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Around HYPE setting a new all-time high, the explanations on the market have been highly consistent. Since it kept climbing right around the monthly vesting date, it must have been protocol buybacks absorbing the sell pressure. That sounds plausible, but there is one link in the middle that nobody checked: whether the coins written into the vesting schedule ever actually left the custody address. Hyperliquid’s own supply interface is public, and the answer is there. The address that holds the core contributors’ vested share received 238 million tokens at genesis, and today it reads 241.16 million, a bit more than at launch. The extra amount is staking yield, because the entire balance at that address is delegated, and the available balance is zero. The 9.92 million tokens that vest each month have never become part of the circulating supply on the protocol’s own ledger. That number appears on the calendar every month, but not in the market. Vesting expiration only removes one restriction; for the coins to actually reach the market, someone still has to actively un-delegate, withdraw, and place sell orders. On-chain, those are three separate actions, and each one has to be deliberately executed. The price picture also should not be overread. The all-time high was touched on the evening of September 6 at 89.66, but the close that day did not hold above it, and spot today is quoted at 86.39 on OKX. Touching an intraday high and holding above it are two different things; treating a wick as trend confirmation turns a single candle shadow into a conclusion. Let’s do one more layer of arithmetic. Suppose those tokens were actually claimed in a given month and dumped all at once the same day. At current prices, the notional amount would be around $860 million. Over the same time frame, Hyperliquid’s protocol revenue over the past 30 days was $55.35 million, and that is the full ammunition of the assistance fund for buying back HYPE. Using one month’s revenue to absorb one month’s nominal unlock amount would only cover a small fraction. So attributing this new high to buybacks is looking in the wrong direction. Right now, HYPE is being priced off the 299 million tokens that are actually circulating; the vesting schedule numbers never entered that pool. The real point worth scrutinizing is the revenue line. OAK Research’s Lilian Aliaga compiled a set of figures in late August. Quarterly protocol revenue fell from $357 million in Q3 2025 to $202 million in Q2 this year, and the assistance fund’s buyback amount was cut roughly in half as well. She sees this as an active choice: Hyperliquid is giving more and more fees to developers building products on top of it, trading revenue for activity and market share. I agree with her on the direction, but I would not stop the risk analysis at revenue. Declining revenue is a slow variable; there are signs before the quarterly report comes out, and readers have time to react. The fast variable is the custody address balance. The 241 million tokens there are equal to 80% of the circulating supply. Although unstaking takes time, the queue is only a few days. If nobody is claiming today, that is a holder’s deliberate choice after doing the math; the contract has not welded these tokens shut. The calculation is actually straightforward. Tokens left staked keep earning yield; withdrawing them means giving up that yield in exchange for an uncertain sale price. As long as HYPE keeps trending upward, staying put is the most profitable move. But that logic depends on the price trend, and trends change; once they do, the answer the same group of people calculates will change too. The assistance fund is also a two-sided story. Its 47.04 million HYPE were accumulated at an average cost of $27.22, a position close to one-sixth of circulating supply, and the protocol itself is the largest single holder in that pool. When the market rises, this acts as a thick buffer; when revenue falls, it becomes a buyer that is forced to slow down more and more, and everyone knows it cannot keep buying as aggressively. The vesting story around #Hyperliquid is a false issue right now, but it can turn into a real one at any moment, and the trigger condition is clearly identifiable. If the delegated balance at the custody address starts to decline month by month, that means contributors have begun cashing out, and my interpretation above would fail immediately. If protocol revenue continues to fall along the slope seen in Q2, then buyback support will be reduced to little more than a narrative. Checking these two numbers every month is more useful than staring at the vesting calendar. Conversely, don’t overstate the risk either. For staked coins to come out, they have to be un-delegated first, and that action is visible on-chain. They won’t suddenly dump out of nowhere at some unannounced dawn. Next time you see a headline saying some token unlocks billions worth on a given day, first take a look at the project’s own supply interface. How much remains in the custody address? Is it fully delegated? You can check it in two minutes. The gap between nominal unlock amounts and actual circulating supply increases is often an order of magnitude or more, and $HYPE is just the clearest example of that gap right now.
Around HYPE setting a new all-time high, the explanations on the market have been highly consistent. Since it kept climbing right around the monthly vesting date, it must have been protocol buybacks absorbing the sell pressure. That sounds plausible, but there is one link in the middle that nobody checked: whether the coins written into the vesting schedule ever actually left the custody address.

Hyperliquid’s own supply interface is public, and the answer is there. The address that holds the core contributors’ vested share received 238 million tokens at genesis, and today it reads 241.16 million, a bit more than at launch. The extra amount is staking yield, because the entire balance at that address is delegated, and the available balance is zero. The 9.92 million tokens that vest each month have never become part of the circulating supply on the protocol’s own ledger. That number appears on the calendar every month, but not in the market. Vesting expiration only removes one restriction; for the coins to actually reach the market, someone still has to actively un-delegate, withdraw, and place sell orders. On-chain, those are three separate actions, and each one has to be deliberately executed.

The price picture also should not be overread. The all-time high was touched on the evening of September 6 at 89.66, but the close that day did not hold above it, and spot today is quoted at 86.39 on OKX. Touching an intraday high and holding above it are two different things; treating a wick as trend confirmation turns a single candle shadow into a conclusion.

Let’s do one more layer of arithmetic. Suppose those tokens were actually claimed in a given month and dumped all at once the same day. At current prices, the notional amount would be around $860 million. Over the same time frame, Hyperliquid’s protocol revenue over the past 30 days was $55.35 million, and that is the full ammunition of the assistance fund for buying back HYPE. Using one month’s revenue to absorb one month’s nominal unlock amount would only cover a small fraction. So attributing this new high to buybacks is looking in the wrong direction. Right now, HYPE is being priced off the 299 million tokens that are actually circulating; the vesting schedule numbers never entered that pool.

The real point worth scrutinizing is the revenue line. OAK Research’s Lilian Aliaga compiled a set of figures in late August. Quarterly protocol revenue fell from $357 million in Q3 2025 to $202 million in Q2 this year, and the assistance fund’s buyback amount was cut roughly in half as well. She sees this as an active choice: Hyperliquid is giving more and more fees to developers building products on top of it, trading revenue for activity and market share.

I agree with her on the direction, but I would not stop the risk analysis at revenue. Declining revenue is a slow variable; there are signs before the quarterly report comes out, and readers have time to react. The fast variable is the custody address balance. The 241 million tokens there are equal to 80% of the circulating supply. Although unstaking takes time, the queue is only a few days. If nobody is claiming today, that is a holder’s deliberate choice after doing the math; the contract has not welded these tokens shut. The calculation is actually straightforward. Tokens left staked keep earning yield; withdrawing them means giving up that yield in exchange for an uncertain sale price. As long as HYPE keeps trending upward, staying put is the most profitable move. But that logic depends on the price trend, and trends change; once they do, the answer the same group of people calculates will change too.

The assistance fund is also a two-sided story. Its 47.04 million HYPE were accumulated at an average cost of $27.22, a position close to one-sixth of circulating supply, and the protocol itself is the largest single holder in that pool. When the market rises, this acts as a thick buffer; when revenue falls, it becomes a buyer that is forced to slow down more and more, and everyone knows it cannot keep buying as aggressively.

The vesting story around #Hyperliquid is a false issue right now, but it can turn into a real one at any moment, and the trigger condition is clearly identifiable. If the delegated balance at the custody address starts to decline month by month, that means contributors have begun cashing out, and my interpretation above would fail immediately. If protocol revenue continues to fall along the slope seen in Q2, then buyback support will be reduced to little more than a narrative. Checking these two numbers every month is more useful than staring at the vesting calendar.

Conversely, don’t overstate the risk either. For staked coins to come out, they have to be un-delegated first, and that action is visible on-chain. They won’t suddenly dump out of nowhere at some unannounced dawn.

Next time you see a headline saying some token unlocks billions worth on a given day, first take a look at the project’s own supply interface. How much remains in the custody address? Is it fully delegated? You can check it in two minutes. The gap between nominal unlock amounts and actual circulating supply increases is often an order of magnitude or more, and $HYPE is just the clearest example of that gap right now.
GameStop will report its full second-quarter earnings after the close on Tuesday. Its core business is selling games and collectibles, but the biggest asset on its balance sheet is an eBay stake. This spring, eBay’s board rejected its takeover proposal, calling it neither credible nor attractive. Ryan Cohen did not stop after being turned down; instead, he kept buying, and now he is eBay’s most troublesome shareholder. The preliminary results at the end of August already told us the big picture. Net profit came in at $290 million to $310 million, up from $168.6 million a year earlier, almost doubling; revenue was $780 million to $800 million, down from $972.2 million a year earlier, a drop of nearly 20%. Profits doubled, but revenue shrank. When those two numbers sit on the same statement, the first question is where the extra money came from. The announcement itself made it clear. Derivatives and equity investments in eBay generated about $238 million in net gains, partly offset by roughly $75 million in losses from digital assets and related receivables. The in-and-out from those two items accounted for a large share of quarterly net income. Neither was earned from selling merchandise. I checked the $75 million myself. GameStop held 4,710 BTC, and its second quarter ended on August 1. BTC closed at $78,687 on May 2 and at $62,823 on August 1, a drop of more than $15,000 per coin. Multiply that by 4,710 coins and you get about $74.7 million. That almost exactly matches the roughly $75 million in the announcement. That loss had nothing to do with how well games sold; it was simply the price of bitcoin moving down over those three months. There is an easy-to-misread detail here. Of those 4,710 coins, 4,709 were pledged as collateral at Coinbase, which had the right to rehypothecate them. Under U.S. accounting rules, those coins have to be removed from the balance sheet and reclassified as digital-asset-related receivables. So the line in the financial statements is a receivable, not a pile of coins. The company also wrote covered calls against this position, and the premium and exercise outcomes are mixed into the same line. The accounting check above matches so closely because the direction is right, but it is not a perfect identity. If Tuesday’s full report shows the number of coins changed, this reconciliation will have to be redone from scratch. What is being obscured by these two mark-to-market swings is the operating profit line: $150 million to $170 million, up from $66.4 million a year earlier. Revenue fell 20%, yet the money made from selling products more than doubled. Last quarter, its gross margin was already clearly improving, and collectibles had become the largest revenue category for the first time; that trend is still at work. Steve Eisman said in April that GameStop’s profit improvement was driven by cost cutting, and that expecting it to transform through acquisitions was a fantasy. The cost-cutting part no longer holds up very well; gross margin improved because the mix of what it sold changed. But he also said this was still a shrinking business, and the second-quarter revenue backs him up. The eBay story needs a few words too. GameStop initially built the exposure through derivatives, then in the second quarter turned it into direct share ownership, causing cash and marketable securities to fall from more than $8 billion a year earlier to just over $5 billion. After the takeover proposal was rejected, Cohen tried to lower the threshold for calling a special shareholder meeting. That proposal was rejected at the June shareholder meeting, with opposition votes clearly exceeding support. Governance went nowhere, so the remaining option is to go around the board and make an offer directly to eBay shareholders. He has publicly said he will not stop and will not walk away. What concerns me more is that the direction of these two positions has already flipped. On August 1, the 43.4 million eBay shares had a carrying value of $4.947 billion, or about $114 per share. Last Friday, eBay closed at $103.41. On a static basis, that position was worth more than $400 million less than at quarter-end, which is larger than the newly confirmed $238 million gain. At the same time, BTC was back at $79,896, above the August 1 level, so the digital-assets line is now in the money. Last quarter stocks made money and coins lost money; so far this quarter, it is exactly the reverse. That position also carries another layer of trouble. Nearly 10% of the equity is being used as pressure, not as something to be freely sold at any time. If he really reduced the stake, the price would likely fall first, and the market would immediately read it as Cohen surrendering, which would also kill the acquisition storyline. The mark-to-market gains and losses come and go on the statements every quarter, but whether they are ever realized depends on whether eBay is ultimately taken over. Reading this report as if it were just a portfolio of securities that can be sold at any time would overstate its certainty. A retailer’s quarterly profit statement is now being determined by two mark-to-market prices, and earnings day is just a snapshot of them. Whether the snapshot looks good has already become a separate question from how well the company actually performed over the quarter. On Tuesday, I will first look at operating profit and gross margin, because those are the only parts of the report that say anything about the business itself. Then I will check whether collectibles continue to account for a larger share of revenue, and exactly where the 20% decline came from. If gross margin falls back on Tuesday and collectibles stop growing as a share of revenue, then the operating-profit improvement in the first half of the year looks more like a comparison boosted by a weak base last year, and Eisman’s other point will start to hold again. As for whether the eBay takeover bid is still on the table, management probably cannot avoid that question. If you own $GMEB, or just want to understand how $BTC gets recorded once it is placed on the balance sheet of a #美股 -listed company, it is worth taking a look at this full report.
GameStop will report its full second-quarter earnings after the close on Tuesday. Its core business is selling games and collectibles, but the biggest asset on its balance sheet is an eBay stake. This spring, eBay’s board rejected its takeover proposal, calling it neither credible nor attractive. Ryan Cohen did not stop after being turned down; instead, he kept buying, and now he is eBay’s most troublesome shareholder.

The preliminary results at the end of August already told us the big picture. Net profit came in at $290 million to $310 million, up from $168.6 million a year earlier, almost doubling; revenue was $780 million to $800 million, down from $972.2 million a year earlier, a drop of nearly 20%. Profits doubled, but revenue shrank. When those two numbers sit on the same statement, the first question is where the extra money came from.

The announcement itself made it clear. Derivatives and equity investments in eBay generated about $238 million in net gains, partly offset by roughly $75 million in losses from digital assets and related receivables. The in-and-out from those two items accounted for a large share of quarterly net income. Neither was earned from selling merchandise.

I checked the $75 million myself. GameStop held 4,710 BTC, and its second quarter ended on August 1. BTC closed at $78,687 on May 2 and at $62,823 on August 1, a drop of more than $15,000 per coin. Multiply that by 4,710 coins and you get about $74.7 million. That almost exactly matches the roughly $75 million in the announcement. That loss had nothing to do with how well games sold; it was simply the price of bitcoin moving down over those three months.

There is an easy-to-misread detail here. Of those 4,710 coins, 4,709 were pledged as collateral at Coinbase, which had the right to rehypothecate them. Under U.S. accounting rules, those coins have to be removed from the balance sheet and reclassified as digital-asset-related receivables. So the line in the financial statements is a receivable, not a pile of coins. The company also wrote covered calls against this position, and the premium and exercise outcomes are mixed into the same line. The accounting check above matches so closely because the direction is right, but it is not a perfect identity. If Tuesday’s full report shows the number of coins changed, this reconciliation will have to be redone from scratch.

What is being obscured by these two mark-to-market swings is the operating profit line: $150 million to $170 million, up from $66.4 million a year earlier. Revenue fell 20%, yet the money made from selling products more than doubled. Last quarter, its gross margin was already clearly improving, and collectibles had become the largest revenue category for the first time; that trend is still at work.

Steve Eisman said in April that GameStop’s profit improvement was driven by cost cutting, and that expecting it to transform through acquisitions was a fantasy. The cost-cutting part no longer holds up very well; gross margin improved because the mix of what it sold changed. But he also said this was still a shrinking business, and the second-quarter revenue backs him up.

The eBay story needs a few words too. GameStop initially built the exposure through derivatives, then in the second quarter turned it into direct share ownership, causing cash and marketable securities to fall from more than $8 billion a year earlier to just over $5 billion. After the takeover proposal was rejected, Cohen tried to lower the threshold for calling a special shareholder meeting. That proposal was rejected at the June shareholder meeting, with opposition votes clearly exceeding support. Governance went nowhere, so the remaining option is to go around the board and make an offer directly to eBay shareholders. He has publicly said he will not stop and will not walk away.

What concerns me more is that the direction of these two positions has already flipped. On August 1, the 43.4 million eBay shares had a carrying value of $4.947 billion, or about $114 per share. Last Friday, eBay closed at $103.41. On a static basis, that position was worth more than $400 million less than at quarter-end, which is larger than the newly confirmed $238 million gain. At the same time, BTC was back at $79,896, above the August 1 level, so the digital-assets line is now in the money. Last quarter stocks made money and coins lost money; so far this quarter, it is exactly the reverse.

That position also carries another layer of trouble. Nearly 10% of the equity is being used as pressure, not as something to be freely sold at any time. If he really reduced the stake, the price would likely fall first, and the market would immediately read it as Cohen surrendering, which would also kill the acquisition storyline. The mark-to-market gains and losses come and go on the statements every quarter, but whether they are ever realized depends on whether eBay is ultimately taken over. Reading this report as if it were just a portfolio of securities that can be sold at any time would overstate its certainty.

A retailer’s quarterly profit statement is now being determined by two mark-to-market prices, and earnings day is just a snapshot of them. Whether the snapshot looks good has already become a separate question from how well the company actually performed over the quarter.

On Tuesday, I will first look at operating profit and gross margin, because those are the only parts of the report that say anything about the business itself. Then I will check whether collectibles continue to account for a larger share of revenue, and exactly where the 20% decline came from. If gross margin falls back on Tuesday and collectibles stop growing as a share of revenue, then the operating-profit improvement in the first half of the year looks more like a comparison boosted by a weak base last year, and Eisman’s other point will start to hold again. As for whether the eBay takeover bid is still on the table, management probably cannot avoid that question. If you own $GMEB , or just want to understand how $BTC gets recorded once it is placed on the balance sheet of a #美股 -listed company, it is worth taking a look at this full report.
The people standing in the way of the crypto industry in Washington this week are not on the Democratic side. Missouri’s Josh Hawley and Kansas’s Jerry Moran have both said that if the stablecoin rewards language is not changed, they will vote no. In the same camp, Oklahoma’s Lankford and South Dakota’s Rounds have also put the concern about community bank deposit outflows on the table. These lawmakers are from the same party as the bill’s backers. The Senate has set the vote for 2:15 p.m. Eastern Time on September 15. What is being voted on that day is whether the bill can be brought to the floor for debate; the bill itself will not yet be up for passage, and the threshold is also 60 votes. Republicans hold 53 seats, so by the simplest math they would need at least seven Democrats to reach 60. But if two or three of their own defect first, the number of Democrats needed rises to more than ten. CLARITY is trying to settle who regulates a token. The bill gives the CFTC authority over spot digital commodity markets, while the part deemed to be securities remains with the SEC. The House has already passed it, and it is stuck in the Senate. After a year of talks, three issues remain unresolved: conflict-of-interest rules for government officials and their families holding crypto assets, the language on enforcement and anti-money-laundering, and the one closest to users: whether stablecoins can pay yields at all. That last issue has recently changed in nature. Tillis and Alsobrooks worked out a compromise in the spring: rewards economically equivalent to bank deposit interest would be banned, while rewards tied to usage would be allowed. If you use it to pay or trade, the platform can give you rebates; if the money just sits in the account, the platform cannot calculate yield on a daily basis. The banking industry rejects that carve-out. The Bank Policy Institute and the American Bankers Association say that as long as stablecoins can pay any form of yield, deposits will flow out of the regulated banking system, with community banks hit first. Coinbase takes the opposite view, arguing that rewards programs are a competitive necessity and are different from deposit interest. Lummis is on the side of allowing them. So Republican senators from agricultural states ended up on the banks’ side, clashing with their own party leadership. The conflict between crypto and banking has already been rewritten on #CLARITY法案 as a conflict inside the Republican Party, and the vote gap has never been only on the other side. The Democratic side has not balanced its books either. A seven-senator joint statement at the end of July said it plainly: the text Republicans have proposed is not enough yet, and ethics, consumer protection, illicit finance, conflicts of interest, and market integrity all need to be strengthened. The signers were Cortez Masto, Alsobrooks, Booker, Gallego, Hickenlooper, Warner, and Warnock. Those seven happen to be the very bloc most likely to break ranks. In late August, Gillibrand made her position final: without an enforceable ban on profit for sitting officials, she will not vote for it. Prediction markets are more informative than headlines. On Polymarket, the contract on the bill being signed into law this year was at 14.5% this morning; in February it was above 80%, and it has been sliding for seven months. More telling is the adjacent set of contracts broken down by vote total: the contract for the final vote to get more than 50 votes was at 28%, and the one for more than 60 votes was at 23.5%, only a little more than four percentage points apart. Bettors think that if the bill really makes it to a final vote and gets a simple majority, it has basically already found its 60 votes. It will not die in the tally; it will die before it ever reaches the floor. On the same page there is also a set of contracts betting on whether a particular senator will vote yes. Hawley is at 18.5%, Moran at 14.5%. Those numbers should be discounted, because the settlement rules say that if there is no final vote this year, everyone is settled as not having voted yes, which drags all prices down a layer based on whether the vote happens at all. What can be read is the relative order. In that order, Democrats Warnock and Andy Kim are both around 40%, well above Hawley and Moran. Bettors judge that this bill will lose more Republican votes internally than Democratic votes. Galaxy’s Alex Thorn cut the odds of enactment this year to 10% in mid-August, arguing that after the Senate reconvenes on September 14, there are only two or three usable weeks left and neither the ethics issue nor the banking issue has been resolved. Armstrong said he expects support from more than 60 votes. That comes from the CEO of the biggest beneficiary, so it can be treated as an industry line, not a vote count. I lean toward Thorn’s view, based on the structure shown by the contract breakdown above: the bottleneck is whether the negotiation can be closed, not persuading Democrats. $BTC was at $79,929 this morning and barely moved over the course of the day. Over the past seven months, the odds on this bill have fallen from 80% to 15%, and $BTC has not collapsed along with them; the market had already priced in failure. If the September 15 vote falls short, the price is unlikely to make much of a move. What has not been priced in is the other side. There is only one signal that could overturn the judgment above: a new version of the stablecoin rewards language, followed by one of Hawley, Moran, Lankford, or Rounds publicly changing his position. If that happens, the Polymarket line will move first, and the vote will just be a formality. The Senate reconvenes on September 14, voting starts on the afternoon of the 15th, and there is only a little more than one day in between; who gives way during that window will tell you the outcome sooner than the roll call on the day itself. The FOMC rate decision comes out on the afternoon of September 16, right after this procedural vote. If the bill fails on the 15th, the next day’s macro news can wash it away within hours, and the week’s crypto policy narrative will be trailing the Fed. Over the next week, watch the public statements of those Republican senators and whether a new draft of the stablecoin rewards language appears. This line will tell you more clearly than Washington’s upbeat spin how far the bill has actually progressed.
The people standing in the way of the crypto industry in Washington this week are not on the Democratic side. Missouri’s Josh Hawley and Kansas’s Jerry Moran have both said that if the stablecoin rewards language is not changed, they will vote no. In the same camp, Oklahoma’s Lankford and South Dakota’s Rounds have also put the concern about community bank deposit outflows on the table. These lawmakers are from the same party as the bill’s backers.

The Senate has set the vote for 2:15 p.m. Eastern Time on September 15. What is being voted on that day is whether the bill can be brought to the floor for debate; the bill itself will not yet be up for passage, and the threshold is also 60 votes. Republicans hold 53 seats, so by the simplest math they would need at least seven Democrats to reach 60. But if two or three of their own defect first, the number of Democrats needed rises to more than ten.

CLARITY is trying to settle who regulates a token. The bill gives the CFTC authority over spot digital commodity markets, while the part deemed to be securities remains with the SEC. The House has already passed it, and it is stuck in the Senate. After a year of talks, three issues remain unresolved: conflict-of-interest rules for government officials and their families holding crypto assets, the language on enforcement and anti-money-laundering, and the one closest to users: whether stablecoins can pay yields at all.

That last issue has recently changed in nature. Tillis and Alsobrooks worked out a compromise in the spring: rewards economically equivalent to bank deposit interest would be banned, while rewards tied to usage would be allowed. If you use it to pay or trade, the platform can give you rebates; if the money just sits in the account, the platform cannot calculate yield on a daily basis. The banking industry rejects that carve-out. The Bank Policy Institute and the American Bankers Association say that as long as stablecoins can pay any form of yield, deposits will flow out of the regulated banking system, with community banks hit first. Coinbase takes the opposite view, arguing that rewards programs are a competitive necessity and are different from deposit interest. Lummis is on the side of allowing them.

So Republican senators from agricultural states ended up on the banks’ side, clashing with their own party leadership. The conflict between crypto and banking has already been rewritten on #CLARITY法案 as a conflict inside the Republican Party, and the vote gap has never been only on the other side.

The Democratic side has not balanced its books either. A seven-senator joint statement at the end of July said it plainly: the text Republicans have proposed is not enough yet, and ethics, consumer protection, illicit finance, conflicts of interest, and market integrity all need to be strengthened. The signers were Cortez Masto, Alsobrooks, Booker, Gallego, Hickenlooper, Warner, and Warnock. Those seven happen to be the very bloc most likely to break ranks. In late August, Gillibrand made her position final: without an enforceable ban on profit for sitting officials, she will not vote for it.

Prediction markets are more informative than headlines. On Polymarket, the contract on the bill being signed into law this year was at 14.5% this morning; in February it was above 80%, and it has been sliding for seven months. More telling is the adjacent set of contracts broken down by vote total: the contract for the final vote to get more than 50 votes was at 28%, and the one for more than 60 votes was at 23.5%, only a little more than four percentage points apart. Bettors think that if the bill really makes it to a final vote and gets a simple majority, it has basically already found its 60 votes. It will not die in the tally; it will die before it ever reaches the floor.

On the same page there is also a set of contracts betting on whether a particular senator will vote yes. Hawley is at 18.5%, Moran at 14.5%. Those numbers should be discounted, because the settlement rules say that if there is no final vote this year, everyone is settled as not having voted yes, which drags all prices down a layer based on whether the vote happens at all. What can be read is the relative order. In that order, Democrats Warnock and Andy Kim are both around 40%, well above Hawley and Moran. Bettors judge that this bill will lose more Republican votes internally than Democratic votes.

Galaxy’s Alex Thorn cut the odds of enactment this year to 10% in mid-August, arguing that after the Senate reconvenes on September 14, there are only two or three usable weeks left and neither the ethics issue nor the banking issue has been resolved. Armstrong said he expects support from more than 60 votes. That comes from the CEO of the biggest beneficiary, so it can be treated as an industry line, not a vote count. I lean toward Thorn’s view, based on the structure shown by the contract breakdown above: the bottleneck is whether the negotiation can be closed, not persuading Democrats.

$BTC was at $79,929 this morning and barely moved over the course of the day. Over the past seven months, the odds on this bill have fallen from 80% to 15%, and $BTC has not collapsed along with them; the market had already priced in failure. If the September 15 vote falls short, the price is unlikely to make much of a move. What has not been priced in is the other side.

There is only one signal that could overturn the judgment above: a new version of the stablecoin rewards language, followed by one of Hawley, Moran, Lankford, or Rounds publicly changing his position. If that happens, the Polymarket line will move first, and the vote will just be a formality. The Senate reconvenes on September 14, voting starts on the afternoon of the 15th, and there is only a little more than one day in between; who gives way during that window will tell you the outcome sooner than the roll call on the day itself.

The FOMC rate decision comes out on the afternoon of September 16, right after this procedural vote. If the bill fails on the 15th, the next day’s macro news can wash it away within hours, and the week’s crypto policy narrative will be trailing the Fed.

Over the next week, watch the public statements of those Republican senators and whether a new draft of the stablecoin rewards language appears. This line will tell you more clearly than Washington’s upbeat spin how far the bill has actually progressed.
After the clinical data for the cancer vaccine came out, Moderna's management immediately went to the bond market and sold a batch of convertible notes. The notes pay no interest, and the conversion price was set well above the stock price at the time. The terms for the institutions willing to put up the money were simple: the stock would have to rise much further before the paper they bought would start to be worth anything. The company behind $MRNAB had just posted its biggest single-day gain in history, then turned around and financed itself this way. Management's attitude is already written into the action. At the current price, selling options is more attractive than selling stock. On August 19, Merck and Moderna announced the results of INTerpath-001. The personalized neoantigen therapy intismeran autogene, combined with Keytruda, was used in patients with high-risk melanoma after complete resection. The primary endpoint of recurrence-free survival was met, and the key secondary endpoint of distant metastasis-free survival was also met. mRNA #癌症疫苗 achieved a phase 3 positive result for the first time, and it was also the first time for the personalized neoantigen approach. On the day of the news, Moderna's common stock jumped from $62.96 to $174.38, its biggest single-day gain since listing. Only the conclusion was announced. The two companies did not provide a hazard ratio, nor did they give any specific efficacy figures. They only said the results were statistically significant and clinically meaningful, with detailed data to be presented later at a scientific conference, while overall survival is still being followed. The money that rushed in on August 19 was buying a qualitative statement. And it was buying far more than melanoma. The platform also has nine other trials under way, covering lung cancer, bladder cancer, kidney cancer, pancreatic cancer, and gastric cancer. Success in one tumor type at phase 3 was treated as a pass for the whole pipeline. Simon Baker of Rothschild & Co Redburn downgraded the stock from neutral to sell on September 3, while sharply raising the target price to $81. He said the data were unquestionably good, but the stock's reaction implied the therapy would work across nearly all tumor types, even though there is almost no data for those cancers right now. Sell-side analysts split into two camps. Myles Minter of William Blair ran the numbers. For melanoma alone, on a 50-50 split with Merck, Moderna's annual peak sales could reach $5.4 billion. The opposing view focused more on the mechanism. Daina Graybosch of Leerink Partners pointed out that melanoma is already the most suitable cancer for a vaccine approach. Extrapolating success here to other cancers involves several additional steps, and the cost of individualized manufacturing is still very real. Cory Kasimov of Evercore ISI noted that the risk-reduction benchmark management used this time was a step back from the phase 2 result. The phase 2 numbers are public. Follow-up data from KEYNOTE-942 showed the combination therapy reduced the risk of recurrence or death by 49%. With phase 3 scaling the sample to more than one thousand patients, no one knows where the hazard ratio will land today. Back to the balance sheet. Over the past twelve months, Moderna's revenue of $2.23 billion is still declining, net loss is $3.15 billion, and market cap is $58.1 billion. This combination cannot be explained by conventional valuation methods; what is holding it up is confidence in a pipeline that has not yet disclosed the numbers. The cash line is clearer. At the end of June, cash and investments stood at $6.9 billion, down from three months earlier, and the company's own year-end guidance is for that to fall to around $5 billion. At that burn rate, without financing, the remaining runway would only be two to three years. The $3 billion zero-coupon convertible note solved that problem in one shot. The private placement was completed on September 1, with maturity in 2032 and a conversion price of about $210.58. An additional capped call was also put in place, raising the effective dilution threshold another notch. The cost of funds is zero; the price paid is giving up part of future upside. That $210.58 figure says more than the financing size does. Management was willing to sell future upside at this level, which shows they are at least comfortable with the current stock price. Not paying interest is the other side of the same signal: institutions were willing to give up all coupon income because the stock's current volatility made the embedded option value high enough that interest was unnecessary. And that volatility comes from a risk ratio no one has seen yet. This stock is currently in a state that cannot be priced, which is a different issue from whether it is expensive. Baker's target price of $81 is not one I really buy. He himself admits the data are good; the source of the $81 number is the valuation model, and it has little to do with this readout. On a biotech stock waiting for a key data readout, assigning a target price precise to the nearest dollar from a valuation model is not convincing. Whether the view changes depends on when that hazard ratio is released and where it lands. If the phase 3 hazard ratio is close to the phase 2 level, then doubts about extrapolation lose their footing, and the $5.4 billion peak-sales assumption gets a foundation. If it is clearly lower, near the benchmark Kasimov described, the drug will likely still win approval, but the $58 billion-plus market cap will lose its anchor. That judgment could also be wrong. If William Blair's view proves right, melanoma alone could support a substantial portion of today's valuation, and the other eight tumor types would amount to free options. Merck is covering half the development cost and providing Keytruda along with its entire commercial infrastructure, which is a real burden reduction for a company that is still losing money. Once the financing is in the bank, balance-sheet risk is much lower than it was a month ago, and that alone should lift the valuation of the whole pipeline. Before the hazard ratio is published, the price is mainly supported by confidence. $MRNAB spot is now quoted at $144.68, down 5.74% in 24 hours, and the common stock has also been trending lower this week. If you want to follow this line, watch for when the companies announce which conference will host the data presentation, and when the first readout outside melanoma in the nine trials comes out. Those two things matter more than the daily price swings in determining whether the valuation can hold.
After the clinical data for the cancer vaccine came out, Moderna's management immediately went to the bond market and sold a batch of convertible notes. The notes pay no interest, and the conversion price was set well above the stock price at the time. The terms for the institutions willing to put up the money were simple: the stock would have to rise much further before the paper they bought would start to be worth anything.

The company behind $MRNAB had just posted its biggest single-day gain in history, then turned around and financed itself this way. Management's attitude is already written into the action. At the current price, selling options is more attractive than selling stock.

On August 19, Merck and Moderna announced the results of INTerpath-001. The personalized neoantigen therapy intismeran autogene, combined with Keytruda, was used in patients with high-risk melanoma after complete resection. The primary endpoint of recurrence-free survival was met, and the key secondary endpoint of distant metastasis-free survival was also met. mRNA #癌症疫苗 achieved a phase 3 positive result for the first time, and it was also the first time for the personalized neoantigen approach. On the day of the news, Moderna's common stock jumped from $62.96 to $174.38, its biggest single-day gain since listing.

Only the conclusion was announced. The two companies did not provide a hazard ratio, nor did they give any specific efficacy figures. They only said the results were statistically significant and clinically meaningful, with detailed data to be presented later at a scientific conference, while overall survival is still being followed. The money that rushed in on August 19 was buying a qualitative statement.

And it was buying far more than melanoma. The platform also has nine other trials under way, covering lung cancer, bladder cancer, kidney cancer, pancreatic cancer, and gastric cancer. Success in one tumor type at phase 3 was treated as a pass for the whole pipeline. Simon Baker of Rothschild & Co Redburn downgraded the stock from neutral to sell on September 3, while sharply raising the target price to $81. He said the data were unquestionably good, but the stock's reaction implied the therapy would work across nearly all tumor types, even though there is almost no data for those cancers right now.

Sell-side analysts split into two camps. Myles Minter of William Blair ran the numbers. For melanoma alone, on a 50-50 split with Merck, Moderna's annual peak sales could reach $5.4 billion. The opposing view focused more on the mechanism. Daina Graybosch of Leerink Partners pointed out that melanoma is already the most suitable cancer for a vaccine approach. Extrapolating success here to other cancers involves several additional steps, and the cost of individualized manufacturing is still very real. Cory Kasimov of Evercore ISI noted that the risk-reduction benchmark management used this time was a step back from the phase 2 result.

The phase 2 numbers are public. Follow-up data from KEYNOTE-942 showed the combination therapy reduced the risk of recurrence or death by 49%. With phase 3 scaling the sample to more than one thousand patients, no one knows where the hazard ratio will land today.

Back to the balance sheet. Over the past twelve months, Moderna's revenue of $2.23 billion is still declining, net loss is $3.15 billion, and market cap is $58.1 billion. This combination cannot be explained by conventional valuation methods; what is holding it up is confidence in a pipeline that has not yet disclosed the numbers.

The cash line is clearer. At the end of June, cash and investments stood at $6.9 billion, down from three months earlier, and the company's own year-end guidance is for that to fall to around $5 billion. At that burn rate, without financing, the remaining runway would only be two to three years.

The $3 billion zero-coupon convertible note solved that problem in one shot. The private placement was completed on September 1, with maturity in 2032 and a conversion price of about $210.58. An additional capped call was also put in place, raising the effective dilution threshold another notch. The cost of funds is zero; the price paid is giving up part of future upside.

That $210.58 figure says more than the financing size does. Management was willing to sell future upside at this level, which shows they are at least comfortable with the current stock price. Not paying interest is the other side of the same signal: institutions were willing to give up all coupon income because the stock's current volatility made the embedded option value high enough that interest was unnecessary. And that volatility comes from a risk ratio no one has seen yet.

This stock is currently in a state that cannot be priced, which is a different issue from whether it is expensive. Baker's target price of $81 is not one I really buy. He himself admits the data are good; the source of the $81 number is the valuation model, and it has little to do with this readout. On a biotech stock waiting for a key data readout, assigning a target price precise to the nearest dollar from a valuation model is not convincing.

Whether the view changes depends on when that hazard ratio is released and where it lands. If the phase 3 hazard ratio is close to the phase 2 level, then doubts about extrapolation lose their footing, and the $5.4 billion peak-sales assumption gets a foundation. If it is clearly lower, near the benchmark Kasimov described, the drug will likely still win approval, but the $58 billion-plus market cap will lose its anchor.

That judgment could also be wrong. If William Blair's view proves right, melanoma alone could support a substantial portion of today's valuation, and the other eight tumor types would amount to free options. Merck is covering half the development cost and providing Keytruda along with its entire commercial infrastructure, which is a real burden reduction for a company that is still losing money. Once the financing is in the bank, balance-sheet risk is much lower than it was a month ago, and that alone should lift the valuation of the whole pipeline.

Before the hazard ratio is published, the price is mainly supported by confidence. $MRNAB spot is now quoted at $144.68, down 5.74% in 24 hours, and the common stock has also been trending lower this week. If you want to follow this line, watch for when the companies announce which conference will host the data presentation, and when the first readout outside melanoma in the nine trials comes out. Those two things matter more than the daily price swings in determining whether the valuation can hold.
The Fed is no longer speaking a single language. At the Jackson Hole meeting at the end of last month, Chairman Warsh said that the recent moderate inflation readings did not indicate a substantial improvement in underlying trends, and the market immediately priced in a September rate hike. A few days later, Governor Waller stated that if the data in the next two weeks continued in the current direction, he tended to support keeping rates unchanged, and the odds of a rate hike were reduced that day. The next day, the August non-farm payrolls data was released, and the odds were pushed back up. The market priced in the same policy meeting three times in one week. What needs explanation is the day in between. On the very trading day that Waller reduced the odds, the US spot Bitcoin ETF received a net inflow of $731 million, the highest single-day inflow since mid-January of this year. BlackRock's IBIT alone absorbed $454 million, and $BTC closed with a large bullish candle that day. The next day, the non-farm payrolls report showed 162,000 new jobs, more than double market expectations. The unemployment rate remained unchanged, pushing the probability of an interest rate hike to 58%, and the price fell back below 80,000, currently hovering around 79,538. Whether that money entered based on expectations of an interest rate cut or simply ignored interest rates completely leads to entirely different outcomes. This can be discerned from the position structure alone. First, examine whether leverage has kept pace. The funding rate for Binance's BTCUSDT perpetual contract only reached a maximum of 0.0089%/8h during the entire rebound, failing to even touch the neutral benchmark of 0.01%. The bulls consistently failed to pay a premium for their positions; the driving force behind the price increase wasn't in the contract market. Open interest speaks even more directly. On September 3rd, the price rose by five points, but the open interest in this Binance contract actually contracted that day. Price increases coupled with declining open interest typically indicate that short sellers are being forced to liquidate their positions, rather than new long positions being established. On that day, nearly $250 million worth of short positions were forcibly liquidated across the entire market ($BTC contracts). A significant portion of this price increase came from short sellers being squeezed out, not from continuous buying. On non-farm payroll day, the direction reversed. Prices fell, but open interest jumped from 107,000 contracts to 112,700 contracts, with the extra 5,000-plus contracts representing newly opened short positions. Marginal participants were betting with real money that the Federal Reserve would raise interest rates; today, open interest has fallen, and some of those short positions have been realized.The sell-side assessments over the past two months have been quite contradictory. In July, Citi slashed its 12-month target to 82,000 and simultaneously reduced its ETF net inflow forecast for the next year to zero. Two months later, 731 million flowed in in a single day. Another theory circulating in the market suggests that the recent rebound was mainly driven by derivatives and leverage, with weak spot demand. The previous two figures do not support this view. Funding rates did not rise, and open interest shrank on the day of the price increase. These two simultaneous events point to spot absorption and short covering. This money is more akin to allocation trading; it entered from the spot market without leverage. Citi's assumption of zero net inflow for the entire year now seems too extreme. However, I don't believe the 731 million is the trigger for a new round of upward movement. A large portion of the September 3rd increase was contributed by forced liquidation; this won't repeat itself. Spot buying alone requires a much larger volume to drive prices. ETF daily inflows are inherently volatile, and a significant net outflow occurred on September 1st. A single day's extreme value doesn't indicate a trend. What could refute this assessment? We'll have the answer next Monday. ETFs will release inflow data for September 4th and 5th. If money continues to flow in during these two days when the probability of an interest rate hike has been pushed to 58%, it suggests that this passive buying is indeed unrelated to short-term interest rate paths, and Citi's assumptions need to be rewritten. If it turns into a net outflow, the money from September 3rd was simply quick money chasing short squeezes, unrelated to asset allocation. I admit the strongest point of contention cannot be ruled out. ETF subscriptions follow price; price precedes subscription orders. Using inflow volume to demonstrate allocation demand inherently carries the risk of misinterpreting cause and effect. Only time will tell whether the inflows can withstand a negative news window. The CPI data in mid-September and the interest rate meeting on the 15th and 16th are that window of opportunity, and the premise of Waller's statement has already been half-destroyed by the non-farm payrolls report. In the coming period, we can observe whether the daily net inflow of the #比特币 spot ETF can remain positive for several consecutive days, and whether the funding rate will leave the neutral range. These two figures can be checked daily and will tell you the nature of this money much earlier than any target price.
The Fed is no longer speaking a single language. At the Jackson Hole meeting at the end of last month, Chairman Warsh said that the recent moderate inflation readings did not indicate a substantial improvement in underlying trends, and the market immediately priced in a September rate hike. A few days later, Governor Waller stated that if the data in the next two weeks continued in the current direction, he tended to support keeping rates unchanged, and the odds of a rate hike were reduced that day. The next day, the August non-farm payrolls data was released, and the odds were pushed back up. The market priced in the same policy meeting three times in one week.

What needs explanation is the day in between. On the very trading day that Waller reduced the odds, the US spot Bitcoin ETF received a net inflow of $731 million, the highest single-day inflow since mid-January of this year. BlackRock's IBIT alone absorbed $454 million, and $BTC closed with a large bullish candle that day. The next day, the non-farm payrolls report showed 162,000 new jobs, more than double market expectations. The unemployment rate remained unchanged, pushing the probability of an interest rate hike to 58%, and the price fell back below 80,000, currently hovering around 79,538.

Whether that money entered based on expectations of an interest rate cut or simply ignored interest rates completely leads to entirely different outcomes. This can be discerned from the position structure alone.

First, examine whether leverage has kept pace. The funding rate for Binance's BTCUSDT perpetual contract only reached a maximum of 0.0089%/8h during the entire rebound, failing to even touch the neutral benchmark of 0.01%. The bulls consistently failed to pay a premium for their positions; the driving force behind the price increase wasn't in the contract market.

Open interest speaks even more directly. On September 3rd, the price rose by five points, but the open interest in this Binance contract actually contracted that day. Price increases coupled with declining open interest typically indicate that short sellers are being forced to liquidate their positions, rather than new long positions being established. On that day, nearly $250 million worth of short positions were forcibly liquidated across the entire market ($BTC contracts). A significant portion of this price increase came from short sellers being squeezed out, not from continuous buying.

On non-farm payroll day, the direction reversed. Prices fell, but open interest jumped from 107,000 contracts to 112,700 contracts, with the extra 5,000-plus contracts representing newly opened short positions. Marginal participants were betting with real money that the Federal Reserve would raise interest rates; today, open interest has fallen, and some of those short positions have been realized.The sell-side assessments over the past two months have been quite contradictory. In July, Citi slashed its 12-month target to 82,000 and simultaneously reduced its ETF net inflow forecast for the next year to zero. Two months later, 731 million flowed in in a single day. Another theory circulating in the market suggests that the recent rebound was mainly driven by derivatives and leverage, with weak spot demand.

The previous two figures do not support this view. Funding rates did not rise, and open interest shrank on the day of the price increase. These two simultaneous events point to spot absorption and short covering. This money is more akin to allocation trading; it entered from the spot market without leverage. Citi's assumption of zero net inflow for the entire year now seems too extreme.

However, I don't believe the 731 million is the trigger for a new round of upward movement. A large portion of the September 3rd increase was contributed by forced liquidation; this won't repeat itself. Spot buying alone requires a much larger volume to drive prices. ETF daily inflows are inherently volatile, and a significant net outflow occurred on September 1st. A single day's extreme value doesn't indicate a trend.

What could refute this assessment? We'll have the answer next Monday. ETFs will release inflow data for September 4th and 5th. If money continues to flow in during these two days when the probability of an interest rate hike has been pushed to 58%, it suggests that this passive buying is indeed unrelated to short-term interest rate paths, and Citi's assumptions need to be rewritten. If it turns into a net outflow, the money from September 3rd was simply quick money chasing short squeezes, unrelated to asset allocation.

I admit the strongest point of contention cannot be ruled out. ETF subscriptions follow price; price precedes subscription orders. Using inflow volume to demonstrate allocation demand inherently carries the risk of misinterpreting cause and effect. Only time will tell whether the inflows can withstand a negative news window. The CPI data in mid-September and the interest rate meeting on the 15th and 16th are that window of opportunity, and the premise of Waller's statement has already been half-destroyed by the non-farm payrolls report.

In the coming period, we can observe whether the daily net inflow of the #比特币 spot ETF can remain positive for several consecutive days, and whether the funding rate will leave the neutral range. These two figures can be checked daily and will tell you the nature of this money much earlier than any target price.
Verified
In Broadcom’s earnings call, analysts kept pressing Hock Tan on gross margin, and he told them outright not to focus on that metric, but on operating margin instead. When a CEO actively asks the market to use a different yardstick to measure the company, it usually means the old one is starting to look bad. The recent move in $AVGOB has been following that old yardstick. The reading on the old yardstick is this: for the quarter ended August 2, gross margin was 75%, next quarter guidance is 73%, and it was still 78% in the same period last year. The CFO said the reason is that custom XPU products now contain more and more memory, and that memory has to be bought from outside and packaged in. That part of the product goes through Broadcom’s books as revenue, but it dilutes margins. The more AI chips Broadcom sells, the thinner the margin gets. Tan’s statement holds up in accounting terms. This quarter’s operating margin was actually higher than last year’s, because expenses did not increase at all, and R&D spending was even lower than a year ago. When revenue nearly doubles and expenses stay flat, leverage naturally appears. But that kind of leverage can only happen once. Next quarter’s operating margin guidance has already been cut to 66%, while AI revenue is still supposed to head toward $115 billion in 2027 and $230 billion in 2028. At that scale, R&D and capacity investment cannot stay suppressed forever, while gross margin is still trending lower. The earnings report itself was actually solid. Revenue came in at $29.59 billion, about twice the level of a year earlier, and both revenue and EPS beat expectations. AI semiconductor revenue was $16.7 billion, up 221% year over year, with next-quarter guidance at $21.7 billion. The company also raised its 2027 AI target from the figure it gave last quarter. Even so, the stock fell more than 6% after hours. Most reports blamed that on total revenue guidance of $34.8 billion coming in slightly below sell-side estimates, but a gap of just a few billion dollars hardly explains such a large reaction. What was re-priced was the structure of growth. The company now really has only one leg left, #AI ; non-AI semiconductors are up just 5% year over year and flat sequentially, and wireless is still a drag. Infrastructure software guidance for next quarter also ticked down slightly, as the growth from VMware’s shift to subscriptions has reached a plateau. Almost all of the incremental revenue next quarter will come from AI. Traditional businesses provide no cushion; if the AI curve slows, the entire income statement slows with it. Tan said that in 2027 Broadcom’s biggest XPU customer will switch to Anthropic, with OpenAI second, and that the long-term Google agreement also amounts to shipments in the tens of billions of dollars per year. He added another point: next year’s supply is already locked in, demand exceeds the company’s guidance, and the bottleneck is now on the customer side, where it is still unclear when data centers will actually get powered on. He said the company gives guidance conservatively because once chips are shipped, they may not be installed into racks on time. That shifts the risk elsewhere. Broadcom is no longer worried about orders or capacity; it is worried about other people’s construction projects. Whether AI revenue arrives on schedule now depends on the buildout progress and financing pace of a few customers, and those customers are highly concentrated. That is where the disagreement lies. On September 3, Bernstein raised its target price to $575, arguing that the multi-year guidance itself matters more than a single quarter’s gross margin and that confirmed demand is more important than one gross margin print. On the same day, RBC kept a Neutral rating and a $400 target, saying that component supply and data-center readiness are not in Broadcom’s hands, and that on 2027 earnings the stock is about 30% more expensive than Nvidia. The strongest argument on the other side is cash. This quarter free cash flow was $13.67 billion, nearly half of revenue, so even if customers’ construction projects are delayed by a year, Broadcom itself can still handle it. I side more with RBC’s ranking of the risks. Confirmed demand is certainly a good thing, but the timing of delivery has been handed over to customers, and among those customers, two are still going through round after round of fundraising, with money coming from capital markets rather than operating cash flow. For $230 billion to be real, their capital expenditure plans have to be executed without a single year of cuts. Betting on Broadcom’s execution is one thing; betting on someone else’s cash flow is another. This time, that is what is really being sold. What could most easily overturn my view is still gross margin. If next quarter’s actual gross margin comes in above the 73% guidance, that would mean memory cost pressure is not as rigid as feared, and Tan’s request to change the yardstick would make more sense. $AVGOB is currently at $359.87, up 1.64% over 24 hours, still below its pre-earnings level. In the two days after earnings, trading volume jumped to several times normal, then fell back again. Where gross margin lands next quarter is worth watching.
In Broadcom’s earnings call, analysts kept pressing Hock Tan on gross margin, and he told them outright not to focus on that metric, but on operating margin instead. When a CEO actively asks the market to use a different yardstick to measure the company, it usually means the old one is starting to look bad. The recent move in $AVGOB has been following that old yardstick.

The reading on the old yardstick is this: for the quarter ended August 2, gross margin was 75%, next quarter guidance is 73%, and it was still 78% in the same period last year. The CFO said the reason is that custom XPU products now contain more and more memory, and that memory has to be bought from outside and packaged in. That part of the product goes through Broadcom’s books as revenue, but it dilutes margins. The more AI chips Broadcom sells, the thinner the margin gets.

Tan’s statement holds up in accounting terms. This quarter’s operating margin was actually higher than last year’s, because expenses did not increase at all, and R&D spending was even lower than a year ago. When revenue nearly doubles and expenses stay flat, leverage naturally appears. But that kind of leverage can only happen once. Next quarter’s operating margin guidance has already been cut to 66%, while AI revenue is still supposed to head toward $115 billion in 2027 and $230 billion in 2028. At that scale, R&D and capacity investment cannot stay suppressed forever, while gross margin is still trending lower.

The earnings report itself was actually solid. Revenue came in at $29.59 billion, about twice the level of a year earlier, and both revenue and EPS beat expectations. AI semiconductor revenue was $16.7 billion, up 221% year over year, with next-quarter guidance at $21.7 billion. The company also raised its 2027 AI target from the figure it gave last quarter. Even so, the stock fell more than 6% after hours. Most reports blamed that on total revenue guidance of $34.8 billion coming in slightly below sell-side estimates, but a gap of just a few billion dollars hardly explains such a large reaction.

What was re-priced was the structure of growth. The company now really has only one leg left, #AI ; non-AI semiconductors are up just 5% year over year and flat sequentially, and wireless is still a drag. Infrastructure software guidance for next quarter also ticked down slightly, as the growth from VMware’s shift to subscriptions has reached a plateau. Almost all of the incremental revenue next quarter will come from AI. Traditional businesses provide no cushion; if the AI curve slows, the entire income statement slows with it.

Tan said that in 2027 Broadcom’s biggest XPU customer will switch to Anthropic, with OpenAI second, and that the long-term Google agreement also amounts to shipments in the tens of billions of dollars per year. He added another point: next year’s supply is already locked in, demand exceeds the company’s guidance, and the bottleneck is now on the customer side, where it is still unclear when data centers will actually get powered on. He said the company gives guidance conservatively because once chips are shipped, they may not be installed into racks on time.

That shifts the risk elsewhere. Broadcom is no longer worried about orders or capacity; it is worried about other people’s construction projects. Whether AI revenue arrives on schedule now depends on the buildout progress and financing pace of a few customers, and those customers are highly concentrated.

That is where the disagreement lies. On September 3, Bernstein raised its target price to $575, arguing that the multi-year guidance itself matters more than a single quarter’s gross margin and that confirmed demand is more important than one gross margin print. On the same day, RBC kept a Neutral rating and a $400 target, saying that component supply and data-center readiness are not in Broadcom’s hands, and that on 2027 earnings the stock is about 30% more expensive than Nvidia.

The strongest argument on the other side is cash. This quarter free cash flow was $13.67 billion, nearly half of revenue, so even if customers’ construction projects are delayed by a year, Broadcom itself can still handle it.

I side more with RBC’s ranking of the risks. Confirmed demand is certainly a good thing, but the timing of delivery has been handed over to customers, and among those customers, two are still going through round after round of fundraising, with money coming from capital markets rather than operating cash flow. For $230 billion to be real, their capital expenditure plans have to be executed without a single year of cuts. Betting on Broadcom’s execution is one thing; betting on someone else’s cash flow is another. This time, that is what is really being sold.

What could most easily overturn my view is still gross margin. If next quarter’s actual gross margin comes in above the 73% guidance, that would mean memory cost pressure is not as rigid as feared, and Tan’s request to change the yardstick would make more sense. $AVGOB is currently at $359.87, up 1.64% over 24 hours, still below its pre-earnings level. In the two days after earnings, trading volume jumped to several times normal, then fell back again. Where gross margin lands next quarter is worth watching.
The next Ethereum upgrade still doesn’t have a mainnet date. The date that’s been circulating in Chinese-language crypto communities turns out to be for the testnet. After developers raised it during a meeting, the plan was pushed again to the next meeting. Countdown posters and posts about “the last chance to get on before the upgrade” ran much faster than the schedule itself. Ethereum’s core developers maintain a fork registry. In the row for Glamsterdam, the fields for activated block, timestamp, and epoch are all blank; the status is still marked as planned; and it doesn’t list which EIPs will ultimately be included. In the same repository, the mainnet upgrade and emergency response plan also has empty date tables, and the client team’s contact list is blank too. A fork time for the Sepolia testnet was proposed for September 28. No one objected at the meeting, but it stopped at the “proposed” stage. Treating it as the upgrade date is equivalent to taking developers’ draft notes and mistaking them for the actual schedule. This matters because, in August, $ETH delivered Ethereum’s best month of the year. If you calculate using Binance’s spot monthly chart, August rose by a little over 30%, and the ETH/BTC price relationship has been climbing for a second straight month. The market attributes this rally to three things: ETF inflows, upgrade expectations, and a macro shift. Of the three “legs,” only one holds up under scrutiny. The ETF leg is real—but the size isn’t as thick as rumor suggested, and it only just reversed. On September 3, the U.S. spot Ethereum ETF saw net outflows of $48.07 million, ending more than two weeks of net outflow. On the same day, the spot Bitcoin ETF recorded net inflows of $101 million; the two split for the first time. Looking one layer deeper, BlackRock’s Ethereum product with staking had net inflows of $52.91 million that day—the single biggest source sucking in the money. The money is still in Ethereum; it just moved from a non-yield “shell” to one that can capture staking rewards. This kind of reshuffling provides far less marginal upward pressure on price than genuinely new capital would. The upgrade leg is the one that can’t stand up to close examination. Glamsterdam’s current main thrust is actually the act of changing how blocks are produced. ePBS writes the relationship between proposers and builders into the protocol, and in doing so reduces the MEV fee-cut space. Block-level access lists let execution run in parallel, and there’s also a round of gas repricing. The beneficiaries are block producers, stakers, and L2s that consume throughput. But between them and what ETH as an asset should be worth, there are multiple layers of transmission. And those middle layers are precisely what’s leaking. In Q2, Ethereum mainnet captured only 4.9% of the economic value created by the applications running on top of it; the rest remained with L2s and the applications themselves. Standard Chartered estimated that just the fee diversion from Base alone is equivalent to extracting several tens of billions of dollars from Ethereum’s market value. Matthew Sigel of VanEck has long held a negative view on the long-term value prospects of L2 tokens. That objection flips the other way just as well—once activity moves to rollups, how much can the base asset still receive? ePBS and parallel execution don’t solve this problem: they make the network run faster, but they don’t make ETH collect more money. #Ethereum The macro leg, if anything, has been underestimated. The direct trigger for the September 3 green candle was a Waller comment: inflation can take a bit more time, and this meeting doesn’t need to move interest rates. The odds of a September rate hike dropped sharply that day; Treasury yields eased, and both gold and U.S. stocks strengthened together. ETH rose a bit more than BTC that day, but the direction was the same. Once risk appetite returned, assets with higher elasticity jumped first—that’s beta, and it has little to do with what Ethereum itself did to “create” that move. The most credible bullish voice on the long side is Tom Lee. He set an end-of-year target above $5,000, and he gave specific reasons: stablecoin supply scale, tokenized assets, corporates putting ETH on their balance sheets, and the completion of regulatory groundwork. In that logic, there’s not a single reliance on Glamsterdam. Anyone who is genuinely bullish on Ethereum isn’t betting on that upgrade date. In August’s rally, macro beta did most of the work. A real but not large institutional buy order did some of the remaining part. Upgrade expectations mostly only contributed sentiment—and that sentiment was built on a date that doesn’t even exist. There’s one hard piece of evidence on the long side that I need to make clear: during the period when prices rose, the open interest in perpetual futures didn’t keep stacking up; the funding rate stayed near the benchmark line. Price was bought up gradually in spot rather than via much leverage. This kind of rally is sturdier than a short squeeze, and it’s less likely to trigger a chain of liquidations on a pullback. The August gains themselves hold up; the market just gave credit to the wrong place. There are two scenarios that would make my explanation fail. In the rest of September, if the ETF keeps seeing net outflows while the ETH/BTC ratio still climbs, that would mean there’s buying demand in pricing that I haven’t accounted for, and I would need to reduce the weight I assigned to the institutional capital leg. The other scenario is if once the Glamsterdam mainnet date is set, the ETH/BTC ratio breaks out into an independent trend—that would mean I underestimated the upgrade. Compared with the testnet time on September 28, September 15 is the one that should stay on the calendar. The procedural voting schedule in the Senate for the CLARITY Act is set for that afternoon. You need to gather 60 votes to move it forward, and the current number of seats held by Republicans isn’t enough—you have to pull votes from the other side. The outcome of that vote directly determines the rules under which the stablecoins and tokenized assets on Ethereum will be run next year, and it’s much closer to how block production is scheduled in the protocol than how it relates to ETH pricing. If you want a time point that can help verify who’s right—bulls or bears—you can start by looking at that day.
The next Ethereum upgrade still doesn’t have a mainnet date. The date that’s been circulating in Chinese-language crypto communities turns out to be for the testnet. After developers raised it during a meeting, the plan was pushed again to the next meeting. Countdown posters and posts about “the last chance to get on before the upgrade” ran much faster than the schedule itself.

Ethereum’s core developers maintain a fork registry. In the row for Glamsterdam, the fields for activated block, timestamp, and epoch are all blank; the status is still marked as planned; and it doesn’t list which EIPs will ultimately be included. In the same repository, the mainnet upgrade and emergency response plan also has empty date tables, and the client team’s contact list is blank too. A fork time for the Sepolia testnet was proposed for September 28. No one objected at the meeting, but it stopped at the “proposed” stage. Treating it as the upgrade date is equivalent to taking developers’ draft notes and mistaking them for the actual schedule.

This matters because, in August, $ETH delivered Ethereum’s best month of the year. If you calculate using Binance’s spot monthly chart, August rose by a little over 30%, and the ETH/BTC price relationship has been climbing for a second straight month. The market attributes this rally to three things: ETF inflows, upgrade expectations, and a macro shift. Of the three “legs,” only one holds up under scrutiny.

The ETF leg is real—but the size isn’t as thick as rumor suggested, and it only just reversed. On September 3, the U.S. spot Ethereum ETF saw net outflows of $48.07 million, ending more than two weeks of net outflow. On the same day, the spot Bitcoin ETF recorded net inflows of $101 million; the two split for the first time. Looking one layer deeper, BlackRock’s Ethereum product with staking had net inflows of $52.91 million that day—the single biggest source sucking in the money. The money is still in Ethereum; it just moved from a non-yield “shell” to one that can capture staking rewards. This kind of reshuffling provides far less marginal upward pressure on price than genuinely new capital would.

The upgrade leg is the one that can’t stand up to close examination. Glamsterdam’s current main thrust is actually the act of changing how blocks are produced. ePBS writes the relationship between proposers and builders into the protocol, and in doing so reduces the MEV fee-cut space. Block-level access lists let execution run in parallel, and there’s also a round of gas repricing. The beneficiaries are block producers, stakers, and L2s that consume throughput. But between them and what ETH as an asset should be worth, there are multiple layers of transmission.

And those middle layers are precisely what’s leaking. In Q2, Ethereum mainnet captured only 4.9% of the economic value created by the applications running on top of it; the rest remained with L2s and the applications themselves. Standard Chartered estimated that just the fee diversion from Base alone is equivalent to extracting several tens of billions of dollars from Ethereum’s market value. Matthew Sigel of VanEck has long held a negative view on the long-term value prospects of L2 tokens. That objection flips the other way just as well—once activity moves to rollups, how much can the base asset still receive? ePBS and parallel execution don’t solve this problem: they make the network run faster, but they don’t make ETH collect more money. #Ethereum

The macro leg, if anything, has been underestimated. The direct trigger for the September 3 green candle was a Waller comment: inflation can take a bit more time, and this meeting doesn’t need to move interest rates. The odds of a September rate hike dropped sharply that day; Treasury yields eased, and both gold and U.S. stocks strengthened together. ETH rose a bit more than BTC that day, but the direction was the same. Once risk appetite returned, assets with higher elasticity jumped first—that’s beta, and it has little to do with what Ethereum itself did to “create” that move.

The most credible bullish voice on the long side is Tom Lee. He set an end-of-year target above $5,000, and he gave specific reasons: stablecoin supply scale, tokenized assets, corporates putting ETH on their balance sheets, and the completion of regulatory groundwork. In that logic, there’s not a single reliance on Glamsterdam. Anyone who is genuinely bullish on Ethereum isn’t betting on that upgrade date.

In August’s rally, macro beta did most of the work. A real but not large institutional buy order did some of the remaining part. Upgrade expectations mostly only contributed sentiment—and that sentiment was built on a date that doesn’t even exist. There’s one hard piece of evidence on the long side that I need to make clear: during the period when prices rose, the open interest in perpetual futures didn’t keep stacking up; the funding rate stayed near the benchmark line. Price was bought up gradually in spot rather than via much leverage. This kind of rally is sturdier than a short squeeze, and it’s less likely to trigger a chain of liquidations on a pullback. The August gains themselves hold up; the market just gave credit to the wrong place.

There are two scenarios that would make my explanation fail. In the rest of September, if the ETF keeps seeing net outflows while the ETH/BTC ratio still climbs, that would mean there’s buying demand in pricing that I haven’t accounted for, and I would need to reduce the weight I assigned to the institutional capital leg. The other scenario is if once the Glamsterdam mainnet date is set, the ETH/BTC ratio breaks out into an independent trend—that would mean I underestimated the upgrade.

Compared with the testnet time on September 28, September 15 is the one that should stay on the calendar. The procedural voting schedule in the Senate for the CLARITY Act is set for that afternoon. You need to gather 60 votes to move it forward, and the current number of seats held by Republicans isn’t enough—you have to pull votes from the other side. The outcome of that vote directly determines the rules under which the stablecoins and tokenized assets on Ethereum will be run next year, and it’s much closer to how block production is scheduled in the protocol than how it relates to ETH pricing. If you want a time point that can help verify who’s right—bulls or bears—you can start by looking at that day.
The companies that can’t get their AI data centers powered on the grid, and the queue is too long, some businesses simply move generators into their parks and generate their own power. That’s what Bloom Energy’s business is: solid oxide fuel cells placed on customers’ own land, connect to a natural gas pipeline, and they produce electricity. Construction timelines are measured in weeks. The most common criticism it faces these days is also the most familiar: if it’s burning natural gas, and the war in the Middle East flares up and oil prices surge, won’t its gross margin get wiped out by fuel costs? This question is aimed at the wrong target. Fuel costs have never been on Bloom’s books. In the long-term power supply agreements it signs with customers, Bloom locks in the equipment, maintenance, and the electricity price. The natural gas is broken out separately—customers buy it themselves. The risk disclosure in its annual report says it plainly: rising natural gas prices could make its batteries less attractive to potential customers, reducing demand. The risk sits on the demand side, not the cost side. The revenue structure makes the point even more firmly. In the second quarter, total revenue was $1.065 billion. Out of that, the money Bloom earns from owning power plants and selling power by burning gas was just $9.95 million—less than one percent. $BEB more like a generator manufacturer, with the power-operations segment so small it’s essentially negligible. The manufacturer’s gross margin comes from equipment pricing and production-line efficiency. In Q2, the gross margin of 33.4% was generated this way—gas prices can’t touch it. Even stepping back, if you’re really worried about demand on that side, it’s not like the timing is on your side either. What’s been moving up in the past couple of days is crude oil and European natural gas. Brent is back above $95. Behind that is a fresh round of tensions between Iran and the U.S. Bloom’s machines are plugged into U.S. pipelines and track the market around Henry Hub. Right now it’s a bit above $3 per million BTU—roughly the same as a year ago. Middle East tensions don’t transmit into U.S. gas prices. Blaming Bloom’s fuel cost for this is mixing up two different “gases.” Besides, the people buying Bloom’s machines aren’t buying them because they think electricity will be cheaper. Getting connected to the grid for a data center means waiting in line for years. From signing to turning on power, Bloom counts weeks. They’re buying time. As long as this shortage remains, a slightly higher or lower gas price won’t change customers’ choices—like Oracle’s. If gas prices truly could suppress demand, the prerequisite would be that the grid side first shortens the queue—and that’s not visible right now. What’s on the order side is much more concrete. In early 2024, Oracle increased the size of on-site power it buys from Bloom from 1.2 GW to 2.8 GW. The financing framework Brookfield set up to support AI infrastructure has also been scaled up by several multiples. In the second quarter, the company recorded its first-ever quarterly revenue above $1 billion. Full-year guidance has been raised to nearly double last year. In the founders’ call, they said all major U.S. cloud providers have verified and approved its power supply solution. These things actually happened—not wishful thinking. So where’s the problem with this stock? Start with where the price has gone: a forward P/E of 61x, and the share price has jumped several-fold in the first half. Jefferies cut its rating last month to underperform the broader market, citing that valuation is detached from fundamentals and visibility beyond 2026 is insufficient, plus evidence that investors are already getting overheated. Bank of America is also in the underperform bucket. Morgan Stanley and UBS are on the other side, believing the data-center power gap is big enough and that it’s the main beneficiary. Both sides are arguing about whether the good news has already been priced in at this level, whether the business is actually doing well, no one disputes. There’s another issue that’s closer to gross margin and comes up less often. The warranty accrual balance rose from $20 million at the end of last year to $77.8 million by the end of June. The company’s explanation was fleet degradation. That’s exactly what the short seller Crossroads Capital focused on. If the electrochemical stacks on-site can’t last as long as the company claims, then each additional 1 GW order is also a batch of replacement costs arriving earlier. And the stacks just happen to contain scandium. In July, Hunterbrook’s report questioned whether its scandium supply can get around China, and the stock fell by 30% that month. The company then filed an 8-K and denied it point by point, saying scandium supply is sufficient to cover existing demand and backlog orders and has no dependency on China. The distance between degradation and gas prices is actually shorter than it looks on the surface. If stack efficiency drops, you need to burn more gas to generate the same unit of electricity. The contracts Bloom sells protect a performance baseline. If efficiency doesn’t meet the standard, that money either has to be covered by Bloom itself under its commitment—or shows up as an extra slice in the customer’s gas bill. When gas prices truly rise, Bloom’s costs stay flat, but customers will start watching degradation rates and doing the math. The detour may be far, but it’s real. Longs and shorts are talking about the same story, just two halves. The bulls estimate how big demand is; the bears estimate what physical costs it will take to deliver this batch of demand. Sooner or later, those two books will meet on the same income statement. The more equipment gets sold and the more stacks run in the field, the harder it is to explain warranty accruals with only one-time factors. The warranty line tells you earlier than any GW figure whether gross margin can hold up at scale. Even when judgment runs out of steam. If Bloom shifts its business focus from selling equipment back toward holding power plants and selling electricity itself, then the fuel-cost channel would reopen, and many of the earlier points would no longer hold. The good news is that both scenarios are already laid out in its own quarterly reports—you don’t have to wait for someone else to interpret them. $BEB Today the stock is $216.87, up 2.71% over the last 24 hours. The market itself isn’t bringing anything truly new. When the next quarterly report comes out, you can look at two things: whether the line item for power revenue has started to get bigger, and whether warranty accruals are still outpacing revenue growth. The GW numbers will keep looking good—that segment has been talked about far too many times already. #AI infrastructure
The companies that can’t get their AI data centers powered on the grid, and the queue is too long, some businesses simply move generators into their parks and generate their own power. That’s what Bloom Energy’s business is: solid oxide fuel cells placed on customers’ own land, connect to a natural gas pipeline, and they produce electricity. Construction timelines are measured in weeks. The most common criticism it faces these days is also the most familiar: if it’s burning natural gas, and the war in the Middle East flares up and oil prices surge, won’t its gross margin get wiped out by fuel costs? This question is aimed at the wrong target.

Fuel costs have never been on Bloom’s books. In the long-term power supply agreements it signs with customers, Bloom locks in the equipment, maintenance, and the electricity price. The natural gas is broken out separately—customers buy it themselves. The risk disclosure in its annual report says it plainly: rising natural gas prices could make its batteries less attractive to potential customers, reducing demand. The risk sits on the demand side, not the cost side.

The revenue structure makes the point even more firmly. In the second quarter, total revenue was $1.065 billion. Out of that, the money Bloom earns from owning power plants and selling power by burning gas was just $9.95 million—less than one percent. $BEB more like a generator manufacturer, with the power-operations segment so small it’s essentially negligible. The manufacturer’s gross margin comes from equipment pricing and production-line efficiency. In Q2, the gross margin of 33.4% was generated this way—gas prices can’t touch it.

Even stepping back, if you’re really worried about demand on that side, it’s not like the timing is on your side either. What’s been moving up in the past couple of days is crude oil and European natural gas. Brent is back above $95. Behind that is a fresh round of tensions between Iran and the U.S. Bloom’s machines are plugged into U.S. pipelines and track the market around Henry Hub. Right now it’s a bit above $3 per million BTU—roughly the same as a year ago. Middle East tensions don’t transmit into U.S. gas prices. Blaming Bloom’s fuel cost for this is mixing up two different “gases.”

Besides, the people buying Bloom’s machines aren’t buying them because they think electricity will be cheaper. Getting connected to the grid for a data center means waiting in line for years. From signing to turning on power, Bloom counts weeks. They’re buying time. As long as this shortage remains, a slightly higher or lower gas price won’t change customers’ choices—like Oracle’s. If gas prices truly could suppress demand, the prerequisite would be that the grid side first shortens the queue—and that’s not visible right now.

What’s on the order side is much more concrete. In early 2024, Oracle increased the size of on-site power it buys from Bloom from 1.2 GW to 2.8 GW. The financing framework Brookfield set up to support AI infrastructure has also been scaled up by several multiples. In the second quarter, the company recorded its first-ever quarterly revenue above $1 billion. Full-year guidance has been raised to nearly double last year. In the founders’ call, they said all major U.S. cloud providers have verified and approved its power supply solution. These things actually happened—not wishful thinking.

So where’s the problem with this stock? Start with where the price has gone: a forward P/E of 61x, and the share price has jumped several-fold in the first half. Jefferies cut its rating last month to underperform the broader market, citing that valuation is detached from fundamentals and visibility beyond 2026 is insufficient, plus evidence that investors are already getting overheated. Bank of America is also in the underperform bucket. Morgan Stanley and UBS are on the other side, believing the data-center power gap is big enough and that it’s the main beneficiary. Both sides are arguing about whether the good news has already been priced in at this level, whether the business is actually doing well, no one disputes.

There’s another issue that’s closer to gross margin and comes up less often. The warranty accrual balance rose from $20 million at the end of last year to $77.8 million by the end of June. The company’s explanation was fleet degradation. That’s exactly what the short seller Crossroads Capital focused on. If the electrochemical stacks on-site can’t last as long as the company claims, then each additional 1 GW order is also a batch of replacement costs arriving earlier. And the stacks just happen to contain scandium. In July, Hunterbrook’s report questioned whether its scandium supply can get around China, and the stock fell by 30% that month. The company then filed an 8-K and denied it point by point, saying scandium supply is sufficient to cover existing demand and backlog orders and has no dependency on China.

The distance between degradation and gas prices is actually shorter than it looks on the surface. If stack efficiency drops, you need to burn more gas to generate the same unit of electricity. The contracts Bloom sells protect a performance baseline. If efficiency doesn’t meet the standard, that money either has to be covered by Bloom itself under its commitment—or shows up as an extra slice in the customer’s gas bill. When gas prices truly rise, Bloom’s costs stay flat, but customers will start watching degradation rates and doing the math. The detour may be far, but it’s real.

Longs and shorts are talking about the same story, just two halves. The bulls estimate how big demand is; the bears estimate what physical costs it will take to deliver this batch of demand. Sooner or later, those two books will meet on the same income statement. The more equipment gets sold and the more stacks run in the field, the harder it is to explain warranty accruals with only one-time factors. The warranty line tells you earlier than any GW figure whether gross margin can hold up at scale.

Even when judgment runs out of steam. If Bloom shifts its business focus from selling equipment back toward holding power plants and selling electricity itself, then the fuel-cost channel would reopen, and many of the earlier points would no longer hold. The good news is that both scenarios are already laid out in its own quarterly reports—you don’t have to wait for someone else to interpret them.

$BEB Today the stock is $216.87, up 2.71% over the last 24 hours. The market itself isn’t bringing anything truly new. When the next quarterly report comes out, you can look at two things: whether the line item for power revenue has started to get bigger, and whether warranty accruals are still outpacing revenue growth. The GW numbers will keep looking good—that segment has been talked about far too many times already. #AI infrastructure
Goldman Sachs, Citigroup, Bank of America, UBS, Deutsche Bank, and Mitsubishi UFJ—this group of names gathered into the same announcement, saying they plan to co-found a company and issue a dollar stablecoin. In the past couple of days, most Chinese-language posts have stalled at translating the list of names and adding a line about traditional finance making a comeback. The roster is indeed impressive, but it doesn’t answer the more important question: once this money actually comes in, which side does this stablecoin business end up being passive on? Let’s get the facts straight. A total of 21 institutions signed the letter of intent. In North America, there are also Wells Fargo, Toronto-Dominion (TD), Scotiabank, PNC, and First Capital, plus two asset managers, Fidelity and WisdomTree. Europe includes Santander, BBVA, Crédit Agricole, Lloyd’s, Rabobank, and Commerzbank. Africa is Standard Bank, and the Middle East is Sirius. The company hasn’t been named and hasn’t been formally established yet. The announcement says it’s intended to be set up, and that delivery is subject to conditions. The entity plans to be built in the second half of this year, with the token targeted to launch in the first half of next year—starting with the dollar, and then expanding to the euro and other G7 currencies. Nothing has happened yet; they’ve simply written down when it will happen. The issuer’s revenue comes only from the reserves side: collecting users’ dollars and buying short-term treasuries to earn interest. The hard part has always been the distribution side—how to get users to let their money sit in your coin instead of someone else’s. The GENIUS Act rewrites the relationship between the two ends: the issuer is not allowed to pay you, in any form, any interest or yield merely because you hold that stablecoin; cash, tokens, and other consideration are all included. Once this lands, the path of grabbing customers by offering higher yield is effectively sealed. If users hold anyone’s coin, the yield is zero. The only thing left to compare is who occupies the position where users keep their deposits. Circle’s earnings report describes it more directly than any analysis. In Q2, its total revenue plus reserve income totaled $701 million, with reserve interest alone making up $668 million—so it claims the company has only one item of income, which isn’t an overstatement. In the same quarter, distribution and trading costs were $412 million, with the bulk paid to Coinbase. For every dollar Circle earns from reserve interest, more than half has to go to the party that helps it secure user custody. Since the law doesn’t let it pay users, it can only route the money through channels. By the end of June, that group already moved with this logic. Stripe, Visa, Mastercard, Coinbase, BlackRock, and more than 140 other companies came together to form Open USD. The mechanism explicitly states that the vast majority of reserve earnings are returned to growth partners that help drive the platform’s growth, while it keeps only a small management fee. The payment Circle makes to Coinbase was directly turned into product design. At this point, the banks’ targeted position becomes clear. They don’t need to win anyone on yield. They already sit in places like corporate accounts, cross-border settlement, and correspondent bank clearing. Customers’ dollars were already in their hands. #稳定币 is more like giving existing channels another layer of settlement rails—it isn’t about acquiring customers from scratch. The rate side, on the other hand, is actually a tailwind. The federal funds rate is still above three percent, and in September’s meeting the market is even pricing in rate hikes. Every dollar sitting in reserves now earns more than at this time last year. The issuer’s trouble has never been the level of interest rates; it’s always been whether the money will stay with it. USDT’s current circulating supply is roughly $183.3 billion, and over the past six months it’s been basically flat. $USDC is roughly $73.8 billion—back in March this year it was at higher levels, and then it shrank steadily, bottoming out in early August, only recently coming back a bit. In early August, Morgan Stanley downgraded Circle from Neutral to Underweight, cutting the target price to $38. The reason was how deeply USDC contraction exposes Circle’s reliance on reserve income. My view is that the bank group’s move basically doesn’t overlap with USDT. USDT is positioned where emerging markets use it—using cash and doing over-the-counter settlement—supporting most of the exchange’s quotes. A bank coin, compliant-first and aimed at institutional wholesale settlement, cannot squeeze into these places in 2027. What’s being targeted is USDC. It competes with this bank coin for the same customer: institutional dollars within the U.S. regulatory framework. That customer cares about compliance and also about who holds the account—both are the bank’s home turf. The most fragile part of this scenario is timing. The body only gets established in the second half of this year. The token has to wait until the first half of next year. Even the OCC implementation details are delayed until November for finalization, and after that there will be a rollout window. For a joint venture company formed by 21 shareholders, how slowly decisions get made is something anyone who has run cross-border projects knows well. If one shareholder drops out midstream or they revise the wording, the schedule gets pushed back—and in the meantime Circle can swap several rounds of channel partners. It’s also possible I’ve got the direction backwards. If, at the end of the day, this coin is only used for wholesale settlement among banks and never truly issued to end users, then it wouldn’t overlap with USDC’s customers, and everything above would not hold. The announcement also mentions two use cases—wholesale transfers for institutions and retail payments. Which level they actually reach will only be known once the product comes out. There’s one more variable on the rules side, and it favors banks. Banks are currently lobbying regulators to expand the interest-payment ban from issuers to affiliates and exchanges, closing the loophole that effectively routes interest back to users via channels. If this gets written into the final rules, the hardest hit would be the USDC incentive scheme Coinbase runs. But the bank group doesn’t rely on returning interest to acquire customers in the first place. Over the next few months, this likely won’t leave much of a footprint in market pricing. Structural changes at the beginning are like this—if you really want to track it, watch USDC’s circulating supply. Circle’s own transparency page updates weekly; whether supply is shrinking or growing is more honest than any interpretation. As for the joint venture, you can see whether it truly gets registered by year-end, whether it has a name, and whether any shareholders exit along the way. The day the name is announced is when this goes from being a press release into a real company.
Goldman Sachs, Citigroup, Bank of America, UBS, Deutsche Bank, and Mitsubishi UFJ—this group of names gathered into the same announcement, saying they plan to co-found a company and issue a dollar stablecoin. In the past couple of days, most Chinese-language posts have stalled at translating the list of names and adding a line about traditional finance making a comeback. The roster is indeed impressive, but it doesn’t answer the more important question: once this money actually comes in, which side does this stablecoin business end up being passive on?

Let’s get the facts straight. A total of 21 institutions signed the letter of intent. In North America, there are also Wells Fargo, Toronto-Dominion (TD), Scotiabank, PNC, and First Capital, plus two asset managers, Fidelity and WisdomTree. Europe includes Santander, BBVA, Crédit Agricole, Lloyd’s, Rabobank, and Commerzbank. Africa is Standard Bank, and the Middle East is Sirius.

The company hasn’t been named and hasn’t been formally established yet. The announcement says it’s intended to be set up, and that delivery is subject to conditions. The entity plans to be built in the second half of this year, with the token targeted to launch in the first half of next year—starting with the dollar, and then expanding to the euro and other G7 currencies. Nothing has happened yet; they’ve simply written down when it will happen.

The issuer’s revenue comes only from the reserves side: collecting users’ dollars and buying short-term treasuries to earn interest. The hard part has always been the distribution side—how to get users to let their money sit in your coin instead of someone else’s. The GENIUS Act rewrites the relationship between the two ends: the issuer is not allowed to pay you, in any form, any interest or yield merely because you hold that stablecoin; cash, tokens, and other consideration are all included. Once this lands, the path of grabbing customers by offering higher yield is effectively sealed. If users hold anyone’s coin, the yield is zero. The only thing left to compare is who occupies the position where users keep their deposits.

Circle’s earnings report describes it more directly than any analysis. In Q2, its total revenue plus reserve income totaled $701 million, with reserve interest alone making up $668 million—so it claims the company has only one item of income, which isn’t an overstatement. In the same quarter, distribution and trading costs were $412 million, with the bulk paid to Coinbase. For every dollar Circle earns from reserve interest, more than half has to go to the party that helps it secure user custody. Since the law doesn’t let it pay users, it can only route the money through channels.

By the end of June, that group already moved with this logic. Stripe, Visa, Mastercard, Coinbase, BlackRock, and more than 140 other companies came together to form Open USD. The mechanism explicitly states that the vast majority of reserve earnings are returned to growth partners that help drive the platform’s growth, while it keeps only a small management fee. The payment Circle makes to Coinbase was directly turned into product design.

At this point, the banks’ targeted position becomes clear. They don’t need to win anyone on yield. They already sit in places like corporate accounts, cross-border settlement, and correspondent bank clearing. Customers’ dollars were already in their hands. #稳定币 is more like giving existing channels another layer of settlement rails—it isn’t about acquiring customers from scratch.

The rate side, on the other hand, is actually a tailwind. The federal funds rate is still above three percent, and in September’s meeting the market is even pricing in rate hikes. Every dollar sitting in reserves now earns more than at this time last year. The issuer’s trouble has never been the level of interest rates; it’s always been whether the money will stay with it.

USDT’s current circulating supply is roughly $183.3 billion, and over the past six months it’s been basically flat. $USDC is roughly $73.8 billion—back in March this year it was at higher levels, and then it shrank steadily, bottoming out in early August, only recently coming back a bit. In early August, Morgan Stanley downgraded Circle from Neutral to Underweight, cutting the target price to $38. The reason was how deeply USDC contraction exposes Circle’s reliance on reserve income.

My view is that the bank group’s move basically doesn’t overlap with USDT. USDT is positioned where emerging markets use it—using cash and doing over-the-counter settlement—supporting most of the exchange’s quotes. A bank coin, compliant-first and aimed at institutional wholesale settlement, cannot squeeze into these places in 2027. What’s being targeted is USDC. It competes with this bank coin for the same customer: institutional dollars within the U.S. regulatory framework. That customer cares about compliance and also about who holds the account—both are the bank’s home turf.

The most fragile part of this scenario is timing. The body only gets established in the second half of this year. The token has to wait until the first half of next year. Even the OCC implementation details are delayed until November for finalization, and after that there will be a rollout window. For a joint venture company formed by 21 shareholders, how slowly decisions get made is something anyone who has run cross-border projects knows well. If one shareholder drops out midstream or they revise the wording, the schedule gets pushed back—and in the meantime Circle can swap several rounds of channel partners.

It’s also possible I’ve got the direction backwards. If, at the end of the day, this coin is only used for wholesale settlement among banks and never truly issued to end users, then it wouldn’t overlap with USDC’s customers, and everything above would not hold. The announcement also mentions two use cases—wholesale transfers for institutions and retail payments. Which level they actually reach will only be known once the product comes out.

There’s one more variable on the rules side, and it favors banks. Banks are currently lobbying regulators to expand the interest-payment ban from issuers to affiliates and exchanges, closing the loophole that effectively routes interest back to users via channels. If this gets written into the final rules, the hardest hit would be the USDC incentive scheme Coinbase runs. But the bank group doesn’t rely on returning interest to acquire customers in the first place.

Over the next few months, this likely won’t leave much of a footprint in market pricing. Structural changes at the beginning are like this—if you really want to track it, watch USDC’s circulating supply. Circle’s own transparency page updates weekly; whether supply is shrinking or growing is more honest than any interpretation. As for the joint venture, you can see whether it truly gets registered by year-end, whether it has a name, and whether any shareholders exit along the way. The day the name is announced is when this goes from being a press release into a real company.
On the day Cook handed over, the market didn’t give Apple any special courtesies. Global bond yields surged, oil prices climbed, and the Nasdaq was all green. Against that backdrop, Apple itself carved out an upward line, turning into one of the few large-cap tech names that finished the day in the red. What’s even more thought-provoking than the upside is what kind of company the board chose to hand to its next chairman at this point. First, the person. It began with Timbas in product design, and he rose all the way to senior vice president of hardware engineering. He’s had a hand in every major product line—iPad, AirPods, and Apple Watch. After spending more than twenty years at Apple, he’s a hardware engineer to the core. Cook moved over to become executive chairman. The outside world’s first reaction was basically unanimous. The biggest question marks around Apple right now are AI and software. Siri was rebuilt, delayed for more than two years and still not delivered, yet the board chose a hardware person as the next leader. If they wanted to make up the software shortfall, they brought in the person most skilled at tightening screws. If you go through Apple’s own books, though, the board’s choice is actually quite coherent. In the last quarter, Apple’s revenue was up 16% year over year, setting a record for the June quarter, and iPhone revenue rose 22%. The idea that products can’t sell isn’t something Apple has to worry about—at least for now. The pressure is in gross margin. After excluding tariff refund adjustments, Apple’s gross margin was 49.3% in the March quarter, fell to 48.1% in the June quarter, and guidance for the September quarter came in at 47% to 48%. At the late-July earnings call, CFO Parekh laid out the explanation plainly: changes in memory costs can account for more than 100% of the quarter-over-quarter decline in gross margin. Other cost items added together are, in a way, helping—the entire drop is driven by memory, and it even dragged a bit further. In that same call, Cook described memory price hikes as a once-in-a-century flood. As a result, Apple reluctantly raised the prices of the iPad and Mac. He added one more, more important point: looking beyond September, memory market pricing would continue to rise, and the impact on the business could be even bigger. The reason for shortages tells the story even better. Cook said it was a demand-forecasting issue. iPhone and Mac are selling far better than the company’s own expectations. Apple could get the supply—what it didn’t do was order enough at the start. Meanwhile, memory manufacturers are prioritizing AI data centers, where profit margins are higher. After taking over, after the swap, Apple will be fighting a battle for materials and capacity over the next two years. He has to bring negotiations with Samsung, SK hynix, and Micron to squeeze down prices and secure allocations. Internally, he also needs to cut redundant single-device memory usage during the design stage and push Apple’s in-house chips forward to offset the external price increases. All of these are hardware-engineering tasks. It’s far more fitting to let someone who has spent more than twenty years doing hardware at Apple manage this than to put a model expert in charge. As for AI, Apple has already answered with actions. The rebuilt Siri’s underlying layer uses Google’s Gemini, costing roughly $1 billion per year. In that model battle, Apple doesn’t plan to win purely by doing it all itself—by buying this layer, it keeps its strength focused on devices, chips, and the privacy architecture. Tenas’s appointment aligns with this strategy. Wall Street has meaningful disagreement with this logic. Wedbush’s Dan Ives raised his 12-month target price to $400 before the new CEO took office—on the optimistic end among mainstream institutions. His bet is on the iPhone 18 cycle, plus the re-acceleration in services revenue once Siri is rolled out. Jefferies’s Edison Lee went in the opposite direction: in August he cut Apple from “hold” to “underperform,” and cut the target price to $263.66. His basis is supply-chain research: problems hit the yield rate for a fully glass iPhone slated for 2027, and both memory costs and the slower pace of AI deployment are lagging as well. My ranking differs somewhat from both sides. If you trade this leadership change as an inflection point in the AI narrative, the order flips. Apple’s toughest constraint right now is cost. The layer of model capability is already paid for. Whether it’s done well or not will be answered by the September 9 keynote, but whatever it reflects in the financial statements won’t show up until next year. Memory is the kind of item that’s actively eating into gross margin right now—and, by Cook’s own words, it’s still worsening. Apple also did another underappreciated thing. At the spring earnings call, Parekh announced that the company was abandoning its long-standing goal of net cash neutrality and switching to independently assessing cash and debt. That move loosens the leash on the balance sheet—going forward, it means more flexibility to carry out large AI acquisitions or ramp up R&D spending, with one less layer of accounting constraint. Uncapping the ammunition at the moment the torch is passed to the new CEO doesn’t feel coincidental. The counterargument holds up as well. On September 1, Apple strengthened on its own even as the broader market fell. That was due to the interest-rate logic—there was essentially no fundamental change that day. When the yield on 10-year U.S. Treasuries pushes higher, capital tends to seek companies that don’t need to expand by taking on new debt. Apple doesn’t have a capital expenditure cycle like that, and its free cash flow is thick—so in this environment it’s naturally a safe haven. This logic can temporarily outweigh the gross margin issue, but it doesn’t solve gross margin. Valuation is also indeed not cheap. Based on the data cited by 24/7 Wall St. on September 1, the Street consensus target price was still below the then-current share price. In other words, the good news had largely already been priced in. Analyst ratings are nearly unanimous on the buy side—this kind of consensus itself signals that expectations aren’t low. The sentiment around this #美股 area is closing the distance with the fundamentals. What could overturn this view? If after September 9, Apple’s December-quarter gross margin guidance returns to above 49%, it would suggest I overestimated the memory constraint. If after the new Siri is delivered, services revenue can truly re-accelerate, then AI would be the main storyline for Apple next—and I would need to overturn the ranking I’m making today. $AAPLB is now quoting at $326.71, already above the leadership-swap headline. Over the next two months, rather than fixating on what the new CEO says, you may want to pay more attention to the tone Apple sets for the new Siri at the September 9 keynote, and where the December-quarter gross margin guidance lands in the late-October earnings report. That later number is more truthful than the keynote.
On the day Cook handed over, the market didn’t give Apple any special courtesies. Global bond yields surged, oil prices climbed, and the Nasdaq was all green. Against that backdrop, Apple itself carved out an upward line, turning into one of the few large-cap tech names that finished the day in the red.

What’s even more thought-provoking than the upside is what kind of company the board chose to hand to its next chairman at this point.

First, the person. It began with Timbas in product design, and he rose all the way to senior vice president of hardware engineering. He’s had a hand in every major product line—iPad, AirPods, and Apple Watch. After spending more than twenty years at Apple, he’s a hardware engineer to the core. Cook moved over to become executive chairman.

The outside world’s first reaction was basically unanimous. The biggest question marks around Apple right now are AI and software. Siri was rebuilt, delayed for more than two years and still not delivered, yet the board chose a hardware person as the next leader. If they wanted to make up the software shortfall, they brought in the person most skilled at tightening screws.

If you go through Apple’s own books, though, the board’s choice is actually quite coherent.

In the last quarter, Apple’s revenue was up 16% year over year, setting a record for the June quarter, and iPhone revenue rose 22%. The idea that products can’t sell isn’t something Apple has to worry about—at least for now. The pressure is in gross margin. After excluding tariff refund adjustments, Apple’s gross margin was 49.3% in the March quarter, fell to 48.1% in the June quarter, and guidance for the September quarter came in at 47% to 48%.

At the late-July earnings call, CFO Parekh laid out the explanation plainly: changes in memory costs can account for more than 100% of the quarter-over-quarter decline in gross margin. Other cost items added together are, in a way, helping—the entire drop is driven by memory, and it even dragged a bit further.

In that same call, Cook described memory price hikes as a once-in-a-century flood. As a result, Apple reluctantly raised the prices of the iPad and Mac. He added one more, more important point: looking beyond September, memory market pricing would continue to rise, and the impact on the business could be even bigger.

The reason for shortages tells the story even better. Cook said it was a demand-forecasting issue. iPhone and Mac are selling far better than the company’s own expectations. Apple could get the supply—what it didn’t do was order enough at the start. Meanwhile, memory manufacturers are prioritizing AI data centers, where profit margins are higher.

After taking over, after the swap, Apple will be fighting a battle for materials and capacity over the next two years. He has to bring negotiations with Samsung, SK hynix, and Micron to squeeze down prices and secure allocations. Internally, he also needs to cut redundant single-device memory usage during the design stage and push Apple’s in-house chips forward to offset the external price increases. All of these are hardware-engineering tasks. It’s far more fitting to let someone who has spent more than twenty years doing hardware at Apple manage this than to put a model expert in charge.

As for AI, Apple has already answered with actions. The rebuilt Siri’s underlying layer uses Google’s Gemini, costing roughly $1 billion per year. In that model battle, Apple doesn’t plan to win purely by doing it all itself—by buying this layer, it keeps its strength focused on devices, chips, and the privacy architecture. Tenas’s appointment aligns with this strategy.

Wall Street has meaningful disagreement with this logic. Wedbush’s Dan Ives raised his 12-month target price to $400 before the new CEO took office—on the optimistic end among mainstream institutions. His bet is on the iPhone 18 cycle, plus the re-acceleration in services revenue once Siri is rolled out. Jefferies’s Edison Lee went in the opposite direction: in August he cut Apple from “hold” to “underperform,” and cut the target price to $263.66. His basis is supply-chain research: problems hit the yield rate for a fully glass iPhone slated for 2027, and both memory costs and the slower pace of AI deployment are lagging as well.

My ranking differs somewhat from both sides.

If you trade this leadership change as an inflection point in the AI narrative, the order flips. Apple’s toughest constraint right now is cost. The layer of model capability is already paid for. Whether it’s done well or not will be answered by the September 9 keynote, but whatever it reflects in the financial statements won’t show up until next year. Memory is the kind of item that’s actively eating into gross margin right now—and, by Cook’s own words, it’s still worsening.

Apple also did another underappreciated thing. At the spring earnings call, Parekh announced that the company was abandoning its long-standing goal of net cash neutrality and switching to independently assessing cash and debt. That move loosens the leash on the balance sheet—going forward, it means more flexibility to carry out large AI acquisitions or ramp up R&D spending, with one less layer of accounting constraint. Uncapping the ammunition at the moment the torch is passed to the new CEO doesn’t feel coincidental.

The counterargument holds up as well. On September 1, Apple strengthened on its own even as the broader market fell. That was due to the interest-rate logic—there was essentially no fundamental change that day. When the yield on 10-year U.S. Treasuries pushes higher, capital tends to seek companies that don’t need to expand by taking on new debt. Apple doesn’t have a capital expenditure cycle like that, and its free cash flow is thick—so in this environment it’s naturally a safe haven. This logic can temporarily outweigh the gross margin issue, but it doesn’t solve gross margin.

Valuation is also indeed not cheap. Based on the data cited by 24/7 Wall St. on September 1, the Street consensus target price was still below the then-current share price. In other words, the good news had largely already been priced in. Analyst ratings are nearly unanimous on the buy side—this kind of consensus itself signals that expectations aren’t low. The sentiment around this #美股 area is closing the distance with the fundamentals.

What could overturn this view? If after September 9, Apple’s December-quarter gross margin guidance returns to above 49%, it would suggest I overestimated the memory constraint. If after the new Siri is delivered, services revenue can truly re-accelerate, then AI would be the main storyline for Apple next—and I would need to overturn the ranking I’m making today.

$AAPLB is now quoting at $326.71, already above the leadership-swap headline.

Over the next two months, rather than fixating on what the new CEO says, you may want to pay more attention to the tone Apple sets for the new Siri at the September 9 keynote, and where the December-quarter gross margin guidance lands in the late-October earnings report. That later number is more truthful than the keynote.
After SGP-0002 passed, I went to a Solana mainnet RPC node to check the current inflation parameters. The “decay rate” field still returned the same value as before. The winning side has already celebrated on Twitter, and not a single on-chain rule has been changed. The vote approved was an authorization—nothing in the protocol itself had moved yet. This interim period determines when the issuance of $SOL will truly start decreasing. Since genesis, SOL’s issuance follows a downward curve: each year it decays by 15% from the previous year, until it hits a floor of 1.5%. SGP-0002 doubles the decay speed to 30%, leaves the floor unchanged, and cuts the time to reach the endpoint in half. Projecting from the mainnet’s current inflation rate, the old rule would take six more years to reach the floor, while the new rule reaches it in three. For the portion that is reduced, the model in the proposal estimates about 18.90 million fewer SOL issued over the next six years. That figure comes from two Helius engineers; since nothing has been delivered on-chain yet, the quoted number needs to include that caveat. The vote’s drama is bigger than the proposal itself. The “yes” side pushed through the supermajority threshold by locking in more than two-thirds, with only a 0.334 percentage-point margin. More than an hour before the close, the “yes” votes were still far behind. The batch of delegated votes that Kraken had on hand first flipped from support to opposition, pushing the vote counts below the line; at the last moment, it moved the vast majority back into the “yes” column. Helius CEO Mert Mumtaz said that in the final hours he had been calling nonstop to pull votes, and the votes came in during the last few seconds. Setting a two-thirds threshold on a network where stake is concentrated effectively hands the outcome to real-time judgment by seven or eight institutions. This time it tilted toward a direction of production reduction—next time, it may not. Figment and Everstake, two major staking service providers, voted against. Everstake has publicly stated the reasoning: the pace of changes is too fast, small validators will be squeezed out disproportionately, and both staking participation and delegators will face pressure. That argument makes sense from the validator’s position—when returns are compressed, the first to be pushed out are indeed the small, cost-inflexible nodes. Putting the conflict of interest on full display was Solana Company. This listed company publicly announced its opposition to SGP-0002 on August 21, and in its second-quarter revenue, 99.4% came from staking rewards on its own holdings. It also holds a large amount of delegated stake for vote-by-proxy; its stance on the production-reduction vote needs no explanation. Governance rules allow this. It’s not exactly “cheating,” but people who delegate their votes have the right to know what ledger backs that vote. During the voting period, Mert’s claim was that certain so-called “stakeholders” make money for themselves by diluting token holders through additional issuance—his model is said not to hold up. The proposal document even describes the algorithm used by his camp. On the whole network, 41% of validators charge a 0% commission on the issuance portion; reducing issuance won’t hit this group of nodes. The remaining nodes have their decay rate adjusted—since the current-period interest rate doesn’t change, revenue won’t collapse overnight. What I don’t buy is reading this vote as a direct deflationary positive for $SOL . Spreading 18.90 million coins across six years, placing them into SOL’s daily trading float is just a drop in the bucket. These three days of market action didn’t give it face either: SOL kept giving back gains, sliding to 101.74, down 3.17% over 24 hours—tracking the broader-market rhythm. The value of this vote is elsewhere. In the same batch of proposals, a constitution-related proposal passed with a high vote count, while SGP-0003—which changed transaction fees into a resource-pricing model and significantly increased the amount burned—only got 53.9% and failed. Taken together, the community’s message is quite concrete: it’s willing to mint fewer coins, but unwilling to turn SOL from a cheap execution chain into an asset that captures value by burning fees. Reducing issuance is essentially re-cutting the cake between token holders and validators; changing fees would shift costs onto application operators, and that faces much stronger resistance. This signal is more useful than the 18.90 million coins for judging Solana’s value-capture path. Back to the parameter at the start that hasn’t changed yet. The protocol needs to use the technical proposal SIMD-0550 to make the change. In the warehouse’s status fields for this document, as of today it still says “Review.” The field that records the enable/disable switch value is still a placeholder waiting to be filled. On Anza’s side, in early August they already merged the implementation into the Agave mainline. Their approach is to add a feature switch, and to re-anchor the curve at the epoch boundary when it becomes effective. The problem is dated August 24. Two engineers from Jump and Firedancer opened an issue in the proposal repository. SIMD-0550 requires all clients to compute the results of exponentiation bit-for-bit consistently. But under IEEE 754, this operation is implementation-defined. Swapping the same code to a different CPU architecture, a different libc, or a different compiler version can lead to mismatched mantissas. The wording from the Firedancer engineer is that the feature switch should be blocked, and the suggestion is to revise the proposal so it uses no floating point at all. In a single-client era, this wouldn’t be a big deal. In the current multi-client parallel stage, it becomes a consensus safety problem. Issuance rewards would go into the bank hash; if two clients compute a difference of even one bit, the chain forks. Anza’s engineer later proposed a patch that removes floating point from the inflation and rent paths. So far, it has only received a basically approving response that said to wait for others to review; it hasn’t been merged. The governance layer approved it, but the spec layer is still waiting to change things. The client implementation is being questioned as not safe to launch. So activation can’t really be discussed yet. Until this path is completed, not a single coin of issuance will be reduced. #Solana The circumstances that could overturn this assessment are also easy to list. Once the patch is merged, a new version is released, and validators are activated—if the staking ratio and the number of validators haven’t fallen—then the opponents’ concerns would be overblown, and I’d scale down the weight I gave to their worries. Conversely, if the switch gets stuck for months, or after activation small nodes exit in batches, then this close call victory would turn into a headache. If you want to personally monitor this line, you can check Solana mainnet RPC’s getInflationGovernor interface. The taper field in there is still the old value for now. Only when it doubles will the production reduction truly begin.
After SGP-0002 passed, I went to a Solana mainnet RPC node to check the current inflation parameters. The “decay rate” field still returned the same value as before. The winning side has already celebrated on Twitter, and not a single on-chain rule has been changed.

The vote approved was an authorization—nothing in the protocol itself had moved yet. This interim period determines when the issuance of $SOL will truly start decreasing.

Since genesis, SOL’s issuance follows a downward curve: each year it decays by 15% from the previous year, until it hits a floor of 1.5%. SGP-0002 doubles the decay speed to 30%, leaves the floor unchanged, and cuts the time to reach the endpoint in half. Projecting from the mainnet’s current inflation rate, the old rule would take six more years to reach the floor, while the new rule reaches it in three. For the portion that is reduced, the model in the proposal estimates about 18.90 million fewer SOL issued over the next six years. That figure comes from two Helius engineers; since nothing has been delivered on-chain yet, the quoted number needs to include that caveat.

The vote’s drama is bigger than the proposal itself. The “yes” side pushed through the supermajority threshold by locking in more than two-thirds, with only a 0.334 percentage-point margin. More than an hour before the close, the “yes” votes were still far behind. The batch of delegated votes that Kraken had on hand first flipped from support to opposition, pushing the vote counts below the line; at the last moment, it moved the vast majority back into the “yes” column. Helius CEO Mert Mumtaz said that in the final hours he had been calling nonstop to pull votes, and the votes came in during the last few seconds.

Setting a two-thirds threshold on a network where stake is concentrated effectively hands the outcome to real-time judgment by seven or eight institutions. This time it tilted toward a direction of production reduction—next time, it may not.

Figment and Everstake, two major staking service providers, voted against. Everstake has publicly stated the reasoning: the pace of changes is too fast, small validators will be squeezed out disproportionately, and both staking participation and delegators will face pressure. That argument makes sense from the validator’s position—when returns are compressed, the first to be pushed out are indeed the small, cost-inflexible nodes.

Putting the conflict of interest on full display was Solana Company. This listed company publicly announced its opposition to SGP-0002 on August 21, and in its second-quarter revenue, 99.4% came from staking rewards on its own holdings. It also holds a large amount of delegated stake for vote-by-proxy; its stance on the production-reduction vote needs no explanation. Governance rules allow this. It’s not exactly “cheating,” but people who delegate their votes have the right to know what ledger backs that vote.

During the voting period, Mert’s claim was that certain so-called “stakeholders” make money for themselves by diluting token holders through additional issuance—his model is said not to hold up. The proposal document even describes the algorithm used by his camp. On the whole network, 41% of validators charge a 0% commission on the issuance portion; reducing issuance won’t hit this group of nodes. The remaining nodes have their decay rate adjusted—since the current-period interest rate doesn’t change, revenue won’t collapse overnight.

What I don’t buy is reading this vote as a direct deflationary positive for $SOL . Spreading 18.90 million coins across six years, placing them into SOL’s daily trading float is just a drop in the bucket. These three days of market action didn’t give it face either: SOL kept giving back gains, sliding to 101.74, down 3.17% over 24 hours—tracking the broader-market rhythm.

The value of this vote is elsewhere. In the same batch of proposals, a constitution-related proposal passed with a high vote count, while SGP-0003—which changed transaction fees into a resource-pricing model and significantly increased the amount burned—only got 53.9% and failed. Taken together, the community’s message is quite concrete: it’s willing to mint fewer coins, but unwilling to turn SOL from a cheap execution chain into an asset that captures value by burning fees. Reducing issuance is essentially re-cutting the cake between token holders and validators; changing fees would shift costs onto application operators, and that faces much stronger resistance. This signal is more useful than the 18.90 million coins for judging Solana’s value-capture path.

Back to the parameter at the start that hasn’t changed yet. The protocol needs to use the technical proposal SIMD-0550 to make the change. In the warehouse’s status fields for this document, as of today it still says “Review.” The field that records the enable/disable switch value is still a placeholder waiting to be filled.

On Anza’s side, in early August they already merged the implementation into the Agave mainline. Their approach is to add a feature switch, and to re-anchor the curve at the epoch boundary when it becomes effective.

The problem is dated August 24. Two engineers from Jump and Firedancer opened an issue in the proposal repository. SIMD-0550 requires all clients to compute the results of exponentiation bit-for-bit consistently. But under IEEE 754, this operation is implementation-defined. Swapping the same code to a different CPU architecture, a different libc, or a different compiler version can lead to mismatched mantissas. The wording from the Firedancer engineer is that the feature switch should be blocked, and the suggestion is to revise the proposal so it uses no floating point at all.

In a single-client era, this wouldn’t be a big deal. In the current multi-client parallel stage, it becomes a consensus safety problem. Issuance rewards would go into the bank hash; if two clients compute a difference of even one bit, the chain forks. Anza’s engineer later proposed a patch that removes floating point from the inflation and rent paths. So far, it has only received a basically approving response that said to wait for others to review; it hasn’t been merged.

The governance layer approved it, but the spec layer is still waiting to change things. The client implementation is being questioned as not safe to launch. So activation can’t really be discussed yet. Until this path is completed, not a single coin of issuance will be reduced. #Solana

The circumstances that could overturn this assessment are also easy to list. Once the patch is merged, a new version is released, and validators are activated—if the staking ratio and the number of validators haven’t fallen—then the opponents’ concerns would be overblown, and I’d scale down the weight I gave to their worries. Conversely, if the switch gets stuck for months, or after activation small nodes exit in batches, then this close call victory would turn into a headache.

If you want to personally monitor this line, you can check Solana mainnet RPC’s getInflationGovernor interface. The taper field in there is still the old value for now. Only when it doubles will the production reduction truly begin.
Since going public, almost all sell-side analysts covering SpaceX have been overwhelmingly bullish—yet the stock price is still hovering near its issue price. It’s not strange that there are disagreements for a new stock. What’s strange is the magnitude. With the same set of financial results in front of everyone, the “reasonable” prices derived by the most optimistic and the most pessimistic analysts can differ by several multiples. First, let’s clarify the unlock timeline—many people were scared by it. SpaceX listed on Nasdaq with an offering price of $135 in mid-June. Now, $SPCXB is trading at $140.59, having looped back to roughly where it started after more than two months. The first batch of insider shares became unblocked on August 6: 1.115 billion shares, more than the number issued in the IPO. Normally, that would be a heavy blow—yet the stock rose rather than fell that day. On August 20, the second batch took effect. There was a sell-off during the trading session, but the decline was fully bought back within a week. The market has already been treating unlocks like scheduled events. These shares were always meant to be released in multiple tranches. After the listing, they were laid out day by day; the two batches in September and the two in October haven’t finished running through yet. What cut the stock from the June peak all the way down to late July—breaking below the offering price—was the Q2 report released on August 4. In that quarter, revenue nearly doubled year over year. In the same quarter, the company spent $18.4 billion in capital expenditures, far more than the amount it pulled in. Of that $18.4 billion, $15.8 billion went into the AI segment. You don’t have to worry about this money for now. The net proceeds from the IPO, plus the investment-grade bond investment at the end of June, leave the company with plenty of cash and marketable securities—enough to burn through several more quarters like this. What’s not sustainable is what comes years later: the AI segment will need to generate cash flow by then, or else the company will have to return to the market for more funds. Profits only come from the connection business, with operating profit of $1.66 billion in Q2. The aerospace segment is still losing money on Starship development, and the AI segment’s operating loss is even larger. After adding back depreciation and amortization, adjusted EBITDA only barely turns positive. On the balance sheet, it’s effectively a satellite broadband business funding two cash-burning departments—one of which consumed the vast majority of this quarter’s capital expenditures. The company also announced it would bring Cursor in via acquisition, with the deal expected to be completed in Q3, and the AI segment’s weight will only increase. Even within the connection business, things are changing. Subscribers doubled to 12 million over a year, but the average monthly revenue per user has fallen to $66, a step down from a year ago. More new users are coming from markets with lower pricing. Starlink has expanded coverage, but pricing power hasn’t kept up. This portion is the foundation of the entire valuation, and its own growth is now thinning the load-bearing capacity. That’s where the disagreement is concentrated. Nicolas Owens at Morningstar assigns a fair value of $62, and after the Q2 report he reaffirmed the same number. His rationale is that the return on AI investment cannot be verified, and both Starship’s full reuse and the space data center are still on paper. According to Morningstar’s own wording, he is the only analyst on Wall Street who reaches an overestimation conclusion. Adam Jonas of Morgan Stanley maintained a $300 price target on August 26, saying the stock’s valuation is attractive. In his target, more than half comes from the AI business brought in through the xAI merger; the rest is allocated to launch services and Starlink. In the same week, the company just announced plans to build an unprecedentedly large launch facility in Louisiana. The gap between the two valuations is nearly fivefold, yet they’re arguing about the same thing. Owens doesn’t accept the pricing for the AI segment, while Jonas’s target price relies on the AI segment for more than half. Rockets and satellite broadband are not the issue—everything hinges on what that $15.8 billion in capital expenditures can buy back. The average sell-side target price sits at $219, more than half higher than the current quote. The missing gap in the middle is precisely the question that still has no answer. So this stock shouldn’t really be treated as a “space/aerospace stock” anymore. People buying it for rockets and Starlink are, in reality, making a bet on the return on AI compute investment—and with a fairly high weight. This recognition gap is far more dangerous than unlock selling pressure, and it’s discussed far less. There aren’t many things that can be validated going forward. Whether operating profit in the connection business can keep climbing determines whether this valuation foundation is solid; whether the cloud service contracts signed by the AI segment can turn contract amounts into ongoing revenue determines how long the premium can be sustained. Of the remaining unlock tranches in September and October, if any tranche creates a noticeably deeper hole than the first two, it’s more likely that someone is rebalancing their positions by timing it with the schedule—not that it has much to do with the unlock selling pressure itself. The easiest place for my view to be overturned is right inside Starlink. Once the growth rate of operating profit in the connection business drops off—or if average monthly revenue per user continues to decline—then no matter what story the AI segment tells, the foundation will loosen first. And when that day comes, $62 won’t be an extreme viewpoint anymore. After U.S. stocks open this week, you can keep an eye on whether the connection business has any new government/enterprise contracts coming through. For a company with a scale like #SpaceX , story changes in this market are never completed in a single day. Where the money flows will be plainly explained in the company’s quarterly reports, one quarter at a time.
Since going public, almost all sell-side analysts covering SpaceX have been overwhelmingly bullish—yet the stock price is still hovering near its issue price. It’s not strange that there are disagreements for a new stock. What’s strange is the magnitude. With the same set of financial results in front of everyone, the “reasonable” prices derived by the most optimistic and the most pessimistic analysts can differ by several multiples.

First, let’s clarify the unlock timeline—many people were scared by it. SpaceX listed on Nasdaq with an offering price of $135 in mid-June. Now, $SPCXB is trading at $140.59, having looped back to roughly where it started after more than two months. The first batch of insider shares became unblocked on August 6: 1.115 billion shares, more than the number issued in the IPO. Normally, that would be a heavy blow—yet the stock rose rather than fell that day. On August 20, the second batch took effect. There was a sell-off during the trading session, but the decline was fully bought back within a week.

The market has already been treating unlocks like scheduled events. These shares were always meant to be released in multiple tranches. After the listing, they were laid out day by day; the two batches in September and the two in October haven’t finished running through yet. What cut the stock from the June peak all the way down to late July—breaking below the offering price—was the Q2 report released on August 4.

In that quarter, revenue nearly doubled year over year. In the same quarter, the company spent $18.4 billion in capital expenditures, far more than the amount it pulled in. Of that $18.4 billion, $15.8 billion went into the AI segment.

You don’t have to worry about this money for now. The net proceeds from the IPO, plus the investment-grade bond investment at the end of June, leave the company with plenty of cash and marketable securities—enough to burn through several more quarters like this. What’s not sustainable is what comes years later: the AI segment will need to generate cash flow by then, or else the company will have to return to the market for more funds.

Profits only come from the connection business, with operating profit of $1.66 billion in Q2. The aerospace segment is still losing money on Starship development, and the AI segment’s operating loss is even larger. After adding back depreciation and amortization, adjusted EBITDA only barely turns positive. On the balance sheet, it’s effectively a satellite broadband business funding two cash-burning departments—one of which consumed the vast majority of this quarter’s capital expenditures. The company also announced it would bring Cursor in via acquisition, with the deal expected to be completed in Q3, and the AI segment’s weight will only increase.

Even within the connection business, things are changing. Subscribers doubled to 12 million over a year, but the average monthly revenue per user has fallen to $66, a step down from a year ago. More new users are coming from markets with lower pricing. Starlink has expanded coverage, but pricing power hasn’t kept up. This portion is the foundation of the entire valuation, and its own growth is now thinning the load-bearing capacity.

That’s where the disagreement is concentrated. Nicolas Owens at Morningstar assigns a fair value of $62, and after the Q2 report he reaffirmed the same number. His rationale is that the return on AI investment cannot be verified, and both Starship’s full reuse and the space data center are still on paper. According to Morningstar’s own wording, he is the only analyst on Wall Street who reaches an overestimation conclusion. Adam Jonas of Morgan Stanley maintained a $300 price target on August 26, saying the stock’s valuation is attractive. In his target, more than half comes from the AI business brought in through the xAI merger; the rest is allocated to launch services and Starlink. In the same week, the company just announced plans to build an unprecedentedly large launch facility in Louisiana.

The gap between the two valuations is nearly fivefold, yet they’re arguing about the same thing. Owens doesn’t accept the pricing for the AI segment, while Jonas’s target price relies on the AI segment for more than half. Rockets and satellite broadband are not the issue—everything hinges on what that $15.8 billion in capital expenditures can buy back. The average sell-side target price sits at $219, more than half higher than the current quote. The missing gap in the middle is precisely the question that still has no answer.

So this stock shouldn’t really be treated as a “space/aerospace stock” anymore. People buying it for rockets and Starlink are, in reality, making a bet on the return on AI compute investment—and with a fairly high weight. This recognition gap is far more dangerous than unlock selling pressure, and it’s discussed far less.

There aren’t many things that can be validated going forward. Whether operating profit in the connection business can keep climbing determines whether this valuation foundation is solid; whether the cloud service contracts signed by the AI segment can turn contract amounts into ongoing revenue determines how long the premium can be sustained. Of the remaining unlock tranches in September and October, if any tranche creates a noticeably deeper hole than the first two, it’s more likely that someone is rebalancing their positions by timing it with the schedule—not that it has much to do with the unlock selling pressure itself.

The easiest place for my view to be overturned is right inside Starlink. Once the growth rate of operating profit in the connection business drops off—or if average monthly revenue per user continues to decline—then no matter what story the AI segment tells, the foundation will loosen first. And when that day comes, $62 won’t be an extreme viewpoint anymore.

After U.S. stocks open this week, you can keep an eye on whether the connection business has any new government/enterprise contracts coming through. For a company with a scale like #SpaceX , story changes in this market are never completed in a single day. Where the money flows will be plainly explained in the company’s quarterly reports, one quarter at a time.
Coinbase’s official account posted a weekend image with only a few words in its promise: no selling the coins, no additional margin calls, and no taxable event. The day before, Brian Armstrong’s post was even more direct: get the house, and keep your exposure to Bitcoin. The product officially opened last week for qualifying U.S. homebuyers. I checked every one of these lines against the original wording; they all hold up. It’s just that they “stand” in a way that differs from what most rewrites in the Chinese-speaking market say. What gets most crushed here is the structure. There are two loans. The first follows Fannie/Freddie’s standard compliance-approved framing: the collateral is the house, and it has nothing to do with crypto assets. The second is a separate down-payment loan, used to cover the cash down payment that the buyer can’t come up with; the collateral is the Bitcoin pledged for it, and it also adds a second mortgage lien on the house. Hardly anyone mentions that second lien, but it determines the order of default: Better can go after the house first; the coins are merely a later-layer backstop. The interest rates and amortization term are the same for both, and each month they’re merged into a single repayment. By putting all Bitcoin volatility into the second loan—carried by Better—the first loan remains the kind of compliant asset that Fannie/Freddie can simply take and hold. Because of this design, the product doesn’t need to wait for any new regulatory guidance to be finalized before it can operate. This layer is especially easy to mix up. FHFA chair Pulte signed a directive at the end of June last year instructing the two housing agencies to treat crypto assets held on regulated U.S. exchanges as part of the reserves for mortgage qualification, without needing to convert them into U.S. dollars first. Even up to mid-year this year, that line still has no final guidance. Including Senators Warren and Sanders, several lawmakers sent letters questioning whether it would shake up the housing market. Whether Fannie/Freddie recognizes the coins, and whether Better uses the coins for a down-payment pledge loan, are two separate matters that don’t depend on each other. Writing that Fannie/Freddie started accepting Bitcoin directly is wrong. The “no selling the coins” line holds—because the price is embedded in the loan-to-value ratio. The down-payment loan requires the pledged Bitcoin to be no less than 250% of the loan amount. If you want to borrow $100,000 for the down payment, you must pledge $250,000 worth of Bitcoin. The coins are transferred into Better’s custody account via Coinbase Prime and locked until the loan is repaid or refinanced. At the current price of $78,075 for $BTC , a $100,000 down-payment loan would consume more than three whole Bitcoins. Those more-than-three Bitcoins may be unable to move for as long as the next thirty years, and they can’t be used elsewhere as collateral. It doesn’t generate interest, but the years they’re locked up have a cost—just not one that shows up in the marketing materials. The “no additional margin calls” line is even more counterintuitive. A drop in the coin price by itself doesn’t change the mortgage terms, and it won’t trigger a forced liquidation because the collateral value shrinks. The trigger for liquidation is switched to repayment delinquency: after being late for sixty days, Better would then be entitled to dispose of the pledged Bitcoin. In this way, the risk exposure shifts from price to cash flow. It doesn’t care how much your coins fall; it only cares whether you can make your monthly payment each month. The 250% is what you paid for that promise—an upfront over-collateralization replacing an entire dynamic margining/mark-to-market backstop mechanism. For borrowers, that’s a good thing, but the risk just changes shape. The worst path is when a major drop in coin price happens at the same time as your income dries up: two months of delinquency, Better sells your coins at the bottom, and that second lien on the house remains. People heavily concentrated in holding coins especially can’t avoid this combination; their income source often ties to the same industry. When things are good, both sides have breathing room; when trouble hits, they hit together. The “no additional margin calls” part is true. The missing half is that the liquidation switch has been moved onto your paycheck. The “no taxable event” line also fails under the same path. The pledge itself indeed doesn’t constitute a disposal. But at the moment of a passive closeout, it becomes a real sale; the capital gains tax you owe is not one cent less, and it happens when your cash is tight—precisely when you least want to sell. In Better’s disclosed numbers, one figure is even more telling than the 250%: among its pre-approved customers, 41% have both income and credit that pass the bar, and what blocks them isn’t affordability—it’s simply that they can’t produce the down-payment cash. Earn enough and you can borrow; the money is all in the coins. The intended loan size corresponding to the waitlist stage exceeds $260 million. These are the company’s own disclosed figures. They may work as marketing numbers, but the 41% points to a real gap. For a few institutions that do non-compliant loans, their attitudes are close to one another: they all think adding crypto assets to mortgage qualification is inevitable, and they all stress that their version is conservative. Rate’s Kate Amor directly calls their product a conservative non-compliant one. The objections concentrate on the two-agency (Fannie/Freddie) line—not on this product. A Federal Reserve Bank of New York study in 2024 mentioned that when crypto assets are under pressure in traditional markets, their volatility is comparable to traditional assets; once the crypto market starts breaking on its own, the volatility will be much more severe. Structurally, this product is conservative to the point that it doesn’t really look like a typical crypto product. The first source of repayment is the house; the second is your income. Bitcoin comes third—and you’re required to provide thickness of 2.5 times. The criticism that it brings crypto volatility into the housing market misses the mark: on the compliant mortgage side, it doesn’t touch the coins at all. What should be watched is the other side: it wraps a 30-year liability that needs cash-flow discipline into an option where coin holders supposedly don’t have to make trade-offs. This judgment breaks down in two situations. First, as the loan-to-value ratio is competitively squeezed as peers enter the market—say 250% drops to one hundred-something—the thickness provided by over-collateralization may no longer hold. Second, if these down-payment loans begin getting packaged and sold off rather than staying on Better’s own books, once the risk is transferred away, the incentive to maintain strict issuance standards also moves away. Both of these can be inferred from public product terms and securitization trends; you don’t need to wait for something to happen. This round around $BTC started on August 19 and, over ten days, climbed from just over $64,000 to $81,479 intraday on August 28; it has now come back to $78,075. At this level, a 250% collateral requirement looks comfortable; three weeks earlier, at that earlier price level, it looked like an entirely different story. The natural peak in signing such products falls when the collateral looks most plentiful—and that’s also when it’s most expensive. To judge whether the numbers add up, you can start with a crude calculation: value the portion of coins you must pledge assuming they can’t move for thirty years, then ask yourself: if in any year in between you need to use it, do you have other money on hand that can cover the need? The answer is far more important than how high Bitcoin might rise.
Coinbase’s official account posted a weekend image with only a few words in its promise: no selling the coins, no additional margin calls, and no taxable event. The day before, Brian Armstrong’s post was even more direct: get the house, and keep your exposure to Bitcoin. The product officially opened last week for qualifying U.S. homebuyers. I checked every one of these lines against the original wording; they all hold up. It’s just that they “stand” in a way that differs from what most rewrites in the Chinese-speaking market say.

What gets most crushed here is the structure. There are two loans. The first follows Fannie/Freddie’s standard compliance-approved framing: the collateral is the house, and it has nothing to do with crypto assets. The second is a separate down-payment loan, used to cover the cash down payment that the buyer can’t come up with; the collateral is the Bitcoin pledged for it, and it also adds a second mortgage lien on the house. Hardly anyone mentions that second lien, but it determines the order of default: Better can go after the house first; the coins are merely a later-layer backstop. The interest rates and amortization term are the same for both, and each month they’re merged into a single repayment.

By putting all Bitcoin volatility into the second loan—carried by Better—the first loan remains the kind of compliant asset that Fannie/Freddie can simply take and hold. Because of this design, the product doesn’t need to wait for any new regulatory guidance to be finalized before it can operate. This layer is especially easy to mix up. FHFA chair Pulte signed a directive at the end of June last year instructing the two housing agencies to treat crypto assets held on regulated U.S. exchanges as part of the reserves for mortgage qualification, without needing to convert them into U.S. dollars first. Even up to mid-year this year, that line still has no final guidance. Including Senators Warren and Sanders, several lawmakers sent letters questioning whether it would shake up the housing market. Whether Fannie/Freddie recognizes the coins, and whether Better uses the coins for a down-payment pledge loan, are two separate matters that don’t depend on each other. Writing that Fannie/Freddie started accepting Bitcoin directly is wrong.

The “no selling the coins” line holds—because the price is embedded in the loan-to-value ratio. The down-payment loan requires the pledged Bitcoin to be no less than 250% of the loan amount. If you want to borrow $100,000 for the down payment, you must pledge $250,000 worth of Bitcoin. The coins are transferred into Better’s custody account via Coinbase Prime and locked until the loan is repaid or refinanced. At the current price of $78,075 for $BTC , a $100,000 down-payment loan would consume more than three whole Bitcoins. Those more-than-three Bitcoins may be unable to move for as long as the next thirty years, and they can’t be used elsewhere as collateral. It doesn’t generate interest, but the years they’re locked up have a cost—just not one that shows up in the marketing materials.

The “no additional margin calls” line is even more counterintuitive. A drop in the coin price by itself doesn’t change the mortgage terms, and it won’t trigger a forced liquidation because the collateral value shrinks. The trigger for liquidation is switched to repayment delinquency: after being late for sixty days, Better would then be entitled to dispose of the pledged Bitcoin.

In this way, the risk exposure shifts from price to cash flow. It doesn’t care how much your coins fall; it only cares whether you can make your monthly payment each month. The 250% is what you paid for that promise—an upfront over-collateralization replacing an entire dynamic margining/mark-to-market backstop mechanism.

For borrowers, that’s a good thing, but the risk just changes shape. The worst path is when a major drop in coin price happens at the same time as your income dries up: two months of delinquency, Better sells your coins at the bottom, and that second lien on the house remains. People heavily concentrated in holding coins especially can’t avoid this combination; their income source often ties to the same industry. When things are good, both sides have breathing room; when trouble hits, they hit together. The “no additional margin calls” part is true. The missing half is that the liquidation switch has been moved onto your paycheck.

The “no taxable event” line also fails under the same path. The pledge itself indeed doesn’t constitute a disposal. But at the moment of a passive closeout, it becomes a real sale; the capital gains tax you owe is not one cent less, and it happens when your cash is tight—precisely when you least want to sell.

In Better’s disclosed numbers, one figure is even more telling than the 250%: among its pre-approved customers, 41% have both income and credit that pass the bar, and what blocks them isn’t affordability—it’s simply that they can’t produce the down-payment cash. Earn enough and you can borrow; the money is all in the coins. The intended loan size corresponding to the waitlist stage exceeds $260 million. These are the company’s own disclosed figures. They may work as marketing numbers, but the 41% points to a real gap.

For a few institutions that do non-compliant loans, their attitudes are close to one another: they all think adding crypto assets to mortgage qualification is inevitable, and they all stress that their version is conservative. Rate’s Kate Amor directly calls their product a conservative non-compliant one. The objections concentrate on the two-agency (Fannie/Freddie) line—not on this product. A Federal Reserve Bank of New York study in 2024 mentioned that when crypto assets are under pressure in traditional markets, their volatility is comparable to traditional assets; once the crypto market starts breaking on its own, the volatility will be much more severe.

Structurally, this product is conservative to the point that it doesn’t really look like a typical crypto product. The first source of repayment is the house; the second is your income. Bitcoin comes third—and you’re required to provide thickness of 2.5 times. The criticism that it brings crypto volatility into the housing market misses the mark: on the compliant mortgage side, it doesn’t touch the coins at all. What should be watched is the other side: it wraps a 30-year liability that needs cash-flow discipline into an option where coin holders supposedly don’t have to make trade-offs.

This judgment breaks down in two situations. First, as the loan-to-value ratio is competitively squeezed as peers enter the market—say 250% drops to one hundred-something—the thickness provided by over-collateralization may no longer hold. Second, if these down-payment loans begin getting packaged and sold off rather than staying on Better’s own books, once the risk is transferred away, the incentive to maintain strict issuance standards also moves away. Both of these can be inferred from public product terms and securitization trends; you don’t need to wait for something to happen.

This round around $BTC started on August 19 and, over ten days, climbed from just over $64,000 to $81,479 intraday on August 28; it has now come back to $78,075. At this level, a 250% collateral requirement looks comfortable; three weeks earlier, at that earlier price level, it looked like an entirely different story. The natural peak in signing such products falls when the collateral looks most plentiful—and that’s also when it’s most expensive.

To judge whether the numbers add up, you can start with a crude calculation: value the portion of coins you must pledge assuming they can’t move for thirty years, then ask yourself: if in any year in between you need to use it, do you have other money on hand that can cover the need? The answer is far more important than how high Bitcoin might rise.
Verified
Amazon’s net profit last quarter jumped sharply—so sharply it looks like AWS suddenly switched to a money-printing machine. But you can’t read this number that way. Most of it comes from a mark-to-market revaluation of Anthropic equity the company already holds, not from selling cloud services. Strip that out: in Q2, operating profit was $27.5 billion—that’s the money actually earned by the business itself. This matters because Amazon has signed another bill this week that will be gradually digested through operating profit. On August 26, AWS and Nvidia announced an additional 2 million GPUs, with delivery scheduled for 2027 to 2028. Add that to the 1 million GPUs earlier this year, and the committed total is raised to over 3 million. The models cover Blackwell Ultra, Rubin, and Rubin Ultra. After the U.S. stock market opened on Friday, the market’s reaction to this order was: buyers up, suppliers down. The reading at $AMZNB at 20:18 is $266.21, up 3.44% over 24 hours. That rally is concentrated in the few hours of U.S. trading on Friday. Since Saturday, the order book has barely moved, with only a few hundred thousand dollars in volume—so it can’t serve as a reliable “sentiment” read. In the same window, $NVDAB is -3.54%. Nvidia’s red candle has little to do with this order. Late on August 27, The Wall Street Journal reported that Nvidia paused some transactions in a financing program it launched in July. The program previously disclosed a commitment size of about $36 billion. The mechanism is: Nvidia first extends credit to small- and mid-sized AI cloud companies so they can afford the chips. Once those cloud companies rent out compute, the revenue portion above the agreed cost is shared back with Nvidia. If they fail to rent out capacity, the capacity is taken back by Nvidia. The report cites internal antitrust concerns and partners’ dissatisfaction with restrictions on customers. Externally, Nvidia still says the program is running. Some media have questioned the report—this is the point to record for now. Two developments landing in the same week split people buying the cards into two groups. Amazon’s 3 million GPUs are funded from the company’s own cash flow. The batch for smaller cloud firms depends on the supplier first standing behind them so the purchase can go through. The divergence on Friday comes down to this difference. So let’s go back to Amazon itself. It can afford to buy—no doubt. The harder question is how cheaply (or expensively) the items it buys can be valued. In Q2, AWS revenue was $42.2 billion, up 37% year over year. Operating profit margin was 39.4%, versus 32.9% in the same period last year. When money is being spent most aggressively, the profit margin actually widened by more than six percentage points—exactly the opposite of what intuition suggests. The reason is the speed gap between two lines. In the same quarter, Amazon’s depreciation and amortization was $20 billion, versus $15.2 billion in the prior-year quarter—a 30% increase. Depreciation is indeed rising, but AWS revenue is rising even faster. What people call the “depreciation wall” is when the timing comes for the period when revenue growth slows below depreciation growth. Those two lines have not crossed yet. #AI infrastructure The cash-side tightness is real. Rolling 12-month operating cash flow was $161.4 billion. Free cash flow was -$7.6 billion; last year, the figure was positive. The gap comes from spending on land, building data centers, and buying chips—funding the company says in its earnings materials is mainly aimed at artificial intelligence. Management raised its 2026 capital expenditure guidance to $220 billion, with the direct rationale being rising memory prices. There is one detail that better shows how management thinks than the guidance number itself. Starting January 1, 2025, Amazon changed the depreciation life of some servers and network equipment from six years back to five. The reason given was that AI makes technology cycles move faster. The debate outside about whether compute-asset lifespans are overestimated has been going on for more than a year. Before the dispute grew too big, Amazon tightened its own assumptions. This move is a negative for current-period earnings, and the willingness to do it suggests the company isn’t very optimistic about how long its equipment will actually last. The external disagreement is exactly concentrated on that assumption. On August 28, Evercore ISI raised its price target for Amazon while maintaining its bullish view. Around the same time, Rosenblatt Securities initiated coverage with a Buy rating. Both are betting that AWS growth hasn’t reached its end yet. The strongest argument from the bearish camp comes from Michael Burry, who has long argued that the real usable life of compute assets is shorter than the accounting assumptions by a noticeable margin. If that’s true, the depreciation expense of these mega-scale players over the past few years has been systematically underestimated, meaning part of the book profit is essentially “borrowed.” I lean toward the bullish side. The reasons differ from the seller’s, though. Amazon’s ability to pay isn’t the issue: $161.4 billion in operating cash flow plus room for financing easily covers the 3 million chips. The risk falls on the speed gap between revenue growth and depreciation. Depreciation is a cost locked in once contracts are signed; it hits steadily each quarter. AWS revenue growth depends on whether customer budgets keep up. In this 37% figure, how much comes from long-term commitments versus phase-based surges like AI training—Amazon hasn’t broken it down. That’s the part I’m least certain about right now. The only read that could make me change my mind is whether AWS can defend operating profit margin around 39%. If it holds, it suggests the additional depreciation is still being absorbed by revenue. If it drops, it indicates this round of capital spending is starting to eat into profit, and the whole algorithm behind these assumptions has to be rebuilt. Looking on the optimistic side, the reasons aren’t weak either. If AI demand in 2027 to 2028 really is as Nvidia management described—long-term supply shortfalls—then every additional chip bought now will become revenue earlier, and depreciation pressure will be diluted. In that case, worrying about margins now is just overthinking. Amazon itself has also said that by 2027, capacity won’t be able to catch up with demand. If that holds, then the earlier concerns are indeed excessive. $AMZNB hasn’t had much pricing information over the past two days. Waiting until after the U.S. stock market opens on Monday will make the traded volume meaningful. If you want to follow this line, you can look at the two lines in the next quarterly report for AWS—operating profit margin and depreciation/amortization—which are more useful than obsessing over day-to-day price moves.
Amazon’s net profit last quarter jumped sharply—so sharply it looks like AWS suddenly switched to a money-printing machine. But you can’t read this number that way. Most of it comes from a mark-to-market revaluation of Anthropic equity the company already holds, not from selling cloud services.

Strip that out: in Q2, operating profit was $27.5 billion—that’s the money actually earned by the business itself. This matters because Amazon has signed another bill this week that will be gradually digested through operating profit.

On August 26, AWS and Nvidia announced an additional 2 million GPUs, with delivery scheduled for 2027 to 2028. Add that to the 1 million GPUs earlier this year, and the committed total is raised to over 3 million. The models cover Blackwell Ultra, Rubin, and Rubin Ultra. After the U.S. stock market opened on Friday, the market’s reaction to this order was: buyers up, suppliers down. The reading at $AMZNB at 20:18 is $266.21, up 3.44% over 24 hours. That rally is concentrated in the few hours of U.S. trading on Friday. Since Saturday, the order book has barely moved, with only a few hundred thousand dollars in volume—so it can’t serve as a reliable “sentiment” read. In the same window, $NVDAB is -3.54%.

Nvidia’s red candle has little to do with this order. Late on August 27, The Wall Street Journal reported that Nvidia paused some transactions in a financing program it launched in July. The program previously disclosed a commitment size of about $36 billion. The mechanism is: Nvidia first extends credit to small- and mid-sized AI cloud companies so they can afford the chips. Once those cloud companies rent out compute, the revenue portion above the agreed cost is shared back with Nvidia. If they fail to rent out capacity, the capacity is taken back by Nvidia. The report cites internal antitrust concerns and partners’ dissatisfaction with restrictions on customers. Externally, Nvidia still says the program is running. Some media have questioned the report—this is the point to record for now.

Two developments landing in the same week split people buying the cards into two groups. Amazon’s 3 million GPUs are funded from the company’s own cash flow. The batch for smaller cloud firms depends on the supplier first standing behind them so the purchase can go through. The divergence on Friday comes down to this difference.

So let’s go back to Amazon itself. It can afford to buy—no doubt. The harder question is how cheaply (or expensively) the items it buys can be valued.

In Q2, AWS revenue was $42.2 billion, up 37% year over year. Operating profit margin was 39.4%, versus 32.9% in the same period last year. When money is being spent most aggressively, the profit margin actually widened by more than six percentage points—exactly the opposite of what intuition suggests.

The reason is the speed gap between two lines. In the same quarter, Amazon’s depreciation and amortization was $20 billion, versus $15.2 billion in the prior-year quarter—a 30% increase. Depreciation is indeed rising, but AWS revenue is rising even faster. What people call the “depreciation wall” is when the timing comes for the period when revenue growth slows below depreciation growth. Those two lines have not crossed yet. #AI infrastructure

The cash-side tightness is real. Rolling 12-month operating cash flow was $161.4 billion. Free cash flow was -$7.6 billion; last year, the figure was positive. The gap comes from spending on land, building data centers, and buying chips—funding the company says in its earnings materials is mainly aimed at artificial intelligence. Management raised its 2026 capital expenditure guidance to $220 billion, with the direct rationale being rising memory prices.

There is one detail that better shows how management thinks than the guidance number itself. Starting January 1, 2025, Amazon changed the depreciation life of some servers and network equipment from six years back to five. The reason given was that AI makes technology cycles move faster. The debate outside about whether compute-asset lifespans are overestimated has been going on for more than a year. Before the dispute grew too big, Amazon tightened its own assumptions. This move is a negative for current-period earnings, and the willingness to do it suggests the company isn’t very optimistic about how long its equipment will actually last.

The external disagreement is exactly concentrated on that assumption. On August 28, Evercore ISI raised its price target for Amazon while maintaining its bullish view. Around the same time, Rosenblatt Securities initiated coverage with a Buy rating. Both are betting that AWS growth hasn’t reached its end yet. The strongest argument from the bearish camp comes from Michael Burry, who has long argued that the real usable life of compute assets is shorter than the accounting assumptions by a noticeable margin. If that’s true, the depreciation expense of these mega-scale players over the past few years has been systematically underestimated, meaning part of the book profit is essentially “borrowed.”

I lean toward the bullish side. The reasons differ from the seller’s, though. Amazon’s ability to pay isn’t the issue: $161.4 billion in operating cash flow plus room for financing easily covers the 3 million chips. The risk falls on the speed gap between revenue growth and depreciation. Depreciation is a cost locked in once contracts are signed; it hits steadily each quarter. AWS revenue growth depends on whether customer budgets keep up. In this 37% figure, how much comes from long-term commitments versus phase-based surges like AI training—Amazon hasn’t broken it down. That’s the part I’m least certain about right now.

The only read that could make me change my mind is whether AWS can defend operating profit margin around 39%. If it holds, it suggests the additional depreciation is still being absorbed by revenue. If it drops, it indicates this round of capital spending is starting to eat into profit, and the whole algorithm behind these assumptions has to be rebuilt.

Looking on the optimistic side, the reasons aren’t weak either. If AI demand in 2027 to 2028 really is as Nvidia management described—long-term supply shortfalls—then every additional chip bought now will become revenue earlier, and depreciation pressure will be diluted. In that case, worrying about margins now is just overthinking. Amazon itself has also said that by 2027, capacity won’t be able to catch up with demand. If that holds, then the earlier concerns are indeed excessive.

$AMZNB hasn’t had much pricing information over the past two days. Waiting until after the U.S. stock market opens on Monday will make the traded volume meaningful. If you want to follow this line, you can look at the two lines in the next quarterly report for AWS—operating profit margin and depreciation/amortization—which are more useful than obsessing over day-to-day price moves.
On Friday, gold and Bitcoin were both cut down, while the U.S. stock market on the other side was basically fine. This pairing alone explains half the story. In his first #JacksonHole speech after taking office, markets had been preparing for a relatively mild message. What he delivered was something else. According to the prepared remarks on the Federal Reserve’s website, he said inflation is still running above the 2% target, and the Fed’s focus should be on prices for now; if it can’t be confirmed that underlying inflation is moving toward the goal, then there’s still work to be done. The harder line came afterward: he said he can’t describe the current overall financial environment as sufficiently restrictive. That sentence is basically saying: money is still too loose. The short-end bond market immediately understood. The yield on the 2-year Treasury jumped to 4.34%, the highest in a month. CME interest-rate futures raised the odds of a September hike from 35% before the speech to 60%, and the U.S. dollar strengthened accordingly. In the same window, the Nasdaq fell only 0.3%, ending the day essentially flat. Gold took the hardest hit, losing about 3% over the day on the spot market. Bitcoin was smashed from 81,479 all the way down to 76,888, and it’s now hovering around 77,700. Put these numbers together and it doesn’t look much like a generic, broad reduction in risk appetite. Stocks barely moved, which suggests the market wasn’t worried that the economy would break or that companies would earn less. What got hit were gold and Bitcoin—both non-yielding assets. Their pricing works the same way: holding them produces no cash flow; the “cost” of holding is the risk-free interest you give up. When short-term rates move up one notch, the interest you give up becomes more expensive by one notch too, pushing the “reasonable” prices of both assets down at the same time. What traded on Friday was $BTC —rather than any mood swing in the Nasdaq. So I don’t quite agree with the most widely circulated explanation. Screenshot after screenshot of liquidation claims are everywhere, with the story being leverage cascade—longs got swept. I pulled up Binance’s contract data myself, and that narrative doesn’t hold up. The funding rate—from last week through this morning—has been sitting around the 0.01% mark. During the rise it didn’t spike higher, and when price dropped it didn’t turn negative. The longs never paid any meaningful premium from start to finish. Trading volume tells a better story: from the intraday high on Friday until now, open contracts fell only 3.4%, yet the price range between the highs and lows spans several thousand dollars. Will Clemente even said publicly the day before the speech that, at that time, contract open interest was lower than it was before this latest rally started. In a market where leverage didn’t build up much, a drop obviously can’t blow out too much. Those liquidation figures in the hundreds of millions of dollars aren’t that scary when put against a standing open position of more than eight billion dollars. Different firms’统计 conventions also don’t line up—they contradict each other. The price gets pushed down because on the spot side there are people willing to cut prices to sell, but there aren’t enough buyers willing to step in at the original price. This conclusion is more uncomfortable than a liquidation stampede. A stampede is mechanical: after forced liquidations clear, prices often rebound a bit on their own. If price is repriced one notch, it won’t. The Asian-session move today is a good test. $BTC has since just been chopping around in a range of a bit over three hundred dollars—no rebound, and no further slide. On the altcoin side, SOL and XRP fell about four-plus points on Friday, and today they’re doing the same—basically flat. The market isn’t correcting an overreaction; it’s accepting a new price level. That said, this view has a clear “dead spot”: whether a September hike actually happens. The disagreement on this issue is bigger than it looks on the surface. F.L. Putnam’s Chief Market Strategist Ellen Hazen read the speech and concluded that Warsh was laying the groundwork for rate hikes. But she thinks he’ll use the newly set up working group as the reason to stretch the action out until after the midterm elections. Dakota Wealth’s Robert Pavlik goes further, saying this speech was a mix of hawk and dove: Warsh neither said nor hinted that a hike is imminent. That, in his view, is why stocks didn’t really drop on the day. Peter Schiff’s doubts are more direct. On X (Twitter), he said Warsh had been firing hard warnings about killing inflation ever since before his nomination, yet he never actually raised rates. With M2 and the Fed’s balance sheet still expanding, what exactly did this speech change? These people are arguing about the same thing: whether the 60% probability is priced too expensively. If nothing happens after the September meeting, then the portion of short-end yields that jumped in the past few days should be unwound, and the valuation “notch” that has been pushed down on gold and Bitcoin should come back too. My inclination is that the probability is set too high. The reasoning is similar to Schiff’s: the chair who, even now, keeps refusing to spell out an action path is most likely to keep waiting for the data. But I’m not going to state it as certainty, because the line Hazen pointed to is the weightiest part of the speech: “financial conditions are not restrictive enough”—a phrase that leaves room for additional hikes. There’s another shift too: it doesn’t move prices in the immediate term, but it will affect what the market focuses on over the next few months. Warsh said explicitly he doesn’t plan to provide forward guidance anymore. His rationale was that showing the Fed’s reaction function through predictions works better in a lab than in the field. When the market prices based on the Fed’s guidance—and then the Fed looks back at market prices to judge conditions—the two sides eventually end up seeing no new information together. Mohamed El-Erian spoke favorably about the speech, saying it lived up to the market’s earlier expectations of a big divergence in views. Andersen Capital’s Peter Andersen put it more vividly: investors want a navigation system, and Warsh gave them a compass. People holding crypto will feel this shift in a tangible way. In the past few years of doing macro trades, a large part of the job has been reading the Fed’s wording. Going forward, that component will shift to the data itself. Each time CPI and PCE comes out, the market will have to price it on the spot—there won’t be an official framework to help align expectations in advance. The source of volatility will change, and the frequency will very likely rise. So for this Friday’s drop, I won’t read it as crypto markets having problems of their own. It’s more like the interest-rate environment moved one notch, and gold and Bitcoin were pushed down together for the same reason. If you want to track whether the move has finished, you can watch whether the 2-year Treasury yield can hold the levels it was pushed up to over the next couple of days—and whether CME’s September probability keeps climbing or falls back to where it was before the speech. Those two readings are closer to the real source of this selloff than any liquidation screenshot.
On Friday, gold and Bitcoin were both cut down, while the U.S. stock market on the other side was basically fine. This pairing alone explains half the story.

In his first #JacksonHole speech after taking office, markets had been preparing for a relatively mild message. What he delivered was something else. According to the prepared remarks on the Federal Reserve’s website, he said inflation is still running above the 2% target, and the Fed’s focus should be on prices for now; if it can’t be confirmed that underlying inflation is moving toward the goal, then there’s still work to be done. The harder line came afterward: he said he can’t describe the current overall financial environment as sufficiently restrictive. That sentence is basically saying: money is still too loose.

The short-end bond market immediately understood. The yield on the 2-year Treasury jumped to 4.34%, the highest in a month. CME interest-rate futures raised the odds of a September hike from 35% before the speech to 60%, and the U.S. dollar strengthened accordingly. In the same window, the Nasdaq fell only 0.3%, ending the day essentially flat. Gold took the hardest hit, losing about 3% over the day on the spot market. Bitcoin was smashed from 81,479 all the way down to 76,888, and it’s now hovering around 77,700.

Put these numbers together and it doesn’t look much like a generic, broad reduction in risk appetite. Stocks barely moved, which suggests the market wasn’t worried that the economy would break or that companies would earn less. What got hit were gold and Bitcoin—both non-yielding assets. Their pricing works the same way: holding them produces no cash flow; the “cost” of holding is the risk-free interest you give up. When short-term rates move up one notch, the interest you give up becomes more expensive by one notch too, pushing the “reasonable” prices of both assets down at the same time. What traded on Friday was $BTC —rather than any mood swing in the Nasdaq.

So I don’t quite agree with the most widely circulated explanation. Screenshot after screenshot of liquidation claims are everywhere, with the story being leverage cascade—longs got swept. I pulled up Binance’s contract data myself, and that narrative doesn’t hold up. The funding rate—from last week through this morning—has been sitting around the 0.01% mark. During the rise it didn’t spike higher, and when price dropped it didn’t turn negative. The longs never paid any meaningful premium from start to finish. Trading volume tells a better story: from the intraday high on Friday until now, open contracts fell only 3.4%, yet the price range between the highs and lows spans several thousand dollars. Will Clemente even said publicly the day before the speech that, at that time, contract open interest was lower than it was before this latest rally started.

In a market where leverage didn’t build up much, a drop obviously can’t blow out too much. Those liquidation figures in the hundreds of millions of dollars aren’t that scary when put against a standing open position of more than eight billion dollars. Different firms’统计 conventions also don’t line up—they contradict each other. The price gets pushed down because on the spot side there are people willing to cut prices to sell, but there aren’t enough buyers willing to step in at the original price.

This conclusion is more uncomfortable than a liquidation stampede. A stampede is mechanical: after forced liquidations clear, prices often rebound a bit on their own. If price is repriced one notch, it won’t. The Asian-session move today is a good test. $BTC has since just been chopping around in a range of a bit over three hundred dollars—no rebound, and no further slide. On the altcoin side, SOL and XRP fell about four-plus points on Friday, and today they’re doing the same—basically flat. The market isn’t correcting an overreaction; it’s accepting a new price level.

That said, this view has a clear “dead spot”: whether a September hike actually happens.

The disagreement on this issue is bigger than it looks on the surface. F.L. Putnam’s Chief Market Strategist Ellen Hazen read the speech and concluded that Warsh was laying the groundwork for rate hikes. But she thinks he’ll use the newly set up working group as the reason to stretch the action out until after the midterm elections. Dakota Wealth’s Robert Pavlik goes further, saying this speech was a mix of hawk and dove: Warsh neither said nor hinted that a hike is imminent. That, in his view, is why stocks didn’t really drop on the day. Peter Schiff’s doubts are more direct. On X (Twitter), he said Warsh had been firing hard warnings about killing inflation ever since before his nomination, yet he never actually raised rates. With M2 and the Fed’s balance sheet still expanding, what exactly did this speech change?

These people are arguing about the same thing: whether the 60% probability is priced too expensively. If nothing happens after the September meeting, then the portion of short-end yields that jumped in the past few days should be unwound, and the valuation “notch” that has been pushed down on gold and Bitcoin should come back too. My inclination is that the probability is set too high. The reasoning is similar to Schiff’s: the chair who, even now, keeps refusing to spell out an action path is most likely to keep waiting for the data. But I’m not going to state it as certainty, because the line Hazen pointed to is the weightiest part of the speech: “financial conditions are not restrictive enough”—a phrase that leaves room for additional hikes.

There’s another shift too: it doesn’t move prices in the immediate term, but it will affect what the market focuses on over the next few months. Warsh said explicitly he doesn’t plan to provide forward guidance anymore. His rationale was that showing the Fed’s reaction function through predictions works better in a lab than in the field. When the market prices based on the Fed’s guidance—and then the Fed looks back at market prices to judge conditions—the two sides eventually end up seeing no new information together. Mohamed El-Erian spoke favorably about the speech, saying it lived up to the market’s earlier expectations of a big divergence in views. Andersen Capital’s Peter Andersen put it more vividly: investors want a navigation system, and Warsh gave them a compass.

People holding crypto will feel this shift in a tangible way. In the past few years of doing macro trades, a large part of the job has been reading the Fed’s wording. Going forward, that component will shift to the data itself. Each time CPI and PCE comes out, the market will have to price it on the spot—there won’t be an official framework to help align expectations in advance. The source of volatility will change, and the frequency will very likely rise.

So for this Friday’s drop, I won’t read it as crypto markets having problems of their own. It’s more like the interest-rate environment moved one notch, and gold and Bitcoin were pushed down together for the same reason. If you want to track whether the move has finished, you can watch whether the 2-year Treasury yield can hold the levels it was pushed up to over the next couple of days—and whether CME’s September probability keeps climbing or falls back to where it was before the speech. Those two readings are closer to the real source of this selloff than any liquidation screenshot.
Verified
This summer, PayPal’s board received a cash acquisition offer. After reviewing it, they felt the price was too low and sent it back. The buyer didn’t walk away right away—negotiations dragged on for more than a month. In the end, they decided not to raise the price and simply ended the talks. The news broke on Thursday night, and by the next session the stock opened and immediately plunged. $PYPLB is trading on Binance’s spot market at $51.97 right now, down 15.63% over the past 24 hours. At one point it was smashed down to $50.07—an 8:08 reading. The consortium of Advent and Stripe offered $60.50 per share, implying a valuation of more than $53 billion. The board thought this number undervalued the company. Today’s trading price landed even lower than that figure. The first half of August shows the expectations even more clearly. On August 15, PYPLB touched $64.54, trading above the bid. People who entered back then were betting that the consortium would add more. That bet has been cleared today. So the remaining question is: apart from the M&A premium, what is this company worth by itself? The board said it’s above $60.50; today’s price says $51.97. That gap of about 16% has to be found in the financial statements. I went through the July 28 earnings report from top to bottom. Revenue was up 5% year over year, while total payment volume was up 10%. The money flowing through PayPal’s pipe is still growing at double-digit rates, but the portion the company keeps for itself is only growing at single digits. Go one layer deeper and it becomes clearer. Divide transaction revenue by total payment volume: in Q2, the transaction fee rate was 1.61%, versus 1.68% in the same quarter last year. Seven basis points doesn’t sound like much—until you spread it over a quarterly flow approaching $500 billion, and it’s not pocket change. In the same quarter, transaction profit in dollars was up only 1%. After stripping out interest on customer balances, it was up 3%. When volume grew 10%, the gross margin the company actually pocketed rose by only 1%. PayPal handles more money year after year, yet each dollar leaves less behind as time goes on. Operating profit margin keeps sliding, and non-GAAP EPS fell back slightly year over year. On the same day, management raised its full-year guidance, pointing non-GAAP EPS to $5.38—up a little from $5.31 last year. That “little bit” can be traced directly on the books. Over the past twelve months, the company repurchased about 111 million shares, reducing the float by nearly 6% over the first half of the year. The numerator barely moved, the denominator shrank quickly—so EPS barely held steady. Buying back your own stock with free cash flow is a reasonable move at this price. In the first half, free cash flow was $2.678 billion—this business is still making money. Based on today’s price, the market capitalization corresponds to fewer than 10 times this year’s earnings guidance. Buybacks can solve for per-share numbers, but they can’t fix every “payment.” The company’s own answer is hidden in the restructuring on April 29. Lores took over as CEO from Alex Chriss on March 1, and the board’s reason for the management change was that execution was too slow. In his first month, he split the company into three parts. One of them is called Payment Services & Crypto, housing Braintree, merchant processing for SMBs, and PYUSD. Digital assets got an independent slot for the first time within #PayPal . When the cut on the button becomes harder to defend, you go toward the pipe and the settlement layer—where you can earn from clearing, float, and cross-border money. Stablecoins serve as settlement tools on this route. Where that path goes can be seen on-chain. Today I directly pulled up the contract: total PYUSD on Ethereum is about 1.8 billion coins; on Solana it’s about 680 million. On a whole-chain basis, it’s more than 2.7 billion dollars. The peak on March 5 was 4.2 billion—down about 35% from this year’s high. If you stretch the timeline, the shape matters more than the drawdown. Last September, PYUSD across all chains was still only a little over 1.1 billion. By December it reached 3.8 billion. A stablecoin that surged more than threefold in three months doesn’t come from merchant settlement demand behind the scenes. That period corresponds to a round of high-interest reward programs. Once rewards were reduced, the money left. So this year’s supply dropped by one-third. You can’t directly read it as PayPal’s payments business shrinking. A lot of what rose earlier was rented. What I care about more is whether it can keep climbing on its own when there are no rewards. After the news broke, Thomas Hayes of Great Hill Capital publicly applauded the board, saying you can’t let the buyer take away upside from existing shareholders. His rationale was that the $60.50 offer is still less than nine times free cash flow. The company should continue executing independently, including buybacks. By his math, the offer really isn’t expensive. My disagreement is in the premise. Nine times free cash flow might be cheap for a payments company with stable gross margins, but for a company whose fee rate declines by seven basis points every year, it may not be. Put a “cheap” multiple onto gradually thinning gross margin, and the outcome might only be that it falls more slowly. The consortium is essentially saying the same thing. After reading the financials, they decided not to raise the price—suggesting that in their model, the company can’t support a higher number. I’m not on the “value trap” side either. The buyback intensity and the cash flow are real. Venmo was singled out as an independent business unit. Reading it, I felt like they were paving the way for a spin-off or sale. If that route works, it’s the second way to make up the discount. What the board is betting on is that its transformation can outperform the decline in the fee rate—and the money for that bet comes from shareholders. Today’s share price is the market’s price for that bet. I’ll watch three things. In the Q3 report in late October, whether the decline in that seven-basis-point transaction fee rate narrows. Whether the growth rate of transaction profit in dollars can rise above 3% once interest is stripped out—showing the new money starts moving faster than the payment flow. And finally, the PYUSD supply curve when there’s no reward campaign; anyone can check the on-chain data themselves. Of the three, two have turned. The board scrapping that offer is the right call. All three are still mostly the same; the $60.50 that was pushed away might end up being the best price this company will see in the coming years. If you have a position—or you just want to see whether this transformation can work—you can note down the single line about the transaction fee rate from the Q3 report. You can also save a copy of the PYUSD on-chain supply curve; it updates faster than research notes.
This summer, PayPal’s board received a cash acquisition offer. After reviewing it, they felt the price was too low and sent it back. The buyer didn’t walk away right away—negotiations dragged on for more than a month. In the end, they decided not to raise the price and simply ended the talks. The news broke on Thursday night, and by the next session the stock opened and immediately plunged.

$PYPLB is trading on Binance’s spot market at $51.97 right now, down 15.63% over the past 24 hours. At one point it was smashed down to $50.07—an 8:08 reading.

The consortium of Advent and Stripe offered $60.50 per share, implying a valuation of more than $53 billion. The board thought this number undervalued the company. Today’s trading price landed even lower than that figure.

The first half of August shows the expectations even more clearly. On August 15, PYPLB touched $64.54, trading above the bid. People who entered back then were betting that the consortium would add more. That bet has been cleared today.

So the remaining question is: apart from the M&A premium, what is this company worth by itself? The board said it’s above $60.50; today’s price says $51.97. That gap of about 16% has to be found in the financial statements.

I went through the July 28 earnings report from top to bottom.

Revenue was up 5% year over year, while total payment volume was up 10%. The money flowing through PayPal’s pipe is still growing at double-digit rates, but the portion the company keeps for itself is only growing at single digits.

Go one layer deeper and it becomes clearer. Divide transaction revenue by total payment volume: in Q2, the transaction fee rate was 1.61%, versus 1.68% in the same quarter last year. Seven basis points doesn’t sound like much—until you spread it over a quarterly flow approaching $500 billion, and it’s not pocket change. In the same quarter, transaction profit in dollars was up only 1%. After stripping out interest on customer balances, it was up 3%. When volume grew 10%, the gross margin the company actually pocketed rose by only 1%.

PayPal handles more money year after year, yet each dollar leaves less behind as time goes on. Operating profit margin keeps sliding, and non-GAAP EPS fell back slightly year over year. On the same day, management raised its full-year guidance, pointing non-GAAP EPS to $5.38—up a little from $5.31 last year.

That “little bit” can be traced directly on the books. Over the past twelve months, the company repurchased about 111 million shares, reducing the float by nearly 6% over the first half of the year. The numerator barely moved, the denominator shrank quickly—so EPS barely held steady.

Buying back your own stock with free cash flow is a reasonable move at this price. In the first half, free cash flow was $2.678 billion—this business is still making money. Based on today’s price, the market capitalization corresponds to fewer than 10 times this year’s earnings guidance.

Buybacks can solve for per-share numbers, but they can’t fix every “payment.”

The company’s own answer is hidden in the restructuring on April 29. Lores took over as CEO from Alex Chriss on March 1, and the board’s reason for the management change was that execution was too slow. In his first month, he split the company into three parts. One of them is called Payment Services & Crypto, housing Braintree, merchant processing for SMBs, and PYUSD. Digital assets got an independent slot for the first time within #PayPal .

When the cut on the button becomes harder to defend, you go toward the pipe and the settlement layer—where you can earn from clearing, float, and cross-border money. Stablecoins serve as settlement tools on this route.

Where that path goes can be seen on-chain. Today I directly pulled up the contract: total PYUSD on Ethereum is about 1.8 billion coins; on Solana it’s about 680 million. On a whole-chain basis, it’s more than 2.7 billion dollars. The peak on March 5 was 4.2 billion—down about 35% from this year’s high.

If you stretch the timeline, the shape matters more than the drawdown. Last September, PYUSD across all chains was still only a little over 1.1 billion. By December it reached 3.8 billion. A stablecoin that surged more than threefold in three months doesn’t come from merchant settlement demand behind the scenes. That period corresponds to a round of high-interest reward programs. Once rewards were reduced, the money left.

So this year’s supply dropped by one-third. You can’t directly read it as PayPal’s payments business shrinking. A lot of what rose earlier was rented. What I care about more is whether it can keep climbing on its own when there are no rewards.

After the news broke, Thomas Hayes of Great Hill Capital publicly applauded the board, saying you can’t let the buyer take away upside from existing shareholders. His rationale was that the $60.50 offer is still less than nine times free cash flow. The company should continue executing independently, including buybacks.

By his math, the offer really isn’t expensive. My disagreement is in the premise. Nine times free cash flow might be cheap for a payments company with stable gross margins, but for a company whose fee rate declines by seven basis points every year, it may not be. Put a “cheap” multiple onto gradually thinning gross margin, and the outcome might only be that it falls more slowly. The consortium is essentially saying the same thing. After reading the financials, they decided not to raise the price—suggesting that in their model, the company can’t support a higher number.

I’m not on the “value trap” side either. The buyback intensity and the cash flow are real. Venmo was singled out as an independent business unit. Reading it, I felt like they were paving the way for a spin-off or sale. If that route works, it’s the second way to make up the discount.

What the board is betting on is that its transformation can outperform the decline in the fee rate—and the money for that bet comes from shareholders. Today’s share price is the market’s price for that bet.

I’ll watch three things. In the Q3 report in late October, whether the decline in that seven-basis-point transaction fee rate narrows. Whether the growth rate of transaction profit in dollars can rise above 3% once interest is stripped out—showing the new money starts moving faster than the payment flow. And finally, the PYUSD supply curve when there’s no reward campaign; anyone can check the on-chain data themselves.

Of the three, two have turned. The board scrapping that offer is the right call. All three are still mostly the same; the $60.50 that was pushed away might end up being the best price this company will see in the coming years.

If you have a position—or you just want to see whether this transformation can work—you can note down the single line about the transaction fee rate from the Q3 report. You can also save a copy of the PYUSD on-chain supply curve; it updates faster than research notes.
When it comes to making Bitcoin quantum-resistant, several different paths suddenly emerged this week, and they are completely different in how they’re carried out. The first one to go viral is also the easiest to understand: Bitcoin’s rules don’t change at all—repeatedly re-compute the signature for a payment until a quantum computer can’t do anything about it, and then hand the transaction straight to the miners for packaging. The premise is a bit awkward: ordinary nodes simply don’t relay transactions in this format—you have to knock on a mining pool’s door yourself. This transaction landed in block number 964,199. The scheme was designed by Avihu Levy of StarkWare, and his colleague Tomer Giladi routed it through MARA’s Slipstream channel. I pulled it apart on-chain and checked it: the input protected by the quantum-resistance mechanism is 10,000 sats, which at today’s price comes to less than eight dollars. Levy has explained the principle: the wallet doesn’t accept the first valid signature it computes. Instead, it keeps generating candidate signatures over and over until it finds the one with the right shape—this process consumes several hours of computing power. Eight dollars, several hours. Pulling this comparison out isn’t meant to mock; it actually shows what this proof demonstrated. Under Bitcoin’s consensus rules today, a spend that does not leak a public key throughout can indeed be packed into the main net. The scheme’s boundaries are something StarkWare itself describes more honestly than the people who circulated it. The company states clearly that QSB did not make Bitcoin quantum-resistant. It protects only certain transactions. Specifically, it only works for addresses whose public keys have already been exposed on-chain; it can’t save others. CEO Eli Ben-Sasson puts it even more plainly: he still wants Bitcoin to do a soft fork, and he believes it will happen in the end. The trouble is right here. Bitcoin’s quantum risk isn’t distributed evenly across all coins—it is concentrated only on the subset of addresses whose public keys are already written into blocks. An address that has spent money belongs to this category. As of March 1 of this year, more than one-third of all Bitcoin on the network has already exposed public keys on-chain. These coins won’t become automatically safe just because there’s a new way to spend them. Either the owners actively move them, or they just sit there indefinitely waiting. QSB is a tool prepared for the portion that hasn’t exposed public keys; that’s exactly the group that most needs rescue, but it can’t reach them. The second path goes after this gap. In the same week, Blockstream’s Jonas Nick formally published BIP for SHRINCS. This is the first quantum-resistant signature scheme specifically tailored by trimming according to Bitcoin’s ledger structure. The foundation is still SHA-256, and it doesn’t rely on any new mathematical assumptions. The cost is made explicit: today a Schnorr signature is 64 bytes; SHRINCS has a minimum of 548 bytes, and in the worst case it can grow to 4,619 bytes. It also requires state: with the same private key, each time you sign the key grows a bit longer. If the device is lost, you need a fallback transaction of more than 5,000 bytes to recover the funds. In the BIP document, there’s also a line that has not been deleted: the security proof hasn’t been completed. The third path goes even further. In the same week, Blockstream also released an evaluation of lattice-based signatures. Falcon-1024 is the most space-efficient in that category: public key plus signature together totals 3,073 bytes. But the research team itself didn’t recommend deploying it right now, and NIST’s standard text isn’t finalized yet. Their suggested order is: use the hash-based approach first, and only consider a hybrid once the Falcon standard is settled. Once the routes are laid out, the shared point can’t be hidden. Besides QSB, the other two paths require changing the consensus layer. QSB doesn’t because it bypasses the entire P2P network: nodes don’t recognize such transactions, so miners have to receive and package them separately. Engineering-wise, Bitcoin today isn’t short of answers—it’s short of someone who has the authority to decide for the one-third of coins. This contradiction has already been brought to the surface this year. In February, BIP-360 was merged into the official repository, defining Bitcoin’s first quantum-resistant address type. In April, Jameson Lopp and five other developers published BIP-361, setting a five-year sunset period for old signature types. Coins that haven’t been moved by the deadline will no longer be recognized by the network as spendable, including the batch widely believed to be Satoshi’s. Adam Back is explicitly against forced freezing; he argues that quantum-resistant functionality should be made an optional feature now, so people can move their own coins. The most accurate summary came from Marin Ivezic, who works on post-quantum security; he said the true constraint for Bitcoin’s quantum migration isn’t cryptography—it’s governance. I agree with that judgment, and this week’s news provides a perfect footnote. Cryptographers have finished the multiple-choice part: QSB is what can already be used; SHRINCS is what can be brought into the protocol; and Falcon is the option that saves space. The remaining controversy no longer belongs to technical selection—it’s whether to set a deadline for the coins owned by some people. Bitcoin’s governance structure is capable of adding features—Taproot is proof of that. But when it comes to taking away rights, it has never succeeded. The original design was meant to block exactly this kind of thing. This judgment can be falsified. Over the next few months, if BIP-360 or SHRINCS enters substantial activation discussions and rejects the kind of signaling schedule Taproot used that year, the governance bottleneck might not be as stuck as I imagine. Another signal could be even more direct on-chain: if large addresses that haven’t moved in more than ten years—and whose public keys are already exposed—start relocating in bulk, then the debate about freezing versus not freezing will automatically be downgraded. Neither of these has happened yet. And there’s no need to be scared by this week alone. The market’s starting point for quantum anxiety is late March and June. Google Quantum AI improved the resource estimation for Shor’s algorithm on elliptic curves by an order of magnitude, and Justin Drake’s long write-up spread it widely in the community. Resource estimation improvement is not the same as actually building machines—the former only shifts the timetable forward a bit. #Bitcoin is now 79,891, and overall this week it’s still moving upward, basically unrelated to the quantum timeline. The value of $BTC is still running along with macro factors and the ETF schedule. If you want to do something for yourself these days, you can check whether the commonly used address you control has spent funds on-chain. If it has, that means the public key is already exposed, and later—no matter which path Bitcoin chooses—the addresses that will need to be moved proactively are exactly this kind. It’s still far from that day, but knowing which side you’re on is more useful than remembering which week someone proposed which scheme.
When it comes to making Bitcoin quantum-resistant, several different paths suddenly emerged this week, and they are completely different in how they’re carried out. The first one to go viral is also the easiest to understand: Bitcoin’s rules don’t change at all—repeatedly re-compute the signature for a payment until a quantum computer can’t do anything about it, and then hand the transaction straight to the miners for packaging.

The premise is a bit awkward: ordinary nodes simply don’t relay transactions in this format—you have to knock on a mining pool’s door yourself.

This transaction landed in block number 964,199. The scheme was designed by Avihu Levy of StarkWare, and his colleague Tomer Giladi routed it through MARA’s Slipstream channel. I pulled it apart on-chain and checked it: the input protected by the quantum-resistance mechanism is 10,000 sats, which at today’s price comes to less than eight dollars. Levy has explained the principle: the wallet doesn’t accept the first valid signature it computes. Instead, it keeps generating candidate signatures over and over until it finds the one with the right shape—this process consumes several hours of computing power.

Eight dollars, several hours. Pulling this comparison out isn’t meant to mock; it actually shows what this proof demonstrated. Under Bitcoin’s consensus rules today, a spend that does not leak a public key throughout can indeed be packed into the main net.

The scheme’s boundaries are something StarkWare itself describes more honestly than the people who circulated it. The company states clearly that QSB did not make Bitcoin quantum-resistant. It protects only certain transactions. Specifically, it only works for addresses whose public keys have already been exposed on-chain; it can’t save others. CEO Eli Ben-Sasson puts it even more plainly: he still wants Bitcoin to do a soft fork, and he believes it will happen in the end.

The trouble is right here. Bitcoin’s quantum risk isn’t distributed evenly across all coins—it is concentrated only on the subset of addresses whose public keys are already written into blocks. An address that has spent money belongs to this category. As of March 1 of this year, more than one-third of all Bitcoin on the network has already exposed public keys on-chain. These coins won’t become automatically safe just because there’s a new way to spend them. Either the owners actively move them, or they just sit there indefinitely waiting. QSB is a tool prepared for the portion that hasn’t exposed public keys; that’s exactly the group that most needs rescue, but it can’t reach them.

The second path goes after this gap. In the same week, Blockstream’s Jonas Nick formally published BIP for SHRINCS. This is the first quantum-resistant signature scheme specifically tailored by trimming according to Bitcoin’s ledger structure. The foundation is still SHA-256, and it doesn’t rely on any new mathematical assumptions. The cost is made explicit: today a Schnorr signature is 64 bytes; SHRINCS has a minimum of 548 bytes, and in the worst case it can grow to 4,619 bytes. It also requires state: with the same private key, each time you sign the key grows a bit longer. If the device is lost, you need a fallback transaction of more than 5,000 bytes to recover the funds. In the BIP document, there’s also a line that has not been deleted: the security proof hasn’t been completed.

The third path goes even further. In the same week, Blockstream also released an evaluation of lattice-based signatures. Falcon-1024 is the most space-efficient in that category: public key plus signature together totals 3,073 bytes. But the research team itself didn’t recommend deploying it right now, and NIST’s standard text isn’t finalized yet. Their suggested order is: use the hash-based approach first, and only consider a hybrid once the Falcon standard is settled.

Once the routes are laid out, the shared point can’t be hidden. Besides QSB, the other two paths require changing the consensus layer. QSB doesn’t because it bypasses the entire P2P network: nodes don’t recognize such transactions, so miners have to receive and package them separately. Engineering-wise, Bitcoin today isn’t short of answers—it’s short of someone who has the authority to decide for the one-third of coins.

This contradiction has already been brought to the surface this year. In February, BIP-360 was merged into the official repository, defining Bitcoin’s first quantum-resistant address type. In April, Jameson Lopp and five other developers published BIP-361, setting a five-year sunset period for old signature types. Coins that haven’t been moved by the deadline will no longer be recognized by the network as spendable, including the batch widely believed to be Satoshi’s. Adam Back is explicitly against forced freezing; he argues that quantum-resistant functionality should be made an optional feature now, so people can move their own coins. The most accurate summary came from Marin Ivezic, who works on post-quantum security; he said the true constraint for Bitcoin’s quantum migration isn’t cryptography—it’s governance.

I agree with that judgment, and this week’s news provides a perfect footnote. Cryptographers have finished the multiple-choice part: QSB is what can already be used; SHRINCS is what can be brought into the protocol; and Falcon is the option that saves space. The remaining controversy no longer belongs to technical selection—it’s whether to set a deadline for the coins owned by some people. Bitcoin’s governance structure is capable of adding features—Taproot is proof of that. But when it comes to taking away rights, it has never succeeded. The original design was meant to block exactly this kind of thing.

This judgment can be falsified. Over the next few months, if BIP-360 or SHRINCS enters substantial activation discussions and rejects the kind of signaling schedule Taproot used that year, the governance bottleneck might not be as stuck as I imagine. Another signal could be even more direct on-chain: if large addresses that haven’t moved in more than ten years—and whose public keys are already exposed—start relocating in bulk, then the debate about freezing versus not freezing will automatically be downgraded. Neither of these has happened yet.

And there’s no need to be scared by this week alone. The market’s starting point for quantum anxiety is late March and June. Google Quantum AI improved the resource estimation for Shor’s algorithm on elliptic curves by an order of magnitude, and Justin Drake’s long write-up spread it widely in the community. Resource estimation improvement is not the same as actually building machines—the former only shifts the timetable forward a bit. #Bitcoin is now 79,891, and overall this week it’s still moving upward, basically unrelated to the quantum timeline. The value of $BTC is still running along with macro factors and the ETF schedule.

If you want to do something for yourself these days, you can check whether the commonly used address you control has spent funds on-chain. If it has, that means the public key is already exposed, and later—no matter which path Bitcoin chooses—the addresses that will need to be moved proactively are exactly this kind. It’s still far from that day, but knowing which side you’re on is more useful than remembering which week someone proposed which scheme.
$SOL beat the broader market. Today, both BTC and ETH are just grinding sideways, while the one that really moved was the one that “walked out on its own.” In the Chinese community, people credit the US spot ETF with the win. That explanation isn’t wrong, but it leaves out another thing happening on-chain on the very same day. Solana validators are voting, and the item being cut is exactly the kind of thing ETF buyers have been coming for. In the past 24 hours, SOLUSDT is up 7.22%, while BTC and ETH over the same period are only up by a little more than that. On-chain, Solana is, for the first time, moving a complete governance process on-chain: three proposals are being voted on at the same time, with all firepower focused on SGP-0002. It aims to raise Solana’s annual discount rate from 15% to 30%, doubling the speed at which inflation comes down. The endpoint stays the same, but the time to reach it is brought forward by three years. The accompanying SGP-0003 remakes transaction fees: it splits them into one payment as a bundling fee to block proposers, and another resource fee charged based on computational consumption and fully burned. These two things collide in the same week, but they point in opposite directions. As of August 26, the US spot SOL ETF’s cumulative net inflows are $1.26 billion, a record high. Of the nine products, Bitwise’s BSOL alone captures 77% of the cumulative net inflows. Morgan Stanley’s MSOL has a lower fee rate than BSOL, yet the money still went first to BSOL. It won by being the first to pass through on-chain staking rewards to holders. The money follows staking rewards, not much to do with the issuer’s branding. The ETF buys yield; what SGP-0002 is meant to do is to push that yield lower. The number most often cited in the promotional talking points is that 18.9 million fewer SOL will be issued over six years—sounds like a supply shock. Based on current protocol inflation, Solana issues about 64,000 new SOL per day. Over six years, the “missing” 18.9 million SOL is actually less than even the amount of additional issuance in just the past ten months. The proposal documents are more honest than the people reposting them: their stated scope is 2.6% below the current issuance schedule. Don’t overestimate the “burn” line either. Right now, the entire network burns only a little over 600 SOL per day. Based on the proposal’s own calculations, once the new rules run, that could reach 7,500 to 9,000 SOL. Sounds like a huge multiple, but set against more than 60,000 SOL of daily additional issuance, it’s still a small fraction. Both sides argue without ambiguity. On August 14, Helius’s mert publicly said that some so-called stakeholders have motives to profit for themselves by diluting coin holders through increased issuance; he believes this whole argument doesn’t hold water. Standing on the other side is Solana Company, listed on Nasdaq. In the second quarter, 99.4% of this company’s revenue came from staking rewards, and on August 21 it announced opposition to SGP-0002. Of course that stance has self-interest, but the issue it points to is real. If this cut goes through, the first pain will be felt by validators and institutions that survive on staking income. The proposal document itself also admits that under the new table, there will be a group of validators dropping earlier into a non-profitable position. Another listed Solana treasury company, SOL Strategies, took the opposite route: its four validators all voted in favor, with three votes each. Same kind of company that makes its living off SOL, one opposes and the other supports— the difference is that the former sells staking rewards, while the latter sells validator services. Grayscale’s estimate lands somewhere in the middle. They think that if both Ethereum and Solana’s token-economics changes in this cycle are implemented, Solana’s annual inflation would be pushed to just over 1% around 2031, scarcity would increase, and staking returns would move down in tandem. I support this proposal, but I don’t buy the promotional spin. Using increased issuance to pay staking participants’ modest nominal gains is essentially an internal transfer payment among token holders. Non-stakers get diluted; stakers get it back. The network doesn’t actually gain any new value as a result. Pushing this curve down is the right move. Changes on the supply schedule are limited; the pressure will transmit to the demand side. Once yields move lower, the 77% BSOL share will face a test: when that money originally came in, it bought SOL or it bought yield? I’m inclined to believe buying SOL has a larger share, because on August 26, the cheaper MSOL’s single-day net inflows already surpassed BSOL. Fees and channels themselves are also at work. After the accelerated discount rate takes effect: if the BSOL share keeps falling while total inflows don’t, then my view holds. If total inflows collapse along with the yield, then I was wrong. There’s also another risk: the voting rules for this round are fighting each other. The Governance FAQ requires that one-third of the network’s staked participation is present, and that two-thirds of the votes cast in favor must be “yes” for it to pass. In the proposal repository, it says there is no participation threshold: as long as the proportion of yes votes out of yes plus no votes is two-thirds, it passes; abstentions don’t count. In the August 26 snapshot, the yes votes are close to seven times the no votes. Under the repository’s rule, it passes easily; under the FAQ’s rule, the staked amount participating would be less than 24% of total active stake, far from one-third. Same vote, two rulebooks. #Solana ’s first time using on-chain governance hits this mismatch—its level of trouble isn’t lower than the proposal itself. The voting ends with the close of epoch 1023. The earliest estimate from the official side was Thursday. I ran the timing based on the current block production speed; the landing point should be sometime tomorrow night Beijing time. Epoch length already drifts with block production speed. Given the dispute over the accompanying interpretations of the situation, it most likely will come out within these next couple of days. $SOL Next, you can see whether the spot ETF money keeps going into BSOL. After the yield is cut, whether that 77% share stays put or disperses will explain who’s behind this inflow better than any talk about how many fewer coins are issued on the inflation chart.
$SOL beat the broader market. Today, both BTC and ETH are just grinding sideways, while the one that really moved was the one that “walked out on its own.” In the Chinese community, people credit the US spot ETF with the win. That explanation isn’t wrong, but it leaves out another thing happening on-chain on the very same day. Solana validators are voting, and the item being cut is exactly the kind of thing ETF buyers have been coming for.

In the past 24 hours, SOLUSDT is up 7.22%, while BTC and ETH over the same period are only up by a little more than that. On-chain, Solana is, for the first time, moving a complete governance process on-chain: three proposals are being voted on at the same time, with all firepower focused on SGP-0002. It aims to raise Solana’s annual discount rate from 15% to 30%, doubling the speed at which inflation comes down. The endpoint stays the same, but the time to reach it is brought forward by three years. The accompanying SGP-0003 remakes transaction fees: it splits them into one payment as a bundling fee to block proposers, and another resource fee charged based on computational consumption and fully burned.

These two things collide in the same week, but they point in opposite directions. As of August 26, the US spot SOL ETF’s cumulative net inflows are $1.26 billion, a record high. Of the nine products, Bitwise’s BSOL alone captures 77% of the cumulative net inflows. Morgan Stanley’s MSOL has a lower fee rate than BSOL, yet the money still went first to BSOL. It won by being the first to pass through on-chain staking rewards to holders. The money follows staking rewards, not much to do with the issuer’s branding. The ETF buys yield; what SGP-0002 is meant to do is to push that yield lower.

The number most often cited in the promotional talking points is that 18.9 million fewer SOL will be issued over six years—sounds like a supply shock. Based on current protocol inflation, Solana issues about 64,000 new SOL per day. Over six years, the “missing” 18.9 million SOL is actually less than even the amount of additional issuance in just the past ten months. The proposal documents are more honest than the people reposting them: their stated scope is 2.6% below the current issuance schedule. Don’t overestimate the “burn” line either. Right now, the entire network burns only a little over 600 SOL per day. Based on the proposal’s own calculations, once the new rules run, that could reach 7,500 to 9,000 SOL. Sounds like a huge multiple, but set against more than 60,000 SOL of daily additional issuance, it’s still a small fraction.

Both sides argue without ambiguity. On August 14, Helius’s mert publicly said that some so-called stakeholders have motives to profit for themselves by diluting coin holders through increased issuance; he believes this whole argument doesn’t hold water. Standing on the other side is Solana Company, listed on Nasdaq. In the second quarter, 99.4% of this company’s revenue came from staking rewards, and on August 21 it announced opposition to SGP-0002. Of course that stance has self-interest, but the issue it points to is real. If this cut goes through, the first pain will be felt by validators and institutions that survive on staking income. The proposal document itself also admits that under the new table, there will be a group of validators dropping earlier into a non-profitable position. Another listed Solana treasury company, SOL Strategies, took the opposite route: its four validators all voted in favor, with three votes each. Same kind of company that makes its living off SOL, one opposes and the other supports— the difference is that the former sells staking rewards, while the latter sells validator services. Grayscale’s estimate lands somewhere in the middle. They think that if both Ethereum and Solana’s token-economics changes in this cycle are implemented, Solana’s annual inflation would be pushed to just over 1% around 2031, scarcity would increase, and staking returns would move down in tandem.

I support this proposal, but I don’t buy the promotional spin. Using increased issuance to pay staking participants’ modest nominal gains is essentially an internal transfer payment among token holders. Non-stakers get diluted; stakers get it back. The network doesn’t actually gain any new value as a result. Pushing this curve down is the right move. Changes on the supply schedule are limited; the pressure will transmit to the demand side. Once yields move lower, the 77% BSOL share will face a test: when that money originally came in, it bought SOL or it bought yield? I’m inclined to believe buying SOL has a larger share, because on August 26, the cheaper MSOL’s single-day net inflows already surpassed BSOL. Fees and channels themselves are also at work. After the accelerated discount rate takes effect: if the BSOL share keeps falling while total inflows don’t, then my view holds. If total inflows collapse along with the yield, then I was wrong.

There’s also another risk: the voting rules for this round are fighting each other. The Governance FAQ requires that one-third of the network’s staked participation is present, and that two-thirds of the votes cast in favor must be “yes” for it to pass. In the proposal repository, it says there is no participation threshold: as long as the proportion of yes votes out of yes plus no votes is two-thirds, it passes; abstentions don’t count. In the August 26 snapshot, the yes votes are close to seven times the no votes. Under the repository’s rule, it passes easily; under the FAQ’s rule, the staked amount participating would be less than 24% of total active stake, far from one-third. Same vote, two rulebooks. #Solana ’s first time using on-chain governance hits this mismatch—its level of trouble isn’t lower than the proposal itself.

The voting ends with the close of epoch 1023. The earliest estimate from the official side was Thursday. I ran the timing based on the current block production speed; the landing point should be sometime tomorrow night Beijing time. Epoch length already drifts with block production speed. Given the dispute over the accompanying interpretations of the situation, it most likely will come out within these next couple of days.

$SOL Next, you can see whether the spot ETF money keeps going into BSOL. After the yield is cut, whether that 77% share stays put or disperses will explain who’s behind this inflow better than any talk about how many fewer coins are issued on the inflation chart.
Verified
The hardest-to-read part of Nvidia’s quarterly report isn’t in the income statement. The fact that revenue has doubled is already baked in by the time the seller-models start their calls—there’s no real suspense. The disagreement is concentrated in the footnotes on the following pages: whom the company has guaranteed leases for, how many years’ worth of purchase orders it has signed, and which customers it has extended payment terms to. Put these three items together, and they explain how the money from this round of AI capex circulates better than any year-over-year figure ever could. Let’s get what’s on the surface out of the way. In the second quarter, revenue was $96.2 billion, with data center accounting for more than 90%. Gross margin held steady at above 70%, and the third-quarter guidance came in at $108 billion, higher than the Street’s consensus. These numbers aren’t controversial—they just confirm something that was already known: Blackwell Ultra is still ramping up, and whatever capacity it can produce, it sells. The new element was a table CFO Colette Kress chose to present proactively. Nvidia’s supply and production commitments jumped from $119 billion in the prior quarter to $279 billion, an increase of $160 billion in a single quarter. Her explanation was that the money is mainly going into memory procurement. The explanation is plausible, but the implications are heavier than what it sounds like. Memory contracts are long-term—when the deal is signed, both price and quantity are locked. In effect, Nvidia is betting on the shape of demand over the next three years, and it has already paid a deposit. On the call, Kress said that instead of letting this table become a hanging question, it should be made clear outright. Accounts receivable at quarter-end was $63.1 billion, and DSO stretched from 45 days the previous quarter to 60 days. In the 10-Q, the company spells out the standard: for large purchases from investment-grade customers, the payment terms can be extended to 90 days, and up to a year, to align with customers’ large data center construction. The same filing also includes another line noting that the combined receivables balance for five direct customers accounts for 70%. Read these two lines together, and the picture comes into focus. Chips ship, revenue is recognized in the period, but the cash arrives only three months to a year later—and the unpaid amounts are concentrated among a few customers. Nvidia is using its own balance sheet to help customers finance working capital turnover. This isn’t automatically “bad debt,” and investment-grade customers will likely pay—but it shifts part of those customers’ credit risk onto Nvidia’s books. In August, Nvidia also signed a guarantee with a cap of $105 billion. The guarantee covers an SB Energy campus in Pike County, Ohio, supporting the credit for land, power, and the factory, with the tenant being an OpenAI affiliate entity. The scale is roughly 4.25 gigawatts. This guarantee isn’t an investment, and it isn’t a cash outlay. It will only take effect gradually as the data center is built in phases and the lease becomes effective. The first tranche is expected in fiscal 2029; each time OpenAI pays rent for a tranche, the exposure decreases a bit. In exchange, the campus will deploy only Nvidia equipment. Huang Renxun has long denied that this is cyclical financing. His rationale is that rent is paid by OpenAI, and Nvidia locks in resources only where it can see demand. On the call, Kress added one more point: the demand such cooperation can generate is roughly a quarter of next year’s business, and Nvidia’s platform is general-purpose and durable, making the risk therefore controllable. The counterargument also comes with names and titles. Bill Birmingham of Rex Financial said the guarantee amount shrank from the more than $200 billion level previously rumored in the market down to $105 billion. The market read it as demand shrinking, not as risk falling. Nvidia, he said, lost $250 billion in market value because of this. Melissa Otto of S&P Global Visible Alpha took the other side; she said the whole market was shocked by the 70% figure. The 70% refers to the annual guidance Huang Renxun gave as an exception during the call: revenue growth of 70% in fiscal 2028, while the Street consensus was only 44%. He also added that this was calculated based on supply capability, and that actual demand would be higher than that. Those words were the turning point in the trading that night. In the first hour after the earnings release, the spot order on Binance priced at $NVDAB was briefly smashed to just above 204. After the call started, it kept being pulled back, and within 24 hours it was up 3.2%. In the same #Nvidia earnings report, the income statement makes people tense, the forward-looking guidance makes people feel reassured, and what lies in between is how to read these footnotes. My own judgment leans toward acknowledging Huang’s supply-logic explanation. Memory is the toughest bottleneck right now. Locking supply three years in advance makes sense commercially, and the $279 billion figure looks more like抢产能—grabbing capacity—than hard-building demand. But I don’t accept the claim that risk hasn’t changed. In the same quarter, Nvidia’s cash flow from operating activities was $24.1 billion, and GAAP net profit was $59.7 billion—more than double the gap. The shortfall mainly came from accounts receivable and inventory. It also issued $25 billion of senior unsecured bonds. For a company with ample cash, extending payment terms to customers while still needing to issue debt indicates that the funding pressure from this expansion is already starting to transfer onto the company itself. There’s also an easy-to-miss accounting perspective. This quarter, GAAP earnings per share were $2.46, while non-GAAP was only $2.22. GAAP was actually higher. The difference came from $7.8 billion in equity investment gains, which were unrealized gains from Nvidia’s holdings of equity in AI companies. Non-GAAP excludes those. When the valuations of the companies Nvidia invests in rise, it directly lifts Nvidia’s reported book profit. This link is a plus item in an up-cycle—and when the direction reverses, it’s just as responsive. Under what circumstances would I admit I’m wrong? If over the next one or two quarters DSO shrinks back toward the 45-days range, and operating cash flow catches up to net profit again, then this payment-term loosening would just be a timing difference for a few large orders. In that case, my concern would be overinterpretation. Conversely, if DSO keeps moving upward, and the concentration of receivables continues to exceed 70%, then the “investment-grade customers” wording will carry too much weight, and the market will eventually demand that Nvidia clearly disclose the names of these few customers. The next quarter’s focus won’t be whether revenue can reach $108 billion—it will most likely. Watch how these tables in the 10-Q change: whether supply commitments add more, which direction DSO moves, and whether another name shows up in the guarantee schedule. The main text of the earnings report is written for everyone; the footnotes are written for people willing to spend an extra twenty minutes reading.
The hardest-to-read part of Nvidia’s quarterly report isn’t in the income statement. The fact that revenue has doubled is already baked in by the time the seller-models start their calls—there’s no real suspense. The disagreement is concentrated in the footnotes on the following pages: whom the company has guaranteed leases for, how many years’ worth of purchase orders it has signed, and which customers it has extended payment terms to. Put these three items together, and they explain how the money from this round of AI capex circulates better than any year-over-year figure ever could.

Let’s get what’s on the surface out of the way. In the second quarter, revenue was $96.2 billion, with data center accounting for more than 90%. Gross margin held steady at above 70%, and the third-quarter guidance came in at $108 billion, higher than the Street’s consensus. These numbers aren’t controversial—they just confirm something that was already known: Blackwell Ultra is still ramping up, and whatever capacity it can produce, it sells.

The new element was a table CFO Colette Kress chose to present proactively. Nvidia’s supply and production commitments jumped from $119 billion in the prior quarter to $279 billion, an increase of $160 billion in a single quarter. Her explanation was that the money is mainly going into memory procurement. The explanation is plausible, but the implications are heavier than what it sounds like. Memory contracts are long-term—when the deal is signed, both price and quantity are locked. In effect, Nvidia is betting on the shape of demand over the next three years, and it has already paid a deposit. On the call, Kress said that instead of letting this table become a hanging question, it should be made clear outright.

Accounts receivable at quarter-end was $63.1 billion, and DSO stretched from 45 days the previous quarter to 60 days. In the 10-Q, the company spells out the standard: for large purchases from investment-grade customers, the payment terms can be extended to 90 days, and up to a year, to align with customers’ large data center construction. The same filing also includes another line noting that the combined receivables balance for five direct customers accounts for 70%.

Read these two lines together, and the picture comes into focus. Chips ship, revenue is recognized in the period, but the cash arrives only three months to a year later—and the unpaid amounts are concentrated among a few customers. Nvidia is using its own balance sheet to help customers finance working capital turnover. This isn’t automatically “bad debt,” and investment-grade customers will likely pay—but it shifts part of those customers’ credit risk onto Nvidia’s books.

In August, Nvidia also signed a guarantee with a cap of $105 billion. The guarantee covers an SB Energy campus in Pike County, Ohio, supporting the credit for land, power, and the factory, with the tenant being an OpenAI affiliate entity. The scale is roughly 4.25 gigawatts. This guarantee isn’t an investment, and it isn’t a cash outlay. It will only take effect gradually as the data center is built in phases and the lease becomes effective. The first tranche is expected in fiscal 2029; each time OpenAI pays rent for a tranche, the exposure decreases a bit. In exchange, the campus will deploy only Nvidia equipment.

Huang Renxun has long denied that this is cyclical financing. His rationale is that rent is paid by OpenAI, and Nvidia locks in resources only where it can see demand. On the call, Kress added one more point: the demand such cooperation can generate is roughly a quarter of next year’s business, and Nvidia’s platform is general-purpose and durable, making the risk therefore controllable.

The counterargument also comes with names and titles. Bill Birmingham of Rex Financial said the guarantee amount shrank from the more than $200 billion level previously rumored in the market down to $105 billion. The market read it as demand shrinking, not as risk falling. Nvidia, he said, lost $250 billion in market value because of this. Melissa Otto of S&P Global Visible Alpha took the other side; she said the whole market was shocked by the 70% figure.

The 70% refers to the annual guidance Huang Renxun gave as an exception during the call: revenue growth of 70% in fiscal 2028, while the Street consensus was only 44%. He also added that this was calculated based on supply capability, and that actual demand would be higher than that. Those words were the turning point in the trading that night. In the first hour after the earnings release, the spot order on Binance priced at $NVDAB was briefly smashed to just above 204. After the call started, it kept being pulled back, and within 24 hours it was up 3.2%. In the same #Nvidia earnings report, the income statement makes people tense, the forward-looking guidance makes people feel reassured, and what lies in between is how to read these footnotes.

My own judgment leans toward acknowledging Huang’s supply-logic explanation. Memory is the toughest bottleneck right now. Locking supply three years in advance makes sense commercially, and the $279 billion figure looks more like抢产能—grabbing capacity—than hard-building demand. But I don’t accept the claim that risk hasn’t changed. In the same quarter, Nvidia’s cash flow from operating activities was $24.1 billion, and GAAP net profit was $59.7 billion—more than double the gap. The shortfall mainly came from accounts receivable and inventory. It also issued $25 billion of senior unsecured bonds. For a company with ample cash, extending payment terms to customers while still needing to issue debt indicates that the funding pressure from this expansion is already starting to transfer onto the company itself.

There’s also an easy-to-miss accounting perspective. This quarter, GAAP earnings per share were $2.46, while non-GAAP was only $2.22. GAAP was actually higher. The difference came from $7.8 billion in equity investment gains, which were unrealized gains from Nvidia’s holdings of equity in AI companies. Non-GAAP excludes those. When the valuations of the companies Nvidia invests in rise, it directly lifts Nvidia’s reported book profit. This link is a plus item in an up-cycle—and when the direction reverses, it’s just as responsive.

Under what circumstances would I admit I’m wrong? If over the next one or two quarters DSO shrinks back toward the 45-days range, and operating cash flow catches up to net profit again, then this payment-term loosening would just be a timing difference for a few large orders. In that case, my concern would be overinterpretation. Conversely, if DSO keeps moving upward, and the concentration of receivables continues to exceed 70%, then the “investment-grade customers” wording will carry too much weight, and the market will eventually demand that Nvidia clearly disclose the names of these few customers.

The next quarter’s focus won’t be whether revenue can reach $108 billion—it will most likely. Watch how these tables in the 10-Q change: whether supply commitments add more, which direction DSO moves, and whether another name shows up in the guarantee schedule. The main text of the earnings report is written for everyone; the footnotes are written for people willing to spend an extra twenty minutes reading.
Tesla's Cybercab will make its official debut in Austin next week—no steering wheel, and no pedals. Nevada’s regulators had just, before that, loosened its grip on it in Las Vegas by allowing it to operate paid, driverless rides. This was supposed to be a fairly clean bullish story. But when the market opened on Monday, the entire rally from the previous week was fully given back. $TSLAB hit a mid-session high of 366.42 last Friday, closed at 349.53 on Monday, then traded sideways for the following few days, and is now hovering around 349. The pricing window for this permission-related news is only a day and a bit. With the same news, bulls see it as a commercialization turning point; the seller’s money is treated as a one-time positive catalyst, and the gap in between is what this article is set to unpack. That Nevada Department of Transportation Services vote raised Tesla’s cap on driverless taxi vehicles in Clark County from 10 to 5,000, effective for the next year. At the same meeting, Waymo and Uber also received licenses, but at a smaller scale. This is the ceiling for permissions—it’s a different thing from the number of vehicles already deployed. How big is the difference? Tesla’s own people put it more directly than anyone else. After the meeting, Cybercab chief engineer Eric Early said that 5,000 has always been the upper limit they were given. By this time next year, Tesla won’t be able to deploy 5,000 vehicles either; he said the bottleneck isn’t technology. He added that being able to do a little over 2,500 vehicles would already make them very satisfied. For a company’s chief engineer to proactively push down expectations on the very day it obtained the license—nobody says something like that casually. The event scheduled for September 3 is set in Austin. What’s confirmed so far is that it will be invitation-only with the entire session livestreamed. Seats were given to the highest-scoring group of Robotaxi passengers from an in-app raffle. Tesla’s Model Y driverless cars have already been running for a while in several cities in Texas and Florida, and this event is more like inserting the Cybercab into a fleet that’s already in motion. The “getting it started” piece has happened long ago. A launch event that puts a new vehicle on stage, versus an operational change that can be recorded in the income statement—those should be two different prices in the stock market. The reason behind Monday’s long black candle wasn’t actually about autonomous driving. News about a new round of auto tariffs weighed down the entire U.S. auto-plant sector. At the same time, China announced a recall covering nearly 3 million vehicles. The reason: after severe collisions and electrical circuit failures, the mechanical emergency door handles are not easy to find, which could block escape and rescue. The numbers look alarming, but the remediation is limited—OTA software pushes plus warning labels. The actual money being paid out is limited. This round of checks on hidden door handles targeted multiple automakers at the same time; Tesla is simply the largest by market size among them. In Monday’s drop, the sentiment drag was more than the bookkeeping loss on paper. To judge how far robotaxis have progressed, mileage is the toughest set of data. Tesla’s Q2 earnings call revealed that cumulative supervised/unsupervised driving exceeded 380,000 miles. The company said that so far there hasn’t been any noteworthy accident. In the same metric for passenger-carrying, Waymo’s driverless ride miles by mid-year have already approached 200 million miles. The company said those miles can still keep rolling up by a large margin each week. Yet the gap between 380,000 and 200 million is a difference in scale, not the kind of small remaining segment left on a progress bar. Robotaxis account for less than 0.5% of Tesla’s revenue last year, but in Morningstar’s valuation model they represent more than 30%. That firm’s current fair value estimate is $450—placing today’s price in the undervalued range. But this is a model from one institution; the market hasn’t formed that consensus. On the bullish side, the more aggressive view comes from Wedbush’s Dan Ives, with a $600 target price. His logic is that Tesla sells cars at near-cost prices to lock in the installed base, then recovers gross margin through software and mobility subscriptions. The most specific argument from the bears comes from Gordon Johnson of GLJ. He counted an active Robotaxi fleet of only 31 vehicles; the number truly operating in an unsupervised manner is even smaller. They are all constrained within geofenced areas, and remote human staff are always ready to take over. He cites crowdsourced data to claim that on FSD v14, models like the AI4 need takeover about once every 40 miles. He then pulled up collision records over the past year involving safety drivers in the vehicle. His conclusion is that the market’s valuation for robotaxis and the level of revenue this business can generate right now are not on the same scale. His reliance on crowdsourced data is a soft spot, and Tesla also hasn’t provided better public numbers to rebut either the fleet size or the takeover interval. I agree with Morningstar’s framework. Robotaxis are indeed the main driver of this stock’s valuation; the auto-selling portion can’t currently support that price. In Q2 revenue, the company hit a record high, but operating margin fell to 1.4%. Earnings per share were far below market expectations, and capital expenditures are still moving higher. The core business is having cash eaten away along the autonomous-driving line; the pace of monetization must outpace the pace of consumption. But on the timeline, I weigh Early’s statements more than Ives’s target price. For the $600 case, the subscription revenue and fleet revenue must bring gross margin back in next year. Early’s original wording indicates that the capacity and operations side aren’t ready yet—and that side can’t be accelerated by just writing code. So on September 3, there is only one direction of signals that can change the judgment: whether there is a safety driver in the car, and whether the ride is actually paid. If either of those two points truly lands, Johnson’s argument will immediately weaken significantly, and Nevada’s 5,000-vehicle cap will shift from paper to a production-scheduling issue. If what’s unveiled on stage is a vehicle without a steering wheel, paired with a livestream segment, then September 3 is a launch event—not a commercialization timing milestone. The downside risk cuts just as sharply in the opposite direction. Musk himself said on the call that safety is the biggest constraint right now; one serious accident with casualties can become a global headline. Bad news along this line doesn’t need to be proportional—one incident is enough. The string of updates tied to #Robotaxi over the next two weeks means that rather than fixating on daily ups and downs, it’s better to record the safety-driver issue in your notebook. Whether the valuation model can hold hinges on that single variable.
Tesla's Cybercab will make its official debut in Austin next week—no steering wheel, and no pedals. Nevada’s regulators had just, before that, loosened its grip on it in Las Vegas by allowing it to operate paid, driverless rides. This was supposed to be a fairly clean bullish story. But when the market opened on Monday, the entire rally from the previous week was fully given back.

$TSLAB hit a mid-session high of 366.42 last Friday, closed at 349.53 on Monday, then traded sideways for the following few days, and is now hovering around 349. The pricing window for this permission-related news is only a day and a bit. With the same news, bulls see it as a commercialization turning point; the seller’s money is treated as a one-time positive catalyst, and the gap in between is what this article is set to unpack.

That Nevada Department of Transportation Services vote raised Tesla’s cap on driverless taxi vehicles in Clark County from 10 to 5,000, effective for the next year. At the same meeting, Waymo and Uber also received licenses, but at a smaller scale. This is the ceiling for permissions—it’s a different thing from the number of vehicles already deployed. How big is the difference? Tesla’s own people put it more directly than anyone else. After the meeting, Cybercab chief engineer Eric Early said that 5,000 has always been the upper limit they were given. By this time next year, Tesla won’t be able to deploy 5,000 vehicles either; he said the bottleneck isn’t technology. He added that being able to do a little over 2,500 vehicles would already make them very satisfied. For a company’s chief engineer to proactively push down expectations on the very day it obtained the license—nobody says something like that casually.

The event scheduled for September 3 is set in Austin. What’s confirmed so far is that it will be invitation-only with the entire session livestreamed. Seats were given to the highest-scoring group of Robotaxi passengers from an in-app raffle. Tesla’s Model Y driverless cars have already been running for a while in several cities in Texas and Florida, and this event is more like inserting the Cybercab into a fleet that’s already in motion. The “getting it started” piece has happened long ago. A launch event that puts a new vehicle on stage, versus an operational change that can be recorded in the income statement—those should be two different prices in the stock market.

The reason behind Monday’s long black candle wasn’t actually about autonomous driving. News about a new round of auto tariffs weighed down the entire U.S. auto-plant sector. At the same time, China announced a recall covering nearly 3 million vehicles. The reason: after severe collisions and electrical circuit failures, the mechanical emergency door handles are not easy to find, which could block escape and rescue. The numbers look alarming, but the remediation is limited—OTA software pushes plus warning labels. The actual money being paid out is limited. This round of checks on hidden door handles targeted multiple automakers at the same time; Tesla is simply the largest by market size among them. In Monday’s drop, the sentiment drag was more than the bookkeeping loss on paper.

To judge how far robotaxis have progressed, mileage is the toughest set of data. Tesla’s Q2 earnings call revealed that cumulative supervised/unsupervised driving exceeded 380,000 miles. The company said that so far there hasn’t been any noteworthy accident. In the same metric for passenger-carrying, Waymo’s driverless ride miles by mid-year have already approached 200 million miles. The company said those miles can still keep rolling up by a large margin each week. Yet the gap between 380,000 and 200 million is a difference in scale, not the kind of small remaining segment left on a progress bar.

Robotaxis account for less than 0.5% of Tesla’s revenue last year, but in Morningstar’s valuation model they represent more than 30%. That firm’s current fair value estimate is $450—placing today’s price in the undervalued range. But this is a model from one institution; the market hasn’t formed that consensus. On the bullish side, the more aggressive view comes from Wedbush’s Dan Ives, with a $600 target price. His logic is that Tesla sells cars at near-cost prices to lock in the installed base, then recovers gross margin through software and mobility subscriptions.

The most specific argument from the bears comes from Gordon Johnson of GLJ. He counted an active Robotaxi fleet of only 31 vehicles; the number truly operating in an unsupervised manner is even smaller. They are all constrained within geofenced areas, and remote human staff are always ready to take over. He cites crowdsourced data to claim that on FSD v14, models like the AI4 need takeover about once every 40 miles. He then pulled up collision records over the past year involving safety drivers in the vehicle. His conclusion is that the market’s valuation for robotaxis and the level of revenue this business can generate right now are not on the same scale. His reliance on crowdsourced data is a soft spot, and Tesla also hasn’t provided better public numbers to rebut either the fleet size or the takeover interval.

I agree with Morningstar’s framework. Robotaxis are indeed the main driver of this stock’s valuation; the auto-selling portion can’t currently support that price. In Q2 revenue, the company hit a record high, but operating margin fell to 1.4%. Earnings per share were far below market expectations, and capital expenditures are still moving higher. The core business is having cash eaten away along the autonomous-driving line; the pace of monetization must outpace the pace of consumption. But on the timeline, I weigh Early’s statements more than Ives’s target price. For the $600 case, the subscription revenue and fleet revenue must bring gross margin back in next year. Early’s original wording indicates that the capacity and operations side aren’t ready yet—and that side can’t be accelerated by just writing code.

So on September 3, there is only one direction of signals that can change the judgment: whether there is a safety driver in the car, and whether the ride is actually paid. If either of those two points truly lands, Johnson’s argument will immediately weaken significantly, and Nevada’s 5,000-vehicle cap will shift from paper to a production-scheduling issue. If what’s unveiled on stage is a vehicle without a steering wheel, paired with a livestream segment, then September 3 is a launch event—not a commercialization timing milestone.

The downside risk cuts just as sharply in the opposite direction. Musk himself said on the call that safety is the biggest constraint right now; one serious accident with casualties can become a global headline. Bad news along this line doesn’t need to be proportional—one incident is enough. The string of updates tied to #Robotaxi over the next two weeks means that rather than fixating on daily ups and downs, it’s better to record the safety-driver issue in your notebook. Whether the valuation model can hold hinges on that single variable.
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