海盗鸭

About Broadcom, what the market argues about is never demand—it’s supply. The AI business of $AVGOB —XPU chips custom-built for a few of the largest cloud providers—has orders already queued up to the absolute production capacity limit. The real bottleneck is not something you can immediately expand by just throwing money at it: it’s the advanced packaging stage. This leads to a counterintuitive conclusion: during an AI boom cycle, supply constraints are actually a good thing. With such constrained supply, order visibility is extremely high, and revenue outlook for the next few quarters is clearer than for most chip companies. But the other side of the coin is margin pressure and cash-flow stress: expanding capacity requires capital, and customer-specific customization discounting is also eroding profits. Existing analysis has pointed out that this is its biggest risk going forward. My view is that this model is a sweet kind of frustration in a bull market. But once market sentiment weakens, the same facts will be reframed just as quickly as a “growth ceiling.” When the stock price starts to drop then, it won’t be gentle. Which side are you on: treating the capacity bottleneck as a moat, or as a hidden risk? Share your reasoning.

In the U.S. AI chip sector, the controversy around $AMDB isn’t exactly low: Piper Sandler has issued an aggressive forecast—by 2030, AMD’s earnings per share could grow at a compound annual rate of about 65%. What does 65% compounding over five years really mean? $1 could turn into roughly $12, representing more than a tenfold increase in EPS. There are two assumptions underpinning this curve: first, AI accelerator business will capture a significant share from the current leader; and second, server CPUs will keep steadily advancing. I’m naturally wary of any super-long-term predictions: if, within five years, AMD’s MI-series misses even a single generation, or if cloud providers’ in-house chip development ramps up even faster, this curve would break. Still, looking at it another way, the fact that Wall Street is willing to put 65% into a formal report suggests that AMD has already moved from being merely “a shadow of the leader” to a company with its own independent narrative. Do you believe this number, or do you think it’s just another “perpetual-motion” report?

The signals coming from the U.S. Treasury market are becoming increasingly unsettling: long-term yields remain stubbornly high, and worries about the federal budget deficit and the scale of new debt issuance continue to intensify. Some analysts have already described this series of signs as a fairly significant warning. Whenever traditional safe-haven assets begin to feel “unsafe” on their own, discussions about Bitcoin tend to heat up—what Satoshi Nakamoto wrote years ago in the genesis block was that headline about bank bailouts. The very motive behind its creation was itself a response to the old system.

The logic isn’t complicated: if volatility in U.S. Treasuries increases and investors start to re-evaluate sovereign-debt risk, scarce assets and decentralized narratives may have an opportunity to absorb some of the safe-haven demand. Of course, Bitcoin has still mostly been treated as a risk asset; in the short term, it more often follows liquidity swings. It’s not realistic to expect it to immediately replace U.S. Treasuries. But this round of tension in the bond market is indeed adding new commentary to Bitcoin’s long-term story. Do you agree with the saying “U.S. Treasury risk equals Bitcoin opportunity”? Let’s talk in the comments. $BTC

Today is September 15, and the U.S. Senate is holding a procedural vote on the Clarity Act. First, let’s make the weight of this clear: at the core of this digital asset market bill is drawing the regulatory boundary for digital assets between the SEC and the CFTC—what counts as a security, what counts as a commodity, and who oversees the secondary market. It previously passed the House with a big bipartisan margin of 294 to 134; the real challenge has always been in the Senate.

What is being voted on today is not the bill itself, but the "motion to proceed"—the ticket that gets the bill onto the full chamber’s debate docket. This ticket requires 60 votes, meaning the minority party has an effective veto power, and every vote must be negotiated across party lines.

Why does this matter so much for the market segment? Because the four words "regulatory clarity" are the final missing piece for institutional capital to move in. Spot ETFs address the question of "can you buy"; Clarity addresses "what rules you play by after you buy." If the push goes smoothly, the most direct beneficiaries would be: mainstream assets with the strongest compliance expectations, $BTC and $ETH ; custody and RWA infrastructure; and the altcoin segment that has long been struggling under "securities classification."

Procedurally, even if it clears 60 votes today, there will still be a tug-of-war over amendments and a final vote afterward—possibly weeks more. But the directional signal will be priced in at the moment of the vote. Conversely, if it fails, a short-term sentiment shock is unavoidable, though the bill won’t die; Congress will bring it back during the fall agenda.

Do you think they can round up the 60 votes this time? Place your bet in the comments section.

#ClarityAct September 15 procedural vote

The Wall Street Journal reports that Tesla has regained most of its share of the U.S. electric-vehicle market, and the reason is quite interesting: it’s not that Tesla sells that much more aggressively itself—rather, its competitors have collectively pulled back. Several automakers have cut or scaled back their EV model lines, and the space that opened up was handed back to Tesla. Even more interesting is the timing: just as everyone was discussing slowing EV demand and companies were shrinking their investments in their earnings reports, market share was quietly re-concentrating. The EV market has shifted from a “bandwagon everyone wants in on” to a business where “only those who can do the numbers stay.” In between was nothing more than the reality of subsidy rollbacks and demand polarization over these past two years. For $TSLAB , market share has always been the anchor of the valuation narrative: when it moves back toward being the sole dominant player, the bearish argument that demand has peaked has to be weighed more carefully. But leading in market share and having healthy profit margins are two different things—the costs of a price war will ultimately show up in the financial statements. As for the next turning point in U.S. electric vehicles, who do you think will trigger it?

A number to feel how powerful Apple’s cash machine is: during Tim Cook’s 15 years as CEO, Apple has cumulatively repurchased more than $880 billion of its own shares. What does $880 billion even mean? It’s more than the full-year GDP of most countries, and higher than the total market value of many large tech companies. The repurchased shares are directly retired, which means the number of outstanding shares keeps shrinking—so even if the company’s overall value stands still, each share represents a larger slice. Add dividends on top, and it becomes one of the most stable shareholder-return engines of the past decade-plus. The confidence behind this is that the consumer electronics business generates steady cash flows, allowing Apple to avoid the painful trade-off between “keep investing” and “reward shareholders.” Some criticize buybacks as financial engineering rather than innovation, while others argue this is exactly the capital discipline a mature company should have. $AAPLB —this $880 billion: do you think it’s value creation or value moving?

Anthropic has set its IPO on Nasdaq rather than the New York Stock Exchange that most people had previously expected.

This choice itself is a signal. Nasdaq has long been the home base for tech and growth stocks—from chips to software to AI. It has greater trading depth, and market makers have the richest experience in pricing high-volatility growth companies. The NYSE, on the other hand, has won a number of large tech company IPOs over the past two years, and the market had largely been betting on that. By choosing Nasdaq, Anthropic has made its self-positioning very clear: “I’m a pure tech company—please value me as a tech company.”

Even more noteworthy is the scale. Reports say that in its most recent funding round, Anthropic’s valuation was already in the $100 billion range (about $183 billion). If it issues at the higher range that has circulated in the market, this would become one of the largest IPOs in history. For this Claude AI company, the meaning of going public is also very practical: spending on compute for training and inference is a cash-eating machine. Beyond equity financing, the public market is a deeper pool of capital.

For ordinary users, there’s really only one thing you can do right now: wait for the S-1. The prospectus will be the first to disclose real revenue, growth rate, profit margins, and cash burn—only then does the moment come to turn “AI belief” into numbers. Until then, all valuations are just narrative from the primary market.

Look one layer deeper: the competition among exchanges for AI companies is similar to the last decade’s battle for internet companies—Nasdaq’s win with Anthropic is essentially抢拿 this era’s core “asset label.”

With the AI company IPO wave here, will you pay attention to their prospectuses? Which number are you most eager to see?

#AnthropicChoosesNasdaqIPO

The number of holders of tokenized stocks grew by 619.1%—the figure sounds outrageous, but when you break it down, the logic isn’t mysterious.

First, let’s clarify the product: tokenized stocks are on-chain mappings of traditional shares. The underlying real stocks are held by a licensed institution, and tokens corresponding to those stocks are then issued on the blockchain. The token you hold represents a claim on that pool of shares, not direct shareholder status in the company. Starting around mid-2025, a batch of compliant issuers moved dozens of U.S. stocks and ETFs onto public blockchains. Everything from tech stocks like $NVDAB to index ETFs is included. Combine that with three things traditional markets can’t do—7×24 trading, fractionalized purchases, and instant settlement on-chain—and the number of holders naturally rises.

So the 619.1% doesn’t reflect a “profit-making effect.” What it really shows is the scale of a “try-it-out” effect: the base is small, so the growth rate looks dramatically scary.

If you want to participate, the four things that ordinary users should truly verify are:
1. Who is the issuer? Where are the underlying stocks custodied, and is there a 1:1 reserve proof?
2. The mechanism for handling when the token deviates from its net asset value—historically, tokenized assets have脱锚ed in extreme market conditions. What you buy on-chain might not be “stock,” but “sentiment.”
3. Your legal status—many products don’t come with shareholder rights like voting.
4. Whether your jurisdiction allows you to hold this kind of asset.

My view: tokenization is one of the most concrete tracks in the RWA (Real-World Assets) narrative, but within today’s growth rates, there’s definitely speculative air. Only issuers that survive after the tide goes out and any de-pegging events have already happened are worth trusting long-term.

Will you ever encounter tokenized stocks? What are you most worried about? Let’s discuss in the comments.

#TokenizedStockHoldersGrew619.1%

Privacy DeFi has a new breakthrough: after Zama and Morpho’s first confidential vault TVL surpassed $40 million, the product line has officially expanded. Users can now access 12 existing Morpho vaults on Ethereum in a confidential way, along with 4 newly built fully confidential vaults. In addition, a private swap feature has been launched. The technical core is Fully Homomorphic Encryption (FHE): your deposit amount, positions, and yields are all encrypted, and computation is carried out directly on the ciphertext. Anyone on-chain cannot see how much you borrowed or how much you earned. This hits one of DeFi’s biggest pain points: full transparency. Whale positions are monitored, sniped, and even targeted for liquidation—these are the costs of transparent ledgers. If FHE can run at an acceptable cost, the final privacy piece for institutional capital to enter DeFi will be in place. $40 million is only the beginning—this direction for the $ETH ecosystem is worth ongoing attention. Would you be willing to accept the extra costs that FHE brings for privacy? $ETH

Tom Lee put it very bluntly this time: Ethereum’s killer app isn’t some breakout dApp; it’s becoming the settlement layer for Wall Street and artificial intelligence. The weight of this judgment lies in the fact that it comes from a traditional research institution like Fundstrat—when Wall Street starts treating $ETH as financial infrastructure rather than a speculative asset, the narrative has already changed. The logic isn’t complicated: institutions issue bonds, funds need settlement, and AI Agents need machine-to-machine payments—all of which require a neutral, permissionless clearing network, and Ethereum is currently the most mature option for these needs. Even more noteworthy is that he made this statement while the broader market was weakening, yet ETH held up against the trend. Money votes with its feet—more convincing than any research report. A killer app is never designed; it’s put to use. Do you think the Wall Street settlement narrative can support ETH’s next valuation upswing?

Liquidations worth $674 million across the entire web in 24 hours—let’s lay out the facts first: in this sell-off, $BTC was the first to break below a key support level. Long positions were wiped out in a coordinated way. In the past 24 hours, total liquidations across the whole market were about $674 million, and the vast majority were long positions—people betting on a rise got taken out in one fell swoop. $BTC and $ETH account for the two largest portions, but what’s truly brutal is the altcoins: mainstream coins fell roughly in the 3%–5% range, while some smaller alts and meme coins dropped 10%–20%. As a result, liquidation amounts relative to their market caps were dramatically amplified.

Why does this happen? Liquidation is never the cause—it’s the result. The mechanism is simple: price drops → the risk-control engine forces liquidations → liquidations themselves add further sell pressure → price keeps falling → the next wave of forced liquidations is triggered. This is what people call the “waterfall.” It doesn’t require any new news—only enough leverage in the market.

And leverage is exactly what had built up the most over the previous few weeks: funding rates staying persistently elevated and open interest rising continuously indicate that not only were more people going long, but doing it at a higher cost. At this point, any macro disturbance—hawkish remarks, economic data that dampens rate-cut expectations, or large holders moving coins to exchanges—could be enough to light the fuse.

One detail worth remembering: after the waterfall sweep, funding rates usually return to neutral or even turn negative. With leverage flushed out, market structure often becomes healthier. That’s why experienced traders don’t fear the liquidation event itself—they fear *their own* position taken with excessive leverage.

In this round, did you buy the dip, cut losses, or get washed out? Let’s talk about your response in the comments.

#全网爆仓6.74亿美元

Two population data sets simultaneously topped the trending searches. Total: 1.405 billion. New births: around 8 million. Taken separately, they’re just numbers. Put them together, and you can extract five things.

1. The total is still stable. The increment is gone. 1.405 billion suggests the base is basically holding. But an annual birth rate of 8 million means the growth engine is sputtering out. Where the total population goes in the future depends on the lifespan curve, not the fertility curve.

2. The baby-economy moves into early winter. Infant formula, maternal-and-child products, early education. What they face isn’t just a slowdown—it’s a shrinking customer pool. Industry shakeout will happen faster than you think.

3. The demographic dividend is still there, just in a different form. With a large total population, the scale effects of a single market still remain. Consumer-demand brands have far more room for error than small countries do.

4. The story of labor costs needs to be rewritten. It’s not simply that “labor has gotten more expensive.” It’s a layered kind of expensive: scarcity-skill premiums accelerate. Replaceable jobs get eaten by automation first.

5. This one is the most important—and the most underestimated: 8 million is a slow-moving variable. But the capital market prices it as a fast variable. By the time population data “officially worsens” and hits the trending searches, relevant assets have already been priced in. The panic you see now may already be someone else cashing out.

Save this. Every year for the next decade, come back and check—verify it step by step. Which one do you think I got wrong? Or is there a sixth point? Add it in the comments.

Revolut’s user data was stolen by a “forged government email.” Many people’s first reaction is to laugh at a fintech company being so easy to fool—but what really needs to be understood is why these attacks specifically target financial institutions and often succeed.

This scam has a formal name: forged legal process. The attackers impersonate courts or law-enforcement agencies and send what appear to be legitimate subpoenas or “urgent disclosure requests” to the company’s legal and compliance teams. Its impact is in the design: legal teams receiving a “court order” must respond within a limited time window. Refusing may be construed as obstructing justice, but complying may not leave enough time to verify every detail of the document. The attack surface isn’t a system vulnerability—it’s the process and people constrained by institutional deadlines. For fintech firms with tens of millions of users, one mistaken judgment can lead to large-scale data leakage.

Revolut is a prime example of this kind of target: it has expanded extremely quickly, has a massive user base, and its compliance program has consistently lagged behind the pace of the business. Moreover, its licensed entities span multiple jurisdictions—so any “government” can be fabricated. It’s also not the first time data was leaked: in 2022, it previously exposed information of around 50,000 users due to issues with a third-party interface. The problem has never been a single point; it’s whether risk controls can keep up with the scale in a fast-growing company.

Next, there are three things to watch: how regulators classify this “forced handover”—whether it counts as force majeure or corporate negligence—which will determine fines and liability for compensation; whether the entire industry will build a unified channel to verify legal documents; and a question every user should ask customer support: is your financial app able to hand over your information based solely on a single email? #Revolut被骗交出用户数据被假政府邮件骗取

The Federal Reserve’s decision on interest rates is set for Wednesday, and the rate futures pricing has already pushed the probability of a rate hike to 87%—the pricing itself shows just how much the market is worried about inflation, and for $BTC this week is a real pressure test. What’s even more worth pondering is the view of Custodia Bank founder Caitlin Long: she believes that it’s no longer the Federal Reserve that truly controls the market liquidity switch; it’s the U.S. Treasury instead. The opening and closing of Treasury accounts determines how tight or loose the U.S. dollar is more directly than the federal funds rate. Following this logic, rate hikes themselves may not immediately wipe out risk assets, but if the Treasury simultaneously pulls liquidity out, then under this double squeeze, Bitcoin is unlikely to be spared. Instead of trying to guess the direction, it’s better to watch two things: the wording in the FOMC statement regarding inflation, and changes in the Treasury account balance. Also, don’t forget that 87% pricing leaves virtually no room for surprises—if there’s no rate hike, the rebound could be stronger than you might expect. How would you bet?

It’s down about 50% over the past year, but revenue is accelerating—$ORCLB is now one of the most controversial contradictions in the U.S. stock market. Evidence for the bulls: AI-related orders have pushed the backlog contract value (RPO) to record highs, and the growth engine is OCI, Oracle’s cloud infrastructure business. Enterprises have moved their AI training and inference budgets from on-prem data centers into the cloud. Evidence for the bears: To fulfill these orders, capital expenditures and debt have surged in tandem. The market has started to question the payback cycle of AI infrastructure, and the valuation logic has shifted from a growth-stock framework to a heavy-asset utility model. After the stock was cut in half, the question is actually very simple: do you believe Oracle can turn this massive backlog into real revenue and cash flow? If conversion goes smoothly, the current price is a gold mine; if not, the heavy-asset + high-leverage model will continue to be punished by valuation resets. A Buffett-style reminder: a 50% drop doesn’t automatically mean it’s cheap—the key is the certainty of future cash flows, not the magnitude of the decline itself. Would you buy $ORCLB on the dip?

Anthropic’s CEO urged slowing down AI development, and the line has built-in dramatic tension: a company at the very front of capability, whose leader is the one proactively talking about putting on the brakes—both sides for and against can immediately find ammunition in it.

The disagreement isn’t really about “whether to be safe.” It lies in three deeper fault lines.

First fault line: what exactly “slow down” means. Supporters read it as pre-deployment testing, capability thresholds, and government regulatory frameworks. Opponents read it literally as stopping training. These two interpretations point to entirely different policies. And ambiguity is precisely the function of such statements—it both soothes those who worry and doesn’t actually constrain the speaker.

Second fault line: competitive logic. The most classic rebuttal in the industry is, “If you slow down, your competitor won’t.” Unilaterally slowing means yielding your position. What’s interesting is that this CEO has previously been known for emphasizing technical leadership and calling for increased investment at the national level. Moving from all-out sprint to urging deceleration signals that the seriousness inside has escalated—but accusations of “contradiction” are sure to follow.

Third fault line, the sharpest of all: who has the right to call for a halt. When top companies call for the brakes, skeptics immediately ask—does this effectively raise the bar and lock out latecomers? Regulation is always a candidate for a “moat” that big players can use. The safety camp, in turn, criticizes the opposite: talk without practice—the pace of model releases hasn’t actually slowed down.

So don’t just listen to the wording—watch three things that can be verified: whether the release cadence of next-generation models is actually extended; whether the company is willing to accept third-party, verifiable capability assessments; and whether policy will come with teeth in the form of enforceable mechanisms. If “slowdown” is real, it will ultimately show up as a slower rhythm on the calendar. #AnthropicCEO呼吁放缓AI发展

Bezos built Amazon into a $1.8 trillion company, but the real question is: after he leaves, who will keep propping up the valuation? The answer is Andy Jassy—and the approach he chose is completely different from that of the founder. In the Bezos era, it was about the flywheel effect: using e-commerce to drive traffic, Prime memberships to retain customers, and expanding the logistics network. After taking over, Jassy did things in a more straightforward way: turning AWS into the revenue pillar for AI infrastructure, cutting unprofitable experimental projects to focus on the core, and then using advertising—this high-margin cash cow—to fatten the profit-and-loss statement. Compared with the loss-making expansion during the Bezos period, what Jassy delivered was a series of reports showing continuously improving profit margins. After $1.8 trillion, the market is no longer buying the story—it’s buying the certainty of profits and free cash flow. An interesting perspective: a founder-led company prices on imagination, while a professional manager-led company prices on execution and profits—$AMZNB now looks more like the latter. Which pricing logic do you prefer? Let’s talk in the comments.

The U.S. 10-year Treasury yield is approaching 5%. This level is worth serious discussion: the last time it touched it was October 2023, and the time before that was 2007. 5% is not just a psychological line—it is the interest-rate level that triggers a repricing of assets.

Where exactly do the bulls and the bears disagree?

The bears’ chain of logic (believing yields will hold above 5%): the U.S. federal budget deficit as a share of GDP remains above 6%, Treasury issuance continues to expand, and banks and foreign official institutions do not have sufficient allocation appetite—leading to a severe imbalance between buyers and sellers. On top of that, tariffs and immigration policies may push up inflation, so the term premium will only keep rising. Conclusion: 5% is not the top; it is the starting point of a new normal.

The bulls’ chain of logic (believing yields will eventually fall): real interest rates are already at their tightest level since 2008. Financial conditions will tighten on their own and weigh on the economy—mortgage rates and corporate financing costs are already being transmitted. A demand slowdown drags down inflation and growth, and the bond market will eventually reprice for rate cuts. Moreover, once the equity market shows a clear pullback, safe-haven capital flows into Treasuries, and yields will self-correct.

For the crypto market, this disagreement is not background noise—it is a direct pricing factor. The 10-year yield is the opportunity-cost benchmark for global risk assets: with the risk-free return nearing 5%, any assets whose valuations rely on forward-looking stories need to be discounted. In the October 2023 move, $BTC was exactly when yields topped and began rising again afterward—highly coincident in timing. Of course, the main driver then was expectations for ETFs.

My analytical framework: figure out whether real interest rates or the term premium is driving the move. If it is driven by inflation expectations, then in an anti-inflation narrative, Bitcoin may actually benefit. If it is driven by the term premium (a discount on government credit), then it is liquidity being drained—risk assets get hit together. Approaching 5% may look the same, but the nature is completely different.

Before the Fed’s September policy meeting outcome is known, this disagreement is unlikely to converge. Volatility itself is part of the market.

#U.S. 10-year Treasury yield approaching 5%

In early Fed week, broad asset classes first split into camps. On Monday, oil rose sharply: Brent crude gained 2.75% to $107.48/bbl; WTI rose 2.51% to $102.56/bbl. Behind it are expectations of a supply tightening triggered by Saudi Arabia. Meanwhile, $BTC , gold, silver, and copper all moved lower—there was no synchronized inflation trade; instead, they showed a conservative posture of “selling everything that isn’t oil.” This divergence is worth pondering: if crude prices hold above $100, inflation stickiness will once again become a problem the Fed can’t sidestep, making it hard for the wording of Wednesday’s decision to lean dovish. For the crypto market, this means short-term pricing power is still in macro hands: higher oil boosts rate expectations and suppresses liquidity-sensitive assets, so $BTC under pressure is not surprising. But from another angle, the more stubborn energy-driven inflation is, the more compelling the narrative that fiat purchasing power is being eroded becomes—which is a long-term positive for crypto. In the short term, it’s macro; in the long term, it’s narrative. This week, both sides are ringing the bell. What do you think about this large-scale divergence across assets?

SEC receives Grayscale Litecoin Trust application to convert to an ETF. Many people just see it as “yet another altcoin ETF waiting in line,” but Grayscale’s path is completely different from that of a brand-new issuer—worth breaking down the mechanics.

This type of conversion requires two tracks running in parallel: (1) the exchange (NYSE Arca) files with the SEC a proposed rule change under Rule 19b-4 to address whether the product can be listed and traded; and (2) the issuer simultaneously files a registration statement to address how the shares can be sold in a compliant manner. Only after both tracks are approved can the ETF be listed. Once the 19b-4 enters the federal register, the SEC’s review clock starts: an initial 45 days, which can be extended multiple times, but a final decision must be issued within a maximum of 240 days.

Why does Grayscale use the term “conversion” rather than launching a brand-new ETF? Because the trust has been operating for years. Existing shares can be directly converted into ETF shares—longtime holders don’t have to “sell the coins and buy back again,” which is easier and typically avoids triggering taxable events. This strategy has been validated by GBTC: in 2023, Grayscale won its case in court against the SEC; and in early 2024, GBTC converted into a spot Bitcoin ETF, paving the way for all subsequent conversions.

So what should you watch next? Not just “it was filed,” but three signals: whether the SEC formally accepts the filing and begins substantive review; what questions regulators raise during the comment period; and whether the final decision date has been postponed. For Litecoin ($LTC ), the true watershed is the moment the SEC accepts it—that’s when the process genuinely starts to turn. #SEC收到灰度莱特币信托转ETF申请