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密智君 Crypto Plus AI
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密智君 Crypto Plus AI

分享AI Crypto创新洞见,AI实用工具 & 技巧分享,心得,热门话题探讨#CryptoAGI
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Whoa, I just saw this chart in the square, and I'm completely stunned. This isn't trading; it's practically a real-life 'suicidal attack'. Brothers, did you see clearly? This dude went short on $LAB at 0.68, and now the price has skyrocketed to 4.7. He's sitting on a paper loss of $487,000, with a return rate of negative 85.95%. What's heartbreaking is his message: he's mortgaged his house and car, and has been margin-calling ever since; he really can't borrow any more money now. The liquidation price is at 5.29, just a step away from the current price. Honestly, looking at this chart really reminds me of my past self. That desperate feeling of watching the price jump toward the liquidation line while being completely powerless is enough to drive anyone insane. This isn't shorting; it's like playing a 'life swap' game with the market makers. You thought 0.68 was a high point, but the market makers are telling you there's always a higher high. What I admire (and feel sorry for) is his obsession. Going all-in short with 1x leverage, enduring nearly a 7x increase. That takes some serious 'courage' and a thick wallet, huh? But the trading market doesn’t care about tears, and definitely doesn’t believe in 'holding on for dear life'. You try to reason with the market makers, but they just want to drain your last drop of blood. $BTC #LAB
Whoa, I just saw this chart in the square, and I'm completely stunned. This isn't trading; it's practically a real-life 'suicidal attack'.

Brothers, did you see clearly? This dude went short on $LAB at 0.68, and now the price has skyrocketed to 4.7. He's sitting on a paper loss of $487,000, with a return rate of negative 85.95%. What's heartbreaking is his message: he's mortgaged his house and car, and has been margin-calling ever since; he really can't borrow any more money now. The liquidation price is at 5.29, just a step away from the current price.

Honestly, looking at this chart really reminds me of my past self. That desperate feeling of watching the price jump toward the liquidation line while being completely powerless is enough to drive anyone insane. This isn't shorting; it's like playing a 'life swap' game with the market makers. You thought 0.68 was a high point, but the market makers are telling you there's always a higher high.

What I admire (and feel sorry for) is his obsession. Going all-in short with 1x leverage, enduring nearly a 7x increase. That takes some serious 'courage' and a thick wallet, huh? But the trading market doesn’t care about tears, and definitely doesn’t believe in 'holding on for dear life'. You try to reason with the market makers, but they just want to drain your last drop of blood. $BTC #LAB
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Wow, this guy made 140,000 times his investment in 14 years. Who else can be as awesome as him? In 2011, he spent less than $8,000 to buy 10,000 $BTC, when one Bitcoin was only $0.78. So what happened? He just held on for 14 years! By October 2025, when Bitcoin broke through $109,000, he sold everything and cashed out over $1 billion. A 140,000 times return, this is not just investment, this is simply like cultivating immortality. To be honest, what I admire most is not that he bought early, but that he was able to hold on. Over these 14 years, he experienced hundreds of crashes and endured four long bear markets lasting several years. How many times did the market halve, how many times did the media shout 'Bitcoin will go to zero', and he never wavered once. This kind of determination is really not something ordinary people can possess. I used to have quite a few good stocks, but I sold when they rose two or three times, and cut losses when they fell by 20%. Seeing others get a 140,000 times increase, I can only mock myself: people like us who can't hold on deserve to miss out on big money. Risk Warning: This kind of 'get rich quick myth' is an extreme case of survivor bias. Just because he made a fortune after 14 years, don’t think you can do the same. Investment requires caution; first, ask yourself if you can withstand a 90% drawdown. What do you think? If you bought 10,000 Bitcoins in 2011, could you still hold on until now? Be honest in the comments, at which point would you get off the ride? $BTC
Wow, this guy made 140,000 times his investment in 14 years. Who else can be as awesome as him? In 2011, he spent less than $8,000 to buy 10,000 $BTC , when one Bitcoin was only $0.78.

So what happened? He just held on for 14 years! By October 2025, when Bitcoin broke through $109,000, he sold everything and cashed out over $1 billion. A 140,000 times return, this is not just investment, this is simply like cultivating immortality.

To be honest, what I admire most is not that he bought early, but that he was able to hold on. Over these 14 years, he experienced hundreds of crashes and endured four long bear markets lasting several years. How many times did the market halve, how many times did the media shout 'Bitcoin will go to zero', and he never wavered once. This kind of determination is really not something ordinary people can possess.

I used to have quite a few good stocks, but I sold when they rose two or three times, and cut losses when they fell by 20%. Seeing others get a 140,000 times increase, I can only mock myself: people like us who can't hold on deserve to miss out on big money.

Risk Warning: This kind of 'get rich quick myth' is an extreme case of survivor bias. Just because he made a fortune after 14 years, don’t think you can do the same. Investment requires caution; first, ask yourself if you can withstand a 90% drawdown.

What do you think? If you bought 10,000 Bitcoins in 2011, could you still hold on until now? Be honest in the comments, at which point would you get off the ride?
$BTC
Damn it—$2.1 billion bet on AI drug discovery, and Hassabis faces the real test by year-end! Hassabis is taking on two of the hardest challenges at once: leading DeepMind on the path to AGI, and trying to use AI to rewrite drug discovery rules that have lasted for decades. Traditional new drug development averages about 10 years and often costs billions of dollars, and most candidate drugs ultimately never make it to market. Isomorphic Labs’ goal is to compress early-stage drug discovery from years to months, and improve the success rate of candidate drugs once they enter clinical trials. Capital has already placed its bets. Isomorphic Labs raised $600 million in 2025, and completed a $2.1 billion Series B in 2026, with total external funding of about $2.7 billion. Its potential value from collaborations with Eli Lilly and Novartis is close to $3 billion, and it has also established a partnership with Johnson & Johnson. Risk warning: funding scale and potential collaboration amounts cannot represent the success of drug development. Even after the first batch of candidate drugs enters clinical trials, there are still risks related to safety, efficacy, and regulatory approval.$GOOGL.US
Damn it—$2.1 billion bet on AI drug discovery, and Hassabis faces the real test by year-end!
Hassabis is taking on two of the hardest challenges at once: leading DeepMind on the path to AGI, and trying to use AI to rewrite drug discovery rules that have lasted for decades.
Traditional new drug development averages about 10 years and often costs billions of dollars, and most candidate drugs ultimately never make it to market. Isomorphic Labs’ goal is to compress early-stage drug discovery from years to months, and improve the success rate of candidate drugs once they enter clinical trials.
Capital has already placed its bets. Isomorphic Labs raised $600 million in 2025, and completed a $2.1 billion Series B in 2026, with total external funding of about $2.7 billion. Its potential value from collaborations with Eli Lilly and Novartis is close to $3 billion, and it has also established a partnership with Johnson & Johnson.
Risk warning: funding scale and potential collaboration amounts cannot represent the success of drug development. Even after the first batch of candidate drugs enters clinical trials, there are still risks related to safety, efficacy, and regulatory approval.$GOOGL.US
Although I know 《Kung Fu Women’s Football》 will most likely be a bad movie, after watching it I still ended up getting totally emotionally crushed. I can see the deep national sentiment that Stephen Chow (aka Xing Ye) hid in the film😭 The Great River Team, champions for seven years—then in the eighth year, we won the championship. It symbolizes our victory in the eight-year Anti-Japanese War. The tiger represents the American and Western powers; the leopard stands for foreign enemies from various countries; and the dragon is us, the Chinese nation. The Great River Team reflects Japan. In the past, the major powers joined forces to oppress China and break our backbone, but the descendants of Yan and Huang rose up together relying on the depth of our civilization and national spirit. In two decisive battles, the Emei Team defeated the Great River Team every time; the opponent was forced to kneel and surrender. The whole movie is an epic about the Chinese nation rising from suffering, hardship, and weakness to strength, pride, and self-confidence. It’s a declaration to the world. The great rejuvenation of the Chinese nation is bound to be realized! I pay my highest respect to Xing Ye—would you also buy into this feeling?
Although I know 《Kung Fu Women’s Football》 will most likely be a bad movie, after watching it I still ended up getting totally emotionally crushed. I can see the deep national sentiment that Stephen Chow (aka Xing Ye) hid in the film😭
The Great River Team, champions for seven years—then in the eighth year, we won the championship. It symbolizes our victory in the eight-year Anti-Japanese War. The tiger represents the American and Western powers; the leopard stands for foreign enemies from various countries; and the dragon is us, the Chinese nation. The Great River Team reflects Japan.
In the past, the major powers joined forces to oppress China and break our backbone, but the descendants of Yan and Huang rose up together relying on the depth of our civilization and national spirit.
In two decisive battles, the Emei Team defeated the Great River Team every time; the opponent was forced to kneel and surrender.
The whole movie is an epic about the Chinese nation rising from suffering, hardship, and weakness to strength, pride, and self-confidence. It’s a declaration to the world. The great rejuvenation of the Chinese nation is bound to be realized! I pay my highest respect to Xing Ye—would you also buy into this feeling?
Damn, the World Cup teams are going to expand to 64. That can give more countries a chance to participate—this is definitely a good thing. The World Cup semifinals will determine the champion this week: France or Argentina? Which one are you betting on? #世界杯
Damn, the World Cup teams are going to expand to 64. That can give more countries a chance to participate—this is definitely a good thing. The World Cup semifinals will determine the champion this week: France or Argentina? Which one are you betting on? #世界杯
Damn it—sold 1,400 BTC at a loss to switch to AI. Is this “treasury company’s” faith only worth a year? Damn it. A company that once loudly touted “accumulating Bitcoin” now sells nearly half its holdings at an average price of $62,200, and turns around to bet on AI data centers—capital has no faith, only return on investment. Empery Digital disclosed that over the past two months it sold 1,400 $BTC, raising about $87.1 million in cash. Its holdings dropped 48%, and it currently has 1,514 coins left. The funds were not all poured into AI: $65 million was used to buy a 25% stake in a physical data center facility, and another $10 million was used to repay debt. What’s truly eye-catching is the cost. In August 2025, the company disclosed it held 4,018 BTC at an average cost as high as $117,552; yet now it’s selling near $62,200. While you can’t precisely calculate the cost basis of this batch from that alone, it clearly isn’t a “pretty” take-profit—it looks more like a strategic exit driven by liquidity pressure. Why sell BTC at a discount rather than issue more shares? Because EMPD’s share price has already fallen sharply from its 2025 peak; a low-price equity raise would heavily dilute shareholders. By contrast, BTC is the easiest “chip” to liquidate on the balance sheet. And the AI project isn’t just empty talk: the target facility has 150MW of existing capacity and could potentially be expanded to 300MW. It has also signed a non-binding cloud computing lease intent with a potential value of $1 billion. My view is that the “Bitcoin treasury company” wave in 2025 is already ebbing. When BTC is rising, companies fund coin purchases with stock. Once the stock loses its premium, they can only sell coins, repay debts, and chase AI. Empery isn’t selling “faith”—it’s selling an obsolete financing model. If you’re an EMPD shareholder, you can only pick one: A. Hold onto the BTC and wait for the rebound B. Cut losses on BTC and move into AI infrastructure $BTC #摩根士丹利增持1000枚BTC Risk warning: The AI data center still faces construction cost, power supply, and tenant execution risks; the $1 billion lease is currently only a non-binding intent and not confirmed revenue.
Damn it—sold 1,400 BTC at a loss to switch to AI. Is this “treasury company’s” faith only worth a year?
Damn it. A company that once loudly touted “accumulating Bitcoin” now sells nearly half its holdings at an average price of $62,200, and turns around to bet on AI data centers—capital has no faith, only return on investment.
Empery Digital disclosed that over the past two months it sold 1,400 $BTC , raising about $87.1 million in cash. Its holdings dropped 48%, and it currently has 1,514 coins left. The funds were not all poured into AI: $65 million was used to buy a 25% stake in a physical data center facility, and another $10 million was used to repay debt.
What’s truly eye-catching is the cost. In August 2025, the company disclosed it held 4,018 BTC at an average cost as high as $117,552; yet now it’s selling near $62,200. While you can’t precisely calculate the cost basis of this batch from that alone, it clearly isn’t a “pretty” take-profit—it looks more like a strategic exit driven by liquidity pressure.
Why sell BTC at a discount rather than issue more shares? Because EMPD’s share price has already fallen sharply from its 2025 peak; a low-price equity raise would heavily dilute shareholders. By contrast, BTC is the easiest “chip” to liquidate on the balance sheet.
And the AI project isn’t just empty talk: the target facility has 150MW of existing capacity and could potentially be expanded to 300MW. It has also signed a non-binding cloud computing lease intent with a potential value of $1 billion.
My view is that the “Bitcoin treasury company” wave in 2025 is already ebbing. When BTC is rising, companies fund coin purchases with stock. Once the stock loses its premium, they can only sell coins, repay debts, and chase AI. Empery isn’t selling “faith”—it’s selling an obsolete financing model.
If you’re an EMPD shareholder, you can only pick one:
A. Hold onto the BTC and wait for the rebound
B. Cut losses on BTC and move into AI infrastructure
$BTC #摩根士丹利增持1000枚BTC
Risk warning: The AI data center still faces construction cost, power supply, and tenant execution risks; the $1 billion lease is currently only a non-binding intent and not confirmed revenue.
$BTC #比特币7月上涨9.5%创四年最佳 Oh wow, if you held BTC in 2020, six years have passed and it’s already grown to $1,200—an average annualized return of 200%—while your fiat currency has lost 24%! In the long run, BTC is the only valuable currency; fiat will eventually be phased out. If it were you, would you choose to hold BTC long term or fiat?
$BTC #比特币7月上涨9.5%创四年最佳 Oh wow, if you held BTC in 2020, six years have passed and it’s already grown to $1,200—an average annualized return of 200%—while your fiat currency has lost 24%! In the long run, BTC is the only valuable currency; fiat will eventually be phased out. If it were you, would you choose to hold BTC long term or fiat?
$BNB hours old when I was just focused on seeing Gege look cool. Only after growing up did I understand: gambling is never about winning by probabilities. It’s like contracts—you guess which way prices will move and you’ll lose ten times out of ten. Real trading relies on insight into human nature!#散户购股规模降至2020年来最低
$BNB hours old when I was just focused on seeing Gege look cool. Only after growing up did I understand: gambling is never about winning by probabilities. It’s like contracts—you guess which way prices will move and you’ll lose ten times out of ten. Real trading relies on insight into human nature!#散户购股规模降至2020年来最低
Robinhood launches for 7 days, with a $563.9 million trading volume exposing the real traffic playbook! Robinhood Chain was originally built for RWA, but the first big breakout came from Meme. On July 8, its DEX recorded $563.9 million in daily trading volume—but that’s not “an average of $500 million per day.” The key driver, CASHCAT, surged by around 950% at one point, and early wallets have already started cashing out profits. Even more ironic: CEO Vlad Tenev said just a few days ago that meme coins lack productivity, but then later admitted this chain is “also very suitable for memes.” My take: Memes can help a new chain complete a cold start, but they can’t prove long-term PMF. What Robinhood truly needs to validate is whether this speculative traffic can move into stock-token, lending, and stablecoin use cases. What do you think: will Robinhood Chain ultimately look more like Base, or a brokerage on-chain?$CATI #CashCat市值突破2亿美元创新高
Robinhood launches for 7 days, with a $563.9 million trading volume exposing the real traffic playbook!
Robinhood Chain was originally built for RWA, but the first big breakout came from Meme.
On July 8, its DEX recorded $563.9 million in daily trading volume—but that’s not “an average of $500 million per day.” The key driver, CASHCAT, surged by around 950% at one point, and early wallets have already started cashing out profits.
Even more ironic: CEO Vlad Tenev said just a few days ago that meme coins lack productivity, but then later admitted this chain is “also very suitable for memes.”
My take: Memes can help a new chain complete a cold start, but they can’t prove long-term PMF. What Robinhood truly needs to validate is whether this speculative traffic can move into stock-token, lending, and stablecoin use cases.
What do you think: will Robinhood Chain ultimately look more like Base, or a brokerage on-chain?$CATI #CashCat市值突破2亿美元创新高
HOOD+0.55%
HOODonAlpha
HOODUS+0.76%
Damn: Top trader 10 years, 79x—why does the crypto world still call it slow? The performance of British top trader Michael Platt is enough to make most of the “100x myth” crowd in crypto calm down. He graduated from the London School of Economics and Political Science, then traded derivatives at JPMorgan for nearly a decade. In 2000, he co-founded BlueCrest, which at its peak managed more than $35 billion. The real turning point came in 2015: BlueCrest returned about $7 billion of external capital and transformed into a private investment firm that managed only the founders’, partners’, and employees’ capital. Without customer redemption pressure, and without needing to chase crowded trades for quarterly rankings, the strategy cycles and trader incentives were redesigned. After that, the results were wildly impressive: around 95% returns in 2020, 153% in 2022, and still 38% in 2024. Forbes shows Platt’s current wealth is about $20.9 billion, and lists him among the richest British billionaires. Some media estimate the compounding using year-by-year returns, suggesting BlueCrest delivered nearly 79x over ten years. However, the company has not publicly released a complete audited net asset value series, so “79x” is more appropriate as an estimate rather than an exact fund net value. What’s truly worth learning here isn’t that you can make a fortune by shutting fundraising—it’s this: top returns come from a long-term system, risk budgeting, talent incentives, and compounding, not from going all-in every day. Crypto people often say, “If you can’t earn 100x in a year, what are you even trading crypto for?” Seen this way, maybe we should all exit the scene 😅 A global top proprietary trading platform—“only” 79x in ten years. If it were you: would you want a 100x-in-a-year story, or a system you can replicate over ten years? $ETH #交易
Damn: Top trader 10 years, 79x—why does the crypto world still call it slow?
The performance of British top trader Michael Platt is enough to make most of the “100x myth” crowd in crypto calm down.
He graduated from the London School of Economics and Political Science, then traded derivatives at JPMorgan for nearly a decade. In 2000, he co-founded BlueCrest, which at its peak managed more than $35 billion.
The real turning point came in 2015: BlueCrest returned about $7 billion of external capital and transformed into a private investment firm that managed only the founders’, partners’, and employees’ capital. Without customer redemption pressure, and without needing to chase crowded trades for quarterly rankings, the strategy cycles and trader incentives were redesigned.
After that, the results were wildly impressive: around 95% returns in 2020, 153% in 2022, and still 38% in 2024. Forbes shows Platt’s current wealth is about $20.9 billion, and lists him among the richest British billionaires.
Some media estimate the compounding using year-by-year returns, suggesting BlueCrest delivered nearly 79x over ten years. However, the company has not publicly released a complete audited net asset value series, so “79x” is more appropriate as an estimate rather than an exact fund net value.
What’s truly worth learning here isn’t that you can make a fortune by shutting fundraising—it’s this: top returns come from a long-term system, risk budgeting, talent incentives, and compounding, not from going all-in every day.
Crypto people often say, “If you can’t earn 100x in a year, what are you even trading crypto for?”
Seen this way, maybe we should all exit the scene 😅
A global top proprietary trading platform—“only” 79x in ten years.
If it were you: would you want a 100x-in-a-year story, or a system you can replicate over ten years? $ETH #交易
#世界杯 Huge upset: Did the pre-match model hit England 2-1? Can Argentina still advance smoothly? This World Cup quarterfinal prediction chart has been submitted for the first match. The model gives England a 50% chance of winning within 90 minutes, with a 25% chance for a draw between Norway and 25%; the advancement probabilities are England 64% and Norway 36%, and the most likely score is 1-2. In the end, England really did beat Norway 2-1 to reach the semifinals—down to the exact scoreline. But don’t rush to label it a “super model.” A 50% win rate essentially means England is only slightly favored; one hit can’t prove the model is consistently effective. The real value lies in maintaining records of the predicted probabilities—then after 100 matches, check whether a claimed 70% actually happens about 70 times. For the second match, the image gives Argentina a 56% chance of winning within 90 minutes and a 70% chance of advancing. Switzerland has a 30% chance of advancing, and the most likely score is 1-0. The logic is also clear: Argentina’s experience and individual skill give them an edge, but Switzerland’s counterattack efficiency and physical duels could still create an upset. The winners of these two teams will face England in the semifinals. This is also the most common mistake in prediction markets: interpreting “70% likely to happen” as “the result is already decided.” In reality, a 30% upset probability isn’t low at all—roughly once every three times. Which one would you choose? A: Argentina settles the tie in regular time B: Switzerland drags the match into extra time, or even pulls off the upset {spot}(NVDABUSDT)
#世界杯 Huge upset: Did the pre-match model hit England 2-1? Can Argentina still advance smoothly?
This World Cup quarterfinal prediction chart has been submitted for the first match.
The model gives England a 50% chance of winning within 90 minutes, with a 25% chance for a draw between Norway and 25%; the advancement probabilities are England 64% and Norway 36%, and the most likely score is 1-2. In the end, England really did beat Norway 2-1 to reach the semifinals—down to the exact scoreline.
But don’t rush to label it a “super model.”
A 50% win rate essentially means England is only slightly favored; one hit can’t prove the model is consistently effective. The real value lies in maintaining records of the predicted probabilities—then after 100 matches, check whether a claimed 70% actually happens about 70 times.
For the second match, the image gives Argentina a 56% chance of winning within 90 minutes and a 70% chance of advancing. Switzerland has a 30% chance of advancing, and the most likely score is 1-0. The logic is also clear: Argentina’s experience and individual skill give them an edge, but Switzerland’s counterattack efficiency and physical duels could still create an upset. The winners of these two teams will face England in the semifinals.
This is also the most common mistake in prediction markets: interpreting “70% likely to happen” as “the result is already decided.” In reality, a 30% upset probability isn’t low at all—roughly once every three times.
Which one would you choose?
A: Argentina settles the tie in regular time
B: Switzerland drags the match into extra time, or even pulls off the upset
Article
$65,000 isn’t the line between bull and bear—the key is the persistence of the ETF!Bitcoin rebounded from around $57,700 to above $64,000, and it looks like it’s only one step away from breaking above $65,000. But will this round of gains be driven by institutions buying back, or by shorts being forced to cover? The answer determines how far the rally can go. Three sets of data point to two entirely different forces. The first force comes from the leverage market. Bitcoin has rebounded about 10% from its late-June lows. During this period, a large number of short positions were forcibly liquidated. While different statistical platforms and time windows show varying liquidation figures, the direction is consistent: short covering is a key driver of this rapid upswing.

$65,000 isn’t the line between bull and bear—the key is the persistence of the ETF!

Bitcoin rebounded from around $57,700 to above $64,000, and it looks like it’s only one step away from breaking above $65,000.
But will this round of gains be driven by institutions buying back, or by shorts being forced to cover? The answer determines how far the rally can go.
Three sets of data point to two entirely different forces.
The first force comes from the leverage market.
Bitcoin has rebounded about 10% from its late-June lows. During this period, a large number of short positions were forcibly liquidated. While different statistical platforms and time windows show varying liquidation figures, the direction is consistent: short covering is a key driver of this rapid upswing.
Holy crap! A big shot's one sentence reveals the essence of money—money is actually alive. The more you use it, the more money you end up having. Like BTC: if nobody uses it, BTC has no value at all. If you were in that position, how would you hold your own cryptocurrency?$BTC
Holy crap! A big shot's one sentence reveals the essence of money—money is actually alive. The more you use it, the more money you end up having. Like BTC: if nobody uses it, BTC has no value at all. If you were in that position, how would you hold your own cryptocurrency?$BTC
Article
$133 Million Bought Against the Trend: Why Binance Users Are Betting on AI StorageThis isn’t just a simple “bottom-fishing” in chip stocks; rather, it’s funds redefining the core bottleneck in AI trading. As of the week ending July 8, Binance users net invested about $133 million into the AI storage sector, doubling versus the previous week. Of which: SanDisk obtained about $67 million, while Micron obtained about $66 million; together, they account for about 79% of the platform’s net stock inflow. The technology sector’s net inflow is about $191 million. In the same period, the net inflow of all stocks is about $169.2 million, down 12% month over month. The most unusual thing is that the funds are not chasing the rally; instead, they are集中 buying during the downturn. On July 2, SanDisk fell by about 14% in a single day. Meanwhile, funds flowed out of the robotics and aerospace themes by $38 million and $31 million, respectively. Binance Research Institute summarized this rotation as: funds left the periphery of AI applications and shifted toward storage infrastructure.

$133 Million Bought Against the Trend: Why Binance Users Are Betting on AI Storage

This isn’t just a simple “bottom-fishing” in chip stocks; rather, it’s funds redefining the core bottleneck in AI trading.
As of the week ending July 8, Binance users net invested about $133 million into the AI storage sector, doubling versus the previous week. Of which:
SanDisk obtained about $67 million, while Micron obtained about $66 million; together, they account for about 79% of the platform’s net stock inflow. The technology sector’s net inflow is about $191 million. In the same period, the net inflow of all stocks is about $169.2 million, down 12% month over month.
The most unusual thing is that the funds are not chasing the rally; instead, they are集中 buying during the downturn.
On July 2, SanDisk fell by about 14% in a single day. Meanwhile, funds flowed out of the robotics and aerospace themes by $38 million and $31 million, respectively. Binance Research Institute summarized this rotation as: funds left the periphery of AI applications and shifted toward storage infrastructure.
Article
Robinhood Chain goes live on the mainnet—$CASHCAT surges to a market cap over 100 million yuan. Full interaction guide hereRobinhood Chain goes live on the mainnet. The first on-chain Meme, $CASHCAT, surged to nearly a $100 million market cap. Then a wave of new Memes followed. Trading volume and the number of addresses ramped up quickly. Only then did many people realize that Robinhood’s own chain can already support cross-chain transfers, swaps, and lending—and even enable direct trading of US stock tokens like AAPL, NVDA, and TSLA. Let’s start with one key point: As of July 10, 2026, Robinhood has not announced a native token, no chain-level points, and no airdrop plans. If you interact now, it’s to get familiar with the ecosystem and to leave on-chain records. There’s no need to use batches of wallets to artificially boost volume.

Robinhood Chain goes live on the mainnet—$CASHCAT surges to a market cap over 100 million yuan. Full interaction guide here

Robinhood Chain goes live on the mainnet. The first on-chain Meme, $CASHCAT, surged to nearly a $100 million market cap. Then a wave of new Memes followed. Trading volume and the number of addresses ramped up quickly. Only then did many people realize that Robinhood’s own chain can already support cross-chain transfers, swaps, and lending—and even enable direct trading of US stock tokens like AAPL, NVDA, and TSLA.
Let’s start with one key point: As of July 10, 2026, Robinhood has not announced a native token, no chain-level points, and no airdrop plans. If you interact now, it’s to get familiar with the ecosystem and to leave on-chain records. There’s no need to use batches of wallets to artificially boost volume.
Latest: Eric Trump calls for BTC to reach $1 million—his family holdings are 8,000 BTC, worth $520 million on paper. This time, it’s not just talk! Many people say they want BTC to rise to a million, but behind Eric Trump’s words there are 8,000 BTC backing them. At current prices, it comes to over $520 million. This isn’t a tweet—it’s a position. Putting the relevant figures together: the Trump family’s private holdings are 8,000 BTC, worth $520 million on paper; the U.S. federal government holds about 300,000 BTC, and official policy is not to sell; Donald Trump disclosed in federal property disclosure forms that he holds more than $50 million worth of BTC, stored in a cold wallet; the Trump family’s annual crypto income exceeds $1.4 billion (TRUMP coin license fees 635 million + WLFI token 515 million + direct holdings). This family’s bullish exposure in the crypto market is no longer just a matter of statements. Of the Trump family’s crypto income, over $1.1 billion comes from TRUMP coin license fees and WLFI token sales—these two sources of funds are ordinary buyers, and TRUMP coin holders are currently down more than $3.8 billion on paper. A family that goes long on BTC while cashing out on self-issued tokens has a complex interest structure. They’re bullish on BTC as a real thing; whether they’re bullish in the best interest of each holder is another question. Two choices—how do you bet? A. The Trump family’s holdings are a genuine signal, and BTC will touch one million within the next five years B. Political endorsements have an expiration date, and family interests may not align with retail investors’ interests $BTC #特朗普家族
Latest: Eric Trump calls for BTC to reach $1 million—his family holdings are 8,000 BTC, worth $520 million on paper. This time, it’s not just talk!
Many people say they want BTC to rise to a million, but behind Eric Trump’s words there are 8,000 BTC backing them.
At current prices, it comes to over $520 million. This isn’t a tweet—it’s a position.
Putting the relevant figures together: the Trump family’s private holdings are 8,000 BTC, worth $520 million on paper; the U.S. federal government holds about 300,000 BTC, and official policy is not to sell; Donald Trump disclosed in federal property disclosure forms that he holds more than $50 million worth of BTC, stored in a cold wallet; the Trump family’s annual crypto income exceeds $1.4 billion (TRUMP coin license fees 635 million + WLFI token 515 million + direct holdings).
This family’s bullish exposure in the crypto market is no longer just a matter of statements.
Of the Trump family’s crypto income, over $1.1 billion comes from TRUMP coin license fees and WLFI token sales—these two sources of funds are ordinary buyers, and TRUMP coin holders are currently down more than $3.8 billion on paper.
A family that goes long on BTC while cashing out on self-issued tokens has a complex interest structure. They’re bullish on BTC as a real thing; whether they’re bullish in the best interest of each holder is another question.
Two choices—how do you bet?
A. The Trump family’s holdings are a genuine signal, and BTC will touch one million within the next five years
B. Political endorsements have an expiration date, and family interests may not align with retail investors’ interests
$BTC #特朗普家族
Strategy model reverse engineering: BTC annualized return 30%, theoretical price in 2030 $302,000; but breakeven ARR only needs 3.33% At first glance, this set of numbers looks wild, but first let’s figure out what it’s actually calculating. This isn’t a price prediction model—it’s a scenario analysis tool. If you input a hypothetical annualized return rate (ARR), it tells you what the theoretical BTC price path would look like under that assumption. The model itself doesn’t judge whether the ARR will be achieved. Current parameters: BTC $62,664, ARR 30%, volatility 40%, calculation period 30 years. The breakeven ARR is only 3.33%. The path produced by 30% annualized compounding: in 2027 $137,673, in 2028 $178,975, in 2030 $302,468, and in 2034 $863,879. When ARR increases by 5%, the long-term outcome diverges dramatically—2030 goes from $111,000 at 10% ARR to $463,000 at 40% ARR, a fourfold difference. What’s truly interesting about this model is the breakeven number: 3.33%. Meaning: as long as BTC’s future annualized return over the next 30 years stays above 3.33%, Strategy’s credit structure won’t break. What does 3.33% mean—US 10-year Treasury yields are around that level. In other words, Strategy’s risk pricing is effectively using Treasury yield levels as the minimum assumption for BTC. This framework makes Seller’s logic very clear: he doesn’t need BTC to reach $1 million; he only needs BTC to outperform US dollar inflation. Combining BTC’s actual compounded growth over the past 15 years (about 25%–35%, source: Glassnode historical data), the 2030 outcomes for three scenarios are: Conservative (15% ARR): $147,000 Neutral (25% ARR): $238,000 Optimistic (35% ARR): $373,000 Note that the "conservative" here is 15%, which is already far above the long-term returns of any traditional asset. If you believe BTC won’t deliver 15% annualized in the future, then this framework isn’t meaningful for you. If you think it can, then the numbers are on that order of magnitude. The model also has a largely overlooked implication: as BTC’s price rises, Strategy’s credit condition keeps improving. BTC Reserve increases, the asset coverage multiple rises, and the breakeven ARR may even fall below 3.33%. This means it’s a self-reinforcing structure—provided BTC doesn’t drop below a certain threshold. Where is the threshold? With the current model parameters, the 3.33% breakeven corresponds to an extremely low BTC price floor—far below the current level. What do you think will happen to BTC’s future price direction? $BTC #BTC
Strategy model reverse engineering: BTC annualized return 30%, theoretical price in 2030 $302,000; but breakeven ARR only needs 3.33%
At first glance, this set of numbers looks wild, but first let’s figure out what it’s actually calculating.
This isn’t a price prediction model—it’s a scenario analysis tool. If you input a hypothetical annualized return rate (ARR), it tells you what the theoretical BTC price path would look like under that assumption. The model itself doesn’t judge whether the ARR will be achieved.
Current parameters: BTC $62,664, ARR 30%, volatility 40%, calculation period 30 years. The breakeven ARR is only 3.33%.
The path produced by 30% annualized compounding: in 2027 $137,673, in 2028 $178,975, in 2030 $302,468, and in 2034 $863,879. When ARR increases by 5%, the long-term outcome diverges dramatically—2030 goes from $111,000 at 10% ARR to $463,000 at 40% ARR, a fourfold difference.
What’s truly interesting about this model is the breakeven number: 3.33%.
Meaning: as long as BTC’s future annualized return over the next 30 years stays above 3.33%, Strategy’s credit structure won’t break. What does 3.33% mean—US 10-year Treasury yields are around that level. In other words, Strategy’s risk pricing is effectively using Treasury yield levels as the minimum assumption for BTC.
This framework makes Seller’s logic very clear: he doesn’t need BTC to reach $1 million; he only needs BTC to outperform US dollar inflation.
Combining BTC’s actual compounded growth over the past 15 years (about 25%–35%, source: Glassnode historical data), the 2030 outcomes for three scenarios are:
Conservative (15% ARR): $147,000
Neutral (25% ARR): $238,000
Optimistic (35% ARR): $373,000
Note that the "conservative" here is 15%, which is already far above the long-term returns of any traditional asset. If you believe BTC won’t deliver 15% annualized in the future, then this framework isn’t meaningful for you. If you think it can, then the numbers are on that order of magnitude.
The model also has a largely overlooked implication: as BTC’s price rises, Strategy’s credit condition keeps improving. BTC Reserve increases, the asset coverage multiple rises, and the breakeven ARR may even fall below 3.33%. This means it’s a self-reinforcing structure—provided BTC doesn’t drop below a certain threshold.
Where is the threshold? With the current model parameters, the 3.33% breakeven corresponds to an extremely low BTC price floor—far below the current level.
What do you think will happen to BTC’s future price direction? $BTC #BTC
Warn students not to take the civil service exam and instead trade U.S. stocks: Niuke CEO Zhang Xiaolong resigns. Behind it is a “civil service exam empire” propped up by 2.677 billion yuan in revenue, self-tearing apart Earning 2.677 billion yuan a year from selling civil service exam courses, yet the CEO runs to public lectures to say “don’t take the exam—go trade U.S. stocks.” Put this contradiction together, and it’s already an awkward situation that’s hard to justify. At a public lecture in China’s universities, Zhang Xiaolong advised students not to take the civil service exam, but to invest in U.S. stocks. Taken on its own, the statement doesn’t sound like a problem—many people agree with this logic. But the person saying it is running a company whose core business survives by selling civil service exam training courses. Last year, revenue reached 2.677 billion yuan, almost entirely funded by the tuition paid by the students he advised to “not go down this road.” After the controversy erupted, he chose to resign. The real tension in this matter isn’t about what he got wrong; it’s about a public rift between one person’s real judgment and the business model that he has been living off of. If he truly believes trading U.S. stocks is more promising than taking the exam, what does this 2.677 billion yuan in revenue mean? If he doesn’t believe it, then what does that lecture mean? Either answer doesn’t look good. The essence of the civil service exam boom is a pressure valve in the job market. Koolearn’s business model is built on that pressure. The more people feel that their options are narrow, the larger the civil service exam training market becomes. When a CEO publicly sings against the grain, it’s not just a personal opinion issue—it shakes the underlying logic of why his company exists. To resign is, in a sense, the only decent exit from this contradiction. What do you think about this—was he telling the truth, or did he just say the wrong thing at the wrong time and in the wrong place?$AAPL.US #SK海力士美国IPO募资265亿美元
Warn students not to take the civil service exam and instead trade U.S. stocks: Niuke CEO Zhang Xiaolong resigns. Behind it is a “civil service exam empire” propped up by 2.677 billion yuan in revenue, self-tearing apart
Earning 2.677 billion yuan a year from selling civil service exam courses, yet the CEO runs to public lectures to say “don’t take the exam—go trade U.S. stocks.”
Put this contradiction together, and it’s already an awkward situation that’s hard to justify.
At a public lecture in China’s universities, Zhang Xiaolong advised students not to take the civil service exam, but to invest in U.S. stocks. Taken on its own, the statement doesn’t sound like a problem—many people agree with this logic. But the person saying it is running a company whose core business survives by selling civil service exam training courses. Last year, revenue reached 2.677 billion yuan, almost entirely funded by the tuition paid by the students he advised to “not go down this road.”
After the controversy erupted, he chose to resign.
The real tension in this matter isn’t about what he got wrong; it’s about a public rift between one person’s real judgment and the business model that he has been living off of. If he truly believes trading U.S. stocks is more promising than taking the exam, what does this 2.677 billion yuan in revenue mean? If he doesn’t believe it, then what does that lecture mean?
Either answer doesn’t look good.
The essence of the civil service exam boom is a pressure valve in the job market. Koolearn’s business model is built on that pressure. The more people feel that their options are narrow, the larger the civil service exam training market becomes. When a CEO publicly sings against the grain, it’s not just a personal opinion issue—it shakes the underlying logic of why his company exists.
To resign is, in a sense, the only decent exit from this contradiction.
What do you think about this—was he telling the truth, or did he just say the wrong thing at the wrong time and in the wrong place?$AAPL.US #SK海力士美国IPO募资265亿美元
Sun Yuchen Tops the Hurun U35 List: TRON Valued at RMB 227.5 Billion—Does a Single Controversial Figure Become China’s Startup Vanguard? When the Hurun list was released, what was most surprising wasn’t who made it onto the榜—it's the figure for TRON. RMB 227.5 billion, accounting for 47% of the combined total value of all first-generation startup companies on this year’s list. With 187 people selected, TRON alone captures nearly half of the valuation weight. Other names on the same榜 include AI-sector leaders such as SenseTime, Moonshot AI, and MiniMax. Sun Yuchen is one of the most hotly debated figures in the crypto industry. The USDD de-peg controversy, multiple times being accused by the SEC, and frequent scrutiny over large transfers on-chain—these are almost common knowledge within the圈. But purely from the numbers, TRON’s on-chain data does appear to support the valuation. Current TRON (TRX) data: • Average daily on-chain transaction volume remains consistently in the global top three (Source: TronScan) • The circulating supply of USDT on the TRON chain exceeds $60 billion, making it the largest stablecoin settlement chain in the world (Source: CoinGecko) • Protocol revenue in 2025 exceeds $1 billion, ranking among the top across all public chains (Source: Token Terminal) In the stablecoin settlement space, TRON’s market share is real. No matter how you feel about Sun Yuchen personally, USDT-TRC20 is one of the most widely used on-chain payment tools globally, covering regions with high levels of dollarization such as Southeast Asia, the Middle East, and Africa. Behind Hurun’s chosen valuation method is a question worth asking: how exactly was the RMB 227.5 billion calculated? TRON is not a listed company, and it does not release public financial reports. The valuation is derived from TRX market capitalization plus a valuation of ecosystem assets. This kind of approach is common among crypto assets, but it doesn’t align with the logic used to value the AI companies on the same list—typically based on revenue or funding. To draw an analogy: if you translate Bitcoin’s market cap into an “entrepreneur’s company valuation,” Satoshi Nakamoto would have been number one on the list long ago. The real signal here isn’t which榜 Sun Yuchen made it onto, but that Hurun—an organization that serves China’s traditional wealth circle—has started placing crypto founders alongside leaders in AI, life sciences, and advanced manufacturing on the same list. This is another step toward legitimizing asset categories. It doesn’t come from regulators; it comes from recognition within the wealth community. What do you think of this list?$TRX #胡润研究院
Sun Yuchen Tops the Hurun U35 List: TRON Valued at RMB 227.5 Billion—Does a Single Controversial Figure Become China’s Startup Vanguard?
When the Hurun list was released, what was most surprising wasn’t who made it onto the榜—it's the figure for TRON.
RMB 227.5 billion, accounting for 47% of the combined total value of all first-generation startup companies on this year’s list. With 187 people selected, TRON alone captures nearly half of the valuation weight. Other names on the same榜 include AI-sector leaders such as SenseTime, Moonshot AI, and MiniMax.
Sun Yuchen is one of the most hotly debated figures in the crypto industry. The USDD de-peg controversy, multiple times being accused by the SEC, and frequent scrutiny over large transfers on-chain—these are almost common knowledge within the圈. But purely from the numbers, TRON’s on-chain data does appear to support the valuation.
Current TRON (TRX) data:
• Average daily on-chain transaction volume remains consistently in the global top three (Source: TronScan)
• The circulating supply of USDT on the TRON chain exceeds $60 billion, making it the largest stablecoin settlement chain in the world (Source: CoinGecko)
• Protocol revenue in 2025 exceeds $1 billion, ranking among the top across all public chains (Source: Token Terminal)
In the stablecoin settlement space, TRON’s market share is real. No matter how you feel about Sun Yuchen personally, USDT-TRC20 is one of the most widely used on-chain payment tools globally, covering regions with high levels of dollarization such as Southeast Asia, the Middle East, and Africa.
Behind Hurun’s chosen valuation method is a question worth asking: how exactly was the RMB 227.5 billion calculated?
TRON is not a listed company, and it does not release public financial reports. The valuation is derived from TRX market capitalization plus a valuation of ecosystem assets. This kind of approach is common among crypto assets, but it doesn’t align with the logic used to value the AI companies on the same list—typically based on revenue or funding.
To draw an analogy: if you translate Bitcoin’s market cap into an “entrepreneur’s company valuation,” Satoshi Nakamoto would have been number one on the list long ago.
The real signal here isn’t which榜 Sun Yuchen made it onto, but that Hurun—an organization that serves China’s traditional wealth circle—has started placing crypto founders alongside leaders in AI, life sciences, and advanced manufacturing on the same list.
This is another step toward legitimizing asset categories. It doesn’t come from regulators; it comes from recognition within the wealth community.
What do you think of this list?$TRX #胡润研究院
4chan anonymous post accurately predicts BTC topping in October 2025; two cycle models point to a bottom in Q4 2026 at the same time At the end of 2023, an anonymous user posted on 4chan and wrote a specific, month-level prediction: BTC would top on October 6, 2025. And it really happened. This isn’t a retrospective interpretation—there’s a timestamped public record. BTC 2025 cycle high point: about $109,000; the time window closely matches the prediction (Source: CoinGecko historical prices) The prediction is based on two independent cycle-based mathematical models. Core variables: the halving cycle (about 1,064 days) + the historical pattern of how drawdowns from previous bottoms tighten. Currently, BTC is down about 53% from the 2025 high. Historical bottom drawdowns: 2015 -87%, 2018 -84%, 2022 -77% (Source: Glassnode) The next target indicated by both models: a bottom in Q4 2026. Then BTC targets $190,000, ETH $15,000, SOL $1,000 Why should this prediction be taken seriously instead of dismissed as mere noise? First, the timestamp is verifiable. The 4chan post has a public archive and wasn’t written after the fact. This is what distinguishes it from most “I said this earlier” predictions. Second, the cycle math has internal logic. About 12–18 months after the halving, the cycle tends to reach its top; and the bear-market bottom drawdown gradually tightens from one cycle to the next—these two patterns have been highly consistent across the first four cycles. Since two separate models reach the same conclusion, it suggests that even if the assumptions differ, the derivation paths converge. Third, the current position matches the models. From the $109K high, a 53% pullback combined with the historical tightening pattern implies this cycle’s bottom is predicted in the $38K–$45K range within the Q4 2026 time window. This overlaps with multiple independent analysts’ views. If Q4 2026 is truly the bottom of this cycle, then there are still about 3–6 months left until that window. Historically, the final “last leg” before the bottom is often the fastest drop, accompanied by extreme panic and shrinking trading volume. The real question for holders right now isn’t “Is the model right?”—it’s: if the bottom is $38K–$45K, can your position structure hold up until then without getting shaken out. {spot}(NVDABUSDT)
4chan anonymous post accurately predicts BTC topping in October 2025; two cycle models point to a bottom in Q4 2026 at the same time
At the end of 2023, an anonymous user posted on 4chan and wrote a specific, month-level prediction: BTC would top on October 6, 2025.
And it really happened.
This isn’t a retrospective interpretation—there’s a timestamped public record.
BTC 2025 cycle high point: about $109,000; the time window closely matches the prediction (Source: CoinGecko historical prices)
The prediction is based on two independent cycle-based mathematical models. Core variables: the halving cycle (about 1,064 days) + the historical pattern of how drawdowns from previous bottoms tighten.
Currently, BTC is down about 53% from the 2025 high. Historical bottom drawdowns: 2015 -87%, 2018 -84%, 2022 -77% (Source: Glassnode)
The next target indicated by both models: a bottom in Q4 2026. Then BTC targets $190,000, ETH $15,000, SOL $1,000
Why should this prediction be taken seriously instead of dismissed as mere noise?
First, the timestamp is verifiable. The 4chan post has a public archive and wasn’t written after the fact. This is what distinguishes it from most “I said this earlier” predictions.
Second, the cycle math has internal logic. About 12–18 months after the halving, the cycle tends to reach its top; and the bear-market bottom drawdown gradually tightens from one cycle to the next—these two patterns have been highly consistent across the first four cycles. Since two separate models reach the same conclusion, it suggests that even if the assumptions differ, the derivation paths converge.
Third, the current position matches the models. From the $109K high, a 53% pullback combined with the historical tightening pattern implies this cycle’s bottom is predicted in the $38K–$45K range within the Q4 2026 time window. This overlaps with multiple independent analysts’ views.
If Q4 2026 is truly the bottom of this cycle, then there are still about 3–6 months left until that window. Historically, the final “last leg” before the bottom is often the fastest drop, accompanied by extreme panic and shrinking trading volume.
The real question for holders right now isn’t “Is the model right?”—it’s: if the bottom is $38K–$45K, can your position structure hold up until then without getting shaken out.
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