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The US stock public market has not yet provided an official issuance range, but the on-chain pre-market perpetual contracts have already pushed $ANTHROPIC to an implied valuation of over $1.6 trillion.
Pre-market contract prices remain volatile between $1600 and $1842, representing a premium of 65% to 88% compared to the $965 billion private placement valuation in May.
On-exchange funds are trading ahead on the forward expectations of $200 billion annual revenue in 2028, with the probability of reaching a $2 trillion valuation by year-end rising to 53%.
On-chain derivatives liquidity is intercepting the pricing power of US stock primary underwriters across markets, directly converting discounted future cash flows into current leveraged speculation.
When the valuation multiples of US tech giants continue to expand and the official IPO pricing range is above $1.5 trillion, the high premium in the on-chain pre-market will be accepted and established as the baseline floor price.
If the growth rate of computing power investment erodes operating profits, or if the officially disclosed true total shares significantly deviate from the current contract estimate of 1 billion shares, the premium will quickly face a severe basis collapse.
Once the official prospectus valuation returns near the private placement round, the current pre-market market’s first-mover pricing logic will be directly falsified.
In the coming week, focus on observing whether the valuation multiples of the US stock AI sector and the pre-market perpetual contract positions show signals of basis narrowing.
#OpenAI与Anthropic估值竞赛升温 #AMD完成历史最大美元债发行：融资47.5亿美元#AI押注受挫，华尔街交易巨头月亏150亿美元
According to reports, the global major market maker Jane Street suffered a single-month loss of about $15 billion due to AI-related positions, marking a rare massive monthly loss in nearly a decade.
The key point of this incident is not that the AI direction was wrong, but that the market has begun to reassess the risks of "crowded trades."
Many people, upon seeing this figure, might first react by thinking "the AI rally is over."
But I believe a more important issue to focus on is: why would an institution with top-tier quantitative capabilities and risk management systems experience such large volatility on an AI theme?
Because when a direction becomes a market consensus, the risk often does not come from logical errors but from concentrated positions.
Over the past two years, AI-related assets have continued to rise, with a large amount of institutional capital flowing in, and trading logic becoming increasingly similar: betting on continued growth in AI capital expenditure and expanding demand for computing power.
However, when the market experiences volatility, funds moving in the same direction adjusting simultaneously can easily lead to a stampede.
The insight I gained from this event is:
Don’t just look at whether a sector has a future; also consider how much capital in the market has already bet ahead.
If a trade is recognized by everyone, it may still be correct, but the profit potential will decrease, and volatility risk will increase.
The AI trend can continue, but the risks brought by crowded capital need to be priced separately.
Truly mature trading is not only about judging the direction but also about judging when the market has become overly uniform. While retail investors were still eyeing the $BTC 63,000-point candlestick for a breakout signal, Wall Street's smart money had already quietly switched the betting table. In a low-volume game with a $BTC of $63,017.22 (24h -0.04%) and a sharp 40.24% drop in total market volume, the Fear and Corruption Index is firmly stuck at 34 (fear range). The native crypto market is experiencing a market downturn, but according to multi-source information such as Shenchao TechFlow, the compliance on-chain financial track has truly reached a "profit turning point." 📌 ══════════════ [Kalshi Valuation Doubles to 40 Billion in Half Months: A Dimensionality Reduction in the Compliance Prediction Market] What happened: According to Shenzhen TechFlow, compliance prediction market platform Kalshi's valuation soared to 40 billion USD, with Sequoia and Wellington investing another 750 million USD. Its annualized revenue has surged to $4 billion, with sports contracts contributing 80% of trading volume, and it is aiming for an IPO in 2027. In-depth analysis: This is not a simple financing battle report, but a complete monetization of the "attention economy" under a compliance framework. In the past, the crypto prediction market mostly tested the regulatory edge, but Kalshi directly holds the compliance license. The $4 billion annualized income proves that traditional financial capital has found that regulating and securitizing "human gambling on uncertainty" is more profitable than simply speculating on crypto assets themselves. When the prediction market wears the guise of compliance, native crypto trading beginsLet's discuss some details about derivative structures: the funding rates of the three major assets are diverging. The funding rates for $BTC and $ETH remain mildly positive (longs pay shorts), while $SOL has turned negative in the past two days. What does this divergence indicate? For assets with positive funding rates, longs still dominate, and leverage is relatively crowded on the long side; for assets with negative funding rates, shorts start paying, reflecting more cautious sentiment. Even during sideways movement, the funding rate structure reveals where the real capital stands—not just the surface-level "everyone is lying flat" shown by the candlestick chart. From a shorting perspective, holding the asset with the highest funding rate means your position cost is inherently negative. Look at positions to understand the truth; funding rates are the honest ledger that never lies. Given the same sideways market, which leg do you think will weaken more?After rising, it falls; today's script feels a bit familiar.
Coins that were still rising during the day have all retreated by night.
GODS rose 36% during the day, but has now dropped 13%, priced at 0.02474. The 24-hour amplitude is close to 25%, with a high of 0.02855 and a low of 0.02304. Just yesterday, it was said to have broken through the previous consolidation range, but today it was directly smashed back down. The daily chart still shows a bottom area, but those chasing the highs have already been trapped once. The key is the volume is very low, with a 24-hour turnover of less than 50,000 U. For such a liquidity-poor asset, price movements follow capital sentiment closely, with no solid reasons to explain.
KAITO dropped 9.7%, priced at 0.3516, with a 24-hour turnover of 4.16 million U. From the mid-July high of 1.39, it has fallen nearly 75%, with all moving averages diverging downward—MA5 at 0.411, MA10 at 0.571, MA20 at 0.812. This is a typical downtrend, and the rebounds in between are basically bull traps. It has dropped 60% in 30 days and 48% in 7 days. Before confirming a bottom, every rebound could be a new selling point.
MENGO dropped 9.7%, priced at 0.01713, with a turnover of only 17,400 U. Liquidity is extremely thin, and the long-term trend is even worse—down 56% in 90 days and 69% in 180 days. For this coin, price fluctuations don't mean much; the market is inactive, and a single order can move the price several points. Best to avoid it.
A brief summary:
The surge during the day was basically all given back at night. GODS experiences sharp volatility due to insufficient liquidity, KAITO continues a standard downtrend, and MENGO has very low volume and no market interest. Weekend markets are like this—thin liquidity, capital comes in to pump and then withdraws, and those who chase the trend are easily left holding at highs.
This kind of market looks lively, but very few can actually take profits away. As always: weekend rallies in small-cap coins should be treated as rebounds first; don't rush to chase."There's a strange phenomenon in the US stock market right now: everyone is waiting for an interest rate cut."
Lately, many people talk about the US stock market, and it always comes back to one thing:
Interest rate cuts.
It seems like as long as rates are cut, the US stock market will definitely rise.
I actually don't like this kind of simplistic logic.
Because the market isn't a math problem.
It's not that if interest rates drop a bit, stocks automatically go up a bit.
What really matters is:
Why cut?
If the economy is soft landing and corporate profits are still growing, then of course that's quite comfortable.
But if it's because the economy is clearly struggling and the Federal Reserve has no choice but to cut, then the market might not be happy.
This is what I think many people tend to overlook.
Everyone just focuses on "whether rates will be cut," but forgets the reasons behind it.
Also, tech stocks are not exactly cheap in valuation right now.
If the market's expectations for the future are especially high, then a little bit of good news is actually hard to make it continue to surge wildly.
So now, I don't directly treat an interest rate cut as a big positive.
I'm more concerned about whether companies are making money.
If profits keep rising and AI really can bring performance, then even if the market fluctuates a bit, I won't be too worried.
But if in the end there's only a "rate cut story" left, then I actually feel less secure.
What the market fears most is never bad news.
It's when everyone imagines a good news to be too perfect.$GRVT GRVT is the native token of the hybrid derivatives exchange Grvt, founded by former Goldman Sachs/Meta team members, and a core project in the ZKsync ecosystem. TVL has risen from 11.3 million to over 100 million USD, with monthly trading volume once reaching 51.6 billion USD. It has raised approximately 33.3 million USD in total funding, making its fundamentals strong among similar projects. However, the total supply is 1 billion, with only 114 million currently circulating, a circulation rate of just 11.4%. The FDV is more than 8 times the market cap, and the tokens held by whales are 8 times the amount available on the market. On August 29, there will be a 20% token unlock, which will increase the circulating supply by 20%. In such a thin liquidity market, any unlock represents selling pressure. Note a macroeconomic data point often overlooked in the crypto space: Israel's Q2 GDP surged 15.4% year-over-year, far exceeding the market expectation of 8.3%, after a 2.2% contraction in Q1. This is a typical "post-war recovery trade"—contraction during conflict, rebound after ceasefire, led by exports and consumption. Why is this worth watching? Because it reflects how risk assets price in geopolitical events: the market no longer treats Middle East conflicts as a sustained safe-haven reason, but rather as a "one-time shock + rapid mean reversion." This also explains why recently $BTC has been almost indifferent to Middle East news. Focus on data, not sentiment; the marginal impact of geopolitics is rapidly fading. Do you still believe the old narrative that "war benefits safe-haven assets"?"If the Nasdaq suddenly plunges tonight, the first thing I won't look at is the index, but Nvidia."
Why?
Because AI has now become a very important sentiment anchor in the US stock market.
It's normal for the index to drop a bit.
But if Nvidia suddenly shows a clear weakness, and it's not just Nvidia falling alone but the entire semiconductor sector moving together, then it deserves serious attention.
Because this often indicates that capital is starting to reduce its risk appetite for the AI theme.
The reverse is also true.
If the index weakens at some point, but Nvidia is quickly pulled up by capital and other semiconductor stocks also recover, then I wouldn't be too pessimistic.
So when watching US stocks, sometimes you can't just look at the Nasdaq's rise or fall by a few points.
The index is the result.
The leader reflects the sentiment.
Of course, I don't think Nvidia can represent the entire market.
Financial stocks, energy stocks, consumer stocks all have their own logic.
But at this stage, tech stocks do have a significant impact on market sentiment.
So if there really is a big fluctuation tonight, the first thing I want to see is not the news headlines.
But whether capital has actually abandoned AI.
If not, then it might just be normal volatility.
If it really starts to withdraw, then it's not just a simple intraday fluctuation."Apple's Biggest Opportunity Now Might Actually Come from AI Anxiety"
Apple has felt a bit awkward these past few years.
Phones are still selling.
The ecosystem remains strong.
Cash flow is also very good.
But the market always feels it lacks a new story.
That story now is called AI.
Many people therefore think Apple is falling behind.
I don't necessarily think so.
Apple's real strength has never been that it invents something first.
Rather, it is very good at turning mature technologies into products that ordinary people want to use every day.
If AI truly enters phones, computers, headphones, watches, even cars and home devices in the future, Apple actually has a natural advantage:
It already has a massive user base.
This is very important.
The hardest thing for AI companies is not building a model, but finding an entry point to a billion users.
Apple already has that entry point.
So my current judgment of Apple is simple.
If it can turn AI into something ordinary people use daily, the market might give it a chance for a valuation boost again.
But if it ends up just "we also have AI," then it's meaningless.
What Apple really lacks is not the AI concept.
It lacks a product that can excite the market again.
If that product appears, the story could be completely different."What is Nvidia's biggest risk really? I think many people have it wrong."
The most common saying about Nvidia nowadays is:
"The biggest risk is that the valuation is too high."
This is true, but I think it's not enough.
What Nvidia truly needs to face is whether the entire AI industry will eventually enter a phase where "the speed of spending money exceeds the speed of making money."
Right now, everyone is willing to pour money into building AI.
Buying chips, building data centers, expanding computing power.
Why?
Because everyone believes AI will make big money in the future.
But here’s the problem.
If a few years from now, people find AI is indeed very useful, but the number of customers truly willing to pay big money for it long-term is not as many as imagined, what will happen?
Can the upstream chip demand still maintain this explosive growth rate?
This is what I really care about.
So I am not bearish on Nvidia.
On the contrary, I think it is a very important company in the AI industry.
But the better the company, the more you need to study what its core expectations are.
The biggest fear in investing is not buying a bad company.
It’s buying a good company and then realizing you have already paid for the best possible outcomes for the next few years.
The company is not at fault.
The price might be wrong.
These two things must be viewed separately. Next week's macro calendar is packed: Federal Reserve meeting minutes (Thursday), China's economic report card, tech giants' earnings week, and Jackson Hole at the end of the month. Interestingly, $BTC's implied volatility (DVOL) has been suppressed at a low level these days, with the market moving sideways in a straight line — the market is pricing in "a calm week." But historically, the lower the volatility is pushed, the more cautious you should be about the reflexivity of event weeks: once the minutes or data provide direction, the longer the spring has been compressed, the stronger it will bounce. I have several short positions, with holding costs during the sideways period covered by positive carry, truly waiting for next week's variables to unfold. Data won't play games with you, first clearly observe the position of volatility. Which event do you think is most likely to break this dead calm next week? "What happens when Bitcoin is at its craziest? I think it's not as simple as everyone being bullish.
Many people imagine a Bitcoin bull market with one scene in mind:
Everyone is buying like crazy.
The media reports on it every day.
Everyone in your social circle is discussing the coin price.
But I think the truly dangerous time is even more complicated than this.
In the late stage of a real big market, the market will have a very strange feeling:
You will feel that 'not buying is the stupid move.'
Others are making money just by casually buying a little.
People around you start showing off their profits.
Even those who originally knew nothing about finance begin studying candlestick charts.
At this time, market sentiment becomes very terrifying.
Because the profit effect is real.
You see others making money, and that is true.
So you develop an illusion:
"This time is different."
Many bubbles in history were formed exactly like this in the end.
So if I see Bitcoin being discussed by everyone and a crazy chase for gains in the future, I won’t immediately think the market is bad.
But I will definitely start to be more cautious.
The times truly worth buying are usually not so lively.
The times you really need to sell are often when everyone is telling you "it can still go up."
The market is just so counterintuitive.
So my biggest experience with Bitcoin is just one sentence:
Don’t put all your chips in when everyone thinks they have found the secret to getting rich.""The thing that reassures me most about Microsoft now: it's not gambling on AI, but integrating AI into its business"
Many companies talk about AI, but I usually just tune out after listening.
Because you never know if it will actually make money in the end.
Microsoft is different.
Its biggest advantage isn’t how amazing its AI models are.
It’s that it already has a huge base of enterprise customers.
Office, Windows, cloud services—these are cash flow generators by themselves.
Now it’s just gradually integrating AI into these.
To me, this is much more reliable than simply telling an "AI story."
Because enterprises are already paying.
In the past, enterprises bought Microsoft for office and cloud.
In the future, they might buy AI services together.
This logic is actually very simple.
If a company originally spends 100 units a year with you, and in the future because of AI it becomes 120 or 150, then your growth is realized.
So I’ve always thought that after AI truly scales commercially, the most comfortable companies won’t necessarily be the best storytellers, but those that already have business and then conveniently turn AI into a second revenue opportunity.
Microsoft is exactly this type.
Of course, stock price is always another matter.
A good company doesn’t mean any price is worth buying.
This is also the easiest thing to overlook in investing:
A great company and a cheap stock are never the same thing.$PUMP Short term: Most likely to fluctuate between 0.00255-0.00290, with 0.00269 as the short-term watershed.
Medium term: The platform's annualized revenue of $349 million is real money, about $29 million monthly income, half of which is used for buybacks. But the 487.5 billion unlocked tokens hang like a sword overhead. PUMP fell from the ICO price of 0.004 to 0.0027, a 32% drop. Whether this wave is a rebound or a reversal depends on whether buybacks can continuously counteract the selling pressure from unlocking. If buyback strength continues and platform revenue remains high, PUMP may gradually absorb the unlocking pressure; if unlocking accelerates or platform revenue declines, the 0.0025 support may be tested again.
---
PUMP is at 0.0027 today, with the platform buying back nearly $1 million daily to support the price, but the shadow of 82.5 billion unlocked tokens still looms. Whales use buybacks to push the price up to 0.0029 to sell, then dump once retail investors have taken over. Control your hands, wait for 0.00258 to confirm support or 0.0029 to confirm a breakout before acting. Remember, in crypto, surviving longer is ten thousand times more important than making more money. Meeting adjourned!"Apple's Most Dangerous Place Now Is Not That iPhones Aren't Selling"
Many people analyzing Apple like to discuss iPhone sales.
I think this is actually no longer Apple's most important issue.
The real challenge Apple faces is where the next generation of entry points will be.
For the past decade or so, the phone has been the entry point.
If you want to go online, chat, shop, or watch videos, you first pick up your phone.
But after AI emerged, this logic may gradually change.
In the future, when we interact with machines, we might rely less and less on traditional apps.
Just say a sentence directly to AI, and it gets things done.
Then the question arises:
Can Apple still control this entry point?
This is what I truly care about.
Apple's biggest advantage has never been selling tens of millions more units of a certain iPhone generation.
It's that it has a complete ecosystem and a large number of loyal users.
If AI can ultimately be well integrated into this ecosystem by Apple, then Apple could completely benefit from another wave of dividends.
But if the core entry point of the AI era is taken by others, then things are completely different.
So when I look at Apple, I don't like to predict next quarter's sales.
I want to see if it can continue to firmly keep users within its own ecosystem in the AI era.
If it can, Apple is still Apple.
If it can't, then the market's valuation logic for it may really need to be rewritten. Someone asked me, if I could only choose one direction in the US stock market now, what would I pick?
I actually wouldn’t rush to name a stock ticker.
Because stocks can change, but industry logic doesn’t change easily.
What I’m truly interested in right now is the entire AI industry chain.
In the past, everyone only focused on Nvidia.
Later, people started researching Microsoft and Amazon.
Then, some began studying data centers, power, servers, cooling, and network equipment.
I think this is actually a more normal development process.
Because AI isn’t just about one company.
Behind it is a whole set of infrastructure.
If you want the models to get stronger, you need more and more computing power.
As computing power increases, you need more servers.
With more servers, you need more power.
As power demand rises, it drives energy and infrastructure.
So the real big market trend usually doesn’t stay concentrated in just one stock.
It gradually spreads.
Of course, this also means risk.
When an industry heats up, the easiest thing to happen is everyone starts telling the same story.
A company originally worth ten dollars might rise to fifty dollars just by talking about AI, so there might not be much value left to capture.
So now when I look at AI, I don’t ask “Can it still go up?”
Instead, I ask:
Is this company actually making money?
Is its business inseparable from AI?
If the AI market cools down, can it still survive well?
Only by answering these three questions can you talk about the long term.A few numbers jotted down casually over the weekend, no discussion on direction
$ETH's volatility today is only $9.2. I checked nearly 45 daily candles on OKEx; today is the only day in the past month with daily volatility below $10. The average daily move in the past month was about $50, today is only 20% of that.
$BTC spot is even quieter. Trading volume until 10 PM today is about 588 BTC, while Friday was 6402 BTC, roughly 9% of that day. The average daily volume on weekdays in the past half month is close to 5000 BTC. Weekend volume usually drops, but this level of drop is still rare.
Funding rates are almost at the baseline: BTC around 0.009%, ETH exactly 0.01%, settled every eight hours. Neither longs nor shorts are willing to pay to fight for position. Leverage sentiment is also flat.
ETH/BTC is still hovering around 0.0298, and the exchange rate hasn't shown an independent trend.
Just keeping a daily record. These weekend numbers themselves look better than candlesticks. Prices can move sideways; extremes often appear when volume and volatility drop together. When volume returns, I'll note it again later. "The biggest problem with the US stock market right now isn't that it's expensive, but that everyone has overly optimistic expectations for the future."
Lately, I've increasingly felt that when looking at the US stock market, you can't just focus on whether the valuation is high or not.
Because the concept of "expensive" itself is meaningless.
Whether a company is worth buying ultimately depends on whether it can continue to make money in the future.
Is Nvidia expensive?
Is Microsoft expensive?
Is Apple expensive?
Just citing a price-to-earnings ratio alone, I don't think it convinces anyone.
What really makes me a bit cautious is that the market's expectations for the future are becoming increasingly uniform.
Everyone assumes AI will continue to explode.
Assumes tech company profits will keep growing.
Assumes interest rate cuts will come.
Assumes liquidity will improve.
You'll find that many things have shifted from "possibly happening" to "the market believes they should happen."
This is where it gets interesting.
What the market fears most isn't bad news.
It's that good news stops getting better.
For example, Nvidia's performance is still good, just not as exaggerated as everyone fantasized.
The stock price might still fall.
Because the market isn't trading on "good or bad," but on "whether it's better than expected."
So when I look at the US stock market now, the biggest risk isn't a sudden crash.
It's that one day everyone suddenly realizes:
We've already priced in the good news for the next two or three years in advance.
At that point, even if the company hasn't gotten worse, the stock might fall first.
This is the biggest problem with a high-expectation market. The greatest significance of tokenizing U.S. stocks is that it bridges the boundary between traditional secondary markets and crypto finance, enabling real equity assets to circulate on-chain. Traditional stocks can only be bought and sold unidirectionally, with holdings remaining silent; tokenized stocks can be pledged, reused, and combined, greatly improving asset capital utilization. For ordinary investors, the threshold is lower, trading is more flexible, and settlement is more efficient; for the market, it reduces manual reconciliation, lowers default risk, and enhances capital market operational efficiency. However, the current market is still in the early pilot stage, with most platforms' tokenized U.S. stocks only replicating price gains and losses without fully inheriting shareholder rights, posing underlying compliance and ownership confirmation risks. Additionally, liquidity is scarce outside trading hours, making irrational fluctuations more likely. Overall, tokenization greatly expands the financial attributes of traditional stocks, and after compliant implementation in the future, it will become an important new model for global asset circulation. $SNDK #消费动能转弱，9月政策仍受通胀制约 #英伟达深入AI资本链，协同与风险如何平衡 "Tonight, I'm cautious about the US stock market; the biggest fear for AI this round isn't a drop, but suddenly running out of stories."
Recently, there's been an interesting phenomenon in the US stock market.
You'll notice that people still talk about AI, Nvidia, Microsoft, but what really drives the market upward seems to be running out.
What does this mean?
In the past, whenever there was good news about AI, capital would get excited for several days.
Now?
Good news comes out, the market rises for a day, then the next day people start questioning if the valuation is too high.
What does this indicate?
I think the market has moved from "believing in AI" to "demanding AI to show report cards."
This is actually a good thing.
Because a true bull market can't rely on storytelling forever.
If Nvidia can continue delivering impressive results, of course, no problem. The issue is, if growth slows down in the future, even if the company remains excellent, the stock price might not be as forgiving as before.
So, looking at the US stock market now, I'm not particularly aggressive.
The index might not drop immediately, but I think it will become increasingly differentiated.
Big companies with real earnings, cash flow, and moats will still attract capital.
Purely riding the AI hype might become increasingly difficult.
The same logic applies to Bitcoin.
When the market gets excited, it likes to link Bitcoin with tech stocks.
But I think Bitcoin ultimately has to follow its own path.
If the US stock market remains strong in the coming weeks but Bitcoin weakens, that's when you need to be cautious.
The market never tells you in advance where the top is. BTC holding near $63,000 while ETH and SOL barely move is not a signal of conviction. It looks more like a market compressing risk into a narrow range as weak consumption, a divided Fed and the S&P 500 earnings gap complicate the macro picture.
My bias is cautious: crypto can remain stable if ETF demand offsets leverage, but that balance is fragile. With Hormuz risk still appearing underpriced and AI infrastructure $BTC #WeakConsumptionFedSplit #SP500EarningsGap "Yangtze River Dynamics"
Many people say that recently Li Ka-shing has made big moves, similar to when he sold off real estate back then, frantically selling overseas assets, predicting a financial crisis.
The truth is not an economic crisis, but a global order crisis.
A financial crisis is just asset price fluctuations; the cycle will come and recover.
An order crisis means the rules of the game have changed.
The era of globalization with capital flowing without borders is over, geopolitical competition is intensifying, and overseas heavy assets face policy adjustments and contract restructuring at any time.
Even infrastructure like the UK power grid and ports, which used to generate easy profits, now face the greatest risk not from profit decline but from instability in asset control.
Li Ka-shing is liquidating perpetual cash flow assets at high levels, with the core logic:
Shifting from pursuing long-term high returns to prioritizing control over asset security.
The most important lesson for ordinary people:
Going forward, when allocating assets, liquidity should take precedence over yield.
Reduce long-term locked heavy assets and keep sufficient cash safety cushions;
Be cautious with cross-border investments and reduce leverage;
For any investment, first ask yourself: if the environment changes drastically, can I smoothly liquidate and protect my assets? $PUMP Decline Reasons: On July 13, 82.5 billion tokens were unlocked. The team and investors collectively hold 330 billion PUMP tokens, and this time only one-quarter was unlocked, with 247.5 billion tokens still locked. The buyback ratio was cut from 100% to 50%, and the buyback amount in June dropped to $9.2 million, a decrease of over 80% compared to before. The Meme coin sector as a whole is under pressure, with most Meme coins that previously had market caps over 100 million still in decline or bottom consolidation phases.
Reasons it can't fall further: The platform's nearly $1 million daily buy orders are real money, and the 0.002587 SUPERTREND is the last mid-term bullish defense line; as long as it doesn't break, the mid-term structure remains intact. The 0.002692 lower Bollinger Band has been tested multiple times and each time it has been pulled back. If ETH and SOL push for inflation reduction, scarcity will significantly increase; however, ETH's proposal is highly controversial, while SOL's is more likely to be implemented, and staking yields will be compressed.
Why reduce inflation
- Dilution pressure: Continuous issuance dilutes the purchasing power of non-staked holders, affecting long-term holding willingness
- Security and cost balance: Avoid unnecessary high inflation costs while ensuring network security
- Institutional narrative: Moving towards lower, more predictable inflation helps attract traditional capital allocation
Key proposals and progress of the two chains
- ETH｜EIP-8361 (progressive issuance burn): As the staking rate rises, gradually increase the burn ratio of validator rewards; when staking rate reaches 50%, burn 100% of issuance, effectively "turning off" issuance incentives
- Progress: Still a draft, no schedule or vote, community controversy is high, short-term implementation probability is low
- SOL｜SIMD-0550: Raises the annual "deflation rate" from 15% to 30%, faster approaching the long-term inflation target of 1.5%; expected to reduce issuance by about 18.9 million SOL over six years
- Progress: Simplifies and replaces the previously rejected aggressive plan, enjoys higher community support and greater likelihood of implementation
Possible impacts: trade-off between scarcity and yields
- Scarcity increase: Grayscale expects that if the proposals pass, BTC and ETH annual inflation could drop to about 0.4% over the next five years, SOL about 1.1%, lower than gold's 1.8% and the US CPI's 3.3%
- For stakers: rewards depend on issuance, so inflation reduction will directly compress staking yields; under current staking rates, EIP-8361 could reduce consensus layer annual yields from about 2.6% to about 1.2%
- For non-staked holders: supply growth slows, long-term purchasing power is more stable, potentially stronger price support
Current data: understanding the starting point of changes
- ETH current inflation: about 0.5%–0.8%
- ETH staking rate: over 34.7% (about 41.89 million), a historical high
- ETH staking yield: about 2.6% (excluding MEV and priority fees)
- SOL current inflation: about 4.18%–5.3%
- SOL staking yield: about 6.5%–7%
Implementation and pace: uncertainty remains
- ETH: EIP-8361 is highly controversial and unlikely to be implemented soon
- SOL: SIMD-0550 has higher community support and is more likely to advance
Recommendations
- Monitor governance signals: prioritize tracking SOL's SIMD-0550 voting and activation pace; observe ETH's EIP-8361
- Manage yield expectations: if inflation reduction is implemented, staking yields will be compressed, so adjust yield expectations downward in advance
- Assess holding structure: non-staked holders benefit more from increased scarcity; stakers need to weigh the combined impact of "yield decline" and "potential price support." 🚨【SNDK下周走势预测】闪迪连续暴涨后，还能继续冲吗？ SNDK这波是真的疯狂。 8月13日暴涨约14%，8月14日继续上涨，最终站上$1640附近。 本周涨幅接近35%！ 但问题来了： 下周还能继续涨吗？ 我的判断： 🔥趋势仍偏多，但短线追涨风险已经明显上升。 ━━━━━━━━━━ 💥【为什么我仍然看多？】 Investor Day直接把故事讲到了2030年： 📈 FY2028-FY2030营收预计保持中高双位数增长 📈 毛利率目标约80% 📈 自由现金流率约50% 📈 AI存储需求持续增长 📈 多年期客户协议提高订单确定性 这不是单纯炒一个财报。 市场正在给SNDK重新估值： 传统NAND周期股 → AI存储增长股。 这也是这轮暴涨最核心的逻辑。 ━━━━━━━━━━ ⚠️【但下周最大的危险也来了】 现在最大的问题不是SNDK有没有故事。 而是： 故事已经被市场炒了多少？ 8月14日已经冲到$1640附近，短线获利盘非常厚。 所以我认为下周最可能出现： 🔥 高位震荡 🔥 再次冲高 ⚠️ 冲高回落 ⚠️ 快速洗盘 而不是简单的一路直线暴涨。 ━━━━━━━━━━When will the bull market arrive? When will the big rebound start? This article tells you the 3 most critical data points.
To truly kick off a decent rebound, three conditions must be met simultaneously.
First, the whales on Hyperliquid must switch from short to long positions. Right now, they are still short, with some big players even holding 40x leverage shorts and making money. Without this switch, don’t expect shorts to get squeezed out.
Second, Bitfinex whales have already started buying long. This condition is currently met, indicating smart money is accumulating at the bottom.
Third, the negative Kimchi premium and Coinbase premium must disappear. The Coinbase premium has been negative for 90 consecutive days, a record, showing weak buying on the US side. The Korean market also often shows a negative premium. If these two don’t turn positive, it means global major funds haven’t truly entered the market yet.
Currently, only one of the three conditions is met.
So don’t be fooled by occasional rebounds. A real full-scale rebound requires Hyperliquid whales to flip long and both premiums to turn positive. That will be the true signal of capital flooding in.
Before that, the market will most likely remain volatile and weak or continue to grind. $BTC $ETH Today's market seemed to be on silent; $BTC moved only 0.02% throughout the day, $ETH fell just 0.11%, but gold and crude oil were put in real money. Wall Street talks about AI but keeps its eyes fixed on the interest rate wine, while the crypto market votes with its feet—big money only dares to flip hands between $ETH and $BTC. Outline of this article - 🔍 Signals from assets are very divided - 📊 Trading volume shows funds haven't left, just become picky - ⏳ All macro feedback is 'wait' - 🎯 Crypto response: Staying in $BTC and $ETH liquidity Today's snapshot $BTC 63,008, +0.02% $ETH 1,880, -0.11% $QQQ -0.14%, $SPY -0.20%, Dow 53,732.41, -0.20% $DXY -0.31%, $GLD + 0.63% $IBIT -0.70% VIX 14.26, -2.60% US Crude Oil (USO) 126.6, +1.26% 1. Signals from Assets Are Very Divided 🔍: Stocks, coins, gold, forex, oil—none of the five lines are willing to follow others today. This is the most important thing to watch out for—not panic, but everyone trading in their own way. $BTC +0.02%, $ETH -0.11%, almost flat on the floor; $QQQ -0.14%、$SPY -0.20%、Did you know?
Weekly Macro Outlook: Fed Minutes and PMI Incoming, Can Korean Stocks Continue Their Technical Bull Market?
The market is closely watching three key variables
The current technical bull market in Korean stocks is fundamentally supported by uninterrupted AI demand, but the critical point is too concentrated. The Fed minutes and PMI are just short-term rhythm variables; what truly determines whether Korean stocks can keep rising is whether the semiconductor boom can shift from "expectation" to "sustained cash flow."
Breaking down the three variables one by one:
First, the Fed minutes (early Thursday). In July's FOMC, the rate was held steady by a 9-3 vote, with three dissenters advocating a rate hike. The minutes will reveal more details about internal disagreements. The market most wants to know—besides those three public dissenters, how many members privately lean toward a rate hike. Currently, the probability of a September rate hike has dropped sharply from 75% in late July to 33%. If the minutes are dovish, risk assets can continue to catch their breath; if the minutes show more hawkishness than expected, rate hike expectations might bounce back.
Second, the US and European PMIs (Friday). The preliminary August S&P Global Manufacturing and Services PMIs will be released on Friday. July's ISM Manufacturing PMI already reached 55.6, expanding for seven consecutive months. The issue is the market now wants "just right" rather than "too strong"—too strong would reignite rate hike expectations, too weak would trigger recession fears. The Services PMI covers about 70% of US GDP, with the price subcomponent especially critical.
Third, the Korean stock technical bull market. The KOSPI has rebounded over 22% from the July 30 low, completing a bear-to-bull transition in 10 trading days. The fundamental support is uninterrupted HBM and AI memory demand, combined with capital replenishment after leverage clearing. Morgan Stanley targets 9000 points, Goldman Sachs is more aggressive at 12000 points. But the critical point is too concentrated—Samsung and SK Hynix together account for nearly half of KOSPI's weight, and any slight fluctuation in the AI narrative can cause this "semiconductor single-core bull" to swing violently. Korean regulators just raised the leverage ETF threshold from 10 million to 30 million KRW; leverage clearing has indeed cleaned up the chips, but it also means future gains require real fundamental support, not leverage stacking.
This rebound in Korean stocks is essentially a double hit of "AI not dead + leverage clearing." With dovish minutes and moderate PMI, there could be another short-term push. But don't forget there's a geopolitical variable hanging—the Hormuz agreement between Iran and Oman is close to being finalized, the US is not involved in the talks, and actual shipping volume remains very low. If the agreement is implemented, oil prices might drop again; if it falls through, oil prices could rebound at any time. The direction of Korean stocks is likely upward, but there will definitely be fluctuations along the way. #交易之声：你的经验值得被听到 "Will Bitcoin Become a Global Asset Standard in the Future? A Financial Revolution Is Unfolding"
Over the past few decades, global investors have mainly focused on stocks, bonds, gold, and real estate when allocating assets.
But now, a new asset class is entering more people's view:
Digital assets.
Bitcoin, as the most representative of these, is changing people's understanding of wealth storage.
Why are more and more people paying attention to it?
Because Bitcoin has several unique characteristics.
Its quantity is limited.
It circulates globally.
It operates on a decentralized network.
These features lead many investors to believe it aligns with the development direction of the digital age.
In the future, if the global economy continues to digitize and financial transaction methods keep evolving, the importance of digital assets may further increase.
Of course, Bitcoin's development will not be smooth sailing.
Regulatory changes.
Market volatility.
Investor sentiment.
All will affect its progress.
But major innovations in history have all faced skepticism.
When the internet first appeared, some thought it had no value.
When smartphones first developed, some thought they were just entertainment devices.
Ultimately, technologies that truly change the world have been validated over time.
In the future, Bitcoin's greatest value may not be a specific price number.
Rather, it is whether it can become an important part of the future financial system.$BTC 六万三，24 小时一分没动。表面上风平浪静，底下两件事在悄悄变，我觉得比价格本身值得看。 第一件，买盘在反转。之前一阵子总听到"ETF 资金在流出"，但这两天机构的动作是反的：摩根士丹利又增持了一百一十来个 BTC，总持仓第一次破了六千六百个；萨尔瓦多这个"国家级玩家"过去七天也加了八个，手里攒了四亿多美元的 BTC。ETF 那头的具体资金流数据我今天没抓到，但光看机构和国家这两个大买家的动作，低位接盘的姿势很明显。 第二件，杠杆仓位在回升。有个数据挺扎眼：如果 $BTC 突破六万五，主流交易所上空单的累计清算强度会达到两亿四——意思是六万五上方堆了一堆空头杠杆仓位，谁先突破，谁就把对方的仓位点爆。杠杆仓位回升，说明多空双方都在六万五附近下了注，谁也不服谁。 价格这边，短线其实是偏弱的：六万三站在五日线（六万三千二）下面，十日和二十日线（六万三千九左右）都压着头，短线热度指标掉到 30 出头，接近超卖。但超卖在低位接盘的环境里，往往不是坏事——跌不动了，才有人敢接。 所以我的看法很简单：低位有人接（机构、国家），上方有火药（六万五的空头清算），这种结构最怕的就是"磨"——磨到The most authentic connection between $BTC and AI is not AI coins, but electricity
When the AI concept heats up, the crypto community always likes to look for AI tokens. But the most authentic connection between $BTC and AI is actually not token narratives, but electricity. AI model training requires data centers, and Bitcoin mining also requires electricity. Although one seems to be cutting-edge technology and the other a crypto asset, both compete for the same underlying resource: cheap, stable, and scalable energy.
This is also why the market pays attention when mining companies transition to AI data centers. In the past, miners' valuations mainly followed coin prices, but now the market is starting to re-evaluate their power contracts, site resources, and data center renovation capabilities. AI companies lack computing power, miners have electricity and sites, so capital naturally connects the two.
For $BTC, this trend is very interesting. Previously, outsiders criticized mining for consuming electricity, but now with AI, everyone suddenly realizes that "access to electricity" itself is a core competitive advantage. Energy is not an abstract concept; it has geographic location, grid connection capability, price cycles, and policy constraints. Whoever can efficiently dispatch electricity holds influence in the digital economy.
But $BTC does not need to package itself as an AI asset. AI sells productivity, $BTC sells scarcity. Miners can transform, computing power can switch clients, capital can chase trends, but the $BTC network itself still only does one thing: use energy and consensus to maintain a fixed-supply monetary asset.
The hotter AI gets, the more expensive electricity becomes; the more important electricity is, the more the market will re-understand that Bitcoin mining is not simply "burning electricity." It is more like a mechanism that converts energy into globally liquid value.
This logic is not flashy, but it is solid. $OKB First, the overall market is sideways, and OKB strengthened against the trend before profit-taking occurred. OKB rose from 71.43 on July 27 to 105.82 on August 14, an increase of 48% in three weeks. While the market hovered around 63,000, OKB strengthened against the trend, accumulating a large amount of profit-taking positions. It is normal for profit-taking to concentrate when the market is unstable.
Second, the aftermath of the OKX on-chain asset theft incident is still ongoing. At the end of July, the OKX on-chain asset theft incident triggered market concerns about OKX's security. Although OKX officials have addressed the issue, panic sentiment continues to spread, and some funds are withdrawing.
Third, price splits across exchanges, with manipulators profiting on both ends! On Gate, OKB perpetual contracts are at $53.70, while OKX spot is at $104.29, nearly double the price difference. Manipulators accumulate at low-priced exchanges and sell at high-priced ones—those who chase the price when the spread narrows get trapped. Today, OKB pulled back to 103.75, and manipulators are exploiting this price difference for arbitrage operations.ETF Buying, But BTC Still Stuck
$BTC and $ETH ETF have seen strong inflows—$865M and $244M in five days—yet BTC remains near $63K, $ETH below $2K
The reason Spot ETF buying may be offset by CME futures hedging creating neutral arbitrage instead of true directional demand
Technically this looks more like a tightening triangle than a classic head-and-shoulders. A false break below $61K could sweep longs and trigger a sharp rebound from the $58K–$60K zone.
#WeakConsumptionFedSplit #SP500EarningsGap Anthropic is preparing for what could be one of the largest IPOs in history. To price this company, Wall Street is calculating not only current profits but also its revenue two years from now. According to Reuters, Anthropic expects revenue to reach $190 billion to $200 billion by 2028.
In comparison, the company disclosed an annualized revenue run rate of about $47 billion in May this year, and only about $9 billion by the end of 2025.
The company expects revenue of at least $10.9 billion in Q2 2026, with the potential to achieve approximately $559 million in quarterly operating profit for the first time. Facing such rapid growth, banks and investors are valuing the company based on future revenue multiples, using Palantir, Cloudflare, and SpaceX as references.
The problem is, these companies themselves enjoy very high valuations, meaning the market is using an expensive benchmark to value an AI company that is still heavily investing in GPU purchases, model training, and team expansion. Simply put, Anthropic’s IPO is not selling current profits but a premise: future revenue growth must consistently outpace compute and operating costs, and as scale expands, profit margins will naturally improve. However, while Anthropic’s growth rate is indeed impressive, basing the valuation on 2028 projections is itself a risk signal in the capital markets.
Reaching $200 billion in revenue is one thing, but how much compute investment is required to achieve that figure, and比特币在62000至64000美元区间持续震荡，链上数据揭示了这一价格平台背后的筹码换手格局。链上监测显示，持有10至10000枚BTC的大额地址（即市场俗称的“鲸鱼”与“鲨鱼”群体）在7月底至8月初的震荡期内，累计净增持约16000至20000枚BTC，按当前价位折算价值约10至12亿美元。同期交易所储备净流出约8000至11000枚BTC，这部分是真正从交易市场转入冷钱包的实打实筹码。 但链上增持并不等同于全部经由现货市场买入。部分数据来自大户之间的场外交易和内部钱包划转，并非每一枚都在62000至64000美元区间从交易所直接吃进。真正从交易所提走、脱离流通盘的净流出量约8000至11000枚BTC，其余增持份额源于大户之间OTC换手。 值得注意的是，与鲸鱼增持形成对照的是，持有100至1000枚BTC的中等地址在同一位置持续减仓，散户地址持有量也同步下降。筹码正从中小投资者手中向鲸鱼地址集中，呈现典型的吸筹特征。 不过，合约市场并未出现同步的暴力做多信号。现货层面，鲸鱼采取的是分批小额承接的战术性买入，而非不计成本的激进建仓，这解释了为何价格始终被锁定在区间内，迟迟未能放量突破#Tether首次完整审计：透明度成焦点
I am Cige, and Tether has completed its first full audit.
On August 13, KPMG's US branch issued an unqualified audit opinion on Tether International's 2025 financial statements, covering the balance sheet, income statement, statement of changes in equity, and cash flow statement. They reviewed underlying evidence such as reserve assets, token liabilities, trading systems, and valuations. As of the end of 2025, audited reserves exceeded liabilities by $6.814 billion.
This is the first full audit report in the stablecoin industry issued by one of the Big Four accounting firms. Previously, Tether only released a comfort letter confirming the existence of reserves but did not review cash flows, liability structures, or internal control processes. A full audit requires verifying underlying data, confirming asset valuations, and assessing going concern ability. An unqualified opinion means KPMG believes the statements fairly reflect the financial condition.
The impact on BTC is structurally positive in the medium term. USDT circulation exceeds 180 billion and is the core pricing currency for BTC trading. Increased reserve transparency will lower compliance barriers for institutions allocating BTC. The $6.814 billion excess reserve safety cushion is sufficiently thick. Going forward, it is necessary to observe whether regular audits can be established and whether the audit scope covers the entire circulation.
Tether has crossed a threshold in the stablecoin industry; transparency improvement is the long-term path. Cige has finished speaking, savor it. $BTC $ETH $SNDK #Anthropic Tokenization Premium 65%–88%, Is AI Asset Pricing Completed On-Chain?
@WuBlockchain caught this on Friday: Binance's Pre-IPO perpetual contract segment launched the Anthropic tokenized asset ANTHROPICUSDT, which has been actively traded with prices fluctuating between $1600 and $1842; based on the contract's set benchmark total shares of 1 billion, the pre-market derivatives imply an Anthropic valuation of about $1.6 trillion to $1.84 trillion. @blckchaindaily directly headlines: "65–88% premium to $965B private round" — compared to the $965 billion private round valuation in May, the on-chain tokenization already shows a 65-88% premium on paper.
This isn't an example I sought out — it's a fact this week that public market traders have started actively pricing AI assets with derivatives before the IPO listing.
## What On-Chain Pricing Is Doing Should Originally Be Done by IPO Lead Underwriters
The historical valuation path is roughly: private round pricing → gradual increase during roadshow → IPO pricing range → listing. Anthropic's current wave has skipped two steps directly via on-chain contracts — May's private round valued at $965 billion; August's Binance pre-market perpetual implies valuation at $1.6-1.84 trillion; the main IPO is still in confidential filing stage, not officially priced. @MarioNawfal bluntly states: "Anthropic is heading for one of the biggest IPOs ever, and Wall Street is pricing it on money it hasn't made yet."
Reuters originally cited Anthropic's 2028 revenue forecast at about $190-200 billion, running on annual revenue valuation multiples — but the market can't wait for the October IPO, and some are already using contracts to hit that multiple. DEXs like Aster and Hyperliquid also launched ANTHROPIC pre-IPO perpetuals the same week.
## Two On-Chain Markets Setting Two Prices for One Event
Polymarket itself is pricing Anthropic to reach a $2 trillion valuation by year-end — with a 53% probability. From another market perspective: Binance/Hyperliquid/Aster use derivatives to directly bet on Anthropic's current valuation range, while Polymarket bets on the event probability of the year-end valuation doubling. Both sides are pricing the same event — whether Anthropic falls between $965 billion and $2 trillion, and the probability of hitting $2 trillion. The two price signals anchor each other.
## Warning Signals Are Not Absent Either
Steve Eisman (the prototype for "The Big Short") publicly warned: "OpenAI and Anthropic are the Achilles' heel of the AI industry." @Bluntz_Capital offers a counter calculation: "if Anthropic IPO's at 2T and Grok is now a frontier model while SpaceX trades at 1.8T today, you are essentially getting the entire Starlink business for free" — this calculation implies a $0 valuation for Starlink behind the $2 trillion pricing.
On-chain pricing has a structural limitation: the contract's benchmark share capital of 1 billion shares is Binance's own "estimate" — the actual IPO share capital scale can only be confirmed after official disclosure; if Anthropic's final IPO share count is not 1 billion, the entire premium calculation must be recalibrated.
On-chain pricing has another structural limitation. The contract's benchmark share capital of 1 billion shares is Binance's own "estimate" — the actual total IPO share capital can only be confirmed after official disclosure: if Anthropic's final IPO share capital is not 1 billion, the entire premium calculation must be recalibrated in the contract.
## Hook
What on-chain pricing does ahead of broker underwriting is to directly turn the question "Are you willing to value an AI company 65-88% higher than the private round before IPO pricing?" into a derivative. The result has two possibilities: if Anthropic's October IPO pricing range falls between $1.5-1.8 trillion, the on-chain pre-market is no longer speculation but a price discovery leader; if the listing valuation is far below $1.6 trillion, the on-chain price deviation is noise.
Are you betting that the implied valuation of $1.6-1.84 trillion will be confirmed after the IPO and become the valuation floor for the second half of the year, or that the listing price will diverge from the on-chain price and this pre-market premium will be a falsified wager?
$ANTHROPIC #AIAssetPricing #TokenizationConsumption weakens, rate hike expectations cool down, BTC and ETH are fluctuating repeatedly
US July retail data missed expectations, declining 0.6% month-on-month, with auto, online shopping, and gas station revenues all weakening simultaneously, clearly putting pressure on the economic consumption engine. Consumers feel inflation has eased somewhat, but have actually started to cut spending.
Multiple signals: inflation falling, employment weakening, consumption cooling, the market expects about a 70% chance that the Fed will not raise rates in September.
However, the contradiction lies in the fact that the public's inflation expectations for the future have slightly risen. On one hand, they are saving money; on the other, they worry prices will continue to rise, so inflation expectations have not truly stabilized.
Even if rate hikes pause in September, it does not mean rate cuts will come immediately. Easing expectations will fluctuate, and the crypto market will have to wait longer for a full easing trend.
Regarding BTC and ETH:
Worsening consumption data temporarily suppresses rate hikes, giving the market a brief breather. But inflation expectations remain, long-term interest rates stay high, and BTC around 65000 will continue to be pulled back and forth, while ETH should be near 1900.
It is difficult to reverse the major trend based on one or two data sets; the real direction depends on the September Fed meeting outcome. Currently, it is all about expectations.
The above does not constitute investment advice; the market carries risks, and investment should be cautious.
$BTC $ETH
#消费动能转弱，9月政策仍受通胀制约 The August 19 White House crypto industry meeting hasn't even started, but the market drama has already begun. Although the agenda has not been disclosed, the list of participants for Coinbase, Ripple, and Kraken itself serves as a draft of policy direction: Coinbase represents an institutionalized channel between compliant exchanges and $BTC, Ripple is backed by cross-border payment narratives, and Kraken points to a transaction compliance framework. The list serves as the prototype of the agenda, and the market will first trade this "leaked intent."
This is where the turning point lies. For $BTC, the positive path is clear—once the meeting sends positive signals of "digital asset reserves" or compliant custody, BTC as the institutional allocation choice will directly benefit, with policy dividends almost tailor-made for it. $ETH's situation is much more nuanced: if the conference touches on tokenized securities or CBDC interoperability, its infrastructure narrative can be endorsed; But if the tone leans toward tightening regulations on DeFi and stablecoins, ETH's "systemic risk" label will hurt it more than BTC. The same meeting may be a tailwind for one and a stress test for another.
In the days leading up to the meeting, "policy expectation trading" will dominate the market, and the volatility of BTC and ETH is likely to increase simultaneously, but the direction will not depend on the meeting itself, but rather on the agenda details leaked before the meeting. Smart capital doesn't bet on the outcome, but keeps an eye on every subtle adjustment in the wind.What ETH really needs to prove now is not whether it can rise, but whether the capital actually recognizes it.
As of today, August 16, ETH is fluctuating around $1,880, and the short-term trend is clearly not yet established. Although BTC and ETH-related ETFs attracted a lot of capital at one point in the past week, the price reaction was not obvious, indicating that the market is more like waiting for a new catalyst.
I actually think the biggest focus for ETH right now is not the price.
It's whether it can clearly retell its story:
Stablecoins → DeFi → RWA → Payments → On-chain finance
If more and more of these are built on Ethereum and its Layer 2 ecosystem, then ETH's value is not just a price story, but the foundational asset of the entire on-chain financial system.
But the problem is also very real:
On-chain usage growth ≠ ETH must go up.
Layer 2 lowers fees, and other public chains are also competing for users. ETH must prove it can continuously capture the value generated by the entire ecosystem.
So my current view on ETH is simple:
Short term → Watch capital flow and whether it can stabilize again around $1,900
Medium term → See if ETF capital continues to flow in
Long term → See how much real economic activity from stablecoins, RWA, and on-chain finance is actually settled on Ethereum.
The real bull market for ETH should not just be everyone starting to speculate on it again.
It should be that more and more financial businesses cannot do without it. DeFi Kingdoms 今天宣布，它那条跑在 Avalanche 上的链，下个月底（8 月 28 日）就停运了，资产往主链迁。子网生态的一个项目，就这么退场了。 $AVAX 今天也配合着跌：跌了两三个点，现在六块三毛多。昨天的反弹本来有点样子——摸到 6.886，结果没收住，今天就全跌回去了，价格又掉到六块四那几条均线底下。 说到这我想起散户最常见的冲动：从 6.99 跌到 6.04 那波，跌了一成多，就总有人想"跌这么多总该弹了吧"。 反弹是不是真的，我只看三件事。冲高能不能守住——昨天 6.886 摸完就回来了，没守住；MACD 动能有没有真翻红——昨天柱子都快翻红了，结果今天又掉头向下，还是绿的；价格能不能站回均线——今天又跌回均线下面，全破。三条全不满足，这就不是反弹，是反抽。反抽的规矩只有一条：不接。 情绪上倒是有点意思：看多的人比看空的多（0.45 对 0.09），但样本就十几条——聊 AVAX 的人本身就少。看多的那几个人，嘴上看多，手也没见动，价格照样阴跌。 基本面那边也喜忧参半：AVAX One 二季度营收同比涨了五倍，但被一笔三千多万的资产减值砸出净亏。营收涨是The sample is a snapshot of high-liquidity perpetual perpetual across the network (about 100 contracts), then 61 tokens are perpetually screened and scored. Rates are displayed based on the current settlement value. 1. $TRX/USDT — The most crowded short accounts across the entire market. Long-short ratio is 0.560, short accounts 64.1%, holding $238M with a fee rate of +0.0025%. This is a "large crowd but no paying" structure: retail investors and account traders are shorting on one side, and leveraged funds do not push the rate negative. Spot $0.332 / +0.20%, shorts do not gain advantage in price. This is more suitable as a stable bearish backdrop rather than immediate short squeezing. 2. $KAITO/USDT — The most crowded and closest to short squeeze across the market. Current rate -0.0426% (about annualized -47%), shorts paying for longs; Account slightly short (52.0%). Price $0.356 / -7.38%, 24-hour trading volume of $152M is 2.3 times the $66M position, position is rapid turnover rather than accumulation. Bears are right today, but negative fee + high turnover means once rebound, short covering will be fierce. 3. $XRP/USDT — Large market shorts crowded, with the largest short squeeze radius. Open $2.73B, short account 55.3%, fee -0.0001%, almost zero. The price is stuck at $1.00 / -0.13%, with an open-interest/turnover ratio of 4.05Why is it that the track with the strongest consensus ends up trapping the most people?
$EOS $FIL $PEPE $BOME $SHIB $DOGE and many more, countless.
When I first entered the crypto space, I always thought the stronger the consensus, the higher the certainty.
Everyone was discussing public chains, AI, RWA, or some "king of the cycle," institutional research reports were uniformly bullish, KOL target prices kept getting higher, and I thought buying in was just a matter of time before making money.
Later I realized that consensus itself is not wrong; the problem is that the price has already priced in the next few years in advance.
A story starts with a few people researching it, then the whole market knows about it, and early investors have already made tens of times profit; the "certainty" that latecomers hear is often exactly the liquidity needed by the earlier holders. The project may still be excellent, and the ecosystem may continue to grow, but the buying price is too high. Any slowdown in growth, increase in unlocks, or capital rotation will trigger a valuation correction.
In the last cycle, I also chased the so-called core tracks: the logic was still correct until the bear market, but the coin price dropped 90%. Because the market never only rewards good stories; it also looks at cost basis, circulating supply, and new buying demand.
So now when I encounter a target that everyone unanimously favors, I don’t first ask how excellent it is, but rather: how many people haven’t bought yet? Who will take the next baton?
Remember: the best narrative is not necessarily the best trade; when everyone believes, what’s truly scarce may no longer be consensus, but the funds to take over the position. ETF buying has reversed, leverage positions are rising against the trend, and the risk of divergence in the crypto market is intensifying
The current crypto market shows a typical multi-capital divergence pattern, with on-exchange funds completely disconnected and each taking extreme paths.
From the spot data perspective, last week $BTC spot ETFs saw a significant net outflow of nearly 400 million, marking the largest single-week outflow in six weeks. This data directly reflects the low willingness of institutional funds to go long at current price levels, with most major funds choosing to reduce positions at highs and take profits, leaving the spot market lacking incremental funds to sustain support.
However, the futures leverage side shows a completely opposite trend, with market speculative sentiment continuing to heat up. BTC futures open interest steadily climbs, funding rates rise in tandem, and high-risk appetite leveraged funds keep entering to speculate. Most short-term funds consider the 63,000 range as bottom support and continue to add to long positions, creating a stark contrast with institutional spot funds exiting.
This divergence structure of weakening spot and strengthening leverage is a clear risk signal for BTC. The absence of institutional spot buying means the bottom support is extremely weak, relying solely on leveraged long funds to barely prop up the market. But leveraged funds have inherent drawbacks—they are borrowed chips with interest costs, and prolonged sideways movement without gains leads to ongoing holding costs, resulting in passive losses.
Once the market dips slightly and hits the liquidation points of a large number of leveraged longs, it can easily trigger a chain reaction of forced selling, rapidly amplifying short-term declines. At this stage, BTC is very likely to continue oscillating and grinding at the 63,000 level, with overhead selling pressure not yet fully digested and lower support unconfirmed by effective retests. The more leverage positions accumulate against the trend, the greater the risk of subsequent market pullbacks.
Compared to BTC, $ETH’s market situation is even more passive and awkward. In this round of market action, Ethereum’s performance has been consistently weak, showing a clear pattern of following BTC down but not up: ETH falls more sharply during BTC corrections and continues to drift down weakly even when BTC stabilizes sideways.
On the capital side, weakness is even more pronounced. ETH ETFs only saw a slight net inflow of 6.7 million, a tiny amount that cannot reverse the market’s downward momentum, essentially a drop in the bucket. Meanwhile, the ETH/BTC exchange rate continues to decline, the most direct proof that funds are abandoning ETH in favor of BTC, with market preference for ETH steadily decreasing.
Popular narratives about staking yields, on-chain dividends, and ecosystem benefits only apply in liquidity-rich bull markets. Once market liquidity tightens and risk appetite falls, no one will accept Ethereum’s high volatility downside risk just for meager staking returns; all these positive narratives become invalid.
Given the current fragmented market structure, the best strategy now is to wait and watch.
The true market start signal requires two core conditions: ETF funds returning to positive net inflows and market leverage positions returning to a reasonable and healthy range.
Neither of these two signals has been realized yet, leaving market direction unclear and risks outweighing opportunities. Before clear trend signals emerge, frequent trading will only increase losses. In a choppy market, patient observation is far more important than frequent operations or technical analysis.
#消费动能转弱，9月政策仍受通胀制约
#标普盈利超预期，华尔街为何仅看7894点
#ETF买盘反转，BTC杠杆仓位回升 Steady prices aren't always a good sign — sometimes they just mean risk is being squeezed into a smaller box.
$BTC holding near $63K while $ETH and $SOL barely twitch looks less like confidence and more like a market pinned down by too many conflicting forces at once: soft consumer data, a Fed that hasn't committed to a direction, and an S&P earnings picture that isn't as clean as the index level suggests.
The read here is guarded. This calm can hold as long as ETF demand keeps absorbing leverage on the other side — but that's a balance, not a guarantee, and balances break. Add in a Middle East shipping risk that markets still seem to be pricing too lightly, plus an equity story increasingly propped up by AI infrastructure spending rather than broad strength, and the case for caution gets harder to ignore.
None of this means a move is imminent. It means the quiet deserves suspicion, not comfort.
Not advice, just analysis.
#WeakConsumptionFedSplit #SP500EarningsGap #BTCETFsVsLeverage Analysis of SanDisk's opening next week: Last week, SanDisk (SNDK) staged an epic surge. Driven by the major positive news from Investor Day on August 13—the company expects mid-to-high double-digit revenue growth for fiscal years 2028–2030, a non-GAAP gross margin of about 80%, and a commitment to 100% excess cash return to shareholders after investment—the stock surged 13.67% in a single day on Thursday. On Friday, it continued its momentum, rising 7.39%, with a weekly gain of about 35%, and trading volume topped the U.S. stock market. By Friday's close, the stock was at $1,641.11, and continued to strengthen to $1,658 after hours. In the short term, it faces overbought pullback pressure. Technically, the RSI has entered overbought territory, and after forming a temporary high near $1,663, trading volume sharply declined. The 50-day moving average ($1659) has not been effectively breached, with $1698 forming short-term resistance, and the bearish FVG area extending to $1746. Although JPMorgan has set a target price of $2250, short-term chasing risks are high, with support around $1572. The logic for long-term fundamental revaluation is clear. SanDisk has signed long-term NBM contract agreements with eight clients, covering about 50% of Bitcoin shipments in fiscal year 2027 and two-thirds in fiscal year 2028, with a minimum agreement value as high as $93.9 billion. Coupled with the global semiconductor revenue growth forecast raised to 94% in 2026, the structural shift in AI storage demand is driving the market to reprice SanDisk from a "cyclical stock" to a "growth stock." Overall judgment: Next week's market opening is highly likely to be at 1640-1$XSPCX continues to face pressure, and the reasons go beyond short-term market sentiment. The stock’s valuation and price remain significantly higher than many comparable companies, while quarterly cash flow has stayed under pressure. Continued share dilution following the August–September period and the Q3 earnings report has also added to selling pressure. The recent move from 149 back toward $139 shows that buyers are still struggling to regain control. With another share unlock approaching $ROBO ROBO is the native token of the Fabric Protocol, a project aiming to be the "Android system for robots." In simple terms: future robots will have their own identities, assets, and economic activities—they will autonomously buy energy, pay network fees, call AI models, and earn money by completing tasks. Fabric Protocol addresses this by enabling robots to have on-chain identities, autonomously complete payments, verify identities, and participate in network coordination. In this ecosystem, ROBO acts as the "fuel in the robot economy," mainly used for network fee payments, robot task settlements, incentives for nodes and developers, and network governance.
The project was co-founded by Stanford University professor Jan Liphardt and is backed by top-tier institutions such as Pantera Capital, Coinbase Ventures, and Digital Currency Group. It has a real project, top-tier institutions, and a clear narrative—far superior to pure air coins. However, the problem is obvious: the project is still in its early stages, with no large-scale adoption and no proven product-market fit.
The tokenomics are the biggest weakness: a total supply of 10 billion tokens, with only about 220 million (around 22%) currently circulating. Investors and the team hold about 44% with a 12-month lock-up period, unlocking after one year, which creates significant selling pressure. 77.7% of the supply remains locked, and the tokens held by whales are more than three times the circulating amount, meaning they can pump or dump at will. An analysis put it well: "With a high supply (10 billion), strong demand is needed to absorb it. This is a long-term bullish token but prone to sell-offs during unlocking periods." $CHIP triggered high-frequency derivatives trading after breaking through a 20% daily increase. The current core issue lies in the willingness to take over positions shown by the discrepancy between the less-than-half retracement in open interest and the sharp rebound in the long-short ratio, and whether it can withstand the selling pressure at the historical high of $0.14.
During the rally phase, derivatives open interest rises synchronously while the long-short ratio declines, reflecting shorts being passively accumulated under capital suppression. During the pullback, open interest falls but not by more than half, while the long-short ratio rises by over 50%, indicating that while shorts are closing positions to take profits, new long capital has already entered the market.
The primary variable driving capital evolution is the ability of USD.AI on-chain dollar liquidity to fulfill the financing narrative for AI physical infrastructure, followed by the squeeze friction in the contract market. If on-chain dollars fail to form real deposits, pulse-like capital flows will quickly turn into a distribution channel for profit-taking at high levels.
The bullish scenario triggers when open interest stops falling and rises during consolidation, while the long-short ratio remains low. If capital flow continues to lock into narrative deposits, breaking through the previous high of $0.14 will open upward space; however, if open interest suddenly drops by more than 30%, this scenario fails.
The bearish scenario triggers when open interest completely collapses, accompanied by longs being liquidated during the rally. Once profit-taking at high levels concentrates and buying cannot absorb the selling pressure after a more than 20% rise, the price will quickly retract to test support; if the long-short ratio falls to an extreme causing shorts to actively reduce positions, the bearish path will also be adjusted.
When there is divergence between open interest and price on the market and the long-short ratio surges, it indicates that long position building tends to be blindly chasing highs, signaling exhaustion of rebound momentum. At this time, short-term bullish expectations need to be corrected toward defensive considerations.
In the next 24 hours, key observations should focus on whether the decline in open interest during the pullback exceeds 50% of the previous rally increase, as well as the net inflow data of the on-chain dollar liquidity pool.
#ETF买盘反转，BTC杠杆仓位回升 #消费动能转弱，9月政策仍受通胀制约 #加密估值转向收入，BTC如何定价？