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The SEC may announce tokenized stock trading exemptions as early as Friday and plans to advance two major crypto regulatory matters.$BTC Is Bitcoin's recent sideways movement really just a lack of market direction? Perhaps what truly matters is not whether prices will rise, but whose hands the chips are transferring from. 👀 ⛏️ Layer 1: Miners' cost pressures are rising. After the halving, block rewards decline, while electricity, hashrate, and basic operating costs remain. When miners' cash flow is under pressure, they are more likely to choose to sell some BTC to maintain operations. 📉 This means: the market may continue to see chips that are "forced to sell." 🤖 Layer Two: Mining companies are seeking new growth points for AI. As demand for AI infrastructure and data centers continues to heat up, some mining companies are shifting capital and computing resources toward high-performance computing, data centers, and similar directions. In other words: in the past, BTC was mined → now part of the resources are now serving AI. This could further change mining companies' asset allocation and BTC holding strategies. 🐋 Layer Three: Truly Large Funds Are Waiting for Liquidity When weak holders, miners, and short-term funds continuously release chips, institutions with large capital scales actually have greater absorption capacity. The most dangerous phase of the market is often when not everyone is selling. Instead—someone panicked and sold while someone quietly picked up the goods. 🧲 ⚠️ As for BlackRock, ETF funds, and US crypto regulatory policies, they should now be seen as market variables rather than simply concluding that "someone is deliberately cutting prices to accumulate shares." But if Gold $XAU
The first target of 4400 was set 11 days ago and was just reached today.
What truly makes a judgment worth reviewing is why that judgment was made at the time, and whether the conditions we wrote down in advance were validated by the market.
At that time, gold showed three sets of facts on the daily chart:
1. The price tested around 4000 four consecutive times;
2. The volume of these four tests generally decreased, indicating that the supply at this level was gradually being consumed;
3. The following two demand candles no longer closed below 4000, with volume starting to exceed the average and showing growth.
The arrival at 4400 validated the first upward path. But it did not automatically prove three things:
- Gold has completed an effective breakout above 4400;
- The larger-scale top consolidation has ended;
- 4890 will become the next unconditional target.
This is also a trading principle I hope to adhere to long-term:
We do not take pride in being right in predictions, but in clearly writing down the evidence, trigger conditions, and invalidation boundaries before taking action.
The market cannot be fully predicted, but judgments can be verified, errors can be limited, and processes can be reviewed.
In the full gold weekly report on July 31, I also broke down:
- The position of gold in the large cycle since 2022;
- Why the distribution structure from 2011 to 2013 lasted for two years;
- Why large-scale top consolidation and daily long opportunities can coexist;
- The roles of the three levels 4000, 4400, and 4890 at that time respectively There is a question, I wonder if everyone has noticed:
1. The liquidation volume of $BTC is getting lower and lower, from over 1 billion unilaterally at the beginning of the year, to 600+ million in April-May, and now only 200-300 million.
2. Currently, mainstream exchanges' contract trading volume is dominated by US stocks, gold, silver, and crude oil.
3. We see that US stocks with high heat and volatility attract huge interest, and their large fluctuations bring more liquidations and forced closures.
So, have you noticed: during the crypto winter, exchanges have introduced US stocks, gold, silver, and crude oil futures to attract more traffic, which further diverts the already limited liquidity in the crypto space.
For exchanges, this means more traffic and trading volume.
But for crypto, it means a reduction in capital, less attention and support amid more choices, leading to more boring oscillations and potentially more severe volatility.
This is why I believe this is not the bottom, because the support for $BTC here is much weaker. Previously, people only had a few options like BTC and ETH to buy the dip, but now there are many more US stocks, even Hong Kong stocks.
Moreover, stocks have harvested more retail investors' funds.
So the support for $BTC is much weaker, and any manipulation or black swan event could cause a much more terrifying drop.$DOGE has been flat around 0.07 for two weeks.
In the past week, large holders quietly added 180 million DOGE, with the price barely moving. Over the past week, a total of 680 million DOGE were accumulated, worth about $48 million, all around the 0.07 level. Even more impressive, around August 6, a whale hoarded 1.7 billion DOGE in one go, worth about $119 million. Big money is working, not playing.
Grayscale has also entered the scene.
On August 10, Grayscale officially launched the Dogecoin Trust, opening a compliant channel for institutions and qualified investors to buy DOGE. Grayscale's original statement was, "DOGE has evolved from a Shiba Inu Meme coin to a tool for global financial inclusion"—this narrative is on a completely different level compared to a few years ago.
Bitwise's DOGE ETF is also on the way.
Bitwise has submitted a formal S-1 application for a spot DOGE ETF to the SEC. Rex Shares is also following up. Franklin Templeton is even more direct—they applied to include DOGE in their Franklin Crypto Index ETF, providing institutional investors with a regulated way to invest in DOGE.
The technical side is also shifting.
The 0.07 level has been repeatedly tested over the past two weeks without breaking. The daily RSI shows a bullish divergence, indicating selling pressure is weakening. 0.074 is the 50-day moving average, and 0.076 is the descending trendline. Once these two hurdles are cleared, the upside space will open up.
My judgment: leaning bullish.
At the 0.07 level, whales are accumulating, Grayscale is pushing the trust, and Bitwise is applying for an ETF—these three things happening simultaneously is no coincidence. If the CLARITY Act passes, the DOGE ETF narrative will enter a new phase. The support at 0.067 is a strong bottom.
Operationally, build positions in batches between 0.07-0.071, stop loss at 0.066, first target at 0.076, and if it holds, look to 0.09 What is confirmed: the price is at the bottom range of the cycle;
What is uncertain: is there still a golden pit?
I think if the new low can leave about 10% room downward for this golden pit, that would be good enough...
Combining with yesterday's discussion about the trend that the magnitude of the "ultimate shakeout" at the bottom of each Bitcoin bear market cycle is getting smaller, below 60k should be the best hitting zone before the next cycle starts.
Looking forward to it!The next round of capital rotation may not be where everyone is paying attention. What truly deserves attention in the market is never just "which coin is rising." A more important question is: Where is the money flowing out, and where is it being repriced? As of August 12, 2026, BTC remains in the $63–65,000 range, with a market capitalization of about $1.28 trillion and a 24-hour trading volume of about $20 billion. The market has not shown a clear broad expansion in risk appetite; instead, it seems more like a phase of "funds regaining certainty." (CoinMarketCap) Meanwhile, in early August, the US spot BTC ETF saw net inflows of about $850 million, while the ETH ETF also saw over $240 million in inflows. This signifies a significant shift: institutional capital is not leaving crypto but is reselecting assets and narratives with higher certainty. (crypto.news) Therefore, the next round of rotation may not necessarily mean "all altcoins rise together." More likely: Liquidity → Quality → Infrastructure → Application → Speculation Funds start from core assets and seek risk-reward ratios layer by layer. 01: BTC & ETH: The first stop for core liquidityToday, let's break down the very critical phenomenon of ETF fund divergence today.
Many friends panicked, thinking institutions were fleeing and the market was turning bearish. Let me give you a different perspective: this kind of capital flow back and forth is more about institutional chip reshuffling, not the end of the bull market.
The market is clear: at the end of July, BTC ETFs saw multiple capital outflows, and companies like Strategy Treasury sold off Bitcoin, causing BTC to fluctuate continuously between 63,000 and 67,000. However, the funds did not leave the crypto market; instead, they rebalanced their positions.
While BTC funds are flowing out, Ethereum ETFs continue to attract funds, and institutions like BlackRock are keeping their ETH layouts. Simply put: big players cashed at high prices, institutions transferred funds to Ethereum, which had fallen even deeper. This is an internal chip swap, not a full exit.
Let's sort out two main streams:
BTC has been bottoming out within a range in the short term, and ETF funds have continued to see net outflows this year. Institutions remain on the sidelines, waiting for clear signals from the Federal Reserve to cut rates.
Although ETH weakened in sync and fell below 1900, ETF funds continued to flow in, providing a bottom supported by capital and stronger resistance to declines. As long as Bitcoin stabilizes, ETH has even more room to recover.
Here are three practical suggestions:
First, avoid frequent short-term trading; funds can switch back and forth, and during volatile markets, it's easy to keep stopping losses;
Second, don't focus solely on single-day ETF data; focus on whether there can be continuous net inflows for several consecutive weeks—this is the real proof of institutional return;
Third, invest in batches with spare money for the long term, never add leverage, and get through this chip swap phase.
I am currently continuing to invest regularly in OKB. #财报观察员: AI infrastructure earnings report debuts in succession. #本周三CPI公布, will the September rate hike pricing be rewritten? #现货ETF资金分化, BTC selling pressure remains On the eve of the release of the US CPI data on August 12, the crypto world once again played out a familiar scene: the Ethereum Foundation address transferred out a batch of ETH, and the community immediately exploded with claims that "the official side is cashing out at the top again." Almost simultaneously, screenshots of Strategy's (formerly MicroStrategy) holdings page flooded social media, accompanied by captions like "One coin's official side is selling, another coin's enterprise is buying, isn't it obvious which to choose?"
Let's first look at the market: as of early August 12, BTC was fluctuating around $63,645; ETH was near $1,879, having halved and then halved again from its all-time high of $4,946 on August last year, with a cumulative drawdown exceeding 60%. Market sentiment was not panic, but certainly not greed—this kind of sluggish, grinding market is the easiest for narratives to replace logic in decision-making.
The problem is that the "official selling vs. enterprise buying" dichotomy is misplaced on both sides.
First, the Ethereum Foundation. It never sells $ETH because it "doesn't believe in it," but because its balance sheet holds only ETH—developer salaries, ecosystem grants, conference expenses, which all require dollars. A non-profit organization operating by holding its own token, periodic liquidation is an accounting action, not a statement of opinion. To truly interpret insider confidence, one should look at how much ETH the foundation's treasury still holds and whether it is accelerating sales, not just the act of "selling."
Next, Strategy, which is viewed through an even thicker filter. The market still clings to the old narrative of "Saylor never sells coins," but reality has long moved on: in May this year, they tentatively sold 32 coins; in early July, they cut losses by selling 3,588 coins at about $60,000 each, marking their first loss-making sale, and officially launched a $1.25 billion "$BTC monetization plan." Holding 847,000 coins at an average cost of $75,651, with unrealized losses nearing 10 billion, having lost 20.7 billion in six months—the "enterprise-level faith" coin-buying machine now survives by issuing preferred shares to pay interest, with purchase pace shrinking from 34,000 coins per week to just a few hundred.
So the real picture is not "official selling, enterprise buying," but rather: both "insiders" are selling, only one is transparently criticized while the other is protected by narrative. ETH has fallen so much that the foundation's small volume of sales doesn't even rank among the top three negative factors—the real pressure comes from continuous ETF outflows, declining on-chain activity, and the collective failure of the "Ethereum Year" prophecy, with the Tom Lees who shouted $12,000 at the start of the year now collectively silent.
This is the core contradiction in the current market: during a liquidity retreat, faith narratives fail first. The Fed's rate cut expectations fluctuate, US Treasury yields squeeze risk assets, and tonight's CPI is the touchstone—if the data is cold, ETH might leverage ETF and staking narratives to push through the $2,000 mark; if the data is hot, BTC's $62,000 support and ETH's $1,800 will face another round of tests.
In short: treating the foundation's wallet as a weather vane or Saylor's tweets as research reports is essentially lazy. The only honest indicator in a bear market is cash flow—who is flowing in, who is flowing out, on-chain and ETF data both tell the story, more reliably than any "insider confidence" narrative.CME launches H100 and B200 computing power futures to promote financial pricing of computing resources, but the non-storable nature of computing power causes traditional arbitrage-free pricing to fail, and cross-market pricing mechanisms are facing reshaping by macro interest rates and tech stock capital expenditures.
CME plans to list H100 and B200 index futures settled by hourly rental costs on October 5, offering forward curves up to 36 months. Changes in US AI tech stocks and US Treasury yields are directly transmitted to computing power forward premiums, while crypto assets and gold also show liquidity linkage.
The driving factors affecting computing power futures and cross-market asset pricing are, in order: the Fed's interest rate path determining financing costs for computing facilities, the release speed of cloud providers' infrastructure capital expenditures, volatility transmission in the US tech sector, and forward hedging demand from computing power service providers.
If US Treasury yields fall and US tech giants increase capital expenditures, the B200 forward rental premium will widen. At this time, long positions in computing power release risk appetite toward US semiconductor and AI application chains, capital flows out of the dollar and gold, and high-risk crypto assets are boosted.
If a high interest rate environment suppresses cloud providers' demand for computing power rentals, causing computing power service providers to heavily sell forward contracts on CME for hedging, the H100 hourly rental price will fall below the index average. Spot discounts on computing power will depress tech stock valuations, the dollar index will gain safe-haven support, and crypto assets will face liquidity squeezes.
Because computing power is non-storable, when the price difference between forward and spot prices exceeds the funding cost range within the 36-month term, traditional arbitrage-free pricing models fail. At that time, cross-market arbitrage funds may shift to short AI stocks while going long on computing power futures, breaking the original linkage logic.
In the next 7 days, key observations should focus on the performance of the 10-year US Treasury yield at critical levels, volatility changes in core US AI heavyweight stocks, and cross-term price spreads on the computing power forward curve at different maturities.
#贝莱德IBIT换购门槛降至100万美元 #本周三CPI公布，9月加息定价会改写吗？Tonight may be the most important hours for global risk assets this week. The US July CPI will be released at 20:30 on August 12 (Beijing time/Singapore time). Market current expectations: Overall CPI: +0.1% MoM / +3.4% YoY
Core CPI: +0.2% MoM / +2.5% YoY The Cleveland Fed previously reported July overall CPI at about +0.04% MoM and +3.37% YoY, while core CPI was about +0.21% MoM and +2.52% YoY. So tonight's real "watershed" may not be the headline figure of 3.4% itself. Whether core inflation has rebounded may determine where September interest rate expectations will shift. Currently, the Fed's policy rate remains at 3.50%–3.75%, and the market's probability of another rate hike in September has reached about 48%. In other words, tonight is not a traditional "rate cut deal," but a very direct repricing of rate hike risks. Why is this CPI especially important for BTC and tech stocks? Because the macro environment itself is already sensitive enough. Brent crude oil is currently near $89, with Middle East tensions continuing to fuel concerns over energy inflation; The yield on the US 10-year Treasury remained near 4.7%, while the 30-year yield once approached 5.28%. Meanwhile, US stocks have already entered a wait-and-see phase: below the Nasdaq on August 11BTC at $64,300, do you dare to bet before the CPI?
First, look at the surface: bad news is looming, retail investors are panicking.
From the ATH of 126,000, it has retraced nearly half, now fluctuating around 64,300. On August 10, ETF net outflow was 140 million, Strategy sold another 1,690 BTC, oil prices rose, geopolitical tensions, gold diverting funds—all the news is shouting "Run!".
First thing: ETFs had outflows, but you might have been deceived.
On August 10, 140 million outflow made headlines everywhere. But did you know that last week the cumulative inflow exceeded 850 million? The overall 30-day period is still a net inflow. Institutions haven't fled; they are just rebalancing normally.
The media wants your fear, not your truth.
Second thing: Strategy sold coins, but what are the real whales doing?
Strategy sold another 1,690 BTC to repurchase preferred shares, the market trembled in fear. But turn your screen and look at the on-chain data:
The number of "strongest hands" addresses holding over 10,000 BTC rose to 90, a six-month high. Medium-sized whales have cumulatively bought about 1.5 billion USD worth of BTC since the end of July.
Third thing: CPI is coming, this is the biggest variable.
On August 12, the US July CPI will be released, with the market expecting a year-over-year 3.4% (previous 3.5%), core CPI may slightly rise. July employment data has already weakened to negative growth, boosting rate cut expectations.
CPI meets or is below expectations → rate cut expectations strengthen → BTC takes off directly, target 66k-68k+
CPI exceeds expectations → hawkish concerns reignite → short-term sell-off, possibly dipping to 62k or even lower
64,300 is the pivot, CPI is the trigger
Key levels
Resistance above: 64,500-65,000 → 65,800-66,800 → 70,000+
Support below: 63,600-63,800 → 62,000-62,500 → 60,000
Trading strategy Here's a quick update reflecting the altcoin narrative, let's watch: CME is launching GPU computing power futures in October, essentially turning "how much it costs to rent an H100 for an hour" into a standardized contract tradable on Wall Street. Traditional finance is starting to price computing power, and the ones who should be paying attention the most are DePIN and decentralized computing power tokens—they've been telling the story for two years that "computing power is the new oil," and now oil has futures. It might not pump immediately in the short term, but the narrative being validated by the mainstream is the essential nourishment these tokens need for the mid to long term. Beyond $BTC, the real beta in this cycle might be hidden in these long-neglected computing power narratives. Let's watch and first list them out, don't wait to chase after they pump.📊 $OKB Contract Liquidation Express (August 17)
⚠️ Data duplication alert: This image is highly consistent with previous OKB data, suspected to be a duplicate of the same dataset. The following analysis is based on this data; please verify the latest actual liquidation data for OKB.
According to the liquidation data, the shorts were brutally crushed by the dog whales...
Time Total Liquidation Long Liquidation Short Liquidation
1 hour $1,395.64 $0 $1,395.64
4 hours $1,395.64 $0 $1,395.64
12 hours $1,591.15 $0 $1,591.15
24 hours $1,733.90 $142.75 $1,591.15
From the $OKB liquidation data (if accurate), short liquidations overwhelmingly dominate long liquidations at 1 hour, 4 hours, and 12 hours, with shorts monopolizing all liquidations. The short squeeze market runs with pure one-sided strength through the short to medium term, with short liquidation amounts steadily rising from $1,395.64 to $1,591.15; shorts still lead by a wide margin over 24 hours, about 11.1 times more, while longs only show $142.75 in resistance, almost negligible. As an exchange platform token, OKB's liquidation volume is relatively limited but directionally consistent—the shorts are comprehensively targeted and liquidated across all timeframes, a textbook example of a one-sided short squeeze.
📌 Please verify the latest actual liquidation data for OKB, as the current data appears to be a repeat of the previous day.
🔥 Market Indicator | August 17
Today's three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" phase—the market is not only watching who invests more but who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered their first "report card" on AI investments. Amazon AWS revenue reached $42.2 billion, up 37% year-over-year, marking the fastest growth in 18 quarters; Microsoft Azure grew 43% year-over-year, with annual Azure revenue surpassing $100 billion for the first time; Google Cloud revenue hit $24.8 billion, soaring 82% year-over-year. The four cloud providers' combined backlog of unfulfilled orders totaled approximately $2.33 trillion, up 188% year-over-year.
But the cost is equally real. Google and Amazon's free cash flow turned negative, and the four companies' capital expenditures surged from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue, punishing narratives with investment but no returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. The market expects overall CPI year-over-year to fall from 3.5% to 3.4%, and core CPI to drop from 2.6% to 2.5%.
After July's unexpected negative nonfarm payrolls, CME data shows the probability of a September rate hike remains at 51.2%. Federal Reserve Chair Jerome Powell has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate by up to 2% on the day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants announced financing plans simultaneously.
Nvidia partnered with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR to establish an independent computing power financing platform, aiming to leverage over $500 billion in third-party capital. Essentially, this turns GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, Intel's stock price dropped about 4%, with market concerns over equity dilution.
Both paths lead to the same conclusion: the AI chip competition has evolved from a technology race into a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but the $151.4 billion quarterly capital expenditure reminds the market that the pace of burning money has never slowed; every basis point of tonight's CPI could tip the scale for September's rate hike; and Nvidia's and Intel's $500 billion and $15 billion financing plans announced on the same day mark the official start of the "capital-intensive" new phase of the AI race. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 Oracle is reported to be laying off employees this month, possibly in double-digit percentages, and the market treats this as bad news and sells off. But reading it from another perspective is more useful: these big companies are cutting staff and costs in old businesses while aggressively shifting budgets toward computing power and AI infrastructure — the total money hasn't increased, it's just been relocated overall. Translated into $BTC community terms, what AI giants are doing is "moving the budget to computing power," not "increasing the budget." This explains why Nvidia and storage chains have been strong all along, while broad risk appetite hasn't followed suit. Don't equate "AI is booming" directly with "liquidity is loose"; these two things are decoupled this round. Look at the structure, not the sentiment. Note a quick update that is easy to be overlooked but has long-term implications for $BTC, watch closely: Oracle announced tonight a partnership with quantum computing company Quantinum to bring quantum capabilities to the cloud. Every time a major player enters quantum computing, someone in the crypto space shouts "Quantum is going to crack Bitcoin private keys." To pour cold water first: current quantum machines are still several orders of magnitude away from threatening the signature algorithms used by Bitcoin; this is a matter on a decade scale, not tomorrow. But what’s worth noting is the trend—major companies are genuinely pushing forward commercialization. When that day really comes, Bitcoin can upgrade to quantum-resistant signatures through a soft fork; panic is unnecessary, but vigilance is required. Those who understand know: long-term risks must be monitored, but don’t let anyone use this as an excuse to dump the market today.The opening is already the middle game. On August 10, the two heaviest pieces on the board made completely opposite moves on the same day: Bitcoin ETFs saw a net outflow of $91 million, while Ethereum ETFs stabilized with a positive inflow of $5.3 million. This is not random noise; the formation is splitting.
A grandmaster looks at the board and always first examines the piece structure. The BTC ETF is like a rook forced to be exchanged, leaving the white square empty like a leaky gate; the ETH ETF is like a knight on the king's side, jumping out a cold move from a blocked corner—seemingly a bit active, yet still trapped in the gaps of the pawn chain. The real hidden line is not on the exchange but on-chain: 7,513 BTC in three weeks, 6,494 BTC in twenty days. These are not scattered pawns of panicked retail investors but carefully calculated sacrifices by whales and miners. They don't care about tomorrow's candlestick; they only care about how many live pieces they have left in the endgame.
If we see this as a rapid chess game, then the BTC ETF outflow is the opponent's pin on the central pawn formation; the slight inflow in ETH ETFs is just our side setting a bishop waiting to be exchanged on the baseline. But I remind you, professional players never get emotional over the gain or loss of a single piece; they watch the entire pawn chain's trajectory.
The position has now entered the middle game. Will the bottom appear by the end of the fourth quarter? That question is too shallow. The real question is: can ETF demand, as an external reinforcement, hedge against the continuous exit of on-chain natives? CPI is the clock, compressing both sides' thinking time with every move. I've seen countless such structures in major tournaments: one side seemingly holds the central pawn group but actually has a broken pawn chain; the other side appears to have fewer pieces but holds a path connecting pawns. The ETF reversal on August 10 just turned this connecting path from latent to overt.
When capital flows begin to diverge, you must understand that the so-called "institutional bottom" is never an ironclad defense; it is merely a probing exchange. The slight positive inflow in Ethereum ETFs is more like a feint—a smoke bomb thrown at the opponent's most sensitive square. True experts don't ask "has the drop ended?" They simultaneously simulate three variations: what if CPI refuses to yield, what if miners continue to supply ammunition, what if ETFs turn negative again tomorrow. These three lines overlap at the center of the board; this is no ordinary pullback, but a thunderous assault after a double sacrifice.
Do not interpret this game at the daily level. The hidden lines formed by 7,513 and 6,494 are converging toward the center of the board. The ETF direction indicator is just a visible rook lift; the real main line is two hidden currents pressing from the flanks. The clock is ticking, and that pawn on-chain has crossed the dividing line. The defenders still clutch a half-finished CPI in hand. When all changes point to the same square, you will eventually realize—this game, the king's wing has already spilled the first drop of blood. #BTCETHETFFlowsDiverge $BTC end-of-day reading unfolded: current price just above 63,000, intraday dipped once to 63,160 to refresh the low point, a slight drop within 24 hours; but what’s really worth watching is the volatility—DVOL implied volatility is pressed near the low around 36, and the fear-greed index has fallen to the fear zone at 29. Sentiment is cold, but options are calm; this combination often signals a silent period before a market shift, rather than a continuation of the trend. Adding to that, Wednesday’s CPI is a card that could shake things up. Right now, the most costly thing isn’t the direction, but patience. Data won’t play along with you; the compressed volatility will have to be paid back sooner or later, it just won’t tell you in advance which direction it will go.Here's a thermometer for the primary market, let's watch: former OpenAI Chief Product Officer Kevin Weil has launched an AI research startup, immediately asking for a valuation of at least $750 million — the company barely has a product. This is not an isolated case; it's the norm in this round of AI startups: a big name, a sexy direction, and a valuation that already puts them halfway to unicorn status. Comparing this to our crypto space, doesn't it resemble those projects that haven't even finished their whitepapers but can start trading just based on the founder's title? The frenzy of hot money in the primary market often signals that risk appetite is still high. $BTC being so sluggish right now precisely indicates that this wave of hot money hasn't flowed into crypto. Let's watch; where the money goes, that's where the story is.It's more interesting to look at several numbers from tonight's US stock market close together: the three major indexes all closed down, the Nasdaq fell −0.6%, but the Nasdaq China Golden Dragon Index alone plunged nearly 3%, with JD.com, NetEase, and NIO dropping around 4%; meanwhile, SK Hynix rose 4.7% against the trend the same night. This is not a broad sell-off; it's a structural rotation of capital—storage/AI hardware continues to be increased, while Chinese concept stocks are being singled out for selling. The reference to $BTC is that the risk appetite in the US stock market that day was differentiated, not a blanket risk-off. Crypto neither benefited from the hardware sector's gains nor was dragged down by the Chinese concept stocks; it remains its own independently weak structure. Look at positions, not just the rise or fall of a single index to infer coin prices. A real footnote on AI capital expenditure, let's watch: Oracle is reported to be laying off employees this month, possibly in double-digit percentages. Don't just see it as bad news—the unified stance of these big companies is to cut people and costs in old businesses while aggressively pouring budgets into AI and computing infrastructure. The total money hasn't increased; it's just been relocated overall. For those of us watching $BTC and the AI narrative, the subtext is clear: the enthusiasm of industrial capital is real, but it is "stock reshuffling," not "incremental liquidity injection." Those who understand know that directly translating big companies' AI investments into macro liquidity easing is the easiest narrative trap to fall into this round.📊 $XAUT Liquidation Flash Report (August 17)
According to liquidation data, short-term longs were crushed hard, but long-term shorts have started to fight back, with long and short forces tending toward balance...
Time Total Liquidations Long Liquidations Short Liquidations
1 hour $156.60 $156.60 $0
4 hours $1,887.45 $1,887.45 $0
12 hours $28,600 $15,500 $13,100
24 hours $193,900 $103,000 $90,900
From the $XAUT liquidation data, 1-hour and 4-hour long liquidations overwhelmingly surpass shorts, with zero short liquidations in these periods. The short-term long squeeze is a purely one-sided force but with a very small total amount (only $156-$1,887); the 12-hour period shows continued long dominance but shorts begin to appear at a ratio of about 1.18 times, indicating a mild long squeeze progression; the 24-hour period shows a clear directional change, with short liquidations surging to $90,900, approaching the long level ($103,000), reducing the long-short ratio to 1.13 times, and the direction faces a new decision. As a gold stablecoin, $XAUT's liquidation volume today significantly expanded—from 12 hours' $28,600 to 24 hours' $193,900, an increase of over 6 times—indicating a sudden intensification of long-term long-short competition. Although longs still lead by a slight margin, the directional choice remains uncertain, with short forces quietly rising. Everyone, manage your positions carefully to avoid being chopped back and forth.
🔥 Market Indicator | August 17
Today's three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" stage—the market not only watches who invests more but also who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered the first "report card" on AI investments. Amazon AWS revenue reached $42.2 billion, up 37% year-over-year, marking the fastest growth in 18 quarters; Microsoft Azure grew 43% YoY, with annual Azure revenue surpassing $100 billion for the first time; Google Cloud revenue hit $24.8 billion, soaring 82% YoY. The four cloud providers' unfulfilled orders total about $2.33 trillion, up 188% YoY.
But the cost is equally real. Google and Amazon have negative free cash flow, and the four companies' capital expenditures soared from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue, punishing narratives with investment but no returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. Market expectations are for overall CPI YoY to fall from 3.5% to 3.4%, and core CPI to drop from 2.6% to 2.5%.
After July's unexpected negative nonfarm payrolls, CME data shows the probability of a September rate hike remains at 51.2%. Fed Chair Powell has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate up to 2% on the day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants announced financing plans simultaneously.
Nvidia partnered with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR to establish an independent computing power financing platform, aiming to leverage over $500 billion in third-party capital. Essentially, this turns GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, Intel's stock price dropped about 4%, with market concerns over equity dilution.
Both paths lead to the same conclusion: the AI chip competition has evolved from a technology race to a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but $151.4 billion quarterly capital expenditure reminds the market that the burn rate has never slowed; every basis point in tonight's CPI could tip the scales for September's rate hike; and Nvidia and Intel's $500 billion and $15 billion financing plans announced on the same day mark the official start of the "capital-intensive" new phase of the AI race. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 CME is launching compute power futures in October, with the underlying being the GPU hour rental index for H100 and B200 — this news deserves extra attention from everyone involved with $BTC. It means that AI compute costs have, for the first time, been turned into financial contracts that can be hedged and priced. Previously, people only bet on AI by buying Nvidia stock; now the rental cost itself can be traded. The mapping to crypto is very direct: the DePIN and decentralized compute narrative now has a centralized, daily-updated price anchor. The narrative is easy to tell, but remember one thing — the birth of derivatives is usually where volatility gets repriced. Data won’t play along with you; wait to see the position structure after the contract launches before drawing conclusions.Gold price breaks through $4,300, and my first reaction isn’t to look at the candlestick chart, but to look up at the sky—wondering if the damper of this financial skyscraper has already reached its limit.
Gold has never been a building material; it is the last seismic joint in the entire financial city. When the July nonfarm payroll data came out, that soft employment pillar was like a load-bearing wall in a building that had experienced a fire: the surface still stands, but the internal structural strength is seriously compromised. The market’s precise control system immediately adjusted the load distribution, and the probability of a September rate hike bent, flattened, and dropped to zero like the bending moment diagram of a cantilever beam. Capital began to flee, withdrawing from those high floors labeled "risk," running down—to the basement, to the vault, to the legal anchor point of this planet.
A weekly gain of 7.27% is not ordinary volatility; it is the displacement settlement that structural engineers watch most carefully. COMEX net long positions soared above 130,000 contracts, like a sudden large increase in the reinforcement ratio of shear walls—indicating the market is preparing to strengthen the load-bearing capacity. Geopolitical conflicts are wind loads, the US dollar index is a static load, and now even the most stable raft foundation of macro fundamentals is beginning to emit subtle cracking sounds.
Some say this rally is driven by liquidity easing, but after scrutinizing the blueprints for a long time: macro easing is just a slight reflection on the exterior curtain wall; the real driving force lies in the foundation layer—the lateral shear force of geopolitics running through the basement, the persistent stress of energy inflation running through vertical components, and the never-stopping tower cranes of central banks continuously hoisting prefabricated concrete blocks into this vault called "gold." Every purchase is like building a higher retaining wall against future uncertainty.
If we view this market situation as a construction site, then the more than 7 million ounces of net long gold futures are like anti-uplift piles for the entire building. Each pile is driven into the "risk aversion" soil layer; the deeper the pile, the higher the market’s panic index.
The performance of risk junctions like XTSM is quite interesting: it’s like a corridor structure connecting two towers—one end anchored to the high volatility of the crypto market, the other gripping the ground floor of traditional safe-haven assets. When gold, the core load-bearing pillar, starts to vibrate violently, the corridor’s stress is transmitted through the node plates to the curtain wall of the opposite tower.
I’m used to reading market reports at dawn, just like reviewing buckling mode outputs from structural analysis software. You’ll find that gold above $4,000 is a building case under extreme load conditions. Some people rush into the market just to crowd into the sightseeing elevator for a show; the real capital sinks down to reinforce the foundation of the entire financial castle. The market’s language becomes extremely clear at this moment—weak nonfarm payrolls are reports of abnormal soil moisture content, geopolitical conflicts are extreme wind speed curves in wind tunnel tests, and every new all-time high price quote is a silent completion inspection of the global asset skyscraper.
Ultimately, the capital market always records fear in the calmest way. At this moment, the gold price curve extends upward with a one-way slope, like a supertall building pouring its core tube; the path to higher levels has been tied with rebar and reserved for concrete. I just remind myself not to only look at the height of the top—look at the tower crane, the site, the pouring progress, and whether that grouting machine is still rumbling. #gold4300easingorhedge$46.6 billion is leveraged on BTC, but the truly more crowded position might be ETH
What the market should focus on now is not the price, but where the leverage is hidden.
According to the latest data from CoinGlass, BTC futures OI is about $46.73 billion, ETH about $25.38 billion. But BTC's market cap is about $1.27 trillion, while ETH's is only about $226.9 billion.
After conversion, OI/market cap:
BTC is about 3.7%, ETH about 11.2%.
In other words, the derivative exposure per unit market cap of ETH is nearly 3 times that of BTC. Of course, this cannot be directly equated to actual leverage ratio, but it indicates that ETH is not as "lightly positioned" as imagined.
Another layer of risk for BTC comes from the macro window: Strategy sold 1,690 BTC last week, and on August 10, the US BTC ETF had a net outflow of $144.6 million.
Meanwhile, the US July CPI will be released tonight. High OI combined with macro data most likely leads not to a one-sided prediction, but to a sudden release of volatility.
So the real question now is not "which is more worth going long on."
But:
Whoever's position is more crowded is more afraid of expectations being broken. $ETH #现货ETF资金分化，BTC卖压仍在 BTC discussion heat dropped by 35%, but this is not yet a bearish signal
OKX Onchain OS data shows that at 02:00 on August 12, BTC was mentioned only 43 times in the past hour, while the 24-hour total was 1592 times, averaging about 66 times/hour.
In other words, the latest 1-hour discussion rate is only 0.65 times the daily average, down about 35%.
But what really deserves attention is not the "heat decline," but that sentiment has not simultaneously become extreme:
Short-term bullish 30%, bearish 23%, neutral 47%; over 24 hours, 32%, 20%, 48%, overall still in a tug-of-war between bulls and bears.
The source structure has also changed: news accounts for about 18.6% in 1 hour, higher than about 12.9% over 24 hours, indicating that short-term information increments come more from news rather than just social media flooding.
So now, "mention volume decline" cannot be directly interpreted as capital withdrawal.
The real confirmation still depends on:
Spot trading volume, open interest (OI), funding rates, and liquidations all expanding simultaneously.
Social heat can only tell you what the market starts to focus on.
Capital data tells you what the market is truly betting on. $BTC #本周三CPI公布，9月加息定价会改写吗？ Tonight's CPI Heavy Preview! $BTC and U.S. Tech Stocks, Three Market Scenario Outlines
📰 Macro Preview | The entire market awaits inflation data to set liquidity direction
Tomorrow's U.S. CPI inflation data is about to be released, serving as the most critical catalyst currently influencing global risk asset pricing. At present, whether it's U.S. tech AI computing power, storage sectors, or BTC, ETH, all are in a wait-and-see grinding phase. Institutional funds are proactively reducing positions, waiting for inflation results to reprice the Fed's rate cut timetable.
First, clarify the underlying transmission logic: CPI data directly changes market expectations on the duration of high interest rates, affecting U.S. Treasury yields and the strength of the dollar.
Correlation between crypto assets and U.S. growth stocks continues to rise; expectations of looser liquidity benefit risk assets collectively; stubborn inflation and delayed rate cuts generally pressure high-valuation assets.
Three scenarios forecasted in advance:
✅ Scenario 1: CPI data below expectations, inflation continues to cool
Rate cut expectations heat up again, U.S. Treasury yields decline. U.S. stocks NVDA, storage sectors MU, SNDK see a recovery rally; BTC leads upward to test the upper boundary of the range, $ETH, relying on its high beta nature, will have stronger rebound elasticity. Funds favor risk assets, crypto ETF capital is expected to restart inflows. ⚖️ Scenario 2: CPI within expected range
Likely to produce a "volatility first, then consolidation" market, with short-term rapid spikes causing stop-loss sweeps, making sustained one-sided trends difficult. Market focus will shift to subsequent economic data, $BTC $ETH continue range-bound oscillation, sectors show clear differentiation, strong and weak stocks each follow independent trends.
❌ Scenario 3: CPI above expectations, inflation shows stickiness
Market prices in "high rates maintained longer," dollar and U.S. Treasury yields strengthen. U.S. tech growth stocks face pressure and pullback; risk appetite quickly declines, BTC and ETH fall in sync, ETH's volatility and retracement usually exceed BTC's, leveraged markets prone to concentrated liquidation pressure. Notable market differentiation: in a volatile environment, funds prefer BTC with stronger safe-haven attributes; only when the market fully recovers will incremental funds flow to ETH to play the ecosystem game.
Practical advice: volatility will sharply increase during the data window, avoid heavy positions betting on direction in advance. Wait for data release and clear market signals before participating, prioritize risk control. #EarningsObserver: AI infrastructure earnings reports coming in succession
⚠️ Market preview analysis, not investment advice
#本周三CPI公布，9月加息定价会改写吗？ 🔥Historic Signal! Apple Tests Changxin Memory Chips, Domestic Memory Opens the Door to the Apple Ecosystem #苹果测试长鑫存储芯片并展开初步供货谈判
Core ❤️ News Summary:
Foreign media confirm that Apple is testing Changxin DRAM chips in its iPhone and MacBook product lines. Both parties have initiated preliminary supply negotiations, with plans to pilot the chips in models sold in China.
🔎Underlying Logic of the Event
1. Supply and Demand Background: Amid the AI wave, overseas memory giants continue to allocate capacity to HBM, tightening supply and driving up prices for consumer-grade DRAM. Apple has long relied on Samsung, Micron, and SK Hynix, highlighting risks from a single supply chain.
2. Apple's Dual Objectives: On one hand, to supplement memory supply channels; on the other, to gain new bargaining chips to counterbalance the existing three major memory suppliers.
3. Key Point: Testing ≠ Signing a Deal. Cooperation faces multiple hurdles including geopolitical policy reviews, technical customization, and patents, meaning a long cycle before large-scale deployment.
4. Biggest Highlight: Previously, domestic manufacturers actively sought entry into the Apple ecosystem. This time, Changxin holds bargaining power without compromising on price, marking a shift from being a low-cost backup to an equal competitor.
💡Market Perspective
This news is a core catalyst for the domestic memory replacement theme.
In the short term, it is an expectation-driven market, betting on subsequent testing progress and policy approval updates;
In the medium to long term, focus on two points:
① Whether testing and certification can proceed smoothly; ② Whether compliant procurement permits can be obtained.
$SKHYNIX $SNDK $XAAPL $OKB $SNDK In recent days, there has finally been a reassuring change. 📈 The grid strategy has been running continuously, completing about 2,800+ round-trip trades in the past week, averaging nearly 400 per day. The cumulative grid return has reached around 42U, and the unrealized losses on the basic position have significantly narrowed. Previously, it was stuck in a tough situation, but now at least grid earnings are starting to provide a buffer. 💰⚙️ This isn't a story of "sudden doubling," but rather a small wave of small waves that gradually wear down costs. --- $SPCX's situation is also worth watching. ⚠️ The previous unlocking did not encounter the large selling pressure expected by the market, and the stock price returned above the issue price. But what really needs to be noted is that in late August, large shares entered circulation, and in September, there is even greater unlocking pressure. 🧨 Meanwhile, short positions in the market remain high. So the biggest variable here is no longer simply "rise or fall," but rather: unlocking pressure + short covering + AI infrastructure narrative. Ultimately, which is stronger? I won't change my core logic just because of short-term fluctuations for now. 🔥 --- What truly deserves attention this week is the relay of AI infrastructure earnings reports. The performance of optical modules, servers, computing clouds, storage, and related equipment manufacturers will gradually give the market a key answer: 👉 Is AI capital spending still accelerating, or has it already begun to enter a digestion phase? If orders, guidance, and capital expenditures continue to exceed expectations, then the AI infrastructure sector may once again be affected📊 $SOL Contract Liquidation Express (August 17)
According to liquidation data, short-term shorts were crushed hard, but mid-to-long-term longs suffered a massive bloodbath...
Time Total Liquidations Long Liquidations Short Liquidations
1 hour $1.1724M $76.02 $1.1723M
4 hours $1.2373M $19.8K $1.2174M
12 hours $4.4656M $3.1444M $1.3212M
24 hours $5.1997M $3.8293M $1.3705M
From the $SOL liquidation data, 1-hour and 4-hour short liquidations crushed longs, with 1-hour shorts being 15,000 times the longs, and the 4-hour ratio about 61 times. The short squeeze played out with nuclear intensity in the short term; the 12-hour direction completely reversed, with long liquidations crushing shorts, longs were 2.38 times shorts, a full-scale long liquidation; the 24-hour long advantage further expanded, ratio about 2.79 times. The whale on SOL completed a fierce turnaround from short squeeze to long liquidation—the short-term short sellers were targeted and blasted, mid-to-long-term longs were wiped out, with cumulative liquidations exceeding $5.19 million. Everyone, control your positions and avoid being harvested back and forth.
🔥 Market Indicator | August 17
Today's three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" stage—the market not only watches who invests more but also who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered the first "report card" on AI investments. Amazon AWS revenue reached $42.2 billion, up 37% year-over-year, marking the fastest growth in 18 quarters; Microsoft Azure grew 43% YoY, with annual Azure revenue surpassing $100 billion for the first time; Google Cloud revenue hit $24.8 billion, surging 82% YoY. The four cloud providers' unfulfilled orders totaled about $2.33 trillion, up 188% YoY.
But the cost is equally real. Google and Amazon turned negative in free cash flow, and the four companies' capital expenditures soared from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue, punishing narratives with investment but no returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. The market expects overall CPI YoY to fall from 3.5% to 3.4%, and core CPI to drop from 2.6% to 2.5%.
After July's unexpected negative nonfarm payrolls, CME data shows the probability of a September rate hike remains at 51.2%. Fed Chair Powell has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate up to 2% that day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants announced financing plans simultaneously.
Nvidia partnered with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR to establish an independent computing power financing platform, aiming to leverage over $500 billion in third-party capital. Essentially, turning GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, its stock price dropped about 4%, with market concerns over equity dilution.
Both paths point to the same conclusion: the AI chip competition has escalated from a technology race to a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but the $151.4 billion quarterly capital expenditure reminds the market—the burn rate has never slowed; every basis point of tonight's CPI could tip the scale for September's rate hike; and Nvidia and Intel's $500 billion and $15 billion financing plans announced on the same day mark the AI race's official entry into a "capital-intensive" new phase. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 There is a detail in the current market that is more interesting than the price itself: the total open interest (OI) of BTC futures across the network has reached $46.69 billion, firmly above $40 billion, while ETH futures OI is only $25.82 billion, showing a clear gap.
Doing the math makes it clear. BTC's market cap is $1.27 trillion, ETH's market cap is $225.9 billion, so BTC's size is 5.6 times that of ETH, but its futures OI is only 1.8 times that of ETH. In other words, weighted by market cap, the leverage concentration in ETH's market is actually not low; the issue lies in the trend—ETH's OI shrank by 3.88% over the past week, with OI falling alongside price drops, indicating that funds are closing positions and withdrawing rather than opening new ones to speculate; BTC's OI remains high and stable, funding rates stay neutral to slightly positive, and despite the price drop, leveraged funds have not fled. One is a case of more holders stepping in as prices fall, the other is a quick breakup at the slightest drop—this is the "credit rating" the derivatives market assigns to the two coins.
Why do institutions dare to bet heavily on BTC? The answer lies in the toolbox. CME's BTC futures, spot ETFs, and options form a full set of institutional-grade infrastructure, with good collateral, easy hedging, and compliance, allowing leverage to be stacked on ETF holdings to play basis and directional trades. BTC is essentially a "collateralizable asset." Although ETH ETFs have had a net inflow of $261 million over 7 days and have been positive for five consecutive weeks, and treasury companies like Bitmine are still accumulating, these are spot buying logics—willing to hold, not willing to speculate. Holding coins and leveraging are two different risk preferences; ETH is currently in the former camp.
The real risk lies with BTC itself. The $46.6 billion OI is stacked at the $64,000 level, which has been tested for nearly a month. Wednesday's CPI is imminent, US Treasury yields are rising, Strategy just sold 1,690 BTC, and the ETF turned to a net outflow of $144.6 million on August 10, while the network saw $213 million in long liquidations in 24 hours. High OI combined with a macro data window is like dry wood waiting for a spark: if CPI surprises to the downside, the $40+ billion leverage will amplify the decline; conversely, if data is mild, these unreleased positions could fuel a short squeeze.
So the conclusion is straightforward: $BTC is an asset institutions are willing to borrow money to bet on directionally, while $ETH is an asset institutions are willing to slowly accumulate. The core market conflict now is not bulls versus bears, but the crowding of leverage colliding with macro uncertainty—$46.6 billion OI resting on a single CPI data point means this week is destined to be turbulent. 📊 $XRP Contract Liquidation Express (August 17)
According to liquidation data, short-term shorts were crushed mercilessly, but mid-to-long-term longs suffered a bloodbath...
Time Total Liquidation Long Liquidation Short Liquidation
1 hour $213,300 $5,510.42 $207,800
4 hours $647,900 $43,300 $604,600
12 hours $6,565,800 $5,805,500 $760,200
24 hours $12,309,900 $11,369,300 $940,700
From the $XRP liquidation data, 1-hour and 4-hour short liquidations crushed longs, with 1-hour shorts being 37.7 times the longs, and the 4-hour ratio about 14 times. The short squeeze unfolded with nuclear intensity in the short term; the 12-hour direction completely reversed, with long liquidations crushing shorts. Long liquidations surged to $5.8 million, 7.6 times that of shorts, signaling a full-scale long liquidation; the 24-hour long advantage further expanded, with long liquidations reaching $11.36 million, 12 times that of shorts. The market makers on XRP completed a fierce turnaround from short squeeze to long liquidation — short-term short sellers were targeted and blasted, mid-to-long-term longs were wiped out, with total liquidations exceeding $12.3 million. Today's XRP liquidation volume far surpasses all previous tokens. Longs are bleeding heavily, and the long liquidation trend is unstoppable. Everyone, manage your positions carefully to avoid being repeatedly harvested.
🔥 Market Indicator | August 17
Today's three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" phase — the market not only watches who invests more but also who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered the first "report card" on AI investments. Amazon AWS revenue reached $42.2 billion, up 37% year-over-year, marking the fastest growth in 18 quarters; Microsoft Azure grew 43% YoY, with annual Azure revenue surpassing $100 billion for the first time; Google Cloud revenue hit $24.8 billion, soaring 82% YoY. The four cloud providers' unfulfilled orders totaled about $2.33 trillion, up 188% YoY.
But the cost is equally real. Google and Amazon's free cash flow turned negative, and the four companies' capital expenditures soared from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue, punishing narratives with investment but no returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. The market expects overall CPI YoY to fall from 3.5% to 3.4%, and core CPI to drop from 2.6% to 2.5%.
After July's unexpected negative nonfarm payrolls, CME data shows the probability of a September rate hike remains at 51.2%. Fed Chair Wash has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate up to 2% on the day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants announced financing plans simultaneously.
Nvidia partnered with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR to establish an independent computing power financing platform, aiming to leverage over $500 billion in third-party capital. Essentially, this turns GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, its stock price dropped about 4%, with market concerns over equity dilution.
Both paths lead to the same conclusion: the AI chip competition has evolved from a technology race to a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but the $151.4 billion quarterly capital expenditure reminds the market — the pace of burning money has never slowed; every basis point of tonight's CPI could decide the direction of the September rate hike; and Nvidia and Intel's $500 billion and $15 billion financing plans announced on the same day declare that the AI race has officially entered a "capital-intensive" new phase. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 Volatile wait for CPI release! Differentiating BTC and ETH for different market environments
📈 Trading insights | Facing the CPI test, the two major mainstream coins are suitable for completely different market environments
As the key inflation data approaches, both bulls and bears in the market choose to wait and see, and trading activity continues to decline.
We often see a phenomenon: under the same macro stimulus, BTC and ETH show obvious divergence in trends, rooted in the inherent differences in institutional pricing logic for the two.
$BTC is more suitable for two scenarios:
1. When macro uncertainty is high and market sentiment is cautious. Funds seek liquidity and stability, treating BTC as the base holding in the crypto market, with stronger defensive attributes.
2. The initial stage of substantial liquidity easing expectations, with incremental funds slowly entering the market.
$ETH needs additional conditions to enter a strong bullish phase:
The market not only improves liquidity but also experiences a comprehensive rise in risk appetite, with speculative funds willing to bet on growth narratives. Relying solely on interest rate cut expectations makes it difficult to drive ETH to sustain strength alone. This is the core reason why in multiple market cycles, even when rate cut benefits materialize, ETH’s gains often lag behind BTC.
Mapping to tomorrow’s CPI trading strategy:
If betting on a favorable market, do not enter too early; wait for data to confirm inflation cooling, then participate as funds actively enter.
If the data is unfavorable, prioritize avoiding high-volatility assets and reduce heavy holdings.
Also, monitor the US stock market: once AI and storage tech stocks continue to show independent strength, it indicates strong market risk appetite, giving ETH a chance to catch up later.
Always remember: the moment macro data is released, volatility is extreme. Leveraged trading must strictly control position size to avoid severe account damage from short-term spikes.Wash's special task force is aimed at building a new policy framework to replace the current market's reliance on the Federal Reserve and the current macro data framework.
I've mentioned this issue frequently over the past two months, but it seems to be the first time I've seen an American media person express this viewpoint.
That said, if Wash really intends to do this, the internal division within the Federal Reserve will be very serious. Powell's presence has been somewhat low these past two months, but let's not forget he is still there, and Powell's influence within the Federal Reserve is very important! #本周三CPI公布，9月加息定价会改写吗？ The Market May Be Entering a More Selective Rotation
Crypto markets do not always rotate from one narrative to another at the same speed.
Sometimes capital moves quietly before social attention catches up.
That is why I’m watching liquidity, volume and ecosystem activity rather than simply following whatever token is trending.
$BTC and $ETH remain the core liquidity anchors of the market.
But if risk appetite expands, capital can begin searching further down the risk curve.
$SOL $BNB $XRP $SUI $APT $AVAX $NEAR $SEI $TIA
These Layer-1 ecosystems are competing for users, developers, liquidity and capital, but the strongest narrative will ultimately need more than attention.
DeFi is another area I’m watching.
$AAVE $UNI $CRV $PENDLE $MKR $COMP
If traders begin looking beyond simple price speculation, protocols generating real on-chain activity and useful financial primitives could attract more attention.
Infrastructure could also become important.
$LINK $ARB $OP $DOT $ATOM
As more applications and capital move on-chain, the infrastructure supporting interoperability, data and execution becomes increasingly important.
AI remains one of the strongest attention-driven sectors.
$TAO $RENDER $FET $KAITO $FIL
But attention alone is not enough.
The market eventually starts asking harder questions:
Is there real adoption?
Is usage growing?
Is liquidity sustainable?
Does the token capture value from the ecosystem?
RWA is another narrative worth watching.
$ONDO $MKR
Tokenization continues to connect traditional financial assets with blockchain infrastructure, making this sector increasingly relevant as on-chain financial markets develop.
And then there is the speculative side.
$PUMP $BONK $PENGU $PEOPLE
These assets can move extremely fast when liquidity, social attention and momentum arrive together.
But momentum can disappear just as quickly.
The key question is not which sector gets the most attention today.
It is where capital remains after the first wave of excitement fades. Putting BTC's short-window numbers together with the full-day average makes the picture much more complete than just looking at the popular rankings. OKX Onchain OS recorded 43 mentions of BTC in one hour at 02:00 on August 12, including 35 times in X and 8 in the news; The total 24-hour volume was 1,592. After conversion, the latest hour is 0.65 times the hourly average for Long Window, which is about 35% lower than the 24-hour average. This ratio only answers whether discussions have heated up, not whether buying has increased. If you write it directly as a breakout signal, you take an extra step and make an inference that the data does not support. The structure of tone is another line. Within one hour, slightly bullish 30%, bearish 23%, and neutral about 47%, indicating "close bull-bearish"; Within the 24-hour period, the trend is 32% bullish and 20% bearish. The gap between the short and long windows is the part worth tracking going forward. On the source side, BTC is currently mainly driven by X. When a message is widely shared, mentions quickly increase, but independent information may not necessarily increase year-on-year. The trending list cannot tell us whether each piece of text comes from different participants, nor does it weigh by account influence or fund size. Long window sources can be used as background: BTC 24 hours has 1,387 times and 205 news events. If the proportion of sources in one hour suddenly deviates sharply, it could mean new news first broke out on a certain channel, or news updates just haven't caught up yet. Both explanations are reasonable,$SMCI surged to 35.19 in the 15 minutes before the earnings report, then fell back to 34.13. The core conflict lies in the short-term intense volatility caused by front-running capital and short covering, in a tug-of-war with post-market earnings realization and regulatory review risks.
From the market perspective, $SMCI's 24-hour gain is 7.87%, with the price range maintained between 30.94 and 35.19. The current funding rate is 0, and the open interest is about $569,000, reflecting relatively shallow overall pool liquidity. The rise and pullback process shows a typical non-trending position adjustment.
In terms of driving factors, the primary event is the U.S. stock market earnings report after hours on August 11, followed by market risk appetite sensitivity, and lastly the sentiment transmission caused by regulatory review risks. Due to the small position size, position reshaping before the earnings release can easily amplify short-term fluctuations through short covering.
The bullish scenario requires that the post-market disclosed order volume and gross margin performance exceed expectations. If bullish capital pushes the price to effectively break through the 35.19 resistance, it will further squeeze short positions; the signal that this scenario fails is a rapid decline in intraday volume and losing the 34 level.
The bearish scenario corresponds to earnings realization falling short or gross margin decline, along with the intensification of regulatory review risks. Once the price breaks the key support at 31.8, front-running and stop-loss orders will trigger a severe sell-off, probing the previous low of 30.94; the signal that this scenario fails is large buy orders near 31.8 and a quick recovery above 34.
The failure condition for a neutral wait-and-see judgment is a multiple increase in open interest before the earnings release or the price forcibly stabilizing above 35.19. This indicates that market capital has completed pricing in event risks and shifted to a unilateral trend logic.
In such a market that heavily relies on earnings catalysts and lacks deep liquidity, is blindly chasing highs justified by a sufficient risk-reward ratio?
The most important variables to observe in the next 24 hours are the post-market disclosed order and gross margin actual values, and whether the price can hold the support at 31.8.
#现货ETF资金分化，BTC卖压仍在 #存储股抛压缓和，AI内存牛市还稳吗？📊 $CL Contract Liquidation Express (August 17)
According to liquidation data, this round of shorts was brutally crushed by the dog whales...
Time Total Liquidations Long Liquidations Short Liquidations
1 hour $20,600 $0 $20,600
4 hours $49,700 $3,043.29 $46,700
12 hours $1,098,500 $460,300 $638,200
24 hours $2,572,500 $465,400 $2,107,100
From the $CL liquidation data, short liquidations crushed longs in the 1-hour and 4-hour windows, with shorts monopolizing all liquidations in 1 hour and being 15 times the longs in 4 hours. The short squeeze unfolded with nuclear intensity in short cycles; the 12-hour short advantage persisted but sharply narrowed, with the ratio dropping to 1.38 times, indicating marginal weakening of short squeeze momentum; 24-hour short liquidations surged to $2.1071 million, 4.5 times the longs. The dog whales completed a full-cycle slaughter of shorts on CL—shorts were targeted and blasted across short, medium, and long cycles, with cumulative liquidations exceeding $2.57 million. Shorts bled heavily, and the short squeeze momentum is unstoppable. Everyone, control your positions and avoid being repeatedly harvested.
🔥 Market Indicator | August 17
Today's three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" stage—the market not only watches who invests more but also who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered the first "report card" on AI investments. Amazon AWS revenue reached $42.2 billion, up 37% year-over-year, marking the fastest growth in 18 quarters; Microsoft Azure grew 43% YoY, with annual Azure revenue surpassing $100 billion for the first time; Google Cloud revenue hit $24.8 billion, soaring 82% YoY. The four cloud providers' unfulfilled orders totaled approximately $2.33 trillion, up 188% YoY.
But the cost is equally real. Google and Amazon turned negative in free cash flow, and the four companies' capital expenditures soared from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue and punishing narratives with investment but no returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. The market expects overall CPI YoY to fall from 3.5% to 3.4%, and core CPI to drop from 2.6% to 2.5%.
After July's unexpected negative nonfarm payrolls, CME data shows the probability of a September rate hike remains at 51.2%. Fed Chair Wash has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate up to 2% on the day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants simultaneously announced financing plans.
Nvidia partnered with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR to establish an independent computing power financing platform, aiming to leverage over $500 billion in third-party capital. Essentially, this turns GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, its stock price dropped about 4%, with market concerns over equity dilution.
Both paths lead to the same conclusion: the AI chip competition has evolved from a technology race to a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but the $151.4 billion quarterly capital expenditure reminds the market—the burn rate has never slowed; every basis point in tonight's CPI could tip the scale for September's rate hike; and Nvidia and Intel's $500 billion and $15 billion financing plans announced on the same day mark the AI race's official entry into a "capital-intensive" new phase. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 Market update:
BTC repeatedly failed to hold above 65,000, retreating to around 64,000. ETH weakened in sync.
Two short-term suppressing factors:
1. US CPI data approaching on Wednesday, market is risk-averse
2. Oil prices rebound due to stalled geopolitical negotiations, reigniting inflation concerns
After continuous ETF inflows last week, there was a net outflow yesterday. The impact of Strategy continuing to sell BTC is still being digested.
This is not a trend confirmation but a shakeout before the data. The key is whether funds will continue to seek safety or return to risk assets after the CPI release.
Being patient to wait for direction is more important than prematurely taking sides.
#本周三CPI公布，9月加息定价会改写吗？ ETF funds have returned, but why can't BTC still rise?
Regarding BTC's recent movement, I believe the real focus is not on how much it has dropped, but on the divergence between capital inflow and price performance.
Last week, the US spot BTC ETF recorded a net inflow of about $854 million, which is a relatively obvious capital recovery recently; however, BTC did not use this to reopen upward momentum. The latest market instead quickly fell back from around 64,400, hitting a low of 63,162, and is currently rebounding to around 63,600–63,700.
From the 15-minute structure perspective, this rebound is very fast, but I will not interpret it as a trend reversal for now.
The reason is simple: there was support around 63,160, but the area between 64,000–64,100 remains the most critical short-term resistance zone in this round. Although the price has risen back above MA5/MA10/MA20, it is essentially still in the repair phase after the previous rapid decline. The KDJ's J value has surged above 100, indicating that short-term rebound momentum has been released quickly, and the risk-reward ratio for chasing the rally is actually starting to decline.
More importantly, there is tonight's macro variable.
The market is waiting for the US July CPI, which is one of the key reasons why BTC has not chosen a direction yet. Recent oil price-driven inflation concerns have made the market more sensitive to inflation data and the subsequent Federal Reserve path.
So I now tend to understand BTC as:
ETF solves the mid-term capital issue, CPI determines short-term risk appetite, and the market is waiting to see which of these two forces gains the upper hand first.
If the price can reclaim 64,000–64,100 later, then the dip to 63,162 looks more like a liquidity washout; but if the rebound is again suppressed at 64K and then 63,160 is lost, then ETF inflows may not be able to prevent the short-term from seeking lower liquidity.
Right now, I am not in a hurry to guess the direction.
The most dangerous thing before data release is not to be wrong, but to mistake volatility for a trend and take heavy positions prematurely.
Do you think this 63,162 is a phase washout low, or the first real drop before CPI? $BTC #Spot ETF capital divergence, BTC selling pressure remains Spot ETF capital is beginning to diverge, and BTC is losing its exclusive liquidity advantage
Or from a more trading-focused perspective:
#ETF capital hasn't exited, it's just starting to bypass BTC
The second perspective is more attractive and easier to lead into the following point: what truly matters to observe is not whether the total ETF capital has flowed out, but whether capital is being reallocated from BTC to assets like ETH. If BTC continues to face selling pressure while other spot ETFs can still absorb incremental capital, then the market may not be simply Risk-off, but undergoing internal capital rotation—these two logics correspond to completely different trading strategies. $BTC I am back! $SPCX
AI infrastructure is gradually becoming one of the most notable capital rotation stories in the market.
SpaceX avoided the sell-off that many feared after the first lockup period ended, even seeing its price recover above the IPO level. This shows that demand for assets tied to technology infrastructure remains very strong.
Meanwhile, the capital flow within the AI story itself is beginning to diversify.
NVDA dipped slightly by -0.15%, while BX rose +4.49%. The market may be starting to look beyond the GPU story and focus on the entire ecosystem needed to operate AI: data centers, power, cooling systems, transmission networks, and computing capacity.
The deal between Riot and Anthropic makes this trend even more noteworthy.
Companies once mainly seen by the market as Bitcoin miners now own what the AI industry urgently needs: large power sources, land, grid connections, and data center infrastructure.
This could open up a completely different valuation approach for the Bitcoin mining group if they can convert part of their assets to serve HPC and AI.
The AI value chain is increasingly expanding:
Chip → Compute → Data Center → Power → Energy → Grid Infrastructure
And capital may no longer focus solely on companies creating the best AI models.
In the next phase, businesses controlling AI's "bottlenecks" — especially power, data centers, and compute — could become the most revalued group by the market.
At the same time, BTC and ETH ETFs are showing capital divergence; Strategy continues to sell BTC, while instability around Hormuz is supporting energy prices.
Many narratives are running in parallel.
But AI Infrastructure remains one of the most important themes to watch.
The early phase of AI was a race to build models.
The next phase could be a race to own the infrastructure to operate those models.
#AIInfra #AIInfrastructure #DataCenter #AICompute #Energy #NVDA #Anthropic #BTC #ETH🚢 Houthi forces in Yemen have taken action in the Mandeb Strait, hitting a ship transporting Saudi military equipment.
On the same day, another Saudi commercial vessel was attacked in the Mandeb Strait, resulting in 3 crew deaths and 7 injuries.
The Houthis announced a "maritime blockade" against Saudi Arabia in late July. Over the past two weeks, Saudi oil tankers have been attacked multiple times in the Red Sea and the Gulf of Aden. The transport volume through the Mandeb Strait has dropped by nearly 50% compared to before the attacks.
This strait affects about 2.6 million barrels of crude oil trade daily. If the blockade continues, the geopolitical premium on oil prices will be hard to dissipate. Brent crude has already surged past $102. For BTC, high oil prices mean inflation expectations remain elevated, the Federal Reserve is unlikely to ease, and risk assets continue to face pressure.
The Strait of Hormuz is still closed, and now the Mandeb Strait is on fire. With both critical chokepoints blocked simultaneously, the energy market tension is tighter than expected.
👇 Do you think oil prices will surge again because of this wave of attacks? Share your thoughts in the comments. Tomorrow's Major CPI Preview! $BTC and U.S. Tech Stocks, Three Market Scenario Outlines
📰 Macro Outlook | The entire market awaits inflation data to set liquidity direction
Tomorrow's U.S. CPI inflation data is about to be released, serving as the most critical catalyst currently influencing global risk asset pricing. At present, whether it's U.S. AI computing power and storage sectors or BTC and ETH, all are in a wait-and-see grinding phase. Institutional funds are proactively reducing positions, awaiting inflation results to reprice the Fed's rate cut timeline.
First, clarify the underlying transmission logic: CPI data directly changes market expectations on the duration of high interest rates, affecting U.S. Treasury yields and the strength of the dollar.
Correlation between crypto assets and U.S. growth stocks continues to rise; expectations of looser liquidity benefit risk assets collectively; stubborn inflation and delayed rate cuts generally pressure high-valuation assets.
Three scenarios forecasted in advance:
✅ Scenario 1: CPI data below expectations, inflation continues to cool
Rate cut expectations heat up again, U.S. Treasury yields decline. U.S. stocks like NVDA, storage sector MU, SNDK see a recovery rally; BTC leads an upward test of the upper box boundary, $ETH, due to its high beta nature, will have stronger rebound elasticity. Funds favor risk assets, crypto ETF capital is expected to restart inflows.
⚖️ Scenario 2: CPI within expected range
Likely to produce a "volatility first, then consolidation" market, with short-term rapid spikes causing stop-loss sweeps, making sustained one-sided trends difficult. Market focus will shift to subsequent economic data; $BTC and $ETH continue range-bound oscillation, with clear sector differentiation and independent trends among strong and weak stocks.
❌ Scenario 3: CPI above expectations, inflation shows stickiness
Market prices in "high rates maintained longer," strengthening the dollar and U.S. Treasury yields. U.S. tech growth stocks face pressure and pullback; risk appetite quickly declines, BTC and ETH fall in sync, with ETH's volatility and retracement usually greater than BTC's. Leveraged markets are prone to concentrated liquidation pressure. Notable market differentiation: in a volatile environment, funds prefer BTC for its stronger safe-haven attributes; only with a broad market recovery will incremental funds flow into ETH to play the ecosystem game.
Practical advice: Volatility will sharply increase during the data window; avoid heavy positions betting on direction in advance. Wait for data release and clear market signals before participating; prioritize risk control #财报观察员：AI基建财报接力登场
⚠️ Market outlook analysis, not investment advice📊 $KAITO Contract Liquidation Express (August 17)
According to liquidation data, this wave of longs was brutally crushed by the short sellers...
Time Total Liquidations Long Liquidations Short Liquidations
1 hour $21,300 $21,300 $0
4 hours $32,800 $32,600 $175.14
12 hours $78,700 $57,300 $21,300
24 hours $186,200 $117,200 $69,000
From the $KAITO liquidation data, long liquidations dominate short liquidations in the 1-hour and 4-hour periods, with zero shorts liquidated in 1 hour and only $175 shorts liquidated in 4 hours. The long liquidation surged from $21,300 to $32,600, indicating a short-term explosive long squeeze. In 12 hours, longs still hold the advantage but shorts begin to appear at a ratio of about 2.7:1, showing a long squeeze across short to mid-term cycles. In 24 hours, long liquidations soared to $117,200 with a ratio of about 1.7:1, while short resistance significantly increased—short liquidations rose from zero in 1 hour to $69,000, approaching the long liquidation level, indicating a balance of power between longs and shorts. The short sellers on KAITO executed a rhythm evolution: pure short-term long liquidation, mid-term short squeeze undercurrent, and long-term tug-of-war between longs and shorts—the short-term longs were targeted and destroyed, while long-term shorts' resistance strengthened but longs still dominate. Total liquidations exceeded $180,000, leaving the directional choice uncertain. Everyone, manage your positions carefully to avoid being harvested back and forth.
🔥 Market Indicator | August 17
Today's three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" stage—the market not only watches who invests more but also who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered their first "report card" on AI investments. Amazon AWS revenue reached $42.2 billion, up 37% year-over-year, marking the fastest growth in 18 quarters; Microsoft Azure grew 43% YoY, with annual Azure revenue surpassing $100 billion for the first time; Google Cloud revenue hit $24.8 billion, soaring 82% YoY. The four cloud providers' unfulfilled orders totaled approximately $2.33 trillion, up 188% YoY.
But the cost is equally real. Google and Amazon turned negative in free cash flow, and the four companies' capital expenditures surged from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue, punishing narratives of investment without returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. The market expects overall CPI YoY to fall from 3.5% to 3.4%, and core CPI to drop from 2.6% to 2.5%.
After July's unexpected negative nonfarm payrolls, CME data shows the probability of a September rate hike remains at 51.2%. Fed Chair Powell has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate up to 2% on the day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants simultaneously announced financing plans.
Nvidia partnered with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR to establish an independent computing power financing platform, aiming to leverage over $500 billion in third-party capital. Essentially, this turns GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, its stock price dropped about 4%, with market concerns over equity dilution.
Both paths point to the same conclusion: the AI chip competition has evolved from a technology race into a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but the $151.4 billion quarterly capital expenditure reminds the market—the pace of burning money has never slowed; every basis point of tonight's CPI could tip the scale for September's rate hike; and Nvidia's and Intel's $500 billion and $15 billion financing plans announced on the same day mark the official entry of the AI race into a "capital-intensive" new phase. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 Nasdaq has established a twenty-three-hour trading mechanism, completely tearing open the traditional cool-off period of U.S. stocks, with the order book showing distinctly different pressure states during the nighttime session.
The depth of buy and sell orders outside the main trading session is significantly insufficient, and a small number of minor orders can quickly widen the spread and cause abnormal slippage.
Earnings reports or macro data released late at night directly impact the market, with high-frequency quantitative funds accelerating cross-market linkage in a low-depth environment.
Capital flow is segmented into non-core periods, and the extension of trading hours directly leads to fragmented liquidity distribution.
If large institutional market makers continuously inject high-depth two-way orders during the overnight session, narrowing the bid-ask spread to daytime levels, the price impact caused by liquidity fragmentation will be alleviated; if market-making capital participation falls short of expectations, market fragility cannot be eliminated.
If a sudden event late at night triggers quantitative sell orders to continuously hammer the market, the weak buy-side depth will amplify the downward volatility of the market; only when large funds in the core trading session step in to take over can this liquidity gap be stopped.
The falsification signal of this liquidity shock simulation lies in whether the bid-ask spread during non-core periods can quickly narrow and remain stable.
The most important variable to observe in the next seven days is the actual change in the order depth of institutional market makers during the overnight session.
#贝莱德IBIT换购门槛降至100万美元 #火箭实验室财报超预期，商业航天热度延续 #比特币矿企Riot获Anthropic算力大单📊 $HYPE Contract Liquidation Express (August 17)
According to liquidation data, longs and shorts are repeatedly slaughtering each other, with the dog whales harvesting back and forth...
Time Total Liquidation Long Liquidation Short Liquidation
1 hour $28,900 $8,281.52 $20,600
4 hours $69,700 $40,300 $29,400
12 hours $706,800 $584,100 $122,700
24 hours $871,700 $709,700 $162,000
From the $HYPE liquidation data, short liquidations crush longs in the 1-hour and 4-hour periods; 1-hour shorts are 2.48 times longs, 4-hour ratio about 1.37 times, indicating a short squeeze market fiercely unfolding in short cycles; the 12-hour direction completely reverses, with long liquidations crushing shorts, longs are 4.76 times shorts, a full-scale long liquidation outbreak; the 24-hour long advantage continues to expand, long liquidations soar to $709,700, 4.38 times shorts. The dog whales on HYPE have completed a fierce turnaround from short squeeze to long liquidation — short-cycle short chasing is targeted for liquidation, mid-to-long cycle long chasing is wiped out, cumulative liquidations exceed $870,000. Everyone control your positions well, don’t get harvested back and forth.
🔥 Market Indicator | August 17
Today’s three hot topics point to the same theme: AI infrastructure is moving from "burning money" to "accounting" stage — the market not only watches who invests more but also who profits faster.
🏗️ AI Infrastructure Earnings Relay: Cloud Revenue Accelerates, Cash Flow Tightens
In Q2 earnings season, the four major cloud providers delivered the first "report card" on AI investments. Amazon AWS revenue $42.2 billion, +37% YoY, fastest growth in 18 quarters; Microsoft Azure +43% YoY, Azure revenue surpasses $100 billion annually for the first time; Google Cloud revenue $24.8 billion, surging 82% YoY. The four cloud providers’ unfulfilled orders total about $2.33 trillion, soaring 188% YoY.
But the cost is equally real. Google and Amazon’s free cash flow turned negative, and the four companies’ capital expenditures soared from $39.6 billion in Q1 2024 to $151.4 billion in Q2 2026. The market is voting with its feet: rewarding companies that can convert computing power into real cloud revenue, punishing narratives with investment but no returns.
📊 CPI Released Tonight: The Scale for September Rate Hike Hangs in the Balance
At 20:30 Beijing time on August 12, the US July CPI will be released. Market expectations are overall CPI YoY falling from 3.5% to 3.4%, core CPI dropping from 2.6% to 2.5%.
After July’s nonfarm payrolls unexpectedly turned negative, CME data shows the probability of a September rate hike remains at 51.2%. Fed Chair Waller has clearly stated the 2% inflation target "leaves no room for maneuver." JPMorgan warns the CPI report could cause the S&P 500 to fluctuate up to 2% on the day.
💰 Nvidia $500 Billion vs Intel $15 Billion: Diverging Paths
On August 10, two chip giants announced financing plans simultaneously.
Nvidia, together with Apollo, BlackRock, Blackstone, Goldman Sachs, and KKR, set up an independent computing power financing platform aiming to leverage over $500 billion in third-party capital. Essentially turning GPUs from consumables into financeable infrastructure assets.
Intel announced a $15 billion common stock issuance, its first public offering since going public in 1971. After the announcement, its stock price dropped about 4%, with market concerns over equity dilution.
Both paths point to the same conclusion: the AI chip competition has escalated from a technology race to a capital race.
💎 Summary
Cloud providers prove AI demand is real with 43% revenue growth, but $151.4 billion quarterly capital expenditure reminds the market — the pace of burning money has never slowed; every basis point of tonight’s CPI may decide which way the September rate hike scale tips; and Nvidia and Intel’s $500 billion and $15 billion financing plans announced on the same day declare the AI race has officially entered a "capital-intensive" new phase. #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？
#AI基建融资升温，英伟达英特尔路径分化 Let me share a psychological dilemma that many traders face: closing a position is actually very simple, but the hardest part is re-entering the market afterward.
I've noticed a trait: when holding BTC or ETH positions, the floating profit fluctuates up and down, and my mindset remains relatively stable. Once you close your position, the floating profits turn into real capital, and your mindset changes instantly.
I treat this profit as my investment, and small losses don't matter. But if I lose the money I earn, the psychological pressure multiplies. That's a natural psychological bias.
Last night, ETH was closed at 1876, and since then, the market has been almost completely shaken.
I have two conflicting thoughts: if the price falls below 1876, re-entering the market would raise costs, and I would be very hesitant; Breaking above 1881 means only $5 in space, not reaching the profit-loss ratio I want.
On one hand, they worry about a missed rally, but on the other, they are reluctant to give up profits they've already pocketed.
One more thing: even if the price slightly breaks through 1881, it cannot be directly judged as bullish strong. After surging higher, the lack of momentum to continue rising actually indicates weak buying momentum, creating short-selling opportunities going forward.
Before closing a position, you have a clear plan; after exiting, it's hard to stick to it.
Greed, fear, fear of loss, regret over missing out—once the funds are truly cashed out, all emotions interfere with decision-making. #财报观察员: AI infrastructure earnings report debuts in succession. #本周三CPI公布, will the September rate hike pricing be rewritten? After the two recent sharp drops, I have become increasingly focused on one change: the market's leadership may be undergoing a phased shift from BTC to ETH. My core strategy remains unchanged: a bearish view on BTC and looking for long opportunities in ETH. But this is not simply betting that “ETH will definitely rise and BTC will definitely fall,” rather it is wagering on a more important variable—whether ETH/BTC can continue to strengthen. This is the key to determining whether ETH has truly entered an independent trend. Why start paying attention to ETH? First, the two rounds of sharp declines have not completely destroyed ETH's previously relatively strong structure. In the past month, ETH once rose about 19.7%, while BTC rose about 11.7% in the same period, showing clear excess returns for ETH. Around August 8, there was also a very interesting market pattern: BTC was repeatedly suppressed by the $65,000 resistance, while ETH was the first to gain upward momentum. A single day alone cannot prove a trend, but if this phenomenon keeps repeating: BTC sideways → ETH rises
BTC small drop → ETH resists decline
BTC rebounds → ETH rises faster Then this is not ordinary following the rise, but capital starting to reprice ETH. Second, ETF funds are beginning to provide new institutional support for ETH. From August 3 to 7, the US spot BTC ETF had a net inflow of about $854 million, and the ETH ETF also received about $245 million net inflow during the same period. The absolute amount for BTC is still larger, but considering that E The Nasdaq 23-hour trading mechanism is segmenting market capital flows into non-core periods, exacerbating the risk of liquidity fragmentation. Order book depth outside the main trading session is significantly insufficient, allowing small orders to widen spreads and cause abnormal slippage. When earnings reports or macroeconomic data are released during late-night windows, the weak market depth directly triggers intense high-frequency quantitative trading battles and cross-market interactions. If institutional market makers continuously inject large two-way orders during non-core hours, narrowing the overnight bid-ask spread to daytime levels, this liquidity shock scenario becomes invalid.
#存储股抛压缓和，AI内存牛市还稳吗？ #火箭实验室财报超预期，商业航天热度延续 #闪迪8月13日投资者日临近，财报分歧待解