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$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The trending list first gives the total amount, but I usually look at the source because it better illustrates how the hype spread. In the one-hour snapshot updated by OKX Onchain OS at 23:00 on August 11, BTC was mentioned 49 times, X accounted for 38 times, and news 11 times; ETH was used 23 times, X 19 times, and 4 news events; SOL 20 times, X 19 times, and 1 news event. Converted, X accounts for about 78% of BTC hourly mentions, 83% of ETH, and 95% of SOL. These ratios are not good or bad scores, but rather indicate where the message is mainly spreading. X usually reacts faster and can capture immediate attention; News sources update more slowly but are easier to return to specific events. When sources are highly concentrated on X, the reasonable approach is to increase timeliness sensitivity rather than lower the verification standard. Concentration of sources also affects emotional proportions. BTC is currently 31% bullish and 27% bearish; ETH is 26% bullish, 30% bearish; SOL is 65% bullish, bearish 10%. If a large amount of text originates from reposting the same narrative, the classification ratio may be neat, but the amount of independent information may not be equally high, so the unified tone cannot be directly taken as broad consensus. News mentions that are not natural nor reliable either. The aggregate ranking only shows the source category and quantity, and does not mean that every news article has been confirmed by the project team or regulatory authorities. To make it factual, we should further open the agreement announcement,My Big Panda Bro's indicator is here!
Panda Bro uses SLRV dropping to historic lows to conclude that "Bitcoin's bottoming is almost done," but logically this is seriously untenable and has three obvious blind spots:
1️⃣ Confusing "state" with "point in time": SLRV dropping to extremely low levels only objectively describes the extreme dormancy of on-chain transactions at present, which absolutely does not equal price bottoming. Looking back at 2018, SLRV entered the bottom red box early, but the price then suffered a drastic 50% crash. The indicator entering a low level is merely a necessary condition for entering a bottoming phase, far from a sufficient condition. Directly declaring "bottoming complete" mistakes a long, disorderly bottoming range for a precise reversal point.
2️⃣ Ignoring the structural pattern of "flat bottom" consolidation: Considering Bitcoin's macro cycle evolution, real bear market bottoms rarely complete with a "V-shaped" sharp pullback; instead, they inevitably go through an extremely low volatility flat bottom structure. During this sideways shakeout phase, the market needs ample time to settle chips and thoroughly clear leverage and speculative funds. Simply seeing SLRV bottoming and declaring the bottoming phase over completely ignores the necessary process of flat bottom consolidation in both time and space.
3️⃣ Indicator failure due to rigid application: After spot ETFs and institutions took over the market, a large amount of trading shifted to internal matching within CEX and custody vaults, structurally changing on-chain UTXOs and causing the indicator's baseline to shift downward overall. Applying absolute values from the old cycle to the current institutionalized market is nothing but blindly guessing the bottom from the left side.
In summary, it is not advisable to heavily "bottom fish" at the current position; lightly waiting for a lower bottom is a safer approach, though dollar-cost averaging all the way down is also acceptable. #LQTYUSDT 2D
$LQTY is trading within a falling wedge pattern on the 2-day timeframe. A confirmed breakout above both the 50-day SMA and the wedge resistance could trigger a bullish move toward the following upside targets:
🎯 $0.2612
🎯 $0.2925
🎯 $0.3238
🎯 $0.3683
🎯 $0.4250
⚠️ Always remember to use a tight stop-loss and maintain proper risk management.Nasdaq finalizes 23-hour all-day trading, the entire financial market landscape is about to change
The idea of US stocks moving to 23-hour trading looks like it’s for the convenience of global investors, but my first reaction is: the market will never sleep again.
Previously, US stocks could close at night, giving everyone at least a cooling-off period. Now, with almost continuous trading, news, sentiment, capital, and quant bots take turns working; if you want to rest, the market won’t.
The worst part isn’t the longer trading hours, but that liquidity will be fragmented.
The real heavy volume still happens during the old trading hours; in the late night, it looks like you can buy and sell, but order books are thin, and a small amount of capital can easily move prices wildly. Retail investors placing orders at night are easily caught by slippage, spreads, and quant bots harvesting them back and forth.
There’s an even more practical issue:
Don’t say “wait until the market opens tomorrow” anymore.
Earnings reports, CPI, geopolitics, policies—any news will be reflected immediately in the market.
The risk of holding overnight positions isn’t doubled; it becomes continuous pressure all day long.
What I think is most worth warning about:
This move by US stocks isn’t just about competing with crypto for funds; it’s telling the world—
Traditional finance must start adapting to 24-hour asset pricing.
In the future, BTC, US stocks, AI stocks, storage chains, stablecoins will be increasingly interconnected.
Daytime is Asia-Pacific capital, nighttime is US institutional investors, late night is quant and leveraged funds.
In short: trading is freer, but people are more easily drained by the market.
So don’t just see “no need to stay up late,” see the four words behind it:
Never close.
That’s the scariest part.Tomorrow's Major CPI Preview! $BTC, $ETH, and U.S. Tech Stocks: Three Market Scenarios Analyzed
📰 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 mode. Institutional funds are proactively reducing positions, awaiting the inflation results to reprice the Federal Reserve'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.
The 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 and storage sector stocks MU, SNDK see a recovery rally; BTC leads an upward test of the upper range of its trading box, and $ETH, due to its high beta nature, will have stronger rebound elasticity. Capital favors risk assets, and crypto ETF funds are 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 typically experiencing larger volatility and retracement than BTC. Leveraged markets are prone to concentrated liquidation pressure.
Notable market differentiation: In a volatile environment, capital prefers the safer BTC; only when the market fully recovers 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 prematurely. Wait for data release and clear market signals before participating, prioritize risk control.
⚠️ Market outlook analysis, not investment adviceDamn, $XRP has dropped below $1 for the first time in over two years
From November 2024 until now, the $1 support line finally broke today.
Four factors combined to hammer it.
First, the Clarity Act was postponed again, voting pushed to September, regulatory expectations dashed
Second, XRP ETF funds plummeted—last week net inflow was only $1.01 million, down 93% from $14.86 million the previous week. Bitcoin ETF saw $850 million in a week, XRP only $1 million, the gap is absurd
Third, on-chain daily transactions dropped from 2.81 million on August 5 to 1.57 million, a direct 44% crash
Fourth, there was dumping—Grayscale’s XRP Trust sold $180 million in the first half of the year, and in the past 24 hours, XRP long positions liquidated $8.25 million, accounting for 97.5%
Technically even worse: EMA50 at 1.04, EMA200 at 1.07 pressing down hard, MACD death cross, RSI at 31, with targets below at 0.95, 0.90, 0.86
But some are bottom-fishing, whales bought 380 million XRP in the past week, worth nearly $400 million. Ripple just got the Luxembourg MiCA license, preparing to expand European operations. Smart money is entering while price is falling, both sides are clashing
My judgment: intense long-short battle at this level, small positions for testing the waters are fine
$1 has turned from support into resistance, on-chain activity collapsed, ETF funds dried up, regulatory uncertainty—none of these are good
Wait for price to reclaim 1.05, MACD golden cross, and ETF funds to return before entering. Going in now is like catching a flying knife [2026.8.12 BTC Market Analysis]
Let's start with the data. MicroStrategy sold 3,328 BTC in the past two weeks, raising about $213.33 million: from August 3 to 9, they sold 1,690 BTC at an average price of $64,262; from July 27 to August 2, they sold 1,638 BTC at an average price of $63,957. The funds were mainly used to repurchase STRC and pay preferred stock dividends.
I tend to interpret this round of decline as a risk-off move before the July CPI release, compounded by the US Treasury auction. The 3-year auction yield was 4.291%, with 10-year and 30-year auctions coming up; if yields continue to rise, it won't be favorable for BTC.
On the chart, Monday morning's spike first swept away the liquidity above. My short positions currently have floating profits and have been adjusted to break even. The rally on Friday was driven by news, but sell orders have long been stacked above 65,000, and new funds did not follow, so the price ultimately couldn't sustain the rise.
After filling the 64k gap, there is still room to continue shorting. However, I do not recommend rushing to open positions around the CPI release, as volatility can easily trigger stop losses; combined with the upcoming US Treasury auctions, I personally prefer to wait for a rebound to short at higher levels.
The above content is only my personal market analysis and trading ideas and does not constitute any investment advice. Please control your position size and risk according to your own situation. #Strategy sells another 1690 BTC, corporate treasury shows divergence
🔥Strategy sold another 1690 BTC, the era of "only buying and never selling" is completely over
Last week, Strategy sold another 1690 bitcoins at an average price of about $64,262, raising $108.6 million. All funds were used to repurchase STRC preferred shares.
This marks the fourth consecutive week of selling coins. Since the end of June, Strategy has sold approximately 6,916 BTC, cashing out about $429 million. Holdings dropped from 843,775 to 840,447 BTC. The average holding cost is about $75,400 per coin, and this sale price of $64,262 means they are selling at a loss each time.
Meanwhile, the company cashed out about $653 million by reducing common stock holdings, increasing cash reserves to about $4.65 billion.
No bitcoins have been bought in 7 weeks, but they have been continuously selling coins, hoarding cash, and repurchasing preferred shares. STRC previously fell below par value, and the company's core task is to bring it back to $100.
The slogan "never sell" has long been broken. Michael Saylor himself said: "I never said the company couldn't sell bitcoin."
Corporate treasuries are diverging—some are selling, some are buying. Bitmine has been buying ETH for 58 consecutive weeks. The market is voting with its feet.👇
$BTC 🇵🇰 Pakistan Signals a Possible US-Iran Deal — Geopolitical Pressure Eases, Crypto Bulls Get Some Breathing Room
Pakistan has indicated that the US and Iran may be close to reaching an arrangement, immediately easing some of the geopolitical risk premium in global markets.
Here’s what matters:
1️⃣ Geopolitical tensions may be cooling
Pakistan's statement that the US and Iran are “close to reaching some kind of arrangement” is a notable shift from the tougher rhetoric seen previously.
If negotiations continue to progress, markets could begin pricing in a lower probability of further escalation.
2️⃣ Oil + risk appetite
A reduced risk of disruption around the Strait of Hormuz could put pressure on crude oil prices after the recent move toward $82.
Lower oil prices would also ease some inflation concerns, potentially supporting broader risk assets.
3️⃣ What it could mean for BTC & ETH
📈 Short term: Geopolitical easing could help BTC escape the current consolidation around $64,000 and retest the $64,300–$64,500 resistance zone.
🔥 CPI remains the real catalyst: Wednesday's CPI report could determine whether this rebound develops into a larger move.
If inflation comes in softer than expected, the probability of BTC reclaiming $65,000+ increases significantly.
For ETH, the key area is around $1,900–$1,920. If risk appetite strengthens and BTC breaks higher, ETH could potentially show greater upside elasticity.
But there's one major risk:
⚠️ Buy the rumor, sell the fact.
Right now, we're talking about a signal that the two sides are close to an arrangement—not a finalized agreement.
If negotiations stall or the deal fails to materialize, today's relief rally could quickly lose momentum.
Bottom line:
Geopolitical tension is cooling, giving crypto bulls some room to breathe—but don't celebrate too early.
BTC needs a high-volume breakout above $64,500 to strengthen the bullish case.
ETH needs to reclaim and hold $USD1 ,900 before we start talking seriously about $2,000.
And ultimately, CPI remains the real boss. 🔥
$BTC TC $ETH ETH
#AIInfraEarningsWa$ETH is moving sideways near 1863, just one step away from the liquidation price of 1862 for a well-known on-chain whale holding 3650 coins. The most recent 4H bearish candle's volume is 2.56 times that of the previous rebound bullish candle, with selling pressure actively surpassing buying pressure. However, the overall volume during the downtrend is not large, indicating no concentrated panic selling, and buying interest is also quiet. The condition for strength is a volume surge and a move back above 1900-1910 after a moderate CPI release, which would relieve liquidation pressure and squeeze shorts in the opposite direction; the trigger for weakness is a break below 1850 on the candle body, where chained liquidations could amplify downward momentum to 1820 or even lower. If volume continues to shrink after the data release and price keeps oscillating between 1850-1910, a consolidation scenario will override directional judgment. Focus on the volume change of the first 4H candle after the CPI release.
#Strategy再卖1690枚BTC，企业财库出现分化 #贝莱德IBIT换购门槛降至100万美元 #存储股抛压缓和，AI内存牛市还稳吗？Here’s a sharper, more market-focused version:
$BTC
🧵 A Narrative From the Industry Side — Let’s See How It Plays Out
$ETH
The U.S. storage and memory sector is showing a broad recovery tonight, with both SK Hynix and SanDisk moving higher.
$SOL
The core story behind this memory cycle is actually quite simple:
AI has transformed HBM and high-end DRAM from traditional cyclical products into increasingly essential infrastructure.
As AI infrastructure demand accelerates, memory pricing has climbed back toward levels not seen since around 2007.
The fundamentals are compelling—but the smoother the narrative becomes, the more important it is to watch for the first meaningful bearish signal in the capital-expenditure cycle.
That’s where the real turning point could emerge.
I agree with the long-term fundamentals, but I'm much more cautious about the timing.
And for smaller names trying to ride the memory boom, the first question should be simple:
Do they actually have real orders?
Check customer demand, production capacity and cash flow before paying a premium for a PowerPoint story.
The memory cycle may have plenty of room to run—but not every company riding the narrative deserves the same valuation.
Follow the orders, not the hype.
#AI #Memory #HBM #DRAM #Semiconductors #SNDK #SKHYNIX
#AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges 🧵 Apple / CXMT: The New Monday Memory Test
Around 7:17 a.m. CT, memory stocks were already showing weakness pre-market:
$BTC MU ~$864, -1.5%
$ETH SNDK ~$1,194, -1.5%
$SOL WDC ~$429, -1.3%
Meanwhile, broader tech was relatively stable:
$QQQ ~$723, +0.01%
$SOXX ~$545, +0.3%
Reuters, following the Wall Street Journal, reported that Apple has tested memory chips from China’s CXMT for potential use in iPhones and MacBooks.
The New York Times also reported that the global AI-memory shortage has increasingly become a policy issue in Washington, with some U.S. officials reportedly resistant to Apple sourcing memory from Chinese suppliers.
Our read: the market is initially pricing this as a supplier-diversification risk rather than an immediate fundamental threat to the memory complex.
For $MU, the near-term reset still looks relatively contained—unless Apple receives broader approval to use CXMT memory, or CXMT can scale qualified supply enough to materially change FY27 pricing dynamics.
That second scenario is the one that matters.
If memory stocks continue to underperform after the open, the market may be testing whether this is simply a headline-driven reaction—or the beginning of a genuine shift in future supply and pricing expectations.
For now, watch the tape, not just the headline.
Source: Reuters / WSJ / New York Times
#CPIToResetFedBets
#AIMemorySelloffEases
#BTCETHETFInflowsReturn
#AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges 🇷🇺 Major regulatory news: The Russian central bank implements rules for layered crypto trading
Non-qualified investors (ordinary retail investors) can purchase up to 300,000 rubles in crypto assets per year by a single intermediary.
Screening criteria refer to market cap + 5 years of price history. Retail investors can only trade three instruments: BTC, ETH, and $USDT.
📌 Sorting out the core rules and details
1. Tiered investor management
✅ Non-qualified retail investors: mandatory risk test, annual limit of 300,000 rubles (about $3,700), limited to BTC/ETH/USDT, all altcoins prohibited;
✅ Qualified/Professional Investors: No investment limit limit, able to trade all types of crypto assets.
2. Underlying screening logic
Regulation sets entry thresholds based on market capitalization, average daily trading volume, and at least five years of continuous price history. The vast majority of altcoins fail to meet the standards and are directly excluded from retail trading lists.
3. Important boundaries
Cryptocurrencies are still prohibited from being used as payment tools within Russia, and are defined only as investment assets; The bill officially took effect on September 1.
Market impact deduction
🔹 Medium- to long-term structural positives $BTC & $ETH
Russia has officially incorporated crypto trading into its compliance framework, shifting from comprehensive crackdown to controlled openness. Domestic retail funds can only choose Bitcoin, Ethereum, and more, continuously diverting domestic funds into the two main streams, further strengthening the liquidity moat of mainstream coins.
🔹 This is a hidden negative factor for altcoins
Russia's large retail investor base has been directly cut off from compliant buying channels, reducing some of the potential incremental funds for counterfeit investors. Going forward, the global regulatory direction is clear: ordinary retail investors are only allowed to trade top highly liquid assets, making it difficult for niche counterfeits to enter national whitelists.
🔹 Short-term sentiment impact is limited
The limit is not high, with an annual cap of over $3,000 per person, which will not bring a huge increase in short-term volume. More importantly, it signals > actual capital increases, representing another major country completing crypto legislation and continuing global crypto compliance.
🔹 Additional key reminders
The rule restricts the "annual quota per intermediary," which theoretically allows multiple licensed institutions to distribute the quota, but regulatory efforts will likely promote cross-platform fund statistics to close loopholes. #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? I am Cige, and the AI infrastructure earnings week has officially begun. Lumentum, CoreWeave, Coherent, Applied Materials, Cisco—from optical communications to computing cloud, semiconductor equipment to enterprise networks, the core segments of the entire AI industry chain are reporting in the same week. After SpaceX's first batch of shares were unlocked, it returned to its IPO price, but on August 20, the next batch of about 7% restricted shares will be unlocked again. The core question the market needs to verify is simple: after burning so much money, have the orders actually converted into profits?
Lumentum, the litmus test for optical communications prosperity
Lumentum reports after market close tonight, with market expectations of revenue around $988 million, doubling year-over-year. It is the optical component supplier that both Google's TPU and Nvidia's GPU AI computing chains cannot bypass. Q3 revenue has already set a record at $808 million, with a non-GAAP operating margin of 32.2%. The key focus for Q4 is whether revenue can break $1 billion and if the profit margin can continue to rise. Lumentum's data directly answers how strong the prosperity of the optical interconnect line really is. If revenue and margins continue to exceed expectations, the short-term trade logic of shorting storage and going long on optical communications will be further reinforced.
CoreWeave, revenue doubled but losses also doubled
CoreWeave also reports after market close tonight, with market expectations of $2.56 billion revenue, up 111% year-over-year. However, adjusted loss per share is $1.21, expanding 339% year-over-year. This is a typical AI infrastructure company, with revenue doubling but losses also expanding. The market's pricing of CoreWeave already reflects very high growth expectations, with the stock price down 21% from its peak. If revenue beats expectations but loss narrowing is insufficient, the market will not buy it. If revenue fails to meet expectations, the valuation logic of the entire AI computing rental sector must be reconsidered.
Coherent, the AI moment for photonics
Coherent reports after market close Wednesday, with market expectations of about $1.98 billion revenue, up 30% year-over-year. Management previously guided $1.91 billion to $2.05 billion. Coherent is a leader in photonics, and AI data centers' demand for high-speed optical modules is exploding. Market expectations are for adjusted EPS growth of 62% year-over-year. If Coherent's data resonates with Lumentum's, the sentiment in the optical communications sector will be fully ignited. If there is divergence between the two, it means internal differentiation is occurring within the optical interconnect line.
Applied Materials, the barometer for semiconductor equipment
Applied Materials reports Thursday, with market expectations of $9 billion revenue, up 23.3% year-over-year, and EPS of $3.36, up 35.5%. Semiconductor equipment company earnings directly reflect the capital expenditure willingness of the entire chip industry. If Applied Materials' results and guidance are strong, it indicates wafer fabs are still expanding and AI chip supply is not slowing. If below expectations, the market will start worrying whether the AI chip capital expenditure cycle has peaked.
Cisco, AI orders raised from $5 billion to $9 billion
Cisco reports after market close Wednesday, with market expectations of $16.85 billion revenue, up 15%. Cisco has raised its FY2026 AI infrastructure order forecast from $5 billion to $9 billion. The full-year revenue guidance has been raised to $62.8 billion to $63 billion. Cisco is the company in the AI infrastructure chain that best reflects enterprise demand; its AI order growth directly tells the market whether enterprise customers are willing to pay for AI infrastructure.
The differentiation in the AI infrastructure sector has already begun
The earnings reports from these five companies will collectively paint a complete picture of AI infrastructure prosperity. Lumentum and Coherent validate optical communications, CoreWeave validates computing rental, Applied Materials validates equipment, and Cisco validates networking. The market's current core contradiction is no longer whether AI has demand, but whether that demand can be converted into sustainable profits.
From current data, revenue growth generally ranges from 20% to over 100%, but profit margin differentiation is very obvious. Lumentum's Q3 margin has reached 32%, while CoreWeave's losses are still expanding. The market will become increasingly selective, only giving premiums to companies that can improve gross margins; companies that only burn money by stacking orders will be repriced.
Impact on BTC
Capital expenditure on AI infrastructure is still accelerating. Cisco's AI orders have been raised from $5 billion to $9 billion, Applied Materials' revenue expectation is $9 billion, and Lumentum's revenue has doubled. The pace of burning money has not slowed, and the erosion of fiat credit is accelerating. Every AI infrastructure financing and order fulfillment reminds the market of the boundaries of dollar credit. In the short term, if AI earnings are generally strong, tech stock sentiment will recover, and BTC, as a high-beta asset, will benefit simultaneously. If there is differentiation or underperformance, tech stocks will be pressured short term, dragging BTC down. But the mid-term logic remains unchanged: AI infrastructure capital expenditure is still expanding, fiat credit is still being consumed, and BTC's narrative as a non-sovereign asset will only strengthen.
The differentiation in the AI infrastructure sector is short-term; the direction is long-term. Burning money is not the problem; burning money without seeing returns is the problem. This week's five earnings reports will tell the market which money has produced profits and which is still burning, waiting for answers.
Cige has finished speaking. Ponder it carefully. #财报观察员：AI基建财报接力登场 $BTC $ETH $BICO Off-balance-sheet leverage accumulation in AI infrastructure financing runs parallel to traditional equity dilution, driving a pricing divergence in the tech token derivatives market. The weakened willingness of spot capital to follow up is putting clear valuation pressure on $XQQQ.
On-exchange capital flow shows that spot buying increments in the computing power sector are slowing, while derivatives open interest oscillates at a critical point. A $500 billion third-party funded capital pool has packaged and transferred hardware assets off-balance-sheet, temporarily maintaining the top chip manufacturers' book cash flow but delaying the real computing power demand clearing cycle.
Among the liquidity drivers affecting the market, implicit leverage from off-balance-sheet financial engineering ranks first, followed by direct equity dilution on the chip manufacturing side. Intel has increased its equity dilution scale from $15 billion to $20 billion through additional issuance. After this new supply enters the market, it directly suppresses the sector's overall net capital inflow rate.
The bullish scenario is based on the assumption that downstream computing power monetization efficiency exceeds expectations. If the $500 billion financing corresponds to terminal applications generating higher-than-expected cash flow, or if controlling capital continues to increase spot custody buying, short squeezes in derivatives will trigger a rebound. This scenario requires monitoring whether $XQQQ spot buy order depth continuously hits new highs; if call option open interest grows rapidly and spot premium rises, the bearish logic will be forcibly broken.
The bearish scenario depends on the gap between off-balance-sheet leverage liquidation risk and spot market absorption capacity. When third-party balance sheets cannot withstand hardware depreciation pressure, or the $20 billion additional issuance supply continues to be sold, spot outflows will induce a chain reaction of derivatives liquidation. Key variables to watch are whether derivatives funding rates turn persistently negative and changes in spot buy order thickness at critical support levels.
When the spot market experiences a single-day large net inflow and the tech token spot premium recovers above historical averages, the bearish view becomes invalid. Additionally, if the top concentration reabsorbs over 80% of the market liquidity, the marginal drag from off-balance-sheet leverage will be forcibly erased.
In the next 7 days, focus on observing the ratio changes between $XQQQ derivatives open interest and spot net outflows, as well as the digestion progress of the $20 billion additional issuance selling pressure within the spot buy pool.
#标普收盘再创新高，8000点预期升温 #AI基建融资升温，英伟达英特尔路径分化 #CLARITY表决推迟至9月，监管窗口后移📰 【Brazil's largest bank Itaú further deepens tokenization】
Traditional banks are starting to take tokenization seriously, indicating that the RWA narrative is still alive. But don't rush in; when big institutions enter, it's often about managing industry expectations, and retail investors following the trend may end up taking the last hit. The key is to watch if there is actual ecosystem implementation and liquidity afterward, rather than just reacting to news hype. Do you think this wave will drive a Latin American Meme season? 👇👇👇
$BTC $ETH $BNB 🧵 Memory Stocks: Short-Term Bounce, Bigger Shift Ahead
$BTC
Apple reportedly testing Changxin Memory’s DRAM for iPhone and MacBook could be more important than it initially appears. It signals that major device makers may be exploring alternative memory suppliers, potentially challenging the highly concentrated structure of the global memory market.
Despite strong earnings, memory names such as $BTC SNDK, SK Hynix and Samsung have faced significant selling pressure. The recent rebound in Korean memory stocks looks more like a short-term recovery after leveraged positions were unwound—not yet a confirmed fundamental trend reversal.
$ETH
If Changxin eventually becomes part of Apple’s supply chain, the bigger impact could be on future market expectations and pricing power.
At the same time, expanding memory capacity and massive planned capex could gradually reduce the scarcity premium that has supported memory prices.
AI demand remains strong, but the era of effortless memory price increases may be approaching a turning point.
Short-term bounce ≠ long-term trend reversal.
The next phase will be about supply growth, pricing power and whether demand can continue absorbing the new capacity.
Patience matters.
#OKXTraderVoices
#SP500Eyes8000
#WhiteHouseVsLisaCook
#AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges Here’s a sharper, more concise version with a stronger investor-focused tone:
#AI infrastructure financing heats up, NVIDIA and Intel take two completely different paths
The AI race is entering a capital-intensive stage. The battle is no longer just about chip performance—it’s increasingly about who can mobilize the most capital to fund AI infrastructure expansion.
NVIDIA, alongside BlackRock, Blackstone, Goldman Sachs and other institutions, is reportedly building an AI computing-power financing platform designed to leverage more than $BTC 500 billion in third-party capital over the long term. The goal is to help customers finance data centers and GPU purchases.
The strategy is straightforward: NVIDIA uses its ecosystem to expand customers’ purchasing power. Financing institutions and customers carry much of the capital burden, while NVIDIA continues monetizing GPU demand and expanding the CUDA ecosystem.
Intel is taking a very different approach.
The company plans to raise capital through a common-stock offering, increasing the targeted financing from $SOL 15 billion to $ETH 20 billion. The funds are intended for capital expenditures, working capital, AI chips and advanced manufacturing.
Same AI infrastructure race, completely different financing models:
🔹 NVIDIA: Uses its ecosystem and external capital to stimulate customer demand and accelerate infrastructure deployment.
🔹 Intel: Raises equity directly to fund its own expansion, production capacity and technological catch-up—while accepting the downside of shareholder dilution.
AI infrastructure is becoming a long-term competition measured in hundreds of billions of dollars.
The next generation of winners won't just need superior technology and strong customers. They will also need the ability to mobilize capital at scale.
NVIDIA is using its ecosystem to finance expansion.
Intel is still using its own balance sheet—and its shareholders—to buy time.
$NVDA $INTC #AI #美股 #科技股
#AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges Account Position Divergence Radar
Both are bullish, but account bullishness and heavy positions are not the same thing; the difference is shown in this chart.
$DOGE account direction is bullish, while top holders' positions are bearish; the side with more people is temporarily not the side with heavier top positions. There is a 15-minute decline with position reduction; currently, the clearest trend is position exit and deleveraging. The account side is already bullish, so next we watch whether top positions are willing to shift their weight to the same side.
$XRP account numbers consistently show bullishness, but the top holders' position ratio remains below 1, so the numerical advantage has not turned into a top position advantage. Price and positions are both falling back, releasing pressure from position reduction; which side is exiting cannot be confirmed by this data alone. The next step for the bullish side is not more accounts, but confirmation of top position weight.
$CAP there is a mismatch between long and short ratios; the number of people, top accounts, and top positions cannot yet be combined into one conclusion. The price-position combination is falling with increased positions, making short-side pressure easier to continue, but it still depends on whether the price continues to break lows. The ratios are moving independently; short-term is better suited to wait for resonance rather than chasing direction based on a single ratio. Hidden in an observation post in the Texas desert, facing the wind with three sections, the wind direction deviates two points to the left, my barrel remains absolutely cold. For a top sniper, most of the market's noise is just ineffective static; the truly deadly strike is always hidden in the silent correction of the trajectory.
At the focal point of the crosshair, Riot's position in Rockdale has just completed an extremely rare tactical shift. This 20-year long-term strategic agreement signed with a computing power giant has an initial value of $9.1 billion, capped at an astronomical $16.1 billion after full extension. The 191-megawatt grid throughput capacity will be fully converted into a heavy-duty base supporting next-generation intelligent computing by June 2028. The pre-market stock price instantly surged over 20%, with the outside world cheering this dazzling flash, but I only see a deeper killing intent after the defense zone shift.
This bullet did not leave a direct penetration mark on the spot market (BTC) target. But this is precisely the most dangerous hidden disguise. In the past, traditional mining bases had to periodically dump spot chips into the market to pay high electricity and defense costs, and this forced exposure of supply lines constituted a long-term structural selling pressure on the market. Now, with this massive computing power lease cash flow on a 20-year cycle loaded into the magazine, the logistics supply line of the mining base has been completely reshaped.
No longer needing to sell chips to the market to maintain operations means that those hidden ammunition depots of selling pressure are being shut down. Miner assets are evolving from single chip-producing units into underground fortresses controlling heavy power and data center infrastructure. This qualitative change in cash flow structure not only reconstructs the chip supply curve for future cycles but also redefines the related valuation logic.
Meanwhile, the US stock token $XSPCX also shows extremely sensitive ballistic linkage in the observation scope. The traditional US stock capital's revaluation of infrastructure value is directly transmitted to the crypto capital market through the computing power asset link. The blurring of computing power boundaries is pulling traditional finance and the crypto ecosystem into the same crosshairs.
True hunters never frequently pull the trigger, nor expose their position in mediocre markets without absolute profit and loss ratios. While others are still watching the pre-market gains haze, the logistics funds have already completed the defense layout for the next 20 years.
Wind measurement complete, bullet loaded.
#RiotSignsAnthropicDeal 🚨 STRATEGY sells $BTC again
—— This changes the liquidity story
Strategy has just disclosed another sale of 1,690 BTC, approximately $108.6 million, marking its second consecutive week of disposals. Its Bitcoin holdings now stand at 840,447 BTC, while the company's USD reserves have climbed to about $4.65 billion.
The important part is not just these 1,690 BTC.
The key lies in why these coins were sold.
The proceeds were used to fund STRC preferred stock buybacks, while Strategy raised about $653.1 million by selling MSTR shares to boost its USD liquidity.
This sends a very different signal from the traditional narrative that "Strategy only buys Bitcoin."
🧠 A bigger shift
Strategy has not abandoned its Bitcoin strategy.
Instead, it is demonstrating a fact the market may need to price in:
When balance sheet priorities demand liquidity, corporate Bitcoin treasuries can also become sellers.
This does not automatically mean a structural bearish shift.
But repeated sales reduce marginal corporate buying while increasing market supply.
Timing is also critical.
$BTC remains below the $65,000 area, while oil prices and tomorrow’s US CPI make the macro backdrop highly sensitive.
📉 What to watch now
If Strategy continues selling:
➡️ Corporate demand support weakens
➡️ Available BTC supply increases
➡️ ETF fund flows become more important
➡️ Price becomes increasingly dependent on broader liquidity
But there is another side.
Strategy still holds one of the world’s largest corporate Bitcoin treasuries, and its $4.65 billion USD reserves provide ample liquidity.
So this is not necessarily a "Bitcoin end" signal.
It reminds us that even the most aggressive corporate BTC holders operate under capital allocation constraints.
👀 The real question
How much more BTC can Strategy sell before the market stops viewing these disposals as temporary treasury management—and starts seeing them as a sustained source of supply?
This answer may be more important than the next headline.
#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？ 🚨 STRATEGY IS SELLING $BTC AGAIN — AND THAT CHANGES THE LIQUIDITY STORY Strategy just disclosed another 1,690 BTC sale for approximately $108.6M, marking its second consecutive weekly disposal. Its Bitcoin holdings now stand at 840,447 BTC, while the company’s USD reserve has climbed to roughly $4.65B. The important part isn’t simply the 1,690 BTC. It’s why the coins were sold. The proceeds were used to fund an STRC preferred-share repurchase, while Strategy simultaneously raised approximatelyThe short-term sentiment for SOL is clearly more bullish, taking the lead; don't mistake the hype for market movement yet.
OKX Onchain OS recorded 20 mentions of SOL in one hour at 23:00 on August 11, which is about 0.89 times the average hourly mentions over the past 24 hours. The current sentiment is "clearly more bullish."
Here, two things need to be separated: a faster increase in mentions only indicates more new discussions; a dominant bullish or bearish sentiment only reflects text classification, neither equates to actual buy or sell orders. In this round of sources, X accounts for 19 mentions and news for 1 mention. The more concentrated the sources, the easier it is for a single narrative to be amplified.
I will wait for the next snapshot to confirm if the speed and sources continue, then review spot trading volume, funding rates, open interest, and on-chain usage. When the data corroborate each other, this wave of hype will be worth a closer look.🚨 STRATEGY IS SELLING $BTC AGAIN — AND THAT CHANGES THE LIQUIDITY STORY
Strategy just disclosed another 1,690 BTC sale for approximately $108.6M, marking its second consecutive weekly disposal. Its Bitcoin holdings now stand at 840,447 BTC, while the company’s USD reserve has climbed to roughly $4.65B.
The important part isn’t simply the 1,690 BTC.
It’s why the coins were sold.
The proceeds were used to fund an STRC preferred-share repurchase, while Strategy simultaneously raised approximately $653.1M through MSTR share sales to strengthen its dollar liquidity.
That creates a very different signal from the classic “Strategy only buys Bitcoin” narrative.
🧠 THE BIGGER SHIFT
Strategy hasn’t abandoned its Bitcoin strategy.
Instead, it is demonstrating something the market may need to price in:
Corporate Bitcoin treasuries can become sellers when balance-sheet priorities demand liquidity.
That doesn’t automatically mean a structural bearish shift.
But repeated sales remove part of the marginal corporate bid while adding supply to the market.
And the timing matters.
$BTC remains below the $65K area, while oil prices and tomorrow’s U.S. CPI keep the macro backdrop highly sensitive.
📉 WHAT TO WATCH NOW
If Strategy continues selling:
➡️ Corporate demand becomes less supportive
➡️ Available BTC supply increases
➡️ ETF flows become even more important
➡️ Price becomes increasingly dependent on broader liquidity
But there’s another side.
Strategy still holds one of the largest corporate Bitcoin treasuries in the world, and its $4.65B USD reserve provides substantial liquidity.
So this isn’t necessarily a “Bitcoin is over” signal.
It’s a reminder that even the most aggressive corporate BTC holders operate under capital-allocation constraints.
👀 THE REAL QUESTION
How many more BTC can Strategy sell before the market stops viewing these disposals as temporary treasury management — and starts treating them as a persistent source of supply?
That answer could matter more than the next headline.
$BTC $MSTR $STRC $BEAT $SNDK $ETH
#AIInfraEarningsWatch Strategy just unloaded another 1,690 $BTC for $108.6 million, its second weekly sale, pushing 2026 disposals near 7,000 coins. Proceeds funded a $STRC preferred buyback while the firm raised more cash via $HMSTR strategy shares, lifting its USD reserve to $4.65 billion. Holdings now sit at 840,447 $BTC, still the largest corporate stash, but bought at a cost basis well above today’s $63,500–$64,000 range. The signal is clear: even the most committed Bitcoin treasury is prioritizing liquidity aETF funds collectively experience a phased outflow! Institutions uniformly take profits ahead of CPI, with BTC and ETH funds showing increasing divergence
📊 Cross-market fund monitoring | Latest ETF fund data from US Eastern Time
Data shows that the US spot BTC spot ETF recorded a single-day net outflow of $145 million, with BlackRock IBIT as the main outflow driver; meanwhile, the $ETH spot ETF also faced fund withdrawals.
The only counter-trend inflow came from the Grayscale Mini BTC Trust, showing a slight net inflow, with funds clearly concentrating on the larger and more liquid BTC assets.
The fund behavior clearly reflects the current institutional mindset: locking in some profits on a large scale before key inflation data is released to reduce portfolio risk exposure.
The divergence between the two major coins is further amplified:
▫️ $BTC: Larger scale of fund inflows and outflows, with funds choosing to cluster together; remains the preferred core holding for institutional crypto assets in volatile environments.
▫️ $ETH: Fund inflows remain weak, lacking sustained incremental capital support, making it easier to underperform BTC in a choppy market.
Correlation with US stocks scenario:
If CPI data is lower than expected, easing rate cut expectations will revive, safe-haven funds will flow back into crypto ETFs, and risk assets will collectively recover;
If inflation data remains stubborn, US Treasury yields stay high, high-volatility assets will be under pressure, and $COIN, mining tech stocks, BTC/ETH will simultaneously face adjustment pressure.
Many traders habitually judge trends by single-day fund flows, but it should be remembered: single-day fund movements represent short-term behavior, and only multi-day trends have reference value. The current optimal strategy is to wait for the macro shoe to drop and avoid heavy positions betting on direction prematurely.
⚠️ Market observation only, not investment advice Goldman Sachs' real signal is not that “ETH and BTC are on equal footing,” but that Wall Street has already started actively rebalancing Crypto
In Q4 last year, Goldman Sachs disclosed about $2.36 billion in crypto ETF exposure, with BTC accounting for about 46% and ETH about 42%, nearly equal-weight at one point.
But the latest Q1 13F is completely different:
BTC ETF still about $715 million, ETH down to about $114 million, ETH position cut by about 70%, XRP and SOL ETFs even cleared out.
This instead reveals a more important institutional logic:
BTC is increasingly like a liquidity anchor and core Crypto allocation;
ETH is more like a growth-oriented on-chain financial asset, with positions quickly adjusted based on risk appetite, ecosystem growth, and valuation.
But 13F should not be simply understood as “Goldman Sachs itself being bullish”: these positions may include client business, market making, and hedging, and the data is naturally lagging.
The true sign of institutionalization is not that Wall Street always buys, but that Crypto has become a formal asset class that can be continuously increased, decreased, and rebalanced. $BTC #本周三CPI公布，9月加息定价会改写吗？ The market is tightening up ahead of the U.S. July CPI release. $BTC has slipped back toward the $64K area, while $ETH is trading around $1.87K as traders reduce risk ahead of Wednesday’s inflation data. But the interesting part isn’t simply that prices are falling. It’s the disconnect between price and capital flows. 👀 🏦 INSTITUTIONAL DEMAND VS. PRICE Recent spot ETF flows showed meaningful demand, with roughly $853.5M flowing into U.S. spot Bitcoin ETFs and around $244.9M into spot Ethereum #AI infrastructure financing heats up, Nvidia and Intel diverge paths
$HOME
Recently, the buzz around HyperEVM has been getting louder, and the market's first reaction is to suppress the risk premium of related ecosystem tokens. HOME dropped 20% in 24 hours, hovering around $0.01, with short-term funds seemingly actively avoiding this narrative, not wanting to wait for any explanation.
This actually reveals a lot: when top KOLs publicly say that 13 out of 18 projects are a waste of time, the market doesn't bother debating who's right or wrong; it simply reprices the entire sector. The mindset of the funds is straightforward—when the narrative fades, liquidity will concentrate only on assets that have been validated, not linger in controversial areas.
The real linkage logic is here: the cooling of HyperEVM won't directly hit BTC, but it will make funds more inclined to move toward mainchains like ETH and SOL with deeper liquidity. The AI Agent financial demand proposed by Grayscale essentially talks about the programmable wallet infrastructure of ETH and SOL. Once this comparison emerges, funds naturally prefer to stay in places with higher certainty. For HOME to rebound, a major prerequisite must be met: either BTC stabilizes and ETH strengthens again, or new funds are willing to step in and take over in the HyperEVM ecosystem. When BlackRock cut the IBIT redemption threshold from 25 million to 1 million, the narrow gate on the chessboard that only allowed rooks to pass suddenly opened to all bishops and knights.
This was not a pass for pawns. Retail investors still stood outside the fence, watching the major pieces on the board exchange positions. The real moves were made by those holding heavy forces. In chess, piece mobility is always more lethal than piece quantity. A rook pinned to the back rank is less threatening than a bishop that can cross the board at any time. By lowering the IBIT physical conversion threshold from $25 million to $1 million, BlackRock essentially opened a secret line for heavy pieces to maneuver in the midgame.
Recently, the capital flow into the US spot Bitcoin ETF has gradually cooled, and the surface of the chessboard has entered a stalemate. Both sides’ heavy pieces have retreated into their own camps, unwilling to make the first move. Lowering the threshold at this moment is like suddenly opening a flank channel in the midgame—not to let anyone immediately cross the river, but to make every major piece start recalculating: what shape will the game take if I move to the other side? The real killing move is never the move itself, but the invisible threat lines that emerge after the move.
Here, no pieces are sacrificed, only barriers are abandoned. BlackRock proactively dismantled the 25 million high wall, sacrificing only the superficial "threshold dignity," in exchange for the freedom of large institutions to quickly rebalance between spot and ETF. The previous high threshold forced them to either go all in or not move at all. Now that the wall has dropped to 1 million, those positions that were previously forced into a stalemate due to high costs suddenly gain freedom. The terrifying part of this move is that the opponent cannot tell when you will use this channel. If you stay put, they must defend as if you have already left the back rank; if you suddenly redeploy, they must calculate as if you are still lurking. This is the "potential exchange" in chess—it changes the evaluation function of the entire subsequent position.
At the moment BlackRock decided to lower the price, the initiative quietly shifted. Because in a game of strategy, whoever can better bear the cost of exchanging pieces holds the initiative for a draw. The previous 20 million threshold only allowed forced exchanges between heavy pieces; now 1 million lets medium and light pieces participate in strategic harassment. This turns the original close combat into a multi-threaded, omnipresent exchange threat. True masters see not just the IBIT point, but all the open lines on the spot and derivatives chessboard that need reevaluation.
The core issue has never been the threshold itself, but whether the new liquidity can awaken those institutions sleeping on the edge of the board. Like a knight tied down too long in the endgame, once its reins are loosened, it won’t charge immediately, but as long as it still has the possibility to move, the entire threat network of the game will be rewritten. The pawn dropped twenty moves ago now reveals its true intention. The seemingly quiet Token targets in the US stock camp are the same; their linkage is not in the present, but in the subtle marks left after large funds quietly cross the threshold and the index closes.
BlackRock did not deliver a check. It merely quietly extended the movement radius of all pieces on the board to the future endgame. Which side sees this secret line first depends on who has already calculated the sands of time twenty moves ahead before making their move. #ibitcutsbtcthresholdOil Prices · Another Geopolitical Disruption
Brent crude has risen back above $83, due to an attack by Iran-linked Houthi forces in Yemen on Saudi Arabia.
I followed this trend back in July: Brent once went over 100, then fell back to around 75 due to progress in the Hormuz negotiations. Now it’s back up again. #本周三CPI公布，9月加息定价会改写吗？
Why this is especially important for tomorrow’s CPI: the transmission of oil prices to CPI has a lag. The high oil prices from July may not be fully reflected in tomorrow’s data, while the new rise in August will show up in next month’s data.
In other words, even if tomorrow’s CPI cools down, the upward pressure on inflation hasn’t been lifted.
Tomorrow there’s also the OPEC monthly report; production and demand forecasts will directly affect oil price expectations.
Transmission to various assets:
Oil price rise → inflation expectations rise → rate hike discussions return → risk assets under pressure, dollar strengthens
Oil price rise → energy stocks benefit, but airlines, transportation, and consumer sectors are pressured
Crypto, as a high-beta liquidity asset, is at the end of this chain and bears the secondary transmission.
Tomorrow we need to watch both CPI and the OPEC monthly report. If CPI cools but oil prices keep rising, that’s a "this time it’s cool, next time maybe not" scenario, so it’s not advisable to chase highs $NVDA pulled back intraday from the high to the 20-day moving average support at $207.77, with the core conflict centered on event risks before the CPI release causing short-term funds to reduce positions defensively in advance.
The chart facts show the daily line still holding above $207.77, the weekly structure remains intact, but the RSI dropping to 38 reflects that short-term chasing funds are accelerating the shakeout and unloading.
In terms of driving factors, the CPI inflation data ranks first in transmitting expectations of Fed rate cuts and risk appetite, while the August 26 earnings factor temporarily takes a secondary position.
The VIX remains at 15.28, indicating that the macro level has not entered a full risk-off state; the current pressure on the market is mainly due to position clearing ahead of the binary events.
The bullish scenario depends on the CPI data being stable or below expectations; if the price confirms in the $216.5 to $218 range, the upward target is seen at $225, with a stop loss set at $212.8.
The bearish scenario is triggered by CPI exceeding expectations and rising, with inflation stickiness suppressing rate cut expectations, severely damaging risk appetite. Once the price breaks below the 20-day moving average support at $207.77 with volume, the overall short-term defensive structure will be broken.
The invalidation condition is if the price breaks below $212.8 before the CPI data release, or breaks below $207.77 with volume after the data release and fails to quickly recover.
The most important variables to watch in the next 24 hours are the direction of VIX volatility after the CPI data release and the turnover situation at the $207.77 support level at the moment the data lands.
#财报观察员：AI基建财报接力登场 #霍尔木兹海峡通航协议未落地，油价风险升温The same script, once again?
Netflix consolidated for 40 months back then, $ETH has been consolidating for 38 months already.
Netflix stayed flat for a full 5 years, then skyrocketed 8 times. ETH has been flat on the monthly chart for 38 months since the end of 2022, the pattern is almost identical. The same script, the same vibe.
Supply side is tightening crazily.
ETH on exchanges dropped from 16.86 million in January to 15.12 million, down 1.74 million, a 10% decrease. The staking rate has exceeded 34.4%, with over 41.7 million ETH locked. Validator exit queue is almost zero — those locked in have no intention to come out.
Demand side is even stronger.
ETH spot ETFs have had a net inflow of $482 million in the past four weeks, with $245 million just last week. BlackRock's ETHA alone took in $203 million. The cumulative net inflow has surpassed $11.46 billion.
Whales haven't been idle either — in the past month, a certain whale accumulated 121,000 ETH, worth about $227 million, most of which has been staked. Another whale spent $170 million within a week to buy 90,000 ETH, then bought another 50,000 ETH in nearly two hours and staked them.
Even more intense is the stablecoin migration.
In the past two weeks, USDT reserves on Tron have halved from $1.4 billion to $709 million, while USDT net inflow on Ethereum surged 210%, and USDC inflow increased by 114%. Money is moving from Tron to the Ethereum ecosystem.
To put it simply, Netflix also stayed flat until everyone lost faith, then took off.
ETH is now at $1900, still far from last year's high of over $4900, but chips are quietly concentrating, supply is quietly tightening. The 38-month consolidation won't last forever.
In terms of strategy, I'm bullish. Build positions in batches below $1900, target first $2500-$3000, and after breaking through, $5000+.$BTC 💡 Idea of the Day Fear & Greed at 29 shows deep **fear**, and the 24h liquidation tally of `$64.5M` is 100% longs — textbook **massive long liquidation** and retail capitulation. Zero shorts means no squeeze pressure, leaving downside momentum intact for now. A similar setup on July 28 flushed leverage before a local bottom, suggesting forced selling often exhausts itself quickly. For traders, waiting for stabilization after this flush — rather than chasing the drop — offers a better riA data point · Over 1 billion non-voting transactions on Solana last week
This stands out as particularly unusual in a weak market and is worth noting.
Solana processed over 1 billion non-voting transactions last week, setting a record — and this happened amid weak coin prices and uncertain market sentiment.
The term "non-voting transactions" is crucial here because it excludes technical transactions generated by validator consensus, reflecting real on-chain activity.
This is the same divergence I've been tracking: $SOL's price has weakened for several consecutive weeks, but on-chain data has been growing — weekly DEX volume once exceeded the combined total of Coinbase and Kraken, tokenized stock monthly volume hit a record 3.47 billion in June, and RWA active addresses outnumber Ethereum's by nearly 90,000.
The volume-price divergence has lasted more than six weeks.
Two possible explanations, and it's still unclear which is correct:
1. On-chain activity does not equal value capture — many transactions but low fees, or fees not flowing back to token holders.
2. Price lags behind fundamentals — fundamentals move first, price follows.
A side comparison: Dogecoin's weekly active addresses rose 16%, from about 38,000 to over 44,000. Chains with rising active addresses in this market deserve special note.
The volume-price divergence will eventually converge, either volume drops or price catches up. The key to judging direction is to ask: do these transactions generate fees, and do the fees return to the token? If you can't answer this, don't use on-chain data as a buying reason #CLARITY表决推迟至9月，监管窗口后移 #现货ETF资金分化，BTC卖压仍在 #本周三CPI公布，9月加息定价会改写吗？ Everyone is celebrating 42 million ETH being staked. I’m not convinced that’s bullish. 👀
More than 42 million ETH is now staked, roughly 35% of the total supply.
The easy narrative is obvious:
less ETH circulating → more ETH locked → less sell pressure → higher price.
I understand that argument. On the surface, it makes sense.
But the more I look at what’s happening with Ethereum this year, the more I think the real story is much more complicated.
On August 4, Justin Drake and five other Ethereum Foundation researchers submitted EIP-8361, proposing a mechanism called “Tapered Issuance Burn.”
The basic idea is simple but potentially huge:
As the staking ratio increases, more validator rewards are burned. If staking reaches 50% of total ETH supply—around 60.25 million ETH—new consensus-layer issuance could eventually fall to zero.
At first glance, this is meant to address a legitimate problem: too much staking could increase centralization risk.
And that risk isn't imaginary.
With roughly 35% of ETH already staked, and Lido representing a significant share of validators, Ethereum has to think seriously about how concentrated staking becomes.
But here's the part that caught my attention:
Who actually gets hurt if this proposal becomes reality?
The people staking ETH today.
Right now, staking offers roughly a 3.5–4% annualized yield. But if the staking ratio keeps rising and EIP-8361 is implemented, those rewards could gradually be diluted until they eventually reach zero at the 50% threshold.
So ironically, the more people stake, the closer they push themselves toward a world where staking becomes less rewarding.
It reminds me of everyone rushing to fill a swimming pool without realizing the drain underneath is getting bigger. 😅
And then there’s DeFi.
ETH staking yield has effectively become an important base-rate reference across the Ethereum ecosystem. Lending markets and liquid-staking products have built part of their economics around it.
#DailyOrbit