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Let's take a look at ETF capital flows, because prices can be deceptive, but real money isn't.
Actually, funds have been continuously flowing into BTC and ETH, so who is selling during these recent days of decline? I guess it's very likely deleveraging!
On the first trading day after the big weekend surge, BTC ETFs saw inflows of about $314 million, and ETH had $180 million. Especially for ETH, the inflow scale is about 57% of BTC's, which is significantly higher than their market cap ratio, indicating that institutional allocation to ETH is clearly increasing.
Therefore, I believe the bottom support for this market cycle is stronger than before, and the probability of BTC falling back to around 67,000 is now low.
More importantly, with the advancement of the "Clear Act," US financial assets may largely move on-chain and become tokenized in the future. The dollar, US stocks, and US bonds all going on-chain will naturally lead capital to re-recognize blockchain.
This might be the real big logic behind the next bull market. $BTC $ETH NVIDIA earnings fell 3% after hours: full analysis + capital flow + chain transmission
Phenomenon: The earnings report itself met revenue and EPS targets, but the next quarter guidance, Rubin chip mass production pace, and gross margin did not meet the market's most optimistic whispered expectations. After-hours volume increased with a drop of about 3%, a typical buy-the-rumor, sell-the-fact scenario. This is not a fundamental collapse but profit-taking from crowded high-level trading.
I. Four core reasons for the decline
1. Expectation gap (most core)
The earnings report met analysts' consensus expectations but did not shatter the market's most optimistic fantasies. The stock price had already priced in extremely high expectations in advance; the market demands a "beat and beat again" from a 5 trillion market cap giant. Merely being excellent is not enough to drive further gains, triggering profit-taking selling. In the conference call, the market was conservative about Rubin's new generation chip mass production timing and customer order scale, suppressing AI hardware sector valuations.
2. Concerns over gross margin pressure
HBM memory prices continue to rise, raising market worries about cost squeezing profits. Although the current gross margin held at 75%, institutions began to worry about the risk of a gross margin inflection point in subsequent quarters, leading to valuation discounts.
3. Trading aspect: profit-taking on large unrealized gains at high levels + passive option selling
Before earnings, a large amount of capital was positioned long NVIDIA; after earnings, bulls took profits en masse and exited. Meanwhile, after-hours call options expired, and market makers passively sold stock to hedge, further amplifying the decline. NVIDIA has repeatedly shown the historical pattern of "good earnings but post-earnings decline," intensifying capital flight.
4. Downstream capital expenditure concerns
The market worries that cloud providers' AI capital expenditure growth will not rise indefinitely, and upstream chip procurement growth will marginally slow. Although this does not disprove the AI macro logic, it suppresses short-term valuations.
II. Breakdown of capital flow (after hours)
1. First part: internal flight within AI hardware chain (storage chips directly pressured)
Some funds flowing out of NVIDIA simultaneously sold SanDisk, Micron, and SK Hynix. Storage stocks are highly linked to NVIDIA orders and fell in sync after hours. Some of this capital exited the market directly, while some rotated within the sector.
2. Second part: some funds flow to large-cap safe-haven assets
A small amount of capital shifted from high-volatility tech to safe-haven assets like U.S. Treasuries and gold, a short-term risk-off behavior. This is not a large-scale exit from the U.S. stock market but a reduction in high-risk AI hardware positions.
3. Third part: leveraged funds exit (options, futures)
After-hours, option longs closed heavily, futures longs stopped out; this is short-term leveraged capital that will not enter other assets but directly exit the market to observe.
III. Impact on U.S. stock storage sector (SanDisk, Micron, Hynix)
1. Short-term sentiment directly suppressed: market worries that NVIDIA demand may fall short of expectations, transmitting downward to HBM and NAND flash orders, causing storage stocks to fall in sync after hours.
2. Distinction: this is a valuation correction, not a fundamental industry logic breakdown; as long as NVIDIA does not significantly lower medium- to long-term demand, storage is just a sentiment-driven pullback.
3. Market phenomenon: the greater the prior gains, the stronger the pullback.
IV. Transmission to crypto BTC, ETH, and AI-related cryptocurrencies
1. BTC: relatively resilient. Dragged by overall market risk-off sentiment, contract side shows selling pressure, testing key support at 75000. On the spot side, as long as BTC-ETF does not have continuous net outflows and whales do not massively transfer to exchanges, it is just consolidation, not a trend reversal.
2. ETH: higher beta, larger pullback than BTC. DeFi collateral positions face passive selling risk; 2200-2280 is the main spot support zone.
3. AI narrative cryptos (TAO, RNDR, HYPE): hit hardest. No business linkage with NVIDIA, purely driven by AI sentiment; with risk appetite declining, these coins will significantly underperform BTC and ETH, with sharp contract price spikes.
4. Other coins: SOL follows the market with high beta pullback; OKB is almost unaffected; small-cap altcoins have poor liquidity and amplified volatility.
V. Two possible follow-up scenarios
Scenario 1 (high probability): short-term sentiment vented
NVIDIA and storage stocks stabilize with volatility; crypto contracts complete a round of liquidation, BTC retests 73000-75000, ETH retests 2200-2280; if spot volume picks up, the market returns to the original mid-term pattern.
Scenario 2 (low probability, risk escalation)
Market further interprets AI growth as peaking, U.S. AI sector continues to fall sharply; transmission to crypto with ETF continuous net outflows and whales massively transferring to exchanges to sell, evolving into a spot-driven mid-term correction.
Summary in one sentence
NVIDIA's 3% drop is not an earnings bomb but profit-taking at high levels after high expectations fall short. Capital flows out of AI hardware chips and storage; some switches to AI software, some to safe-haven assets; leveraged funds exit directly to observe; the main impact on crypto is contract leverage, spot main players will not massively change positions overnight. Key to watch is BTC 75000 and ETH 2200 spot support strength.
$NVDA $BTC $ETH
#财报观察员：英伟达领衔，AI回报进入验证期 NVIDIA's earnings report on August 27 has a high probability of "digital results exceeding expectations, but guidance suffering a sell-the-news reaction," combined with $BTC's RSI being overbought (82) + momentum fading after a 27% surge, short-term sentiment transmission is bearish, so shorting on the rebound has a higher success rate.
Shorting premise: If NVDA after-hours spikes then falls back (sell-the-news) → risk appetite under pressure → BTC follows down
Bullish signal: Only if NVDA after-hours rises strongly + BTC holds above $80,400–81,200, then switch to a long strategy
Defense level: $77,000–78,000 is the dividing line between bulls and bears; breaking below confirms a bearish structure
Personal opinion, for reference only! Is a big volatility coming? $6.4 billion in options expire on Friday.
$BTC
$BTC has rebounded from the August low to $79,100, and on-chain funds have also started to shift: the relative change in realized market cap has risen to +0.21%, turning positive for the first time since the end of May.
For 6 consecutive days, the apparent demand on the 30th has exceeded the new issuance, indicating that the market has started to absorb chips again.
But turning positive does not mean strength.
Current capital inflows are only at the lowest 3%-4% of historical positive values, and demand intensity ranks low at 10%. Funds have just stopped withdrawing but have not made a large-scale entry.
Notably, Lookonchain posted on X that an $ETH whale transferred all positions held for nearly two years into Binance, accumulating losses exceeding $10 million 🥲.
A full position transfer usually indicates a significant increase in stop-loss or reduction intentions.
Meanwhile, about $6.4 billion worth of $BTC options will expire on Friday.
Such a large scale makes it easy for market makers to concentrate on adjusting hedge positions before expiration, and short-term prices may repeatedly fluctuate around key strike prices.
Related signals indicate that funds are beginning to actively reduce risk.
This rebound currently wins on direction but is weak in strength.
Only if on-chain demand continues to expand and spot trading takes over after options expiration can the market go further.
#BTC breaks through $80,000, can it hold the new threshold After Bitcoin broke through the $80,000 mark, Ethereum also climbed back above $2,500, but after a round of rapid rallying, both brothers showed clear signs of cooling. This pace is actually not surprising; after continuous gains, some early positions choose to cash in, which is a normal market self-adjustment. What really needs to be observed is not how much the price has pulled back, but whether buyers are willing to sustain this selling pressure during the pullback. From a liquidity perspective, the core logic supporting this round of market movement has not loosened. Last week, Bitcoin spot ETFs saw net inflows of about $192 million, and Ethereum spot ETFs recorded net inflows of $697 million—a scale considered solid over the past few weeks. Continued institutional capital inflows often mean pricing power is shifting from short-term sentiment to longer-term value judgments, which is why even with market corrections, the overall bullish structure remains intact. The most critical position right now is actually very clear. Bitcoin needs to hold the $79,000 to $80,000 range. Once this area remains stable after repeated tests, a pullback will be more like a build-up rather than a trend reversal. Ethereum needs to fully convert $2,500 from resistance to support. Once this swap is complete, the upside potential will be reopened. Simply put, price fluctuations near key levels are often not a bad thing; rather, it's a process of market consensus reaffirmation. Of course, we also need to stay clear-headed. ETF inflows#BTC突破80000美元，能否站稳新关口
Many people misunderstand the mining cost of Bitcoin, thinking that the mining cost represents the bottom price of Bitcoin, and that the price will definitely rebound once it falls to the mining cost. In fact, this logic no longer holds. Miners' holdings and operations do affect the market, but mining cost is only a reference, not an absolute bottom support.
Currently, the overall network mining cost of Bitcoin is around $70,000. Different mining companies have varying costs; large mining companies have lower costs due to advantages in electricity fees and computing power, while small miners have higher costs. When the price is above the mining cost, miners have stable profits, and some miners choose to sell Bitcoin to realize profits, creating selling pressure on the market; when the price approaches the mining cost, miners tend to hold back sales, reducing selling and forming some support.
However, we must understand that miners' selling pressure is not the core factor determining the market trend. Macroeconomic liquidity, institutional funds, and market sentiment have a much greater impact on price than miners. When Bitcoin dropped to $60,000 in this cycle, which was already below the cost of most mining companies, miners did reduce selling, but the price did not immediately rebound; instead, it continued to consolidate at the bottom, indicating that mining cost is only an auxiliary support, not a reversal signal.
Another key point is that miners' holdings are dynamic. Many mining companies accumulate Bitcoin at low prices and sell at high prices to balance profits. Now that the price is around $80,000, above the mining cost, miners as a whole are profitable. Some short-term miners sell to take profits, which is normal market behavior and does not change the overall market trend.
Many retail investors treat mining cost as a basis for bottom-fishing, thinking they can blindly buy at $70,000. As a result, when the market breaks support, they get trapped after bottom-fishing. We cannot rely solely on mining cost to judge the bottom; we must also consider market structure, capital flow, and macro environment comprehensively.
For ordinary investors, do not blindly trust the mining cost indicator; it can only be used as a reference. Long-term positioning can be done gradually at low levels, not all at once; short-term trading should strictly follow technical market operations and not rely on a single indicator to bet on price movements. The core of trading is comprehensive judgment, not relying on a fixed support level.$OPENAI's self-developed inference chip Jalapeño's real-world test data has entered the market spotlight, causing cracks in the originally solid pricing system of the AI hardware sector.
The measured word output speed reaches 1459 Tokens per second, power consumption is kept under 550 watts, and the cost per hour drops to $1.56, directly widening the hardware efficiency gap on the inference side.
The design cycle has been compressed to 9 months with algorithmic assistance, and the cliff-like drop in underlying computing costs is rapidly transmitting along the industry chain, prompting bullish capital to reassess premium allocation.
Inference service costs are approaching less than one cent per thousand Tokens, significantly reducing inflationary pressure on the application side. Purely narrative compute positions lacking real revenue generation are facing valuation corrections.
When low-cost inference hardware is deployed on schedule by the end of 2026, the cash flow model of the end-user application ecosystem will be fully activated, and the compute sector will see valuation strength driven by real consumption.
If mass production yield or subsequent iterations are hindered, the rigid dependence of training on external advanced compute cannot be alleviated, causing risk appetite initially sparked by cost reduction expectations to quickly retreat.
If the throughput advantage of dedicated inference architectures is completely offset by upstream general-purpose compute iterations in actual tests, the current repricing logic will be directly falsified.
The most important variable to watch in the coming week is whether mainstream compute foundry chains and related compute assets show defensive position migration.
#BTC突破80000美元，能否站稳新关口 #财报观察员：英伟达领衔，AI回报进入验证期 The massive $3B short squeeze was a harsh reminder of how ruthless leverage can be—92% of all liquidations hit bears in just 24 hours, with Bitcoin wiping out the vast majority. While reclaiming the Short-Term Holder cost basis confirms macro strength, chasing green candles near $78.5K–$81K resistance after one of the biggest liquidation events in history is pure FOMO. Smart capital isn't buying into over-extended momentum; it's waiting for leverage to cool down and bidding clean pullback retest英伟达财报前，美股表现整体不错，主要受益于本周美伊局势缓和与能源价格下跌带来的通胀压力放缓，今晚的PCE算是不好不坏，让美股暂时保持谨慎乐观 稍后的英伟达财报除了关注财报内容之外，还是要看一下宏观各个因素对财报公布后股价波动的影响 目前市场对于英伟达财报的定价波幅是多少？ 华尔街分析英伟达财报公布后股价波动幅度为±6%左右，略低于过去12个季度财报平均7.4%的波幅，这意味着市场对于英伟达财报波动逐渐掌握规律，这既是好事，也是一个潜在风险 其中上行波幅约5%-7%，下行波幅则为-8%—— -10%，意味着市场预期英伟达财报还有尾部风险，而这个尾部风险主要是来自财报不利引起的美股连锁抛售 PEC数据对于英伟达的影响有多大？ 简单来看，属于轻微利空，货币政策上，目前的PCE数据让沃什跟有理由保持高利率，但是收入增长意味着目前的消费走弱不是衰退预期，避免让市场陷入经济恐慌，所以利空因素减弱 原油价格对于英伟达财报的印象？#Anthropic估算30万亿美元市场，IPO叙事能否兑现？ 本周美伊局势的缓和带动能源价格下跌，国际原油从93附近跌至85美元附近，整体减缓了未来通胀预期压力，算是对冲[Jiang Zhuoer: The probability of Bitcoin falling back below $67,000 is very low, ETH remains the "engine" of this bull market]
On August 26, Jiang Zhuoer, founder of the B.TOP mining pool, posted that on the first U.S. stock trading day after the weekend surge, ETF fund flows became a key observation indicator. Data shows a net inflow of $314 million into Bitcoin ETFs and a net inflow of $180 million into Ethereum ETFs.
U.S. stock funds are chasing the rally, which means this round of gains is further confirmed by capital, and the probability of Bitcoin falling back below the $67,000 starting point is very low. Meanwhile, Ethereum ETF inflows amount to 57.2% of Bitcoin's, significantly higher than ETH/BTC's total market cap ratio of 18.8%. Based on this, he believes ETH will continue to act as the "engine" of this bull market.
With Trump significantly embracing blockchain and the advancement of the CLARITY Act, financial assets such as the dollar, U.S. stocks, and U.S. bonds may further move on-chain, become tokenized, and smart contract-enabled in the future. He believes this will drive more traditional financial professionals to understand and invest in the related blockchain ecosystem $BTC $ETH 经历最近一波快速上涨后，Bitcoin 并没有继续直线冲高，而是在 $78K–$81K 区间附近震荡。与此同时，$ETH 依然表现出不错的韧性，市场交易量也开始逐渐降温。 但对我来说，成交量下降并不等于行情转空。 $BTC 此前短短 7 天上涨约 23%，目前回落至约 $79K 附近进行整理，而美国现货 Bitcoin ETF 近期仍保持强劲资金流入，8 月累计净流入已超过 $3B。这说明价格暂时放缓，但机构需求仍然值得关注。 🟠 $BTC：$82K 仍然是重要挑战 Bitcoin 已经证明，高位附近依然存在买盘。 现在市场真正的问题不是： “BTC 明天会不会立刻突破？” 而是： “BTC 能不能在 $78K–$80K 附近建立新的支撑结构？” 如果价格能够稳定整理，并重新突破 $82K，那么下一轮上涨空间可能重新打开。 但我并不认为市场需要急着突破。 有时候，最健康的走势就是横盘。 📊 价格保持稳定 📉 杠杆逐渐降温 🐳 弱势资金被清理 💰 新资金慢慢进入 这比连续疯狂拉升更有利于长期趋势。 🔵 $ETH：相对强势依然值得关注 Ethereum 近期同样没有完全回吐涨幅#OpenAI自研芯片亮相，推理成本成关键
🔥$OPENAI has delivered the first real-world performance report of its self-developed inference chip Jalapeño. Ultraman summed it up in one sentence: "We made a chip, and it's very fast."
How fast? Single-user token output speed is 1459 Tokens per second, while Nvidia GB200 only reaches 535. The rated power consumption is 700 watts versus 1400 watts, with actual tests keeping it under 550 watts. Peak performance per watt is 1.5 to 1.9 times that of the reference system.
The cost is even more impressive—SemiAnalysis estimates the total cost of ownership per chip per hour at $1.56, nearly equal to H100's $1.55, while Nvidia Vera Rubin is $3.61.
Industry chip tape-out usually takes 18 to 36 months; OpenAI only took 9 months. The secret is bringing GPT-Astra and Codex into the tape-out room, with AI-assisted design reducing chip area by 8% to 10%, and AI-generated code running 1.5 to 1.8 times faster than human experts. AI designs chips, chips run AI—the flywheel is already spinning.
But it’s not a Nvidia killer—focused on inference, training still requires a large number of Nvidia chips. The second generation is already in development, with deployment in its own data centers planned by the end of 2026.
When inference costs drop to "less than one cent per thousand tokens," the commercial boundaries of AI applications will be greatly expanded. Projects relying on "AI narratives" to support valuations may need to rethink their valuation logic.👇$XRP just hit a wall. 👀
After that 55%+ run from the August lows, $XRP pushed into $1.55 and is now cooling off.
For me, the levels are simple:
🔹 $1.55 breakout + hold → $1.58–$1.62 next
🔹 Lose $1.434 → $1.40 becomes the next area to watch
I am not chasing the pump here. I want confirmation before taking a position.
Let $XRP show its hand first. 📊
#PCEToJacksonHole #OKXOutcomeLeaguePicks #ETHTests2500 #BTC突破80000美元，能否站稳新关口
Recently, there have been very interesting changes in the fund flows of Bitcoin ETFs. Short-term funds are constantly moving in and out, while long-term funds are steadily increasing their holdings. This change in the fund structure directly determines the upcoming market trend. Many people only look at the total net inflow of ETFs but overlook the nature of the funds, naturally leading to poor market judgments.
The US spot Bitcoin ETF has recently shown an overall net inflow, with institutional funds beginning to return to the crypto market. However, a closer breakdown reveals that most of the inflows are short-term trading funds, which enter and exit quickly—buying when prices rise and selling when prices fall—easily intensifying market volatility. The truly long-term strategic funds have relatively limited inflows, which is also why prices struggle to sustain a breakout.
The flow of ETF funds is the most direct window to observe institutional sentiment. If ETFs can continue to see large net inflows, with incremental off-exchange funds entering, Bitcoin has a chance to break through the strong resistance at 83000 and start a new round of rally; if ETF funds begin to flow out and buying power weakens, the market will enter a period of consolidation and correction.
Corresponding to ETFs are the existing funds on exchanges. Recently, the Bitcoin balance on exchanges has been continuously decreasing, indicating that many investors are withdrawing coins from exchanges for long-term holding. The market’s holding sentiment leans toward the long term, and short-term selling pressure will reduce. However, the decline in exchange balances also means reduced on-exchange liquidity, causing market volatility to become more intense and flash crashes to occur more frequently.
Another detail is that futures contract open interest continues to rise, with market leverage sentiment heating up and the long-short battle becoming more intense. The accumulation of high leverage is the biggest hidden risk in the market; once a significant correction occurs, cascading liquidations will exacerbate the decline.
Ordinary investors can use ETF fund flows as an important reference indicator and should not blindly follow market sentiment. When institutional funds steadily enter, we can buy on dips; when institutional funds flow out, we should cautiously reduce positions. Following the rhythm of large funds is much more reliable than making subjective predictions about price movements. The trend of $ETH/$BTC has recently become increasingly worth closely observing. In recent months, Ethereum's performance relative to Bitcoin has been less than ideal, with several seemingly breakout rallies that ultimately failed. So this time, I still won't announce a trend reversal just because of a single bullish candlestick. But now, the structure has indeed begun to show some noteworthy changes. 🔵 What really matters is not how much ETH rises, but whether it can consistently outperform BTC. ETH doesn't need a sudden surge against the dollar to prove the market is changing. A more important question is: Can ETH continue to rise faster than BTC? This is a completely different signal. Even if BTC continues to hold above $80,000 and continues to receive institutional funding, it may still outperform ETH in relative performance. Recently, Bitcoin briefly broke through $80,000, while market funds have also begun to focus on the "catch-up" and rotation opportunities of large crypto assets like ETH. If ETH/BTC continues to rise, it does not mean funds are leaving BTC. More likely to mean: while continuing to hold Bitcoin, the market is beginning to take on higher risks. 🟣 --- Why is ETH/BTC so important? ETH/BTC is one of the key indicators for observing market risk appetite. Usually, when BTC rises first and ETH/BTC starts to strengthen steadily, it may indicate that funds are moving from the strongest and most mature🚨 今晚的7月PCE数据或许只是催化剂，市场真正关注的是：它会不会改变美联储9月的政策预期？ 最新数据显示，美国7月PCE同比升至约 3.7%，核心PCE维持在约 3.3%，通胀依然明显高于美联储2%的目标。这也让市场重新提高了对进一步收紧政策的警惕。 对于 $BTC 和 $ETH 来说，我更关注的不是数据本身，而是数据公布后美元、美债收益率以及市场对美联储利率路径的重新定价。 我会这样看： 1️⃣ PCE基本符合预期 📊 市场可能不会立即选择方向。BTC和ETH或继续震荡，因为交易员可能把重点转向本周五美联储主席在Jackson Hole的讲话，寻找更明确的政策信号。 2️⃣ PCE高于预期 🔥 如果通胀再次显示出明显升温，市场可能进一步押注高利率维持更久，甚至提高9月加息的预期。美元和收益率走强可能给BTC和ETH带来短线压力。 3️⃣ PCE低于预期 🟢 如果通胀明显降温，风险资产可能获得喘息空间。BTC和ETH可能迎来新的买盘，但关键仍然是市场是否相信美联储会因此改变未来政策路径。 📌 现在最大的变量已经不只是PCE。 本周市场同时面对通胀数据、GDP数据以及JackUS PCE data is out and the overall reading came in stronger than expected.
Core PCE stayed flat while personal spending and durable goods orders beat forecasts.
The US economy remains resilient, but inflation isn’t cooling fast enough weakening hopes for rapid rate cuts.
For gold this is short-term bearish favoring choppy pressure.
For $BTC and $ETH there’s no major bullish catalyst. Delayed rate cut expectations could keep the market volatile and range bound
#PCEToJacksonHole I will view BTC through 5 layers of capital: fiat money → stablecoin → ETF/institutions → trap-winning capital → on-chain capital. 1. Currently, the BTC picture is in the range of $79K–$80K, with a very strong acceleration phase. In the most recent week, inflows into the US spot Bitcoin ETFs have surged; just last week, about $1.92 billion flowed in, the highest level in 2026 according to recently updated market sources. More notably, the capital driving this increase is not only coming from spot BTC buyers. CurrenETH/BTC has finally reached a point worth focusing on again. In recent months, Ethereum has repeatedly tried to break upward, but ultimately either surged and pulled back, or returned to a consolidation range, so it's entirely understandable that the market remains cautious. But this time, the market environment seems to be changing. 👀 The latest capital data shows that last week, US spot BTC and ETH ETFs attracted about $2.6 billion in net inflows, with ETH ETFs accounting for about $697 million, as institutional funds returned to the crypto market. Previously, ETH ETFs also recorded about $189 million in inflows in a single day, marking a strong performance in nearly 10 months. 🔵 The key is not that BTC must fall for ETH to rise. BTC can fully maintain its strength, for example, stabilizing in the $78K–$82K range, while ETH has risen faster than BTC. The real scenario to watch might be: BTC maintaining its uptrend + ETH accelerating its rise + ETH/BTC ratio breaking out. This is not a capital flight from Bitcoin, but more likely indicates that liquidity across the entire crypto market is expanding. 🔥 I will focus on three confirmation signals: 1️⃣ ETH/BTC breaks key resistance Focus on the 0.030–0.032 area. If a breakout is effective, the market structure could change significantly. 2️⃣ After a breakout, the breakout can holdBTC 64000→81500 Rapid Surge and Pullback Full Analysis + ETH Capital Flow Summary
BTC surged from 64000 to a peak of 81500 within a week, with a maximum weekly increase close to 27%, followed by a high-level pullback. The underlying market foundation is ETF spot capital support, while the huge gains in the latter half were driven by short squeeze (contract liquidations); the price hit a new high, but spot volume did not increase correspondingly, causing a volume-price divergence, thus triggering profit-taking pullback at the peak.
I. Four Drivers Behind BTC's 64000‑81500 Surge
1. Spot Foundation: Concentrated Inflow of US BTC-ETF
Around 64000, BTC spot ETFs saw explosive inflows, with a net weekly inflow of about $1.9 billion, the strongest week since October 2025. BlackRock IBIT was the main buying force, forming the spot base for this rebound. Enterprises like MicroStrategy continued to accumulate at low levels. On-chain long-term whales kept withdrawing coins from exchanges and locking them between 63000‑66000, locking low-level chips and reducing circulating supply, enabling large price moves without massive capital.
2. External Catalysts: Improved Macro and Regulatory Expectations
The US Treasury expanded long-term bond repurchases, US bond yields declined, and the dollar weakened; market expectations for the US crypto bill boosted risk appetite overall, with traditional institutions increasing crypto asset allocations again.
3. Core Violent Driver: Large-Scale Short Squeeze (Contract Liquidations)
Above 64000, a large number of short positions accumulated; after the price broke through, shorts were forced to buy back at market price to close positions, creating positive feedback. Within days, BTC short liquidations reached nearly $2.7 billion, the main force pushing the price from 72000 to 81500, not new spot buy orders.
4. Options Gamma Hedging: Price breakout forced market makers to passively buy spot, further pushing the surge.
II. Why the Quick Pullback After Surging to 81500
1. The 80000‑81500 range is a strong historical resistance zone with many trapped positions; at the high, swing whales started transferring BTC from cold wallets to exchanges to take profits, causing heavy spot selling pressure.
2. Spot main force behavior changed: ETF institutions, MSTR, etc., refused to aggressively chase above 80k, inflows slowed significantly; institutions preferred to wait for a pullback before scaling in, causing spot buying at highs to dry up.
3. Derivatives structure reversed: short squeeze ended with no new shorts to liquidate; many new long contracts opened at highs, funding rates remained overheated. Once buying weakens, longs start cascading liquidations, amplifying the decline.
4. Market divergence increased: some capital viewed this as a rebound, not a new bull market, choosing to take profits at highs.
III. Current Status of Four Types of BTC Spot Main Forces
1. BTC Spot ETF Institutions: Large buys at lows; inflows near 80k slowed significantly, no large-scale net outflows but stopped chasing highs; psychological support zone at 73000‑75000, waiting for pullback to re-enter.
2. Enterprise Institutions like MSTR: Continued accumulation near 64000; paused large buys above 80k, waiting for lower levels.
3. On-chain Whales (divergent): Long-term whales still locking coins, no large sell-offs; swing whales transferred chips to exchanges between 78000‑81500 to take profits, main source of spot selling pressure at highs.
4. Spot Quantitative/Market Making Funds: Large sell orders above 80k; buy orders at 73000‑75000 for range arbitrage, no one-sided trend trading.
Summary of BTC Spot Main Forces: No collective exit, but insufficient willingness to chase highs; the latter half of this surge mainly driven by short liquidations, insufficient spot inflows, causing sharp pullback at highs. 73000‑75000 is the key spot support zone.
IV. Complete ETH Capital Flow Report (Four Main Entities)
1. ETH Spot ETF (Institutional Funds)
• Surge phase (1850‑2300): Net weekly inflow close to $700 million, highest in nearly 10 months, BlackRock ETHA as core buying product.
• Near 2450‑2550 highs: Inflows slowed sharply, institutions refused to add at highs.
• Pullback phase: No continuous large net outflows, only weakened buying.
2. On-chain Whale Holders (Clearly Divided)
• Long-term whales: Continued withdrawing and locking coins from exchanges between 1850‑2100, held through pullback, no concentrated selling.
• Swing whales: Transferred large amounts of ETH to exchanges between 2400‑2550 to take profits, source of spot selling pressure at highs.
3. DeFi Funds (Amplify Moves, Not Trend Drivers)
During rise: Users collateralized ETH with leverage, boosting the market;
During pullback: Some collateral positions near liquidation, forced ETH sales to repay debts, further amplifying selling pressure.
4. Contract & Options Leveraged Funds
In the latter surge phase, short stop-losses plus Gamma passive buying violently pushed price to 2550; after the peak, concentrated long liquidations amplified the retracement. Leverage changes volatility amplitude but not mid-term price levels.
ETH Spot Main Support Zones: 2200‑2280; 2480‑2550 is a strong resistance zone with thin spot buying.
V. BTC and ETH Horizontal Comparison
1. BTC: Larger ETF scale, solid spot base; main support at 73000‑75000; late-stage rise driven by short squeezes.
2. ETH: Smaller ETF scale, less circulating spot, higher leverage dependence; support at 2200‑2280; under similar conditions, ETH’s price swings are larger than BTC’s.
Summary in One Sentence
BTC surged from 64000 to 81500, driven by ETF spot foundation plus derivatives short squeeze; after new highs, spot buying dried up, swing funds took profits causing pullback; spot main forces did not flee but refused to chase highs, waiting to support at 73000‑75000. ETH is similar, with ETF inflows at lows and slowed inflows at highs, support window at 2200‑2280; spot base weaker than BTC, with greater volatility.
$BTC $ETH $OKB
#BTC突破80000美元，能否站稳新关口 ETH 1850→2550 Rapid Surge and Pullback Full Analysis + Capital Flow Breakdown
Within one week, ETH rose from 1850 to 2550, with a maximum weekly increase close to 37%, followed by a rapid high-level pullback. This wave was driven by spot institutional funds laying the foundation and derivatives leverage violently pushing up; in the latter half of the rise, spot incremental volume couldn't keep up with the price, so a large amount of profit-taking and correction occurred at the high point.
I. Four Layers Driving This Rapid Surge
1. Foundation: ETH-ETF Institutional Fund Inflow (Spot Base Momentum)
Previously, ETH consolidated at a low level around 1850, with continuous net inflows into ETH spot ETFs, totaling over $510 million in a single week, and a single-day peak of $220 million, hitting a nearly 10-month high. Products like BlackRock are the main buyers, with institutions increasing ETH allocations, forming the spot base at 1850. However, the total scale of ETH ETFs is much smaller than BTC, so the buying depth is thinner.
2. On-Chain Chips: Circulating Supply Compressed by Staking
About 33-34% of ETH is locked in staking, exchange spot inventories are low, and circulating spot chips in the market are limited; thus, it doesn't require massive funds to leverage a relatively large price increase. Long-term whales withdraw large amounts from exchanges to cold wallets for hoarding, locking low-level chips and limiting selling pressure.
3. Mid-Term Narrative Catalyst: RWA + AI On-Chain Narrative Heating Up
Market expectations for tokenization of US Treasuries and AI agents landing on Ethereum Layer 2 networks have warmed risk appetite, causing funds to overflow from BTC to high-beta ETH.
4. Most Important Booster: Contract + Options Gamma Hedging (Short-Term Violent Driver)
After breaking key resistance, many shorts stopped out and closed positions; options market makers passively bought spot for Gamma hedging, further pushing the market up. In the latter half, prices surged from 2450 to 2550, contract volume exploded, but spot volume did not simultaneously hit new highs, showing a clear volume-price divergence. This means a large part of the surge to 2550 came from passive derivatives pushing, not continuous new spot buy orders.
II. Why the Rapid Pullback After Reaching 2550
1. 2550 is a historically strong resistance zone with a large accumulation of trapped positions; upon reaching this price, swing whales and short-term ETF swing funds began taking profits, with whales transferring ETH from cold wallets to exchanges to sell and realize gains.
2. On the derivatives side: at high prices, many call options were exercised, and Gamma hedging shifted from buying to selling; a large number of long contracts opened at high levels, funding rates remained high, the market overheated severely, and any slight disturbance triggered cascading long liquidations, amplifying the decline.
3. Spot main force behavior changed: institutional ETFs stopped aggressively chasing highs, inflow slowed significantly, refusing to continuously sweep above 2500; they only accepted at lower ranges, with a lack of spot buy support at highs.
4. DeFi linkage pullback: a large amount of ETH is used as DeFi collateral; price drops triggered partial collateral liquidations, selling spot to repay debts, further increasing selling pressure during the pullback.
III. Complete Capital Flow Breakdown (Four Main Entities)
1. US ETH Spot ETFs (Institutional Spot)
• Surge phase (1850-2300): continuous net inflows, forming the spot base for this rally;
• Near 2450-2550 highs: inflows slowed sharply, no longer chasing highs;
• Pullback phase: no large-scale continuous net outflows, only weakened buying strength.
2. On-chain whales, showing clear split
• Long-term whales: continuously withdrawing from exchanges and hoarding at low levels (1850-2100), continuing to lock positions during pullback, no large-scale selling;
• Swing whales: at highs (2400-2550), transferring chips to exchanges for profit-taking, main source of spot selling pressure at highs.
3. DeFi funds
• Rising: leveraging ETH collateral to amplify positions, pushing the market up;
• Peak and fall: some positions triggered liquidation, passively selling ETH, exacerbating the pullback.
4. Contract and options funds (leveraged funds)
• Latter half of surge: short stop-loss + passive Gamma buying violently pushed price to 2550;
• After peak: concentrated long liquidations, contract volume dumping.
IV. Key Psychological Price Levels for Spot Main Forces
1. Willing to actively support range: $2200-2280, dense cost zone after this rally started; if price falls to this range, ETFs and long-term whales are motivated to re-enter and accumulate.
2. Refuse to chase high range: $2480-2550, spot buy orders are thin, with large profit-taking pressure appearing at this level.
V. Comparison with BTC Spot Main Force Behavior
BTC: High-level ETF inflows only slowed, on-chain long-term whales locked positions, supporting at 73000-75000.
ETH: Spot base thickness is weaker than BTC; under similar market conditions, ETH rose more but also corrected more deeply; ETF fund size and circulating spot supply are weaker than BTC, with higher reliance on derivatives leverage.
Summary in One Sentence
ETH's rise from 1850 to 2550 was driven by ETF spot laying the foundation plus leveraged derivatives violently pushing up; upon reaching the 2550 high, spot incremental volume couldn't keep up with price, swing funds concentrated profit-taking, triggering a pullback. Spot institutions did not flee but refused to chase above 2500, with the support window at 2200-2280; ETH's spot base is weaker than BTC's, so volatility is significantly greater. Altcoin trading volume share soars to 65% — $135 billion flows from BTC to altcoins
When $BTC rises, it's criticized for being slow; when BTC falls, it's the only one that can hold — this is the eternal dilemma for retail investors.
Today, a set of data is worth a close look: altcoin trading volume share has surged to 65%, hitting a two-year high.
CryptoQuant reports that about $135 billion has flowed out of Bitcoin's rally into altcoins.
On the surface, this signals the "altcoin season is here." But from another perspective — who is selling BTC to buy altcoins? Retail investors. Who is taking BTC? Institutions.
BTC market dominance remains above 59%, with institutional funds continuously flowing in through ETFs, while retail investors chase altcoin rallies. This structure usually has only one outcome in past cycles.
$ZEC has dropped from a high of 889 to around 770, a pullback of over 13% from its peak.
$HYPE fell from 83 to below 78; the AQAv2 buyback boost couldn't support the price. XRP rose 46% over seven days but has since pulled back, with 1.55 confirmed as short-term resistance.
Altcoin trading volume is rising, but prices are falling — this is not new capital entering, but turnover.The Ethereum Grand Paradox: While Layer 2 networks reach more than $40 billion in TVL and sub-cent fees, Mainnet activity has slowed so much that fee burn (EIP-1559) plummeted, making ETH inflationary by more than 950,000 post-Merge tokens. Is this a symptom of success or a danger to the price of $ETH? 1. The Triumph of Second Layer (L2) Networks The rollup ecosystem has established itself as the true execution layer for usersNVIDIA earnings countdown, results revealed at 4 AM
Can I get out of my losing position in the US stock market?
The real big event this week is about to happen. Compared to this quarter's revenue, the market is more focused on next quarter's revenue guidance and gross margin levels.
In the past, there have been many instances where earnings data looked great, but guidance did not exceed expectations, leading to a rally followed by a sell-off to realize gains.
Three simple scenarios:
1. Guidance is significantly raised, gross margin holds steady, risk appetite rises, $BTC remains strong with fluctuations, $ETH fully releases its elasticity;
2. Earnings meet expectations but guidance is mediocre, likely causing a rise and fall pattern, market oscillations, and two-way contract liquidations;
3. Guidance falls short of expectations, AI sector sentiment is questioned, risk assets come under pressure, and ETH experiences a larger pullback.
Event-driven trading is not suitable for heavy positions. Prepare protective measures for leveraged positions in advance, and don't be swayed by short-term market fluctuations On-chain anomalies are more honest than news. In the past two hours, about 120,000 ETH have been net withdrawn from exchanges; a wallet dormant for thirty-seven months split funds and withdrew 17,000 ETH from trading platforms, only withdrawing without depositing. The order book shows over 40,000 buy orders between 2450 and 2462, while sell pressure above 2488 to 2502 is less than 20,000. The perpetual funding rate is negative 0.018, short positions account for 57%, shorts are more crowded than longs, and the risk of short covering is accumulating.
I just delivered a meal to the sixth floor of an old neighborhood; my phone was still vibrating when I came downstairs, but the order book was very clear. Whales continue to withdraw spot supply, and the buy orders below are solid. Shorting at this level is not cost-effective. I prefer to buy on dips, lightly entering near the current price of 2469, adding a position on a dip between 2460 and 2465, with a stop loss below 2440. A break below 2440 would indicate the withdrawal logic is broken, and I won’t hold the position. Take profit is first targeted at 2535, selling half, and the remaining position looks to 2580. If I’m wrong, I’ll keep delivering food; no need to be sentimental.
$ETH
#美扩大对伊制裁，海峡复航谈判推进
@OKX星球 On the day of the positive news landing, the price did not rise, and the market learned another lesson: expectations are the most expensive part.
Grayscale Zcash ETF officially launched for trading. After a cumulative rise of 60%, ZEC pulled back about 8%, a typical case of "buy the rumor, sell the news."
The ETF launch is still a structural positive for ZEC, opening institutional-level exposure channels, which is beneficial for liquidity and market positioning in the long term. However, the short-term catalyst has already been priced in by the 60% increase, and the price actually fell on the launch day, indicating that short-term funds chose to take profits.
Currently, there is a divergence between bullish and bearish views: the mid-term logic is supported, but the risk of chasing highs in the short term is also clearly rising.
Next, the focus will be on the ETF's first-day net inflow data: if funds continue to flow in, there is still room for a second upward wave after the pullback; if inflows fall short of expectations, the adjustment may continue. Compared to chasing highs, the support after a pullback is more worth watching.
Source: CoinDesk
#ZEC #Crypto100W$SHIB Twitter daily active users are still there, but on-chain transfer volume has dropped by two levels. Short at 0.00000533, profiting from those still shouting orders, while real money has withdrawn.
50x to 0.000005234, +90%. Closing 90%, keeping the remaining position at breakeven stop-loss opening price, moving stop-loss to 0.00000528. Community coins fear the divergence structure of loud voices and light wallets the most; later when brushing DOGE/PEPE, this will be encountered again. $BTC $ETH Bitcoin ($BTC) price has been up more than 20% in record time, driven by institutional net inflows of over $1.92 billion in spot ETFs and a massive short squeeze of $2.7B. However, with a daily RSI above 78 and a wall of institutional sell orders in the $80,000–$83,000 band, the structure demands a tactical reading to avoid falling into FOMO buying. 1. Anatomy of the Rally: Real Drivers of the Rally Unlike pure cycles#TheAIillusion One of the most interesting things in the AI industry today, and something that remains outside the attention of 99.9% of people, is the real impact of artificial intelligence on the economy. Hyperscalers are investing hundreds of billions of dollars in AI infrastructure. Corporations are spending billions on tokens and on attempts to integrate AI into their operations. And the entire market is being accelerated by everyone buying from each other in a loop, valuations rising, morNVIDIA NVDA After-Hours Volatility Range (Fluctuates immediately after earnings release)
In the past two years, normal volatility of ±5-7% is the most common range
There are three types of results, giving you the corresponding fluctuation range:
1. Earnings just meet expectations (most common, positive news priced in with a drop)
Revenue and gross margin qualify, but next quarter guidance is 103B-105B, no surprises
• After-hours: -4% ~ -7%
• Next full trading day, continues downward, cumulative two-day drop can reach 7-10%
2. Significantly below expectations (revenue/guidance/gross margin disappoint)
Guidance < 100B, gross margin declines
• After-hours plunge -8% ~ -15%
3. Major beat (surprise rally, low probability)
Q3 guidance ≥ 110B, gross margin > 76%, large buyback, Rubin chip exceeds expectations
• After-hours rise +5% ~ +8%
Extreme beats can push up to +12%, but this has been rare in the past year.
Key historical pattern
The last 4 earnings releases have closed lower the next day, even with strong earnings numbers, as positive news tends to be sold off.
Next-day drops for the last 4 earnings: -0.88%, -3.15%, -5.46%, -1.77%.
Converted to current price (around $213)
It’s not the current quarter revenue, but the next quarter revenue guidance
The guidance number is the real switch that determines whether the stock moves up or down It's almost the most exciting options settlement Friday of the week again, with $6.4 billion in BTC options concentrated to expire. Such a huge derivatives volume will directly rewrite the short-term market rhythm. Many have suffered losses on settlement days, with K-line support and resistance all invalidated, causing stop-losses to be triggered back and forth with sharp spikes.
Let me break down the data clearly for everyone:
This expiration has 44,639 call options and 37,061 put options, with a put/call ratio of 0.83, indicating a higher proportion of call positions.
The market focuses on the maximum pain price level, which is the point where option buyers suffer the greatest losses and institutional sellers gain the most. As expiration approaches, the price tends to be pulled like a magnet toward this level.
Many retail investors have a misconception: seeing the maximum pain point, they firmly believe the price on Friday will definitely be pinned at this level.
Reality often proves otherwise!
Only when spot market funds are weak do market makers have the ability to drag the price toward the pain point; once spot buying or selling power is strong enough, the pain point is ignored, leading to violent breakouts or crashes.
Two market scenarios:
✅ Scenario One: Attracted by the pain point, narrow range oscillation
Before settlement, market makers continuously hedge, trapping the price in a cage, with spikes up and down shaking out stop-losses on both long and short contracts. Most short-term traders, regardless of direction, get stopped out repeatedly. They see the direction is right but can't hold their positions. This is the most tormenting aspect of settlement week. In this scenario, chasing rallies or selling into dips is just giving away money.
✅ Scenario Two: Breaking free, moving in one direction
Once the price significantly deviates from the pain point, market makers' hedging constraints fail, and the $6.4 billion options complete#Bitcoin is currently not in a very good situation. After the daily candle closes, it continues to weaken. If the follow-up candles on Thursday and Friday cannot close above 79,000, the overall daily trend will be somewhat worrisome.
So far, macroeconomic positives rely too much on oil prices. The policy benefits that started to ferment last week have gradually exhausted. There are only two factors that can drive the rise: one is the rapid drop of oil prices below 85 or even 80 to ease inflation pressure, bringing macroeconomic benefits.
The second also depends on the net inflow support of ETFs. If ETF net inflows fall below 300 million, it means buying power weakens, and one less factor will support price increases.
Regarding the overall daily trend, I really hope it rises a bit more now, just "one step away" from the previous daily high. At this point, a direct drop is completely different from a pullback after a new high in terms of market confidence.
After a new daily high, the pullback will be more stable, and the bottom is very likely not to break the previous low, greatly increasing market confidence. If it falls back without breaking the daily high, market confidence will be severely hit, and the new low of 58,000 may not even become an effective bottom. At least, this is what I see currently! #BTC突破80000美元，能否站稳新关口 $BTC around $78K feels less like a clean breakout and more like a market that’s starting to test its own strength. The part I’m watching isn’t the headline rally. It’s the persistence of spot demand. Seven consecutive sessions of ETF inflows have pulled billions into BTC, which tells me this move isn’t being carried by leverage alone. There’s actual money continuing to absorb supply. But price has now reached the awkward part. Inflation is still sticky. PCE came in hot enough to keep the Fed con#BTC突破80000美元，能否站稳新关口
The halving cycle for miners is the core logic behind Bitcoin's long-term market trend. The next halving is expected in 2028, more than two years from now. Many have already started positioning themselves, betting on the halving rally. However, many misunderstand the halving rally, thinking that halving will definitely cause a big surge. In fact, historical halving rallies are priced in advance, and after the positive effects are realized, a pullback often occurs.
Each time Bitcoin halves, the block reward halves, output decreases, circulation growth slows, and supply contracts, theoretically driving prices up. But historical data shows that the positive effects of halving are reflected in the price six months to a year in advance. When the halving actually happens and the positive effects are fully priced in, the market often experiences a pullback. After the 2020 halving, Bitcoin surged to 60,000 and then entered a major bear market, a typical case of positive effects being fully realized.
Now, with more than two years until the next halving, the market has already started trading based on halving expectations, which is one of the long-term logics behind this round of rebound. Many long-term funds are positioning early, betting on the halving rally, so there is strong support after price declines.
But we must distinguish between expected rallies and real rallies. Much of the current rise is driven by halving expectations. Once these expectations weaken or the macro environment worsens, the market will pull back. Do not blindly add positions at high levels just because of the long-term halving logic. Long-term positioning should also be done in batches, not all at once.
For short-term traders, the halving cycle is still far away. Short-term market trends are determined by macro liquidity and market sentiment. Do not use the long-term halving logic to guide short-term trading. Long-term investors can build their base positions in batches, ignore short-term fluctuations, and patiently wait for the halving cycle to arrive.
Trading requires distinguishing time cycles: long-term logic determines the overall direction, short-term funds determine volatility rhythm. Only by matching your holding period can you apply the correct trading strategy. If Dogecoin truly integrates into Musk's payment system, it would be the most significant "identity transformation" in cryptocurrency history: a coin born from a joke, for the first time stepping onto the stage of real payment scenarios.
The reality is that X Money launched a public beta in the US this April, focusing on P2P transfers, Visa metal debit cards, and savings yields, but it is currently purely a fiat product. However, Musk's roadmap has already reserved space—rumored to integrate Bitcoin and Dogecoin trading and payments through the "Smart Cashtags" feature. Tesla also reopened Dogecoin purchases for merchandise this April, signaling that integration is not just speculation.
If it comes true, the impact will be twofold. For $DOGE, X's approximately 600 million monthly active users represent an unprecedented demand gateway—tipping, subscriptions, and e-commerce settlements could all be practical use cases. Its low fees and one-minute block time perfectly suit small, high-frequency payments. For X, Dogecoin is a differentiating tool: PayPal and CashApp have not touched it, so if X secures it, it becomes an exclusive label.
But the risks are equally clear. A fiat license does not equal crypto custody qualifications; the compliance path could take months. Dogecoin's volatility inherently conflicts with the stability required for payments; real daily settlements may still rely on stablecoins, with Dogecoin more likely relegated to a tipping role. The most realistic caution is that market expectations often run ahead of actual implementation—"buy the rumor, sell the fact" has played out too many times with this coin.Considering tonight's NVIDIA earnings report, how will the spot market main players react?
NVIDIA's earnings will only cause intense volatility at the contract level; spot market main players will not massively rebalance their portfolios overnight because of one earnings report.
• Even if the earnings exceed expectations: spot market main players will not frantically chase highs overnight; at most, short-term quantitative spot trading will do some swing trading, while major institutions will still wait for price pullbacks.
• Even if the earnings fall short of expectations: the short-term decline is due to contract long liquidation; only if the decline triggers continuous ETF outflows and large whales transferring massive amounts into exchanges will it evolve into a mid-term adjustment at the spot level.
In summary: currently, BTC and ETH spot market main players have not collectively fled, but the willingness to chase highs at elevated levels is seriously insufficient; buying is concentrated around the 73000-75000 (BTC) and 2200-2280 (ETH) support ranges; much of the latter half of this rally’s rise comes from contract short squeezes, with insufficient spot volume, so sharp pullbacks at high levels are likely; the earnings report will only disturb contracts and will not directly change the mid-term layout of spot institutions.
$BTC $ETH $OKB
#财报观察员：英伟达领衔，AI回报进入验证期 Holding a long position of $BTC at 78,235, now at 78,514, and a long position of $ETH at 2,452 also showing a small floating profit. The $ARB position at 0.08892 is similarly turning from red to green. My friend's account hasn't made big profits on these longs, but it's steady, and I don't plan to make any rash moves.
However, there are a few signals in the market that make me think this rebound can be held onto, but not to get carried away. Bitcoin has pulled up from the early-month low to 79,100, and on-chain funds are indeed improving, with realized market cap relative change climbing to +0.21%, turning positive for the first time since the end of May, indicating the market is starting to accumulate chips again. But despite looking good, this strength is just below passing grade historically; funds have just stopped running, not yet running in.
Also, something to watch: on Friday, $6.4 billion worth of options expire. With expirations of this scale, market makers often adjust hedges in advance, causing prices to swing back and forth between two key strike prices, making it tough for those chasing orders. I don't plan to add positions before Friday; I'll hold current positions and take profits where possible.
Additionally, on-chain, a huge ETH whale who held a position for two years has transferred all to exchanges and exited with a loss of over ten million. When someone of this level cuts losses, it doesn't necessarily mean they're right, but at least it shows some old money is doubting the sustainability of this rebound. So my stance on $ETH remains: willing to buy at low levels, but not chasing on the rise.
This rebound's big picture is fine, but the momentum is still lacking. To go further, it depends on whether spot can hold after options expiration and whether funds dare to continue flowing in. $NVDA has experienced seven consecutive declines, retreating to the 208-210 USD support zone. The core market conflict lies in whether the high capital expenditure under AI-driven inflation transmission can match Vera Rubin's subsequent gross margin and high base guidance.
From the perspective of the market and position changes, after evaporating over 400 billion USD in market value, the RSI6 has fallen back to 35.84, approaching oversold territory. However, Polymarket shows that the probability of a stock price increase after the earnings report is less than 50%. The concentration on the cost side is reflected in a 435% surge in storage costs and a more than 15% increase in server prices, directly prompting institutions to proactively shrink risk appetite before the earnings release.
The current driver ranking is: Vera Rubin system cost and gross margin outlook outweigh doubts about the overdraft demand for revolving financing, followed by the data center's expected total revenue of 92 billion USD. Hardware cost squeezing profit margins has become the main factor suppressing short-term bullish sentiment.
The upside scenario trigger condition is to hold above the 216-220 USD resistance zone after hours. The variable to watch is whether management can confirm accelerated Rubin demand and absorb hardware costs; if 220 USD is successfully reclaimed, the target above is the 230-236 USD range. The invalidation signal for this scenario is a rally followed by a fall and losing 212 USD.
The downside scenario trigger condition is breaking below the key support zone of 208-210 USD. The key variable is the market's further pricing of the 105 billion USD guarantee and 500 billion USD AI infrastructure financing risk; once effectively broken, the downside space will open to the 200 USD psychological level. The invalidation signal for this scenario is a rapid pullback above 216 USD.
The determination of the long-short defense line conversion depends on the strength of capital defense near 208 USD. Bank of America and HSBC's target prices of 350 USD and 360 USD respectively are mid-to-long-term valuation anchors and cannot prevent short-term positions from hedging and selling off on an event that is better than expected but with flat guidance.
In the next 24 hours to 7 days, the focus is on whether $NVDA can close above the 220 USD threshold and the transmission effect of gross margin guidance on the overall AI sector's risk appetite.
#黄金高位震荡，机构资金继续看涨 #财政部拟动用TGA，长债回购能否治本？Comprehensive Analysis of BTC and ETH Spot Main Forces
The spot main forces are divided into four major groups: US ETF compliant institutions, corporate institutions (such as MSTR), on-chain whale private holders, and exchange market-making/quantitative spot funds; contract leverage is not part of the spot main forces, it is only a short-term sentiment amplification tool. In this round of correction, the behaviors of the four main forces have clearly diverged. Below is a complete breakdown from the perspectives of capital, on-chain chips, volume and price, key price levels, differences with contracts, and future market signals.
1. Current Status of BTC (Bitcoin) Spot Main Forces Groups
1) Spot ETF Institutions (the most important marginal buyers)
• Last week saw the strongest single-week net inflow in nearly 10 months, which was the core spot driving force for this rally. Entering the rally correction phase, inflows have significantly slowed and no longer continue large-scale buying; there has been no large-scale continuous net outflow, but subscription intensity has decreased.
• Behavior: They do not aggressively chase above 80,000; aggressive buying stops at high levels, waiting for a pullback; true institutions do not chase impulsive short squeezes.
• Key: As long as there is no continuous net outflow, the mid-term bottom remains; once there is continuous multi-day net outflow, it signals weakness on the spot side.
2) Corporate Institutions (MicroStrategy)
• Stopped continuous mindless accumulation at high levels, shifted to wait-and-see, no longer sweeping up large funds upward; more inclined to accumulate in batches after price falls, with reduced buying power above 80,000.
3) On-chain Whales (private holders with 1,000–10,000 BTC)
• Continued accumulation in the low range during June-July; upon rallying to the 78,000–81,000 range, some short-term swing whales began transferring chips to exchanges to take profits; long-term whales still hold without large-scale selling.
• Divergence: Swing whales take profits at highs; long-term whales do not chase highs, waiting to accumulate again in the 73,000–75,000 range.
• On-chain signals: Large BTC transfers from cold wallets to exchanges = whales cashing out; exchange BTC balance continuously decreasing = whales accumulating on dips.
4) Spot Quantitative/Market-Making Funds
• Above 80,000, continuously raising sell orders, providing significant selling pressure at key resistance levels; near 75,000, placing buy orders to support, engaging in range-bound arbitrage, not purely long or short.
Summary of BTC Spot Main Forces: No collective flight, but no longer actively pushing prices higher at highs, insufficient willingness to chase; leaving the support window to the 73,000–75,000 support band, spot buying above 80,000 is clearly exhausted. The latter half of this rally is more driven by contract short covering, spot incremental volume cannot keep up with price.
2. Current Status of ETH (Ethereum) Spot Main Forces
ETH spot main forces are smaller than BTC; ETF scale and institutional allocation are overall weaker than BTC, with greater volatility.
1) ETH Spot ETF: Similarly, net inflows earlier, inflows slowed after rally; ETH institutional holdings are much smaller than BTC, with thinner buying depth.
2) On-chain Staking Whales: Large amounts of ETH are locked in on-chain staking, circulating spot chips are relatively few; during correction, some staking unlock chips are cashed out at highs.
3) Whales: Greater divergence among ETH whales; some optimistic about RWA and Layer 2, continuing to hold; others take profits at highs and exit.
4) DeFi-related Spot Funds: Increase leverage when prices rise; during price corrections, spot selling occurs to repay debts, amplifying the correction.
Summary of ETH Spot Main Forces: Spot base is weaker than BTC; spot buying exhaustion at highs is more obvious. At the same price correction, ETH spot selling pressure release is stronger than BTC, which is the underlying reason for ETH’s higher beta.
3. Volume and Price Aspects: Spot vs. Contracts, Distinguishing Real and Fake Main Force Markets
1) In the latter half of this rally: contract trading volume exploded, spot trading volume did not simultaneously refresh highs, a typical volume-price divergence. In other words, a large part of the force pushing the price to 80,000 is short covering, not continuous spot buying by main forces.
2) Phenomena during correction phase:
• Early pullback: contract liquidations increase volume, spot volume moderate;
• If it falls near 75,000, spot volume increases to support, indicating spot main forces willing to hold, a healthy shakeout;
• If it breaks below 75,000, spot volume continues to shrink with no support, indicating spot main forces abandon defense, and correction will deepen.
4. Chip Distribution, Key Support and Resistance, Psychological Price Levels of Spot Main Forces
BTC
• Range where main forces are willing to actively buy: 73,000–75,000, dense chip cost area, whale and ETF pullback accumulation zone.
• Range main forces are unwilling to chase: 79,000–81,000, thin buying at highs, mainly profit-taking selling pressure.
ETH
• Support range: 2,200–2,280, previous dense chip area;
• Weak willingness to chase range: 2,480–2,550, huge resistance, insufficient spot buying, prone to profit-taking and pullback at this level.
5. Current Core Divergences Among Main Force Groups
✅ Bullish Main Forces (ETF long-term funds, long-term whales, corporate institutions)
Logic: Fed rate cut expectations, improved US crypto regulation, intact four-year halving cycle; no chasing above 80,000, waiting for pullback to key support to accumulate, ignoring short-term corrections.
⚠️ Bearish/Swing Profit-Taking Main Forces (swing whales, spot quant funds, some short-term ETF funds)
Logic: Short-term gains huge, price rise relies on short liquidation, spot incremental volume cannot keep up; profit-taking at highs, waiting for deeper correction.
6. Four Key Signals to Judge Spot Main Force Movements (Practical Observations)
1) Daily ETF capital flow: continuous net inflow = institutional spot entry; continuous multi-day net outflow = institutional withdrawal, risk escalation.
2) Exchange BTC/ETH inventory changes: inventory rising continuously means whales transferring to exchanges to sell; inventory falling continuously means whales withdrawing coins to accumulate.
3) Spot volume at pullback support: if spot volume increases to support at 75,000, it is a shakeout; if spot volume shrinks continuously during decline, it means no one is supporting.
4) Distinguishing spikes and effective breaks: intraday piercing below 75,000 driven by contract liquidations may not be recognized by spot; only daily close persistently below 75,000 indicates spot main force defense failure. #Anthropic估算30万亿美元市场，IPO叙事能否兑现？
🔥Anthropic has dropped a bombshell: a $30 trillion potential market and a $2 trillion IPO valuation.
The prospectus will reveal for the first time that its TAM exceeds $30 trillion, nearly equivalent to the US's annual GDP, directly surpassing SpaceX's previous record of $28.5 trillion. Supporting this figure is rocket-like revenue growth—annualized revenue exceeded $60 billion by July 2026, with operating profitability achieved for the first time in Q2.
Investment banks are skipping current performance and pricing directly based on 2028 revenue. Doubts are equally fierce—191 tech companies in the S&P 1500 index generated a combined $2.4 trillion in revenue last year, less than one-tenth of Anthropic's claimed TAM.
From a $965 billion private valuation to a $2 trillion IPO target, the valuation anchor in the AI sector is being redefined. The $30 trillion pie is big enough, but whether the market believes it is another matter.👇Stocks focus on revenue and profit; commodities focus on supply and demand.
But BTC, ETH and the like do not generate cash flow themselves; most of the capital trading is a bet on future positive developments (ETF approval, crypto legislation passing, regulatory easing).
As long as officials, the SEC, the Federal Reserve, or Grayscale executives make verbal statements, it will directly change everyone's expectations for the future:
- Friendly statements → everyone anticipates that funds can enter the market compliantly in the future → scramble to accumulate and push prices up
- Strict regulation/hawkish statements → anticipate policy tightening and capital flight → collective sell-off and price drop
Once expectations change, prices change immediately, without the need for the event to actually materialize.
2. Market structure: extremely high leverage amplifies volatility
Crypto contract leverage is widespread, with many retail investors holding leveraged positions:
Positive statements drive price up → trigger long position profits and add-ons;
Negative statements crash the market → continuous liquidation of long positions, liquidations further push prices down, causing a stampede-like decline
Liquidity is inherently uneven (especially altcoins), so it doesn't take huge capital; small sell or buy orders can cause large price swings.
This is the common saying: "When news breaks, the volatility far exceeds the actual value of the news itself."
Many policies and regulatory trends are leaked early to Wall Street and large market makers:
1) They accumulate chips at low prices in advance
2) Wait for official "positive statements" to attract retail investors chasing the news
3) Institutions sell into the hype, then release more cautious remarks, causing prices to fall back
This is exactly what you mentioned earlier: repeatedly blowing the wind, only speculating on expectations without realization, repeatedly harvesting retail investors $BTC $ETH Nvidia earnings report: Will there be a massive influx of funds into crypto AI narrative tokens, and how significant will the impact be?
Key conclusion: There will be no real large-scale new capital inflow, only internal rotation of existing funds; only if the earnings significantly exceed expectations will there be a short-term surge of funds into AI crypto tokens; if earnings merely meet or fall short of expectations, AI tokens will instead become the sector with the heaviest selling pressure; overall, this is an emotional disturbance for the crypto space and will not change the medium-term major trend.
1. Capital perspective: Distinguishing "existing fund rotation" from "large-scale new external capital inflow"
1) There will be no direct flow of US stock market funds into crypto AI tokens.
Institutional funds in US stocks and funds buying Nvidia/storage stocks almost never cross over to buy crypto AI tokens. The linkage only comes from global risk appetite sentiment, not from capital moving across markets.
• Phenomenon: When earnings exceed expectations, within the crypto space, some existing funds flow out from BTC and ETH and short-term switch to AI-themed tokens like TAO, RNDR, HYPE. This is internal portfolio adjustment within crypto, not new external capital.
• Identifying real vs fake: If only contract trading volume surges but spot volume does not increase, it is short-term speculative trading, a pulse with poor sustainability. Real large capital inflow must be accompanied by simultaneous spot volume expansion.
2) If earnings only meet market consensus expectations (most probable)
The market "buys the rumor, sells the fact"; AI narrative expectations are already priced in, so funds will not flow in but rather take profits, with AI tokens being sold first and funds flowing back to BTC for risk aversion. Historically, Nvidia earnings have been strong but AI crypto tokens have surged then retreated.
3) Only in a strong beat scenario (revenue, next quarter guidance, gross margin all above whisper expectations)
Risk appetite heats up comprehensively; crypto existing funds short-term cluster into AI sector tokens, with TAO, RNDR, HYPE, FET outperforming the market briefly, but this is short-term speculation, not a mid-to-long-term layout. The hype usually lasts a few hours to 1-2 days, then funds rotate back to mainstream coins.
2. Layered impact on the entire crypto space
1) Mainstream coins BTC, ETH
• BTC: Least indirect impact. Earnings do not change ETF fund flows, only cause short-term volatility; core support at 75000 will not be broken or breached solely due to earnings.
• ETH: Moderate impact, higher beta following risk appetite.
2) AI narrative crypto tokens (most affected)
Representatives: TAO, RNDR, HYPE, FET
• Earnings beat: short-term surge, amplitude ±10-20%;
• Earnings meet/fall short: declines much larger than BTC, ETH, prone to volume-driven drops.
3) Other tokens
SOL: high beta, benefits from overall market risk appetite rise;
ZEC, BICO, EDEN: secondary following the market;
OKB, small-cap junk coins: almost unaffected by earnings narrative.
3. Complete scenario analysis
Scenario 1: Significant beat (low probability)
US stocks Nvidia surge after hours, storage stocks (SK Hynix, SanDisk, Micron) also strengthen.
• Crypto: overall risk appetite warms; internal crypto funds switch to AI-themed tokens, AI tokens surge short-term.
• Risk: Without spot volume expansion, the surge is likely to retreat within 1-2 days; BTC, ETH only small pulses, unlikely to form a new major trend.
Scenario 2: Just meets market expectations (highest probability)
US stocks surge then retreat, profits taken.
• Crypto: AI narrative tokens are first to be sold for profit, underperforming the market; funds flow to BTC for risk aversion; BTC tests 75000 support, broad market oscillates widely.
Scenario 3: Earnings miss expectations (low probability)
US AI sector valuation cut collectively.
• Crypto: AI crypto tokens lead declines, contract longs heavily liquidated; ETH, SOL also deeply corrected; BTC under pressure testing key support.
4. Key observation signals to distinguish real trends from speculative pulses
1) Look at AI token spot volume: only simultaneous spot volume expansion indicates genuine capital recognition; contract volume alone = short-term speculation, avoid chasing highs.
2) Look at BTC-ETF: earnings will not trigger large ETF inflows or outflows; without ETF movement, no major crypto market trend.
3) Time window: 0-12 hours after earnings release is emotional reaction period; after 12 hours, mostly returns to original trend.
Summary in one sentence: Nvidia earnings will not bring large-scale new external capital into crypto AI tokens, at most short-term rotation of existing crypto funds; AI tokens act as emotion amplifiers, rising sharply when up and falling heavily when down, likely returning to original trend after the event.
$BTC $ETH $OKB
#财报观察员：英伟达领衔，AI回报进入验证期 Tonight is highly likely to see wide-range oscillations, with a low probability of a sustained one-sided surge or plunge; volatility will increase around 4 AM when Nvidia's earnings report is released; ETH, SOL, and AI-themed tokens will fluctuate much more than BTC; frequent stop-loss hunting with sharp spikes up and down is expected, making it difficult to directly change the mid-term major trend.
Below is a breakdown from external earnings catalysts, contract derivatives, sentiment indices, spot funds, key price levels, differences among coins, and three scenario layers.
1. External Catalyst Layer (mainly Nvidia earnings)
1) Transmission logic: Nvidia has no business connection with crypto, relying on global risk appetite linkage. Many hedge funds hold both US tech stocks and BTC-ETF; sharp after-hours moves in US stocks will synchronize portfolio adjustments in crypto assets.
2) Historical pattern: Even if earnings meet expectations, there is often a "buy the rumor, sell the fact" phenomenon, with US stocks surging then falling after hours, and crypto following the pulse then reversing.
• Strongly exceeding expectations: risk appetite rises, crypto surges briefly, AI altcoins show the strongest breakout power; but if spot volume doesn't keep up, the surge will retreat.
• Meeting market consensus (most probable): neutral to slightly bearish, positive news is priced in, BTC tests 75000 support, ETH pulls back accordingly.
• Below expectations: US AI sector valuation is cut, risk assets are collectively sold off, contract longs liquidate in chains, market volatility spikes sharply.
3) US bonds and dollar: Treasury yields and the dollar index won't fundamentally change due to earnings, only short-term disturbances following US stock sentiment, thus secondary variables.
2. Contract Derivatives Layer (core driver of tonight's amplified volatility)
1) Current total open interest remains high with long and short positions stacked; many stop-loss orders are placed near BTC 75000, 77000 and ETH 2200, 2450; news release can easily trigger concentrated liquidations, amplifying volatility.
2) Structure: ETH and SOL contracts account for a significantly higher proportion than BTC; under the same news impact, smaller coins experience stronger liquidation pressure.
3) Market phenomenon: contract trading volume pulses sharply at earnings time, spot trading changes little, indicating mostly leveraged speculation rather than real spot capital inflow; pulse sustainability is poor.
3. Market Sentiment Layer
Fear and greed index has fallen back to 65-69 greed zone, not entering fear.
Prices have pulled back, but retail investors have not panicked massively; market opinions diverge: some see it as a mid-bull market correction; others believe the phase of upward movement has ended.
4. Spot Funds Layer (decides if a one-sided trend can form)
1) BTC-ETF funds form the mid-term base; earnings won't cause massive instant inflows or outflows of ETF funds, so spot won't suddenly change, more of a short-term derivatives market.
2) Key observations:
• Surge: spot volume must increase simultaneously for the rise to continue; relying only on contract volume is stop-loss hunting.
• Decline: retesting 75000; if spot support is effective, it's a healthy shakeout; if volume breaks below 75000, long stop-loss chains trigger, deepening the pullback.
5. Volatility Differences Among Coins
1) BTC: relatively restrained volatility, mainly between 75000-80000, acting as market ballast; spikes dominate, making large single-day moves rare.
2) ETH: high beta, about 30% more volatile than BTC, likely oscillating between 2200-2550.
3) SOL, ZEC, BICO, EDEN: very elastic, influenced strongly by AI and RWA narratives and earnings sentiment; daily ±10% moves are normal.
4) Small caps ONT, RE, CAP: large slippage under broad market oscillation, poor liquidity, extreme spikes, risk of independent dump.
5) OKB: almost unaffected by earnings, follows its own independent logic.
6. Three Scenario Simulations
Scenario 1 (highest probability): wide oscillation with stop-loss hunting, no break of major range
Nvidia earnings meet expectations, US stocks surge then fall after hours. Crypto first surges then probes lower, or first dumps then recovers. BTC oscillates between 75000-79000, ETH sweeps stop-losses between 2220-2480.
Market features: contract volume spikes briefly, spot volume moderate, no one-sided trend formed.
Scenario 2 (low probability bullish): significantly exceeds expectations, short-term breakout upward
Revenue, next quarter guidance, and gross margin all beat whispers; US AI sector rallies strongly. Risk appetite fully recovers; BTC challenges above 81000, ETH hits 2550.
Risk: if spot funds lag, surge will retreat again.
Scenario 3 (low probability bearish): earnings below expectations, deep pullback
Guidance and gross margin miss; US tech stocks plunge. BTC volume tests 75000; if broken effectively, next support at 71000-72000; ETH deeply corrects with many contract longs liquidated.
7. Practical Observation Signals
1) Watch BTC 75000 key support: intraday spikes below and daily close below are different; quick recovery after spike is shakeout, daily close below indicates weakening trend.
2) Distinguish contract volume surge from spot volume surge: contract pulses are not valid trends.
3) AI altcoin surges and crashes do not represent the overall market direction.
In summary: tonight is an event-driven volatile night with amplified fluctuations dominated by stop-loss hunting spikes; unlikely to start a new major rally or enter a bear market directly; focus on 75000 support and spot volume changes; high leverage risk is extremely high.
$BTC $ETH $OKB
#财报观察员：英伟达领衔，AI回报进入验证期 Is a big volatility coming? $6.4 billion in options expire on Friday.
$BTC has rebounded from the August low to $79,100, and on-chain funds have also started to shift: the realized market cap relative change has risen to +0.21%, turning positive for the first time since the end of May.
For six consecutive days, the apparent demand on the 30th has exceeded the new issuance, indicating that the market is beginning to absorb chips again.
But turning positive does not mean strength.
Current capital inflows are only at the lowest 3%-4% of historical positive values, and demand intensity ranks at a relatively low 10%. Funds have just stopped withdrawing but have not made a large-scale entry.
Notably, Lookonchain posted on X that an $ETH whale transferred all positions held for nearly two years into Binance, accumulating losses exceeding $10 million 🥲.
A full position transfer usually indicates a significant increase in stop-loss or reduction intentions.
Meanwhile, about $6.4 billion worth of $BTC options will expire on Friday.
Such a large scale makes it easy for market makers to concentrate on adjusting hedge positions before expiration, and short-term prices may repeatedly tug around key strike prices.
Related signals indicate that funds are beginning to actively reduce risk.
This round of $BTC rebound currently wins in direction but is weak in strength.
Only if on-chain demand continues to expand and spot trading takes over after options expiration can the market go further.
#BTC突破80000美元，能否站稳新关口 The US July PCE data mix is hawkish: overall PCE year-on-year at 3.7% and month-on-month at 0.2%, both 0.1 percentage points higher than market expectations; core PCE year-on-year at 3.3% and month-on-month at 0.2%, in line with expectations. Nominal consumption remains resilient (personal spending month-on-month +0.2%, income month-on-month +0.4%, both exceeding expectations), durable goods orders month-on-month +1.1%, significantly better than the expected 0.5%. The data confirms the combination of "inflation cooling is sluggish, economy not rapidly crashing," leading the market to raise the probability of a Fed rate hike in September from 36% to 42%, further compressing expectations for rapid rate cuts.
On the asset side, the US dollar index rose to 99.19, US Treasury yields rose across the board, and gold, as a non-interest-bearing asset, took the brunt—spot gold fell below $4610, plunging over $75 in a single day, with $4700 becoming a short-term resistance level; BTC fell below $78,000, ETH retreated in sync, and the crypto market saw over 84,000 liquidations in the past 24 hours. Before Fed Chair Powell's speech at Jackson Hole on Friday, gold, BTC, and ETH all face dual pressure from "hawkish expectations + profit-taking," making conditions for a one-sided rally unlikely. The main theme is consolidation and shakeout, so chasing longs requires caution. 【BTC Bear Market Ends, But $83000 Is the Real Test】
$BTC surged to $81000 then pulled back, currently consolidating around $79000. Although short-term selling pressure from trapped holders exists, the lows keep rising, indicating buyers are still absorbing chips and the trend hasn't shown clear weakness yet.
The most critical level ahead is $83000.
This is both the previous high and the 365-day moving average. After past bear markets ended, BTC usually experienced a pullback upon first hitting this moving average. In 2019, it retraced about 12%, and in 2023, it fell from $25000 back to around $20000.
Therefore, BTC has a short-term chance to challenge $83000, but the closer it gets, the more cautious one should be about chasing the price blindly. For those still on the sidelines, a failed breakout followed by a pullback might actually be a more comfortable opportunity to buy in.
Currently, on-chain bull market scores have risen above 80, spot demand and stablecoin liquidity are improving simultaneously, and large addresses continue to accumulate. All these signals suggest the bear market has very likely ended, but the bull market is just starting. The biggest risk now is popping champagne too early or suddenly increasing leverage.
Do you think $BTC will break through $83000 directly, or will there be a roughly 10% pullback first? NVIDIA's Q2 fiscal year 2027 earnings report is out.
The market previously expected: $92 billion in revenue.
Actual revenue: 3 yuan?
???
Of course, it's not really 3 yuan.
But seeing Wall Street's current attitude toward NVIDIA, I suddenly feel that the gap between 3 yuan and $92 billion doesn't seem that big anymore.
Because the most absurd thing now is not whether NVIDIA can beat expectations, but whether beating expectations still counts as beating expectations.
1. $92 billion is no longer a target, it's the passing line.
Before the earnings report came out, Wall Street had already raised expectations close to $92 billion, nearly double year-over-year growth, which would be cause for celebration for any company.
But not for NVIDIA.
You earn $92 billion: well, that's expected.
You earn $95 billion: that's okay.
You earn $100 billion: what about next quarter?
If your guidance doesn't continue to raise future expectations, Wall Street might even perform a "good news fully priced in" act on the spot.
So now I really suspect whether the units in NVIDIA's earnings report have been secretly changed by Wall Street.
2. What Wall Street is really waiting for now isn't the earnings report, but a wishing well.
In the past few quarters, NVIDIA has repeatedly delivered earnings that beat expectations, yet the stock price often falls right after the report.
Why?
Because what everyone wants is no longer just "you made a lot of money."
It's: Can Blackwell continue to explode? When will the next-gen Rubin take over? Can data center revenue accelerate further? Will gross margins drop? What about the China market? When will the AI giants recoup the money they've spent?
Even NVIDIA's own participation in AI infrastructure financing has become a topic of repeated discussion.
Now people aren't asking Jensen Huang: how much did you make this quarter?
They're asking: can you prove the AI story for the next three years all at once tonight?
3. So the joke about "actual revenue 3 yuan" actually resembles Wall Street right now.
It's not that NVIDIA really only made 3 yuan.
But expectations have become ridiculously high:
$92 billion might just be normal.
$95 billion might not be surprising enough.
$100 billion still depends on guidance.
If the stock falls after the earnings, Wall Street will most likely tell you: it's not that the performance is bad, it's that expectations were too high.
I'm really impressed.
This is probably the most surreal thing about NVIDIA right now.
Before, everyone worried whether it could make $92 billion.
Now the real question is:
If NVIDIA makes $92 billion, will Wall Street think it only made $92 billion?
$NVDA #波动雷达：币种异动观察 现在大多数交易员都在盯着 $82K、PCE数据以及美国现货ETF资金流，但另一个值得关注的指标，是 Hyperliquid 大户的仓位变化 🐋 此前在 2026年3月，Hyperliquid 大户从净空头逐步切换到净多头，随后 BTC 从约 $66K 一路反弹至接近 $79K。 如今，如果鲸鱼再次明显增加多头敞口，同时 ETF 继续保持资金流入，那么市场可能正在为下一段上攻蓄力。 但在信号真正确认之前，我不会盲目追高。价格突破 + 鲸鱼转多 + 资金流同步，才更值得关注。🚀 #PCEToJacksonHole #BTC80KHoldOrFold #AIEarningsWatch #BTC #CryptoCan altcoins really survive for the long term? This question hits the harshest truth of the current market. The answer is: only a very small number of altcoins can survive long-term; in fact, the fate of most altcoins is to eventually disappear.
Behind this are some cold hard data realities:
· Extremely high "death rate": Among the top 100 coins by market cap in the past, the "death" rate within 5 years is as high as 62%. Over a 10-year span, this number soars to 84.7%, with a median survival lifespan of only 2 years and 4 months.
· Beating Bitcoin is a very low probability: Since 2020, the equal-weighted altcoin index has dropped 53% overall, while Bitcoin surged 731% in the same period. This means if you blindly buy a bunch of altcoins, chances are you won’t outperform Bitcoin.
· New coins increasingly resemble "junk bonds": Of the coins launched in 2024, 86% have dropped more than 90% within two years, and over half of the tokens’ prices have never even surpassed their listing day price.
Why is it so hard for altcoins to survive?
This is due to both changes in market structure and inherent flaws in the projects themselves:
· Market "involution" and capital diversion: Bitcoin benefits from institutional capital "moats" brought by ETFs, but this money rarely flows into altcoins. The market is heavily dominated by large caps, with capital concentrated in a few top assets, causing the number of projects with market caps over $250 million to shrink by two-thirds compared to the 2021 peak.
· Too many scams and "empty shells": The industry is rife with fraud, and "rug pull" incidents have become commonplace. Many projects exist solely to "issue tokens" without any product value.
So, are there any that can survive? What are the criteria?
Yes, but they have clear characteristics. Quoting the founder of CryptoQuant, only three types can survive:
· DeFi projects with real business and revenue;
· Platform tokens that can capture value (e.g., through fee buybacks and burns);
· Projects genuinely solving mainstream financial problems.
Therefore, if you are considering altcoins, you may need to accept one premise: this is more like searching for "one survivor out of nine deaths" rather than a stable store of value. Even with recent surges in established coins like $XRP and $LINK, these are mostly phase-based capital rotations; the entire market has not yet truly entered a broad "altcoin season." The Fear and Greed Index surged to 74, the highest since the crash in October 2025! Are you panicking?
On August 12, the index was still at 27 (Fear).
In less than two weeks, it jumped straight to 74 (Greed).
On Wednesday, it slightly pulled back to 65, but the level almost coincides with October 5 last year—
And on the 5th day after that, the entire network saw about $19 billion in leverage liquidations in a single day.
BTC rallied from below 68,000 to nearly 80,000 within a week.
DOGE rose 24% weekly, Thinking Cat +131%, Cash Cat +113%.
Low-liquidity meme coins took off first, indicating retail investors' risk appetite is back, and leverage is quietly building up.
I'm not bearish; this trend is indeed strong.
But history tells us: the index is not a buy or sell alarm; it’s a "crowding thermometer."
74 doesn’t mean a drop tomorrow, it just means the cost-benefit ratio of chasing further is worsening.
What I’m doing now:
1) Not maxing out leverage to follow the crowd.
2) Taking profits in batches and keeping a base position to watch the show