Orbit Post Sitemap
$BTC
7.8 months after bottoming out of the bear market in 2019: The bull market recovery phase ended, the market explored the final pullback bottoming range before the main rise, creating an excellent 1.5-month trading window (ignoring the 3/12 black swan event)
7.2 months after bottoming out of the bear market in 2023: The bull market recovery phase ended, the market explored the final pullback bottoming range before the main rise, creating an excellent 2.2-month trading window
This cycle has been 0.25 months since bottoming out of the bear market Nvidia's earnings report beats expectations $NVDA Q2 FY2027: Revenue $96.22 billion, +106% year-on-year; Data center revenue $89 billion, +117% year-on-year; Adjusted EPS $2.22, +120% year-on-year; Adjusted gross margin 75%; Q3 revenue guidance: $108 billion. This $108 billion guidance does not include data center computing revenue in the Chinese market. From a fundamental perspective, global AI capital spending has not cooled, and demand for computing power remains very strong. Another noteworthy earnings report tonight is $CRWD. Revenue $1.47 billion, +26% year-on-year; ARR reached $5.84 billion, +25% year-on-year; new ARR $333 million, +51% year-on-year. The stock price rose over 10% in after-hours trading, but the gains narrowed significantly. This financial report does not validate ordinary network security, but a new direction: AI Agent security. The more agents there are, the greater the attack surface for identities, permissions, endpoints, and data within the enterprise. AI can improve employee efficiency, but it can also enhance hacker efficiency. So AI security is not just a concept, but a cost that companies must pay after deploying agents. Pelosi's 13th floor "The family publicly discloses congressional financial and transaction disclosures. What really matters is their configuration structure: computing power: $NVDA, $AVGO; cloud platform: $GOOGL, $AMZN; security: $PANW, $CRWD; electricity: $VST, $BE AI这个问题，是每次比特币暴跌时出现频率最高的，没有之一 2018年，比特币从接近2万美金一路跌到3000多，那时候市场什么气氛? 不是“恐惧”，是“绝望”。微信群从每天几百条消息到几天没人说话。所有人都在说:比特币就是个骗局，要归零了。 我当时手里还有点子弹，但看着K线天天往下砸，手抖得跟筛糠一样。不敢买。我怕买了继续跌，怕抄底抄在半山腰，每天问自己:是不是该割肉跑路? 结果呢?到了2020年底，比特币不仅回到了2万，还冲到了6万 那些在3000 美金敢买的人呢?一个个都财务自由了。而我，因为恐惧，错失了人生中最大的一次机会 现在回头看，我最大的遗憾不是亏过钱，而是该贪禁的时候，我选择了恐惧 那么问题来了:下跌时到底该不该买? 我的答案是:该买。但不是无脑买，不是梭哈买，更不是借钱买。 跌的时候买是对的，但“怎么买”比“买不买”重要一万倍。为什么该买?我给你捋几个最简单的逻辑: 比特币的历史告诉我们:每一次大跌，回头看都是黄金坑。2014年、2018年、2020年“312”、2022年LUNA崩盘、FTX暴雷...哪一次不是哀鸿遍野? 哪一次最后不是创了新高? 这个规律，过去十二年没变过$BTC $ETH $SOL
"ETH is money": Has Ethereum's founding argument really died completely?
At the end of May this year, @TrustlessState (co-founder of @Bankless) sold all his Ethereum native assets after holding them for 9 years, believing that this argument has "reached its end." Meanwhile, his partner @RyanSAdams insists that Ethereum without establishing ETH as a store of value is a "failed project."
To understand these views, it's worth revisiting the arguments that were supposed to support ETH:
◻️ Ultrasonic money: Thanks to the EIP-1559 and The Merge upgrades, part of Ethereum's transaction fees are burned, making supply potentially deflationary during high activity periods.
◻️ Economic bandwidth: ETH was supposed to be the base asset for all on-chain finance, serving as collateral, settlement asset, and security unit.
◻️ Institutional validation: The arrival of spot ETFs in 2024 was expected to pave the way for demand growth.
However, most of these pillars have been weakened. The Dencun upgrade was technically successful but, by significantly reducing data availability costs, it pushed economic activity toward Layer 2.
In reality, fee burning on the L1 layer has dropped sharply, causing ETH supply to rise back above the levels seen during the Merge era, with an annual growth rate of about 0.23%.
Ultimately, ETH remains a staked asset and a settlement asset!$xSPCX (SpaceX) IPO two months ago, a $1.8 trillion faith stock
Today around $137–140, market cap $1.8 trillion, IPO just in June this year. 35 analysts unanimously buy, target price $207–213 implying 55% upside.
Fundamentals are interesting: revenue doubled to $23 billion, but still losing money, net loss of $890 million, burning cash on Starship and Starlink. Business has three parts: rocket launches, Starlink, AI. Jensen Huang just said SpaceXAI uses Nvidia Vera CPU for intelligent agents, the storyline is very attractive.
Capital side: after IPO, shares have turned over fully, 52-week range median at $104–225. Vanguard and BlackRock together hold over 15%, liquidity is decent.
My judgment: SPCX is a "space + AI + Starlink" pure sentiment stock, boosted by Musk's halo, valuation relies entirely on imagination. $137 is not cheap (Forward PE 105x), trend funds are chasing.
Attitude: don't use a value framework, treat it as a small position growth faith stock to accompany. The comfortable buy point is when it really falls back to the lower end of the issuance range at $110. No rush if you haven't gotten on board.Recently, ETF data has been very interesting: BTC spot ETFs continue to see large net inflows, whereas ETH, although also in an inflow state, has single transaction sizes that are not even in the same league as BTC.
To be honest, holding positions is indeed very exhausting. But to understand the current mindset of institutions: the macro environment is highly uncertain, large capital risk appetite is conservative, and main positions are concentrated in BTC as a base for hedging, while ETH is more of a small position for flexible speculation. It's not that ETH's fundamentals are weak, but institutions are currently unwilling to heavily invest in such high-volatility assets.
This is why the market shows this kind of divergence: BTC steadily supports the market bottom, and the market seems stable, but ETH continues to trade sideways with repeated fluctuations. Don't simply assume that any inflow into ETH will lead to a big rally; the difference in inflow scale between these two assets reflects the institutions' true attitude.
This kind of choppy market tests patience the most, so try not to be easily shaken out by the volatility.
#US Core PCE flat from last month, how will the Jackson Hole speech set the tone? #Earnings Watch: Nvidia beats expectations, software revenue starts to materialize #BTC surges then falls back, options expiry amplifies key level battles
$BTC $ETH
Trader DogzongYou often see 50u challenges with account curves rising at a 45-degree angle. The signal teachers then wildly promote how powerful quantitative trading is, claiming 20% monthly profits and daily earnings.
I've seen this trick too many times; beneath the flashy appearance lie three fatal blind spots.
First, there is always a gap of friction costs between backtest curves and real trading capital. The bid-ask spread, slippage, and perpetual contract funding rates all eat into profits.
BTC slippage ranges from 0.02% to 0.05%, with a daily funding rate of 0.01%. The 50u profit on paper from backtesting doesn’t even cover these hidden costs. In extreme market conditions, slippage can instantly increase tenfold.
Second, what is the profit cycle? Even at 15 minutes, the signal-to-noise ratio behind it is ridiculously high. Seeing daily profits doesn’t actually withstand market volatility.
Third, most importantly, is your quantitative strategy actually making money? Which factor is driving the profits? How will you iterate and optimize when encountering similar market conditions next time? If you can’t even break down how the profits are made, then it’s not quantitative trading.
Real quantitative funds, during strategy validation, will run at least $10,000 for over three months before going live. 500u can’t even handle fee stress testing; it’s pure marketing.
In 2022, a grid bot with an annualized return of 300% suffered a 47% single-day drawdown on the day LUNA collapsed, and followers couldn’t even see the operation logs.
Real people losing money can at least review the trades, but with this kind of black-box “quantitative” trading, you don’t know where it went wrong. The signal teachers earn their referral fees and then leave happily.
@OKX成长学院
#NewbiesMustSee: Here is everything you need $BTC Bitcoin Magazine CEO: A packed venue is another signal that the bear market is nearing its end
On August 27, Bitcoin Magazine CEO David Bailey posted on X an observation about the market: the Bitcoin Asia 2026 conference was packed with people, which is another sign that the Bitcoin bear market is approaching its end.
This conference took place in Hong Kong and is the largest Bitcoin summit in Asia, expecting over 15,000 attendees from 125 countries. A large number of institutions, developers, and community participants showed up, with enthusiasm far exceeding previous expectations.
A two-layer rational analysis
✅ Optimistic logic
A typical characteristic of the end of a bear market: before the price enters a super bull market, industry confidence recovers first, and offline event enthusiasm warms up ahead.
The presence of many institutional representatives, corporate treasury heads, and developers at the venue indicates that funders and builders are willing to return for long-term planning, rather than only entering the market during bull runs to speculate on short-term trends. This is a side confirmation of sentiment warming.
⚠️ Pitfalls to watch out for
Historically, there is a well-known "conference indicator": a packed venue does not equal an immediate price increase. Often, during or after the conference, short-term pullbacks occur, which is "expectations being front-loaded."
Attendance enthusiasm is only an auxiliary sentiment signal, not definitive proof of a reversal. True bottom confirmation still requires hard indicators such as sustained ETF net inflows, on-chain whale holdings behavior, and macro liquidity turning points. One cannot judge the cycle's end based on a single conference.
Looking at the current market, BTC is still tugging around the 80,000 level, with PCE and Jackson Hole speeches remaining the biggest upcoming macro variables. The conference can boost the long-term narrative but is unlikely to directly change the short-term volatile pattern.
Summary: A packed venue adds to confidence recovery but should only be considered a reference signal. True bottom confirmation still requires price and capital data resonance verification.
#BTC #BitcoinAsia2026$BTC just completed a "lightning battle" — from the low of about $62,400 on August 15, it violently surged 23% within a week, once breaking through $81,000, marking the highest point since mid-May.
Then what? A slightly hot inflation report dropped, and the price gave back about $3,000 within hours.
As of today (August 27), BTC is oscillating between $78,500 and $79,000. It can't rise much, nor fall deeply.
Is this rally the horn of a bull market, or a bear trap?
Data from Vetle Lunde, head of research at K33 Research: On August 19, Bitcoin shorts were liquidated at $1.37 billion in a single day — nearly double the previous record of $757 million set in July 2021.
On August 21, another $739 million in shorts were liquidated.
Spot and perpetual contract trading volume surged 188% in one week.
In plain terms: a significant portion of this 23% rise was not "someone wanting to buy," but "shorts forced to buy."
This is not bulls attacking; this is bears surrendering.
After large-scale deleveraging, the nominal open interest of perpetual contracts has dropped to 284,000 BTC, the lowest level since May.
The funding rate has also returned to neutral.
What does this mean? The shorts that were going to blow up have already done so. The remaining shorts either have small positions or have long since exited.
Short squeezes are like pouring gasoline on a fire — once the gasoline is burned, how long can the fire keep burning?
Further rallies require genuine buying to take over, not just prices pushed up by shorts being forced to stop loss.
The question is: Has real buying arrived?
Last week, 13 US spot Bitcoin ETFs had a net inflow of $1.92 billion, the highest single-week record since October 2025.
The cumulative net inflow in August has reached $2.72 billion, the strongest monthly performance this year.
BlackRock's IBIT alone absorbed $1.3 billion.
$1.92 billion is a nice number. But the key question is — is this "chasing money" or "trend money"?
What's the difference? Chasing money rushes in after seeing prices rise and runs when the rise stalls. Trend money believes in the logic and is willing to endure volatility.
Today (August 27), BlackRock IBIT recorded another $200.8 million inflow. Fidelity's FBTC also saw $25.6 million inflow.
Money is still coming in, but the inflow pace has clearly slowed.
After tomorrow's options expiration, will this money continue to add positions or take profits?
Tomorrow, $6.4 billion in options expire — is $80,000 a "magnet" or a "ceiling"?
This is currently the biggest uncertainty in the market.
At 16:00 Beijing time on August 28, about 81,700 Bitcoin options on Deribit will expire, with a nominal value of about $6.44 billion.
Call options are about 44,639 contracts, puts about 37,061 contracts.
Key information:
The maximum pain point is near $68,000
But call option open interest is highly concentrated at strike prices of $75,000 and $80,000
Options with nominal value exceeding $500 million are within 5% of the current price
This means market makers hold a large number of hedging positions. Around expiration, they need to unwind these hedges — creating huge buying and selling pressure.
If the price can hold above $80,000, many call options become in-the-money, buyers profit, and market makers are forced to buy BTC to hedge — this accelerates the rally.
If the price falls below $75,000, call options become out-of-the-money, and market makers unwind hedges — this amplifies the decline.
The $68,000 maximum pain point is like a distant mirror, while $75,000–$80,000 is the real battlefield.
Is $80,000 a magnet or a ceiling? We'll find out tomorrow.
One more thing many people haven't noticed.
CryptoQuant data shows: after Bitcoin touched $80,000, long-term holders have taken profits significantly more than short-term holders.
Those "old hands" who bought low and held for months or even years are actively cashing out near $80,000.
This is not panic selling. This is rational people making rational choices.
Do you think they will sell at the bull market start or at the rebound top?
Putting all this together —
If:
ETF inflows continue (this week's data remains positive)
Options expiration passes smoothly (no large-scale hedge unwinding causing crashes)
Price holds above $78,000
→ Trend repair confirmed. This rally is supported by real buying, not just short covering.
If:
ETF inflows slow significantly or turn negative
Options expiration triggers large-scale selling pressure
Price falls below $74,000
→ The rebound phase ends. This was just a "fireworks show" amplified by short squeezes and macro news.
Many see the 23% rise and shout "bull return," see $80,000 and shout "new high."
But they don't see: $1.37 billion in short liquidations is unsustainable.
Shorts can't blow up $1.37 billion every day. One-time fuel can't burn a permanent flame.
A true bull market relies on sustained buying, sustained belief, and sustained capital inflow.
Not on shorts being forced to surrender.
What is the current market like?
Like an army that just won a battle — the enemy has retreated (shorts have blown up), but logistics (ETF funds) haven't caught up, and there's still a fortress ahead ($6.4 billion in options) waiting to be conquered.
Winning a battle doesn't mean winning the whole war.
After tomorrow's options expiration, the market will give an answer.
But until then, don't get carried away by the 23% rise, nor be scared by the $3,000 pullback.
$80,000 is not the end, it's the exam.
The exam has only one question: Is this rally a gift from the shorts, or a momentum built by the bulls? NVIDIA Exceeds Expectations, Software Revenue Begins to Materialize: AI Market Enters Second Phase
The most noteworthy aspect of NVIDIA's latest earnings report is no longer just how well its chips are selling.
Q2 revenue reached $96.22 billion, a 106% year-over-year increase, with data center revenue hitting $89 billion, both significantly surpassing market expectations; the company’s Q3 revenue guidance even reaches $108 billion. More importantly, the company expects revenue growth of about 70% to continue through fiscal year 2028.
This implies one thing:
The demand for AI computing power has not yet hit the market’s feared inflection point.
However, what I believe is truly worth focusing on is the AI industry’s shift from "selling shovels" to "realizing application value."
Phase One: Making money by selling GPUs
In recent years, the biggest certainty in AI has been very simple:
The larger the model → the higher the computing power demand → cloud providers buy GPUs → NVIDIA earns the most money.
So the market has always revolved around:
GPUs, HBM, servers, data centers, electricity.
This is why whenever NVIDIA’s performance exceeds expectations, the entire AI hardware supply chain gets revalued.
Now NVIDIA’s data center revenue per quarter is approaching $90 billion, and demand is not only coming from traditional large cloud providers but also expanding to AI labs, enterprises, and sovereign clients.
Phase Two: Software and applications begin to prove "AI can make money"
This is what truly deserves attention going forward.
If AI forever remains at:
Buying GPUs → Building data centers → Training models
Then the market will inevitably ask:
With so much capital expenditure, how much profit can it ultimately generate?
More and more software companies are now starting to realize AI revenue.
For example, Salesforce’s latest quarterly revenue reached $11.35 billion, with AI product-related annualized revenue already exceeding $1.5 billion.
This indicates an important change in the AI industry chain:
Computing power investment → AI services → Software subscriptions → Enterprise revenue → Enterprise profit
If this closed loop truly works, then the AI market will no longer be just a "capital expenditure story."
It will become a genuine productivity cycle.
Therefore, the significance of this NVIDIA earnings report is not just positive news for NVDA.
It actually answers the market’s biggest recent question:
Can the AI supercycle continue?
The answer currently remains:
At least from the demand side, no obvious inflection point has been seen.
NVIDIA even expects next fiscal year’s revenue growth to still reach 70%, significantly higher than the market’s previous expectation of about 44%.
But here we must also note a risk:
Strong demand does not necessarily mean the stock will rise indefinitely.
What the market really needs to verify now is:
Can AI revenue growth continue to outpace AI capital expenditure growth?
If enterprises truly start making money with AI, then capital expenditure can continue.
If it’s just cloud providers continuously investing and purchasing from each other without generating sufficient end-user revenue, then the market will sooner or later question AI valuations again.
—
An important signal for storage and AI hardware as well
The companies you’ve been following recently—SK Hynix, Samsung, SanDisk, AI memory—can all be placed within this industry chain.
NVIDIA’s continued rapid growth in data center revenue means:
Strong GPU demand → Strong HBM demand → Strong DRAM demand → Storage prices and profits supported.
On the other hand, NVIDIA has already mentioned tight memory supply and cost pressures, indicating the AI hardware supply chain is entering a phase of "strong demand, tight supply."
So what storage stocks really need to watch going forward is not just orders but:
Whether high demand can ultimately convert into sustained free cash flow and shareholder returns.
This also corresponds to your earlier focus on SK Hynix buybacks and Samsung shareholder returns.
—
My judgment
After this earnings report, I am more inclined to divide the AI market into three phases:
Phase One: Computing power demand explosion.
NVIDIA, SK Hynix, TSMC, etc., selling the shovels.
Phase Two: AI revenue realization.
Software, cloud services, and AI applications begin to generate real revenue.
Phase Three: Productivity realization.
Enterprise profit margins improve, and AI investments start producing real ROI.
The market is currently transitioning from phase one to phase two.
If software companies’ AI revenue continues to accelerate and NVIDIA maintains high growth, then the logic of the AI bull market will be more solid than a simple "chip bull market."
In short: What’s truly important about NVIDIA this time is not just another "earnings beat," but that computing power demand remains strong while the industry chain begins entering the revenue realization phase. GPUs prove "AI has buyers," while software revenue must prove "AI can really make money." If these two logics ultimately form a closed loop, the AI market could upgrade from a capital expenditure cycle to a true productivity cycle. $BTC #财报观察员：英伟达超预期，软件收入开始兑现 BTC has reached 80,000 again. This surge, from over 60,000, has risen quickly. In the past, I would have been a bit nervous, since in the crypto world, a sharp rally is normal for a drop later. But this time, there's a data point worth watching. During BTC's rise, the spot market's order depth didn't collapse significantly. To put it simply, the price wasn't pushed up by a few large orders; there were still people buying from below. External investors didn't hold the price back; Nvidia's earnings continued to beat expectations, and the AI sector remains hot. Even quantum computing, a much-discussed scary issue, is now being studied for early patching of BTC. So I won't rush to top just because of 80,000. If it really weakens, naturally people will rush to run around 80,000; But if the price can hold here and the bears can't push it down, then it's actually worth a closer look. Is 80,000 yuan the end of this rebound, or the starting point of the next rally?The recent ETF data is quite interesting: $BTC spot ETFs are gobbling up money every day, while $ETH is also seeing net inflows, but the amount per transaction is tiny compared to BTC.
To be honest, holding positions is really exhausting. But we have to see through the institutions' "little tricks": with the macro environment so chaotic, big money is also afraid of risk, so they put the bulk of their bets on BTC for stability, treating ETH more like a "small lottery ticket" to play with. It's not that ETH is bad, but institutions just don't dare to heavily invest in highly volatile assets right now.
This leads to a very frustrating market: BTC is holding firm upfront, so the overall market doesn't crash, but ETH can only keep fluctuating in place. Don't think that "ETH will definitely surge just because there's capital inflow"; the disparity in capital scale is the institutions' most genuine trump card. In this market, just hang in there and don't get shaken out.
#美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ #财报观察员：英伟达超预期，软件收入开始兑现 #BTC冲高回落，期权到期放大关口博弈 $BTC has been waiting for several days, and MicroStrategy hasn't disclosed its latest holdings this week. This old buddy might be up to something!
Usually, MicroStrategy publicly shares the company's Bitcoin holdings weekly, even if there are no transactions, they still provide updates.
What's intriguing is that after Bitcoin broke through 75,500 and he got out of the loss, no data has been disclosed since.
The last disclosure was on August 16, showing holdings of 840,447 coins at an average price of 75,385.
And when the coin price surged and MicroStrategy's account showed substantial profits, they chose not to disclose. I really don't know what he's up to.
This is very unusual.
In the past, when the price was rising, Saylor would have wanted the whole world to know he hadn't sold and even bought more to strengthen market confidence.
This time, right when MSCI plans to remove MicroStrategy from the index, he chose silence.
Unusual! Really unusual!
This guy isn't secretly selling coins, is he? 📊 $LAB Contract Liquidation Update (August 27)
The bulls monopolized control after the open but their leverage collapsed; total liquidations in 24 hours amounted to only $61,000, indicating a low-liquidity, ineffective market...
Time Total Liquidations Long Liquidations Short Liquidations
1 hour $395.28 $395.28 $0
4 hours $3,727.71 $3,722.49 $5.22
12 hours $11,800 $9,130.32 $2,643.93
24 hours $61,000 $58,000 $2,979.55
In 1 hour, bulls monopolized (shorts at 0) with a volume of $395.28, an ineffective scale; in 4 hours, bulls crushed with 713x leverage, volume surged to $3,700; in 12 hours, bull leverage sharply dropped to 3.45x, volume surged to $9,100; in 24 hours, bulls surged to 19.5x leverage, liquidations at $58,000 versus shorts at $3,000, totaling $61,000. The 12-hour liquidation accounted for only 19.3% of the 24-hour total, showing very low concentration, with bulls erupting again in the latter half of the 24 hours. Bull leverage rose from 3.45x to 19.5x in a V-shaped reversal, re-strengthening short squeeze momentum, but the total daily volume was only $61,000, indicating a low-liquidity, ineffective market. Leverage is recommended to be compressed to within 3x; this coin has very poor liquidity and is not suitable as a trading reference.
🔥 Market Indicator | August 27
Today's three hot topics point to the same theme: unresolved inflation stickiness, AI computing power king's report card, and Bitcoin oscillating at highs amid multiple catalysts—three forces converging in the same time window.
📊 Core PCE steady at 3.3%: The Jackson Hole speech by Fed Chair Walsh is the key market indicator
On August 26, the US July Core PCE Price Index year-over-year was 3.3%, unchanged from June; month-over-month 0.2%. Overall PCE year-over-year was 3.7%, above the expected 3.6%. Meanwhile, real personal consumption expenditure was nearly flat month-over-month, showing a clear cooling in consumer momentum.
Inflation stickiness remains while consumption cools—this data puts the Fed's September rate decision in a dilemma. The market expects about a 60% chance of no change and 40% chance of a rate hike in September.
The bigger focus is this Friday: Fed Chair Walsh will deliver his first keynote speech since taking office at the Jackson Hole Global Central Bank Symposium at 22:00 Beijing time on August 28. The July FOMC meeting saw three dissenting votes, exposing internal fractures; Walsh's speech is seen as a critical opportunity to restore Fed credibility.
🖥️ Nvidia Q2 revenue $96.2 billion: AI computing power “money printer” still accelerating
After market close on August 26, Nvidia reported better-than-expected earnings: Q2 revenue $96.221 billion, up 106% year-over-year; data center revenue $89 billion, up 117%, accounting for 92.5% of total revenue; GAAP net profit $59.688 billion; gross margin 75%.
The bigger surprise was the forward guidance—the company gave a performance target a year in advance for the first time, expecting fiscal 2028 revenue to grow about 70% more. After-hours stock price reversed from decline to rise over 4%. Demand for AI computing power continues to accelerate, with Nvidia proving that "burning money" is turning into "making money".
₿ BTC Pullback After Surge: Tug-of-war at the $80,000 level, options expiry amplifies volatility
Bitcoin briefly broke above $81,000 this Monday, hitting a three-month high, but then pulled back to hover around $78,000. This rally was driven by "devaluation trades" and ETF inflows—last week spot Bitcoin ETF net inflows were $1.92 billion.
The bigger test comes this Friday: Deribit will see about 81,700 Bitcoin options expire, with a notional value of about $6.44 billion. Call options are heavily concentrated at $75,000 and $80,000 strike prices, with the biggest pain point near $68,000. Coupled with Walsh's speech and inflation data catalysts, the $80,000 level is set for a decisive battle between bulls and bears.
💎 Summary
Three events paint the same picture: Core PCE steady at 3.3% proves inflation stickiness remains; Walsh's Jackson Hole speech will be the key indicator for September rate decisions; Nvidia's $96.2 billion revenue and 70% growth guidance prove AI computing demand is accelerating; Bitcoin pulled back after briefly testing $80,000, with $6.4 billion options expiry set to amplify the battle at this level. LAB contract liquidations totaled only $61,000 for the day, indicating a low-liquidity, ineffective market, sharply contrasting with the massive funds flowing into the three main themes—capital is accelerating concentration into top assets. As inflation data, central bank speeches, AI earnings, and crypto options converge in the same time window—the market awaits direction from Walsh. #美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？
#财报观察员：英伟达超预期，软件收入开始兑现
#BTC冲高回落，期权到期放大关口博弈 Today I didn't talk about any specific cryptocurrency, but first analyzed PCE and Nvidia, because in my view they respectively represent macroeconomics and AI, both influencing risk assets like Crypto: PCE reflects interest rates, determining funding costs; Nvidia reflects AI profitability, determining growth asset valuations.
If PCE is high and Nvidia is strong, the market may swing between high interest rates and high growth;
If PCE falls and Nvidia remains strong, risk assets will be more comfortable.
So from this round's results, AI fundamentals haven't collapsed for now, but valuations are already expensive. If this Crypto rally moves together with AI and liquidity, short-term volatility will be greater. Personally, I won't easily take heavy positions these days.一、$BICO 的异常市场状态：空头拥挤与资金费极端化 · 当前 $BICO 呈现明显的“空头挤压”雏形：做空人数众多，但价格拒绝下行，形成多空僵持。 · 资金费率已触及下限极值（-1%），意味着空头持仓者不仅面临价格不跌的亏损风险，还需持续支付高额持仓费用，时间成本急剧上升。 · 这种组合在量化策略中属于典型的“逼空”前兆——主力资金有意利用资金费机制消耗空方耐力，而非单纯依赖价格拉涨。 二、巨鲸操作实况：单向做多，浮盈滚仓，绝不提现 · 核心账户今日新增一笔 40 倍 BTC 多单，规模 50 枚 BTC，开仓均价 78,712 美元，当前已产生约 8,200 美元的小幅浮盈。 · ETH 仓位仍是盈利主力：25 倍杠杆持有 28,250 枚，均价 2,357 美元，浮盈稳定在百万美元级别，构成整体账户的安全垫。 · BTC 老仓位为当前最大拖累：40 倍杠杆持有 573 枚，均价 79,247 美元，仍处于小幅亏损状态，形成“左侧盈利供养右侧亏损”的资金循环。 · 另开 10 倍 HYPE 山寨小仓位，属于试探性土狗娱乐单，不影响主策略方向。 · 整体总仓位名义金额已超 1 亿美The brilliance of this trade lies in suppressing the rhythm of the "overheated data." After the PCE unexpectedly rose, the dollar strengthened, and rate hike pricing returned, $XAU gold was hammered overnight from around 4,680 down to 4,583. The 4,654.4 short position was essentially placed in the gap where sentiment shifted from "breaking through" to "taking profits," and the 100x leverage only amplified this macro revaluation into a doubled paper gain.
The logic is not a naked short: first, the Treasury's repurchase-driven currency depreciation trade pushed gold prices to a March high, then the PCE suppressed rate cut expectations, prompting bulls to take profits; the market focus then shifted to the Jackson Hole speech, and funds ahead of the data window were unwilling to pay for new highs. This short position capitalizes on the transitional phase of the "story turning a page," succeeding by riding the momentum without forcing it. $ETH
However, the 4,609 area is already the recovery zone after last night's sharp drop. If today's speech expectations repeatedly whip the market, a sharp spike rebound is very likely. The 100x leverage fears turning a "weak recovery" into a "false breakout position"; setting the exit line above cost means if it can't break through 4,650, take profits, if it breaks through, admit the mistake. Don't bet on direction during the data silence period. $BTC
#美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ 16 consecutive losses, with such perseverance, it's either losing everything or turning things around sooner or later 😂
A big bullish candle, a 20x short position of $38.07 million USD on $BTC by a whale got stopped out again, exiting after 60 hours with a loss of $288,000 USD; this is already his 16th failure since switching to short on 08.19, losing $5.25 million USD in nearly a month.
That long position was truly a fateful turning point...
0x004edcd40360e293e4cf260d2ebdf8c7076c1bb8#BTC surges then falls back, options expiration amplifies key level battles #US Core PCE flat from last month, how will the Jackson Hole speech set the tone? Good afternoon everyone
This PCE met expectations; inflation neither exploded nor signaled an early rate cut. US Treasury yields remain in high-level oscillation, representing a neutral macro environment, consistent with storage stocks. The crypto market has lost the strong catalyst from inflation, shifting the market to event- and fundamentals-driven.
$BTC BTC: Institutional funds will not make large moves based on this data, maintaining range-bound oscillation above 80000. The tail inflation risk is removed, avoiding a systemic sell-off, but lacking rate cut benefits to push new highs. Opportunity cost remains constrained by high US Treasury yields, with pricing focus shifting to ETF fund flows, US crypto policy, and Federal Reserve officials' speeches. Corresponding to storage leaders, beta is relatively lower, with strongest pullback resistance; main risk comes from on-exchange leverage liquidations.
$ETH ETH: The neutral interest rate environment continues to suppress the relative appeal of staking yields, unable to drive ETH/BTC ratio upward on macro factors alone. Provided the overall market holds steady, there is room to play L2 and regulatory narratives, but it is difficult to form an independent trend. If subsequent speeches release hawkish signals, the pullback will be larger than BTC, comparable to secondary storage assets, with moderate elasticity.
$SOL SOL: The PCE release only removes macro black swan risks, without bringing liquidity easing benefits. No incremental external hot money is entering; relying solely on on-exchange funds to play on-chain hotspots can only produce pulse-like moves. Once risk appetite contracts, it will be sold off first, with a decline significantly greater than BTC and ETH, comparable to high-volatility small-cap storage themes, with the highest beta.
Overall transmission logic: PCE changes market-wide risk appetite through US Treasury yields; crypto and storage stock funds share the same source, with highly consistent beta gradients. In a neutral environment, neither crypto nor storage sectors are dominated by inflation data; direction will be chosen based on Jackson Hole meeting, earnings reports, and industry supply-demand, with no single-sided large market moves.SanDisk $xSNDK annual increase of 524%, the strongest beta in storage
Closed at $1499 last night, up 1.26%, with a trading volume of $13.1 billion. But the real explosion is the annual line: from $237 at the end of last year to now, a 524% increase! The 52-week range is $47–$2354, with volatility that can be terrifying.
The logic is solid: NAND caught the AI super cycle, enterprise SSD and IDC demand have pushed prices sky-high. Institutions set a 12-month target price of $2125, implying a 43% upside, with 20 buys and only 1 sell. The company still has $15.5 billion in buyback capacity (spent $4.5 billion in Q4), truly supporting the price with real money.
Capital flow: trading volume has continuously expanded, with $20.6 billion traded on August 24 alone, turnover at 9.6%, intense chip exchange, and heated long-short battles. YTD up 572%, one of the strongest storage stocks this year.
My view: SNDK is a pure beta of storage prosperity, with elasticity even stronger than Hynix, and the most frightening volatility. $1499 has already retraced significantly from the high of $2354, making it cost-effective.
Strategy: small position allocation, strict stop loss, don’t get shaken out by single-day ±10% swings. Only suitable for those with strong nerves. Tokenized deposits and stablecoins may look similar on-chain, but their balance-sheet effects point in different directions. Deposits preserve bank funding; stablecoins gain utility by moving across wallets, platforms and chains. That portability is the advantage, yet instant transferability could also make bank funding more rate-sensitive.
The key signal is not an assumed $700B loss of deposits or loans. The Dallas Fed scenario describes roughly $700B less 10-year-equivalent risk capacity. If that pressure materializes, the contest with USDT and USDC may be shaped as much by bank credit economics as by payment technology. Not advice, just analysis.
#BankTokensVsStablecoins#黄金ETF大额吸金，避险资金如何重配
"Gold ETFs Pull in $6.4 Billion in a Single Week: After U.S. Debt Defense Fails, Safe-Haven Funds Are Using Gold as a Ballast"
A net inflow of a full $6.4 billion in a single week marks a ten-month high, with gold prices tugging around the $4600 mark while funds pour aggressively into gold ETFs.
Many think this is just short-term speculation, but a look at institutional holdings reveals this is a well-planned major asset reshuffle.
The total U.S. debt has surpassed $40 trillion, with long-term U.S. bonds experiencing volatility that outpaces tech stocks, rendering the classic 60/40 portfolio's safe-haven armor completely ineffective.
Large institutions, leveraging the liquidity-rich spot gold ETFs, have increased physical holdings by tens of tons in a single month, reallocating a physical safety cushion for trillion-dollar defensive funds.
Every intense turnover below $4600 records the real trajectory of global liquidity seeking a foundational credit anchor again. $BTC The brilliance of this trade lies in not gambling on news spikes, but rather betting on the combination of “ETF money flow + on-chain scarcity.” $ETH broke out from the long-dormant 1900 base in August, with the 2479.64 long position landing right on the first steep slope of capital repricing, delivering nearly double performance with just a hundredfold leverage twist.
The logic isn’t a naked long: that week, spot ETH ETF inflows hit the highest weekly peak of the year, dominated by top products like BlackRock; simultaneously, over 180,000 ETH flowed out of exchanges, whale addresses increased, and floating supply became scarce. This position translated “institutional return + supply tightening” into price language, entering around 2480 with the momentum, succeeding by riding the trend without forcing it.
However, around 2550 is a repeatedly tested upper shadow resistance zone, with heavy sell walls in the order book. The biggest risk for a hundredfold position is mistaking the trend for a perpetual motion machine; it’s recommended to firmly set a breakeven line, and if it can’t hold above 2530 for long, take profits in batches, leaving room for overbought cooling. $BTC $ZEC #美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ $BTC IS HOLDING FIRM — BUT ALTS NEED CONFIRMATION
$BTC is hovering around $79K after breaking above $80K and testing the $81K–$82K zone. Spot ETF flows remain an important support, with sustained inflows signaling institutional demand has not faded.
However, it is still too early to call this a full altcoin season. If $BTC stabilizes, dominance cools, and $ETH/$BTC continues strengthening, capital could rotate into $ETH, $SOL#PCEToJacksonHole #AIMonetizationBroadens #BTCOptionsExpiryTest $OKTA: US stock mapped token, daily trading volume 8–20 million, normal amplitude 2–4%, only fluctuates with US stocks, almost no impact from crypto market, controllable slippage.
$SPX/$CHIP: AI small-cap themes, daily trading volume 30–80 million and 12–45 million respectively, normal amplitude 7–14%, volatile during Nvidia earnings window, purely sentiment-driven pulses, no sustained trends.
$BSB/$GRASS: RWA and data sector small to mid-caps, daily trading volume 25–70 million and 8–22 million respectively, amplitude 6–13%, volume surges when hot, quickly shrinks during downturns, high risk of large holders dumping.
$BICO: Web3 mid-cap rotation coin, daily trading volume 200–580 million, amplitude 6–11%, very high turnover rate, relies on existing supply rotation, fast price changes, weak sustainability.
$TAO: AI leader with best liquidity, daily trading volume 90–200 million, amplitude 4–7%, tied to AI risk appetite, better downside resistance than small-cap AI coins.
$ZRO: Leading cross-chain token, daily trading volume 350–600 million, amplitude 5–9%, intense chip competition, frequent spikes, strong correlation with the overall market.
Summary: Liquidity tiers ZRO＞BICO＞TAO＞SPX＞BSB＞CHIP＞GRASS＞OKTA; all small-cap themes rely on existing supply rotation, pulses are easy but sustainability is difficult. There is a very interesting phenomenon in the US AI stock circle right now
In the past, buying AI stocks was like buying lottery tickets: first buy chips, then bet on the story, and whether it would make money was secondary—just wait for the price to rise first
But now it's different, the market has started to audit
NVIDIA continues to deliver better-than-expected results, demand for AI computing power remains strong, but what really makes me feel the market is changing is that the AI wind is shifting from chips to software and security
Salesforce's latest quarterly revenue reached $11.35 billion, up 11% year-over-year, and it raised its full-year guidance. Agentforce and Data 360 related businesses grew significantly, indicating that enterprises are beginning to truly pay for AI applications
CrowdStrike also delivered strong data, with quarterly revenue reaching $1.47 billion, up 26% year-over-year, and record new ARR. The deeper AI penetrates enterprises, the greater the security demand
Okta's situation is also worth noting, with quarterly revenue growth of 11%, continuing growth in remaining performance obligations, and more AI Agents. Enterprises' first concern may no longer be "how smart AI is," but "who exactly is this AI and what can it access"
So personally, I feel the AI market is entering its second phase
The first phase was whoever makes the chips gets the meat
The second phase is whoever can turn AI into orders, renewals, and cash flow is the one qualified to stay at the table
Next, Marvell's earnings report is also worth watching closely, because whether AI network connectivity can benefit simultaneously will determine if this rally is just a solo chip show or if the entire AI industry chain is starting to fully realize value
The real trend is becoming clearer and clearer
The market is no longer satisfied with just "we are deploying AI"
Now investors want to see how much revenue AI actually brings you
Companies that can tell a story may be valued higher
But only companies that can write AI into their financial reports are likely to go further
$BTC $ETH $ZEC
#财报观察员：英伟达超预期，软件收入开始兑现 Bitcoin NEVER bottomed above the ''Balanced Price.''
Current balanced price: $38,000.
$BTC Bitcoin dropping that low again seems increasingly unlikely, suggesting bear markets are becoming shallower.The whale that built a position in $ETH during the last bull market is suspected to have liquidated to stop losses, suffering a loss of 10.58 million USD after holding for over two years 🥹
Two addresses suspected to belong to the same whale/entity cumulatively deposited 6,503.69 ETH worth 15.94 million USD to #Binance about 2 hours ago; after this deposit to the exchange, the on-chain ETH is suspected to have been liquidated, with expected losses exceeding ten million.
▶︎ Address 0x034…F553A: Built position of 9,891 ETH at $3219.35 on 2024.02-06
▶︎ Address 0x908…8E7cB: Built position of 1,612.43 ETH at $2523.43 on 2024.06-08On Friday, about 81,700 BTC options on Deribit will expire, with a notional value of $6.4 billion.
There are more call options than put options, so the market is generally bullish. Positions are mainly concentrated at the $75,000 and $80,000 levels. Before expiration, market makers will repeatedly buy and sell spot to hedge, so the price tends to be pinned near these two levels, or in other words, once broken through, the volatility will be greater.
From a macro perspective, the U.S. Treasury is buying more long-term bonds, pushing yields down and weakening the dollar, so people are starting to buy BTC again as a hedge against depreciation. Spot ETFs have brought in over $2 billion this week, so the price is rising quickly, and institutions are still buying on the funding side. But when options expire, some will sell off part of their holdings first.
The medium-term macro environment is improving, and institutions are still entering the market. The uncertainty is where the market will go once the hedging is lifted after expiration. Will U.S. Treasury yields rise again? Will there be sudden geopolitical issues? The key is to watch around 4 PM on Friday when settlement occurs, and the following two days. #BTC冲高回落，期权到期放大关口博弈 Elon Musk is hyping again, this time with a $100 billion "Louisiana Starport" 🪐 But OKX $SPCX is currently around $139, still barely alive — Nvidia has taken the entire AI sector soaring, yet it remains steady as an old dog.
The reasons are simple:
1️⃣ The overhang of unlocked shares
On 8/6, 912 million shares unlock, and on 8/20 another 319 million shares unlock, selling pressure comes wave after wave, every rebound gets knocked back down.
2️⃣ Valuation is ridiculously high
Market cap is 1.8 trillion, P/S ratio as high as 71x, still losing money, all propped up by the dream of "Starship commercialization + Starlink + space AI." The dream is beautiful, but EPS is negative.
3️⃣ There are actually quite a few positives
$100 billion launch site, $1.6 billion + $6.5 billion space force orders, successful Starship V3 test launch at the end of July, the storyline is long enough to make a series.
Technical side: 138-140.5 is overhead resistance, 129.5-131.8 is close support, only a volume breakout above 140 will have a chance.
My play: don’t chase highs, wait for a pullback near 130 to enter, test with a light position, and run if it breaks down. This kind of stock is better watched from the sidelines — watch Musk shoot rockets into space while I slowly play with OKX 😏
#SpaceX首份财报超预期，解禁仍是关键变量 $xNVDA Let's talk about Nvidia's earnings report, honestly, it's a bit exaggerated!
For Q2 of fiscal year 2027 ending July 26, revenue was $96.221 billion, up 106% year-over-year and 18% quarter-over-quarter, exceeding analysts' expectations of $92.38 billion by a significant margin. Non-GAAP EPS was $2.22, up 120% year-over-year; data center business revenue was $89 billion, up 117% year-over-year, accounting for 92.5% of total revenue, with hyperscale customers contributing $48.7 billion. Cloud providers remain the main buyers for AI infrastructure.
The guidance is even more impressive, with Q3 revenue midpoint at $108 billion, nearly 90% year-over-year growth, above expectations. The most shocking is the fiscal year 2028 revenue growth guidance of about 70%, while the market consensus was only 45%, effectively raising expectations significantly. Vera Rubin is now in full production, with a revenue opportunity of $40 billion per gigawatt, expected to account for 20% of data center revenue in Q3. Amazon plans to deploy another 2 million GPUs.
Of course, there are concerns. Jensen Huang himself said supply bottlenecks will last at least until fiscal year 2028, and memory chips are in an extreme pricing environment. Rising component costs will drag down gross margins; adjusted gross margin for Q3 is expected to be 74%, down 1 point from 75% in Q2. Stock price-wise, it closed at 209.66 on August 26, down 1.59%, but after-hours earnings release pushed it above 218, up over 4%.
My judgment is that this is the strongest evidence that AI computing demand has not peaked, but valuation and expectations are very full, so think carefully about whether you're profiting from performance or sentiment before chasing the price up #新手必看：这里有你需要的一切 In this issue, I want to go through several strategies I've run.
Spot Grid: Automatic harvesting in a ranging market
The core is to automatically buy low and sell high within a preset range. My deepest experience over the years is one thing — grids only suit ranging markets. When BTC fluctuated between 70,000 and 80,000, I ran BTC/USDT grids. Newbies should not allocate more than 20% of total funds for the first run. AI recommended parameters can be referenced but should be fine-tuned based on your own recent market judgment.
Futures Grid: Leveraged ranging harvester
Same principle as spot grid but with leverage. Futures grid can go long, short, or neutral. Keep enough margin and don’t stubbornly hold the grid in a one-sided market.
Martingale: Advanced batch bottom-fishing strategy
The core is "averaging down after losses" — buy a batch every time the price drops by a certain percentage, buying more as it falls, then sell all at once on a rebound. It works well in a ranging downtrend but positions can exponentially expand in a one-sided crash. The rule is initial position no more than 5% of total funds, fixed scaling factor for adding positions, and only choose highly liquid pairs like BTC, ETH.
A few key takeaways
Strategy bots are not money printing machines; picking the right market is a hundred times more important than tweaking parameters. Newbies should start with AI strategies, get familiar, then manually adjust. No stop loss is just giving away money; the same applies to strategy trading. Don’t throw all funds into one strategy; diversify allocation — run grids with part, dollar-cost average with part. @OKX成长学院 @OKX星球 Q2超预期 盘后先跌3个点 然后弹到涨4到5个点 2028财年营收预期涨约70% 分析师之前才44% 2027财年全年营收指引从900亿直接干到1040亿 黄仁勋说实际需求增长已经超过70% 比指引还高 需求端还在加速$BTC $ETH 对BTC来说 英伟达财报是宏观情绪的关键变量 英伟达稳了 科技股就稳 资金就敢往风险资产里冲 反之如果英伟达崩了 整个AI叙事都会受到质疑 BTC也会跟着承压 现在英伟达用业绩和指引告诉你 AI需求没见顶 那BTC作为风险偏好放大器 就会继续受益 更直接的是 存储股是BTC情绪的放大器 英伟达芯片卖得越多 HBM和企业级SSD需求就越大 存储股稳了 科技股情绪就稳 BTC也更容易维持高位 但短期情绪和市场波动是两码事 超预期落地后先跌后涨说明市场已经提前消化了一部分预期 后面真正决定BTC方向的还是宏观数据 资金流向和ETF流入能不能持续 英伟达给赛道定了调 也给BTC撑了腰 但个股和市场还得自己走 别因为业绩好就闭眼冲 等关键位置确认再动手#美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ #财报观察员：英伟达超预期，软件收入开始兑现 #BTC【From 1.22 HYPE to Top 7 Long Positions, This Whale Added $24.21 Million in One Day】
Yesterday, 0x4e23…20c3 started going long on HYPE with a position of only 1.22 HYPE.
Today, the pace clearly accelerated: total added positions worth $29.6739 million, reduced positions worth $5.4668 million, net added positions $24.2072 million.
Currently, this address holds 295,300 HYPE long positions valued at $24.0627 million, with a cost basis of $81.5372, now ranking as the seventh largest long holder of Hyperliquid HYPE.
More notably: today this address actually had a net reduction of about $25.3683 million overall, including a net reduction of $22.8042 million in ETH and $15.4722 million in BTC.
This indicates a clear shift of capital focus towards HYPE.
Currently, there are 24 sell orders above HYPE, totaling 327,300 HYPE, approximately $34.1876 million, concentrated between $99.031 and $110.74. The order size even exceeds the current HYPE holdings and none are just position reductions.
All transactions by this address today realized a net profit and loss of +$33,800, with HYPE realizing a loss of $70,600, and the current HYPE long position showing a slight unrealized loss of $13,400 The cleaner signal today is not BTC's dip below $80,000, but the relative strength beneath it. With ETH up 1.21% and SOL up 4.02% while BTC slips 0.48%, risk appetite looks to be broadening rather than leaving crypto.
My stance is that this rotation can persist near term, but BTC still sets the ceiling for the wider market. Until it reclaims $80,000 with conviction, strength in higher-beta assets is tactical, not cexpansion.#PCEToJacksonHole #AIMonetizationBroadens #BTCOptionsExpiryTest 全网都在笑那个巨鲸低卖高买，我却在他身上看到了自己 你说，我们小散户真的比巨鲸更懂抄底吗？ 那个地址今天又上热搜了，之前2452美元割肉离场，亏了1200万美金，现在又花2463美元把2165个ETH买回来，绕了一大圈，钱没赚到，仓位还轻了。说实话，看到这种操作我反而安心了一点，原来大资金也会在恐慌里做蠢决定。 我自己手里20个ETH的空单还在扛着，浮亏4000多U，但至少我没在最低点割完再追高，这一点我还能有点小骄傲。 现在盘面有个细节值得注意，ETH在2460附近震荡，周线涨了17%，但24小时成交量反而缩了25%，价格还在，量能先跟不上了，这种背离通常是变盘前的小信号。2463是那头巨鲸的成本线，如果2500站不稳，我倾向于先回踩2400再谈方向。 山寨这边分化更明显。 - BEAT一天跌6%，一周快腰斩，解锁后的抛压还没消化完，现在的小反弹我理解成自救，不放量止跌之前，我不接飞刀。 - OKB回到111附近，单日跌3%，但周线还有8%的涨幅，趋势比大多数山寨硬气，就是量缩太快，过不了115大概率继续磨，想参与也得等回踩企稳。 - ZEC还是那个暴脾气，775附近，一周拉了40%$SOL has pushed from 98.12 to 101.92 in the past few days, with unrealized profits under 100x leverage soaring directly to 387%. At the end of August, this wave of the market saw SOL leverage ecological benefits and capital inflows, just hitting the breakout window precisely, making this trade accurately timed at the starting point.
Logically, this long position bets on the psychological game of SOL at the hundred-dollar integer level. Opening at 98.12 means buying at the support level, betting on the bulls holding their ground and the momentum pushing upward. The combination of volume and price along with a generally warm market atmosphere indeed increases the win rate significantly. $ETH
However, the current price has entered the previous trapped zone, with a large short-term deviation. Under high leverage, it is recommended to closely monitor market changes; once volume shrinks or the price falls below 101, prioritize protecting the principal and securing profits, which is more practical than anything else. $BTC #美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ ETF is still flowing in, but BTC is stuck at 80,000: Who is actually taking the risk in this rally?
First, let's look at the data already available:
$BTC around 79,100, up 1.38%; $ETH around 2,498, up 1.97%; $SOL around 102, up over 6%.
Yesterday's net inflow for spot ETFs: BTC about $232 million, ETH about $192 million, SOL about $9.14 million. Spot funds are indeed coming in, but prices haven't broken through yet, indicating that profit-taking above is absorbing the buying pressure.
On the contract side, I’m more focused on two things:
If funding rates quickly rise and open interest (OI) expands simultaneously, but spot trading volume doesn't keep up, this looks more like a short squeeze after crowded longs;
If ETFs continue to flow in, OI rises moderately, and trading volume expands in sync, that’s closer to a trend continuation.
In terms of trading:
BTC breaks and holds above 80,000 with volume, then watch 80,500—82,000; if it falls back below 78,000, first defend 77,500.
ETH recovers above 2,500, watch 2,530; if it breaks below 2,450, the catch-up rally logic pauses.
SOL holds 100, risk appetite remains; if it breaks below, be cautious as capital rotation may end.
So now, you can’t just chase longs because “ETF is buying.” Brothers, do you think this round is driven by spot buying or short covering?
#美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ #财报观察员：英伟达超预期，软件收入开始兑现 #BTC冲高回落，期权到期放大关口博弈 $xNVDA earnings report exploded. After-hours surged 4.71% yesterday, today is destined to be a big day for tech stocks.
Let's look at the numbers first: Q2 revenue $96.2 billion, EPS 2.22, gross margin 75%, all three exceeded expectations. The most aggressive is the Q3 guidance: $108 billion ±2%, significantly higher than market expectations. TTM revenue updated to $303 billion (+83%), net profit $192.9 billion (+123%).
NVIDIA tells the market with this earnings report: the AI infrastructure arms race shows no end in sight. It even fell 1.59% intraday yesterday to close at 209.66; those who reduced positions to hedge before the earnings report could only watch helplessly at the after-hours price of 219.53.
The reversal in the storage chain came even more sharply. $SNDK SanDisk closed at 1499 (+1.26%) yesterday, then rose another 3.72% after hours to 1555. SK Hynix rose 3.47% intraday today to 1,746,000 KRW, with Asian chip stocks rallying across the board.
Remember last week? Samsung plummeted 8.7%, and the fear of "NAND cycle peak" dragged the entire sector into a deep hole. A week later, NVIDIA's Q3 guidance directly disproved these fears; data centers need expansion, storage is a necessity, and SanDisk's Forward PE valuation of 7 may start to recover.
My judgment: when the US market opens today, NVDA is basically certain to gap up; the key is whether it can hold above 215 after the gap. For the storage chain, watch if SanDisk can reclaim 1600. Analysts' target price for Hynix is 3,160,000 KRW, with 80% upside potential. OpenAI's self-developed chip debuts, and what truly stings NVIDIA is not "replacement" but that customers are starting to calculate costs too precisely. For a company of OpenAI's scale, the most painful cost is not just training but the countless inferences made every day. If each response is a bit cheaper, with lower latency and less power consumption, multiplied by massive requests, it becomes a mountain of gold.
Therefore, even if Jalapeño, this self-developed inference chip, is not sold externally in the short term, it will change the psychological expectations of the AI industry chain: major clients do not want to be forever stuck with a single supplier. NVIDIA remains strong, but its customers are learning how to pay less "compute tax".
In the second half of AI, model capability is certainly important, but whoever can reduce the cost of each call is the one who can truly make AI a daily necessity
#OpenAI自研芯片亮相，推理成本成关键 The ETF has been buying continuously for seven days, so why is $ETH still hovering around $2450?
On August 25, the net inflow of ETH spot ETFs was about $180 million, with BlackRock contributing about $146 million.
Institutional funds are indeed entering the market, but the positive impact is on medium-term supply and demand, not to boost every momentum chaser on the same day.
I’d rather wait for $2400 to stabilize than rush to clash head-on with $2500.最近链上发生了一件挺罕见的事。 六个沉睡了十年以上的比特币钱包，在8月16日到26日这十天内陆续苏醒，合计转出了553.59枚BTC。按当时价格算，大约4015万美元。 跨越十五年的沉默。 这六个钱包的“年龄”都不小。最早的一个从2011年6月开始就没动过，整整沉睡了15.1年。2011年比特币是什么价格？大约14美元一枚。这批币从14美元涨到转移时的53.8万美元，回报率超过46万倍。 另一个2012年8月休眠的钱包，一口气转出了212枚BTC，价值约1366万美元。还有一个2014年12月的钱包，转出了150枚BTC。最新一笔是40枚BTC，流入了一家德国合规托管机构Boerse Stuttgart Digital。 这些地址有一个共同点，从创建到这次转移之间，整整十多年没有发生任何链上交易。它们穿越了比特币从几百美元到十几万美元的全部周期，在最高点没有卖，在暴跌时也没有动。然后在2026年8月，六个几乎同时醒了。 两个驱动力。 这类“远古钱包”集体苏醒，在比特币历史上并不多见。链上分析师普遍认为，这次集中异动背后有两个主要推手。 第一个是Coldcard硬件钱包的安全漏洞。 208.27 The next week will test whether this is a real or fake bull market!
From the K-line perspective, last week's breakout is no different from the early stages of previous bull markets, but the emotional background is very different.
1. Last week saw the highest short squeeze volume in history and the greed-fear index rose to 74, indicating that market sentiment has been ignited, whereas the true early stage of a bull market is often hesitant and silent.
2. The US stock index is at a historical high, whereas previous bull markets started when the US stock index was rising from a low point.
If BTC cannot break through 83000 within the next 1-2 weeks, the probability of a fake breakout is very high, meaning this is not the start of a bull market. Instead, it would be the death knell for the bulls, and after the shorts are wiped out, the slaughter will turn towards the bulls.Sharing a recently optimized quantitative strategy process.
Observation: Perpetual contracts that rapidly surge or drop in a short time go through a consolidation phase, during which many "doji" candlesticks appear across different timeframes. I wondered if quantitative methods could be used to profit from these "small volatility differences."
Trading pair: $TRUMP perpetual contract
Strategy timeframe: 5 minutes.
Logic: Profit from volatility differences by using the length of candlestick wicks.
Trigger condition: The first second of the 5-minute interval.
Order direction: Determined by comparing the lengths of the upper and lower wicks of the previous two 5-minute candlesticks.
Take profit price: 0.23%
(This is based on backtesting the past three days of trading data, showing positive and maximum profit.)
Handling if take profit is not triggered: Place a limit or market order in the last ten seconds of the 5-minute interval.
(Market and limit orders have different fees.)
Position size: 40
Leverage: 30x
Effectiveness: You can see from the historical positions in the image that the win rate is high, but losses are large. There were 7 successful take profit orders with a return rate of 0.91, while there were only 2 losing orders with a loss of 1.03, resulting in an overall loss of 0.12.
Summary: The overall execution of the strategy is quite good, with most trades hitting take profit. However, in cases of strong one-sided rises or falls, significant losses occur. The logic for determining order direction needs adjustment and optimization, or adjustments can be made from the stop loss side, take profit range, and order placement method (lower fee options are more suitable). Next, I will try $ETH or other altcoins.
#新手必看：这里有你需要的一切 @OKX成长学院 $OKTA surged 24% on positive Q2 earnings but then faced a -1% ultra-low funding rate. The core market conflict lies in whether the short squeeze momentum can withstand the overall adjustment pressure on the US tech sector.
The stock price quickly rose from $127 to $162, directly pricing in the better-than-expected earnings of $805 million in revenue and $116 million in net profit. The funding rate dropping to -1% indicates severe short position crowding in the derivatives market, with forced short covering being the main driving force behind the rally.
The first key factor influencing the subsequent trend is the sustainability of the short squeeze driven by the -1% funding rate. The second factor is the upward revision of the full-year guidance attracting spot capital. The third factor is valuation pressure from the pullback in memory chips and large-cap tech stocks.
The bullish scenario requires the price to hold above $160 and the funding rate to remain negative to sustain short squeeze buying. If spot volume follows through to break above $162, a new round of value re-rating will begin; conversely, if the funding rate quickly returns to zero, the upward short squeeze momentum will stall immediately.
The bearish scenario is based on profit-taking and sector-wide downward resonance. If the price breaks below the key $145 level, it will confirm that high-level chasing funds are trapped passively, and the market may then seek liquidity near the $135 support zone.
A signal that the bearish scenario fails is continuous volume expansion in the spot market with a strong hold above the previous high of $162, while a signal that the bullish scenario fails is multiple rejections near $160.4 accompanied by a sharp drop in volume.
In the next 24 hours to 7 days, focus on the quality of turnover around $160, the pace of recovery of the -1% funding rate, and the release of overall adjustment pressure in the tech sector.
#Strategy增发扩充现金，BTC配置节奏受关注 #银行链上支付两条路线：稳定币与代币化存款 #黄金ETF大额吸金，避险资金如何重配 $xSKHY Track risks first; don't buy blindly
Current price $164.24, 24h +3.75%, 7-day -1.43%.
1. The underlying tracking of this product is uncertain: Traditional xStocks (NVDAx, AAPLx) have a 1:1 ratio of 1 token to US stocks = 1 share; But SK Hynix common stock on KOSPI ≈ $1,200+ per share, while xSKHY is quoted at $164. The difference is 7-8 times, possibly due to ADR ratio + exchange rate adjustment. The specific mechanism varies by platform, and OKX may not disclose the full contract specifications.
2. The 7-day price fluctuation range is $128-170. Although it rebounded +3.75% today, it is still 6% short of the 175 level on 8/21. The trend is weak.
3. SK Hynix's Hong Kong fundamentals are solid: HBM holds 58% of the market, Q2 operating profit margin is 76%, and on August 27, the Korean session rose 3.55%; However, the memory sector experienced a correction in early August, and Morgan Stanley also warned that HBM is approaching its cycle high.
Trading strategy: If you already hold spot stocks, keep a close eye on the underlying logic. In practice, buying xSKHY is better than directly looking at SKHY ADR (HYSQ) or considering KORU, a 2x ETF alternative; For new investors, it's recommended to bypass this and buy US stocks directly—the channel is clearer.Q2营收 $96.2B（街估约 $92.2B，超约 4.3%），数据中心 $89B，毛利 75%。我把仓位锚在未定价段：FY28 指引约 +70%（街估约 +45%），企业侧 $40B 同比 +138%。软件收入官方未单列。BTC $78.9k，财报情绪我不追。 先给交易框架，不讲故事。 已定价：营收同比 +106%，数据中心同比 +117%。超预期成立，但幅度属于「可预期的 beat」——营收约超街估 4.3%，调整后EPS $2.22 vs $2.1（约超 5.7%）。 未充分定价：Q3 指引中值 $108B（街估约 $104B）；管理层谈到 FY28 营收仍可能增长约 70%，明显高于此前街估约 45% 一带，且明确是供应受限下的数字。 我的动作：把这份财报当风险偏好温度计升温，不把 BTC $78.9k 当加仓信号。 结构比总量更重要。超大规模云约 $48.7B（环比约 +13%）；企业/NeoCloud/主权AI（ACIE）约 $40.3B，同比 +138%，环比 +25%。 这意味着什么：需求不止困在几家hyperscaler，企业侧在贡献增量。对交易的含义是——AI 资本BTC breaks through 80,000, ETH holds above the 2,500 resistance level
The main driver of last night's rise was Nvidia's earnings beating expectations, which boosted global risk appetite and caused concentrated short squeeze in contracts. This is an emotion + leverage pulse market, not sustained accumulation by spot main forces.
BTC (80,000 level): Short-term momentum supports a push to 80,000-81,500, but the probability of a one-time effective hold above this level is low. There is heavy trapped position and swing profit-taking pressure above 80,000. This round of rise lacks spot volume and is mainly driven by contracts. Without continuous net inflows from ETFs and spot volume following, it will likely repeatedly spike up and fall back, mainly digesting profits through high-level oscillation.
ETH (2,500 resistance): Holding above 2,500 is much harder than BTC breaking 80,000. ETH spot base is thin and has high beta volatility; 2,480-2,550 is a strong resistance trapped zone. Relying only on emotional pulses cannot sustain a hold; it must depend on BTC stabilizing and continuous inflows from ETH ETFs and spot volume. Otherwise, after a spike, it is very likely to fall back to oscillate between 2,280-2,450.
Summary: In the short term, this is a market of repeated tests of resistance levels. Pulses are easy, but holding steady is difficult. Without spot capital follow-through, there is no sustained breakthrough.
$BTC $ETH $OKB
#美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？
#财报观察员：英伟达超预期，软件收入开始兑现
#BTC冲高回落，期权到期放大关口博弈 Can BTC break through 80,000 and can ETH hold above 2,500?
Last night's rally was driven by Nvidia's earnings beating expectations, which boosted global risk appetite, plus short squeeze in contracts. The spot main force did not massively increase positions overnight; this is an event-driven rebound. Both 80,000 and 2,500 are strong resistance levels, and breaking through and holding above them requires confirmation from spot funds.
1. Bitcoin BTC: Analysis of the 80,000 level
Bullish conditions (can effectively break through 80,000):
1. BTC-ETF maintains continuous large net inflows, institutional funds keep entering, and spot trading volume expands simultaneously, not relying solely on contract volume.
2. The 77,500-78,000 support zone holds without a volume-driven plunge; long-term on-chain whales continue to lock positions without large-scale transfers to exchanges for profit-taking.
3. The US stock AI sector remains strong, US Treasury yields do not rebound rapidly, and macro liquidity expectations remain intact.
Bearish constraints (hard to hold above 80,000):
1. There is a large accumulation of historical trapped positions between 80,000-81,500, with heavy profit-taking pressure from swing whales at high levels; previous attempts to reach this range have repeatedly fallen back.
2. Much of the latter half of this rally came from short covering and short squeezes; if short positions have been mostly cleared, lacking new contract drivers, it is difficult to sustain the rally relying only on short-term sentiment.
3. Daily indicators have entered overbought territory with momentum divergence; if only contracts show volume increase but spot does not keep up, a sell-the-fact pullback after the rally is likely.
• Key support: 77,500-78,000; strong support at 75,000 where spot main force absorbs.
• Key resistance: 80,000; strong resistance at 81,500-82,800.
Current assessment: There is short-term momentum to challenge 80,000, but the probability of a direct and effective hold above is low. More likely is repeated testing of the 80,000 level with wide-range high-level oscillation to digest profits.
2. Ethereum ETH: Analysis of the 2,500 resistance level
ETH beta is much higher than BTC, with a thinner spot base. The 2,480-2,550 range is a heavy resistance zone, and holding above 2,500 is more difficult than BTC breaking 80,000.
Bullish conditions (holding above 2,500):
1. ETH-ETF continues to maintain net inflows, not just single-day pulse inflows; spot trading volume expands.
2. BTC holds above 77,500, and the overall market environment does not weaken; DeFi does not experience large-scale collateral liquidations.
3. Existing funds continuously rotate into ETH, and market risk appetite remains high.
Bearish constraints (hard to hold 2,500):
1. There is a large amount of historical trapped positions between 2,480-2,550. After previously reaching 2,550, swing whales have transferred large amounts to exchanges to take profits, creating heavy selling pressure.
2. ETH ETF size is much smaller than BTC, spot buying depth is insufficient, and similar gains rely more on contract leverage; once leveraged funds withdraw, the pullback speed will be faster than BTC.
3. Whenever BTC pulls back, ETH's pullback magnitude significantly amplifies, making it difficult to independently hold the 2,500 level.
• Key absorption zone: 2,200-2,280 (spot main force key buying area).
• Resistance zone: 2,480-2,550.
Current assessment: Short-term pulses can touch 2,500, but sustaining above is difficult; in most cases, rallies encounter profit-taking pressure and fall back to oscillate between 2,280-2,450.
3. Current status of spot main force and contract funds
1. Spot institutional ETFs: There were inflows after earnings, but no explosive large-scale buying; institutions tend not to chase high pulses but prefer to buy on dips.
2. On-chain whales diverge: Long-term whales lock positions; swing whales near 80,000 (BTC) and above 2,480 (ETH) have profit-taking intentions.
3. Contracts: Last night's rally was largely driven by short stop-losses; if no new short positions accumulate, the short squeeze momentum will weaken.
4. Four confirmation signals to watch closely
1. ETF funds: Whether BTC and ETH ETFs have continuous multi-day net inflows, not just single-day pulses followed by immediate declines.
2. Trading volume: During rallies, spot trading volume expands simultaneously, not just contract volume.
3. On-chain signals: Whether large holders transfer large amounts to exchanges to sell.
4. Support defense: BTC must not effectively break below 77,500; ETH must not break below 2,280.
5. Three scenario simulations
1. Scenario 1 (highest probability): High-level oscillation with repeated pressure tests. BTC repeatedly tests 80,000, ETH pulses touch 2,500 but cannot sustain, oscillating within the range to digest profits.
2. Scenario 2 (low probability bullish): Spot funds take over, ETFs continue inflows, volume expands and hold above resistance, opening a new upward phase.
3. Scenario 3 (low probability bearish): Spot buying exhausts, volume breaks key support, entering a mid-level pullback; BTC falls back to 73,000-75,000, ETH falls back to 2,200-2,280 absorption zone.
Summary in one sentence
Last night's rally was driven by risk appetite and contract short squeeze. BTC has the ability to intraday challenge 80,000, but effective one-time hold requires spot fund relay, with a high probability of repeated high-level oscillation; ETH can pulse to 2,500 easily, but holding above 2,500 is more difficult and strongly linked to BTC. Rallies driven only by sentiment and leverage are very prone to pullbacks after highs.
$BTC $ETH $OKB
#美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？
#财报观察员：英伟达超预期，软件收入开始兑现
#BTC冲高回落，期权到期放大关口博弈 Consistent rhythm brings consistent gains🔥
Maintain a steady trading pace, recently successfully closing multiple trades.
Reject emotional trading, only engage in markets you understand. $BTC $ETH #美国核心PCE持平上月，沃什杰克逊霍尔讲话如何定调？ $BTC $ETH