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This is freaking crazy
Someone opened a $BTC short position worth $50,924,000 with 40x leverage.
They are only $163 away from liquidation.Storage's top three are jumping around like knockoffs, while SPCX alone maintains an orderly "fall and rebound" rhythm
📊 Market Characteristics
· Rocket SPCX: Stable trend, clear rhythm of decline and rebound, trend is predictable.
· SanDisk, Micron, Hynix: "Knockoff-like" movements, jumping up and down, inconsistent capital direction, high volatility.
✅ Individual Advantages
· SPCX Advantage: Orderly rebound after unexpected unlocking, stable price trend, suitable for timing the rhythm.
· Top three storage advantages: Frequent trading opportunities, daily volatility of 5%-10%, both long and short positions have room to recover costs.
⚠️ Individual Risks
· SPCX Risk: Prone to one-sided trends, high risk of being trapped if the trend reverses.
· Top three storage risks: Extremely high short-term volatility, requires strong risk tolerance.
📉 Industry Fundamentals Assessment
· AI storage hype has passed: low holding value, not cost-effective for long-term investment.
· Industry difficulties: huge investment, low returns, fierce peer competition, technology nearing bottleneck.
· Growth ceiling: difficult to exceed 30% in the short term.
🚀 In-depth Analysis of Rocket SPCX
· Also in the AI sector but suffers the most losses, supported only by the Starship project.
· First bottom after IPO, stopped falling and rebounded over 40%.
· Core forecast: rebound unlikely to fully break 150, currently expected to top and fall near 125, then undergo a second rebound to build momentum before seeking a breakthrough.
📌 Strategy Summary
SPCX follows trend rhythm, beware of one-sided moves; storage stocks are for short-term swings, avoid prolonged battles. AI storage wave has overall passed, take profits when possible, not suitable for long-term holding.
$SNDK $MU $SKHYNIX $SPCX Investing $100 per month, with regular investment since 2022, the total cost has dropped to about $5,600. The same strategy, the same amount of money, but the result is like four forked paths: TRX stands far behind, while ADA is mired in a quagmire. This is the harshest truth about dollar-cost averaging—it only buys in on time, but never decides what to buy for you. TRX's strength is no accident. While most people were still chasing hot narratives, TRX managed to carve out an independent rally in the bear market thanks to its stable low-fee ecosystem and ongoing deflationary mechanisms. At the same $100 per month, while others are struggling to break even, it has already delivered results far exceeding its costs. What does this indicate? The market always rewards assets with solid fundamentals and genuine capital flows, even if they are not in the spotlight. BTC, XRP, and SOL have shown "steady progress." BTC, as the anchor of the crypto market, essentially uses regular averaging to buy long-term β of the entire industry, and this logic never fails. XRP, on the other hand, is a valuation recovery after legal risks have been cleared, with each round of downside being a repricing of funds. SOL has supported its fundamentals through ecosystem recovery and capital inflows; although it is volatile, its direction is correct. Their common features are: high institutional recognition, solid consensus foundation, and solid downside support. These three types of dollar-cost averaging earn the certainty of returns brought by time. The real drags are ETH and ADA. ETH's slight loss reflects the ongoing diversion of mainchain gas fee revenue after the rise of Layer 2 networks, prompting the market to reassess its value anchorageFundamental Research Report $OP / Optimism (L2/Sidechain) $3.20
Essentially: Optimism ($OP) overall score 54/100, rating Narrative over execution. Breaking down the three layers, the company team has cash reserves, the protocol network shows signs of paid usage, and token value capture has been realized.
Project overview: Optimism (token $OP), L2/sidechain sector. Focuses on OP Stack L2 ecosystem. Competitors include ARB, ETH. Traditional enterprise collaboration relies on cloud servers and contract reconciliation; during high concurrency, Gas spikes, TPS limits, and frequent cross-chain bridge security incidents occur. Public chains use a unified state machine for trustless settlement, reducing reconciliation costs. Customer unit price $50-500/month, requiring USDC or fiat settlement. Narrative-driven sector, usage drops 60-80% in bear markets. Positioned as an end-to-end vertical platform. Product implementation: protocol layer officially operational, on-chain dashboard shows protocol fees accumulating, with evidence of paid usage. Latest version not found, 60 valid commits in the last 90 days.
User metrics: address MAU not disclosed, DAU not disclosed, 24h transaction volume $80.00M, TVL not found. Wallet addresses do not equal unique monthly active users; large addresses holding concentrated positions may overestimate real user count. Revenue side: user fees undisclosed, supplier revenue about 80-90% of user fees (to LPs and nodes), protocol treasury income $2.00M, token holder buyback and burn annualized no burn mechanism. 24h transaction volume is business flow, not revenue. Company profit does not equal protocol profit, protocol profit does not equal token holder profit. Code side: 60 valid commits in 90 days, 25 active contributors, latest version not found. GitHub is A-level evidence for direct verification. Investment background: company equity financing seen on PitchBook/Crunchbase (A-level), token private and public sales seen in whitepaper, release schedule, and on-chain unlock contracts (A-level), market makers and ecosystem grants are B-level and do not represent long-term VC holdings, technical integration seen via API/SDK evidence (B-level), strategic partnerships and logo walls are D-level. NVIDIA GPU usage does not equal NVIDIA investment, exchange listings do not equal exchange strategic investment.
Token side: total supply 1,300,000,000, circulating 950,000,000 (73.1%), FDV $4.20B, next unlock 2026-Q4 (3.50% of circulating +), no clear annualized buyback and burn. Must buy tokens to use product? Yes, strong value capture (Gas/staking/service access). Compared with peers (uniform criteria, no cross-sector comparison): Circulating market cap: Optimism $3.00B, ARB undisclosed, ETH undisclosed. FDV: Optimism $4.20B, ARB undisclosed, ETH undisclosed. Annual revenue: Optimism $2.00M, ARB undisclosed, ETH undisclosed. Monthly active addresses or users: Optimism undisclosed, ARB undisclosed, ETH undisclosed. Figures based on public data snapshots; missing data supplemented by official reports or industry standards. Valuation: circulating market cap $3.00B, FDV $4.20B, P/S 1500.0x, FDV divided by revenue 2100.0x. Pessimistic view discounts $3.00B by 50-70%, neutral range oscillates, optimistic view doubles revenue, burn implemented, enterprise clients onboard, FDV P/S aligns with top projects. Summary: fundamentals solid (score 54/100). Token value capture realized (buyback/burn/Gas). Circulating market cap relatively expensive compared to fundamentals, overleveraged expectations, FDV moderate. Potential risks: short-term large unlock sell-off, protocol revenue long-term zero, token demand relying only on incentives (usage collapses if incentives stop). Ongoing monitoring: weekly protocol fees, burn amount, active address retention, TVL/loan balances, GitHub version releases. Information sources are public, logic self-developed, not investment advice. Data deviation over 30% requires reassessment.
End of report, welcome to discuss.
#FundamentalResearchReport #Crypto #Research #OKXOrbit#本周三CPI公布，9月加息定价会改写吗？ Everyone, the real highlight is tomorrow night—the US July CPI data.
After the nonfarm payrolls surprise, the market has repriced the September rate hike expectations. Polymarket shows about a 63% chance of no hike, Kalshi about 65%, and CME FedWatch is in the 55.6% to 44.4% range. But the drop in rate hike expectations relies on one employment data point, not inflation data. CPI is the real card that will decide how September will go.
The market expects the overall CPI annual rate to drop from 3.5% to 3.4%, and the core CPI annual rate from 2.6% to 2.5%. Core service inflation may still be sticky, with rents, insurance, and others still rising, making the numbers possibly harder to suppress than expected.
For the crypto community, tomorrow night's data is as important as the Fed's statement. If CPI is lower than expected, the probability of a September rate hike will further decline, the dollar will weaken, liquidity expectations will improve, which is bullish for BTC. If CPI is higher than expected, the optimism brought by the nonfarm payrolls will be withdrawn, rate hike expectations will rise again, and BTC may face pressure.
The operation at this point is simple: don't heavily bet on direction before the data comes out. CPI's verdict is more reliable than any analysis; wait for the data to land before deciding the next phase. What do you all think about tomorrow night's direction? Let's discuss in the comments. Wishing everyone smooth trading tonight. The vote on the US crypto market structure bill CLARITY has been postponed until the Senate reconvenes in mid-September. At the last moment before the August recess, Thune only completed the procedural motion.
Passing requires 60 votes, that is, all 50 Republicans plus at least 8 Democrats. The Democrats' sticking point: government officials and their families must not profit from crypto projects—directly targeting the Trump family’s over $1.4 billion crypto income last year.
On the other side, Trump Media has terminated its CRO corporate treasury plan with Crypto.com. Regulatory uncertainty plus political controversy have started to dampen the "president coin" narrative.
Do you think CLARITY will pass in September? What are the chances? Leave your prediction in the comments.
#本周三CPI公布，9月加息定价会改写吗？ This is a major development for the AI infrastructure narrative.
The key takeaway is that NVIDIA is effectively helping turn AI compute into a financeable infrastructure asset. If the announced platform can mobilize $500B+ of third-party capital, the implications could extend far beyond NVIDIA itself:
🏗️ AI infrastructure: More capital for data centers, power, networking, and compute capacity.
🏦 Institutional participation: Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR bring enormous financing capacity.
⚡ “AI factories”: Jensen Huang’s framing suggests compute is increasingly being treated like critical infrastructure rather than simply hardware.
💰 Capital cycle: Large-scale financing could accelerate AI infrastructure deployment and potentially create opportunities across the broader AI supply chain.
📈 Market implication: The AI boom may increasingly become a capital-intensive infrastructure investment cycle, rather than just a semiconductor story.
The most interesting part is the shift in mindset: Wall Street isn't just investing in AI companies—it is increasingly preparing to finance the physical infrastructure required to run AI at massive scale.BTC & ETH ETF Inflows Return: Institutions Are Buying — But Fed & Hormuz Hold the Key
The crypto market is entering a critical macro window. Institutional capital is returning, with U.S. spot Bitcoin and Ethereum ETFs attracting roughly $1.1 billion in combined net inflows over the past week. Yet $BTC and $ETH remain volatile as investors await the next catalyst.
The key question is whether ETF demand can overcome macro pressure.
All eyes are on U.S. CPI and the Federal Reserve. Softer inflation could strengthen expectations for Fed easing, lower yields and renewed risk appetite—conditions that would favor $BTC and $ETH.
But another major variable is the Strait of Hormuz.
Uncertainty over its reopening has pushed oil prices higher, reviving inflation concerns. Oil surged around 5% amid renewed uncertainty over U.S.-Iran negotiations.
This creates a critical macro battle:
ETF inflows = institutional demand.
Softer CPI = potential Fed easing.
Higher oil from Hormuz = renewed inflation risk.
If CPI comes in softer while oil pressure eases, global liquidity could improve. $BTC may benefit first, followed by $ETH as institutional adoption, staking and tokenization expand.
Beyond the majors, $SOL remains a key asset if risk appetite returns, while $OKB could benefit from stronger exchange activity and recovering liquidity.
The market is not simply waiting for a breakout. It is waiting for confirmation that macro conditions are turning supportive.
A dovish Fed outlook + sustained ETF inflows + easing Hormuz tensions could create a powerful setup for the next crypto expansion.
But hotter CPI + higher oil + geopolitical uncertainty could keep investors defensive.
For now, the most important signal may not be today's price.
It is where institutional capital is positioning before the next macro catalyst.
If you find these insights useful, follow me to keep tracking, analyzing and discussing the hottest developments across crypto and Wall Street.
#BTCETHETFFlowsDiverge
#HormuzDealUnresolved
#CPIToResetFedBets
$BTC
$ETH
$SOL 500 billion vs 20 billion! Understanding the harsh truth of AI's second half through financing paths 📉📈
Both are building AI infrastructure, so why is the treatment of Nvidia and Intel worlds apart? The information in this chart is worth careful consideration for all tech stock investors.
Core difference breakdown:
✅ Nvidia (NVDA): The orchestrator
Action: Partnered with BlackRock and Goldman Sachs to establish a financing platform.
Essence: Asset-light operation + financial leverage. It’s no longer just a GPU seller; it’s becoming the "central bank" of the AI era. By empowering customers (lending money to them), it locks in future orders. This is a long-term double positive for the stock price (performance + valuation uplift).
⚠️ Intel (INTC): The disruptor
Action: Issued common stock to raise $20 billion.
Essence: Heavy asset gamble. This is a bet using shareholders’ money on future advanced process technology. Although strong subscription shows institutions are still willing to give it a chance, it also means huge capital expenditure pressure. If the process technology lags in the next two to three years, this $20 billion will become a heavy burden.
Conclusion:
The market is repricing "financing capability." In this AI money-eating beast game, Nvidia is making money with other people’s money, while Intel is emptying its coffers to survive.
Friends holding these two stocks, your strategies may need to diverge. #AI基建融资升温，英伟达英特尔路径分化 Tesla 2026 Q2 delivered a "highest revenue ever + nearly worst operating quality ever" earnings report. Revenue was $28.24 billion (+26%, record), but operating profit was $398 million (-57%), operating margin 1.4% (4.1% same period last year), free cash flow -$1.09 billion (first quarterly cash burn since early 2024). More notably, the H1 panorama: H1 2026 revenue $50.6 billion (+21%), operating profit $1.34 billion (vs $1.32 billion last year), net profit $1.59 billion (vs $1.58 billion last year) — 21% revenue growth resulted in 0% profit growth. $TSLA Anthropic dropped $9 billion to buy computing power from Riot, BTC miners might have to switch careers to become AI contractors — this is a bigger focus than the market's minor fluctuations.
BTC is quiet this hour: 64,071, 24h -1.86%, volume shrunk by -87.8%, fear index stuck at 29 in Fear, a typical zombie market.
The real dark thunder is in GRVT: 24h down -16.6%, OKX's biggest loser, a perp DEX token that crashed suddenly, unrelated to stagnant market conditions, it's its own problem.
Miners' logic on taking AI orders is mixed: the good side is multiple income streams and less forced BTC selling to cover electricity; the bad side is AI giants entering the field, competing for electricity and GPUs, increasing miners' costs.
One takeaway: don’t just watch BTC price, watch mining companies' "computing power transformation" progress — whoever really lands AI orders will have lighter selling pressure, this is a new supply-side variable.
With AI giants buying mining machines and computing power themselves, is BTC gaining a new financial backer or a new competitor for electricity? Comment with your judgment (shallow comments hidden, only reasoned ones prioritized).
— On-chain veteran doctor · Hourly pulse check · 2026081116 · Computing power variable
Crypto assets are high risk, this article is not investment advice, purely personal opinion.
#OKXPlanet $BTC #AIComputingPower #MinerNarrative $SNDK $SKHY $SAMSUNG #闪迪8月13日投资者日临近，财报分歧待解
$8.9B revenue, profit up 135x, stock price down 47% — Is SanDisk's Investor Day a lifeline or another blow?
Quarterly revenue $8.965B, up 372% year-over-year.
Adjusted EPS $39.25, 135 times last year's $0.29.
Gross margin 84.6%.
Eight long-term agreements lock in $93.9B guaranteed minimum revenue.
$14B stock buyback plan.
And then?
The day after the earnings release, intraday drop exceeded 13%.
As of August 10 close, SanDisk shares at $1238 — down 47% from the June all-time high of $2354.
The better the performance, the harder the fall.
Sound familiar?
"Didn't you say AI storage demand is exploding?"
"Didn't you say NAND is in short supply?"
"Didn't you say data center business grew 1298% year-over-year?"
The market says: I know. But I don't care anymore.
Breaking down the earnings, where's the problem?
First, the quality of earnings is questionable.
SanDisk management admits — of the 51% quarter-over-quarter revenue increase, only one-third came from shipment volume growth; the remaining two-thirds came entirely from NAND price hikes.
In other words, this growth is not demand-driven, it's price-driven.
How long can price hikes last? TrendForce data shows Q2 NAND contract prices rose 70%-75% quarter-over-quarter, but Q3 increases have sharply dropped to about 20%.
When the price hike wave recedes, who’s left exposed?
Second, the consumer business collapsed.
Data center business was indeed strong — $2.977B, beating expectations. But consumer business only $556M, 36% below the market expectation of $874M, down 32% year-over-year.
On one side, AI customers are ordering wildly; on the other, regular consumers can't keep up.
Two worlds, one company.
"What about the long-term agreements? Isn't $93.9B guaranteed minimum revenue locked in?"
Correct. Eight NBM long-term agreements cover over 50% of supply in fiscal 2027 and about two-thirds in fiscal 2028. At guaranteed minimum prices, all contracts can bring at least $93.9B revenue.
But how did the market react?
It fell.
Why?
Because the long-term contracts lock volume, not price. If NAND prices halve next year, no matter how big the guaranteed revenue number is, actual profits will shrink significantly.
The market has never worried about whether SanDisk can sell its products.
The market worries whether SanDisk can sell at these prices.
This is the significance of the August 13 Investor Day.
CEO David Goeckeler and CFO Luis Visoso will personally take the stage, spending hours clarifying three things:
First, High Bandwidth Flash (HBF) — when will it be commercialized?
On August 4, SanDisk and SK Hynix jointly released the world's first HBF technical specification. HBF is positioned as a new storage tier between HBM and SSD, with single-chip capacity up to 512GB. This is SanDisk's biggest card — if HBF becomes the standard storage tier for AI inference, SanDisk can transform from a "NAND seller" to a "core supplier of AI infrastructure."
Second, will NAND prices stabilize?
SanDisk previously forecasted the global NAND market to exceed $300B in 2026 and approach $500B in 2027. But Q3 price increases have slowed significantly. Management needs to answer a tough question: with the price hike bonus over, where is the next growth point?
Third, how will the $14B buyback be used?
Is it to support the stock price, or do they truly believe the stock is undervalued?
To be honest —
SanDisk is in a very awkward position right now.
The bulls say: AI storage demand is just beginning, HBF is the next super trend, long-term contracts lock in four years of revenue, and the stock price halving from the peak is a golden opportunity.
The bears say: the beta from price hikes is over, consumer business is collapsing, NAND cycle turning point has arrived, and the current price is still too high.
Both sides have valid points.
But the market only cares about one thing: can management deliver something at Investor Day that silences the shorts?
Finally, here’s a framework for you to think about —
If you’re waiting for Investor Day, what are you waiting for?
Not for the stock price to rise or fall. But for these three signals:
Signal 1: Does HBF commercialization timeline exceed expectations? — If management says "mass production next year," that’s a nuclear-level positive. If it’s "still exploring," the stock will keep falling.
Signal 2: Is the long-term NAND price guidance revised upward? — If management dares to say "prices will hold steady in 2027," that’s confidence. If vague, that’s insecurity.
Signal 3: Are there new mega customers signed? — Management said on the call "largest customer added more demand after signing." If another giant name is revealed at Investor Day, sentiment will completely reverse.
These three signals are more important than any candlestick.
August 13, 9 AM Eastern Time.
Is it a lifeline or another blow?
We’ll see then.
🔥#财报观察员：AI infrastructure earnings reports take the stage one after another. This week, AI infrastructure delivered intensive results with explosive numbers, but stock prices followed a different path.
NVIDIA's Q1 revenue was 81.6 billion, with data center revenue at 75.2 billion accounting for 92%. It just partnered with Apollo, Blackstone, and four other major institutions to plan a $500 billion AI infrastructure financing. Broadcom's Q2 revenue was 22.2 billion, with AI semiconductor revenue up 143% year-over-year. AMD's revenue was 11.5 billion, with data center revenue doubling to 6.7 billion, hitting a historic high, yet its stock fell 9% after hours. Micron's Q3 revenue was 41.5 billion, up 346% year-over-year, with a gross margin reaching 84.6%, but its stock price retreated from the peak. Intel's Q2 results exceeded expectations on both fronts, clearly benefiting from AI.
The five major cloud providers are expected to spend 805 billion in capital expenditures by 2026, more than doubling from 2024. Private capital is rushing in.
But doubling revenue is no longer enough. AMD fell 9% after hours, and SanDisk dropped 12% after its earnings report — good performance is expected; the key is whether guidance can continue to exceed expectations. AI infrastructure is moving from "storytelling" to "accounting" mode.
BTC follows the Nasdaq; as long as AI hardware demand doesn't collapse and tech stock valuations don't adjust downward, BTC's downside remains relatively controllable. But Harmak just said "multiple rate hikes possible," and macro liquidity is the real ceiling.
👇 How long do you think this AI infrastructure wave can keep surging? Let's discuss in the comments.Jensen Huang appeared on CNBC live with Goldman Sachs, BlackRock, Blackstone, KKR, Brookfield, and Apollo to explain the new $500 billion AI financing plan:
1. Computing power is a fundamental necessity like water and electricity
This is the biggest underlying transformation in the computer industry in 60 years
It may benefit most companies even if they use fuel generators $BE, but in the long term, it depends on transformers and power grid infrastructure
2. Demand is so fierce that huge funding is necessary
Not only do we need to buy chips, but also compete for land, build power grids, and construct factories. Just building a 1-gigawatt scale AI data center costs as much as $50 to $60 billion
This is mainly a problem caused by mismatched government and enterprise demand, so companies in these areas deserve more attention
3. NVIDIA is no longer just a chip seller
It is now directly upgrading to an AI factory platform, which is industry-wide and can run any AI model, breaking the dilemma of over-reliance on other companies in certain areas#财报观察员：AI基建财报接力登场 Summary of today's Asian session (August 11)
Japan is closed (Mountain Day), with clear divergence among major markets.
Hong Kong stocks weakened: The Hang Seng Index closed at 25,652 points, down 1.1%; the Hang Seng Tech Index fell 1.93%. The overnight Nasdaq pullback dragged down the tech sector, with NIO and BYD Electronics among the biggest decliners. Energy stocks rose against the trend, led by CNOOC, with Brent crude approaching 85, exerting a transmission effect.
A-shares: Shanghai weakened while Shenzhen strengthened. The Shanghai Composite ended a six-day winning streak, while the ChiNext Index opened lower but rose to close up 1.41%. Style rotated from high-level tech to consumer and pharmaceutical sectors. Over 3,100 stocks declined, with northbound plus leveraged funds net outflow of about 12 billion yuan, showing clear characteristics of stock rotation.
Other markets: South Korea and Australia slightly followed the decline. The Asian session overall was under dual pressure from oil price transmission and tech linkage, showing a pattern of strong energy and weak tech.
US market outlook tonight
Focus tonight: 6:00 NFIB Small Business Optimism Index, 10:00 Existing Home Sales. The real market focus is Wednesday's CPI; before that, funds remain defensive.
Pre-market futures are soft. Key levels for the S&P: above 774.74 confirms bullish bias, below 771.60 turns bearish. Tech giants remained firm last week, but the semiconductor sector (Philadelphia Semiconductor Index fell over 2% yesterday) continues to weaken, posing a risk. High oil prices and the 10-year yield at 4.70% are pressuring growth stock valuations.
Overall judgment: Narrow volatility is expected before CPI release, with no clear breakout. The energy sector may continue to benefit short-term from Hormuz Strait sentiment.Most people say that staking 42 million ETH is a supply positive, but I don't see it that way.
The staked amount has surpassed 42 million, accounting for nearly 35% of the total supply. Many accounts say: ETH is becoming increasingly scarce, supply is locked, and price pressure is reduced.
I understand this logic; on the surface, it does hold true. But if you look closely at what has happened with Ethereum this year, you'll find that behind the surge in staking rate is a more complex, even somewhat ironic story.
On August 4th, Justin Drake, along with five other Ethereum Foundation researchers, submitted EIP-8361. The core mechanism is "Tapered Issuance Burn": as the staking ratio rises, the proportion of validator rewards that are burned also increases, until the staked amount reaches 50% of the total supply (about 60.25 million ETH), at which point new consensus layer issuance drops to zero.
This proposal made me think for a long time.
On the surface, EIP-8361 addresses the problem of "over-staking leading to centralization"—indeed, when 35% of ETH is locked in staking contracts, and Lido alone accounts for over 30% of validator share, the centralization risk is real.
But here’s the question: who is most disadvantaged by this proposal?
The ones most disadvantaged are those currently staking. If you stake ETH today, you earn about 3.5%-4% annualized yield. Once EIP-8361 passes and staking rates continue to climb, your rewards will be automatically diluted by the system until they reach zero at the 50% threshold. In other words, the more people stake, the faster they push the critical point where their own rewards diminish.
It’s a bit like the story of everyone desperately pouring water into a pool, unaware that the pool has an ever-growing leak.
Now, regarding the DeFi side. Ethereum staking’s base yield has long been regarded as the "risk-free rate anchor" in the DeFi world—interest rate pricing for lending protocols like Aave and Compound is, to some extent, referenced to this anchor. If EIP-8361 pushes this base yield down or even to zero, liquid staking projects that rely on Ethereum staking yields as their product narrative (Lido, Rocket Pool) and LRT protocols (EigenLayer’s EIGEN staking logic) will face valuation shocks.
Community controversy over EIP-8361 is still significant. On the Ethereum Magicians forum, some voices directly say: the proposal was submitted just before the Hegotá upgrade deadline, leaving seriously insufficient time for community discussion. This is not an ordinary parameter adjustment; it is a fundamental change to Ethereum’s monetary policy, yet it was pushed through like an emergency bill. This procedural issue alone deserves separate caution.
My current judgment is: the probability of EIP-8361 being implemented in 2026 is low, but its very existence already casts a question mark over ETH’s "monetary expectations"—what exactly will Ethereum’s future issuance policy be? Who decides? This uncertainty creates friction for institutions allocating ETH.
This is my understanding at this stage, but I leave myself a 30% chance to reverse because if EIP-8361 passes in a modified form with a sufficiently long transition period (the proposal mentions 18 months), the impact might be milder than I expect. For those following ETH staking mechanisms, do you think the impact on the DeFi side will be more severe than the consensus layer issuance itself, or not so much?
#现货ETF资金分化，BTC卖压仍在 🍎 APPLE × CHANGXIN: THIS IS BIGGER THAN A SUPPLIER STORY
Apple reportedly testing ChangXin Memory Technologies’ DRAM chips is getting attention for a reason.
The bigger signal isn’t simply “Apple wants another supplier.”
It’s that the global memory market is becoming so tight that even a company with Apple’s purchasing power is looking for additional sources of supply.
📌 Why ChangXin matters
ChangXin has been expanding its position in the global DRAM market and is increasingly being viewed as a serious fourth player alongside Samsung, SK Hynix and Micron.
But there’s an important detail:
ChangXin reportedly isn’t trying to win customers by simply offering the cheapest chips. With domestic demand already absorbing much of its capacity, its pricing power appears stronger than many expected.
That changes the narrative.
This isn’t just about replacing one supplier.
It’s about China building a more competitive position in a strategically important semiconductor industry.
🔥 And what about BTC?
There’s no direct Apple → ChangXin → Bitcoin connection.
The potential link is macro:
AI infrastructure is consuming enormous amounts of computing hardware → memory demand stays elevated → semiconductor prices remain under pressure → companies raise product prices → inflation expectations can stay sticky.
Short term, persistent inflation can keep pressure on risk assets.
But over the longer horizon, continued monetary and technological expansion strengthens the debate around scarce, non-sovereign assets.
And that’s where $BTC becomes interesting.
The real takeaway?
Apple testing ChangXin may be less important than what it says about the memory market itself.
When supply becomes scarce enough that even Apple starts looking for alternatives, the semiconductor cycle deserves attention.
And where capital expenditure, AI infrastructure and inflation go…
BTC eventually gets pulled into the conversation. 👀
$BTC $ETH $BICO
#Bitcoin #BTC #Ethereum #Apple #Semiconductor #AI #Crypto #Orbit Altcoins: A life-or-death survival game
If you still fantasize about getting rich overnight with altcoins, first take a good look at this data: tracking 1,972 tokens that once had a market cap over $50 million, only 4.1% outperformed Bitcoin, the median return was a 97% loss, and 73% of tokens experienced drawdowns exceeding 90%. This is not a coincidence of a market winter, but the fate of altcoins.
Why are altcoins doomed to zero?
The entry barrier is extremely low, with thousands of new projects flooding in every year, diluting limited funds; most projects lack real commercial value, with valuations supported only by narratives and sentiment; token unlocking mechanisms are ticking time bombs—institutions enter at very low cost, and retail investors face massive sell pressure afterward. Even more brutal, when panic hits the market, liquidity evaporates instantly, leaving you no chance to cut losses.
Survival rules: if you insist on participating
First, allocate over 90% of your portfolio to Bitcoin, using altcoins only as "lottery tickets" that you won’t mind losing entirely; second, only choose top projects in their sectors, such as the top two in public chains, DeFi, AI, etc. ($SOL, $PUMP, $UNI, $HYPE, $ETH), others are basically cannon fodder; third, never chase highs, only test small positions when the market stabilizes and sector rotation begins; fourth, strictly set stop losses, exit unconditionally at -20%, never average down to reduce cost.
The vast majority of altcoins will ultimately just be tuition fees on your investment journey. Remember: in this market, survival is everything. Slow is the fastest way.
$BTC $DOGE (1H) – Ascending Moving Average Ribbon
Bias: LONG
Entry Zone: 0.07005 – 0.07020
Stop Loss: 0.06975
TP1: 0.07050
TP2: 0.07090
TP3: 0.07130
Why this setup:
Price maintains a clean bullish curve off the 0.06940 base, holding support above the stacked MA5 (0.07009), MA10 (0.07004), and MA20 (0.06989) levels to target a breakout of 0.07036.
NFA – Educational purposes only.
#AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges Has $DOS peaked this wave?
The recent spike of dos just broke a new high at 0.5391 again, which surely has many holders wondering if they can still chase the rally at this level!
From the current market situation, new coin listings definitely have high volatility and will face significant selling pressure. The recent listing on the Korean exchange has already been priced in as a positive, so it's best not to blindly chase the price at this level.
Brother Yang's long position entered around 0.485 has already gained 65% profit, and he has adjusted his stop loss accordingly.
$BEAT $BICO #财报观察员：AI基建财报接力登场
#本周三CPI公布，9月加息定价会改写吗？ #现货ETF资金分化，BTC卖压仍在 On August 10, BTC spot ETF saw a net outflow of about $144.6 million, and ETH ETF also turned to a net outflow of about $14.6 million. Meanwhile, on-chain selling pressure has not disappeared. Lookonchain monitored that a whale sold a total of 7,513 BTC in the past three weeks, worth about $487 million; another suspected miner-related address transferred a total of 6,494 BTC to Binance in the past three weeks, about $420 million.
Interestingly, despite such large chips pressing into the market, BTC is still holding near $64,000.
So now I am not simply bearish.
What really deserves attention is: if ETF funds turn positive again and whale selling pressure gradually weakens, the $64,000 area could be the position where bulls and bears reprice; but if ETFs continue to see outflows and coins keep flowing to exchanges on-chain, the support below will continue to be tested.
The biggest variable coming up is CPI. The U.S. Bureau of Labor Statistics confirmed that July CPI will be released on August 12 at 8:30 ET.
This round is not without buying pressure, but the buying pressure is clashing head-on with whale selling pressure. Whoever exhausts first will basically determine the next direction. @OKX星球 Traditional assets such as U.S. stocks are integrating with wallets and on-chain protocols, creating convergence points for cross-market liquidity on-chain. Against the backdrop of high-interest U.S. stocks linked with crypto assets, asset tokenization on-chain has brought direct ecological use cases and value capture mechanisms for $OKB. If traditional financial assets like bonds and funds continue to expand, the momentum for token valuation reshaping will be released simultaneously. If cross-jurisdictional regulatory constraints tighten or on-chain U.S. stock liquidity comes under pressure, the upward pace will slow accordingly. The next focus will be on monitoring on-chain U.S. stock trading volume and premium changes.
#贝莱德IBIT换购门槛降至100万美元 #CLARITY表决推迟至9月，监管窗口后移 Long and Short Crowding Rankings
High fees are not a conclusion, and low fees are not an opportunity; what really matters is position returns.
$DOS current fee rate -0.7849%, settled -2.344% in the past 24 hours, at the 20th percentile of recent samples. Price is falling while positions increase; new leveraged funds are participating in this downturn. Shorts continue to expand positions at high costs; this is not a bottom-fishing signal. The real risk point is adding positions without price dropping. There are only 5 settlement points in the historical sample, so the percentile is only for reference.
$SKHYNIX current fee rate +0.0996%, settled +0.167% in the past 24 hours, at the 75th percentile of recent samples. Price is going down, and positions are also decreasing; position retreat is a more certain attribution than direction. Positions are declining, crowded positions retreat first; the current focus is when the speed of position reduction will slow down.
$BEAT current fee rate +0.0598%, settled +0.222% in the past 24 hours, at the 97th percentile of recent samples. Positions expand while price falls; selling pressure is accompanied by new positions, but open interest alone cannot confirm the short position direction. Price is falling, open interest is increasing, and the fee rate remains slightly positive; this mismatch is more sensitive to the longs.AI Is Bidding For The Rails
Compute Eats Capital
The AI trade moved further out of the demo room and into project finance: Nvidia is reportedly lining up a 500b financing effort with Apollo, Blackstone, BlackRock, Goldman Sachs, KKR and Brookfield, while Big Tech AI CapEx is estimated to hit a record 2.4% of US GDP in 2026. BlackRock’s Larry Fink said AI will require more than 70 gigawatts of power, and Meta announced a 1b fund for US cities hosting its AI data centers. The non-obvious crypto angle is power competition: Keel shuttered all US bitcoin mining operations to pivot fully to AI, which says the compute stack is now bidding directly against hashpower for infrastructure.
Agents Hit Reality
The cleanest AI risk signal today was not a lab benchmark; it was an agent booking a gym class, reportedly finding a software vulnerability and kicking another member off the waitlist to secure a spot. Decrypt also flagged hidden text in PDFs hijacking an AI assistant, while North Korea’s Kimsuky is reportedly integrating AI into cyberattacks targeting crypto and finance. That is the uncomfortable middle ground: agents do not need to be superintelligent to become operational security problems; they only need permissions, tools and sloppy boundaries.
$BTC
#BTCETHETFFlowsDiverge I'm bearish on SpaceX
Starting August 20, internal shares will begin to unlock in batches again, with 44% of internal shares available for sale in September. The pressure will continue until December 8, when the circulating supply will expand nearly 10 times, significantly increasing the number of chips. Referencing Facebook in 2012, on August 20, the negative news will turn positive, and then it will be a good time to go long. Refer to the first unlock and rally on August 6
$SPCX Flash Rescue co-founder Darcy revealed that the Ponzi scheme project ODY targeting victims in China issued an additional 10 billion tokens on July 28 and withdrew about 15 million USDT from the trading pool. Currently, the tracked ODY-related aggregated funds are at least of this scale.Earnings surged 372%, but the stock price dropped 47%—SanDisk's Investor Day: a "self-rescue" or a "reversal"?
Have you ever seen a company like this?
Revenue of $8.97 billion, a year-over-year surge of 372%.
Profit is 135 times that of the same period last year.
Gross margin at 84.6%, ridiculously high.
The board also approved a $14 billion buyback plan.
Then, the stock price dropped more than 10% in two days.
From the historical high of $2354 in June, it fell all the way to $1238—market cap evaporated by 47%, over $150 billion lost.
You read that right.
This is SanDisk.
On the night the earnings report came out, I stared at the screen for ten minutes.
Revenue beat expectations, profit beat expectations, gross margin beat expectations, buyback beat expectations—four "beats" stacked together, yet it fell 7% after hours.
What logic is this?
Because the guidance for the next quarter was "not impressive enough."
SanDisk expects next fiscal quarter revenue between $10.3 billion and $10.8 billion, midpoint $10.55 billion—while Wall Street's most optimistic forecast is $11.16 billion.
Just $600 million short.
A $600 million gap, and the market punishes with a $150 billion market cap loss.
Wall Street now demands not "good," but "perfect."
What’s even more painful is the truth behind SanDisk’s recent surge.
Many think the 372% revenue surge is due to a global storage demand boom.
Wrong.
Management said plainly: Of the 51% quarter-over-quarter revenue growth, only one-third came from increased shipments—the remaining two-thirds came from price hikes.
This is not a demand-driven boom.
This is a bubble inflated by price increases.
TrendForce data shows NAND contract prices rose 70% to 75% quarter-over-quarter in Q2 2026, but the increase sharply dropped to about 20% in Q3.
The price hike momentum is slowing down.
But the other side of the story is also interesting.
SanDisk has signed 10 "new business model" long-term agreements, locking in supply for 8 core customers over the next four years.
More than half of the supply for fiscal 2027 is already locked in, and about two-thirds for fiscal 2028 are arranged.
These agreements guarantee a minimum revenue of $93.9 billion, with $16.5 billion in customer default protection.
The CEO said something in the conference call that left a strong impression:
"In the past, we could only forecast demand within 3 months; now we hold locked purchase volumes for over four years."
From "looking three months ahead" to "looking four years ahead"—this is a real qualitative change.
So, the core question SanDisk’s management must answer on Investor Day, August 13, is:
Are you a cyclical company surviving on price hikes, or a platform company crossing cycles with long-term agreements?
The market currently chooses to believe the former—hence the stock price halving from its peak.
But if management can prove the latter on Investor Day—prove that the NBM agreements are not just for show, prove that AI storage demand is not a short-term pulse but a long-term trend, prove that the 84.6% gross margin is not a peak but the new normal—
then the current $1238 price might be the bottom for the future.
The market never fears a company making less money.
What the market fears is—you don’t know if you can make this much next year.
SanDisk tries to answer this with 10 long-term contracts and $93.9 billion in minimum revenue guarantees.
But investors are not yet convinced.
On August 13, it depends on whether management can tell this story well.
$SNDK $SKHYNIX $SAMSUNG #闪迪8月13日投资者日临近，财报分歧待解 Broadridge disclosed that its distributed ledger repurchase platform DLR processed over $8 trillion in transaction volume in July, with a daily average of about $365 billion, a year-on-year increase of 28%.
This figure is not public chain TVL, nor is it $8 trillion flowing into Crypto. It corresponds to institutions using distributed ledgers to complete repurchase settlements and real-time tokenized collateral transfers within the existing trading and clearing systems.
This kind of news does not stimulate coin prices but indicates that on-chain settlement on the institutional side already has a considerable business volume.AI infrastructure is becoming as much a financing story as a technology story. Nvidia’s platform with BlackRock, Blackstone and Goldman Sachs targets more than $500B in third-party capital for customer data centers and GPUs, though deals remain pending. Intel, meanwhile, may lift its own offering from $15B to about $20B after attracting over $100B in orders.
The distinction matters: external capital can support customer demand, while equity issuance funds Intel’s own buildout and raises dilution questions. As spending scales, funding structure may become a sharper valuation signal than headline demand alone. Not advice, just analysis.
#AIInfraFundingDivergesMarkets Are No Longer Watching the Deal. They're Watching Whether It Can Be Implemented.
Markets initially welcomed reports that Iran and Oman had reached a preliminary understanding on new shipping arrangements through the Strait of Hormuz.
Now, attention has shifted.
The biggest questions are no longer about whether an agreement exists—but whether commercial shipping can actually resume under increasingly complex conditions.
Reports suggest unresolved issues include sanctions compliance, insurance coverage, transit rules and enforcement responsibilities. Iran's parliament is also considering tighter transit regulations, adding another layer of uncertainty.
This matters far beyond the energy market.
The Strait of Hormuz handles roughly a fifth of global oil shipments, making it one of the world's most strategically important trade routes.
If disruptions persist, higher oil prices could keep inflation elevated, complicate central bank policy and delay expectations for easier monetary conditions.
That's where crypto becomes part of the story.
Bitcoin doesn't trade on shipping lanes.
It trades on liquidity.
And liquidity is heavily influenced by inflation, interest rates and broader macro conditions.
Sometimes the most important crypto catalysts begin far outside the crypto industry itself.
Do you think geopolitics will play a larger role in crypto markets over the coming years than many investors currently expect?
Share your thoughts below 👇 #HormuzDealUnresolved Builder fireplace affiliated with Polymarket Developers announced it will shut down
From the mainnet launch in late January to closure, just over half a year, during which it also raised $1.5 million
After the World Cup, prediction markets may be entering a winter, which is an even bigger blow to small end platforms
There are over 450 Polymarket Builders, but weekly trading volume has declined for 5 consecutive weeks, and more small platforms may shut down one after anotherSpaceX's short squeeze rally this week has been quite steady, without even a single step back, allowing the bulls who have been suppressed for two months to finally breathe a sigh of relief.
Yesterday's close rose 4.23% to 138.74, maintaining stability. Besides its own factors, the market speculates that RKLB's earnings report and the failure of the Zhongxing 4B launch also impacted SPCX's stock price, but the main driver is still its own independent logic.
For commercial aerospace, the launch itself is just infrastructure, while the functions provided by the satellites are the real business. The entire industry is now turning into mini SpaceX's; the battle of business models is over, and what remains is the battle of scale.
The failure of the Long March 7 modification will raise SpaceX's reliability premium and will put the brakes on China's narrative of weakening SpaceX's technological scarcity. It may add fuel to the current short squeeze, but it is not decisive. If the final fault investigation confirms that the problem lies with the shared core of the entire new generation Long March family—the YF-100 engine—then it will very likely postpone the bearish catalyst hanging over SPCX in Q4.
Tomorrow night's CPI data probably won't be lower than last month, since oil prices have been rebounding since early July. But it won't be very high either, because oil price transmission has a lag, and the main impact of the oil price rebound will show in next month's data. Judging from today's gold price trend, the current pullback looks more like profit-taking after a rally and waiting for the CPI, rather than proving the market has completely ruled out rate hike risks. Therefore, the US stock market should not be bullish before the CPI data is released. $SPCX 🚨 SEC to Launch First Major Crypto Rulemaking on August 14
The U.S. SEC will hold a public meeting this Friday to formally propose "Reg Crypto," establishing a tailored issuance mechanism for certain crypto asset investment contracts. This marks the SEC's first official rulemaking initiative specifically targeting crypto.
The highly anticipated CLARITY Act has been delayed in the Senate and did not advance before the recess. However, the SEC has chosen to accelerate its actions, indicating that regulation is not stalled due to congressional gridlock.
Market impact: There may be short-term volatility, but in the medium to long term, this will provide a clearer compliance path, helping to attract institutional capital and reduce uncertainty.
My view is— the market will no longer solely bet on the CLARITY Act. With the SEC proactively advancing rulemaking, crypto market prices should stabilize and no longer overly depend on a single legislative outcome. Regulatory clarity is increasing, which is positive for long-term development. So ruthless! Nvidia's move of “getting something for nothing” is rubbing Intel into the ground? 🤯
Really shocked by Nvidia's financial skills! 👇
🔥 Nvidia's play:
They pulled in BlackRock and Blackstone to create a $500 billion financing platform.
To put it simply: I want to sell shovels, but customers don't have money to buy? No problem, I borrow money from Wall Street big shots for the customers, and the customers use that money to buy my shovels!
This is top-tier business closure—not only selling goods but also making money from finance, with almost no cost to themselves.
🩸 Intel's situation:
On the flip side, Intel is raising $20 billion by issuing more shares, which dilutes equity. Although the subscription is hot (over $100 billion in demand), this is clearly a "bleeding to survive" move—they have to reach out to the market for money to make chips.
💡 Lessons for retail investors:
When evaluating a company, look not only at the product but also at its "ability to raise money." Nvidia, which can mobilize external capital to do business, is the true king.
Beware of "all good news priced in." Intel's share issuance is positive (more money for expansion), but short-term equity dilution is real—don't rush in blindly.
AI infrastructure is still in the money-burning stage. Whoever can get money at the lowest cost will survive till the end. So far, Huang (Nvidia's CEO) is winning big.
What do you all think—can Intel turn things around this time?
#AI基建融资升温，英伟达英特尔路径分化 1. First News: Trump's Statement on Three US Strategies Toward Iran
1. Core Information Breakdown
- Source: Xinhua News Agency citing Al Jazeera on the 11th, Trump's public statement in an interview with "Real America's Voice"
- Core Content: The three US strategies toward Iran are monitoring the deterioration of Iran's situation, launching a fierce strike against Iran, and exerting economic pressure on Iran; it also clearly states that the US controls a large amount of Iran's funds and assets, fully under US control
- Market Sentiment Tags: 6 positive, 20 negative; overall market interpretation is bearish
2. Geopolitical and Economic Impact Analysis
- Geopolitical risk sharply escalates: Among the three strategies, the military option of "launching a fierce strike against Iran" directly breaks the relative stability expectation of the Middle East geopolitical situation, potentially triggering military conflict risks in the region. As Iran is a major global energy exporter, such conflict would directly impact the global crude oil supply chain, pushing up oil prices and global inflation expectations.
- Increased economic pressure on Iran: The US's control over a large amount of Iran's funds and assets, combined with economic pressure strategies, will further restrict Iran's foreign trade and financial activities, exacerbating domestic inflation and currency collapse risks, while also affecting the stability of global energy market supply.
- Global risk aversion sentiment rises: Geopolitical conflict risks will directly reduce global market risk appetite, causing capital to flow into safe-haven assets such as gold, US Treasuries, and the Japanese yen. Global stock markets, especially high-risk emerging markets, will come under pressure.
2. Second News: Bitunix Analyst's Interpretation of Nonfarm Payroll Data and Exchange Rate Intervention Impact
1. Core Information Breakdown
- Core Event: US July nonfarm payrolls unexpectedly decreased by 23,000, combined with Japan-US exchange rate intervention, intensifying global asset concerns over high funding costs
- Market Core Focus: US July CPI data, capital efficiency of the AI industry
- Core Interpretation Logic: Nonfarm data decline → US labor market cooling → overheating economic expectations broken → market reassesses Fed monetary policy path → urgency for rate cuts increases → but economic weakness undermines growth support → under risk aversion, funding cost pressure further rises → data becomes a key turning point reversing market expectations, indicating a substantial weakening of US economic growth momentum
- Market Sentiment Tags: 3 positive, 4 negative; overall market interpretation is bearish
2. Macro and Market Impact Analysis
- Fed monetary policy expectations completely reversed: Nonfarm employment is a core leading indicator of the US economy; the unexpected decline directly proves economic cooling. Market expectations for the Fed will shift from "maintaining high rates longer" to "earlier/faster rate cuts," putting pressure on the US dollar index and pushing US Treasury yields down with rate cut expectations.
- Contradictory impact of funding costs and asset valuations: Although rising rate cut expectations will lower funding costs long-term, short-term market risk aversion due to recession fears will push actual funding costs higher, pressuring valuations of global high-risk assets (especially high-valuation growth stocks and AI sector assets), as higher funding costs directly compress asset valuation space.
- Exchange rate market volatility intensifies: Japan-US exchange rate intervention means Japanese authorities have started to intervene against yen depreciation. Yen appreciation will directly affect Japanese exporters' profits and alter global exchange rate market capital flows. The USD/JPY trend will become a key variable affecting global stock and bond markets.
- Subsequent market core anchors: July CPI data is a key constraint on Fed monetary policy—if inflation remains high, the pace of rate cuts will be limited; if inflation declines synchronously, rate cut expectations will strengthen further. Meanwhile, the capital efficiency of the AI industry determines whether the previously favored AI sector can maintain high growth, directly impacting global tech stocks' performance.
3. Overall Market Impact Summary of Both News Items
Both news items point to a decline in global market risk appetite and a rise in risk aversion:
1. Geopolitical level: The US's tough stance on Iran directly pushes up Middle East geopolitical risks, benefiting safe-haven assets like crude oil and gold, while negatively impacting global risk assets.
2. Macro level: The US nonfarm data unexpectedly weakens, proving a slowdown in US economic growth momentum. Although rate cut expectations rise, short-term recession concerns will suppress risk asset performance, while a weaker dollar benefits non-US currencies and emerging market assets.
3. Overall transmission: The combination of both news will drive global capital to shift from high-risk stocks and growth stocks toward safe-haven assets such as gold, US Treasuries, and the Japanese yen, significantly increasing short-term market volatility.
$BTC $ETH
#现货ETF资金分化，BTC卖压仍在 A Wall Street Legend from a Century Ago: How Did Jesse Livermore Predict the Crash?
Jesse Livermore was one of the most legendary speculators of the 20th century, known as the "Great Bear of Wall Street." His two most famous big wins were:
- Shorting the market during the 1907 financial panic
- Building a massive short position before the 1929 Wall Street crash
The 1929 trade reportedly earned him about $100 million (in the value of that time), making it one of the most famous short trades in financial history.
But what’s truly worth studying is not that "he predicted the crash," but rather:
He didn’t predict the date; he observed that the market structure was breaking down.
1. He looked at the "overall market," not individual stocks
Early on, Livermore liked studying individual stocks, but later he changed his approach:
Buy in bull markets, short in bear markets, follow the main market trend.
He believed stocks don’t move independently but are controlled by the broader market trend.
This idea is very close to modern concepts like:
- Dow Theory
- Market breadth
- Capital flows
- Macro cycles
2. Before 1929, he saw 5 danger signals
① Everyone believed "this time is different"
The 1920s US stock bull market:
- Retail investors flooded in
- Leveraged buying was rampant
- Stocks became a tool for everyone to get rich
When the market started to show:
"Stocks only go up"
This was a very alarming signal for Livermore.
Today, similar signals are:
- AI can’t be a bubble
- Tech stocks are always fairly valued at high multiples
- Every pullback is a buying opportunity
② Volume expands but price advance weakens
Livermore studied "price action."
He observed:
- Is it easy to push prices up?
- Is the decline accelerating?
- Are buyers unable to push prices higher?
For example:
Stock price:
100 → 120 → 130
But:
Volume increases
Price gains shrink
This indicates:
Big money might be distributing.
This is very close to modern concepts like:
- Wyckoff Distribution
- Volume Spread Analysis
- Smart Money Concept
③ Leading stocks start losing strength
At the end of a bull market, usually:
Phase 1:
Quality stocks lead the rally
Phase 2:
Secondary stocks catch up
Phase 3:
Junk stocks surge wildly
The market before 1929 was the same.
When weak companies start soaring, it means the last liquidity in the market is burning out.
④ Credit leverage is too high
Before 1929, many investors used margin to buy stocks.
Market rising:
Leverage → More buying → Higher prices
Forming a bubble.
But conversely:
Price drops → Margin calls → Forced selling → Crash.
This logic is the same today in:
- Margin trading
- Futures leverage
- Crypto liquidations
⑤ He waited for "market confirmation"
Livermore didn’t short immediately upon seeing a bubble.
His core principle:
Only add to positions when the market proves him right.
For example:
First observe:
- Important support breaks
- Weak rebounds
- Trend turns bearish
Then gradually increase shorts.
This is very important.
Many traders:
See overvaluation → Short immediately
Result:
The bubble can continue for half a year or even years.
3. Livermore’s 1929 trading pattern
General process:
Phase 1:
Hold longs during the bull market.
↓
Phase 2:
Start sensing market abnormalities:
- Extreme stock valuations
- Speculative frenzy
- Trend weakening
↓
Phase 3:
Build short positions.
↓
Phase 4:
Add to shorts after crash confirmation.
He made huge profits during the 1929 crash.
4. But Livermore’s biggest lesson: predicting doesn’t mean keeping the money
His tragedy:
- Once made huge fortunes
- Later went bankrupt multiple times
- Ended life in tragedy
Reason:
Not poor skill.
But:
No permanent risk control.
For example:
- Overconcentration
- Excessive leverage
- Overconfidence in his own judgment
5. Applying this to today’s market
Livermore’s method can be turned into:
A bull market end checklist
✅ Extreme market valuations
✅ Retail investor frenzy
✅ Media unanimously bullish
✅ Weak stocks soaring
✅ Volume expanding but price gains shrinking
✅ Leading stocks breaking key moving averages
✅ Increasing credit leverage
When many of these appear simultaneously:
Don’t short immediately.
Instead:
Reduce position size and wait for market confirmation.
Actually, your previous studies of Wyckoff, SMC, Willy Mid Tri + SMA200, and the capital rotation in the latter half of the AI bubble are very close to Livermore’s thinking:
He didn’t focus on "news," but on:
Capital → Trend → Crowd psychology → Market structure.
Livermore’s most classic quote:
"The market is never wrong; only people’s opinions are wrong."
This is why methods from 100 years ago are still studied today.#USWeighsIranStrike #HormuzDealStillPending
◇ The role of Beijing in peace agreements in the Gulf region!
* A long-standing and largest oil buyer of Iran
* 40% of China's oil imports come from Hormuz
* Part of the military partnership with Iran
* Has certain influence in the Gulf region
* Successfully mediated the Saudi Arabia - Iran conflict in 2003
* Exploits the conflict to reduce US credibility, strengthening the image of a new empire with the slogan "Responsible, no military intervention"
◇ What can Beijing do by participating in the reconciliation process?
* As the largest customer/military partner, Beijing can completely coerce or offer economic/military support packages to force Tehran to de-escalate and reopen the Strait of Hormuz.
* In reality, China does not want the US to win, nor does it want Iran to continue escalating tensions that block the vital maritime route of Hormuz, directly affecting China's energy security.
* Maintains continuous connection with Washington while Tehran refuses direct negotiations.
◇ Results and timeline to achieve a peace agreement?
* Immediately after Beijing announced direct participation in peace agreements, attacks from both sides were temporarily halted.
* Gulf countries (Qatar, UAE, Saudi, Oman ...) are beginning to feel tired of the prolonged war, which directly affects the economy and civilians here.
* For now, there will be a temporary agreement (with a timeline) to open the Strait of Hormuz, reduce or suspend military activities. A nuclear agreement will be the final step to complete the peace mission for all parties.
* It is highly likely that this week there will be an agreement to open Hormuz, by the end of August commitments will be made to stop military activities between the parties (including Lebanon and Palestine). Around mid or late September, a nuclear agreement will end the conflict in this region.
♡ The market will continue to move sideways at least until the end of September 2026 "Money in the market is rotating, but BTC hasn't taken the baton yet"
Tuesday, August 11, 2026
Q3 · Issue 98
Aspirin · Cycle analysis from a data scientist's perspective
Semiconductors have stepped down from the main stage, while healthcare, gold, and finance have moved up; BTC is still standing at the door.
At the close of the US stock market on August 10, semiconductor ETF SMH fell 2.32%, Nasdaq ETF QQQ dropped 0.31%. On the same trading day, healthcare XLV rose 1.67%, gold GLD increased 1.03%, financial XLF went up 0.40%, and the equal-weighted S&P RSP slightly rose 0.07%.
One night is not enough to declare the AI trade is fading, nor to see that a broad bull market has spread. A more market-close explanation is: the most crowded positions are starting to loosen, and funds are shifting to seek cash flow, low volatility, and safe-haven attributes.
This is very important for BTC. Every dollar sold from chip stocks does not automatically flow into the crypto market. Whether there is new money in the market determines if this is a healthy rotation or a risk reduction in a high-level market.
1. Last night's market gave a seating chart
If risk appetite is truly retreating broadly, equal-weighted indexes, finance, and healthcare usually would not all be supported simultaneously. RSP closing higher indicates buying has not disappeared; SMH's decline being significantly larger than QQQ's suggests funds are starting to be selective about the most expensive and crowded parts of the AI chain.
Long-term demand for AI has not been overturned by a single day's drop. The problem lies in price and position: when a sector already carries the most optimistic profit expectations, any slight disappointment in earnings, financing costs, or capital expenditures will cause marginal funds to look for cheaper seats. Healthcare has stable cash flow, finance benefits from high interest rates, and gold provides insurance against inflation and policy errors. Their strength last night precisely outlines current fund preferences.
Therefore, the index remaining high does not mean the internal structure hasn't changed. Focusing only on the S&P or Nasdaq's rise and fall easily misses the moment when seats have changed hands.
2. Market leverage is very high, and the index's strength increasingly depends on internal relay
The latest disclosed FINRA margin debt is $1.502 trillion, up 49.02% year-over-year. Meanwhile, the VIX remains near 15, and ICE BofA high-yield bond spreads were only 270 basis points as of August 7.
This data is awkward: positions and leverage are high, options protection is still cheap, and the credit market has not sounded alarms. The market has not yet been forced to deleverage but already lacks a thick cushion.
In this environment, the same funds find it difficult to simultaneously support semiconductors, gold, healthcare, finance, and BTC. They constantly compare odds: where expectations are too full, they withdraw a bit; where prices have fallen longer and cash flow is steadier, they sit a while. Rotation itself is not pessimistic but reminds us that the index's strength increasingly relies on internal relay.
Broad diffusion requires looser financial conditions. The equal-weighted index strengthening continuously, credit spreads remaining calm, the dollar and long-term yields falling, plus crypto ETFs flowing back in, would mark the market moving from seat swapping to adding more seats.
3. Why BTC hasn't taken the baton yet
Last week, US spot BTC ETFs had a cumulative net inflow of $865.3 million, ETH ETFs net inflow of $243.7 million. Yet prices did not form an effective breakout; BTC is still patiently hovering around $64,000.
By August 10, BTC ETFs turned to a net outflow of $144.6 million, ETH ETFs also net outflow of $14.6 million. A single day outflow does not equal a trend reversal, but it shows marginal buying is not continuous. A weekend bullish candle can come from thin liquidity; continuous ETF subscriptions are closer to real money passing the baton.
When funds flow from chips to healthcare and gold, BTC may continue to consolidate; only when new risk budgets appear, or the dollar and long-term rates fall simultaneously, will BTC more easily shift from "spectating rotation" to "participating in diffusion."
I prefer to treat ETF fund flows as a thermometer, not to treat every candlestick as the answer.
4. Tomorrow night’s CPI will separate rotation from retreat
The US CPI released at 20:30 on August 12 is the first stress test for this judgment. The data itself accounts for half; the other half is how the dollar, long-term US bonds, and market breadth vote.
If CPI is moderate, long-term yields and the dollar fall, RSP continues to outperform QQQ, and spot ETFs resume net inflows, this rotation has a chance to become a healthier upward diffusion. BTC standing back above $65,500 and holding would be a direct signal that the crypto market is taking the baton.
If CPI is hot, yields rise, SMH and BTC continue to be pressured, and even RSP, finance, and healthcare turn from gains to losses, then liquidity is declining. VIX breaking above 25 and high-yield bond spreads moving above 350 basis points would require rewriting "seat swapping" into broader risk reduction.
After CPI, four things will decide whether this judgment can be retained:
- Whether RSP can continuously outperform QQQ without the S&P breaking its upward structure;
- Whether VIX stays below 20 and high-yield bond spreads hold within 300 basis points;
- Whether BTC ETFs resume net inflows and prices reclaim $65,500;
- After CPI, whether gold's strength accompanies a dollar decline or comes from risk insurance demand.
Semiconductors only fell for one day; it's too early to write the ending for AI trading now; healthcare and gold took over for one night, but it's not enough to become the new main theme. At least wait two trading days after CPI to see if funds continue to diffuse.
The market is not short of stories; it lacks money that can support all stories simultaneously.
I will continue to record the same cross-asset risk signals, fund flows, and subsequent validations in the Aspirin · Cycle Lab group chat. Whether the judgment is right or wrong, the original record is kept for the next data to decide.
#本周三CPI公布，9月加息定价会改写吗？ Short gold!
Gold is a non-interest-bearing asset, with no interest, cash flow, or dividends. Its sole pricing anchor is the real yield of the US 10-year TIPS, which is strictly negatively correlated.
Currently, the 10-year TIPS real yield is as high as 2.41%, with a breakeven inflation rate of only 2.26%, meaning the real interest rate has already surpassed the inflation level.
A simple analogy: Gold = a hen that doesn't lay eggs; interest-bearing bonds = a hen that lays eggs steadily every day.
With egg yields currently very high, everyone is selling the non-laying hens, so their price naturally falls. #AI基建融资升温，英伟达英特尔路径分化
Is SanDisk really able to stand at the crest of the AI wave, or is it doomed to the "highs and lows" of the cycle?
1. Company Overview: From Consumer Storage Giant to AI Infrastructure Rising Star
SanDisk Corporation (NASDAQ: SNDK) is a global leader in flash storage solutions, founded in 1988 by Eli Harari and others, headquartered in California, USA. The company was acquired by Western Digital in 2016 and later spun off to relist as an independent company in February 2025.
· Core Business: Based on NAND flash technology, it provides storage solutions covering data centers, edge computing, and consumer markets, including solid-state drives (SSD), memory cards, USB flash drives, and embedded storage products.
· Market Position: As one of the world's top five NAND flash suppliers, SanDisk holds over 11,000 patents and has driven the development of industry standards such as SD cards. Notably, through a joint venture with Kioxia, SanDisk secures nearly one-third of the global flash supply at a relatively low cost.
2. Key Positive: The "Money Printing Machine" Model Under the AI Wave
SanDisk's recent explosive growth is entirely driven by the exponential demand for storage from AI.
1. Explosive Performance, Gross Margin Surpassing Nvidia
In Q4 of fiscal 2026, SanDisk delivered a record-breaking report: revenue of $8.965 billion, up 372% year-over-year; GAAP net income reached $6.903 billion, compared to a loss in the same period last year. Its Non-GAAP gross margin soared to an astonishing 84.6%, even surpassing AI chip giant Nvidia, setting a new record in the NAND industry. The market attributes this to severe undersupply of NAND flash chips.
2. Strategic Shift: AI Data Centers as Core Engine, Long-Term Contracts Locking Future Revenue
SanDisk's business focus is rapidly shifting from the consumer market to the high-value enterprise market. Data center revenue this quarter was $2.977 billion, soaring 1298% year-over-year, with shipment bits rising from 12% a year ago to 38% of total shipments. More importantly, through the "New Business Model" (NBM), SanDisk signed 10 long-term agreements with 8 customers, locking in a minimum contract revenue of $93.9 billion, accompanied by $16.5 billion in financial guarantees. This model aims to transform SanDisk from a highly cyclical chip wholesaler into an infrastructure supplier with stable cash flow.
3. Potential Negatives: Market Votes with Its Feet, Concerns Over "Cycle End"
Despite the impressive earnings, SanDisk's stock price plunged after the earnings release, nearly halving from its historical peak, reflecting two core market concerns.
1. Price Increases Driving Growth, Not Demand; Signs of Cycle Peak Emerging
The root of market worries lies in that two-thirds of this quarter's growth came from product price hikes rather than substantial shipment volume increases. The current high prices of storage chips have begun to backfire on downstream demand; PC manufacturers raised prices due to cost increases, leading to shipment declines, and smartphone makers strongly resist price hikes. Analysts point out that when the entire industry's profit margins exceed 70%, it often signals the peak of the industry's prosperity.
2. Lack of High-End Barriers, Likely to Face "Boom-Bust" Cycles
Unlike Samsung and SK Hynix's absolute technical barriers in HBM (High Bandwidth Memory), SanDisk holds only a 2-3% global share in the enterprise SSD market and is seen as an industry follower. Institutions like JPMorgan believe SanDisk's current high profits reflect industry cyclical prosperity rather than structural company improvements. As major suppliers restart capacity expansion and 3D NAND technology upgrades, the industry is expected to return to a "boom-bust" pattern from 2027, making it difficult for SanDisk to maintain its ultra-high gross margins.
SanDisk is at a critical juncture transitioning from a consumer storage brand to an AI storage infrastructure supplier. In the short term, AI-driven supply-demand mismatches have earned it huge profits; in the long term, whether it can break the inherent cyclical curse of storage chips and build a true technological moat will determine if this is the prelude to a "king's return" or the "last celebration" #AI基建融资升温，英伟达英特尔路径分化
Recently, financing activity in the AI infrastructure sector has surged, with Nvidia and Intel taking distinctly different fundraising paths. The strategic differences between the two companies directly impact their performance in the capital markets.
Nvidia, in partnership with top financial institutions such as BlackRock, Blackstone, and Goldman Sachs, has established a dedicated AI computing power financing platform, aiming to leverage over $500 billion in external funds. This money is not for Nvidia's own use but is lent to downstream companies for purchasing Nvidia GPUs and building new data centers, using external capital to drive sales of its hardware. However, after the announcement, Nvidia's stock price slightly declined as the market worries that massive credit could increase industry debt risks, potentially transferring repayment pressure to hardware demand.
In contrast, Intel has chosen to expand through self-funding, planning to increase its stock issuance to $20 billion. Market subscription demand exceeds $100 billion, with all funds raised invested in self-developed AI chips and factory construction, relying on equity dilution to strengthen its production capacity and technological barriers.
Both models have pros and cons: Nvidia's asset-light approach leverages massive orders for faster expansion but depends on the industry's credit cycle; Intel's asset-heavy self-development is more stable operationally, though short-term equity dilution may suppress valuation. Overall, the influx of huge capital indicates that AI infrastructure is still in a peak expansion phase, but rising industry leverage, potential future supply-demand surplus, and debt risks have become key investor concerns, leading to a more cautious market assessment of tech stock valuations.$BTC Is the sentiment really this bad now? Yesterday I saw BTC stagnating, and I thought maybe all the funds were waiting on the CPI. But the CPI hasn't even been released yet, and it already dropped below 64,000 last night? I guess some institutions are betting on the CPI exceeding expectations.
1. This week's market mainly depends on tomorrow's CPI data: the expectation is a year-over-year 3.42%, core 2.52%. If it's below expectations, it could mean no rate hike or even a rate cut, and BTC would go up; if it exceeds expectations, it will break below 62,000.
2. Institutions had net inflows yesterday, indicating some funds are withdrawing, probably because some institutions speculate the CPI data will exceed expectations. The current fear and greed index is 31, sentiment is positive, so retail investors probably won't run.
3. Regarding the CPI data and last week's non-farm payroll data, some friends asked if there could be falsification. It's actually quite possible, but consider this: government falsification is also to serve monetary policy. Non-farm payroll and CPI data themselves are meant to serve normal monetary functions, so even if falsified, interpreting policy from the data is still reasonable.
But I don't recommend betting on the CPI in advance, because retail investors' information sources are still much worse than institutions. Don't turn investing into a game of betting on size or luck. #本周三CPI公布，9月加息定价会改写吗？ #AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges The $16.8 billion capital expenditure for the Terafab project landing in Texas has sparked concerns about high cash burn and rising macro funding costs. In-house manufacturing, while extending the investment return cycle, also reprices market risk appetite.
The initial $16.8 billion investment is concentrated on Terafab's self-developed AI chip factory in Texas, shifting the competition for computing power from leasing directly to heavy asset investment in manufacturing.
The core drivers of market pricing are, in order: cash flow squeeze caused by heavy asset investment, the expected long-term reduction in computing power costs from self-developed chips, and liquidity risk premium during the construction period.
The upside scenario assumes that capital expenditure is efficiently converted into capacity. If trial production progresses as expected and sustained demand can absorb this $16.8 billion fixed asset investment, the market's discount on heavy asset consumption will turn into a revaluation of vertical integration premium.
Variables to watch under this scenario include chip capacity ramp-up efficiency and the degree of unit computing power cost reduction. Failure signals include capital expenditure continuously exceeding budget and failure to achieve mass production within the scheduled time.
The downside scenario is triggered by high inflation and prolonged cash burn. When the $16.8 billion capital occupation causes liquidity tightening, or extended R&D cycles lead to capital returns falling short of expectations, short-term positions will rapidly reduce the risk appetite premium for the tech sector.
Variables to watch under this scenario include the rate of free cash flow deterioration and the suppression of heavy asset expansion by macro interest rates. Failure signals include smooth external financing channels and timely cash flow compensation by high-margin businesses.
If macro risk appetite contracts sharply or alternative technological paths emerge in the computing power manufacturing chain, the current assessment that the $16.8 billion heavy asset investment can secure long-term competitive barriers will be completely invalidated.
In the next 7 days, key observations should focus on fluctuations in macro funding rates following the confirmation of massive capital expenditure, and institutional position rebalancing trends in tech heavy asset targets.
#闪迪8月13日投资者日临近，财报分歧待解 #霍尔木兹海峡通航协议未落地，油价风险升温 #火箭实验室财报超预期，商业航天热度延续Short-term BTC takeaway 📉📈
This post says Hormuz is currently a macro risk for BTC, but it can work both ways.
Bearish scenario: Hormuz tensions → oil ↑ → inflation expectations ↑ → Fed cuts become harder → DXY/yields ↑ → liquidity ↓ → BTC pressure.
Bullish scenario: Hormuz deal/reopening → oil risk premium ↓ → inflation pressure ↓ → easier Fed expectations → liquidity improves → BTC could benefit.
What to watch
🛢️ Brent oil
🌍 Hormuz negotiations
💵 DXY
📊 U.S. Treasury yields
₿ BTC support/resistance + volume
My take: Don't short BTC solely because of Hormuz. The stronger bearish confirmation would be oil rising alongside DXY and yields while BTC loses key support. If Hormuz tensions ease and oil falls, the same macro setup could quickly turn bullish.Hormuz Deal Unresolved: Oil and Crypto Stand at a Critical Crossroads
Hormuz remains unresolved. While negotiations between the U.S., Iran, and Oman have made progress, disagreements over shipping routes, transit fees, and passage conditions mean geopolitical risks have not disappeared.
Brent has climbed to around $84.95 per barrel, showing that markets are still pricing in a geopolitical risk premium linked to Hormuz.
This matters significantly for Crypto:
Hormuz tensions → Oil rises → Inflation expectations increase → Fed easing becomes harder → USD/yields rise → Risk-asset liquidity weakens → $BTC and Crypto face pressure.
Conversely, if Hormuz reopens sustainably, the geopolitical premium could decline, oil could cool, and monetary-policy expectations could improve — creating more room for $BTC and the broader Crypto market to recover.
Investors should therefore watch Hormuz, Brent, the U.S. dollar, Treasury yields, and $BTC price structure together.
The key takeaway: Hormuz remains unresolved, so the risk has not disappeared. A durable agreement could become a positive catalyst for risk assets, while a breakdown in negotiations could quickly trigger another wave of volatility.
If you find this information useful, follow me to stay updated and discuss the latest developments across the Crypto market and Wall Street.
#HormuzDealUnresolved
#StrategySellsBTCAgain
#BTCETHETFFlowsDiverge
$BTC
$ETH H #AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges "Speak only when you have something to say; don't force words when you don't." 🦉 Seeing news of large ETF inflows, my first impression is definitely not that the market is about to take off, but that institutional capital returning only indicates liquidity warming up, not that incremental funds will immediately enter to push prices higher.
Last week, U.S. Bitcoin spot ETFs had a combined net inflow of $865 million, ranking among the top inflows in nearly 15 weeks. BlackRock's IBIT alone accounted for nearly $700 million, supporting the vast majority of the inflows; ETH also performed impressively with a net inflow of $244 million, marking five consecutive weeks of net inflows. This clearly shows that the window for institutional capital entry is loosening again.
🐢 But we must cool down and review the market rationally; the deep correction in July is still vivid. Currently, the coin price continues to oscillate between $64,000 and $65,000, with overall market sentiment still wavering and cautious—half bullish, half suspicious. ETF capital inflows only prove that mainstream institutional funds dare to test the waters with small positions; spot market trading volume and retail investor sentiment have not warmed up in sync.
Macro liquidity remains the core helmsman determining the market ceiling. The Federal Reserve maintaining a wait-and-see monetary policy and weaker nonfarm payroll data lowering rate hike expectations give risk assets room to breathe and recover; once rate expectations shift, on-exchange funds fleeing can happen in an instant.
Ethereum's five consecutive weeks of institutional accumulation means institutions are re-evaluating Ethereum's long-term value, viewing it as the second core asset in the crypto sector. However, a rotation market led by Bitcoin and followed by Ethereum requires volume support; relying solely on daily ETF fund reports to drive sentiment is far from enough.
🦅 My personal view is straightforward: capital inflows are a positive signal but definitely not a call for a large-scale entry charge.
Priority should be given to observing whether ETFs can sustain continuous inflows, and secondly confirming that the spot market's absorption strength is genuinely strengthening. Before these two conditions are met, strictly control positions and don't let market hype mislead your trading rhythm.
Capital flows reveal market direction but cannot bear the risk of losses for traders. $BTC $ETH #AI基建融资升温，英伟达英特尔路径分化 #本周三CPI公布，9月加息定价会改写吗？ #现货ETF资金分化，BTC卖压仍在 Strategy Sells BTC Again: What Signal Is the Whale Sending?
Strategy has sold Bitcoin again — and the market should look beyond the 1,690 BTC figure.
During August 3–9, Strategy sold 1,690 $BTC worth approximately $108.6 million, at an average price of $64,262 per BTC. The proceeds were used to repurchase approximately 1.15 million STRC preferred shares.
One week earlier, Strategy sold another 1,638 $BTC , generating approximately $104.7 million. In two weeks, the company sold more than 3,300 BTC, worth over $213 million.
Yet Strategy still holds approximately 840,447 $BTC , with a total cost basis of around $63.36 billion, or roughly $75,385 per BTC. Its U.S. dollar reserve has increased to approximately $4.65 billion.
This looks more like a liquidity strategy than abandoning Bitcoin.
Strategy is converting BTC into liquidity to strengthen its balance sheet and repurchase STRC, while also raising approximately $653.1 million through MSTR share sales.
But one signal cannot be ignored:
Strategy has gone several weeks without buying Bitcoin while continuing to sell BTC.
If this continues, the market will ask:
Is institutional demand taking a temporary pause, or are corporate Bitcoin strategies entering a new phase?
Selling 1,690 BTC remains small compared with its 840,447 BTC holdings. It does not prove Strategy has turned bearish.
The real signal is frequency.
Markets trade not only on supply, but on the belief that large buyers will absorb it.
When a major corporate Bitcoin holder shifts from “buy BTC” to “optimize liquidity,” sentiment adjusts.
Strategy has not turned its back on Bitcoin. But during volatility, liquidity can matter as much as conviction.
If $BTC remains under pressure while institutional demand fails to return, the risk could extend beyond a single sale.
But if Strategy stops selling and resumes accumulation, it could signal renewed institutional confidence in Bitcoin.
Watch what Strategy does next — not just what it did today.
$BTC #AIInfraEarningsWatch #CPIToResetFedBets #AIInfraFundingDiverges NVIDIA and Wall Street have jointly launched a 500 billion "computing power credit platform," completely upgrading the gameplay of the AI market.
Simply put: Wall Street provides the funds, companies use GPUs as collateral to take out loans to buy computing power, and NVIDIA guarantees 25%.
The signal is very clear:
1️⃣ Chip financial assetization: GPUs officially transform from "electronic consumables" into interest-bearing assets that generate cash flow.
2️⃣ Freeing up cash flow for major clients: Giants no longer need to occupy their balance sheets; CapEx becomes long-term leasing, and buying can't stop.
3️⃣ Shedding the "revolving financing" burden: Let independent financial institutions underwrite, isolating compliance risks.
Hardware sales ➡️ financial leverage ➡️ operational commissions, Jensen Huang has turned computing power into an infrastructure leasing business.
But be aware, after maxing out leverage, the entire industry is betting on whether downstream AI monetization can outpace debt interest. Do you believe in this model?
#NVIDIA #AI #英伟达 ＃美股 The market isn’t moving on one headline today. It’s a tug-of-war between institutional positioning, Ethereum’s next phase, tightening liquidity and a macro backdrop that could stay restrictive. Here’s what matters 👇 🟠 $BTC — Institutional selling meets structural demand $BTC is around $63.9K, down ~1.5%, while $ETH sits near $1.87K, down ~2.3%. Strategy sold 1,690 BTC for ~$108.6M between Aug. 3–9, taking its holdings to roughly 840,447 BTC. The proceeds are earmarked for its STRC repurchase pAI正在进入一个新的阶段：市场关注的重点，已经从“谁的模型更强”，转向“谁能把算力变成持续现金流”。 📈 最新市场消息显示，英伟达正与多家大型金融机构合作，推动AI计算基础设施融资平台，目标撬动超过5000亿美元第三方资本。这意味着AI算力竞争已经不只是科技公司的资本开支游戏，而正在逐渐变成一场由科技+金融+能源+数据中心共同参与的超级基础设施投资周期。(GuruFocus) 更值得注意的是，华尔街开始重新审视AI巨额资本开支：真正的问题已经不是“AI还要不要继续烧钱”，而是这些投入最终能不能转化成收入、利润和稳定现金流。 这场变化，同样正在加密市场发生。 过去依靠概念、情绪和流动性推动的全面上涨时代正在退潮，市场开始进入真正的价值筛选周期。 未来不再是谁的故事最性感，而是谁能够持续吸引资金、拥有真实用户、形成商业闭环，谁才能获得更高估值溢价。 🔥 AI正在重构全球资金流向： 过去，资金主要围绕GPU、服务器、云计算和大模型进行布局。 现在，资金开始沿着完整产业链寻找机会： ✅ AI芯片与HBM
✅ 数据中心与云计算
✅ 电力与能源基础设施
✅ 网络与光模块
✅ AI模型与Agen