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Today (October 22) at 8:30 AM Eastern Time, the US Initial Jobless Claims will be released.
The market expects around 200,000 claims, with the previous value at 199,000. Weaker data would strengthen expectations for a "soft landing/cut" and be positive for risk assets; stronger data could suppress risk appetite again.
More importantly, next week: the Federal Reserve rate decision is expected around October 28, along with GDP and PCE data. There are no major single events in the crypto space currently, but watch for options expiration and ETF fund flow changes.
Overall rhythm: easing geopolitical tensions + AI earnings support, risk appetite is warming up short-term, but don’t treat diplomatic talks and earnings as permanent positives. Today, first watch the initial claims data reaction, then observe if the US stock market and Bitcoin can hold yesterday’s highs $BTC $BTC surged so strongly last night, but today it's down again. What exactly happened??
Looking at the ETF inflows over the past three days explains it:
On the 19th, a massive buy of 527 million USD
On the 20th, another 232 million USD bought
On the 21st, continued buying of 290 million USD
Institutions have poured over 1 billion USD in real money these three days, no wonder they could directly crush the shorts and violently push the price up!
So how to view it now?
Although institutions are still buying, a pullback after the rally has appeared. Don't blindly chase the highs in the short term to catch a falling knife.
Trading strategy:
Resistance near 83,400-84,000, can try light short positions. The first downside target is 82,000, if broken then look at 80,500!
Control your position size, don't heavily bet on direction. This ETF capital is still in play, volatility will increase around the Federal Reserve meeting on October 28. Quick in and out is the safest!
$ETH $ZEC #10月FOMC临近，美联储暂停加息还有哪些变数？ A veteran trader who won 12 out of 13 trades and netted over $2.8 million is now stuck with a long position worth nearly $10 million. Why would someone with such a high win rate fall into the same trap? I was stunned for a few seconds when I saw these numbers. On October 12, he opened a position near 1546; as the price dropped, he kept adding, pushing the average price down to 1506, with the position size rolling up to nearly $10 million, and the unrealized loss once exceeding $750,000. The most painful part isn’t the loss itself, but that his take-profit line is set at 1510, just 0.21% above the cost. This is no longer trading; it’s seeking a dignified exit. The current price is 1393, still 8.4% away from that line. What concerns me isn’t this trader’s account, but the funding preference signals it reflects. - Signal one: A high-win-rate player starts averaging down for psychological comfort, indicating this aggressive capital has shifted focus from "how much to earn" to "can I avoid losing," showing risk appetite is contracting, not expanding. - Signal two: The take-profit is set just above cost, meaning there’s no upward expectation left in his mindset, a sentiment often seen after a phase high during a fatigue period. - Signal three: The nearly $10 million position stuck there means a rebound to around 1510 could trigger passive selling pressure, and the closer it gets, the more likely someone will jump the gun. - Signal four: Altcoins and thematic sectors are most sensitive to movements of such large positions; once someone is forced to reduce holdings, emotional contagion spreads faster than price changes. The bullish path isn’t impossible: if the price can reclaim above 1450 with volume, it indicates buyers are willing to absorb this batch of chips.First, consider the worst-case scenario: if you treat large transfers directly as buy signals and are wrong, you are the one who bears the price volatility. This was the first question I asked when I saw this message, not a prediction of the subsequent trend.
According to Lookonchain monitoring, on October 22, 4 newly created wallets received 1,127 $BTC from Wintermute, worth about 93.45 million USD; the total number of related new wallets is 7, receiving 2,217 $BTC, worth about 184 million USD.
My judgment is: this message is worth observing, but there is not enough evidence to interpret it directly as bullish. ⚠️ A large amount does not equal a clear direction; I am more concerned about what this transfer can actually prove.
First, new wallets do not equal new buyers; the data does not specify the actual controller, so new demand cannot be confirmed based on this. Second, transfers from a market maker only confirm asset movement, not the trading purpose behind it. Third, if the market treats "whale accumulation" as a definitive conclusion, then sentiment may be running ahead of evidence, which is my speculation.
My risk control habit is to first list the maximum loss I can bear per trade, then see how tempting the news is—don’t let news hype set your risk budget for you. When facing such large on-chain transfer news, how much stop loss do you usually set per trade—based on price range or account fund proportion?#MetaQ3 revenue exceeds expectations, legal fees and AI expenses under pressure
Meta's latest earnings report looks quite divided; is AI really generating cash or burning money? $META
Meta's Q3 revenue reached $64.601 billion, a 26% year-over-year increase. Earnings per share were $3.83, but excluding $9.89 billion in litigation costs, the actual EPS was as high as $7.40.
The core advertising business remains solid, with impressions up 10% and average price up 14%. However, capital expenditures soared to $34.91 billion, resulting in free cash flow turning negative $2.12 billion. The full-year capital expenditure guidance was raised to $135 billion to $145 billion.
Notably:
First, a fundamental change in capital structure
Meta plans to introduce non-voting Class C shares. This is Zuckerberg's move to maintain absolute control amid aggressive AI compute expansion, preventing Wall Street from constraining the company if future cash flow comes under pressure.
Second, compute conversion efficiency
Compared to peers, Meta's AI monetization is more directly embedded in ad recommendation algorithms, driving up ad unit prices. But hardware investment growth still outpaces cash flow accumulation.
Short-term free cash flow is expected to be constrained by infrastructure, but in the medium to long term, as long as ad AI monetization efficiency does not decline, high-intensity investment will build extremely high technical barriers.
DYOR ETH 2456｜Just one step away from 2500, but can it hold this time?
ETH has returned to around 2456 USD, making a short-term challenge toward the 2500 USD mark. However, the capital flow has not fully cooperated: the US spot ETH ETF saw a net outflow of about 26.1 million USD on October 20, marking the fifth consecutive trading day of capital outflow, with a cumulative net outflow of approximately 389 million USD over these five days. While the price is rebounding, institutional funds are still retreating, and this divergence is worth noting.
Next, focus on the support zone between 2400–2420 and the resistance band between 2480–2500. If ETH can hold above 2450 and effectively break through 2500, there is a chance to further challenge 2550; if the price is rejected at the high and falls back below 2400, watch out for a retest of 2380 or even the 2300–2350 range.
What’s most worth observing now is not whether ETH can touch 2500, but whether there will be sustained buying momentum after the breakout. In contract trading, false breakouts are most likely near resistance levels, so don’t rush to chase the direction just because the price is close to a round number; waiting for a confirmed hold is often more important.
Will ETH be able to take 2500 this time, or will it turn back again at the resistance?
#ETF买盘持续回流，BTC为何仍未走强？
For market analysis only, not investment advice. $ETH During the day, the AI sector collectively rebounded, with SpaceX and Nvidia looking more spirited than ever, while retail investors kept shouting for three days straight that "storage has bottomed out." The few short positions I held didn't move all day.
Looking after the close: Tesla's earnings report came out, and the stock price dropped nearly 3% in after-hours trading; as Asia opened, the Hang Seng Tech index showed another big bearish candle, and the AI chain collectively deflated. The daytime rebound felt more like a last gasp rather than a reversal.
I'm not just arguing with retail investors. This round of AI valuations is propped up by a series of "capital expenditure promises that haven't materialized yet." As long as those promises aren't fulfilled, the bubble isn't considered burst. $BTC also slid back from above 84,000 tonight; the risk-on confidence was always fragile.
In this kind of market, holding on is more valuable than being right. Did you chase the rally today, or did you hold back?#MetaQ3 revenue exceeds expectations, legal fees and AI expenses under pressure
Revenue reached $64.6 billion, up 26% year-over-year, surpassing market expectations. Q4 guidance is set at $73–76 billion. Advertising business remains the foundation, with both ad volume and ad unit price rising. The resilience of social traffic monetization remains intact, which is the core reason investors are willing to pay a premium.
The pressure side is divided into two parts. The first is a one-time legal bill: a provision of $9.89 billion for youth-related settlement fees, which directly hit operating profit on the books, causing operating profit to decline 37% year-over-year, and profit margin to drop from 40% last year to 20%.
The second is the long-term ongoing burden—AI arms race investment. The full-year capital expenditure floor was directly raised to $135 billion, with a ceiling of $145 billion. Free cash flow turned negative this quarter, a rare occurrence since Meta’s IPO. Zuckerberg’s strategy is clear: prioritize investing in computing power and Muse personal AI agents, sacrificing short-term profits to secure AI ecosystem positioning, even issuing new shares without voting rights to prepare financing channels for continuous AI spending.
Bullish logic: advertising cash flow is solid, one-time litigation fees are not the norm, if Muse commercializes successfully, AI has huge incremental potential, and the big tech narrative can continue;
Bearish logic: the AI spending cycle is longer than expected, after cash flow turns negative, continuous drain on computing power and chips, combined with ongoing massive lawsuits across the U.S., creating double pressure. If AI monetization falls short of expectations, valuation could easily be cut.#Tesla Q3 Auto Gross Margin Rebounds, Free Cash Flow Turns Positive Let's break down what this earnings report really delivered: revenue over $28 billion, basically flat year-over-year, net profit $787 million, down 43% year-over-year. However, the key highlight is the auto gross margin rising from 16.3% to 18.1%, and free cash flow turning positive with over $1.5 billion on hand. Additionally, FSD paying customers surpassed 1.7 million, energy storage business gross margin hit 33%, and Robotaxi is continuously progressing. Tesla has long ceased to be just a car company; it now plays the grand narrative of “AI + Energy + Autonomous Driving.” The most significant parts of this report are actually FSD and energy storage. The rebound in auto gross margin indicates the price war wasn’t as brutal, while the 33% gross margin in energy storage is a solid second growth curve. So, although profits appear down, the company’s quality is actually becoming healthier. However, the Fed’s interest rate environment and the pace of autonomous driving rollout can easily pressure the valuation, with a 4% drop reflecting market anxiety. What’s the impact? In the short term, the most direct impact is on the RWA (Real-World Asset tokenization) track. You see tokenized Tesla stock on-chain plummeting, which shows that traditional financial market risks can precisely trigger in our crypto space as well. Don’t think that without a US stock circuit breaker mechanism, tokenized assets can be recklessly pushed. Also, as the head of the Musk ecosystem, Tesla’s stock price pressure will somewhat suppress sentiment on-chain.100x ETH blew up with a 172% loss! Crude oil got counterattacked again, and Discipline Day turned into my slaughterhouse 🤡
This morning I was still shouting about "amputating to survive," but after the whole morning, the market directly cut off both my legs. 🌞
This lesson is so painful:
📉 Chart 2: $ETH 100x long position stubbornly held on to -172.34%! 100x leverage in the current wide-range shakeout is basically a meat grinder. Not decisively cutting losses this morning was the biggest breach of discipline.
📉 Chart 1: $CL crude oil short position, only down 15% in the morning, but by noon it was dragged down to -42.49%! The Middle East situation is full of twists and turns, and commodity volatility is off the charts.
💡 Midday discipline reflection:
Why have I been getting hit repeatedly lately? Considering the current hot topics, the Fed rate cut expectations have cooled, the dollar is strengthening, and macro funds are extremely sensitive. In this environment, I stubbornly held 100x leverage and went against the trend on crude oil, purely being reckless and giving away my head.
Not following discipline and losing control of position management is the bloody price to pay.
💬 Brothers, urgent help needed this afternoon:
These two trades are deeply stuck. Should I look for an opportunity to clear and stop loss before the weekend, or keep holding stubbornly waiting for a miracle?
Have you ever experienced "wanting to stop loss in the morning but getting halved by the afternoon"? Scold me awake in the comments, please listen! 👇
#ETH #CrudeOilCL #OKX #TradingInsights #RetailTraderDiary#特斯拉Q3汽车毛利率回升，自由现金流转正
Tesla's Q3 earnings report is a typical case of "mixed blessings, with highlights hidden in the details."
Two highlights: automotive gross margin recovery and positive free cash flow. Excluding carbon credits, the automotive gross margin was 18.1%, significantly up from 16.3% in Q2, driven by model mix optimization and supply chain cost control, not propped up by selling credits; last quarter free cash flow was still negative $1.09 billion, the market originally expected continued heavy losses, but it directly turned positive at $1.53 billion. The core reason is the cut in capital expenditures, with the full-year capex guidance lowered from $25 billion to $20 billion, slowing the spending pace, which eased cash pressure on the books, with cash reserves reaching $45.4 billion, strengthening the risk resistance.
But the pitfalls are also obvious: revenue is almost flat, automotive revenue even declined 3% year-over-year; R&D spending surged aggressively, with R&D expenses up 69%, eating into the profit gains from gross margin recovery, causing operating profit to be halved year-over-year, with an operating margin of only 2.6%. Simply put: vehicle-side profitability is slowly recovering, but new businesses like AI, FSD, Optimus robots, and Cybercab are still burning cash at an accelerating pace, continuously diluting profits through R&D.
The market divergence going forward is very clear:
Bull case: confirmation of the gross margin inflection point + cash flow recovery, no longer worrying about large capital expenditures continuing to drain cash, with long-term growth potential in FSD subscriptions, Robotaxi, and energy storage, allowing some valuation recovery;#MetaQ3 revenue exceeds expectations, legal fees and AI expenses under pressure
【Revenue surges 26%, but free cash flow turns negative: Who will pay Meta's AI bill?】
$META released its Q3 earnings report, and the advertising business is indeed strong: revenue reached $64.6 billion, up 26% year-over-year; ad impressions increased by 10%, and price per ad rose 14%. The problem lies elsewhere, with capital expenditures burning $34.9 billion in a single quarter, turning free cash flow negative $2.1 billion. The business is growing bigger, and AI spending is getting fiercer.
Operating profit fell 37% year-over-year, but not all due to operational deterioration; part of it was a one-time legal expense of $9.89 billion. Excluding this expense, operating profit actually grew about 11% year-over-year. This indicates the advertising engine remains strong; the real concern is whether subsequent investments will yield returns.
Meta raised its full-year capital expenditure guidance to $135 billion to $145 billion and plans to issue non-voting Class C shares to increase financing flexibility for AI investments. I think the market is more likely to accept high spending in the short term, provided the core advertising business continues to generate profits and AI gradually brings in revenue. If cash flow remains under pressure long-term and AI monetization lags, even the strongest advertising business won't withstand valuation scrutiny.Conclusion first: Yesterday I said on $IOST that 0.00094 was the lower edge of a volume explosion bullish candle, and as long as it didn't break, the structure was intact. Today at 10:00, the 4H candle directly smashed through it, now at 0.0009389, down 21.3% in 24h, falling 47% from the high of 0.0017828. I was wrong.
Where was I wrong? Yesterday I took "funding is still negative" as evidence that "spot buying dominates," but this reasoning was wrong. Negative funding rate doesn't mean strong buying, it means crowded shorts — the premium was pushed down to -1.85%, perpetual contracts are even cheaper than the index, and short ammo piled above 0.0016. When it surged to 0.00178, funding continuously hit the -1% lower limit, then at 04:00 the 4H candle smashed from 0.0016066 down to 0.0009867, a -38.6% drop.
Open Interest dropped from 4.32 million contracts at 03:00 to 2.92 million at 11:00, a 32% decrease. Price down + OI down = liquidations exiting, not turnover relay.
CoinGecko: Market cap $34.24 million, 24h volume $145 million, turnover 4.2 times market cap. High turnover with price drop means chips are passing to more panicked holders.
For beginners: $IOST is a small-cap coin with 36 billion circulating supply and $34 million market cap. After a structure drop of -20%, there is still -50% ahead. Did you chase in? $IOST $BTC is trading at $84,640, up 2.26% over the past 24 hours. The contract long-short ratio has increased from 1.18 to 1.20, suggesting that bullish positioning is growing. However, spot market data tells a different story. The hourly buy-sell ratio stands at 0.83, indicating stronger aggressive selling activity. 💡 My take: More bullish traders don’t necessarily mean higher prices. When the market becomes crowded with longs while sellers remain active, caution is essential. I’d rather watch the #特斯拉Q3汽车毛利率回升，自由现金流转正
【Gross margin rose to 18.1%, but net profit fell 43%, what is Musk relying on to support the valuation?】
$TSLA This earnings report is a bit contradictory: automotive gross margin rose from 16.3% last quarter to 18.1%, free cash flow also turned positive to $1.531 billion, yet net profit still fell about 43% year-over-year, and revenue of $28.046 billion basically stayed flat. Cars are being sold more profitably, but the company hasn’t made more money because of it.
One reason is that investments are still eating into profits. Tesla’s capital expenditures this quarter were about $4.7 billion, and R&D and AI investments are also heavy. Positive cash flow is a good thing, but single-quarter cash flow cannot directly prove that profitability has reversed, especially since this free cash flow is still significantly lower than the same period last year.
Another point worth noting is the growth story: FSD paid users reached about 1.74 million, energy storage deployment was 13.7 GWh, and Robotaxi and Cybercab are also progressing. The question is whether these businesses can continuously contribute profits, which is a different matter from how attractive they sound.
This earnings report improved Tesla’s operational fundamentals but has not yet solved the profit decline. If automotive gross margin holds, net profit stops falling, and new businesses start to realize revenue, the valuation will have more fundamental support; otherwise, the market is still mainly buying into Musk’s future vision.Today $BTC +1.50%, $ETH +1.00%, seemingly mild, but on the volume leaderboard $ZEC ranks third with 1.47 billion, more than double $SOL's 680 million. This kind of sudden volume surge on a broadly rising day from a veteran privacy coin is often not driven by ordinary funds. Below, we break down the linkage between stocks, crypto, gold, forex, bonds, and oil to see what money is really betting on. Article Outline - 🔍 1. $ZEC's 1.47 billion volume, what is money betting on - ⚔️ 2. Stocks and gold rise, oil does not, the macro backdrop is hesitation - 📈 3. $BTC and $ETH rise moderately, what does $IBIT's volume surge indicate - 🛢️ 4. Saudi oil fields and Guangdong power: the inflation ghost flickers - 🧭 5. How to operate in this fragmented market Today's Snapshot • $BTC 84,202, +1.50% • $ETH 2,473, +1.00% • $QQQ +1.05%, $SPY +0.53% • $DXY -0.02%, $GLD +0.34% • $IBIT (BTC spot ETF) +2.42% • VIX fear index 16.67, -3.75% • US crude oil (USO) 159.8, -0.50% • Dow Jones 52856.09, +0.69% 1. $ZEC's 1.47 billion volume, what is money betting on The amount of $DOOD being transferred to Upbit has increased significantly since yesterday. Meanwhile, Upbit accounts for more than 45% of this token's spot trading volume. This suggests that the price is unlikely to move higher from here. Instead, I believe it is at risk of continuing to dump, potentially much deeper.#TeslaQ3MarginRecovery Some quick tips to judge a coin's trend, with a historically high accuracy rate
1. Coins involved in trading competitions: sell
2. Coins for quick flash profits: sell
3. When Bitcoin drops, strong coins: buy
4. Coins with a bunch of garbage promotions: sell
5. Coins that many people say won’t rise: sell
6. Coins borrowed for shorting with high interest rates: buy
7. When Korean exchanges + perpetual contracts all go up: sell
Additional notes:
1. Alpha coins with good hype and slightly concentrated holdings, buy in blindly if they open low
2. If a coin aiming for a perpetual contract sprint doesn’t rise within three days, sell immediately【The first regulated large-scale $UNI transaction lands, are institutions finally going to buy altcoins?】
On October 20, FalconX and GSR completed the first large-scale UNI futures transaction at the CME Group, marking the first time a DeFi token has completed such a transaction through this regulated traditional financial channel.
The significance of this event lies in institutions finally having a more standardized UNI trading and hedging tool. CME offers both standard and micro contracts, corresponding to 10,000 and 1,000 UNI respectively. However, the nominal amount of this transaction has not been disclosed, and the first deal only proves that the market channel has been opened; it does not prove that institutions are aggressively going long.
For UNI, what truly matters going forward is whether the open interest and trading volume can continue to grow, and whether the new demand drives spot buying. Futures trading can be bullish or bearish; easier trading does not necessarily mean the token will appreciate, nor will it automatically generate revenue for the Uniswap protocol.
This is a step toward institutionalization, but there is still a way to go before institutions consistently buy in. If open interest continues to increase and the spot market strengthens simultaneously, there is more reason to be bullish; if the enthusiasm only stays at the first transaction, don’t take this milestone as a direct signal for a price increase in the short term. 1. Inflation Stickiness (Top Variable)
September CPI rebounded, energy prices rose, and the continuous surge in oil prices will amplify this risk, pushing up core inflation.
2. Overheating Consumption and Employment
Non-farm payrolls and wages rebounded sharply month-on-month, making it difficult for inflation to fall, providing the Federal Reserve with reasons to continue tightening.
3. Internal Committee Divisions
There is a hawk-dove split within the FOMC; this meeting may see multiple members opposing a pause in rate hikes and casting dissenting votes supporting rate increases; even if rates remain unchanged, the post-meeting statement tone will be noticeably hawkish.
II. Buffer Variables Supporting a Pause or Even a Dovish Stance
1. Financial conditions have already tightened spontaneously
2. Marginal weakening in employment
3. Economic downward pressure is evident
III. The Biggest Focus of the Meeting (Impacting US Stocks, BTC, Gold)
The key is not whether to hike this time, but Powell's forward guidance on a December rate hike:
• Hawkish scenario: Acknowledge that inflation risks remain high, keep the option of a December hike, refuse to discuss rate cuts → US Treasury yields rise, the dollar strengthens, risk assets come under pressure;
• Neutral baseline: Pause in October, emphasize data dependence, do not pre-commit to a December hike, maintain an open attitude;
• Dovish surprise: Believe the inflation improvement trend is clear, implying likely no more hikes this year → risk assets rebound.
In summary: Pausing rate hikes in October is the baseline scenario, but inflation and oil prices are the biggest disruptive variables; even if paused, the Federal Reserve will not declare the end of tightening, and the suspense over a December hike remains.
#10月FOMC临近，美联储暂停加息还有哪些变数？ [Pharaoh's Market Watch]
With Tesla's latest earnings report out, gross margin has rebounded and cash flow has turned positive. Is Elon Musk about to take off again?
Pharaoh says straight up, don't rush to hype this. This isn't a demand explosion; it's profit saved by Musk "tightening his belt."
Let's look at the data first. Q3 automotive gross margin rebounded to around 18%, better than the market expectation of 17.5% and higher than Q2's 17.2%. Free cash flow turned positive, hitting $1.4 billion, far exceeding the market expectation of $800 million. Although net profit is still down year-over-year, it has indeed improved quarter-over-quarter.
But Pharaoh has to dig deep for you. This gross margin recovery isn't because cars are selling at higher prices, but because costs have been cut. Tesla's Q3 deliveries hit a new high, but that was driven by a "rush to buy" before the $7,500 US tax credit expired. Even more intense, Tesla is selling carbon emission credits aggressively alongside cars, and this income directly fills the profit gap. If you exclude these credits, the real gross margin isn't as attractive.
What does this mean for Bitcoin? Tesla is a bellwether for tech stocks. The rebound in gross margin and improved cash flow show Musk has indeed worked on "protecting profits" and "stabilizing cash flow," allowing tech stocks to catch a breather. But don't expect Tesla to lift Bitcoin. Bitcoin is now around 83,000, with a strong resistance at 85,000 and support at 82,000! $BTC $ETH $ZEC #特斯拉Q3汽车毛利率回升，自由现金流转正 #Solana迎Alpenglow升级，目标150毫秒确认
"SOL Consensus Upgrade Speeds Up by 100x"
Solana is undergoing its largest consensus upgrade since launch, aiming to reduce confirmation time from 12.8 seconds directly down to 150 milliseconds.
The underlying layer moves 60% of voting off-chain to aggregate certificates, significantly reducing the mainnet load. Jito and major market makers see a surge in high-frequency arbitrage turnover. Although nominal TPS decreases due to vote exclusion, the real throughput channel is fully operational.
Spot SOL is consolidating around $105, with total contract positions across the network exceeding 11 million SOL, as funds closely monitor key activation points. $SOL 【OpenSky · Daily Exploration Day 15】
OpenSky's exploration coordinate today: "The real trend never goes out of style"
The main industry themes for the next three years have converged into three things: RWA bringing assets on-chain, stablecoins enabling settlement, and AI Agents handing over the payment end to machines themselves.
Institutions use USDC to settle government bonds, Agents use x402 to pay API call fees themselves, and the initiators of on-chain transactions are no longer humans but programs.
But everyone is focused on "how machines pay," and no one asks the more fundamental question: before machines pay, what do they rely on to "communicate"?
Using centralized IM to coordinate on-chain assets? Commands can be tampered with, conversations can be monitored. An Agent signs a large transaction, then it gets hijacked on a third-party server—this is not a bug, it’s the Achilles' heel of the machine economy.
This is exactly where OpenSky fits in. In the SAFE4.0 Zodiac Matrix, we act as the "invisible bus"—
🔹 Communication is signature: messages carry on-chain signatures, chat streams serve as transaction proofs.
🔹 End-to-end encryption + self-held keys: Agents’ conversations cannot be eavesdropped on by third parties, and IPs are untraceable.
🔹 Cross-track command bus: Anfu, Anfeng, SafeSwap, SafeAI all run on the same encrypted channel, avoiding isolated islands.
While the industry competes on "how smart Agents are," we are building "how to collaborate trustworthily."
Hot topics will rotate, but communication is an evergreen essential.#10月FOMC临近，美联储暂停加息还有哪些变数？
Will the FOMC pause rate hikes in October? Uncertainties remain, but the most likely scenario is to hold steady
On October 27-28, the FOMC meeting will decide whether to raise rates in October
The market currently prices in over an 80% chance of holding rates steady in October, and about a 76% chance of a hike in December
Key uncertainties include hot inflation, high oil prices, AI-driven demand shocks, and cooling employment,
but the baseline scenario remains a pause in October and a hike in December
Key variables:
· September CPI at 3.7%, PPI year-on-year at 6.3% remains hot, led by energy but with signs of core inflation spreading;
· Whether high oil prices (around $100+) can persist and transmit effects;
· The balance between economic resilience (AI investment) and slowing employment;
· Warsh does not predict policy style, which may bring surprises, but most officials lean toward waiting for more data
My judgment: Most likely a pause in October and a hike in December
My basis:
Officials have signaled "waiting for more data," Warsh has not hinted at action this month
The market and most economists are highly aligned, and with the midterm elections approaching, the bar for hikes is higher
Market analysis:
If the hike is paused and the tone is dovish, $BTC may test 84.5k-85.5k;
If there is an unexpected hike or hawkish tone, a pullback near 82k;
ETH/SOL will follow BTC, with event coins like ZEC experiencing greater volatility;
US Treasury yields and the dollar may pull back in the short term, gold has support;
Risk assets overall are biased toward a choppy upward trend, attention needed on the statement's guidance for the December pathBTC leads the charge, ETH follows later. I've been watching ETH's movement for quite a while, and now it's finally showing some signs. First, let's talk about the position: the resistance zone from 2,447 to 2,454 held for almost two days, but now it's broken above, marking the first step from a rebound to a trend. The three resistance levels above: 2,480 is the first, 2,520 to 2,540 is the old consolidation zone, and the real space opens only if it breaks above 2,540. Support below: the breakout point will turn into support, 2,470 is the first line; if it breaks below, it will fall back to 2,421, and further down to 2,400. My approach is simple: after the breakout, if the pullback doesn't break 2,470, follow the trend, with a stop loss set below 2,440; if it surges straight to 2,520 without pulling back, don't chase it—wait for it to come back on its own. Everyone knows ETH's characteristic: it rises faster than BTC and falls faster too. So don't go all in at this position; go half in with the trend and keep the rest for the pullback. The most precious thing in the market isn't the price level, it's that you still have ammo. PHA has strong privacy, but don't overestimate its "post-quantum resistance" 😅
In short: PHA is not a post-quantum resistant coin. Its wallet signatures still use Sr25519 and other elliptic curves, so once quantum computers mature, exposed public keys could be reverse-engineered to reveal private keys, putting PHA assets at risk of theft 🔓.
Cryptographic foundation
Phala is based on Substrate and supports Ed25519, secp256k1 signatures, all vulnerable to Shor's algorithm. The project has no fully implemented post-quantum upgrade across the chain yet, and whether it can hard fork to adopt NIST post-quantum signatures in the future remains uncertain ⏳.
Don't confuse TEE with post-quantum resistance
TEE, MPC, and FHE protect AI computations and data privacy, belonging to hardware security/privacy computing, but they cannot protect wallet transaction signatures. Many mistakenly equate "strong privacy" with "post-quantum resistance," but these are two different things 🧠.
From a broader perspective
STRK plans an independent L1 by 2027 with post-quantum signature replacement; PHA excels in confidential computing but lacks native post-quantum protection at the token account layer. Even with TEE iterations, the fundamental risk of private keys being cracked by quantum computers cannot be automatically resolved ⚙️.
Summary
PHA's privacy AI is powerful, but "post-quantum resistance" does not currently apply. Protecting data ≠ protecting coin assets, so don't mistake hope for reality ✨. #BTC现货ETF连续净流入，市场反应有限 #SpaceXQ3营收大增161%，AI业务成增长主力 昨晚，市场出现了一个很有意思的组合：特斯拉交出了一份营收超预期的财报，但利润却明显下滑；与此同时，美国20年期国债拍卖收益率升至5.469%，创1986年以来新高。 一个在讲未来，一个在提醒市场：未来很贵。 先看特斯拉。 第三季度营收约280.5亿美元，高于分析师预期，但净利润同比下降约44%。AI、自动驾驶和机器人出租车依然是马斯克押注的方向，问题是，这些业务需要持续投入，而投入并不意味着利润马上兑现。 这恰恰是当前市场最敏感的地方：投资者愿意为未来买单，但当资金成本不断上升，未来的价值就必须重新计算。 再看美债。 20年期国债拍卖收益率达到5.469%，不是说所有资金都会立刻逃离股票和加密货币，而是市场需要为长期持有风险资产要求更高的回报。 当相对安全的资产也能提供较高收益，投资者就会重新比较：继续承担高波动，究竟值不值得？ 这也是特斯拉、科技股和BTC之间真正值得讨论的联系。 它们不是同一种资产，特斯拉财报也不是BTC下跌的直接原因。但它们都受到市场风险偏好、流动性和资金成本的影响。 回到BTC，冲上84,876美元后又快速回落，杠杆多头遭到清算。很多人只盯着K线寻找下一次反弹，$DOOD 单日暴涨超两倍，Upbit 上成交额突破1亿美元、占平台全天总量10%——但没有任何利好公告。这不是基本面驱动，而是一场韩元资金的内部狂欢。 拆开看逻辑并不复杂：小市值代币流动性本就稀薄，韩国散户集中涌入后，价格弹性被瞬间拉满。资金集中加上订单簿深度不足，买盘直接把价格顶穿。24小时内最高触及0.00319，最低0.00133，目前回落至0.0025附近震荡。这种垂直拉升后高位横盘的结构，短线追高的风险收益比已经谈不上诱人。 我的判断很直接：持仓者可以考虑分批兑现，空仓者不必在这个位置接飞刀。真正值得盯的信号只有一个——Upbit 上的韩元溢价能否持续，以及交易是否开始向其他交易所扩散。如果只是平台内部自娱自乐，市场深度根本撑不住持续的大额成交。这也解释了为什么 $BTC 和 $ETH 在同期没有出现联动放量，资金并未外溢至主流资产。 短期大概率进入回调消化获利盘的阶段，追高情绪需要降温。等价格缩量回调企稳之后，再讨论第二波的可能性。当前更值得关注的是10月FOMC临近下美联储暂停加息的变数，那才是决定大盘方向的核心变量。 #WillFedPauseInOctober $BTC surged from $81,146 to above $83,500, reaching an intraday high of $83,686. However, the buying momentum still needs confirmation. Net large-trade flow remains negative at -$49.7M, while order imbalance sits near -12%, suggesting aggressive buying is meeting significant selling pressure rather than strong bullish conviction from large players. 👀 Key levels to watch: $83,940: Major sell wall worth $42.4M. $84,000: Additional resistance with around $18.1M in sell orders. $84,632: Another res$BTC $ETH $ZEC
It's not really a "bull market is back" situation now; it's more like catching a breath and a rebound after a prolonged drop.
· Bitcoin: Like the big brother leading the way, recently some people dare to buy, and sentiment is warming up. But many are still trapped above, so it’s easy to face selling pressure near $85,000. Only if it breaks through is it truly strong; if it can't, it may fall back.
· Ethereum: Like the younger brother, although some big players are secretly buying, official funds are still withdrawing money. So its rise is hesitant and weaker compared to Bitcoin.
· Overall: It's not a full takeoff, but a "structural rebound." Bitcoin is relatively strong but volatile, Ethereum has bottom-fishing funds but lacks strong momentum.
Ordinary people just need to watch three signals:
1. Can Bitcoin hold above $85,000;
2. Can Ethereum hold above 2450;
3. Are Ethereum funds continuing to run away or starting to come back.
In short: Bitcoin has some short-term strength, but don’t chase the highs; Ethereum has some bottom-fishing, but hasn’t truly turned strong yet. At the moment the monitor shows a flatline, don't rush to declare death; first check the perfusion pressure—JPMorgan Chase has launched the US dollar deposit token on the Ethereum mainnet, effectively connecting a new extracorporeal circulation catheter to the on-chain market: approved institutional clients can perform 24/7 uninterrupted transfers, settlements, and collateral management. On the surface, the blood vessel is open, but the real question is whether traditional bank liabilities can form a stable blood flow on-chain, rather than just flashing a peak on the monitor.
The price crash is only a symptom; the root cause often lies in the microcirculation. Tokenized US stocks like Xintec are like a coronary branch temporarily connected to extracorporeal circulation: once the main pump starts, perfusion pressure looks good briefly, but whether the myocardium truly revives depends on whether institutions continuously move settlement, collateral, and repurchase operations on-chain. Ethereum's existing on-chain liquidity and tokenized asset ecosystem serve as a ready collateral circulation, but collateral circulation does not equal a clear main coronary artery; if on-chain US dollar deposits are only used as collateral ferries, the distal perfusion of Xintec tokens will still suffer ischemia.
Will institutions more broadly use on-chain bank deposits for digital asset and real-world asset transaction settlements? This is like a preoperative assessment; you can't just look at a nice ECG. You need to check three things: whether the collateral endothelium is intact, whether the settlement path has clots, and whether 24-hour operation induces arrhythmia. On-chain deposit tokens turn bank credit into programmable perfusion fluid with fast flow, but once market stress occurs, a run can block the pipe instantly like plaque rupture; collateral discounts and redemption frictions are postoperative anticoagulation management—if done poorly, they form mural thrombi.
Don't treat the mainnet launch as a cardiac stimulant; it's more like a post-thoracotomy perfusion test. An open vessel doesn't mean myocardial survival. If on-chain US dollar deposits only complete collateral ferrying without entering real settlement microcirculation, Xintec tokens will still experience ischemia after reperfusion. What really matters is not the launch headline but whether the first institutional settlement forms a stable forward blood flow. #jpmcoinonethereumRight now, $OKB is in a waiting game. Everything hinges on the launch of OKBICE, the tokenized stock. If it goes live without delivering real utility for OKB, expect a hard crash. The bigger problem is that X Layer's activity isn't built around OKB at all. Its initiatives feel scattered, more like a bloated wallet app than a coherent chain: - MEME: basically stagnant - OKai: down sharply - Flash Earn: shelved, leaving only a feature that burns gas -Gsa: barely a factor Unless the team puts $OKBTwo supertall towers are racing to pile on the same plot of land. Who tops out first doesn't matter; the real critical factor is how many meters the pile foundation must penetrate below the other's load-bearing layer. This is the true blueprint conflict in this valuation race.
OpenAI is pouring 30 billion in financing into the pile holes with concrete, quoting a valuation of 1.4 trillion, aiming to nail the benchmark plate into the bedrock before Anthropic's November completion deadline. But piling quickly doesn't equal meeting load-bearing standards; before static load testing, all pile integrity is just an assumption. Anthropic is even more aggressive, with 60 billion in chip financing plus a 45 billion computing power agreement, effectively locking the steel supplier's capacity into the contract before the structure tops out—this is a different construction organization logic: lock the supply chain first, then push the framework upward.
What is computing power expenditure? It's the volume of concrete poured. The amount of commercial concrete you have determines how many floors the structure can climb. But concrete has a curing period, and capital has a recovery cycle. Treating computing power as a variable cost amortization versus fixed asset depreciation are two completely different structural calculations; a single line written wrong can cause the entire shear wall system to twist and deform.
Look at the difference in revenue metric definitions: 50 billion annualized revenue against a 1.4 trillion valuation. This ratio is like the ratio of daily rent per square meter to construction cost per square meter—commercial real estate looks at rental yield, supertalls look at landmark premium and skyline discourse power. Anthropic's 16.8 billion quarterly revenue grew 45% quarter-over-quarter, with occupancy ramping up quickly, but once the ramp curve's slope slows, stiffness changes abruptly and waits there.
Sovereign wealth funds and long-term capital are the clients. The client pays, but the client will review the structural calculations. Rising financing costs are equivalent to driving more anti-floating anchor rods into the foundation—each one eats into your net height.
Load-bearing structures always honestly record every overload, but on topping-out day, no one goes back to check the concealed works acceptance records. #openaianthropiciporaceJune 2015: 183 days after the black line crossed above the blue line to the bull market recovery peak
February 2019: 128 days after the black line crossed above the blue line to the bull market recovery peak
January 2023: 182 days after the black line crossed above the blue line to the bull market recovery peak
This cycle: 100 days have passed since the black line crossed above the blue line
┌── 🐼 On-chain data details ──┐
Black line: $BTC circulating market cap
Blue line: $BTC on-chain long-term holders (holding >155 days) total chip market cap 365-day moving averageWhen the delivery number 486532 dropped, the Pacific subtropical high pressure was pressing down on the entire front line, not allowing it to rise—exceeding expectations, but down 2.1% year-on-year. This is not a clear day; this is a typical "warm region precipitation": it sounds lively, but the moisture content is actually decreasing.
First, look at the isobars. The market had previously drawn a low-pressure trough for this automaker, but the delivery data filled the trough line by one notch, causing a brief rise in emotional pressure, so the post-market cloud cluster was lifted once. But forecasters all know a common sense: precipitation does not equal water supply. Delivery volume is precipitation intensity; automotive gross margin is the moisture flux. Since 2023, this flux has been cut by price wars, relying on a single quarter's delivery rebound to support gross margin improvement is like hoping a convective rainstorm solves the entire basin's drought—effective locally, insufficient broadly.
Next, look at the vertical structure. Radiosonde data shows two obvious mismatches: the lower layer is a shortwave ridge driven by deliveries, the upper layer is continuous cold advection from the cost side. Without coupling between the two layers, stable deep convection will not form. What really determines cash flow is the coupling degree between per-unit gross margin and inventory turnover; looking only at delivery volume is just a surface front signal—the wind hasn't arrived yet.
As for Robotaxi and Optimus, those are mid-term cloud systems; satellite cloud maps show embryos but no designation yet. In meteorology, a disturbed cloud cluster is still missing a warm core structure and sufficient sea temperature to become a tropical cyclone. It's too early to talk about them now, but one thing is certain: once designated, the storm path will completely change the valuation climate zone.
Looking at linked targets, the focus is more straightforward. The overnight performance of US peer stocks is essentially a cross-border front passage: the source is the US market after close, and transmission to the digital asset market takes only a few minutes; the greater the pressure difference, the stronger the wind speed. Note, this is not a monsoon, but a pre-trough jet stream—comes fast, leaves fast. Delivery exceeding expectations only provides a 0.5 hectopascal pressure difference; what really widens the pressure gradient is the wording about gross margin and cash flow in the earnings call. If the tone is dovish, cold air moves south behind the front, linked targets will show a typical "rise then fall"; if the tone is straightforward and gives an autonomous driving milestone, it may form a warm moist conveyor belt, sustaining sentiment for two to three trading days.
My short-term judgment here is: this process is mainly a local convective market, lacking the climatic basis for clearing up; wind shear is relatively large, probability of pullback is higher than continued volume increase; the volatility amplitude of linked targets will be significantly greater than their own seasonal average volatility, beware of rapid cooling after the front passes.
On radar echoes, a strong center has not yet formed, but the wind direction has already changed. #teslaq3profitandmarginsRegarding trading discipline, yesterday I was already watching for a pullback near 85, and the long positions were closed relatively perfectly. Unfortunately, before going to sleep, I still worried about the drawdown and changed the short position's close and take-profit/stop-loss...
So after the technical strategy matures, what remains is indeed to trust yourself and execute mechanically...
Once again, I entered the rankings at 35th place.The transaction cost of $XRP will be destroyed in a small amount of XRP, and the fee will not be distributed to any recipient. This mechanism does reduce supply, but how much impact it has depends on the actual amount destroyed. I won't raise my price expectations just because I see the word "destroy". Reported at $1.380, up 3.21% in the past 7 days, the price has recovered; the mechanism can explain part of the long-term demand, but short-term trading is still determined by more expectations together. Both the direction and the amount of supply change need to be carefully observed. $ZEC rose 7.98% in the past 24 hours and 11.73% in the past 7 days, showing a clear improvement in short-term performance. I am somewhat optimistic about its trading strength, but I do not infer that a certain type of buyer is increasing their holdings just from the price increase. The price can tell who is stronger, but it cannot alone answer who is buying or why. Discussing it now, having an advantage itself is enough reason for research; the more you try to explain the reasons completely, the more additional evidence you need, and you cannot fill the blanks with stories. $NEAR is reported at $5.182, up 11.28% in the past 24 hours and 17.50% in the past 30 days, with short-term elasticity even exceeding ZEC. I give it a relatively high relative rating based on direct results within the same statistical window, without first assigning a unified direction to the sector. However, price strength and project value are still two different judgments; the former determines trading order, and the latter determines how long expectations can be sustained. The two can support each other but must also allow for temporary deviations.💻 I want to break down this one according to code review: Pendle has extended the one-click loop feature to yield-bearing assets and tokenized stocks, allowing users to establish tokenized stock long positions on Base through Aave lending. The fees for non-PT (principal token) positions in PendleLoop are waived until December 31.
My judgment: The demand for simplified operations is reasonable, but for ordinary users, while the operational threshold is lowered, the threshold for understanding risks remains unchanged. One-click can encapsulate steps but cannot encapsulate leverage risk.
Logically, the lending loop links multiple steps together, which indeed reduces the hassle of manual execution; waiving related fees also lowers the trial cost, but lending interest still needs to be calculated separately, so "fee waiver" should not be read as "free operation."
Potential bugs exist on both asset and debt sides: if the stock exposure declines and borrowing rates rise, the position may simultaneously face collateral pressure and increased holding costs. This is my risk inference; the feature extension itself is not enough to prove the strategy is profitable.
If I were to modify it, I would prominently display the total exposure after looping, liquidation distance, and cost under interest rate changes on the confirmation page before enabling the "one-click" button. Please help me review: which risk indicators should this type of product prioritize displaying, and have I missed any critical vulnerabilities in my judgment?Hey yo, this is something!! Yesterday I casually shorted while a bit tipsy, and $IOST just showed me what a waterfall crash looks like today!
Had a few drinks yesterday, and subconsciously shorted some altcoins. But shortly after entering, I got stuck, and I thought, "Oh no, messed up again."
Unexpectedly, I woke up today, opened the app, and got a surprise performance. Check out this trade—
IOST short position, entry price 0.0013852, current price smashed down to 0.0009458!! The return rate hit +95.27%!! Almost doubled, brothers!!
A quick recap on why the surge and crash happened:
Yesterday’s pump was mainly due to the trading volume explosion on South Korea’s Upbit exchange, with funds rushing in blindly, plus the positive news of the v4.0.0 mainnet upgrade, so it was pumped accordingly.
But the core logic is: funding rates were all negative, shorts were paying, so the whales deliberately pumped to blow out shorts, waiting for retail investors to greedily chase longs and take the bag, then today they pulled the plug with a waterfall dump.
I profited purely because I was quick while tipsy yesterday, shorted before the whales pumped, a lucky strike, the direction was right.
Next step, no more talk, just keep holding the short, set a trailing stop to lock in profits, let’s see how far it can go!
$BTC $ETH #特斯拉Q3汽车毛利率回升，自由现金流转正 After the pullback, I first look at the support
My positions involve MAGIC, RIVER, and PONS. This review focuses more on the differences in spot support
At 10:19 on October 22, OKEx spot had a complete 1% buy order below, about 41,600 USDT for MAGIC and about 99,700 USDT for PONS
The completed candlestick as of 10:15 shows that MAGIC's spot trading volume in the past hour was about 9 times that of the previous hour, but the price declined
However, the volume increase was mainly concentrated in one 15-minute candlestick, which does not yet prove sustained selling pressure, and thicker order books do not necessarily mean reliable support
If buy orders are repeatedly withdrawn and thinned, and the 15-minute close breaks below the recent hourly low and the next candlestick cannot recover it, I will raise my judgment of continued weakness
If the low point rises and buy orders continue to replenish, I will reassess the bearish bias #特斯拉Q3汽车毛利率回升，自由现金流转正 $BTC $ETH $ZEC Tesla $TSLA earnings report has been released, confirming several previous viewpoints:
1. The merger is most favorable to Musk when SPCX is relatively high and TSLA is relatively low.
2. This time, SPCX's earnings report is better, while TSLA's is worse.
3. Regardless of the methods used, SPCX stacked all the positive factors in that event.
4. TSLA's capital expenditure was reduced from $25 billion to $20 billion; revenue was $28.05 billion, basically flat year-over-year, slightly below analysts' expectation of $28.13 billion; but adjusted EPS was $0.48, about 9% higher than analysts' expectations.
5. No mention of the merger at Tesla's earnings call; merger-related headlines would cause arbitrageurs to sell SPCX, and tonight 1.3 billion shares will be unlocked — before this batch unlocks, he chooses not to give arbitrageurs any ammunition; silence is protection for SPCX.
6. Last week's release of the flying car to attract attention to hedge poor performance now makes sense.
7. Investors are gradually losing interest in Tesla's core automotive business; this sector no longer has newer, cooler stories to tell, which is one of the important reasons driving the merger — one side has money but no story, the other has a story but lacks money.
In summary, after Tesla's earnings release, the stock price fell. The merger of the two will likely be the main storyline in the coming year. With continuous back-and-forth, the stock price will inevitably fluctuate, and there will be many arbitrage opportunities between the two stocks. #特斯拉Q3汽车毛利率回升，自由现金流转正 #10月FOMC临近，美联储暂停加息还有哪些变数？ FOMC Preview: Pause Probability Over 80%, But Inflation Data Leaves Uncertainties
The Federal Reserve's October 27-28 FOMC meeting has entered a blackout period. The latest market pricing shows a probability of over 80% for maintaining the current interest rate in October, favoring a pause in rate hikes. However, both September's CPI and PPI exceeded expectations, indicating persistent inflationary pressure. Some economists believe that the hotter-than-expected inflation could introduce uncertainties to the decision. Wash previously stated no prediction on future decisions and did not hint at a rate hike in October.
Logical Analysis: A pause is the current baseline scenario, providing short-term relief for BTC and other risk assets. But "pause" does not mean "pivot"—hot inflation data suggests the statement language may be hawkish. If the dot plot or press conference hints at another rate hike within the year, the market may reprice, suppressing risk appetite. The real focus is on the subsequent path guidance, not whether action is taken this time.
Trading Strategy: Avoid heavy one-sided bets before the meeting. If the decision is to pause but the statement is hawkish and BTC rallies on low volume, the rebound is a window to reduce positions; if the pause comes with dovish language and BTC rallies with volume, stabilizing at 83,000-84,000, consider light positions to observe short-term longs. 80,000 is a key support; break below calls for caution. Core principle: The pause expectation is mostly priced in; the surprise lies in the wording, not the outcome. Manage position size and set stop losses.Last week, tech stocks fell consecutively as market concerns about AI valuations and U.S. interest rates noticeably intensified, but the situation has started to change this week. On October 19, the Nasdaq index rose about 1%, with a rebound in semiconductor and AI-related stocks. More importantly, U.S. corporate earnings reports were not as bad as the market had imagined. According to LSEG data, as of October 21, about 86% of the S&P 500 companies that have reported earnings exceeded market expectations. If the upcoming earnings reports from large tech companies continue to surpass expectations, the AI and semiconductor sectors, which were heavily sold off earlier, are likely to become the main drivers of this round of U.S. stock market rebound. However, U.S. Treasury yields remain relatively high, and oil prices have not fully retreated. At this stage, I prefer to prioritize large tech companies with stronger profitability rather than chasing all high-valuation AI stocks $SNDK $SPCX $NVDA BTC short-term volatility core conclusions: Short-term range-bound volatility, rebounds driven by leverage, spot buying is weak; mid-term market determined by Federal Reserve interest rate expectations + ETF capital flows.
✅ Bullish factors
1. Institutions continue small incremental purchases (companies like Strategy continuously dollar-cost averaging BTC), long-term holdings are stable.
2. Short-term price holds near 83,000, intraday attempts to break above 84,000, neutral market sentiment, no extreme panic.
3. When US tech assets strengthen in tandem, it leads to a phase rebound in crypto risk assets.
⚠️ Bearish/Risks
1. This rebound is mainly driven by futures leverage funds, spot ETF inflows are unstable, buying sustainability is questionable, rallies easily trigger profit-taking.
2. US Treasury yields and inflation data remain the biggest constraints; strong inflation resilience lowers rate cut expectations, suppressing BTC valuation.
3. Strong historical selling pressure near 87,000; key support at 81,000, a break below will trigger rapid deleveraging and correction.
📊 Key observation points
• Resistance: $87,400; Support: $81,000
• Tracking indicators: long-term US Treasury yields, daily net inflows of spot ETFs, futures open interest leverage scale.
In brief: BTC is range-bound, short-term rebounds are leverage-driven, spot fundamentals are weak; only sustained ETF net inflows + rising rate cut expectations can open upside, otherwise high levels are prone to profit-taking.
#ETF买盘持续回流，BTC为何仍未走强？ The most helpless foreign minister in the world, Iran's Foreign Minister Araghchi
Araghchi: I don't trust the Americans' diplomatic stance; they are always inconsistent. So Iran will only negotiate if they give up the military option. But if you attack me, I will retaliate strongly against nearby military bases. I have no other choice.
Americans: Alright, then I have no choice but to withdraw personnel first, evacuate all nearby staff and their families, and then deploy the fleet. There's no other way.
Mediators: Iran, if you give up your nuclear program, we'll unfreeze your funds, pay you interest, and provide you with talent. Otherwise, you won't have any resources. The Americans won't tell you they're going to attack; if they really wanted to, they'd just bomb you directly like they did back then.
That said, crude oil production and transportation remain the biggest issues. With multiple parties deadlocked and unwilling to compromise, crude oil prices won't come down.
Yesterday, US crude oil EIA weekly inventory dropped by 4 million barrels, a painful shortage. Bitcoin prices can't rise for now. Feel free to short crude oil at 103-105, but don't short at 98-99 for the time being.Many people are bearish, abandon, and underestimate STRK, essentially because they only use the L2 scaling track as a benchmark to measure it, without understanding the underlying narrative it is switching to: an independent underlying network oriented towards the post-quantum era, privacy-native, with dual BTCFi+ETH foundations.
1. The mainstream market's bearish misconceptions (also the source of underestimation)
The vast majority of bears focus their judgments on these points:
1. Treating it as an ordinary ZK L2: competing with zkSync and Arbitrum, average ecosystem, high Cairo threshold, large unlocking sell pressure, average short-term trading volume;
2. Believing "post-quantum resistance is a distant metaphysical narrative with no practical value";
3. Thinking STRK is just a Gas token, with weak capture ability and no moat;
4. Feeling that L1 transformation is just hype and will most likely not materialize.
These views are not necessarily wrong, but they only see its current form and do not see its unique technical trump card.
2. Why hastily abandoning and undervaluing STRK at a low level is likely a misjudgment
1. STARK proof is one of the few native hash-based proofs in public chains; post-quantum resistance is an innate endowment, not a temporary trend.
The security foundation of BTC and ETH is elliptic curves, which Shor's algorithm can naturally break; their post-quantum modifications are retrofitted, requiring full network migration at very high cost and long cycles (ETH targets 2029), and BTC even lacks a clear roadmap.
STARK itself is based on hash functions, proof layerMedian slippage over 5 minutes, estimated by order book: $DNA small-scale dual-side costs are close, large purchases are more expensive. Simulated slippage for 10,000 scale buy/sell is 0.23%/0.24%, for 100,000 it is 2.86%/1.44%. The bid-ask spread widens for large trades, while small trades remain symmetrical. $IRYS large purchase costs increase, small purchases remain almost unchanged. Simulated slippage for 100,000 scale buy rises from 1.28% to 1.52%. 10,000 buys remain about 0.24%. Comparing adjacent windows, execution constraints are tightening. $DOOD large buy and sell costs both increase, small purchases remain almost unchanged. Simulated slippage for 100,000 scale buy/sell rises from 0.68%/0.53% to 0.90%/0.60%. 10,000 buys remain about 0.15%. Order size should be reduced or split into batches until costs return to an acceptable range. #特斯拉Q3汽车毛利率回升，自由现金流转正
Tesla's earnings report is out. I think the biggest issue right now isn't car sales, but profitability.
Q3 revenue was $28 billion, basically flat, but net profit dropped 43% year-over-year, and operating profit plummeted 56%. In short, the business scale hasn't grown, and the ability to make money is weakening.
It's not without highlights though: automotive gross margin rebounded, free cash flow turned positive, and service business revenue grew 33% year-over-year, indicating Tesla is also working hard to find growth points beyond car sales.
But what concerns me more is another detail: free cash flow turning positive doesn't mean the new story is already profitable.
Capital expenditure in Q3 reached $4.7 billion, and the full-year plan was cut from over $25 billion to $20 billion. But is this an operational improvement or a change in investment pace? I think these shouldn't be confused.
I'm still cautious on TSLA in the short term.
Because buying Tesla now means the market is buying not just cars, but also FSD, Robotaxi, and humanoid robots. These future businesses have huge imagination space, but how much profit can they really contribute?
If automotive profits continue to recover and new businesses can deliver solid revenue growth, then current concerns might be opportunities. But if the pace of realization can't keep up with valuation expectations, even the best stories can't withstand the market recalculating.
What do you think is Tesla's greatest value now: future AI and robotics, or the current automotive business?
$TSLA First, a bit of cold water: making money and exiting a short position does not mean you should continue to short afterward. Core Trader 64 just closed all 500 $ETH short positions at 20x leverage, realizing a profit of $16,413.88. I lean bearish, but this trade taught me the importance of knowing when to stop, rather than seeing it as evidence to keep betting on a decline.
I focus on two points. One, from the opening average price of $2476.03 to the closing price of $2443.2022, the price only dropped about 1.33%. Leverage amplified both the gains and the cost of mistakes; roughly, a 5% adverse move could wipe out the initial margin, and actual liquidation depends on maintenance margin and other factors. Two, fully closing the position means this short exposure is out; you can’t treat the realized profit as if the trader is still betting on a drop. If the market rebounds, the most painful scenario is chasing high-leverage shorts after seeing profit screenshots.
Of course, he might have closed too early and the price could continue to fall—I acknowledge that. I will increase my confidence in the continuation of the short when the price keeps weakening and rebounds fail to recover near this closing price; that’s my observation criterion. Regarding this short closing record, do you side with the bulls or the bears? Explain your reasoning: do you interpret the full exit as a sign that the downside is limited, or just a normal profit-taking?