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Buying the next dip with both hands🫶
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AI Stocks Plunge in Unison, While BTC Holds Firm at $81k! Global Risk Aversion Rises—Can Bitcoin Hol
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JUST IN: Spot Bitcoin ($BTC) ETFs log $636M in net outflow.
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BTC-3.69%
#USTechStocksSellOff 🚨📉 US TECH STOCKS SELL OFF — AI FEARS SHAKE WALL STREET! 🇺🇸⚠️
🔥 TECH BULLS FACE A MAJOR TEST!
US technology stocks came under heavy selling pressure as investors reassessed massive AI spending and questioned when those investments will deliver meaningful returns.
📊 MARKET SNAPSHOT — OCTOBER 22
🔻 Nasdaq Composite: -2.60%
🔻 S&P 500: -1.21%
🟢 Dow Jones: +0.02%
🔻 Semiconductor Index: -6.7%
💥 WHAT TRIGGERED THE SELL-OFF?
🔹 Growing concerns over AI infrastructure costs
🔹 Profit-taking in major technology stocks
🔹 Pressure on semiconductor companies
🔹 Rising oil pr
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SPX500-0.21%
INDEX-20.89%
BTC-0.14%
#每周来晒 #U.S. Earnings Season
The discussion raised three questions. The first two (which company is most promising, and whether AI investment can continue to grow) have already been debated extensively. But the third question—“Will a stock necessarily rise if earnings beat expectations?”—got an almost textbook answer this earnings season: not necessarily. And the reasons why matter much more than the conclusion itself.
Meta and Tesla offer two cases with opposite outcomes but the same underlying logic. Meta: “beat expectations, but fell.” Revenue, EPS, and Q4 guidance all beat expectations, but
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TSLA-3.10%
MSFT-2.10%
AMZN-4.49%
AAPL+1.22%
NVDA-4.31%
[2026/10/23 16:10 UTC+8] Over the weekend, Bitcoin will continue to fall, and shorts still have potential! Trading levels included
1. In my analysis the day before yesterday, I explained that the market is currently in a quiet phase during a “political stabilization period” and laid out a clear strategy of selling rallies and buying dips. Yesterday, I flagged 81,500 as the exit level for shorts;
2. Over the past two days, the market has moved in a “counterintuitive” direction, with assets including the US dollar, gold, crypto, and US stocks all falling together. The main driver was not macro i
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BTC-0.19%
ETH-0.03%
PAXG-1.39%
GLDX-1.32%
#每周来晒 #U.S. AI and crypto-related stocks rise
For crypto holders, seeing MSTR jump 7.5% in a single day is hard to ignore. But if you hold spot BTC and MSTR is just something you “keep an eye on,” there’s a structural issue worth thinking through: MSTR’s gains don’t come for free. They’re fueled by leverage, and when the market turns, the bill for that leverage lands in your hands.
On October 22, MSTR rose 7.5%, with the immediate catalyst being BTC breaking above 84000. MSTR’s gain was nearly six times BTC’s gain over the same period. The mechanism behind this is MSTR’s role as a “leveraged B
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MSTR-4.87%
BTC-0.14%
$ALT I'm down 18% on this trade, holding through the drop from 0.0094 to 0.0077 and getting badly burned. Yesterday, I saw 24h volume at 95M and thought there was support, so I opened a starter position at 0.0092 and added at 0.0088. Then it crashed straight through 0.008, with a low of 0.0073. My biggest mistake was adding before things had stabilized—I tried to catch a falling knife. My average entry is now 0.0089, and the position is 30% of my portfolio. I don't plan to add more. Plan: sell half on a rebound to 0.0082–0.0084; only a sustained move above 0.0086 would count as a reversal. If
ALT-13.08%
There are only three A-shares on my watchlist, out of 6,000. #瑞芯微# is up 8.6% today, #先导智能# is up 10.9% today, and #三花智控# is up 6.66% today. Anyone shorting these three stocks on my list is bound to fail.
--------------------------------$ALE $GRT $CHEEMS #ETF saw over $600 million in single-day outflows. Can the BTC price stabilize?
SANHUA+0.56%
ALE-0.03%
GRT+1.43%
CHEEMS+2.40%
🚨 [Urgent In-Depth Analysis] ETFs across the market see $635 million in outflows! Biggest outflow since late June!
I. Key Data at a Glance (10/22):
Net flows across the market: -$635.54 million (highest level since June 25)
II. Why is this a classic “golden buying opportunity” shakeout signal?
The September 15 fractal pattern is repeating: A review of historical data clearly shows that ETF fund flows have a strong contrarian tendency over short periods. Before the market surged on September 15, it likewise went through a shakeout marked by shrinking volume and consecutive ETF outflows, before
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GLDX-1.32%
PAXG-1.39%
BLK-0.93%
Opening a short position here, not sure if it’ll work 😎
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$SNDK
Damn
Guys
SanDisk is freaking wild
Did you buy the dip?
Guys
Yesterday was another day of US stocks coming back from the dead
SNDK plunged so hard it made you question everything
Big Hammer has been posting since the 18th
saying tech stocks were about at the bottom
and it might be time to try buying the dip
But the 18th came and went with no dip
Then, in the early hours, it plunged rapidly to 1215
before shooting back up against the trend
By the time Big Hammer saw it, it was already over 1300
So I went long at 1330
Planning to hold for the long term
I was in profit as soon as I bought
SNDK-1.83%
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Picture an agent paying a supplier in Jakarta from a USD balance at 2am. Bank rails mean a login, a cutoff time, and an FX desk that's closed. Stablecoin rails mean a programmable wallet, 24/7 settlement, and onchain FX. Banks blocking agents just hands the cross-border use case to stablecoins.
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[New Streamer] 🔹Solanas Major Alpenglow Upgrade Goes Live! With Transaction Finality Targeting Just
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The Micron entry levels I gave yesterday should all be in profit by now, right
$UNI The 1-hour timeframe is leaning strong, while the 4-hour timeframe is leaning weak; the two timeframes have yet to align. The easiest mistake to make right now is to treat a short-term move as a trend reversal. The current price is 7.223 USDT, up 2.22% over 24 hours, with an intraday high of 7.3 and a low of 6.89. The 1-hour support is 6.89, the 1-hour resistance is 7.3, and trading participation is 0.38x. The 1-hour’s relative strength can make it tempting to believe the rebound has begun, but the 4-hour timeframe is still leaning weak, indicating that the broader trend has yet to confi
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UNI+1.98%
$SPY $Q
I shared this sentence yesterday in the institutional closing report I post during after hours every day. So how is this possible? Some things can be understood from this report! 👇
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Event contracts—bro, we’re feasting. Another day of doubling the account 🤫#btc #事件
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BTC-0.19%
#MetaEarningsBeatExpectations 🚀🔥 META EARNINGS BEAT EXPECTATIONS — AI & ADVERTISING POWER THE GROWTH! 📊
💎 META DELIVERS A STRONG Q3 2026 PERFORMANCE!
Meta Platforms has reported better-than-expected quarterly results, putting its advertising strength and AI ambitions back in the spotlight! 🤖📈
📊 KEY EARNINGS HIGHLIGHTS:
🔹 $64.6 BILLION in quarterly revenue
🔹 +26% YoY revenue growth
🔹 $3.83 EPS reported
🔹 $7.40 adjusted EPS excluding the major legal charge
🔹 3.64 BILLION daily active people across Meta’s apps
🔥 WHY THE MARKET IS WATCHING:
✅ Advertising demand remains strong
✅ AI pro
META-7.09%
Why Does Higher Trading Frequency Make It Easier to Underestimate the Impact of Costs on Long-Term Returns?
Many traders have an intuition:
The more trading opportunities there are, the more chances there are to make money.
But in the cryptocurrency market, frequent trading also means more fees, more slippage, and more opportunities for execution errors.
The question worth asking is not how many trades you can make in a day, but:
Is the expected return from each additional trade enough to cover all the costs it incurs?
I. Why Can Small Per-Trade Costs Have a Big Long-Term Impact?
Suppose a tra
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