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#USEarningsSeason
#美股财报季 #ShareWeekly $AAPL $TSLA $META
Meta beat on revenue and still closed down about 7%. Tesla beat on EPS and closed down about 3%. The tech index lost 2.6% in the same session. My view: this earnings season isn’t graded on beats anymore, it’s graded on cash flow and what the spending is actually buying.
1. A beat is not a buy signal right now
Meta’s Q3 revenue came in around $64.6B, up 26%, ahead of expectations. Tesla printed $0.48 per share versus roughly $0.45 expected. Both got sold. When good headlines get sold, the market is asking what it cost to get there, not
AAPL-0.54%
TSLA+1.24%
META+0.50%
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[New Streamer] 🔹Musk Explores a Potential SpaceX-Tesla Merger! Could Combining the Two Giants Resha
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The short-term downtrend has completely reversed; just wait for an upward rebound! $ETH
ETH-0.57%
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#每周来晒 #美股财报季
I’m most bullish on Microsoft. Among the Big Five, it has the shortest distance between AI investment and revenue: Azure’s quarterly growth is 43%, and Copilot’s shift from fixed-seat to “seat + usage” billing means AI revenue is beginning to have the structural characteristic of automatically expanding with usage frequency. By contrast, Alphabet’s cloud business is growing quickly, but its capital expenditure for a single quarter ($44.9 billion) has already exceeded operating cash flow, sending free cash flow negative for the first time; Amazon’s capital expenditure is set to su
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MSFT-2.10%
AMZN-4.49%
NVDA-4.31%
AAPL+1.22%
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#SpotGoldFallsBelow$4000 #ShareWeekly
Spot Gold Breaks $4,000 Intraday — A Full Breakdown, Forecast, and Trading Playbook
Friday, October 23, 2026 — Spot gold briefly slipped below the psychological $4,000 barrier during the Asian session, touching an intraday low near $3,986.66 before buyers stepped back in. At the time of writing, the metal is hovering around $4,020–$4,023 per ounce.
This shakeout capped a brutal week: after closing Wednesday near $4,141, gold fell roughly 2.8% on Thursday to settle around $4,024, and the downward pressure carried into Friday. Measured against the late-Aug
XAU-1.66%
XAG-3.76%
10.23 Qiqi on Gold Midday Review: Rally Meets Resistance as Volume Fades; Short-Term Choppy Trading Awaits a Directional Decision!
In the morning session, the market rose to 4032.70 before turning lower. The current price is 4019.60. On the 5-minute chart, after moving above the previous high of 4028.59, the price failed to extend its gains. The short-term moving averages have gradually flattened after turning upward, and the 5-day moving average is beginning to weigh on the market. Although the MACD DIFF and DEA remain above the zero line, the red histogram bars continue to shrink, indicating
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XAU-1.66%
In-Depth Analysis of Today's Broad Decline in U.S. Tech Stocks
1. Surge in AI Capital Expenditures and ROI Anxiety
Macro logic
Tech giants continue to pour huge sums into building AI data centers and chips. Their massive commitments to future spending have intensified concerns about an AI bubble bursting and an imbalance between investment and returns. Investors are increasingly focused on whether hefty capital expenditures can translate into commensurate real profits in the short term.
Representative stock — Meta Platforms (META), plunging more than 6%~7% in a single day
Although quarterly re
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META-7.09%
TSLA-3.10%
NVDA-4.31%
#美股财报季 Meta: Free cash flow turns negative—why is the market buying in even more? The market is no longer looking at the “income statement”; it’s looking for “evidence of AI monetization.”
Revenue of 64.6 billion (+26%) beat expectations, and Q4 guidance of 73–76 billion came in above consensus at the midpoint—the core business is solid: ad impressions +10%, price per ad +14%, with both volume and pricing rising.
​ But profits are being squeezed by two things: a 9.89 billion legal settlement (youth mental health lawsuit) cut operating margin from 40% to 20%; capital expenditure was 34.9 billi
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$BTR Keep shorting the rebound. It’s impossible to break the previous high now. There are massive numbers of bagholders above, and the market maker isn’t going to do charity by pushing the price up to get them out at break-even. It will most likely continue to plunge.
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BTR+39.39%
BTC Falls Below $81,000: What Signals Are RSI and MACD Sending? Don’t Just Guess at a Rebound
Practical Indicator Breakdown, Trading Ideas, and Risk Management
After BTC fell below $81,000, the biggest danger isn’t the market dropping—it’s jumping to conclusions based on a single indicator. RSI says oversold, so you buy the dip; MACD forms a death cross, so you cut your losses. In the end, your trading account is more thrilling than the market.
First, RSI. If the daily RSI stays below 50, it usually indicates weak short-term momentum; if it moves closer to 30, selling pressure may already be h
NVDA-4.31%
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[New Streamer] Market Prediction
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hedera launches its network mcp on testnet, letting ai agents interact with the network to send hbar, mint tokens, and query data while users retain wallet signing control.
#HBAR #AI $GATE
HBAR-1.73%
10.23 Jinying Gold Midday Review: Weak rebound after dropping to 3986; bearish structure unchanged!
Spot gold surged to around 4032.70 in early trading today before meeting resistance and pulling back. It then saw a high-volume drop to an intraday low of 3986.56, followed by a slight corrective rebound. It is currently quoted at $4020.29 per ounce, down 0.13% on the day, and remains in an overall weak downtrend.
On the 4-hour timeframe, gold prices have continued their bearish-candle decline. After hitting a new low, they formed a small bullish candle in an oversold rebound. Short-term moving
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BTC-0.58%
ETH-0.57%
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GM everyone ☀️
I’m looking forward to getting into @unvault and grabbing a Bugz as soon as possible
I’m also curious to see how DIVIT develops and what UnVault has planned around it.
There’s a lot I want to explore so hopefully I can get in soon and spend more time with the ecosystem
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Enter Kong at 4019, assess the flight conditions, and without hesitation capture this rebound’s first Kongdan: 673 Dao.
$XAU #BTC跌破81000美元 #黄金 ‌
XAU-1.66%
$ARB More good news: Robinhood’s mentorship program is entering its second round, with $100,000 in prizes.
$100,000.
Bro, this isn’t funding; it’s a scholarship for projects that haven’t taken off yet.
At noon, I was still saying I couldn’t figure out what this whole wave was hyping. Now I understand even less. Three months ago, that rally made it look like the real deal; now it’s quiet, as if nobody’s heard of it.
Who’s winning? Anyway, it’s not something my eyes can make sense of. $ARB ‌
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ARB+0.86%
Just saw an Instagram vid from some dude who bought shares of listed companies so he could get into the shareholder meetings for 'free' food
$18 spent to eat for free each year, and rate it for your Instagram clout
Amazing times 😹😹
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$RUNE Current price 0.645, down 9.28% in 24h, with trading volume of only 8.7M USDT. The 30-candle range is about 12.56%, indicating relatively high volatility. MA5 at 0.6478 is barely above MA20 at 0.64715; RSI at 41.7 is not oversold; the MACD histogram at +0.001244 remains bullish but momentum is weak. The funding rate of +0.0080% shows longs are still paying to hold positions, while the Fear and Greed Index is neutral at 50. Assessment: This is a weak equilibrium after a decline, not a reversal. Chasing longs offers poor risk-reward; wait for a pullback to stabilize before buying at lower
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TQQQB
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Four.meme
MC:$3.36KHolders:2
0%
RUNE-4.96%
As AI and quantum codebreaking draw near, why are @Starknet's hash-based STARKs the ultimate solution for foundational security?
Imagine if a quantum computer with “lock-picking superpowers” emerged in the future,
the “digital locks” used by most blockchains today to protect assets would be cracked in an instant, like they were made of paper.
Why? Because they rely on a mathematical problem called “elliptic curves.”
It’s like an incredibly complex maze, one that would take an ordinary computer tens of thousands of years to navigate,
but a quantum computer could fly straight over it in seconds,
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STRK-1.74%
How to build a trading cost spreadsheet and see your true profits?
Many traders review their trades every day, but may miss a key question:
Your account looks profitable, but how much is actually left after all costs?
Without complete trading records, you may know which trades made money, but not what is steadily eating into your profits.
Today, we’re sharing a trading cost accounting method you can put into practice right away.
I. Record every trade
We recommend creating an Excel spreadsheet and recording at least the following information:
* Trade date and trading pair
* Entry price and exit
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