US stocks open higher, Nasdaq up more than 1.5%

On November 11, US stocks opened higher, with the Dow up 0.2%, the S&P 500 up 0.9%, and the Nasdaq up 1.56%. CoreWeave (CRWV.O) surged 14.5% after reporting earnings that beat expectations. Nvidia (NVDA.O) rebounded 2.6% today after closing lower for two consecutive days. Chip stocks broadly rose, with SK hynix (SKHY.O) up 7.6%, Broadcom (AVGO.O) up 5.8%, and TSMC (TSM.N) up 4.3%.#美国10月CPI全面超预期 $BTC ‌

$SNDK From a low of -2000u, it's almost back in the green now, and I got 1200. Keep it up, Dizi

I finally broke even on SanDisk after being stuck in it for a week. Liquidity in crypto is a bit thin tonight—just a few hundred points of back-and-forth chop. Asian and European markets rebounded, and U.S. stocks rebounded too, but crypto has been pretty lackluster #直通IPO第三期Anthropic #Gate全球合规版图扩展

Long $SNDK $SNDK: The price has rebounded strongly from the bottom zone near 800, showing a bullish CHoCH signal and breaking above EMA20/50. Prioritize going long on a pullback to support, with targets at the resistance zones above. Entry 1: 925 – 940 Entry 2: 895 – 910 Entry 3: 865 – 880 Take-profit 1: 1,037 Take-profit 2: 1,193 Take-profit 3: 1,336 Stop-loss: 810 Note: Since the price remains below EMA100/200, the broader trend is still bearish. This is a rebound long strategy; consider entering in tranches and strictly managing risk.

Why might changing your trading rules after a string of losses be more dangerous than the losses themselves?

Many traders don’t lose to the market. Instead, after a string of losses, they gradually abandon the trading discipline that originally worked.

First loss: They think it was just bad luck.

Second loss: They start doubting the strategy.

Third loss: They change their stop-loss, adjust parameters, and increase their position size.

Fourth loss: They completely overturn their original trading system.

Here’s the question: Are you optimizing your strategy, or trying to escape the discomf

Backtest profits, live trading losses: How can you tell whether it’s an execution problem or the strategy has stopped working?

Why can a strategy perform well on historical data, yet produce completely different results once real capital is invested?

After taking losses, many traders’ first reaction is to change parameters, add indicators, or even scrap the entire strategy.

But the problem may lie at different stages. Making changes blindly without identifying the cause may only make the strategy more and more complex.

I. Step One: Compare Key Metrics Between Backtests and Live Trading

St

The motorcycle community is messier than the cycling
community.

Anthropic’s commercialization prospects are something I’m quite skeptical about. Would any non-U.S. company really build its data and business use cases on a highly unstable LLM company that bans accounts all the time? If I were a business owner, I wouldn’t choose to build my enterprise workflows on Anthropic. Its models may be quite capable, but the risk of getting banned is simply too high
And in everyday use, even Gemini Argon, in the post-training model tier, already meets a large part of my daily needs. When it comes to building an ecosystem, Anthropic isn’t a must-have for people outside

Why can backtesting perform very well while live trading may be completely different?

A trading strategy performing well on historical data does not mean it will achieve the same results in future markets.

Backtesting can help us evaluate trading rules, but it relies on historical data, model assumptions, and execution conditions. When these conditions differ from the real market, backtest returns may not be reproducible.

What factors deserve attention?

1️⃣ Data quality determines the credibility of a backtest

Historical data may contain missing values, abnormal prices, or timestamp align

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NEAR Intents earned a record $2,189,521 in revenue in October, more than $70,629 a day.
That is more than 3x August's $723,262, and it goes to buying back NEAR on the open market.
@NEARProtocol

The 100-day challenge to turn 1,000u into 100,000u is underway. Copy trading is now live, with plenty of spots available. Brothers who want to witness history can start by copy trading with 20u. Spots are limited, first come, first served.#Gate全球合规版图扩展 $MU $BTC ‌

$JCT I'm currently down 200U; either get me to 004, or I'll stick with you

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Institutional capital allocation clearly shifted today as speculative liquidity aggressively targeted high beta assets across the board. The broader macroeconomic environment continues forcing investors toward specialized sectors yielding immense volatility and outsized volume.
Leading this momentum $AGT ‌posted a massive breakout reflecting renewed institutional interest in specialized governance structures. Smart money clearly recognizes the underlying value proposition here. Capital flows indicate a deep accumulation phase where early participants anticipate major structural upgrades. ‌Mea

MSCI’s Major Review! MSTR Reaches a Critical Juncture, $2.8 Billion in Passive Selling Pressure Hangs in the Balance

MSCI will announce its final November review list today. Under the new rules for “non-operating companies,” MSTR (formerly MicroStrategy) has been placed on the potential deletion list.
✅Timeline:
11.11 Final list announced
11.30 Index adjustment officially takes effect after market close
JPMorgan estimates that if the deletion is confirmed, passive funds tracking MSCI will be forced to sell approximately $2.8 billion worth of MSTR shares.

⚠️Key clarification:
Passive funds wo