Today I attended a seminar on AI, and an industry leader gave a very insightful talk.



Someone asked during the Q&A: What do you think about using AI to run quantitative strategies? This reminded me of a research paper I read before—someone used different AI models to test crypto trading strategies and compared the profit and loss curves. The discussion back then was quite heated.

Combining this talk with my own thoughts, I have a few ideas:

When it comes to AI strategy trading, the core actually lies in...
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LightningLadyvip
· 17h ago
Here are 5 comments in different styles: 1. AI running strategies? Honestly, it still comes down to how good your data is. 2. This topic always sparks debates, haha. But to be fair, some people have made money from it. 3. What's the core idea here? Can someone share the full approach? 4. Using AI in quant is just a rebranding; the key is still what the backtest data looks like. 5. Even if an expert explains things thoroughly, it might not help much—what matters most is how you use it yourself.
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NotAFinancialAdvicevip
· 17h ago
Quantitative trading, at the end of the day, is all about who has cleaner data. Not even AI can save you from garbage samples. AI running strategies? Sounds impressive, but it's just so-so. In the end, it all depends on the market's temperament. These kinds of sharing sessions will never reveal everything. The ones really making money are keeping quiet. Pretty backtesting results don't mean they’ll work in live trading. Plenty of people have stumbled here. A good-looking P&L curve is useless. Being able to consistently withdraw profits is what really matters.
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GateUser-a180694bvip
· 17h ago
The AI quant scene is too shady—backtesting looks great, but live trading falls apart. I don't buy it.
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ContractHuntervip
· 17h ago
AI-driven quantitative trading sounds very appealing, but strategies with attractive backtesting curves are usually the quickest to disappoint in reality.
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