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# The Rise of AI Quantitative Trading and the Death of Retail Trading
A renowned trader reportedly lost 800 million out of 1 billion, leaving only 200 million remaining.
A group of prominent traders followed suit by posting surrenders to AI.
Several notable investors—Liu Sha River, Huabei Brother, N Zhou Two, and other professional trading veterans all admitted defeat in mid-March.
How does AI quantitative trading beat manual speculation?
• Quantitative private equity scale: 18 trillion vs. A-share average daily trading volume: only hundreds of billions
• US equities: 15 transactions per second vs. A-shares: 300 transactions per second
• Crypto: 24/7 continuous harvesting
The current state is that top-tier firms equipped with supercomputing centers conduct massive backtesting at millisecond speeds. The retail "quick kill" trading strategy has completely failed.
This is the physical manifestation of class stratification:
- No capital → Can't afford computing power
- No speed → Can't seize the first-mover advantage
- No models → Can't identify trends
- With human emotion → Can't control fear
Is the path for ordinary people to get ahead through trading truly blocked?