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This is a real case. Wall Street is willing to spend $2 million to $5 million a year, hiring an expert who specializes in using artificial intelligence to find opportunities in the market.
Who is this person? A Cornell University professor, previously a machine learning director at AQR, managing quantitative strategies exceeding $50 billion, not just an academic who only talks theory.
In a 43-minute presentation, he clearly broke down 10 ways hedge funds use machine learning to "print money."
I suggest you stop binge-watching dramas and find this video to watch tonight; save it well.
Interestingly, the same mathematical model is now being run on Polymarket—using Claude to scan on-chain wallet data, providing judgments within 30 seconds.
Currently, five wallets have been identified that are running this exact framework.