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AI Trading Secrets REVEALED: Can Robots Really Outsmart the Stock Market? Ernest Chan Weighs In

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The Seven Reasons Why Machine Learning Has Not Worked Well

When you're dealing with markets there's a chaos theory element to it, right? There are butterfly effects and create massive dislocations across asset classes. And in fact, that is the main reason why machine learning in its naive form has not worked very well. The market unlike Shakespeare or unlike the fast corpus of programming snippets in the web,. It has arbitrage. You can never discover a high significant signal without it being discovered by other people and that have the edge eroding. But we know that chat GPT can already done, it's already an accomplished task. Even if you ask chat GPT, discover a pattern in the Eurodoll futures market so that we can reliably generate

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