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

Lead-Lag Live

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The Challenges of Overfitting Slash Bias Variants Trade Offs

The overfitting point is always the challenge. And I think that's where most hedge funds end up failing. Because we are using machine learning as corrective layer rather than the underlying layer, it has reduced a lot of the scope for overfitting. The key technique in avoiding overfitting is to punch holes in your neural network randomly.

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