Why ML Can Predict the Weather, but Not Financial Markets

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Why machine learning models fail in finance: noisy data, scarce samples, and chaotic markets make prediction nearly impossible.
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Financial data is just harder to work with than data in other domains, mainly for three reasons: Too much noise, not enough data, and constantly changing markets. Grigory Heron: The problem is that they only work in isolation. Nobody has managed to put them all into a single trading machine.