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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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This story was originally published on HackerNoon at: https://hackernoon.com/why-ml-can-predict-the-weather-but-not-financial-markets.
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.
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