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taylorjmellon/market-regime-detection — GitHub trending stats & insights | Trendshift
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taylorjmellon/market-regime-detection
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Fintech
Market regime detection via unsupervised learning—combining volatility-based features, clustering, and Hidden Markov Models for regime inference and strategy evaluation.
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Python
1
1 contributors
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11/ If you want to go deeper: Oelschläger & Adam (2020): a basic HMM watches one clock and mistakes a 2-day dip for a real trend change. Their fix — stack a slow HMM (the bull/bear cycle) over a fast…
@SigmaEngineIO · x.com
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