Research, tutorials, and signal-driven ideas from the team behind Quant HQ — covering market regimes, ML in finance, and trading infrastructure.
Learn how market regime detection works, why Hidden Markov Models are effective for identifying market states, and how quantitative traders use regime signals.
Understanding market regimes is crucial for building robust trading systems. Here's how quantHQ's HMM-based approach helps you adapt strategies dynamically.
Learn how to use HMMs to identify market states and adapt trading strategies dynamically with Python.
Quant HQ is a lean, API-first platform for market regime detection, stock ranking, and machine learning–powered alpha tools.
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