0x596173736972/MarketRegimeTrader
Quantitative finance platform that uses Hidden Markov Models (HMM) to detect market regimes and deploy adaptive trading strategies. Features include automated strategy generation, realistic backtesting, topological data analysis (TDA), robust risk management, and walk-forward validation
This tool helps quantitative traders and fund managers develop, test, and manage adaptive trading strategies. It takes historical market data (OHLCV) and identifies underlying market conditions like bullish, bearish, or range-bound using advanced statistical models. The output includes optimized trading strategies, detailed backtesting results with risk metrics, and insights into market structure, enabling users to make more informed trading decisions.
No commits in the last 6 months.
Use this if you are a quantitative trader or portfolio manager looking to build sophisticated, data-driven trading systems that dynamically adapt to changing market environments.
Not ideal if you are a discretionary trader seeking manual signal generation or a casual investor looking for simple buy/sell recommendations without delving into quantitative analysis.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
May 27, 2025
Commits (30d)
0
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