kay-ou/SimTradeML
SimTradeML is the predictive engine of the SimTrade ecosystem, turning financial data into ready‑to‑use machine learning models. It offers a lightweight training platform that outputs .pkl files fully compatible with Ptrade, seamlessly integrating into strategies in SimTradeLab and Ptrade.
This project helps quantitative traders and analysts quickly build and train predictive models for stock trading. It takes financial market data and outputs ready-to-use machine learning models, specifically designed for integration into the SimTradeLab backtesting and PTrade live trading platforms. Professional quantitative finance researchers and traders would use this to develop and test their trading strategies.
Use this if you are a quantitative trader or analyst who needs to rapidly develop and evaluate machine learning models for A-share market trading strategies that integrate seamlessly with SimTradeLab and PTrade.
Not ideal if you are not involved in quantitative finance or if you require advanced machine learning models beyond XGBoost, or if you need compatibility with trading platforms other than SimTradeLab or PTrade.
Stars
26
Forks
10
Language
Python
License
AGPL-3.0
Category
Last pushed
Jan 30, 2026
Commits (30d)
0
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