stock-trading-system

A-share quantitative trading automation uses a modular architecture to run an end-to-end pipeline covering signal generation, intraday monitoring, risk control, and automated execution. It outputs daily reports for post-trade review, minimizing manual intervention.

ATR-based risk management calculates stop-loss and take-profit levels dynamically based on market volatility. The system applies these metrics during intraday monitoring to manage position sizing and control downside risk across A-share trades automatically.

Yes, Monte Carlo backtesting is supported within the post-trade review cycle. The system applies Monte Carlo simulations alongside multi-model cross-checks to validate A-share strategy parameters and provide automatic parameter updates for quantitative trading.

Yes, Kelly Criterion position sizing integrates into the multi-model quantitative trading workflow. The system cross-checks signals from multiple models and applies Kelly Criterion calculations to determine optimal position sizes for A-share execution.

The best way to run post-trade backtesting is executing the daily pipeline, which feeds trading data into multi-model cross-checks. This process generates automatic parameter updates and a comprehensive daily report for strategy refinement.