Full-cycle quantitative trading system covering US, A-share, and HK markets — from signal discovery and fusion decision-making to risk management and trade execution
Technical, sentiment, options flow, fundamental, and quant factor signals are normalized and dynamically weighted. Weights auto-adapt to market conditions in real-time, producing unified trading decision scores
High-score signals automatically trigger Bear-Bull-Moderator 3-party debate mechanism, simulating institutional research adversarial review to suppress systematic bias and over-optimism
Covering US, A-share, and HK markets, tracking cross-market contagion chains in real-time. From macro rates to VIX volatility, automatically identifying risk escalation and triggering alerts within minutes
Post-market auto-review of all signal performance every trading day. Dynamic weight adjustment and Kill Switch mechanisms enable continuous strategy evolution — the system gets more accurate with use
From Covered Calls to Iron Condors, paired with real-time implied volatility surface monitoring and options flow anomaly detection. One-click deployment of professional-grade options combinations
Strategy admission gate (confidence + market environment + historical win rate) and position gate (concentration + sizing + real-time capital) run independently, providing end-to-end protection from order to profit/loss management
SuperTrade is not a simple trading tool but a complete quantitative investment decision system. It chains data collection, multi-dimensional analysis, signal fusion, adversarial audit, risk management, automated execution, P&L tracking, and strategy evolution into one automated pipeline. 106 automated tasks run around the clock — from intraday data collection to daily strategy review, from minute-level signal fusion to weekly model validation. Built-in academic-grade quantitative research capabilities support Walk-Forward overfitting detection, factor IC rolling evaluation, and model drift monitoring.
Let AI be your quantitative research partner — from signals to execution, intelligently driven end-to-end
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