Systematic Trading Platform

Challenge

Discretionary trading decisions lack consistency and repeatability. Without systematic rules, position sizing varies with emotion, backtesting is ad hoc, and there is no audit trail connecting research to execution. The goal was to build a platform where every decision is quantifiable, testable, and reproducible.

Solution

Built a complete trading infrastructure from data ingestion through execution, designed for multi-strategy ensemble operation with institutional-grade risk controls.

• Multi-strategy ensemble architecture supporting independent signal generation and combined portfolio construction
• Walk-forward backtesting framework with era-segmented validation across 30+ years of market data
• Fractional Kelly position sizing with regime-aware adjustments based on market volatility conditions
• Full audit trail: every signal and trade logged with input data hash and model version for reproducibility

Impact

• Eliminated discretionary bias from portfolio decisions
• Backtesting framework validates strategies across multiple market regimes before deployment
• Risk controls enforce hard drawdown limits and position concentration rules automatically
• Complete reproducibility: any historical decision can be reconstructed from logged inputs