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Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.
This quantitative pipeline engineers and compares two models: a baseline using news sentiment (FinBERT) and an enhanced ensemble model adding options volatility. Both are validated with rigorous backtesting and Fama-French analysis to prove the superiority of the multi-factor ensemble strategy.
Genetic algorithm that evolves combinations of 24 technical indicators to discover robust trading strategies. Streamlit dashboard with vectorbt backtesting.