CamusGIT/EvoQuant

EvoQuant — an AI agent that performs the quantitative research loop: from hypothesis generation to strategy backtesting. It operates autonomously in Python, using a multi‑agent architecture to hunt for alpha.

// KEY FEATURES

• Generates and validates strategy hypotheses using historical data and LLMs.
• Automatically builds backtests and evaluates Sharpe, Sortino and max drawdown.
• Multi‑agent loop: idea agent → hypotheses, model agent → models, eval agent → selection.
• Exports signals and reports in JSON/CSV for connecting to broker APIs.

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