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Open-source framework for agentic quantitative finance research.
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Scanned 2026-06-19 22:38
pyproject.toml
python ecosystem,
5 dependencies
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Bring your own agent and build a self-improving agentic system. Automatically mine failures, optimize the agent harness, and gate against regressions.
autonomous harness engineering
Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN
Self-tuning multi-agent AI trading system. 8-source signal fusion (Polymarket + Kalshi + 10 ML models incl. Kronos foundation model), Bull/Bear/Judge debate on Claude Opus 4.7, Portfolio Manager gate.
Market-making strategy that placed #2 in Paradigm's Prediction Market Challenge. 110 iterations, 8 hours.
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
