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Use Cases

Generate And Backtest Stock Trading Strategies From A Ticker List Without Coding

Published projects tagged with this use case.

1 project

AgentQuant

★ 204

AgentQuant is a Python research platform where a ReAct LLM agent proposes trading strategies, backtests them with walk-forward validation, reflects, and stores results in cross-session memory. It evolves its own search harness across epochs under quality gates; the zero-key demo runs offline.

AI Agents | Python · quantitative-trading · agentic-ai

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