Visualize Backtest Metrics And Agent Memory In A Streamlit Dashboard

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