flash131307/multi-agent-investment

Multi-agent equity research system with deterministic signal fusion — 3 specialized agents (ReAct, FinBERT, Plan-and-Solve + RAG) produce BUY/NEUTRAL/SELL decisions through a mathematical Decision Hub. No LLM in the critical path.

47
/ 100
Emerging

This system helps equity traders and portfolio managers quickly assess investment opportunities. It takes a company's stock ticker as input and produces a clear BUY, NEUTRAL, or SELL decision, along with a confidence score and risk mode. The system integrates technical, sentiment, and fundamental analyses to provide comprehensive research for individual stocks.

183 stars.

Use this if you need rapid, consistent, and explainable buy/sell signals for individual equities without relying on subjective or unpredictable AI interpretations for the final decision.

Not ideal if you require real-time, high-frequency trading signals or a system that can make autonomous trades.

equity-research investment-analysis portfolio-management financial-trading stock-selection
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 13 / 25
Community 14 / 25

How are scores calculated?

Stars

183

Forks

20

Language

Python

License

MIT

Last pushed

Mar 08, 2026

Commits (30d)

0

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