tradingagents
TradingAgents is a multi-agent LLM framework for financial trading research and decision-making, with a CLI and report workflow for analysts, managers, and portfolio review.
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Share on XLicense: Apache-2.0
Overview
TradingAgents is a multi-agent LLM framework for financial trading. It organizes research, decision-making, and portfolio review across analyst and manager roles, helping teams work from market data, news, and company information in one structured workflow. It is used through a CLI and package interface, with model-provider configuration, dated reports, and backtesting support for tracking decisions and run settings during analysis.
Key features
- Runs multiple agents for research, trading decisions, and portfolio review.
- Lets analysts and managers use different model providers and model tiers.
- Saves run settings and decision records in dated HTML reports.
- Supports CLI usage, checkpoint resume, and backtesting over ticker and date ranges.
Best for
Best for people building or testing LLM-based trading workflows with separate research and management roles. It is useful when you want provider flexibility, report tracking, and backtesting in one workflow.
- Upstream
- TauricResearch/TradingAgents
- Fork on GitHub
- Guo-astro/tradingagents
- Upstream stars
- 121k
- Category
- AI agents and LLM tools
- Language
- Python
- License
- Apache-2.0
- Forked
- 2026-10-07
- Sync status
- In syncLast synced 2026-11-08
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