TauricResearch/TradingAgents — TradingAgents: Multi-Agents LLM Financial Trading Framework

Description and use

TradingAgents is an open‑source framework that leverages large language models (LLMs) to create and coordinate multiple autonomous trading agents for financial markets. It provides tools for orchestrating agent interactions, strategy execution, and data handling, enabling developers to build, test, and deploy AI‑driven trading systems with minimal boilerplate. The project targets traders, researchers, and AI engineers interested in combining LLM capabilities with automated trading workflows.

Problem

TauricResearch/TradingAgents helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

TradingAgents: Multi-Agents LLM Financial Trading Framework

Source