AI/ML Financial Trading Framework
43.8k 2026-03-29

TauricResearch/TradingAgents

A multi-agent LLM framework designed for financial trading research, simulating real-world trading firm dynamics for market analysis and decision-making.

Core Features

Multi-agent architecture with specialized LLM roles (analysts, trader, risk management).
Collaborative market evaluation and informed trading decisions.
Dynamic agent discussions to pinpoint optimal strategies.
Support for multiple LLM providers (GPT, Gemini, Claude, Grok).
Designed for research purposes in financial markets.

Detailed Introduction

TradingAgents is an innovative multi-agent framework leveraging large language models to simulate the intricate dynamics of a real-world financial trading firm. It deploys specialized LLM-powered agents, including fundamental, sentiment, and technical analysts, a trader, and a risk management team. These agents collaboratively evaluate market conditions, engage in dynamic discussions to refine strategies, and inform trading decisions. The framework aims to provide a robust and scalable approach to market analysis and decision-making, primarily for research in algorithmic trading and AI applications in finance.

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