What it does
Core capabilities at a glance
- Agent
- Finance
- Multiagent
- Trading
Deep dive
The full breakdown - performance, comparisons, and setup
TradingAgents
TradingAgents is an agent framework - TradingAgents: Multi-Agents LLM Financial Trading Framework.
Overview
- [2026-10] TradingAgents v0.7.1 released with decisions scored only on final closes and settled across long market holidays, a fix for model dates that could read filings made after the run date, and fixes to portfolios, prices, SEC statements and reports. - [2026-10] TradingAgents v0.7.0 released with runs on your own ChatGPT Plus or Pro plan, backtests scored from the first close after each decision, a note at start-up when a newer release is out, and a wheel attached to each GitHub release. - [2026-10] TradingAgents v0.6.0 released with reports saved as one HTML page, a provider per model tier so the managers and analysts can run on different models, past decisions settled for every ticker while the analysts work, and company news read from Yahoo search while Yahoo's news feed is down.
TradingAgents is open-source, written primarily in Python, with 118,746 GitHub stars under the Apache 2.0 license. The latest release is v0.7.1 (2026-10-27).
Key capabilities
From the project's documentation:
- News Analyst: Monitors global news and macroeconomic indicators, interpreting the impact of events on market conditions.
- Hong Kong: 0700.HK · Tokyo: 7203.T · London: AZN.L
- India: RELIANCE.NS, .BO · Canada: .TO · Australia: .AX
- China A-shares: Shanghai .SS, Shenzhen .SZ (e.g. 600519.SS for Kweichow Moutai)
Install
A quick way to get started (always check the official docs for the latest):
pip install .How it fits a local-AI stack
TradingAgents runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:
Sources
- Source code & docs: TauricResearch/TradingAgents
- Official website: https://arxiv.org/pdf/2412.20138
Stats from GitHub, 2026-10-30.
Frequently asked
Quick answers to common questions
What is TradingAgents?
TradingAgents is a agent-framework tool for local AI workloads. TradingAgents: Multi-Agents LLM Financial Trading Framework
Is TradingAgents free and open source?
Yes, TradingAgents has 118,746 GitHub stars and is licensed under Apache 2.0. You can self-host it for free on .
What hardware do I need for TradingAgents?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. TradingAgents has 118,746 GitHub stars and an active community.
Does TradingAgents support GPU acceleration?
TradingAgents's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to TradingAgents?
Popular alternatives include other agent-framework tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does TradingAgents cost?
TradingAgents is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware