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TradingAgents

TradingAgents: Multi-Agents LLM Financial Trading Framework

7.0 Open source99.7k
TradingAgents: I Ran the 56k-Star Open-Source Hedge Fund (Full Setup)
TradingAgents
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Our verdict

A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.

TradingAgents: Multi-Agents LLM Financial Trading Framework. It is written in Python. It has 99,713 stars and 20 contributors, and it was last touched a couple of months ago. The Apache-2.0 licence puts no real constraint on commercial use. The most recent tagged release is v0.3.1, from 2026-07-05. Figures come from the GitHub API on 2026-08-26 and refresh daily.

Reviewed by AI Review Rating from GitHub API data How we score

RepositoryGitHub API, refreshed daily

99.7kStars
19.3kForks
751Watching
20Contributors
372Open issues
Licence
Apache-2.0
Language
Python
Last push
2026-07-18
View on GitHub

Releases

  1. v0.3.1 TradingAgents v0.3.1
  2. v0.3.0 TradingAgents v0.3.0
  3. v0.2.5 TradingAgents v0.2.5
  4. v0.2.4 TradingAgents v0.2.4
  5. v0.2.3 TradingAgents v0.2.3
  6. v0.2.2 TradingAgents v0.2.2

Pros and cons

Pros

Cons

Pricing

  • Free tierYes
  • LicenceApache-2.0
  • Self-hostYes, source is public
  • Public price listNot published

TradingAgents does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this

Visit arxiv.org

Changelogwhat changed, most recent first

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User reviews

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Questions

Is TradingAgents free?

Yes. TradingAgents advertises a free tier on its own site.

How much does TradingAgents cost?

TradingAgents does not publish pricing openly, which usually means it is quote-based. You will need to contact the vendor.

Is TradingAgents open source?

Yes. TradingAgents is a public repository released under Apache-2.0. You can self-host or inspect the source directly.

How is TradingAgents scored here?

TradingAgents scores 7.0 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.

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