TradingAgents
An open-source multi-agent LLM framework that simulates a trading firm with analyst, trader, and risk-management agents for research purposes.
Last release Aug 31, 2026 · Last commit Sep 7, 2026 · ★ 102,907
Overview
TradingAgents (by Tauric Research) is an open-source, LangGraph-based multi-agent framework that mirrors a real trading firm using specialized LLM agents (fundamental, sentiment, technical analysts, trader, risk team). It supports many LLM providers (OpenAI, Google, Anthropic, xAI, DeepSeek, and more) and works with markets covered by Yahoo Finance. The maintainers explicitly state it is for research purposes. It is a TradFi/markets research tool, not an onchain trading product; no live trading or profitability is claimed or implied.
Sato Score
88/100· HighHow open, active & verifiable — not a safety or returns grade.
- Maintenance & liveness
- 35/35
- Code transparency
- 20/20
- Interface verifiability
- 0/10
- Docs & demo
- 10/10
- Listing transparency & provenance
- 15/15
- Independent verification
- 8/10
Independently verified — listing reviewed against evidence, never self-reported.
Observed record — 57 daily checks since 2026-07-14
- Succeeded
- 57
- Failed
- 0
- Their error
- 0
- Unattributed
- 0
This is the share of our daily checks that succeeded — not an availability guarantee. A check can fail because the host was down, because our runner timed out, or because the network in between dropped it, and only the first of those is a fact about this project. Failures are split by what we can attribute; anything we cannot attribute is counted, not hidden. 49 of these checks predate 2026-09-01, when the probe counted a bot-block (HTTP 403) as a failure and recorded no reason for any failure. Rates spanning that date mix two definitions. Since then: 100%.
Last 30 days — to 2026-09-09, one point per UTC day
A gap is a day we have no attributable observation — never a zero. Thirty points is the whole shape the free layer carries; the daily rows behind it stay in the snapshot series.
Details
- Chains
- Unknown
- Agent types
- Agent Framework, Research
- Open source
- Yes
- Pricing
- Free (open source); LLM/API costs apply
- Deploys as
- Self-hosted, pip, Dockerfrom project docs · 2026-06-25
- Works with
- LangGraph, OpenAI, Anthropic, Google Gemini, xAI Grok, DeepSeek, Ollama, OpenRouter +2from project docs · 2026-06-25
- Last checked
- 2026-09-08
Marketplace Signals
- ▸ Demo available
Verification status reflects evidence reviewed by Sato Hub. Self-reported claims are never presented as verified.
Where TradingAgents fits
Related concepts: How Agents Interact With Smart Contracts, How Agents Use Wallets, What Are MCPs? The Standard Way to Give Agents Tools
Recent Activity
All news →Releases and posts from TradingAgents, pulled from its GitHub and X.
TradingAgents v0.4.0
Summary Look-ahead and point-in-time fixes across the data and memory layers, clearer decision signals, working CLI checkpoint resume, and the GPT-5.6 / GLM-5.3 models. Point-in-time / look-ahead integrity FRED macro requests now pin the data vintage to the as-of date, so a backtest no longer sees later revisions ( #1275 ). Social sentiment (StockTwits, Reddit) is trimmed to the analysis window in
TradingAgents v0.3.1
Summary TradingAgents v0.3.1 is a correctness and stability patch on top of v0.3.0. Fixed Alpha Vantage look-ahead filter now runs. The fundamentals payload is a JSON string, so the dict-only guard silently skipped filtering and future-dated reports leaked into historical runs. ( #1115 , @zachthebird ) News analyst prompt matches the tool. It advertised get_news(query, ...) while the tool takes a
TradingAgents v0.3.0
Summary TradingAgents v0.3.0 is a stabilization and extensibility release: a verified data-access contract, an expanded provider and data-vendor registry, a current-generation model catalog, and a CI gate. Verified Data-Access Contract Symbol normalization now runs on every vendor path (identity, returns, CLI, news). The configured vendor list is the exact resolution chain (no silent fallback to u
TradingAgents v0.2.5
Summary TradingAgents v0.2.5 ships the grounded Sentiment Analyst, Qwen/GLM/MiniMax dual-region support, `TRADINGAGENTS_*` env-var configurability with API-key auto-detection, remote Ollama support, configurable alpha benchmarks for non-US tickers, and a ticker path-traversal fix. Sentiment Analyst The renamed Sentiment Analyst now reads real Yahoo News, StockTwits, and Reddit data before generati
TradingAgents v0.2.4
Summary TradingAgents v0.2.4 ships structured-output decision agents, opt-in checkpoint resume, a persistent decision log with outcome-grounded reflections, four new LLM providers, and a Docker image. Structured-Output Decision Agents Research Manager, Trader, and Portfolio Manager use llm.with_structured_output(Schema) on their primary call and return typed Pydantic instances. Each provider's nat
Listing History
Recorded changes to TradingAgents's listing — status, verification, Sato Score, and recent releases. Full history is kept in the listing record.
- Aug 31, 2026New release published
- Aug 30, 2026Crossed 100k GitHub stars98974 → 101764.
- Jul 14, 2026Edited: deploy spec
- Jul 5, 2026New release published
- Jun 25, 2026Enriched: marketplace notes
- Jun 25, 2026Auto-enriched: creator name, creator profile url, x url, deployment options +4 more
- Jun 22, 20263 releases trackedShowing the 2 most recent. Full release history is retained in the listing record.
- Jun 11, 2026Sato Hub began tracking this listing
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Cite this page
Sato Hub. "TradingAgents — Sato Hub." Sato Hub, updated 2026-09-08, accessed 2026-09-09. https://satohub.ai/resources/tradingagentsThis page is refreshed daily. Citations include the date so a reader can tell which snapshot a claim came from.
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