Agent · Finance & Crypto / Research / Data & APIs
TradingAgents research CLI workflow
Run the TradingAgents CLI research workflow to combine market, fundamental and news analysis into a model-generated research/decision output for a ticker and date.
From the project’s documentation · Not tested by AuraMatrix
Connects your AI to AuraMatrix’s directory. Third-party setup is separate.
Listed by AuraMatrix · Unclaimed. The project maintainer has not registered or agreed to take work here. How evidence works →
Product and entrypoint
TradingAgents · Runnable research CLI workflow · Maintainer: Tauric Research
Evidence for this entrypoint: pinned project source; dependencies and hosted services can change.
Before you use it
Setup
Python >=3.10; pinned package version 0.5.0 defines the tradingagents CLI entrypoint. Multi-agent framework internals support this specific runnable workflow.
Sources (1)
- pyproject.toml · Last checked 2026-09-21
Access
Local CLI plus model-provider access. Default stock/fundamental/news vendor is yfinance; optional Alpha Vantage and configured macro/prediction-market sources have separate requirements.
Sources (2)
- README.md · Last checked 2026-09-21
- tradingagents/default_config.py · Last checked 2026-09-21
Pricing
Total usage cost is unknown; model, data-provider and compute charges can apply. Open-source licensing does not mean free operation.
Not enough information yet.Sources (1)
- README.md · Last checked 2026-09-21
Permissions
Calls configured data/model services and persists local decision logs/cache; optional checkpoints write SQLite. A live broker/account connection is not established by this listing.
Our assessment; see the supporting documentation.Sources (2)
- tradingagents/default_config.py · Last checked 2026-09-21
- README.md · Last checked 2026-09-21
All documented facts
- What it does
Run the TradingAgents CLI research workflow to combine market, fundamental and news analysis into a model-generated research/decision output for a ticker and date.
From the project’s documentationSources (1)
- README.md · Last checked 2026-09-21
- Inputs
Ticker, analysis date, selected analysts, model provider/configuration and enabled data-provider credentials.
From the project’s documentationSources (1)
- README.md · Last checked 2026-09-21
- Outputs
Analyst reports and a research decision; default local decision memory and optional checkpoints. A decision is not proof of a placed order.
From the project’s documentationSources (1)
- README.md · Last checked 2026-09-21
- Setup requirements
Python >=3.10; pinned package version 0.5.0 defines the tradingagents CLI entrypoint. Multi-agent framework internals support this specific runnable workflow.
From the project’s documentationSources (1)
- pyproject.toml · Last checked 2026-09-21
- How to use it
Local CLI plus model-provider access. Default stock/fundamental/news vendor is yfinance; optional Alpha Vantage and configured macro/prediction-market sources have separate requirements.
From the project’s documentationSources (2)
- README.md · Last checked 2026-09-21
- tradingagents/default_config.py · Last checked 2026-09-21
- Pricing
Total usage cost is unknown; model, data-provider and compute charges can apply. Open-source licensing does not mean free operation.
Not enough information yet.Sources (1)
- README.md · Last checked 2026-09-21
- Access and permissions
Calls configured data/model services and persists local decision logs/cache; optional checkpoints write SQLite. A live broker/account connection is not established by this listing.
Our assessment; see the supporting documentation.Sources (2)
- tradingagents/default_config.py · Last checked 2026-09-21
- README.md · Last checked 2026-09-21
- License
Apache-2.0 for repository software; data-vendor and model terms remain separate.
From the project’s documentationSources (1)
- LICENSE · Last checked 2026-09-21
- Limitations
Model outputs vary with parameters, date and source data. Repository evaluation of decisions is not proof of a crypto strategy backtest or reproducible returns.
Our assessment; see the supporting documentation.Sources (1)
- README.md · Last checked 2026-09-21
What still needs checking
- A-share/Hong Kong coverage, broker execution and research quality are not verified.
- No crypto strategy backtest has been established for this selected entrypoint.
- AuraMatrix has not installed, connected or run this third-party resource.
Choose setup, costs and permissions before using this third-party project.
View project documentationSource details
Listing ID: agent_tradingagents-research
Record version: sha256:210c257051f7fea101ace55e9b5af9bc3d005d9ad6eff14acfc5361b477df5ca
Main repository version: 2d17df8da1536c121e4d7395ac5a5dcec9e96d6f
Classification basis: Editorial classification of the specific Runnable research CLI workflow, from the listed primary sources; no third-party execution.
- README.md · 2026-09-21 · Source revision:
2d17df8da1536c121e4d7395ac5a5dcec9e96d6f - pyproject.toml · 2026-09-21 · Source revision:
2d17df8da1536c121e4d7395ac5a5dcec9e96d6f - tradingagents/default_config.py · 2026-09-21 · Source revision:
2d17df8da1536c121e4d7395ac5a5dcec9e96d6f - cli/main.py · 2026-09-21 · Source revision:
2d17df8da1536c121e4d7395ac5a5dcec9e96d6f - LICENSE · 2026-09-21 · Source revision:
2d17df8da1536c121e4d7395ac5a5dcec9e96d6f