Who it is forAn individual investor or student who wants structured, evidence-linked research rather than one model's opinion.
The problemA single model answer mixes opinion and evidence and hides disagreements.
The outcomeObservations from five analyst roles merged by ResearchManager into a plan with evidence references and open hypotheses.
What you need first
- Python 3.11 or later
- A local copy of the repo (inferred: git clone https://github.com/ceyyy427/finathink.git)
- No broker, live trading account or real vendor credentials are needed for the offline sample run
Steps
- Install and start the local app as in the quick start
- Save a low-frequency OHLCV snapshot or pick a saved one in the research task page
- Choose your own compatible model endpoint and authorize sending role materials, or use the offline driver
- Run the five analysts in parallel and let ResearchManager summarize
- Open the HTML report and compare runs
Prompt for your agent
Run ceyyy427/finathink's multi-agent research on <ticker or dataset> with the offline driver first, then summarize where the five analysts disagree and which hypotheses ResearchManager marks as still to verify. Paper trade only.
Caveat. Not financial advice: paper trade first, and remember you can lose money. The README is in Chinese.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for ceyyy427/finathink and "Run five analyst agents and read the manager's summary"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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