Five rule-based analysts plus thirteen investor-master AI personas independently analyze fundamentals, technicals, valuation, market sentiment, and master views. A LangGraph DAG runs them in parallel, then aggregates the signals into a quantifiable consolidated report. Supports A-share and US equities.
Try it online19 analysts reach independent conclusions; multi-dimensional aggregation removes single-view bias
Fundamentals (ROE / margin / growth), technicals (EMA / RSI / ADX / Bollinger), valuation (DCF / EV / EBITDA), sentiment (insider trading + news), and master views — each scored independently.
Buffett on the moat, Graham on margin of safety, Peter Lynch on PEG, Burry on contrarian bets, Taleb on tail risk — each master applies their own investment philosophy to reach an independent verdict.
19 analysts run in parallel through a LangGraph fan-out / fan-in DAG; after risk review and signal aggregation, they produce a consolidated report that doesn't rely on any single view.
A-share uses baostock for real data (free, no API key needed); US equities support multiple data sources. Flip a provider via an env var without touching agent code.
A Celery task queue runs analyses asynchronously while the frontend polls without blocking. All results are persisted in PostgreSQL and can be revisited by ticker, date, or score.
A risk-review agent inspects extreme signals independently before aggregation. Every report is labeled as AI-generated and carries a disclaimer: this is not investment advice.
Each master applies their own philosophy; different viewpoints combine into a fuller picture
Moat + owner-earnings DCF
Multi-model thinking + quality first
Margin of safety + Net-Net value
PEG + know what you own
Long-term growth + management quality
Deep value + contrarian investing
Disruptive innovation + growth
Macro trends + momentum
Activist investing + FCF
Antifragility + tail risk
DCF + CAPM intrinsic value
Downside protection + FCF yield
Margin of safety + emerging markets
Enter a ticker → 19 parallel analyses → aggregated output
A-share code or US ticker
baostock / yfinance fetch price and financial data
LangGraph DAG fan-out; each agent reaches its own verdict
Checks extreme signals and data consistency
Vote counting + weighted score + consolidated report
Enter a ticker; 19 AI analysts run in parallel and produce a multi-dimensional consolidated report in minutes. Free to try, A-share and US equities supported.
Visit AI Equity ResearchNote: Reports are generated automatically by AI models for informational and educational purposes only. This is not investment advice. Investing carries risk; please proceed with care.
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