Full Public Equity Investing integration · Evidence before conclusions
Maps all 23 workflows in OpenAI Public Equity Investing v0.1.31. Concordal keeps research methods separate from discovery snapshots, public market data, company financials and decision history: sources freeze first, and outputs with unknown evidence IDs or failed validation are suppressed.
The 23 original research workflows below remain unchanged. After fundamental, sector, catalyst, and thesis work, use the quant layer to cross-check factor state, peer strength, signal history, and mechanical five-session conditions. It never overwrites the original research.
One public-equity operating system from idea to portfolio review
All 23 workflows share one evidence contract: freeze sources before analysis, bind every claim to evidence IDs, keep missing data missing, and suppress failed outputs.
Each run answers one bounded question and preserves the evidence chain through review.
Choose the stage that matches the question: discover, underwrite, events, conviction, risk, or operate.
Enter a ticker, bounded universe, research question, or source-note summary. Do not prefill unknown facts.
The system freezes an evidence-ID source pack before analysis; generation cannot add evidence retroactively.
Only validated outputs move into decisions, catalyst monitoring, and review. Failed outputs remain suppressed.