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Bablytics
- Live
An AI boardroom that reads the market's infinite library twice a day.
Every weekday morning Bablytics scrapes options-volume spikes, US and world news, congressional trade disclosures, chart technicals and market-cycle data; assembles roughly forty candidate trades; and convenes fifteen AI personas to grade every one of them. Thirteen grade, a dedicated Skeptic rebuts with all grades in hand, and an Executive publishes a ranked Top 20 — split into an options desk with specific selected contracts and a plain stock book — plus a morning memo.
After the close, the Evening Court convenes: the day's leads are scored against the closing tape and every member journals where they were right, where they were wrong, and the lesson they take — and those lessons feed back into the next morning's grading. Realized 1-day and 5-day returns simultaneously train a small neural net that predicts outcomes from board grades and features, so the Executive learns which members to trust rather than being told.
The board's personas are built from published philosophies rather than personalities — value discipline, options flow, statistical regime, gap statistics, tail risk, house-edge analysis. The name is Borges: the market publishes a Library of Babel every day and almost all of it is noise, so the tool is the catalog room. Research and entertainment only — not financial advice, and it executes nothing.
- Python
- Multi-agent LLM
- Neural net
- Scrapers & ETL
- SQLite
- Web app
- Desktop packaging