24 million chart patterns.
One API call.
Historical pattern intelligence for AI research, trading, and risk agents — and a visual search on this page for humans. Condition on regime, sector, liquidity. Get the full distribution of what happened next.
How it works
Type a ticker
Or upload a chart screenshot. Or pass a date ('NVDA 2024-06-15').
We find ten matches
Nearest neighbours in a 384-dimensional pattern embedding, ranked by similarity.
See what happened
Forward returns from realised daily bars — not predictions.
One API call, one conditional distribution.
The same POST /api/v1/cohort endpoint every agent calls. 500 historical analogs, filtered by regime, sector, or liquidity. Path percentiles, MAE/MFE, realized vol, and a survivorship flag — sub-2-second response.
POST /api/v1/cohort and the get_cohort_distribution MCP tool.Set in Source Serif 4, Inter, and JetBrains Mono. Twenty-four million chart patterns, indexed from public market data (2016–present). Headline returns are bias-adjusted against the model’s recent prediction error. Read the methodology. Educational use; not financial advice.