Research-grade rankings for US equities
PatternRank ranks equity setups with model-derived evidence, historical context, and measured follow-through. It is built for repeatable research review, not trade calls.
Full-sample completed outcomes are published on the public track record.
Current research queue with completed outcomes
Rankings with measured context
Review model outputs alongside confidence, universe filters, and completed 7-day outcomes so each ranking can be evaluated as part of a broader process.
Short-horizon momentum review
The 7-day model ranks equities by momentum behavior observed across historical regimes, then exposes confidence and completed outcome context for review.
Liquidity-filtered universes
ETB rankings apply additional liquidity and borrowability filters for researchers who want a more conservative stock universe.
Plans for ranking research
Every plan includes ranked outputs, confidence context, and historical review tools. Execution, sizing, and portfolio decisions remain outside PatternRank.
Full-sample completed outcomes are published on the public track record.
Starter
$29/mo
For individuals learning quantitative market rankings
Access to 7-day momentum rankings (7D All Stocks model)
Coverage across NYSE and NASDAQ equities
Basic filtering by symbol and date
Daily ranking refresh after market close
Historical performance tracking (7+ days old)
7-day free trial
Email support
Pro
$79/mo
For serious quantitative researchers and advanced users
Everything in Starter, plus:
Access to 7D ETB (Easy-to-Borrow) rankings
High-liquidity, institutional-grade equities
Long-horizon breakout model (1Y2X) — Beta
Filter by multiple model types
Performance analytics dashboard
Priority email support
Quant
$199/mo
For professional and institutional research workflows
Everything in Pro, plus:
Short-side ranking model — Coming Soon
Early access to new models and features
Dedicated email support
Feature request priority consideration
Start with the ranking history
Audit the public track record, review completed examples, and decide whether the workflow fits your research process.
Research use only. No investment advice, recommendations, or guarantees.