A calmer way to turn market data into a research decision.
RankAlpha is a quantitative research and decision-support workspace for orienting to the session, finding candidates, validating evidence, and monitoring what changes.
Example market context card showing the daily workflow layout.
Grade bands first; symbols alphabetical within each band.
A concise catalyst summary highlights what changed, why it matters, and what to verify next.
A four-part research workflow
Read the session backdrop, posture, contradictions, and next catalyst.
Use rankings, screens, opportunities, and earnings watch for different search jobs.
Inspect factor evidence, catalysts, contradictions, scenarios, and invalidation conditions.
Carry selected names into watchlists, comparisons, calendars, alerts, and model portfolios.
Know what the evidence represents
The workspace distinguishes observation time, score date, analysis date, and pipeline health. A timestamp applies to its named subject, not to every module on the page.
U.S. equities admitted by the active eligibility and coverage rules. The current count is shown inside the app.
Momentum windows, event dates, and scenario horizons are distinct. Each module names the horizon it uses.
Prices, scores, research, and pipeline checks update on their own schedules and can be unavailable independently.
This is research data, not a real-time execution feed. Data Status distinguishes current, delayed, stale, and unavailable evidence for each named module.
Research principles
Evidence before conclusions
Contradictions stay visible
Freshness is point-of-use
Decision support, with the limits visible.
RankAlpha does not promise returns or replace due diligence. Published validation is currently unavailable; product claims are limited to the implemented model, evidence, and freshness contracts.