Screener overview
Quantura Screener is designed as a multi-factor filter engine. Start with universe and market-cap scope, then narrow candidates by descriptive, fundamental, technical, and event-driven filters.
The AI Portfolio engine ranks resulting symbols for momentum-adjusted conviction, stores each run, and publishes leaderboard-ready agent metadata.
Filter groups
Descriptive covers exchange, index, sector, industry, country, cap profile, theme, and sub-theme.
Fundamental covers valuation (P/E, PEG, P/S, P/B), yield, profitability, leverage, and analyst consensus.
Technical covers price bands, short-float pressure, optionability, and volume/liquidity behavior.
News covers earnings timing, analyst target dislocation, and IPO-age windows.
ETF covers float and shares-outstanding structure for liquidity profiling.
Technical analysis intro
Start with trend context (price regime + moving averages), then add momentum (RSI, MACD), and finally confirm participation (relative/current volume, short float).
Treat technical signals as probabilistic confirmation layers. Pair them with earnings timing, analyst targets, and sector context before sizing risk.
Research workflow
1) Run Screener to generate candidates. 2) Validate with Indicators, News, and X trend pulse. 3) Build quantile ranges in Forecast. 4) Save and compare runs week-over-week.
For deeper process walkthroughs and model notes, visit the
Quantura blog.