Universe Builder

Sector Presets

Auto-Scan Engine

Status Idle

Auto-refresh

Interval

Macro Environment

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Markets

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Universe0

Search any company to begin

Type a ticker or name, or select a sector preset from the left panel

Signal Rankings0

# ↕	Ticker	Company	Sector	Price	1D	20D Mom	Rel Strength	EPS Surp	Rel Vol	CS Score	Est 30D Return	Confidence	Signal

Feature Importance — All 45 Inputs Weighted

Signal Distribution

AI Research Commentary

Claude Sonnet · AQR + Point72 Research Mode

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Signal Engine — Complete Factor Reference

Auris combines AQR Capital factor model methodology with Point72 Cubist ML microstructure features and The STRAT price action framework. Every stock is scored on 75+ features across 8 categories, then cross-sectionally ranked as a percentile vs the universe. IC = Information Coefficient (correlation with 30-day forward returns from academic literature).

How to Use Auris

A complete guide to the signals, scores, and workflow for generating high-conviction 30-day trade ideas using the AQR + Point72 dual-framework engine.

ML Signal Backtest Engine

Uses the 1-year OHLCV history already loaded in your universe to simulate what would have happened if you traded every signal Auris generated. The engine walks forward day-by-day through historical data, scores each stock at each point using the same 58-factor ML model, and records the actual forward returns at 1, 5, 20, and 60 trading days. Requires stocks to be loaded in your universe first.

Signal Filter

Score Threshold

Min History Days

Lookahead Period

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