01

Research

We spent 6+ years analyzing historical stock market data, focusing on the most significant price movers. From this, we identified recurring traits and market conditions associated with those moves.

02

Real Time Algos

That research powers two real-time algorithms (Intraday and Swing), which scan the equities market each day for stocks that exhibit historically similar behavior and pattern traits.

03

Reward to Risk Scoring System

Each stock is scored and categorized based on how closely it aligns with one of our four backtested reward-to-risk research models: 1.5:1, 3:1,6:1(Intraday) & 5:1(Swing) . These labels group a current stock based on past movement characteristics and its likelihood to deliver a RR goal in live testing.

04

Performance Edge

Our system helps filter and surface the highest-scoring stock profiles — those that most closely align with traits observed in past high-momentum market events. It’s a research framework designed to support independent analysis and decision-making in forward/live testing.