Forward-Performance Tracking Dashboard

This dashboard tracks the post-publication out-of-sample performance of our signals exactly as they were recommended to users (no lookahead bias).

We separate our recommendations into three distinct validation populations:

1. Population A: Research Recommendations: The overall candidate watchlist and conviction ratings generated by the deterministic engine.

2. Population B: Executable Trade Signals: Active setups (such as ORB, Overnight Premium, etc.) that triggered with defined entries, stops, and targets.

3. Population C: ML-Filtered Trade Signals: Active setups evaluated by the machine learning model (comparing raw rules against ML-filtered setups).

📊 Population A: Research Recommendations

Evaluates the overall quantitative scoring system and conviction ratings. Tracks performance of all candidates placed on the Watchlist or rated as Buy/Strong Buy (including candidates with no active setups).

• Total Recommendations Logged: 12 signals
• Completed Tracking (20-day Horizon): 0 signals
• Active Tracking (Horizon In-Progress): 12 signals