Edge Analytics (/edge)
Answers the question: is the ensemble actually making you money, or is it noise?
Edge Score Card
Composite metrics:- Sharpe ratio — risk-adjusted return
- Sortino ratio — downside-adjusted return
- Profit factor — gross wins / gross losses
- Max drawdown — worst peak-to-trough decline
- Expectancy — average dollars won per trade
- Edge score — composite of all metrics
Equity Curve
Cumulative R-multiple over time from ensemble-scored trades. Trending up = edge is real.Rolling Metrics
Time-series chart of rolling win rate, Sharpe, and avg R. Helps identify periods where the edge weakened.Feature Attribution
Which features predict winners? Splits trades on each feature’s median and compares win rates:- Features with significant lift are marked SIG
- Helps you understand what the models are actually keying on
Walk-Forward Validation
The gold standard for edge validation:- Split history into train/test windows
- Optimize weights on training data
- Test on out-of-sample data
- Repeat across multiple windows