Random Mix strategy on USD/CAD 1h: API-default style: randomly composed indicator set, model learns the rule. Features: Williams %R 21, SMA 20, EMA 20/50 cross, ATR 20. Model: LightGBM. Label horizon 3 bars, confidence threshold 0.60, direction both. Risk: 25 pip stop / 50 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission.

Vol-Regime strategy on EUR/USD 1h: Squeeze (BB inside Keltner) then expansion; classifier picks the direction of the release. Features: BB (20,2.0), ATR 10, ADX 14, Volatility 20, Return lags 1-3, Keltner (20,1.5), Session/time features. Model: Random Forest. Label horizon 6 bars, confidence threshold 0.55, direction both. Risk: 25 pip stop / 50 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission.

Random Mix strategy on USD/CAD 5min: API-default style: randomly composed indicator set, model learns the rule. Features: EMA ribbon 8-55, Keltner (20,1.5), MACD (12,26,9), Donchian 20, CCI 14, ROC 3. Model: Extra Trees. Label horizon 4 bars, confidence threshold 0.55, direction both. Risk: 15 pip stop / 30 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission.

Vol-Regime strategy on GBP/USD 5min. Squeeze (Bollinger inside Keltner) then expansion; the classifier picks the direction of the release. Features: BB (20,2.0), ATR 14, ADX 14, Volatility 20, Return lags 1-5, Keltner (20,1.5), Session/time features. Model: LightGBM; label horizon 8 bars, confidence threshold 0.58, direction short. Risk: 15 pip stop / 30 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission. Trained on the last 40 days with a 70/30 holdout; the published numbers are th

Signal Mix strategy on EUR/USD 15min. A compact, machine-selected indicator set; the classifier learns the entry rule directly from the features. Features: Z-score 20, BB (20,1.5), Stochastic (5,3), Volatility 50, ATR 10. Model: Logistic Regression; label horizon 3 bars, confidence threshold 0.60, direction both. Risk: 25 pip stop / 50 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission. Trained on the last 40 days with a 70/30 holdout; the published numbers are the out-of-sample 30%

Signal Mix strategy on USD/CHF 1h. A compact, machine-selected indicator set; the classifier learns the entry rule directly from the features. Features: MACD (8,21,5), Volatility 20, Session/time features, Z-score 50, BB (50,2.0). Model: Extra Trees; label horizon 4 bars, confidence threshold 0.55, direction both. Risk: 25 pip stop / 50 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission. Trained on the last 40 days with a 70/30 holdout; the published numbers are the out-of-sample 30

Trend strategy on USD/CAD 5min. Enter with the EMA crossover when ADX confirms a trend; the model gates each entry. Features: EMA 12/26 cross, ADX 20, ATR 14, ROC 20, EMA ribbon 8-55, Session/time features. Model: Logistic Regression; label horizon 4 bars, confidence threshold 0.55, direction short. Risk: 15 pip stop / 30 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission. Trained on the last 40 days with a 70/30 holdout; the published numbers are the out-of-sample 30%.

Mean-Reversion strategy on USD/CHF 1h. Fade RSI/Bollinger extremes back toward the mean; the classifier decides direction. Features: RSI 7, BB (14,2.0), Z-score 50, Stochastic (14,3), Candle structure, Session/time features. Model: XGBoost; label horizon 2 bars, confidence threshold 0.55, direction both. Risk: 25 pip stop / 50 pip target (1:2 R/R), 1.0 lot on $10k, $6 round-trip commission. Trained on the last 40 days with a 70/30 holdout; the published numbers are the out-of-sample 30%.