Maximize risk-adjusted return (Sharpe/Calmar) on EUR/USD 15-min data. XGBoost with moderate depth and regularisation to avoid overfitting on noisy FX data. Conservative SL/TP ratio of 1:2 improves expectancy. Session filter keeps the model active during liquid London/NY overlap. Min ATR filter avoids low-volatility noise. SMA-50 trend filter aligns trades with the prevailing medium-term trend, reducing whipsaw.

Maximize risk-adjusted return (Sharpe / Calmar) on EUR/USD 15-min data. XGBoost with moderate depth (4) and heavy regularisation (gamma, alpha, lambda) to avoid overfitting on a 1-year window. EMA cross provides trend direction; RSI filters against overbought/oversold entries. Asymmetric TP/SL (2:1) boosts expectancy. Session filter restricts trading to London + NY overlap (06–20 UTC) where EUR/USD liquidity is highest. min_atr removes low-volatility bars where spreads erode

Maximise risk-adjusted return (Sharpe / Calmar). GradientBoostingClassifier chosen for its strong performance on tabular financial data with moderate feature sets. Shallow trees (max_depth=4) with high n_estimators and a low learning_rate reduce overfitting. subsample=0.75 adds stochastic regularisation. Early stopping via n_iter_no_change prevents over-training on the validation split. SL=0.5%, TP=1.0% gives a 1:2 risk-reward ratio, targeting positive expectancy even at sub-

Maximize risk-adjusted return (Sharpe/Calmar) by combining RSI momentum divergence, MACD histogram dynamics, Bollinger squeeze, Stochastic crossovers, volatility regime, and session-aware time features. XGBoost with moderate depth and strong regularization prevents overfitting on 15-min GBP/USD data. Signal threshold 0.56 filters weak signals, SL/TP at 0.5%/1.0% gives 1:2 RR.

Maximize risk-adjusted return (Sharpe / Calmar). XGBoost chosen for its ability to capture non-linear interactions between Stochastic, Bollinger Bands, and RSI regimes. Shallow trees (max_depth=4) + high regularisation (reg_lambda=1.5, gamma=0.15) prevent overfitting on 15-min FX data. 2:1 TP:SL ratio (1.0% / 0.5%) improves expectancy per trade. Reverse on opposite signal minimises flat time and captures regime flips.