#CurrencyPairPrediction Model-specific Feature Engineering Some models prefer certain feature types: Model Preferred Feature Type Linear Models (Logistic/Linear Regression) Independent, normalized features Tree Models (XGBoost, LightGBM) Raw or unscaled features, no strict need for normalization Neural Networks Often prefer normalized, scaled, and stationarized features Reinforcement Learning State-action features (states being market conditions)