Signal Classification Predict whether an asset's price will move up or down over a forward horizon using supervised machine learning classifiers. This skill covers the full pipeline: label creation, model training, walk-forward validation, feature importance analysis, and threshold optimization for trading applications. Why Tree-Based Models Dominate Trading ML XGBoost and LightGBM are the workhorses of quantitative trading ML for good reason: - Non-linear relationships : Financial features interact in complex, non-linear ways that trees capture naturally - Robust to feature scale : No need t…