scikit-learn - A widely-used Python library offering a broad suite of machine learning algorithms (regression, classification, clustering, preprocessing). It is commonly used in trading applications due to its ease of use and variety of tools. For instance, scikit-learn provides
DecisionTreeClassifier
,Â
RandomForestRegressor
,Â
StandardScaler
, andÂ
GridSearchCV
 for hyperparameter tuning. A typical workflow might useÂ
train_test_split
 to divide data intoÂ
X_train
 andÂ
X_test
, callÂ
model.fit(X_train, y_train)
, and evaluate withÂ
model.predict(X_test)
. Scikit-learn models can be exported (e.g. to ONNX) or called from MQL5 via Python to drive live trading decisions.