Four Types of Data
Fundamental Data, Market Data, 
Analytics, Alternative Data
								Labeling
Fixed-Time Horizon Method, 
Triple-BarrierMethod, Meta-Labeling
								Sample Weights
Bagging Classifiers and Uniqueness
								Fractionally Differentiated Features
Long Memory, Iterative Estimation,
Convergence
									Modelling
Ensemble Methods: Bootstrap Aggregation, Random Forest, Boosting, Bagging FeatureImportance Cross Validation and Tuning
									Backtesting
“Even if your backtest is flawless, it is probably wrong.” – Marcos Lopez De Prado Backtesting through cross-validation、Backtesting on Synthetic Data、Backtest Statistics、Strategy Risk