machine-learning-for-trading

Master multivariate time series prediction in trading using RNNs and LSTM or GRU layers. Learn to capture non-linear dependencies and improve your trading strategies with this practical guide.

Learn to implement topic modeling for financial news using LDA. Preprocess, vectorize, train, and visualize your results for actionable insights.

Learn to use BERT for financial text sentiment analysis. Fine-tune transformers on SEC filings or earnings calls for accurate insights. Complete guide available.

Implement autoencoders for asset pricing to extract conditional risk factors. Discover hidden data-driven factors by learning compressed latent representations of asset returns.

Learn to implement autoencoders for conditional risk factors using deep learning for asset pricing. Extract latent risk factors by conditioning on firm characteristics. Explore machine learning for trading.

Learn to evaluate alpha factors with Alphalens in this Python tutorial. Alphalens offers a standardized workflow to measure factor predictive power and generate statistical tear-sheets.

Easily extract alpha factors with TA-Lib in Python. Learn how to load OHLCV data, compute vectorized indicators like RSI and MACD, clean, and standardize them for your trading models.

Implement pairs trading with Kalman filter using Python. Build a robust statistical arbitrage strategy using a dynamic hedge ratio and trade the z-score of the mean-reverting spread for profitable results.

Implement pairs trading with cointegration using Python. Learn to test asset pairs, select stable ones, and execute mean-reversion trades with backtrader.

Learn to backtest ML-driven trading strategies with Backtrader. Extend PandasData and create custom strategies for dynamic capital allocation based on ML model outputs.

Learn to backtest ML-driven trading strategies using Zipline. Register custom data, wrap your model, and convert predictions to portfolio allocations for robust testing.

Master LightGBM for intraday trading. Implement time-series CV, generate signals, and use SHAP values to uncover key features driving your trading decisions. Get the complete guide.