AlphaPy Pro. Machine learning for speculators.
An advanced Python framework for financial modeling. MetaLabeling, NLP-driven sentiment features, ensemble stacking, and the MarketFlow pipeline.
What's inside
Six things, one pipeline.
MarketFlow
The financial-data pipeline, from ingestion through feature engineering.
MetaLabeling
Advanced labeling for financial ML, following the Lopez de Prado playbook.
NLP features
Sentiment analysis baked into the feature pipeline.
Ensembles
Blended and stacked across scikit-learn, XGBoost, LightGBM, and CatBoost.
YAML-driven
Declarative configs, isolated project workspaces, reproducible runs.
Modern tooling
Built with uv. Python 3.12+. CI on GitHub Actions.
Pipeline
Raw data to scored signals.
Load
Load and preprocess data from multiple sources.
Transform
Create, transform, and select features, including NLP.
Fit
Fit and optimize multiple algorithms in parallel.
Combine
Combine models for improved out-of-sample performance.
Measure
Full metrics and visualizations, walk-forward.
Ship
Export models and predictions for production.
Adjacent