Prediction Engine
TradingbetaQuantitative forecasting with ensemble ML models
About
Machine learning forecasting platform that combines gradient-boosted models, LSTM time-series networks, and statistical regime detection to generate probability-weighted directional predictions. Includes walk-forward backtesting, feature importance analysis, and confidence interval calibration.
Features
- +Ensemble ML pipeline: GBM, LSTM, and regime detection
- +Walk-forward backtesting with out-of-sample validation
- +Feature importance and model interpretability dashboard
- +Calibrated probability intervals for directional forecasts
Privacy
Prediction Engine does not collect, store, or transmit any personal data. All processing happens locally on your device. No analytics, no tracking, no accounts required.
Support
Questions or issues? Reach out on LinkedIn