Stepwise

Sagata Regression Pro 1.0

Sagata Regression Pro 1.0: Multiple regression for data modeling, analysis, and interactive visualization. stepwise type automatic model selection approach with the advantage of cross-validation type model evaluation. Data Weighting - weighted regression allows users to downplay the data associated with higher measurement errors. Stepwise Regression Automodeling - offers a stepwise regression feature to select the “optimal” model automatically. Robust Regression (for Outliers) - commonly some of the data are not entirely reliable. For these cases,

ForeStock 1.1

Collection of advanced forecasting algorithms: ARIMA with automatic best parameter set search and smart seasonal trend detection. Stepwise multivariate regression with the selection of the best regression subset. Proven backhistory. Full intraday capable. Real-time speed in model training. Ready to use professional style Expert Advisors, Indicators and System Testers. Open scripts for for writing your own trading strategies.

stock market, prediction, trading, financial forecasting

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