Test trading signals without peeking ahead.
Guides training and evaluating trading signal classifiers with time-ordered validation, feature explanations, and probability threshold selection.
When to use it
Use when predicting an asset's price direction over a forward horizon with supervised classifiers.
Ask for a trading classifier demonstration; it can generate synthetic data and return evaluation metrics, feature rankings, and an optimized threshold.
The bundled training script runs with Python 3.
Required by the bundled scripts for data frames and feature handling.
Required by the bundled scripts for numerical arrays and computations.
This skill
uv pip install pandas numpy scikit-learn
Installs core Python packages