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By agiprolabs

signal-classification

agiprolabs494 installs

Test trading signals without peeking ahead.

What it does

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.

How to use it

Ask for a trading classifier demonstration; it can generate synthetic data and return evaluation metrics, feature rankings, and an optimized threshold.

Good to know

  • works out of sight

Latest review

What you need · 5

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.


Access · 1

This skill

uv pip install pandas numpy scikit-learn

Execute

Installs core Python packages