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data-split

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Efficiently split financial data for model training and validation.

Data & Analytics#financial modeling#time series#backtesting#quantitative finance#data splitting
Authoradennng
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the creation of time series datasets for financial model training and validation, eliminating the need for manual data splitting.

Core Features & Use Cases

  • Automated Data Splitting: Generates training, validation, and walk-forward validation datasets.
  • Flexible Parameters: Customizable split ratios and fold counts for different validation strategies.
  • Use Case: For SignalAgent, it provides pre-splitted datasets for parameter tuning and robustness testing of trading strategies.

Quick Start

Run the data-split skill to create datasets for your SignalAgent model by providing the run state path.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-split
Download link: https://github.com/adennng/stock_strategy_lab/archive/main.zip#data-split

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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