alpha-search-quant-engineering
OfficialEnable robust quantitative trading strategy development.
Finance & Accounting#performance metrics#backtest#quantitative#walk-forward#strategy validation#signal development
Authoralpha-search
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides the tools to build, test, and validate complex trading signals and strategies, streamlining quantitative research workflows.
Core Features & Use Cases
- Signal Creation & Composition: Develop modular technical indicators and combine them logically to generate trading signals.
- Backtest Engine: Simulate strategy performance efficiently over extensive historical data.
- Performance Metrics & Validation: Calculate risk-adjusted returns and validate strategies via walk-forward analysis, ensuring robustness in live trading conditions.
Quick Start
Build a momentum signal, backtest it over historical data, and evaluate its performance metrics automatically.
Dependency Matrix
Required Modules
pandasnumpyscikit-learnpydantic
Components
scriptsreferencesassets
💻 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: alpha-search-quant-engineering Download link: https://github.com/alpha-search/alpha-search/archive/main.zip#alpha-search-quant-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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