quant-ml-trading
CommunityQuant ML trading toolkit for backtests and RL.
Authormahmoud20138
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Quantitative trading workflows are complex and error-prone, requiring expert setup for backtests, validations, and signal integration. This skill provides a comprehensive toolkit to automate strategy validation, genetic optimization, decay monitoring, RL trading, and AI signal aggregation, enabling faster, repeatable research and deployment.
Core Features & Use Cases
- Strategy validation and tearsheets for robust performance assessment.
- Genetic optimization and decay monitoring to evolve and track strategies over time.
- RL trading agent and AI signal aggregation for end-to-end decision support in live or simulated markets.
- Use Case: A quant researcher can generate a full performance report and a robust parameter sweep for a new strategy.
Quick Start
Train and evaluate a new strategy by invoking the toolkit on your market data and export a tearsheet
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: quant-ml-trading Download link: https://github.com/mahmoud20138/Tradecraft/archive/main.zip#quant-ml-trading Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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