quant-researcher
CommunityDiscover winning strategies via evolution.
Data & Analytics#validation#backtesting#genetic-algorithms#strategy-discovery#evolutionary-search#block-dsl#pareto-optimization
Authorgtnix
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Streamline the discovery of robust trading strategies by combining evolutionary search with a block DSL and Pareto optimization, reducing manual trial-and-error and enabling repeatable research.
Core Features & Use Cases
- Evolutionary search using NSGA-II for multiobjective optimization of trading strategies.
- Block DSL-based genome design for flexible, composable strategies and easy experimentation.
- Diversity preservation and disciplined handoffs for validation across campaigns and risk analyses.
Quick Start
Start a new evolutionary search for trading strategies using the block DSL and Pareto optimization.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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-researcher Download link: https://github.com/gtnix/quant_b3_backtest/archive/main.zip#quant-researcher Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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