wq-alpha-research
OfficialEfficiently design, test, and evolve alpha research with AI.
AuthorQuantML-Research
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the alpha research process, helping users design expressions, diagnose failures, manage self-correlation, and automate simulations and submissions.
Core Features & Use Cases
- Expression Design: Build and test alpha expressions using a structured playbook.
- Simulation & Diagnostics: Automatically simulate and diagnose simulation failures.
- Submission Management: Automate alpha submission workflows with post-submit status checks.
- Self-Evolution: Use the
evolve_skill.pyscript to evolve the skill based on research outcomes. - Use Case: Imagine you are designing a new alpha for a trading strategy. Use this Skill to design the expression, simulate it against historical data, submit it for live testing, and analyze its performance.
Quick Start
Use the wq-alpha-research skill to design a new alpha expression for the 'USA TOP3000' universe, simulating and submitting it to the BRAIN platform.
Dependency Matrix
Required Modules
requestsnumpy
Components
scriptsreferences
💻 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: wq-alpha-research Download link: https://github.com/QuantML-Research/wq-alpha-research/archive/main.zip#wq-alpha-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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