worldquant

Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN

Alpha 因子挖掘系统 v3.0 — 模块化自动化因子挖掘平台 (表达式/遗传编程/深度学习三模式, A股+美股, CLI+Streamlit+Notebook)

基于 CrewAI 的 WorldQuant Alpha 因子自动研究与回测系统 6个专业 AI 智能体协作 从研报到可验证公式的全自动流水线 支持网格搜索和智能优化

End-to-end control of WorldQuant BRAIN from the CLI or a coding agent: data discovery, alpha generation, backtesting, gating and submission over the official REST API.

Claude Code/Codex Agent-native plugin for WorldQuant BRAIN paper-to-alpha research workflows.

7 pip-installable Python libraries for WorldQuant BRAIN alpha discovery, orthogonal decorrelation, and tri-factor meta-synthesis

Python MCP server for automating WorldQuant BRAIN alpha-research workflows: async API client, batch-simulation lab, and an AST-based expression parser with novelty detection. Independent/unofficial project.

MCP server and LangGraph tools for WorldQuant BRAIN alpha research. Backtest Fast Expression alphas, read results and browse data fields from Claude Code, Cursor or your own agent. Unofficial, not affiliated with WorldQuant.

Automated research loop that drives WorldQuant BRAIN alphas to all 8 submission gates. Generate, guard, simulate, evaluate, refine — never submits.

Governed multi-agent research system for WorldQuant BRAIN. Research proposes, one audited chokepoint acts. Spec-first: 2,900+ tests, every attempt counted including the losers

Local CLI for WorldQuant Brain alpha research with LLMs

Free lite demo — catch WorldQuant BRAIN field errors and VECTOR mistakes before you simulate. Sample data only; full pre-submission toolkit linked in the README.