worldquant-brain

A better machine lib.

Alpha Harness is a dedicated workspace designed to simplify quantitative financial research. Its vision is to empower users to seamlessly discover, test, and manage new trading strategies by automating the complex, repetitive aspects of financial modeling.

Agentic AI-driven Quantitative Alpha Builder. Streamline alpha generation with autonomous research navigation and backtesting.

Feedback Driven Alpha Generation Pipeline combining Gemini API with the WorldQuant BRAIN API to automatically generate, backtest and iteratively refine trading signals. "Automate the Routine, Preserve the Creative."

Automated Hyperparameter Optimization framework for WorldQuant BRAIN Alphas using Optuna.

Automated alpha research pipeline for WorldQuant BRAIN — built for the IQC 2026

MCP Server for WorldQuant Brain alpha factor mining — 世坤 Brain 回测因子 MCP 服务

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.

Local-first Rust toolkit for quantitative expression search: typed genetic programming, semantic deduplication, feedback-guided search, and causal factor evaluation. Reproducible artifacts, no cloud required.

LLM-agent pipeline for formulaic alpha discovery on WorldQuant BRAIN, published with the full research archive it produced (archived)

Professional Python library and CLI for WorldQuant BRAIN alpha simulation

Typed Go SDK + cross-platform CLI for the WorldQuant BRAIN HTTP API

Alpha search process – quantitative mathematical models on WorldQuant BRAIN

Alpha research lab: backtest WorldQuant-style expressions and benchmark against BRAIN and Numerai. Next.js + FastAPI + LightGBM.

Async job queue for WorldQuant BRAIN alpha simulations (archived reference implementation)

Quantitative Alpha Factor Research - NSE 500 Universe, IC/ICIR Framework, 12 Factors .