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WorldQuant Orchestrator

A research workflow, from question to backtest.

Illustrative WorldQuant Orchestrator workflow
Illustrative workflow · synthetic demo

The idea

Research on WorldQuant BRAIN from a Python CLI: discover data, test ideas, compare results and review submission checks.

What I worked on

Built the API library, CLI, adaptive pacing and audit ledger; nine agent skills include a core workflow plus eight companions.

Context & attribution

An independent, MIT-licensed tool for the official WorldQuant BRAIN API. The walkthrough uses synthetic expressions and illustrative results.

A deliberate workflow

Research runs leave an audit trail. Data discovery, backtesting, and review are separate steps, and submission is an explicit decision. The walkthrough shown here uses illustrative results.