QGTM.AI — Commodity ETF Algorithmic Trading Platform

Welcome to the documentation for QGTM.AI, an institutional-grade algorithmic trading platform focused on commodity ETFs.

Quick Links

• Architecture Overview — system design, data flow, module responsibilities
• Gap Analysis — comprehensive audit of the platform specification
• Landscape Analysis — evaluation of the open-source trading ecosystem
• Deploy Runbook — step-by-step guide to production deployment
• Compliance Framework — regulatory considerations

Getting Started

git clone https://github.com/QGTMAI/trading.git
cd trading
cp .env.example .env
uv venv && source .venv/bin/activate
uv pip install -e ".[dev]"
docker compose -f infra/compose/docker-compose.yml up -d
pytest

Architecture

See Architecture for the full system design.