quant-dojo

quant-dojo is a systematic research stack for the A-share market. It is less a trading bot than a disciplined research room: ideas enter as factors, pass through validation, and only then move toward paper trading.

Why it exists

Quant ideas are easy to overfit and hard to retire. I wanted a workflow that made the research process more explicit: what was tested, what survived, what failed, and whether a signal still works outside the slice that made it look good.

What it does

• Factor research tracks for A-share equities
• Backtesting with walk-forward validation
• A gated admission process before an idea reaches paper trading
• Risk controls and execution checks
• Dashboards for monitoring research and live candidates

Stack

Python, pandas-style research workflows, Streamlit dashboards, broker/execution adapters, and a research log built around reproducibility.

Repository: github.com/ink-dojo/quant-dojo.