quant-dojo

quant-dojo is a systematic research environment for China's A-share market. It behaves more like a strict research room than a trading bot: ideas enter as factors, survive a sequence of tests, and only then earn the right to approach paper trading.

Why it exists

Quant ideas are easy to overfit and strangely hard for their authors to retire. I wanted the research to leave a legible trail: what was tested, what survived, what failed, and whether a signal still stood once it left the sample that flattered it.

What it does

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

Stack

Python, pandas, Streamlit dashboards, broker and execution adapters, and a research log designed for reproducibility.

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