kay-ou/SimTradeData

SimTradeData is a utility library supporting SimTradeDesk, SimTradeLab and simtradeML with reliable, high-quality simulated trading data for model training, backtesting, and performance evaluation.

55
/ 100
Established

This project helps quantitative traders and analysts prepare high-quality historical trading data for backtesting and model training. It efficiently downloads daily stock market data, financial metrics, and corporate actions for China A-shares and US stocks from multiple sources. The output is organized, easily queryable Parquet files, ready for use in trading strategy development platforms like SimTradeLab.

Use this if you need a reliable, up-to-date, and comprehensive dataset of historical stock market and financial data for quantitative trading research or strategy backtesting.

Not ideal if you primarily need real-time streaming data or highly granular tick data, as this tool focuses on daily historical market and fundamental information.

quantitative-trading stock-market-analysis financial-data backtesting investment-research
No Package No Dependents
Maintenance 13 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 19 / 25

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Stars

52

Forks

22

Language

Python

License

AGPL-3.0

Last pushed

Mar 18, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/data-engineering/kay-ou/SimTradeData"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.