HaoningChen/scutquant

scutquant是一个开源的离线量化投资平台,由华南理工大学量化投资协会负责维护. 该框架具有低耦合, 高内聚的特点

41
/ 100
Emerging

This offline quantitative investment platform helps traders and financial analysts develop and test trading strategies. It takes historical market data and your investment strategy rules as input, enabling you to simulate performance and analyze potential outcomes. The platform is designed for individuals involved in quantitative finance who need to backtest strategies without requiring real-time data feeds.

No commits in the last 6 months.

Use this if you are a quantitative investor or financial analyst looking to design, backtest, and refine investment strategies using historical market data in an offline environment.

Not ideal if you require real-time market data analysis, live trading capabilities, or if you are not comfortable with a platform that requires some technical setup.

quantitative-finance investment-strategy portfolio-backtesting financial-analysis algorithmic-trading
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

52

Forks

10

Language

Jupyter Notebook

License

MIT

Last pushed

May 20, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/HaoningChen/scutquant"

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