Zizhao-HUANG/FullStackAutoQuant

Production-grade end-to-end automated quantitative trading system

27
/ 100
Experimental

This system automates the entire quantitative trading process, from ingesting raw market data to executing live trades. It takes in real-time stock market data and financial factors, then uses a deep learning model to rank stocks and generate trading signals. The end user is a quantitative trader or fund manager looking for an automated, production-grade system to manage their portfolio and execute trades.

Use this if you need a fully integrated, automated system for developing, backtesting, and deploying deep learning-driven quantitative trading strategies.

Not ideal if you prefer a manual trading approach or are only interested in a specific component of the quantitative trading pipeline, such as just backtesting or data analysis.

quantitative-trading algo-trading portfolio-management stock-ranking financial-modeling
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 11 / 25
Community 0 / 25

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Stars

18

Forks

Language

Python

License

Last pushed

Feb 18, 2026

Commits (30d)

0

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