Zizhao-HUANG/FullStackAutoQuant
Production-grade end-to-end automated quantitative trading system
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.
Stars
18
Forks
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Language
Python
License
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Category
Last pushed
Feb 18, 2026
Commits (30d)
0
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