AKKI0511/QuantTradeAI

A comprehensive machine learning framework for quantitative trading strategies

38
/ 100
Emerging

This framework helps quantitative traders and researchers develop and test trading strategies. You define your trading strategy and market data in a single YAML file, then use command-line tools to run research, backtests, and even deploy trading agents. It’s designed for anyone managing investment portfolios or building automated trading systems.

Use this if you need a streamlined way to move from raw market data to a fully tested and paper-traded quantitative strategy or agent.

Not ideal if you're looking for a low-code, drag-and-drop solution, or if you prefer to build all components of your trading system from scratch in Python.

quantitative-trading financial-research algorithmic-trading portfolio-management strategy-backtesting
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

8

Forks

1

Language

Python

License

MIT

Last pushed

Mar 13, 2026

Commits (30d)

0

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