OnePunchMonk/AgentQuant

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

40
/ 100
Emerging

This tool helps quantitative traders and financial analysts automatically generate and validate stock trading strategies. You provide a list of stocks, and it uses AI to analyze market conditions, propose trading rules, and then rigorously test their profitability and robustness against historical market data. It's designed for someone who wants to find new trading strategies without needing to write code.

Use this if you are a quantitative trader, portfolio manager, or financial researcher looking to efficiently discover and test new stock trading strategies without manual coding or extensive data analysis.

Not ideal if you are looking for live trading execution, or if you need to build highly customized, complex algorithmic trading systems that require deep programming.

quantitative-trading strategy-backtesting market-analysis portfolio-management algorithmic-trading
No License No Package No Dependents
Maintenance 6 / 25
Adoption 9 / 25
Maturity 7 / 25
Community 18 / 25

How are scores calculated?

Stars

75

Forks

15

Language

Python

License

Last pushed

Nov 28, 2025

Commits (30d)

0

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