SL-Mar/quantcoder

AI-powered CLI tool: Transform trading research papers into QuantConnect algorithms

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/ 100
Established

This tool helps quantitative traders and researchers turn academic papers into functional trading algorithms for the QuantConnect platform. It takes a research paper (PDF) as input and generates compilable Python code, allowing you to quickly test and backtest trading strategies without manual coding. Traders and quantitative analysts can use this to accelerate their research-to-deployment workflow.

Use this if you want to automatically convert quantitative trading research papers into QuantConnect algorithms using your local machine's processing power.

Not ideal if you need to implement complex, novel mathematical models from papers, as current local AI models struggle with faithful reproduction beyond simple indicators.

quantitative-trading algorithmic-trading financial-research strategy-development backtesting
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

88

Forks

24

Language

Python

License

Apache-2.0

Last pushed

Feb 15, 2026

Commits (30d)

0

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