brokermr810/QuantDinger

AI-driven, local-first quantitative trading platform for research, backtesting and live execution. Python-native, privacy-first, open source.

65
/ 100
Established

This platform helps quantitative traders and researchers rapidly develop, test, and execute trading strategies. You describe your trading idea in plain language, and it generates a Python strategy. It then uses historical data to show how the strategy would have performed, before you decide to run it live across various exchanges. This is for individual traders or small trading firms who want to leverage AI for strategy development while keeping their data and strategies private.

993 stars. Actively maintained with 15 commits in the last 30 days.

Use this if you want to develop and deploy AI-driven trading strategies quickly, without extensive coding, and prefer to keep your trading logic and API keys on your own machine.

Not ideal if you prefer a fully managed, cloud-based trading platform or require advanced, enterprise-level features like institutional-grade compliance and risk management.

quantitative-trading algo-trading backtesting financial-research strategy-development
No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 13 / 25
Community 25 / 25

How are scores calculated?

Stars

993

Forks

258

Language

Python

License

Apache-2.0

Last pushed

Mar 11, 2026

Commits (30d)

15

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