QuantDinger

QuantDinger is a self-hosted AI trading platform that turns trading ideas into Python strategies, backtests, and paper or live trades for traders.

What it is good for

  • Backtesting trading strategies written in Python
  • Running paper trades before risking real money
  • Researching crypto, stock, and forex markets with AI
  • Monitoring live trading strategies from one dashboard

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Agent app
Tasks
Works with
Binance, MCP clients, Stripe, PostgreSQL, Redis, Kafka

Momentum

Rank this week
Not ranked yet
Best rank
None yet
GitHub stars
13,423

GitHub numbers as of Nov 2, 2026. Updated weekly.

11.9k 12.7k 13.5k Sep 24, 2026 Nov 2, 2026
GitHub stars for QuantDinger: 11,990 on Sep 24, 2026, 13,423 on Nov 2, 2026. Source: GitHub.

Official links

Setup steps are on the official pages. We do not repeat them here, since they change.

Questions

Is QuantDinger free?
Yes. It is free and open source (Apache-2.0 license).
Do I need to know how to code to use QuantDinger?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does QuantDinger work with?
According to its own documentation, it works with Binance, MCP clients, Stripe, PostgreSQL, Redis, and Kafka.
What is QuantDinger good for?
Backtesting trading strategies written in Python, running paper trades before risking real money, researching crypto, stock, and forex markets with AI, and monitoring live trading strategies from one dashboard.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. Parts of this summary required judgment because the source material was brief. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.