QuantDinger
Open-source AI Trading OS and commercial-ready multi-tenant SaaS platform — research markets, build Python strategies, backtest, paper/live trade, and monitor crypto, stocks, and forex, with built-in user management, billing, payments, and settlement to launch and operate your own trading service.
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- 30-day movement
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- Related entries
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- Connections
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QuantDinger is an open-source AI trading platform described as a 'Trading OS' that supports market research, Python strategy building, backtesting, and paper/live trading across crypto, stocks, and forex. It is also structured as a multi-tenant SaaS platform with user management, billing, payments, and settlement built in. Integrations named in its topics include Alpaca, Binance, and Coinbase, and it ships an MCP server and cursor rules, with Docker noted in its toolchain.
Reach for it when you want a single self-hosted codebase that combines strategy development, backtesting, live trading, and the SaaS plumbing needed to run a trading service for others.
Use it to
- Build and backtest Python trading strategies
- Paper and live trade crypto, stocks, and forex via connected exchanges and brokers
- Launch your own multi-tenant trading SaaS with billing and user management
- Connect AI agents to market data and trading through the MCP server
- Monitor open positions across multiple markets
For Quant developers and teams building trading products or services
- Role
- agent-app
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 2,421
- Open issues
- 12
- Last push
- 2026-09-14
- Latest release
- v3.0.7 · 2026-05-15