QuantDinger

Why we included this project

QuantDinger is a self-hosted trading stack that carries a strategy from Python code to monitored live orders without shuffling data between half a dozen tools. You write the strategy in Python, run server-side backtests, then move through paper trading to live execution across crypto exchanges and traditional brokers, with AI-assisted market research feeding into the workflow. Market data, strategy code, and broker credentials stay on infrastructure you control rather than in a hosted service. The runtime splits into separate API, trading, scheduler, and job workers on PostgreSQL and Redis, so it behaves more like a small production deployment than a research notebook. Multi-agent research and MCP access are bundled in, but the real draw is having one pipeline from backtest to monitored live trading.