QuantDinger

QuantDinger is a self-hosted AI trading platform for independent traders, Python strategy authors, and small teams. It brings research, strategy development, testing, and trade execution into one workspace while keeping strategy code and broker credentials under the operator's control.

• AI research and Python strategies: Use multiple AI providers for market analysis and develop Python indicators and trading strategies.
• Backtesting and strategy evaluation: Test strategies against historical data, compare parameter choices with walk-forward validation and a blind holdout, and examine sensitivity to transaction costs.
• Factor research: Compare technical and fundamental factors using out-of-sample tests, cost-aware scoring, and checks for overlapping signals.
• Paper and live trading: Execute strategies across crypto exchanges and traditional brokers, or track signals in virtual accounts that record positions, profit and loss, and equity curves without submitting broker orders.
• Agent and browser access: Work through desktop or mobile web interfaces, APIs, an Agent Gateway, or MCP; agent trading defaults to paper mode, with separate authorization required for live access.

The open-source stack uses the Apache 2.0 license and supports self-hosted deployment. AI research connects to external AI providers, while live trading connects to exchanges or brokers. Strategy evaluation compares historical results and parameter stability; it doesn't forecast future returns.