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QuantDinger

MCPOpen source

Open-source AI trading OS for building, backtesting, and live-trading Python strategies across crypto, stocks, and forex

12kApache-2.0

Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.

Pros

  • +Self-hosted, local-first stack keeps market data, strategy code, and broker credentials under operator control
  • +End-to-end workflow from AI research and Python strategy development to backtesting, paper trading, and live execution
  • +Built-in multi-tenant SaaS features including user management, billing, payments, and settlement
  • +MCP and Agent Gateway support for AI agent-driven trading and automation

Cons

  • −Live trading carries real financial risk and requires careful risk/compliance review
  • −Full self-hosted deployment with PostgreSQL, Redis, and Docker adds operational complexity
  • −Strategy optimization results do not guarantee future returns and require domain expertise

Target audience: Independent traders, Python quant developers, and small teams wanting a self-hosted AI trading platform or multi-tenant trading SaaS.

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