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brokermr810AI quantitative trading platform for local-first, privacy-focused execution
Top 57.6% on SourcePulse
<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> QuantDinger offers a local-first, privacy-centric, self-hosted quantitative trading platform. It provides traders, researchers, and engineers with a complete workflow from data aggregation to execution across multiple markets, ensuring full control over strategies and data, thereby eliminating vendor lock-in and subscription fees.
How It Works
Built on Python (Flask) and Vue.js, deployed via Docker Compose, QuantDinger integrates an AI-native approach. A multi-agent research system gathers financial intelligence, feeding into AI-assisted Python strategy development. Strategies are visualized on charts and optimized through an "AI-Loop" that suggests parameter tuning. Local Retrieval-Augmented Generation (RAG) enhances agent memory and reflection capabilities.
Quick Start & Requirements
docker-compose up -d --build). Requires .env file configuration for database and admin credentials.OPENROUTER_API_KEY) are needed for AI features.Highlighted Details
Maintenance & Community
Community support is available via Telegram and Discord. Contributing is encouraged. Sponsorship and commercial licensing options are offered for support and branding modifications.
Licensing & Compatibility
Licensed under Apache License 2.0 (code), permitting commercial use and modification. Apache 2.0 does not grant trademark rights; use of QuantDinger's branding in redistributed versions requires a separate commercial license. Original notices must be retained.
Limitations & Caveats
CN Stocks and Futures are data-only. External API keys are required for certain functionalities. Modification or redistribution of QuantDinger's branding necessitates a commercial license.
3 days ago
Inactive