QuantDinger

The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery, backtesting, optimization, paper/live multi-asset execution, risk controls, monitoring, MCP, and multi-tenant SaaS in one auditable stack.

⭐ 13,575 stars on GitHub · 🍴 2,769 forks · 📜 License: apache-2.0 · 💻 Language: Python

What is QuantDinger?

An open-source AI/LLM project — run models locally, no cloud data sharing, fully customizable to your needs.

The biggest strength is fully local AI inference — zero API cost, no data leak risk, low latency.

Best for AI devs, researchers, anyone building agents/chatbots without OpenAI dependency.

Topics: the project is tagged with popular topics:

• 🏷️ agentic-ai
• 🏷️ ai-agents
• 🏷️ backtesting
• 🏷️ crypto
• 🏷️ finance
• 🏷️ fintech
• 🏷️ investment
• 🏷️ llm
• 🏷️ market-data
• 🏷️ mcp

📸 Screenshots

Quick install

The project supports Docker Compose:

git clone https://github.com/OpenByteInc/QuantDinger.git
cd QuantDinger
docker compose up -d

Check the README in the repo for required env variables.

Minimum system requirements

⚡ Deploy fast on VSIS

Use the VSIS VPS Lite 2GB RAM / 2 vCPU / 25GB SSD (~104k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running QuantDinger smoothly.

🎯 Benefits:

• One-command docker compose up -d deploy in 2 minutes
• Dedicated IPv4, root access, unmetered domestic bandwidth
• Daily snapshot backup
• Free install assistance from the VSIS team

👉 See matching VPS plans at vsis.net

Resources

• 🔗 GitHub: OpenByteInc/QuantDinger
• 🌐 Homepage: https://ai.quantdinger.com
• 📚 Official docs: see README in the repo
• 💬 Community: GitHub Issues + Discussions

Article compiled from GitHub data on 06/11/2026. Star/fork counts may have changed — see live numbers via the GitHub link.