by brokermr810 · MCP Server · ★ 6.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
QuantDinger Your Private AI Quant Operating System One deployable stack for charting, AI market research, Python indicators & strategies, backtests, and live execution—on your own servers and your own keys. Self-hosted quantitative platform: from idea and AI-assisted coding to paper-style workflows and exchange-connected live trading, with optional multi-user and billing primitives for operators. English · 简体中文 · 日本語 · 한국어 · ไทย · Tiếng Việt · <a href="
| Stars | 6,005 |
| Forks | 1,312 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 49.316/100 |
| Open Issues | 6 |
| Last Updated | 2026-05-20 |
| Created | 2025-12-28 |
| Platforms | mcp, python |
| Est. Tokens | ~3821k |
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QuantDinger is AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading. It is categorized as a MCP Server with 6.0k GitHub stars.
QuantDinger is primarily written in Python. It covers topics such as agent, algotrade, alpaca.
You can find installation instructions and usage details in the QuantDinger GitHub repository at github.com/brokermr810/QuantDinger. The project has 6.0k stars and 1312 forks, indicating an active community.
QuantDinger is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to QuantDinger on Agent Skills Hub include Vibe-Trading, gpt-researcher, valuecell. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.