QuantToGo MCP — 宏观因子量化信号源 English | 中文 A macro-factor quantitative signal source accessible via MCP (Model Context Protocol). 8 tools, 1 resource, zero config. AI Agents can self-register for a free trial, query live trading signals, and check subscription status — all within the conversation. All performance is forward-tracked from live signals — not backtested. QuantToGo is not a trading platform, not an asset manager, not a copy-trading community. It is a quantitative signal source — like a weather forecast for financial markets.
| Stars | 6 |
| Forks | 2 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 57.052/100 |
| Last Updated | 2026-06-15 |
| Created | 2026-03-09 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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quanttogo-mcp is Macro-factor quantitative signal source for AI agents via MCP. 宏观因子量化信号源。. It is categorized as a MCP 服务器 with 6 GitHub stars.
quanttogo-mcp is primarily written in Python. It covers topics such as ai-agent, algorithmic-trading, macro-factors.
You can find installation instructions and usage details in the quanttogo-mcp GitHub repository at github.com/QuantToGo/quanttogo-mcp. The project has 6 stars and 2 forks, indicating an active community.
quanttogo-mcp is released under the MIT license, making it free to use and modify according to the license terms.