@michaeljiangmingfeng-debug
基本情報
Macro-factor quantitative signal source for AI agents via MCP. 宏观因子量化信号源。
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"quanttogo": {
"command": "npx",
"args": [
"-y",
"quanttogo-mcp"
]
}
}
}List all available trading strategies with live performance data. Returns strategy name, market (US/China), total return, drawdown, and recent returns.
Get detailed performance for a specific strategy — returns, drawdown, Sharpe, win rate, and daily NAV history for charting. Requires API key (get one free via register_trial).
Get custom market indices — China A-share momentum and strategy-weighted momentum. Requires API key (get one free via register_trial).
Compare multiple strategies side-by-side — returns, drawdown, and recent performance.
Get subscription plans and free trial info.
Start a free 30-day trial. Provide your email, get an API key instantly. Calling again with the same email returns your existing account.
Get today's buy/sell signals for a strategy. Requires API key from register_trial.
Check subscription status and remaining trial days. Requires API key from register_trial.
QuantToGo MCP Server is a macro-factor quantitative signal source accessible via the Model Context Protocol (MCP). It provides 8 tools and 1 resource for AI agents to discover live trading signals, self-register for a free trial, and check subscription status. All performance data is forward-tracked from live signals, not backtested.
Install by adding a configuration entry to your MCP client (e.g., Claude Desktop, Cursor, or Coze). Use npx -y quanttogo-mcp for local stdio transport, or connect via remote SSE or Streamable HTTP endpoints. Then ask your AI assistant to list strategies, register a trial, or query signals.
quanttogo://strategies/overviewQuantToGo is a quantitative signal source, not a trading platform, asset manager, or copy-trading community. It publishes systematic trading signals based on macroeconomic factors; users decide whether to act on them in their own brokerage accounts.
The server is an npm package (`quanttogo-mcp`) and requires Node.js to run via `npx`. No additional configuration is needed.
All signals are timestamped at the moment of publication and stored immutably. The git history of the repository provides an independent audit trail. Live performance data is hosted on QuantToGo servers and accessed via the MCP tools.
Transports: local stdio, remote SSE (`https://mcp.quanttogo.com/sse`), and Streamable HTTP (`https://mcp-us.quanttogo.com:8443/mcp`). Authentication: free tools require no API key; signal tools require an API key obtained via `register_trial` with an email address.
The README does not mention explicit limits, but the free trial is 30 days, and subscription info is available via `get_subscription_info`.
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