@QuantToGo
Basic information
A macro-factor quantitative signal source accessible via MCP. 8 transparent, auditable strategies spanning China A-shares, offshore RMB, US tech, and retail sentiment. Built on persistent macro factors (capital flows, behavioral incentives, regulatory boundaries), not ML pattern
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"quanttogo": {
"command": "npx",
"args": [
"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.
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 strategies, register for a free trial, query live trading signals, and check subscription status—all within the conversation. All performance shown is forward-tracked from live signals, not backtested. QuantToGo is not a trading platform, asset manager, or copy-trading community; it is a quantitative signal source that publishes systematic trading signals based on macroeconomic factors.
Install and configure the server by adding a JSON block to your MCP client (Claude Desktop, Cursor, Coze, or any Streamable HTTP client). For local execution use "command": "npx", "args": ["-y", "quanttogo-mcp"]. For remote access use the SSE URL https://mcp.quanttogo.com/sse or Streamable HTTP endpoint https://mcp-us.quanttogo.com:8443/mcp. No additional configuration is required; AI agents can immediately call tools like list_strategies, register_trial, and get_signals.
QuantToGo is a signal source—like a weather forecast for financial markets. It publishes trading signals; you decide whether to act in your own brokerage account. It never touches your funds.
The MCP server runs via `npx` (Node.js required) for local setups, or connects remotely via SSE/Streamable HTTP. No other dependencies are needed.
All signals are published on QuantToGo’s servers and are immutable—timestamped at publication. Performance is forward-tracked and auditable through GitHub commit history.
Yes, a 30-day free trial is available. Use the `register_trial` tool with your email to get an API key instantly. The key is required for signal tools.
Supports local stdio (via npx) and remote SSE (URL: `https://mcp.quanttogo.com/sse`) and Streamable HTTP (`https://mcp-us.quanttogo.com:8443/mcp`). No auth is needed for discovery tools; signals require an API key obtained via trial registration.
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