QuantToGo MCP — 宏观因子量化信号源

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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. We publish systematic trading signals based on macroeconomic factors; you decide whether to act on them, in your own brokerage account.

📊 Live Strategy Performance

<!-- PERFORMANCE_TABLE_START -->

Strategy	Market	Factor	Total Return	Max Drawdown	Sharpe	Frequency
抄底信号灯（美股）	US	Sentiment: VIX panic reversal	+671.8%	-60.0%	1.5	Daily
CNH-CHAU	US	FX: CNH-CSI300 correlation	+659.6%	-60.3%	2.0	Weekly
平滑版3x纳指	US	Trend: TQQQ timing	+558.3%	-69.9%	1.4	Monthly
聪明钱沪深300择时	A-Share	FX: CNY-index correlation	+425.1%	-57.2%	1.8	Daily
大小盘IF-IC轮动	A-Share	Liquidity: large/small cap rotation	+324.4%	-27.3%	1.9	Daily
PCR散户反指	US	Sentiment: Put/Call Ratio	+247.9%	-24.8%	1.7	Daily
冷门股反指	A-Share	Attention: low-volume value	+227.6%	-32.0%	1.5	Monthly
抄底信号灯（A股）	A-Share	Sentiment: limit-down rebound	+81.8%	-9.1%	1.6	Daily

Last updated: 2026-03-11 · Auto-updated weekly via GitHub Actions · Verify in git history <!-- PERFORMANCE_TABLE_END -->

All returns are cumulative since inception. Forward-tracked daily — every signal is timestamped at the moment it's published, immutable, including all losses and drawdowns. Git commit history provides an independent audit trail.

What is a Quantitative Signal Source?

Most quantitative services fall into three categories: self-build platforms (high technical barrier), asset management (you hand over your money), or copy-trading communities (unverifiable, opaque). A signal source is the fourth paradigm:

• A quant team runs strategy models and publishes trading signals
• You receive the signals and decide independently whether to act
• You execute in your own brokerage account — we never touch your funds
• All historical signals are forward-tracked with timestamps — fully auditable

Think of it as a weather forecast: it tells you there's an 80% chance of rain tomorrow. Whether you bring an umbrella is your decision.

How to evaluate any signal source — the QTGS Framework:

Dimension	Key Question
Forward Tracking Integrity	Are all signals timestamped and immutable, including losses?
Strategy Transparency	Can you explain in one sentence what the strategy profits from?
Custody Risk	Are user funds always under user control? Zero custody = zero run-away risk.
Factor Robustness	Is the alpha source a durable economic phenomenon, or data-mined coincidence?

Quick Start

Claude Desktop / Claude Code

{
  "mcpServers": {
    "quanttogo": {
      "command": "npx",
      "args": ["-y", "quanttogo-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "quanttogo": {
      "command": "npx",
      "args": ["-y", "quanttogo-mcp"]
    }
  }
}

Coze（扣子）/ Remote SSE

{
  "mcpServers": {
    "quanttogo": {
      "url": "https://mcp.quanttogo.com/sse",
      "transportType": "sse"
    }
  }
}

Remote Streamable HTTP

https://mcp-us.quanttogo.com:8443/mcp

Smithery

npx -y @smithery/cli install @anthropic/quanttogo-mcp --client claude

Tools

Discovery (free, no auth)

Tool	Description	Parameters
list_strategies	List all strategies with live performance	none
get_strategy_performance	Detailed data + daily NAV history for one strategy	productId, includeChart?
compare_strategies	Side-by-side comparison of 2-8 strategies	productIds[]
get_index_data	QuantToGo custom indices (DA-MOMENTUM, QTG-MOMENTUM)	indexId?
get_subscription_info	Subscription plans + how to start a free trial	none

Signals (requires API Key — get one via register_trial)

Tool	Description	Parameters
register_trial	Register a 30-day free trial with email, get API Key instantly	email
get_signals	Get latest buy/sell signals for a strategy	apiKey, productId, limit?
check_subscription	Check trial status and remaining days	apiKey

Resource: quanttogo://strategies/overview — JSON overview of all strategies.

Try It Now

Ask your AI assistant:

"List all QuantToGo strategies and compare the top performers."

"I want to try QuantToGo signals. Register me with my-email@example.com."

"Show me the latest trading signals for the US panic dip-buying strategy."

"帮我注册 QuantToGo 试用，邮箱 xxx@gmail.com，然后看看美股策略的最新信号。"

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中文

什么是 QuantToGo？

QuantToGo 是一个宏观因子量化信号源——不是交易平台，不是资管产品，不是跟单社区。

我们运行基于宏观经济因子（汇率周期、流动性轮动、恐慌情绪、跨市场联动）的量化策略模型，持续发布交易信号。用户接收信号后，自主判断、自主执行、自主承担盈亏。我们不触碰用户的任何资金。

类比：天气预报告诉你明天大概率下雨，但不替你决定带不带伞。

核心特征

• 宏观因子驱动：每个策略的信号来源都有明确的经济学逻辑，不是数据挖掘
• 指数为主：80%以上标的为指数ETF/期货，规避个股风险
• 前置验证：所有信号从发出那一刻起不可篡改，完整展示回撤和亏损
• 零资金委托：你的钱始终在你自己的券商账户
• AI原生：通过MCP协议可被任何AI助手直接调用

快速体验

对你的AI助手说：

"帮我列出QuantToGo所有的量化策略，看看它们的表现。"

"帮我注册 QuantToGo 试用，邮箱 xxx@gmail.com，然后看看最新的交易信号。"

"有没有做A股的策略？最大回撤在30%以内的。"

相关阅读

《量化信号源》系列文章：

1. 量化信号源：被低估的第四种量化服务范式（QTGS评估框架）
2. 宏观因子量化：为什么"硬逻辑"比"多因子"更适合信号源模式
3. 当AI学会调用量化策略：MCP协议与量化信号源的技术实现
4. 用AI助手获取实盘量化信号：一份实操指南

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License

MIT