Gives Claude direct access to macro-factor quantitative trading signals for US and China equity markets through 8 tools and 1 resource. You can list all strategies with live performance stats, pull detailed NAV histories, compare multiple strategies side by side, and query custom momentum indices. The interesting bit is the trial registration flow: Claude can call register_trial with an email to get an API key instantly, then use get_signals to fetch actual buy/sell positions for specific strategies and check_subscription to monitor trial status. All performance is forward tracked with immutable timestamps, not backtested. Useful if you're building an AI that needs to query or monitor quantitative signals without touching user funds or managing execution.
Public tool metadata for what this MCP can expose to an agent.
list_strategiesList all available trading strategies with live performance data. Returns strategy name, market (US/China), total return, drawdown, and recent returns.List all available trading strategies with live performance data. Returns strategy name, market (US/China), total return, drawdown, and recent returns.
No parameter schema in public metadata yet.
get_strategy_performanceGet 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).3 paramsGet 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).
apiKeystringproductIdstringincludeChartbooleanget_index_dataGet custom market indices — China A-share momentum and strategy-weighted momentum. Requires API key (get one free via register_trial).2 paramsGet custom market indices — China A-share momentum and strategy-weighted momentum. Requires API key (get one free via register_trial).
apiKeystringindexIdstringDA-MOMENTUM · QTG-MOMENTUMcompare_strategiesCompare multiple strategies side-by-side — returns, drawdown, and recent performance.1 paramsCompare multiple strategies side-by-side — returns, drawdown, and recent performance.
productIdsarrayget_subscription_infoGet subscription plans and free trial info.Get subscription plans and free trial info.
No parameter schema in public metadata yet.
register_trialStart a free 30-day trial. Provide your email, get an API key instantly. Calling again with the same email returns your existing account.1 paramsStart a free 30-day trial. Provide your email, get an API key instantly. Calling again with the same email returns your existing account.
emailstringget_signalsGet today's buy/sell signals for a strategy. Requires API key from register_trial.3 paramsGet today's buy/sell signals for a strategy. Requires API key from register_trial.
limitnumberapiKeystringproductIdstringcheck_subscriptionCheck subscription status and remaining trial days. Requires API key from register_trial.1 paramsCheck subscription status and remaining trial days. Requires API key from register_trial.
apiKeystringA 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.
| 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% | -43.5% | 2.0 | Weekly |
| 平滑版3x纳指 | US | Trend: TQQQ timing | +558.3% | -69.9% | 1.4 | Monthly |
| 大小盘IF-IC轮动 | China | Liquidity: large/small cap rotation | +446.2% | -22.0% | 1.9 | Daily |
| 聪明钱沪深300择时 | China | FX: CNY-index correlation | +385.8% | -29.9% | 1.8 | Daily |
| PCR散户反指 | US | Sentiment: Put/Call Ratio | +247.9% | -24.8% | 1.7 | Daily |
| 冷门股反指 | China | Attention: low-volume value | +227.6% | -32.0% | 1.5 | Monthly |
| 抄底信号灯(A股) | China | Sentiment: limit-down rebound | +81.8% | -9.1% | 1.6 | Daily |
Last updated: 2026-06-22 · Auto-updated weekly via GitHub Actions · Verify in git history
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.
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:
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? |
{
"mcpServers": {
"quanttogo": {
"command": "npx",
"args": ["-y", "quanttogo-mcp"]
}
}
}
Add to .cursor/mcp.json:
{
"mcpServers": {
"quanttogo": {
"command": "npx",
"args": ["-y", "quanttogo-mcp"]
}
}
}
{
"mcpServers": {
"quanttogo": {
"url": "https://mcp.quanttogo.com/sse",
"transportType": "sse"
}
}
}
https://mcp-us.quanttogo.com:8443/mcp
| 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 |
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.
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。"
| Audience | URL |
|---|---|
| Visitors / Free Trial | www.quanttogo.com/playground |
| Subscribers / Invited Users | www.quanttogo.com · web.quanttogo.com |
| AI Agents / Mechanism Audit | www.quanttogo.com/ai/ |
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。
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。"
| 用户类型 | 地址 |
|---|---|
| 访客 / 免费试用 | www.quanttogo.com/playground |
| 订阅用户 | www.quanttogo.com · web.quanttogo.com |
| AI 代理 / 机制审计 | www.quanttogo.com/ai/ |
《量化信号源》系列文章:
MIT