# Macro Regime Liquidity Mcp (`mcp_collector/macro-regime-liquidity-mcp`) Actor

- **URL**: https://apify.com/mcp_collector/macro-regime-liquidity-mcp.md
- **Developed by:** [koon](https://apify.com/mcp_collector) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 1,000 macro regime analyses

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🌐 Global Macro Regime & Liquidity Scanner MCP

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-orange?logo=apify)](https://apify.com)
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**Ultra-fast (<3s) Zero-Proxy MCP Tool for AI Agents (Claude, Cursor, LangChain).**\
Computes macroeconomic regime (Goldilocks, Stagflation, Reflation, Deflation), market Risk Appetite Score (0-100), and tactical asset allocation recommendations using 7 core macro asset classes in compact JSON and a 1-line Markdown summary.

***

### ⚡ Key Value for AI Agents

1. **95% LLM Context Token Saving**: Instead of feeding hundreds of daily candles across 8 global assets into the LLM context, this tool returns pre-computed deterministic indicators in ~400 tokens.
2. **Deterministic Calculations**: No LLM floating point hallucinations. Yield spreads, 20-day changes, credit ratios, and moving averages are computed directly in Python.
3. **Micro-SaaS Pay-Per-Event (PPE)**: Only $0.008 per call. No expensive $200/month financial API subscriptions required.

***

### 📊 Core Tracked Macro Assets

- **10Y Treasury Yield (`^TNX`)**: Long-term discount rate & rate momentum ($\Delta 20d$).
- **2Y Treasury Yield (`2YY=F` / `^IRX`)**: Policy rate expectations & Yield Curve Spread ($10Y - 2Y$).
- **US Dollar Index (`DX-Y.NYB`)**: Global dollar liquidity tightening vs easing.
- **WTI Crude Oil (`CL=F`)**: Supply-side inflation pressures.
- **Gold (`GC=F`)**: Geopolitical and fiat debasement hedge demand.
- **Credit Spread Proxy (`HYG / IEF`)**: High Yield vs Treasury relative ratio (credit risk / default stress).
- **VIX (`^VIX`)**: Market fear and expected volatility.

***

### 🧭 4-Quadrant Macro Regime Matrix

| Regime | Growth | Inflation / Rates | Tactical Strategy |
| :--- | :---: | :---: | :--- |
| 🟢 **GOLDILOCKS** | High | Contained / Low | 🚀 **Bullish Risk-On**: Overweight Tech, AI/Semiconductors, High-Beta Growth. |
| 🔴 **STAGFLATION** | Slowing | Surging | 🛡️ **Defensive Hedge**: Energy, Commodities, Cash, Short Duration. Avoid high PE stocks. |
| 🟡 **REFLATION** | Expanding | Rising | 🏗️ **Cyclical Value**: Financials, Industrials, Materials, Energy. |
| 🔵 **DEFLATION_CONTRACTION**| Contracting| Falling | ⚓ **Capital Preservation**: Long Treasuries (TLT/IEF), Gold, Defensive Healthcare/Utilities. |

***

### 🔌 Claude Desktop & Cursor MCP Configuration

Add this to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "macro-regime-scanner": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/mcp-server",
        "--actor",
        "YOUR_APIFY_USERNAME/macro-regime-liquidity-mcp"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}
```

***

### 📦 Output Sample

```json
{
  "timestamp_utc": "2026-10-31 08:43:00 UTC",
  "macro_regime": "REFLATION (리플레이션: 경기확장 + 원자재/금리 동반상승)",
  "risk_appetite_score": 68.5,
  "risk_sentiment": "NEUTRAL_SELECTIVE (중립·선별적 투자 국면)",
  "tactical_strategy": "🏗️ CYCLICAL_VALUE (경기민감 가치주): 에너지, 원자재, 금융주, 인프라 섹터 유리.",
  "indicators": {
    "yield_curve": {
      "treasury_10y_yield": 4.93,
      "treasury_2y_yield": 4.57,
      "spread_10y_2y": 0.36,
      "yield_spread_status": "FLAT_EXPANSION (평탄화·금리 전환기)"
    },
    "dollar_liquidity": {
      "dollar_index_dxy": 101.88,
      "dxy_20d_change_pct": -0.05,
      "dollar_status": "NEUTRAL_FLOW (달러 유동성 중립 안정)"
    },
    "volatility": {
      "vix": 19.42,
      "vix_status": "NORMAL_MARKET (정상 변동성 구간)"
    }
  },
  "summary_md": "**Macro Regime: REFLATION** (Risk Score: 68.5/100) | 10Y Yield: 4.93% | 10Y-2Y Spread: +0.36% | DXY: 101.88 | Oil: $104.12 | VIX: 19.42"
}
```

# Actor input Schema

## `detailed` (type: `boolean`):

Whether to include full breakdown of yield curve, dollar, oil, credit, and volatility metrics alongside the regime classification.

## Actor input object example

```json
{
  "detailed": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mcp_collector/macro-regime-liquidity-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("mcp_collector/macro-regime-liquidity-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call mcp_collector/macro-regime-liquidity-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mcp_collector/macro-regime-liquidity-mcp"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fBZaJlK5Gpw5JSTmf/builds/9lW9grGFrzaSxSjmQ/openapi.json