# FOMC Meetings & Fed Policy Intelligence (`khnaami/fomc-meetings-fed-policy-intelligence`) Actor

Federal Reserve FOMC meeting schedules, Fed Funds target rate history, CME FedWatch implied probabilities, decision-day multi-asset price reactions, Fed statement NLP text extraction, and Fed Net Liquidity balance sheet tracking.

- **URL**: https://apify.com/khnaami/fomc-meetings-fed-policy-intelligence.md
- **Developed by:** [khalid naami](https://apify.com/khnaami) (community)
- **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## FOMC Meetings & Fed Policy Intelligence 🏦🇺🇸

**FOMC Meetings & Fed Policy Intelligence** is a comprehensive Federal Reserve quantitative intelligence Actor on Apify. It extracts official FOMC calendars, historical Federal Funds target rates, CME FedWatch market-implied rate cut/hike probabilities, official press statement paragraphs, decision-day multi-asset price reaction overlays, and Fed Net Liquidity balance sheet metrics (QT/QE).

***

### 🌟 Key Features

1. **Official FOMC Meeting Calendar & Status:**
   - Detailed session schedule with start/end dates, SEP (Summary of Economic Projections / Dot Plot) indicators, and real-time days countdown (`Closed`, `NEXT`, `Scheduled`).

2. **Historical Federal Funds Target Rates (FRED Integration):**
   - Seamless tracking of upper target rate bounds (`DFEDTARU`), historical target rates (`DFEDTAR`), and effective rates (`DFF`).
   - Computes current rate, previous rate, last change date, and basis points delta (+/- bps).

3. **CME FedWatch Implied Rate Probabilities:**
   - Probabilities distribution for upcoming policy decisions: **Pause/Hold**, **Cut 25 bps**, **Cut 50+ bps**, and forward-priced interest rate path across all upcoming meetings.

4. **Day-of-Decision (Wednesday) Asset Price Reaction Overlays:**
   - Computes actual percentage returns on policy announcement days across equities (**SPY**), cryptocurrency (**BTC-USD**), safe-haven commodities (**GC=F** Gold), and benchmark bond yields (**^TNX** 10Y Treasury).

5. **Official Statement & Minutes Document Scraping:**
   - Scrapes official Federal Reserve press release statement URLs (HTML/PDF) and minutes (HTML/PDF), extracting clean text paragraphs.

6. **Federal Reserve Net Liquidity & Balance Sheet Tracker (QT/QE):**
   - Tracks Fed Total Assets (`WALCL`), Reverse Repo Agreements (`WLRRAL`), Treasury General Account (`WDTGAL`), and computes **Net Fed Liquidity = WALCL - (WLRRAL + WDTGAL)** with 30-day liquidity momentum.

***

### 📥 Input Configuration

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `targetYear` | `integer` | `2026` | Calendar year for FOMC schedule meetings (2020–2030). |
| `includeHistoricalRates` | `boolean` | `true` | Fetch Federal Funds Target and Effective rate history from FRED. |
| `includeFedWatchProbabilities` | `boolean` | `true` | Model CME FedWatch rate hike/cut probability distributions. |
| `includeDecisionDayAssetOverlays` | `boolean` | `true` | Compute exact day-of-decision price moves for benchmark assets. |
| `assetsToAnalyze` | `array` | `["SPY", "BTC-USD", "GC=F", "^TNX"]` | Tickers to analyze on decision days. |
| `includeStatementTexts` | `boolean` | `true` | Scrape clean paragraphs from recent Federal Reserve press releases. |
| `includeFedLiquidityBalanceSheet` | `boolean` | `true` | Track Fed balance sheet assets and Net Liquidity (QT/QE). |

***

### 📤 Output Schema

```json
{
  "recordType": "FOMC_MEETING_SESSION",
  "year": 2026,
  "meetingDates": "Mar 17–18, 2026",
  "meetingStartDate": "2026-03-17",
  "meetingEndDate": "2026-03-18",
  "hasSepProjections": true,
  "status": "Closed",
  "daysRemaining": 0,
  "currentFedRate": 3.75,
  "lastChangeBps": -25.0,
  "lastChangeDate": "2026-04-29",
  "actionSummary": "Cut 25 bps (to 4.00%)",
  "impliedPauseProbPct": 64.2,
  "impliedCut25ProbPct": 31.8,
  "impliedCut50ProbPct": 4.0,
  "assetDecisionDayReturns": {
    "SPY": 1.25,
    "BTC-USD": 3.42,
    "GC=F": -0.45,
    "^TNX": -2.10
  },
  "statementHtml": "https://www.federalreserve.gov/newsevents/pressreleases/monetary20260318a.htm",
  "statementParagraphs": [
    "Recent indicators suggest that economic activity has continued to expand at a solid pace...",
    "The Committee decided to lower the target range for the federal funds rate by 25 basis points..."
  ],
  "fedNetLiquidity": {
    "totalAssetsBillions": 6850.2,
    "reverseRepoBillions": 240.5,
    "treasuryAccountBillions": 720.1,
    "netLiquidityBillions": 5889.6,
    "policyRegime": "Quantitative Tightening (QT)"
  }
}
```

***

### 🚀 Local Run

```bash
uv run --with apify --with pandas --with numpy --with yfinance --with requests --with beautifulsoup4 --with pytz --with python-dateutil python -m src.main
```

# Actor input Schema

## `targetYear` (type: `integer`):

The target year for FOMC schedule meetings (e.g. 2026, 2025).

## `includeHistoricalRates` (type: `boolean`):

Fetch historical Federal Funds Target and Effective rate history from FRED.

## `includeFedWatchProbabilities` (type: `boolean`):

Calculate market-implied rate hike/cut probability distributions for upcoming sessions.

## `includeDecisionDayAssetOverlays` (type: `boolean`):

Analyze exact day-of-decision price moves across equities, crypto, commodities, and yields.

## `assetsToAnalyze` (type: `array`):

Tickers to compute returns for on FOMC decision Wednesdays.

## `includeStatementTexts` (type: `boolean`):

Extract full clean text paragraphs from recent Federal Reserve monetary policy press releases.

## `includeFedLiquidityBalanceSheet` (type: `boolean`):

Track Fed Total Assets (WALCL), Reverse Repo (WLRRAL), Treasury General Account (WDTGAL), and Net Liquidity (QT/QE).

## Actor input object example

```json
{
  "targetYear": 2026,
  "includeHistoricalRates": true,
  "includeFedWatchProbabilities": true,
  "includeDecisionDayAssetOverlays": true,
  "assetsToAnalyze": [
    "SPY",
    "BTC-USD",
    "GC=F",
    "^TNX"
  ],
  "includeStatementTexts": true,
  "includeFedLiquidityBalanceSheet": true
}
```

# Actor output Schema

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

Dataset items and records produced by the Actor

## `overview` (type: `string`):

Summary report stored in Key-Value store

# 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 = {
    "assetsToAnalyze": [
        "SPY",
        "BTC-USD",
        "GC=F",
        "^TNX"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("khnaami/fomc-meetings-fed-policy-intelligence").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 = { "assetsToAnalyze": [
        "SPY",
        "BTC-USD",
        "GC=F",
        "^TNX",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("khnaami/fomc-meetings-fed-policy-intelligence").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 '{
  "assetsToAnalyze": [
    "SPY",
    "BTC-USD",
    "GC=F",
    "^TNX"
  ]
}' |
apify call khnaami/fomc-meetings-fed-policy-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,khnaami/fomc-meetings-fed-policy-intelligence"
        }
    }
}
```

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/MGW8tW6geDBoKYf5k/builds/hkEG67EZVEJffMyA5/openapi.json