# Fed interest rate decision odds on Kalshi

**Use case:** 

Collects the 20 open markets with the most trading in the last 24 hours of Kalshi's Fed rate decision series (KXFEDDECISION): one row per FOMC meeting outcome (hike, hold or cut) with implied probability, YES bid, ask and last price, total and 24-hour volume, open interest and close time. Use it to track market-implied odds of the next Fed move, or schedule it to build your own time series.

## Input

```json
{
  "sources": [
    "https://kalshi.com/markets/kxfeddecision"
  ],
  "status": "open",
  "max_markets": 20,
  "include_trades": false,
  "max_trades_per_market": 100,
  "include_price_history": false,
  "price_history_interval": "day",
  "price_history_days": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "ticker": {
    "label": "Ticker",
    "format": "text"
  },
  "event_title": {
    "label": "Event",
    "format": "text"
  },
  "subtitle": {
    "label": "Outcome",
    "format": "text"
  },
  "category": {
    "label": "Category",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "implied_probability": {
    "label": "Probability",
    "format": "number"
  },
  "yes_bid": {
    "label": "Yes bid $",
    "format": "number"
  },
  "yes_ask": {
    "label": "Yes ask $",
    "format": "number"
  },
  "last_price": {
    "label": "Last $",
    "format": "number"
  },
  "volume": {
    "label": "Volume",
    "format": "number"
  },
  "volume_24h": {
    "label": "24h volume",
    "format": "number"
  },
  "open_interest": {
    "label": "Open interest",
    "format": "number"
  },
  "close_time": {
    "label": "Closes",
    "format": "date"
  },
  "result": {
    "label": "Result",
    "format": "text"
  },
  "url": {
    "label": "Link",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Kalshi Prediction Markets Scraper Actor is ready to run with the inputs already set for "Fed interest rate decision odds on Kalshi". [Sign up or log in](https://console.apify.com/create-task-from-example/psXbRYq6WAJp0zbD3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Fed interest rate decision odds on Kalshi" task

The Kalshi Prediction Markets Scraper Actor will start running based on the input automatically. You can also change all the input fields, like kalshi links, tickers or categories, market status, and more, to match your specific use case.

### 3. Receive the "Fed interest rate decision odds on Kalshi" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ticker, event, outcome, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Fed interest rate decision odds on Kalshi" task via API](https://apify.com/mina_safwat/kalshi-scraper.md).

## About this Actor

This example demonstrates how to use [Kalshi Prediction Markets Scraper](https://apify.com/mina_safwat/kalshi-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mina_safwat/kalshi-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mina_safwat/kalshi-scraper.md

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`).