# Options Max Pain Calculator (`gochujang/options-max-pain-calculator`) Actor

Calculate options max pain price for stocks and ETFs to identify likely expiration targets

- **URL**: https://apify.com/gochujang/options-max-pain-calculator.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% 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

## Options Max Pain Calculator

Calculate the max pain price for any optionable stock — the strike price where option sellers (market makers) suffer minimum loss at expiration. Used by options traders to identify key price levels.

### Features

- **Max pain calculation**: Computes total open interest pain across all strikes
- **Multiple expirations**: Process weekly, monthly, and LEAPS chains
- **Pain by strike**: Full breakdown of pain value at each strike
- **Price deviation**: Current price vs max pain % deviation
- **Alerts**: Telegram notification when deviation exceeds threshold
- **Bulk tickers**: Process multiple symbols in one run

### Input

| Field | Description | Default |
|-------|-------------|---------|
| `tickers` | Option symbols (e.g. SPY, AAPL, QQQ) | \["SPY", "QQQ"] |
| `expirationFilter` | Filter expirations (days to expiry) | all |
| `alertDeviationPct` | Alert when price deviates by this % from max pain | 5 |
| `telegramBotToken` | Telegram alerts | — |
| `telegramChatId` | Telegram chat ID | — |

### Output

Each record includes: `ticker`, `expiration`, `max_pain_strike`, `current_price`, `deviation_pct`, `total_call_oi`, `total_put_oi`, `pain_by_strike`.

### Pricing

Pay-per-event: **$0.01 per expiration** calculated. Actor start: $0.001.

### Use Cases

- Weekly expiration pinning: Identify likely price magnets for 0DTE/weekly options
- Portfolio hedging: Understand where market makers want price at expiry
- Options strategy: Choose strikes relative to max pain level

# Actor input Schema

## `tickers` (type: `array`):

List of tickers to calculate max pain for.

## `expirations` (type: `integer`):

How many upcoming expiration dates to calculate per ticker.

## `alertMaxPainDeviation` (type: `number`):

Send Telegram alert when current price deviates from max pain by at least this percentage.

## `telegramBotToken` (type: `string`):

Telegram bot token for max pain alerts (from BotFather). Leave empty to disable.

## `telegramChatId` (type: `string`):

Telegram chat ID to receive max pain alerts.

## `webhookUrl` (type: `string`):

POST webhook URL to receive max pain alert payloads. Leave empty to disable.

## Actor input object example

```json
{
  "tickers": [
    "SPY",
    "QQQ",
    "AAPL",
    "NVDA"
  ],
  "expirations": 3,
  "alertMaxPainDeviation": 2
}
```

# Actor output Schema

## `dataset` (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 = {
    "tickers": [
        "SPY",
        "QQQ",
        "AAPL",
        "NVDA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("gochujang/options-max-pain-calculator").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 = { "tickers": [
        "SPY",
        "QQQ",
        "AAPL",
        "NVDA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("gochujang/options-max-pain-calculator").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 '{
  "tickers": [
    "SPY",
    "QQQ",
    "AAPL",
    "NVDA"
  ]
}' |
apify call gochujang/options-max-pain-calculator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gochujang/options-max-pain-calculator"
        }
    }
}
```

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/PtT6axHhOZmbvW5en/builds/8iHFnHOFTwEG2tfT8/openapi.json