# FINRA Short Interest (`pushbuild/finra-short-interest`) Actor

Twice-monthly short interest for every US exchange-listed and OTC stock from FINRA's consolidated data. Shares short, change, days to cover and average daily volume. Screen the whole market or track tickers over time.

- **URL**: https://apify.com/pushbuild/finra-short-interest.md
- **Developed by:** [Pushbuild Data](https://apify.com/pushbuild) (community)
- **Categories:** Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.30 / 1,000 rows

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

## FINRA Short Interest

Short interest for every US exchange-listed and OTC stock, straight from FINRA's consolidated short interest data, in clean JSON. Updated twice a month.

### What you get

Per ticker and settlement date: shares short, previous shares short, change and change %, average daily volume, **days to cover**, listing market, and stock-split / revision flags.

### Use cases

- Squeeze screens: highest days to cover or biggest short build-ups on the latest date.
- Short-covering alerts: largest drops in shares short.
- Backtests: point-in-time history by settlement date.

### Input examples

```json
{"symbols": ["GME", "AMC"], "dateFrom": "2025-01-01"}
```

```json
{"settlementDate": "latest", "market": "exchange", "minAvgDailyVolume": 500000, "sortBy": "daysToCover", "maxItems": 100}
```

```json
{"maxChangePercent": -30, "minShortInterest": 1000000, "sortBy": "changePercent", "order": "asc"}
```

### Notes

- FINRA collects short positions as of two settlement dates each month (mid-month and month-end) and publishes them about seven business days later.
- Without symbols, results are for the latest settlement date or every settlement date in a range of up to 92 days.
- Pricing: per row returned.

# Actor input Schema

## `symbols` (type: `array`):

e.g. GME, AMC. Leave empty to screen the whole market for one or more settlement dates.

## `settlementDate` (type: `string`):

YYYY-MM-DD, or 'latest'. Overrides the date range.

## `dateFrom` (type: `string`):

YYYY-MM-DD. Default: one year back with symbols; latest settlement date without. Market screens are limited to 92 days.

## `dateTo` (type: `string`):

YYYY-MM-DD. Default: today.

## `market` (type: `string`):

Listing market.

## `minShortInterest` (type: `integer`):

Only rows with at least this many shares short.

## `minDaysToCover` (type: `number`):

Shares short / average daily volume.

## `minAvgDailyVolume` (type: `integer`):

Filters out thinly traded stocks.

## `minChangePercent` (type: `number`):

Change in shares short vs the previous settlement date, in percent.

## `maxChangePercent` (type: `number`):

Use a negative number to find short covering.

## `sortBy` (type: `string`):

Default: settlement date with symbols, shares short without.

## `order` (type: `string`):

Sort direction.

## `maxItems` (type: `integer`):

Maximum rows returned.

## Actor input object example

```json
{
  "symbols": [
    "GME"
  ],
  "market": "all",
  "order": "desc",
  "maxItems": 1000
}
```

# 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 = {
    "symbols": [
        "GME"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pushbuild/finra-short-interest").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 = { "symbols": ["GME"] }

# Run the Actor and wait for it to finish
run = client.actor("pushbuild/finra-short-interest").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 '{
  "symbols": [
    "GME"
  ]
}' |
apify call pushbuild/finra-short-interest --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pushbuild/finra-short-interest"
        }
    }
}
```

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/rPtFh8M1B978o725e/builds/9JiKbCF2b3QQ93mZF/openapi.json