OTC Stock Shell Risk Scoring: How to Screen Penny Stocks Programmatically

OTC Stock Shell Risk Scoring: How to Screen Penny Stocks Programmatically

When developing retail trading tools or fintech apps that need to screen penny stocks and OTC (Over The Counter) stock listings, one critical aspect is identifying shell companies. These are often thinly traded stocks run by individuals with little transparency into their operations. Identifying such companies can significantly reduce risk for your investors.

One way to automate this process is through the use of an API that provides sample data on potentially risky OTC stocks. Let’s take a look at how you might implement this in Python:

python
import requests

# Define the URL and API key (obtained from API documentation)
url = "https://api.verilexdata.com/api/v1/otc/sample"
headers = {
    'Authorization': 'Bearer YOUR_API_KEY',  # Replace with your actual API key
}

# Send a GET request to fetch sample OTC data
response = requests.get(url, headers=headers)

# Check if the request was successful (status code 200)
if response.status_code == 200:
    otc_data = response.json()

    # Here we can filter for companies that might be considered shell stocks based on criteria like low volume or no financial reports
    risky_stocks = [company['ticker'] for company in otc_data if company['volume