NSDQ_HALTS

Use below in linux terminal to recieve a loopback feed every 15 minutes of all stocks currently on halted status in the NASDAQ market.
Add to file in path, and chmod + x permissions, then enter the command from any folder and leave terminal running.



#!/usr/bin/env python3
import feedparser
from bs4 import BeautifulSoup
import time

# URL of the Nasdaq trade halts RSS feed
feed_url = "http://www.nasdaqtrader.com/rss.aspx?feed=tradehalts"

# Function to extract relevant details from the HTML table in the description
def extract_halt_details(description):
    # Parse the HTML content
    soup = BeautifulSoup(description, 'html.parser')
    # Extract the table data
    data = [td.get_text(strip=True) for td in soup.find_all('td')]
    
    # Extract and clean relevant fields
    halt_date = data[0] if len(data) > 0 else "N/A"
    halt_time = data[1] if len(data) > 1 else "N/A"
    symbol = data[2] if len(data) > 2 else "N/A"
    issue_name = data[3] if len(data) > 3 else "N/A"
    market = data[4] if len(data) > 4 else "N/A"
    reason_code = data[5] if len(data) > 5 else "N/A"
    resumption_date = data[7] if len(data) > 7 else "N/A"
    resumption_quote_time = data[8] if len(data) > 8 else "N/A"
    resumption_trade_time = data[9] if len(data) > 9 else "N/A"

    # Return the cleaned-up values
    return halt_date, halt_time, symbol, issue_name, market, reason_code, resumption_date, resumption_quote_time, resumption_trade_time

# Function to fetch and display halt data
def fetch_trade_halts():
    # Parse the RSS feed
    feed = feedparser.parse(feed_url)

    # Process each entry in the feed
    for entry in feed.entries:
        halt_date, halt_time, symbol, issue_name, market, reason_code, resumption_date, resumption_quote_time, resumption_trade_time = extract_halt_details(entry.description)

        # Print only the relevant information
        print(f"{halt_date}\t{halt_time}\t{symbol}\t{issue_name}\t{market}\t{reason_code}\t{resumption_date}\t{resumption_quote_time}\t{resumption_trade_time}")

# Run the script every 15 minutes
while True:
    fetch_trade_halts()
    time.sleep(900)  # Sleep for 15 minutes (900 seconds)