How to predict the Market using hd1-units.herokuapp.com

predictMkt.py

import argparse
import requests

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description="Get the next day's predicted market close and tolerance range for any US-listed equity")
    parser.add_argument('SYMBOL', help='symbol', action='store', type=str)
    parsed = parser.parse_args()

    URL = 'https://hd1-units.herokuapp.com/stock'
    params = {'sym': parsed.SYMBOL}
    resp = requests.get(URL, params=params).json()
    #[prices.update({r : resp[r]}) for r in resp if ' Close' in r else del(r)]
    prices = {}
    for r in resp:
        if not r.endswith('Close'): 
            continue

        prices[r[:r.index(' ')]] = resp[r]
    csv = ','.join(prices.values())
    stats_response = requests.post('https://hd1-units.herokuapp.com/stat', data=csv, headers={'Content-type': 'text/csv'}).json()
    print(f'''Next {parsed.SYMBOL} close will be between {stats_response['lowerQuartile']} and {stats_response['upperQuartile']} with a predicted value of {stats_response['predictionNext']}.''')