import nsepy from datetime import date # Get VIX value using NSEPy Package def get_vix_value(): # Assume yesterday as today yesterday = date.today(); while True: # Get yesterday date as we are going to run this before market hours yesterday = yesterday – timedelta(1) # Get VIX value of yesterday

Python Code import pandas as pd from NSEOption import OptionChain nifty_name =”Nifty” banknifty_name = “Banknifty” objNifty = OptionChain(nifty_name) objBanknifty = OptionChain(banknifty_name) oi_df = pd.DataFrame({‘Script’: [nifty_name, banknifty_name], ‘Max Pain’: [objNifty.max_pain, objBanknifty.max_pain], ‘PCR’: [objNifty.pcr, objBanknifty.pcr], ‘High OI PE’: [objNifty.max_high_oi_pe, objBanknifty.max_high_oi_pe], ‘High OI CE’: [objNifty.max_high_oi_ce, objBanknifty.max_high_oi_ce], ‘Chng OI PE’: [objNifty.max_change_oi_pe, objBanknifty.max_change_oi_pe], ‘Chng OI

import pandas as pd import requests from datetime import datetime # Colunn at which strike price is listed in NSE option chain table strike_price_column_index = 11 # Encapuslate NSE option data and function class OptionChain: # static variable to hold current running expiry date expiry = ” # Common Utility

# import pandas library import pandas as pd import os import glob import ctypes # An included library with Python install. # define trade log file name tradelog_filename = “TradeLog.csv” tradehtml_filename = “TradeLog.html” # define account id to filer account_id = your_id # Remove the old file if os.path.exists(tradelog_filename): os.remove(tradelog_filename)

# Get all get possible expiry date details for the given script def get_expiry_from_future_list (symbol): # Base url page for the symbole with default expiry date Base_url = “https://www.nseindia.com/live_market/dynaContent/live_watch/fomwatchsymbol.jsp?key=” + symbol + “&Fut_Opt=Futures” # Load the page and sent to HTML parse page = requests.get(Base_url) soup = BeautifulSoup(page.content, ‘html.parser’) table_cls_2