#data['ATR'] = data['High'].diff().abs().rolling(window=atr_period).mean()

<br />time.sleep(1)<br />#data.set_index(&quot;date&quot;,inplace=True)<br />return data<br />testdate = dt.datetime(2024, 1, 5)<br />Test_Token = df[df.tradings

trd_portfolio = [738561 , 5633] #data in int list..

#data = kite.generate_session(req_tocken, api_secret=Jfile['Api_Secret'])

#data = kite.historical_data(instrument_token, from_date,'6-1-2021', interval, continuous= continuous, oi= oi)

name_file_to_be_read="Data_collection" #data will be stored in this file

#data = kite.generate_session(request_tkn, api_secret=api_s)

#data = kite.generate_session( request_token, api_secret=api_secret)

#data.set_index('date', inplace=True)

#data = kite.generate_session(request_token,api_secret=asecret)

#data = kite.generate_session("request_token_here", api_secret="your_secret")

columns=df_cols, index=[]) #dataframe definition<br />tradedic = {3050241:&quot;YESBANK&quot;,895745:&quot;TATASTEEL&quot;,1887745:&quot;STAR&quot;,77

)<br />#data = {738561:{'last_price':[],'timeStamp':[]}}<br />#data_instrument_token.set_index('timeStamp')<br />ltpDict = {134657:0, 1629185:0, 895745:0, 3924993:0, 348929:0, 75852

)<br />#data = {738561:{'last_price':[],'timeStamp':[]}}<br />#data_instrument_token.set_index('timeStamp')<br />ltpDict = {134657:0, 1629185:0, 895745:0, 3924993:0, 348929:0, 75852

#data_dict = tick[0]