ganigithub · October 3, 2022 07:57 · 26dhruv · Jul 4, 2022 · ganigithub · Jul 4, 2022
diff --git a/historical_data_funciton.py b/historical_data_funciton.py
 def instrument_token(data, symbol):
    """
    This function will return the token number of the instrument from data
    """
    return data[data.tradingsymbol == symbol].instrument_token.values[0]

 def historical_data(symbol, from_date, to_date, interval):
    """
    This function will return historical data of the instrument for specific period of days for specific interval
    """
    
    df = pd.DataFrame()   
    int_token = instrument_token(nse_data, symbol)  #the function we defined above which will return token no. of instrument
    
    to_date   = pd.Timestamp(to_date)
    from_date = pd.Timestamp(from_date)

    while True:
        if from_date >= (to_date - dt.timedelta(60)):                     #if from_date is within the 60 days limit
            df = df.append(pd.DataFrame(kite.historical_data(int_token, from_date, to_date, interval)))
            break
            
        else:                                                            #if from_date has more than 60 days limit
            to_date_new = from_date + dt.timedelta(60)
            
            df = df.append(pd.DataFrame(kite.historical_data(int_token, from_date, to_date_new, interval)))
            
            #to_date = from_date.date() + dt.timedelta(60)
            from_date = to_date_new
            
    return df
	def instrument_token(data, symbol):
	"""
	This function will return the token number of the instrument from data
	"""
	return data[data.tradingsymbol == symbol].instrument_token.values[0]

	def historical_data(symbol, from_date, to_date, interval):
	"""
	This function will return historical data of the instrument for specific period of days for specific interval
	"""

	df = pd.DataFrame()
	int_token = instrument_token(nse_data, symbol) #the function we defined above which will return token no. of instrument

	to_date = pd.Timestamp(to_date)
	from_date = pd.Timestamp(from_date)

	while True:
	if from_date >= (to_date - dt.timedelta(60)): #if from_date is within the 60 days limit
	df = df.append(pd.DataFrame(kite.historical_data(int_token, from_date, to_date, interval)))
	break

	else: #if from_date has more than 60 days limit
	to_date_new = from_date + dt.timedelta(60)

	df = df.append(pd.DataFrame(kite.historical_data(int_token, from_date, to_date_new, interval)))

	#to_date = from_date.date() + dt.timedelta(60)
	from_date = to_date_new

	return df