Can some one verify my logic and suggest me corrections

APIs, Automation, Algos & Code
1

DAYTF = tsl.get_historical_data(tradingsymbol = stock_name,exchange = ‘NSE’,timeframe=“1day”)
TODAY_5MIN = tsl.get_historical_data(tradingsymbol = stock_name,exchange = ‘NSE’,timeframe=“5”) # this call has been updated to get_historical_data call,

	if (DAYTF is None) or (TODAY_5MIN is None) :
		continue

	if (DAYTF.empty) or (TODAY_5MIN.empty):
		continue
		

	# Conditions to fetch yesterdays data (high and low and close) 
	yesterday      = DAYTF.iloc[-1]  #pandas  yesterday completed candle 
	return PDH = yesterday['high'],
	return PDL = yesterday['low'], 
	return PD_open = yesterday['open']
	return PD_close = yesterday['close']

	# coditions to fetch current day's open
	today          = DAYTF.iloc[0]
	return Today_OPEN = today['open']

	#conditions to check gap_up or gap_down and bullish or bearish yesterday's daily candle
	gap_up            = Today_OPEN > PD_close
	gap_down          = Today_OPEN < PD_close
	yesterday_bullish = PD_close > PD_open
	yesterday_bearish = PD_close < PD_open 

	# Conditions that are on 5 minute timeframe
			
	cc_5           = TODAY_5MIN.iloc[-1]   # pandas
	prev_cc_5      = TODAY_5MIN.iloc[-2]
	third_cc_5     = TODAY_5MIN.iloc[-3]

	bullish_reversal    =  third_cc_5['close'] >= PDL and prev_cc_5['close'] < PDL and cc_5['close'] > PDL
	bearish_reversal    =  third_cc_5['close'] <= PDH and prev_cc_5['close'] > PDH and cc_5['close'] < PDH
2

Hi @NiKHiL_S_R

there is corrected needed in

DAYTF = tsl.get_historical_data(tradingsymbol='ACC', exchange='NSE', timeframe="DAY")

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