ICICI Breeze 10 mins, 15 mins Breakout Logic

from breeze_connect import BreezeConnect
from datetime import datetime,date,time,timedelta
import pandas as pd
import numpy as np
import math
from credentials001 import *

breeze = BreezeConnect(api_key=api_key)
breeze.generate_session(api_secret=api_secret, session_token=session_token)

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)


# stock = breeze.get_historical_data(interval="1minute",
#                                        from_date="2022-9-16T07:00:00.000Z",
#                                        to_date="2022-9-16T18:00:00.000Z",
#                                        stock_code="ITC",
#                                        exchange_code="NSE",
#                                        product_type="others")

stock = breeze.get_historical_data(interval="1minute", from_date="2022-9-19T09:00:00.000Z",
                                       to_date="2022-9-19T18:00:00.000Z", stock_code="CNXBAN", exchange_code="NFO",
                                       product_type="options",expiry_date="2022-09-22T18:00:00.000Z",
                                       right="call",strike_price=41200)
# print(stock)
df = pd.DataFrame(stock['Success'])
print(df)
df10 = df.iloc[:12]
# print(df10)
df15 = df.iloc[:17]
# print(df15)
# df13from = df.iloc[13:]
# print(df)
# max = df['high'].max()
# min = df['low'].min()
# print("For 10 mins:",df['high'].max(),df['low'].min(), df['open'][2],df['close'][11])
# print("For 10 mins:", df10['open'][1],df10['high'].max(),df10['low'].min(),df10['close'][11],df['close'].iloc[-1])
# print("For 15 mins:", df15['open'][1],df15['high'].max(),df15['low'].min(),df15['close'][16],df['close'].iloc[-1])
# print("For 15 mins:",df['high'].max(),df['low'].min(), df['open'][2],df['close'][16])

# if df['close'] > df10['high'].max():
#     print("Buy")

for index, row in df[14:].iterrows():
    print(df['close'].iloc[-1])
    # print("Previous close check:", df['close'].iloc[index-1:].max(), df10['high'].max())
    # print(df['close'].iloc[index-1:].max())
    if (df['close'].iloc[index-1:].max() < df10['high'].max()):
        print("Previous close check:",df['close'].iloc[index-1:].max(),df10['high'].max())
        if df['close'].iloc[-1] > df10['high'].max():
            print("Buy",df['close'].iloc[-1],df10['high'].max())
        else:
            break
    else:
        break

# for index, row in df[14:].iterrows():
#         if (df['close'].iloc[index-1] > df10['low'].min()):
#             if df['close'].iloc[-1] < df10['low'].min():
#                 print("Sell")
#             else:
#                 break
#         else:
#             break



# if df['close'].iloc[-1] > df10['high'].max():
#     print("Buy",df[13:])
# if df['close'].iloc[-1] < df10['low'].min():
#     print("Sell",df[13:])