yes sir same problem occurs v{'success': False, 'message': 'Invalid Token', 'errorCode': 'AG8001', 'data': ''} please resolve this so we can fetch it using Functions Like SmartAPI.xyz

yes sir same problem occurs v{'success': False, 'message': 'Invalid Token', 'errorCode': 'AG8001', 'data': ''} please resolve this so we can fetch it using Functions Like SmartAPI.xyz

@admin123 @admin still getting this error on connection time out
num_threads = 2
delay_between_requests = 0.1 which sends 4 requests but still gets connection time out of my strategy which completes its ops in 90 sec at present it takes more than 280 sec (5 min approx). please resolve this.

url = "https://margincalculator.angelbroking.com/OpenAPI_File/files/OpenAPIScripMaster.json"

Read the JSON file and store it as a DataFrame

df = pd.read_json(url)
df1 = df[df['exch_seg'] == 'NFO']# retrieve only nfo segment

print (df1)

df1.to_csv('NFO.csv', index=True)

df2 = df1[(df1['instrumenttype'] == 'FUTSTK') & (df1['expiry'] == '27JUL2023')]#retrive only option stock

df2.to_csv('NFOOPTSTK.csv', index=False)

print (df2)

df2.loc['expiry'] = pd.to_datetime(df2['expiry'] ) #to sort according to expiry

expdt = df2.sort_values('expiry') #to sort according to expiry

print (expdt)

expdt.to_csv('sortedexp.csv', index=False)

Filter the DataFrame based on the condition

assingn_value = df2[(df2['instrumenttype'] == 'FUTSTK')]

tokens = assingn_value['token'].tolist()
symbols = assingn_value['symbol'].tolist()
names = assingn_value['name'].tolist()
instrument_types = assingn_value['instrumenttype'].tolist()
exch_types = assingn_value['exch_seg'].tolist()
lot_size = assingn_value['lotsize'].tolist()

print(names, lot_size, symbols)

combined_data = list(zip(tokens, symbols, names, instrument_types, exch_types, lot_size))

print("Combined Data:", combined_data) # Check if combined_data has any data

for row in combined_data:

print(*row)

for one stock or symbol

try:

ltp = smartApi.ltpData('NFO', symbols[1], tokens[1])

print(ltp)

except Exception as e:

print("Error fetching LTP data:", e)

for multiple stock using DF

ltp_data_list = []

try:
for i in range(len(symbols)):
# Assuming the JSON data is returned by smartApi.ltpData function
ltp_data = smartApi.ltpData('NFO', symbols[i], tokens[i])

    # Extract relevant data from the JSON
    exchange = ltp_data['data']['exchange']
    tradingsymbol = ltp_data['data']['tradingsymbol']
    symboltoken = ltp_data['data']['symboltoken']
    open_price = ltp_data['data']['open']
    high_price = ltp_data['data']['high']
    low_price = ltp_data['data']['low']
    close_price = ltp_data['data']['close']
    ltp = ltp_data['data']['ltp']
    lotsize = lot_size[i]

    # Append data to the list
    ltp_data_list.append({
        'Exchange': exchange,
        'symbol': tradingsymbol,
        'Exchange' : exchange,
        'token': symboltoken,
        'Open': open_price,
        'High': high_price,
        'Low': low_price,
        'Close': close_price,
        'LTP': ltp,
        'lotsize' :lot_size[i]
    })

    # Optional: print each symbol and LTP
    # print("Symbol: {} | LTP: {}".format(symbols[i], ltp))

except Exception as e:
print("Error fetching LTP data:", e)

Create a DataFrame

ltp_df = pd.DataFrame(ltp_data_list)

print(ltp_df)

ltp_df.to_csv ('ltp.csv', index= False )

filtered_stocks = ltp_df[I will write condition ] I want to fetch strike price of stock how can i