def login():
kite = Zerodha()
#kite.set_access_token()
kite.load_creds()
kite.login()
logging.info("Kite Login details")
return kite
def start_live_feed(self):
self.alice.start_websocket(subscribe_callback=self.get_ltp,
socket_open_callback=self.open_callback,
run_in_background=True)
while (self.socket_opened == False):
pass
for key in self.ins_exc:
self.alice.subscribe(
self.alice.get_instrument_by_symbol(
self.ins_exc[key]['exchange'], key), LiveFeedType.COMPACT)
kite = Zerodha()
kite.load_creds()
kite.login()
if (key[-3:] == 'FUT'):
ins_kite = self.ins_exc[key]['exchange'] + ':' + key.split(
' ')[0] + str(datetime.date.today().year)[2:] + key.split(
' ')[1] + key.split(' ')[2]
ins_kite_number = kite.quote(
ins_kite)[ins_kite]['instrument_token']
from_date = datetime.date.today() - datetime.timedelta(days=5)
to_date = datetime.date.today()
interval = "minute"
self.data[key] = pd.DataFrame(
kite.historical_data(ins_kite_number,
from_date,
to_date,
interval,
continuous=False,
oi=False))
else:
ins_kite = self.ins_exc[key]['exchange'] + ':' + key
ins_kite_number = kite.quote(
ins_kite)[ins_kite]['instrument_token']
from_date = datetime.date.today() - datetime.timedelta(days=5)
to_date = datetime.date.today()
interval = "minute"
self.data[key] = pd.DataFrame(
kite.historical_data(ins_kite_number,
from_date,
to_date,
interval,
continuous=False,
oi=False))
self.data[key]['datetime'] = self.data[key]['date']
self.data[key]['ticker'] = key
self.data[key]['date'] = self.data[key]['datetime'].apply(
lambda x: x.date())
self.data[key]['time'] = self.data[key]['datetime'].apply(
lambda x: x.time())
self.data[key] = self.data[key][[
'datetime', 'ticker', 'open', 'high', 'low', 'close', 'volume',
'date', 'time'
]]
self.data[key]['datetime'] = self.data[key]['date'].apply(
str) + self.data[key]['time'].apply(str)
self.data[key]['datetime'] = self.data[key]['datetime'].apply(
lambda x: datetime.datetime.strptime(x, '%Y-%m-%d%H:%M:%S'))
self.data[key].set_index('datetime', inplace=True)
def start_live_feed(self):
# Start Alice Blue Websocket and set subscribe callback to get_ltp class method and
# socket open callback to open_callback class method
self.alice.start_websocket(subscribe_callback=self.get_ltp,
socket_open_callback=self.open_callback,
run_in_background=True)
# Wait and do nothing until socket_opened turns True
while(self.socket_opened==False):
pass
# Create a Zerodha object to get historical data using Jugaad Trader
kite = Zerodha()
# Automatically load pre-stored credentials
kite.load_creds()
# Login to Zerodha with loaded credentials
kite.login()
# Iterate over the keys in instrument_exchange dictionary, which are the instrument names
for key in self.instrument_exchange:
# Subscribe the particular instrument to alice blue by passing the instrument symbol name and exchange name
self.alice.subscribe(self.alice.get_instrument_by_symbol(self.instrument_exchange[key]['exchange'], key), LiveFeedType.COMPACT)
# Check if the particular instrument is Futures
if (key[-3:] == 'FUT'):
# Store the particular instrument in the form Zerodha can extract its token number
ins_kite = self.instrument_exchange[key]['exchange'] + ':' + key.split(' ')[0] + str(datetime.date.today().year)[2:] + key.split(' ')[1] + key.split(' ')[2]
# Extract the instrument's token number using quote method from Zerodha object
ins_kite_number = kite.quote(ins_kite)[ins_kite]['instrument_token']
# If the instrument is not Futures
else:
# Store the particular instrument in the form Zerodha can extract its token number
ins_kite = self.instrument_exchange[key]['exchange'] + ':' + key
# Extract the instrument's token number using quote method from Zerodha object
ins_kite_number = kite.quote(ins_kite)[ins_kite]['instrument_token']
# Define date from when you want historical data
# in this case, it is from 5 days ago
from_date = datetime.date.today() - datetime.timedelta(days = 5)
# Define date till when you want historical data
# in this case, it is until the current time
to_date = datetime.date.today()
# Define timeframe for the historical data's frequency
interval = "minute"
# Save historical data to class attribute data and append live resampled data to this eventually
self.data[key] = pd.DataFrame(kite.historical_data(ins_kite_number, from_date, to_date, interval, continuous=False, oi=False))
### Clean the Zerodha historical data to match its format to AliceBlue live data ###
# Create datetime column which is equal to the Zerodha historical data's date column
self.data[key]['datetime'] = self.data[key]['date']
# Create new column ticker to store symbol name
self.data[key]['ticker'] = key
# Reassign date column to the date extracted from datetime column
self.data[key]['date'] = self.data[key]['datetime'].apply(lambda x : x.date())
# Create time column to the time extracted from datetime column
self.data[key]['time'] = self.data[key]['datetime'].apply(lambda x : x.time())
# Reorder column names in the dataframe
self.data[key] = self.data[key][['datetime','ticker','open','high','low','close','volume','date','time']]
# Reassign datetime column as a combined string form of date and time from the respective columns
self.data[key]['datetime'] = self.data[key]['date'].apply(str) + self.data[key]['time'].apply(str)
# Set datetime column to datetime format using strptime method
self.data[key]['datetime'] = self.data[key]['datetime'].apply(lambda x : datetime.datetime.strptime(x, '%Y-%m-%d%H:%M:%S'))
# Set datetime column as index
self.data[key].set_index('datetime', inplace=True)
# ----------------------------------------------------------- ### Save Credentials ### # $ jtrader zerodha savecreds # Saves your creds in app config folder in file named .zcred # User ID >: USERID # Password >: # Pin >: # Saved credentials successfully # Once you have done this, you can call load_creds followed by login. from jugaad_trader import Zerodha kite = Zerodha() kite.load_creds() kite.login() print(kite.profile()) # ----------------------------------------------------------- # ----------------------------------------------------------- ### Config Directory ### # $ jtrader zerodha configdir ###### Delete configuration ###### ### To delete SESSION ### # $ jtrader zerodha rm SESSION