for every historical data token, there is a delay of nearly 2 seconds instead of 3 token's data/sec?

amandeep179018

def get_login(api_k,api_s):
global kws,kite;
kite = KiteConnect(api_key=api_k)
print("[*] Generate access Token : ",kite.login_url())
request_tkn = input("[*] Enter Your Request Token Here : ");
data = kite.generate_session(request_tkn, api_secret=api_s)
kite.set_access_token(data["access_token"])
kws = KiteTicker(api_k, data["access_token"])


get_login(api_k,api_s);



sec = int(round(time.time()))
ab=(sec/300)

J=0
K= 0
arr_1d = []
arr_positive = []
arr_negative = []


one_time={'first':''}



global trd_portfolio






def on_ticks(ws, ticks):
arr_1d = []
arr_positive = []
arr_negative = []
while True:
abc = datetime.datetime.now()

if int(abc.strftime("%H"))>=9 :
if ("time" not in one_time.values())==True:
one_time['first']="time"
#time.sleep(10)
print("yo")


#time.sleep(10)
global trd_portfolio

trd_portfolio={

'ADANIENT':{'token':6401,'name':'ADANIENT','status':'','order_buy':'','order_sell':''},

'ADANIPORTS':{'token':3861249,'name':'ADANIPORTS','status':'','order_buy':'','order_sell':''},

'AMBUJACEM':{'token':325121,'name':'AMBUJACEM','status':'','order_buy':'','order_sell':''},

'ASIANPAINT':{'token':60417,'name':'ASIANPAINT','status':'','order_buy':'','order_sell':''},

'AXISBANK':{'token':1510401,'name':'AXISBANK','status':'','order_buy':'','order_sell':''},

'BANKBARODA':{'token':1195009,'name':'BANKBARODA','status':'','order_buy':'','order_sell':''},

'BHARTIARTL':{'token':2714625,'name':'BHARTIARTL','status':'','order_buy':'','order_sell':''},

'BPCL':{'token':134657,'name':'BPCL','status':'','order_buy':'','order_sell':''},

'CADILAHC':{'token':2029825,'name':'CADILAHC','status':'','order_buy':'','order_sell':''},

'CANBK':{'token':2763265,'name':'CANBK','status':'','order_buy':'','order_sell':''},

'CHOLAFIN':{'token':175361,'name':'CHOLAFIN','status':'','order_buy':'','order_sell':''},

'CIPLA':{'token':177665,'name':'CIPLA','status':'','order_buy':'','order_sell':''},

'COALINDIA':{'token':5215745,'name':'COALINDIA','status':'','order_buy':'','order_sell':''},

'DLF':{'token':3771393,'name':'DLF','status':'','order_buy':'','order_sell':''},

'EXIDEIND':{'token':173057,'name':'EXIDEIND','status':'','order_buy':'','order_sell':''},

'GAIL':{'token':1207553,'name':'GAIL','status':'','order_buy':'','order_sell':''},

'GRASIM':{'token':315393,'name':'GRASIM','status':'','order_buy':'','order_sell':''},

'HCLTECH':{'token':1850625,'name':'HCLTECH','status':'','order_buy':'','order_sell':''},

'HDFC':{'token':340481,'name':'HDFC','status':'','order_buy':'','order_sell':''},

'HDFCBANK':{'token':341249,'name':'HDFCBANK','status':'','order_buy':'','order_sell':''},

'HINDALCO':{'token':128112644,'name':'HINDALCO','status':'','order_buy':'','order_sell':''},

'HINDPETRO':{'token':359937,'name':'HINDPETRO','status':'','order_buy':'','order_sell':''},

'IBULHSGFIN':{'token':7712001,'name':'IBULHSGFIN','status':'','order_buy':'','order_sell':''},

'INDUSINDBK':{'token':1346049,'name':'INDUSINDBK','status':'','order_buy':'','order_sell':''},

'INFRATEL':{'token':7458561,'name':'INFRATEL','status':'','order_buy':'','order_sell':''},

'INFY':{'token':408065,'name':'INFY','status':'','order_buy':'','order_sell':''},

'IOC':{'token':415745,'name':'IOC','status':'','order_buy':'','order_sell':''},

'ITC':{'token':424961,'name':'ITC','status':'','order_buy':'','order_sell':''},

'JSWSTEEL':{'token':3001089,'name':'JSWSTEEL','status':'','order_buy':'','order_sell':''},

'LT':{'token':2939649,'name':'LT','status':'','order_buy':'','order_sell':''},

'M&M':{'token':519937,'name':'M&M','status':'','order_buy':'','order_sell':''},

'MANAPPURAM':{'token':4879617,'name':'MANAPPURAM','status':'','order_buy':'','order_sell':''},

'NTPC':{'token':2977281,'name':'NTPC','status':'','order_buy':'','order_sell':''},

'ONGC':{'token':633601,'name':'ONGC','status':'','order_buy':'','order_sell':''},

'PNB':{'token':2730497,'name':'PNB','status':'','order_buy':'','order_sell':''},

'POWERGRID':{'token':3834113,'name':'POWERGRID','status':'','order_buy':'','order_sell':''},

'RELIANCE':{'token':738561,'name':'RELIANCE','status':'','order_buy':'','order_sell':''},

'SBIN':{'token':779521,'name':'SBIN','status':'','order_buy':'','order_sell':''},

'SRTRANSFIN':{'token':1102337,'name':'SRTRANSFIN','status':'','order_buy':'','order_sell':''},

'SUNPHARMA':{'token':857857,'name':'SUNPHARMA','status':'','order_buy':'','order_sell':''},

'TATAMOTORS':{'token':884737,'name':'TATAMOTORS','status':'','order_buy':'','order_sell':''},

'TECHM':{'token':3465729,'name':'TECHM','status':'','order_buy':'','order_sell':''},

'TITAN':{'token':897537,'name':'TITAN','status':'','order_buy':'','order_sell':''},

'TVSMOTOR':{'token':2170625,'name':'TVSMOTOR','status':'','order_buy':'','order_sell':''},

'UPL':{'token':2889473,'name':'UPL','status':'','order_buy':'','order_sell':''},

'VEDL':{'token':784129,'name':'VEDL','status':'','order_buy':'','order_sell':''},

'WIPRO':{'token':969473,'name':'WIPRO','status':'','order_buy':'','order_sell':''},

'ZEEL':{'token':975873,'name':'ZEEL','status':'','order_buy':'','order_sell':''}

}
# for company_data in ticks:

for name in trd_portfolio.copy():

token = int(trd_portfolio[name]['token'])
name = str(trd_portfolio[name]['name'])

print("NAME OF THE STOCK__________________",name)
from_date1='2020-04-16'
to_date1='2020-05-16'
interval1="day"
records_pivot = kite.historical_data(token, from_date1, to_date1, interval1)
df1 = pd.DataFrame(records_pivot)
date1=pd.to_datetime(df1['date'])

from_date2='2020-04-16'
to_date2='2020-05-16'
interval2="5minute"
records = kite.historical_data(token, from_date2, to_date2, interval2)
df = pd.DataFrame(records)
date2=pd.to_datetime(df['date'])

## CALCLUATIONS OF STRATERGY ####################

def on_connect(ws, response):
ws.subscribe([6401,3861249,325121,60417,1510401,1195009,2714625,134657,
2029825,2763265,175361,177665,5215745,3771393,173057,1207553,315393,
1850625,340481,341249,128112644,359937,7712001,1346049,7458561,408065,
415745,424961,3001089,2939649,519937,4879617,2977281,633601,2730497,
3834113,738561,779521,1102337,857857,884737,3465729,897537,2170625,
2889473,784129,969473,975873])


ws.set_mode(ws.MODE_FULL,[6401,3861249,325121,60417,1510401,1195009,2714625,134657,
2029825,2763265,175361,177665,5215745,3771393,173057,1207553,315393,
1850625,340481,341249,128112644,359937,7712001,1346049,7458561,408065,
415745,424961,3001089,2939649,519937,4879617,2977281,633601,2730497,
3834113,738561,779521,1102337,857857,884737,3465729,897537,2170625,
2889473,784129,969473,975873])



kws.on_ticks = on_ticks
kws.on_connect = on_connect
kws.connect()


I have to rely a lot on historical data for this strategy so if my data connection disables for even 15 min due to any issue then all of my calculations will be affected so I need historical data for every stock but for some reason, there is a delay in getting data. The data I get for every
token has a delay of nearly 2 seconds but the historical data's limit is 3 requests per second so what is causing this delay?

rakeshr

@amandeep179018

The data I get for every token has a delay of nearly 2 seconds

Historical data API is not designed to be continuously polled for live usage. You can go through this thread.

amandeep179018

I know that, but what about the claim that Zerodha give of 3 requests per second?
does this mean that I just have to be okay with a dealy which is nearly six times greater??
also, I have read a few queries where the latency was reduced to 300 milliseconds. How can I do the same???

please give some other solution or reason for the delay based on the code that I have provided. I have already suffered enough loss due to wasted days of subscription.

sujith

@amandeep179018,
Kite Connect is purely an execution platform. We don't provide support or solution for writing or enhancing the strategies. It is outside the scope of this forum.