Historical data giving wrong data

to_date = datetime.now()
from_date = to_date - timedelta(hours=15)

And while searching for the answer to your question,i found a issue too. In the historical data doc's example, the curl shows that the data was requested from=2015-12-28+09:30:00&to=2016-01-01+10:30:00 and the data was requested at 2016-01-01+13:30:00. Then why does the response is from 2015-12-28+09:15:00 to 2016-01-01+13:30:00. Shouldn't it be from=2015-12-28+09:30:00&to=2016-01-01+10:30:00?? Please throw some light on this also Rakesh Sir and Sujith Sir.

@Duke2sky

When I ask for nifty 50 historical data on 06dec2021 it is also giving data with timestamp 0645 hrs

Can you check, if you are setting/manipulating tzinfo(time zone) in pandas? As, python historical data, date field is timezone aware field.

@SRIJAN

Then why does the response is from 2015-12-28+09:15:00 to 2016-01-01+13:30:00. Shouldn't it be from=2015-12-28+09:30:00&to=2016-01-01+10:30:00??

Yes, candle data should be from 2015-12-28T09:30:00+0530 to 2016-01-01T10:30:00+0530. We will update the response example. Thanks for pointing out

@rakeshr
I am not manipulating timezone in pandas. Today on 07 dec same issue is there where at 0945 hrs when I fetch historical data keeping time delta of 6 hours I am getting data of 0645 too. If I increase time delta to 20 hours , it is giving correct data from 0915 hrs.