Wrong Assignment of Dates when pulling historical data

[AndyR88]

Hi,
I was pulling historical yield data with a daily resolution, for example:
DE10Y = tv.get_hist(symbol='DE10Y',exchange='TVC',interval=Interval.in_daily, n_bars=10)

which yields:
symbol open high low close volume
datetime
2024-03-05 22:00:00 TVC:DE10Y 2.323 2.362 2.311 2.330 0.0
2024-03-06 22:00:00 TVC:DE10Y 2.332 2.350 2.250 2.298 0.0
2024-03-07 22:00:00 TVC:DE10Y 2.290 2.297 2.233 2.272 0.0
2024-03-10 21:00:00 TVC:DE10Y 2.269 2.318 2.241 2.303 0.0
2024-03-11 21:00:00 TVC:DE10Y 2.303 2.342 2.275 2.325 0.0
2024-03-12 21:00:00 TVC:DE10Y 2.325 2.370 2.295 2.367 0.0
2024-03-13 21:00:00 TVC:DE10Y 2.367 2.437 2.357 2.436 0.0
2024-03-14 21:00:00 TVC:DE10Y 2.426 2.455 2.423 2.434 0.0
2024-03-17 21:00:00 TVC:DE10Y 2.436 2.468 2.429 2.455 0.0
2024-03-18 21:00:00 TVC:DE10Y 2.455 2.465 2.428 2.446 0.0

The values are correct but the dates are all shifted by one day, i.e. the last values in the df should be for 2024-03-19 (not the 18th), while 2024-03-17 has the values of 2024-03-18 bar when checking against the TradingView website. The 17th was a Sunday...
Am I calling the function incorrectly? Should I explicitly set a timezone? Or is it a bug?
Thank you!

[nicholasyoder]

I have also noticed this issue.

[silla30]

from tvDatafeed import TvDatafeed, Interval
tv = TvDatafeed()
index_data = tv.get_hist(symbol='NIFTY', exchange='NSE', interval=Interval.in_1_hour, n_bars=1000)

print(index_data)

ERROR:tvDatafeed.main:Connection is already closed.
ERROR:tvDatafeed.main:no data, please check the exchange and symbol
None

help

[nitin7478]

import pandas as pd
nifty.index = nifty.index + pd.Timedelta(hours=5, minutes=30)

#adjusted time offset using timedelta

[Sinansi]

I am getting wrong datetime on the hourly time frame. There is one hour backward shift in time. This problem does not appear on all of the historical data. It starts from October 2022. Prior to this date, the time is accurate.