Abhishek Satish Raut

agreed with @ValueRaider other factors, like regional trading practices, should be considered when deciding on the best approach. > Tradingview for ^NSEI starts with 9:15. That's a good enough argument...

> do you want the intervals to be [9:15AM, 3:15PM] or [9:15AM, 3:30PM]? if you talking about starting time of each candle, then its surely starts from 9:15 AM, and...

> This is because yfinance resamples 30m data from 15m, but naive resampling assumes alignment at hh:00. Why resample? Because apparently the requesting Yahoo for 30m data returned 60m, but...

> Regarding 60m - I can't reproduce, all the hourly intervals start/end at hh:15 I am sorry, As i recheck now, the 60 mins time frame working well. its ending...

> That's ok. Someone else will, someone familiar with yfinance code. It means, We have to wait for the update of yfinance. How long we can expect this? or there...

> That's ok. Someone else will, someone familiar with yfinance code. I have solved this issue. Those who face same dificulty like me, can try the below example code: ```...

> There's a real bug here, leave it open. > Your hack doesn't fix the underlying problem, the first interval of day is wrong. > You are right, I didn't...

@ivan23kor My issue is not with 60 mins time frame. issue coming in 30 mins interval. in the indian stock market, 30 mins interval is from hh:15 to hh:45. and...

I have solved this problem by following code: ``` import yfinance as yf import pandas as pd import os #function to convert 15 mins data to 30 mins data. def...

> I'm not reviewing that code, it's awful. Pandas isn't difficult, do some tutorials, and Numpy tutorials too because I suspect you don't understand vector programming. Yes. You are right,...