symbols = ["NIFTY", "ITC", "BBC", ....etc]
from tvDatafeed import TvDatafeed, Interval
tv = TvDatafeed()
tv = TvDatafeed(username, password, chromedriver_path=None)
tv = TvDatafeed(auto_login=true)
nifty_data = tv.get_hist(symbol='NIFTY',exchange='NSE',interval=Interval.in_1_hour,n_bars=1)
print(nifty_index_data)
#result will be like this in pandas>>>>>>>
datetime | symbol | open | high | low | close | volume |
---|---|---|---|---|---|---|
2023-07-20 08:45:00 | NSE:NIFTY | 19943.15 | 19991.85 | 19935.45 | 19987.05 | 60215122.0 |
There is around 1060 stocks/symbols and we have to run script again-again to scrap different data for different symbols like this >>>
# nifty
nifty_data = tv.get_hist(symbol='NIFTY',exchange='NSE',interval=Interval.in_1_hour,n_bars=1)
# ITC
ITC_data = tv.get_hist(symbol='ITC',exchange='NSE',interval=Interval.in_1_hour,n_bars=1)
# RELIANCE
RELIANCE_data = tv.get_hist(symbol='RELIANC',exchange='NSE',interval=Interval.in_1_hour,n_bars=1)
print(nifty_data)
print(ITC_data)
print(RELIANCE_data)
#this will return 3 different tables
#i need data in 1 datafame
I need all symbol data in one data frame like this>>>
datetime | symbol | open | high | low | close | volume |
---|---|---|---|---|---|---|
2023-07-20 03:45:00 | NSE:BORORENEW | 474.50 | 485.00 | 473.45 | 483.75 | 89517.0 |
2023-07-20 03:45:00 | NSE:NIFTY | 19841.15 | 19844.00 | 19784.55 | 19813.35 | 19934954.0 |
AND I ALSO DONT WAN'T TO RUN SCRIPT AGAIN-AGAIN BY CHANGING SYMBOL NAME
PLESE HELP THIS IS MY FIRST INTERVIEW PRESENTATION
**LIBARRY THAT I USED>>>TVDATAFEED **