pip install --user yahoo-historical
- get_historical()
- get_dividends()
- get_splits()
Below details the available method params for creating a Fetcher object.
- ticker: The ticker symbol to download historical data for
- start: Start date as Unix timestamp
- end: End date as Unix timestamp (defaults to
time.time()
) - interval: Interval to fetch historical data (can be 1d, 1wk, 1mo, defaults to 1d)
from yahoo_historical import Fetcher
import datetime
import time
# create unix timestamp representing January 1st, 2007
timestamp = time.mktime(datetime.datetime(2007, 1, 1).timetuple())
data = Fetcher("AAPL", timestamp)
print(data.get_historical())
Date Open High Low Close Adj Close Volume
0 2007-01-03 12.327143 12.368571 11.700000 10.812462 11.971429 309579900
1 2007-01-04 12.007143 12.278571 11.974286 11.052453 12.237143 211815100
2 2007-01-05 12.252857 12.314285 12.057143 10.973743 12.150000 208685400
3 2007-01-08 12.280000 12.361428 12.182858 11.027935 12.210000 199276700
Note that you can return a dictionary instead of a DataFrame by setting the as_dataframe
flag to False
.
from yahoo_historical import Fetcher
import datetime
import time
# create unix timestamp representing January 1st, 2007
timestamp = time.mktime(datetime.datetime(2007, 1, 1).timetuple())
data = Fetcher("AAPL", timestamp)
print(data.get_historical(as_dataframe=False))