yahoo-historical

Fetches historical EOD (end of day) prices from yahoo finance


Keywords
finance, historical-data, pandas, pandas-dataframe, yahoo, yahoo-api, yahoo-finance
License
MIT
Install
pip install yahoo-historical==1.0.0

Documentation

PyPi version Total downloads via Pip yahoo-historical build status

yahoo-historical

Installation

pip install --user yahoo-historical

Methods

  • get_historical()
  • get_dividends()
  • get_splits()

Example Usage

Below details the available method params for creating a Fetcher object.

Arguments

  • ticker: The ticker symbol to download historical data for
  • start: Start date as Unix timestamp

Optional Arguments

  • 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))