Get Financial Data from Yahoo Finance with Python
In this article, we will see how to get financial data from Yahoo Finance using Python. We can retrieve company financial information (e.g. financial ratios), as well as historical market data by using this.
Installation:
Let us install them via pip commands
pip install yfinance
Once it is installed, we can import yfinance package in python code We need to pass as an argument of Ticker i.e. the ticker of the company
Note: A stock symbol or a ticker is a unique series of letters assigned to a security for trading purposes. For example:
- For Amazon, it is “AMZN”
- For Facebook, it is “FB”
- For Google, it is “GOOGL”
Below are various programs which depict how to retrieve Financial Data from Yahoo Finance:
Let us take the results for Facebook and hence using “FB”.
Python3
import yfinance as yahooFinance # Here We are getting Facebook financial information # We need to pass FB as argument for that GetFacebookInformation = yahooFinance.Ticker( "FB" ) # whole python dictionary is printed here print (GetFacebookInformation.info) |
Output :
We can retrieve financial key metrics like Company Sector, Price Earnings Ratio, and Company Beta from the above dictionary of items easily. Let us see the below code.
Python3
import yfinance as yahooFinance GetFacebookInformation = yahooFinance.Ticker( "FB" ) # display Company Sector print ( "Company Sector : " , GetFacebookInformation.info[ 'sector' ]) # display Price Earnings Ratio print ( "Price Earnings Ratio : " , GetFacebookInformation.info[ 'trailingPE' ]) # display Company Beta print ( " Company Beta : " , GetFacebookInformation.info[ 'beta' ]) |
Output :
Company Sector : Communication Services Price Earnings Ratio : 31.029732 Company Beta : 1.286265
Though we have retrieved few financial key metrics, as it is a dictionary value, we can split that by means of key-value pair.
Python3
import yfinance as yahooFinance GetFacebookInformation = yahooFinance.Ticker( "FB" ) # get all key value pairs that are available for key, value in GetFacebookInformation.info.items(): print (key, ":" , value) |
Output :
We can retrieve historical market prices too and display them.
Python3
import yfinance as yahooFinance GetFacebookInformation = yahooFinance.Ticker( "FB" ) # Let us get historical stock prices for Facebook # covering the past few years. # max->maximum number of daily prices available # for Facebook. # Valid options are 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, # 5y, 10y and ytd. print (GetFacebookInformation.history(period = "max" )) |
Output :
Even we can have the data for 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, and ytd.
Let us check out for 6 months
Python3
import yfinance as yahooFinance GetFacebookInformation = yahooFinance.Ticker( "FB" ) # Valid options are 1d, 5d, 1mo, 3mo, 6mo, 1y, # 2y, 5y, 10y and ytd. print (GetFacebookInformation.history(period = "6mo" )) |
Output :
We have the flexibility to get historical market data for the provided start and end dates too.
Python3
import yfinance as yahooFinance # in order to specify start date and # end date we need datetime package import datetime # startDate , as per our convenience we can modify startDate = datetime.datetime( 2019 , 5 , 31 ) # endDate , as per our convenience we can modify endDate = datetime.datetime( 2021 , 1 , 30 ) GetFacebookInformation = yahooFinance.Ticker( "FB" ) # pass the parameters as the taken dates for start and end print (GetFacebookInformation.history(start = startDate, end = endDate)) |
Output :
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