See Part I for instructions on how to get
yfinance module to retrieve the data.
How to get Stock Market Data for different geographies?
To get stock market data for different geographies, search the ticker symbol on Yahoo finance and use that as the ticker
Get stock market data for multiple tickers
To get the stock market data of multiple stock tickers, you can create a list of tickers and call the yfinance download method for each stock ticker.
For simplicity, I have created a dataframe
data to store the adjusted close price of the stocks.
# Import packages import yfinance as yf import pandas as pd # Set the start and end date start_date = '1990-01-01' end_date = '2021-07-12' # Define the ticker list tickers_list = ['AAPL', 'IBM', 'MSFT', 'WMT'] # Create placeholder for data data = pd.DataFrame(columns=tickers_list) # Fetch the data for ticker in tickers_list: data[ticker] = yf.download(ticker, start_date, end_date)['Adj Close'] # Print first 5 rows of the data data.head()
multiple_tickers_data.py hosted with ❤ by GitHub
# Plot all the close prices data.plot(figsize=(10, 7)) # Show the legend plt.legend() # Define the label for the title of the figure plt.title("Adjusted Close Price", fontsize=16) # Define the labels for x-axis and y-axis plt.ylabel('Price', fontsize=14) plt.xlabel('Year', fontsize=14) # Plot the grid lines plt.grid(which="major", color='k', linestyle='-.', linewidth=0.5) plt.show()
plot_multiple_tickers_data.py hosted with ❤ by GitHub
Stay tuned for next installment in which Ishan Shah will show how to analyze the stock market data for all the stocks which make up S&P 500.
See https://blog.quantinsti.com/stock-market-data-analysis-python/ for additional insight on this topic.
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