Stock Market Data And Analysis In Python – Part II

See Part I for instructions on how to get pandas_datareader or 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.

Past performance is not indicative of future results.

Any stock, options or futures symbols displayed are for illustrative purposes only and are not intended to portray recommendations.