How to Build Financial Tools with Yahoo Finance & Python

In this Yahoo Finance and Python article we want to learn How to Build Financial Tools with Yahoo Finance & Python, so Yahoo Finance API is a free service that allows you to access financial data for thousands of companies. you can use this data to analyze trends, build custom financial models and make informed investment decisions.

First of all we need to install this library

pip install yfinance

1	pip install yfinance

Now that you have access to financial data using Yahoo Finance API and Python, you can start building custom financial tools. these are some examples:

Real-time stock price tracker

You can build real time stock price tracker that will display the current stock price of a company. this is an example code snippet that will fetch the real time stock price of Apple Inc. (AAPL)

import yfinance as yf

# Define  ticker symbol
tickerSymbol = 'AAPL'

# Get  data for the stock
tickerData = yf.Ticker(tickerSymbol)

# Get  real tim stock price
tickerPrice = tickerData.info['regularMarketPrice']

print('Real-time stock price for {}: ${}'.format(tickerSymbol, tickerPrice))

import yfinance as yf

# Define ticker symbol

tickerSymbol = 'AAPL'

# Get data for the stock

tickerData = yf.Ticker(tickerSymbol)

# Get real tim stock price

tickerPrice = tickerData.info['regularMarketPrice']

print('Real-time stock price for {}: ${}'.format(tickerSymbol, tickerPrice))

This will be the result

How to Build Financial Tools with Yahoo Finance & Python

Historical stock price analyzer

You can build a tool that will analyze the historical stock prices of a company and display the average stock price for a given time period. this is an example code that will fetch the historical stock prices of Apple Inc. and calculate the average stock price for the year 2022:

import yfinance as yf

# Defin ticker symbol
tickerSymbol = 'AAPL'

# Get data for the stock
tickerData = yf.Ticker(tickerSymbol)

# Get the historical prices for this stock
tickerDf = tickerData.history(period='1d', start='2022-1-1', end='2022-12-31')

# Calculate the average stock price for the year 2022
avgPrice = tickerDf['Close'].mean()

print('Average stock price for {} in 2022: ${}'.format(tickerSymbol, round(avgPrice, 2)))

import yfinance as yf

# Defin ticker symbol

tickerSymbol = 'AAPL'

# Get data for the stock

tickerData = yf.Ticker(tickerSymbol)

# Get the historical prices for this stock

tickerDf = tickerData.history(period='1d', start='2022-1-1', end='2022-12-31')

# Calculate the average stock price for the year 2022

avgPrice = tickerDf['Close'].mean()

print('Average stock price for {} in 2022: ${}'.format(tickerSymbol, round(avgPrice, 2)))

This will be the result

Investment portfolio analyzer

You can build a tool that will analyze the performance of your investment portfolio over time. this is an example code that will fetch the historical stock prices of two companies (AAPL and MSFT) and calculate the total return on a hypothetical investment portfolio:

import yfinance as yf

# Defin ticker symbols
tickerSymbols = ['AAPL', 'MSFT']

# Get the data  the stocks
tickerData = yf.download(tickerSymbols, start='2022-1-1', end='2022-12-31')

# Calculate the total return on the investment portfolio
totalReturn = ((tickerData['Adj Close'].iloc[-1] / tickerData['Adj Close'].iloc[0]) - 1) * 100

print('Total return on investment portfolio: {}%'.format(round(totalReturn, 2)))