Real-time Stock Price Data Visualization from Yahoo Stocks using Python

Photo by Luke Chesser on Unsplash

We have visited the stock prices of any company on Google or using any Search Engine and found a complete chart that represents the latest and historical stock prices.

Here we have added the complete code that will help you to create a real-time stock price data visualization system using Python where you will enter the name of a company and the stock prices data will be visualized according to the company stock from Yahoo as an output.

So, in this article, I will take you through the task of real-time stock price data visualization using Python, To create a real-time stock price data visualization application, I will use provided streamlit library in Python which will show real-time data as a website dashboard.

Photo by Chris Liverani on Unsplash

In this task, we can use the streamlit library to create an interactive user interface where a user will enter the name of any company, and the stock price data will be visualized in the final result as output with a graphical interface and the matplotlib library in Python also used to show analysis.

Before Running make sure you have installed: Streamlit, Matplotlib, Pandas using pip, here is code to install:

pip install streamlit

pip install pandas

pip install matplotlib

pip install pandas_datareader

pip install yfinance

Now below is how you can create a real-time stock price data visualization application using Python:

#Real-time Stock Price Data Visualization from Yahoo Stocks using Python

##imported libraries
import pandas as pd
import pandas_datareader.data as web
import matplotlib.pyplot as plt
import datetime
from datetime import date, timedelta
today = date.today()

#configuring date
d1 = today.strftime(“%Y/%m/%d”)
end_date = d1
d2 = date.today() — timedelta(days=360)
d2 = d2.strftime(“%Y/%m/%d”)
start_date = d2

##importing streamlit library
import streamlit as st

#defining title of dashboard
st.title(“Real-time Stock Price Data Analysis by Babar Ali Jamali”)
a = st.text_input(“Enter Any Company >>:”)

#data analysis and plots
data = web.DataReader(name=a, data_source=’yahoo’, start=start_date, end=end_date)
fig, ax = plt.subplots()
ax = data[“Close”].plot(figsize=(12, 8), title=a+” Stock Prices”, fontsize=20, label=”Close Price”)
plt.legend()
plt.grid()
st.pyplot(fig)

Keep following us for more posts.