Extracting-and-Visualizing-Stock-Data-Using-Python

Project Overview :

• Role is to extract financial data like historical share price and quarterly revenue reportings from various sources using Python libraries and webscraping on popular stocks. After collecting this data visualizing it in a dashboard to identify patterns or trends. The stocks used to work with are Tesla, Amazon, AMD, and GameStop.

Tools Used :

• Skills Network Labs - Jupyter Notebook
• Watson Studio by IBM

Working 1 Extracting Stock Data Using a Python Library :

• Using the yfinance Library to Extract Stock Data
• Using yfinance Library to Extract Historical Share Price Data
• Using yfinance Library to Extract Historical Dividends Data

Working 2 Extracting Stock Data Using a Web Scraping :

• Downloading the Webpage Using Requests Library
• Parsing Webpage HTML Using BeautifulSoup
• Extracting Data and Building DataFrame

Working 3 Extracting and Visualizing Stock Data :

• Using yfinance to Extract Stock Data
• Using Webscraping to Extract Tesla Revenue Data
• Using yfinance to Extract Stock Data
• Using Webscraping to Extract GME Revenue Data
• Ploting Tesla Stock Graph
• Ploting GameStop Stock Graph

Libraries Used during the Project:

Using Yfinance Library to extract Stock Data:

Using Webscraping to Extract GME Revenue Data:

Plot Tesla Stock Graph

Plot GameStop Stock Graph