Data Extraction and Data Visualization
In this project, I will 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 I will visualize it in a dashboard to identify patterns or trends. The stocks I will analyze are AMD, Netflix, GameStop, and Tesla.
The stock ticker is a report of the price of a certain stock, updated continuously throughout the trading session by the various stock market exchanges. I will be using the y-finance API to obtain the stock ticker and extract information about the stock, since it allows us to extract data for stocks returning data in a pandas dataframe. Not all data is available via API, hence I will also be using wescraping tools to obtain financial data. We will extract historical stock data from a web-page using the Beautiful Soup Library.