In this project, I would like to analyze historical Apple stock trading data from 2010-2023 to understand trends in Apple’s stock price movement. This analysis could help investors looking at Apple stock decide whether or not to invest in Apple. For our analysis, I could try testing different models to predict stock price and then use actual stock performance to check the accuracy of the predictions and understanding of the data.
I am referencing publicly available data downloaded from the Nasdaq. Since it is being sourced directly from the exchange we are not concerned about the quality of the data and since it refers to stock data we don't think there are any ethical implications with the gathering and use of this data. The data has 6 columns: Date, Closing Price, Volume, Pen Price, High price, Low Price. The data 2517 rows each represent a single trading day.
I plan to do at least two visualization for this project. The visualization we want to make is a linear regression model predicting the price of Apple.