S&P 500 Stocks | Time Series Prophet Forecast Model

This program reads downloaded S&P 500 Stocks Data that you can find in the archive folder as sp500_index.csv. The dataset includes the stocks daily closing price for the last 10 years(2013-2023).

Time Series Data Exploration

Data is explored and analyzed per year 2022 and 2023, it is also grouped by the last 5 years from 2018 to 2023.

Data is also used to create a new feature in our dataframe Return that represents the stocks daily return. The program used pandas library .diff() function to calculate the daily retruns.

Creating a Time Series Model with Prophet

Time Series model showed a very insightful trend for the past 10 years.