{"id":20977353,"url":"https://github.com/gusgitmath/toptech_sp500_forecasting","last_synced_at":"2026-04-21T23:03:14.705Z","repository":{"id":255378344,"uuid":"849430837","full_name":"GusGitMath/TopTech_SP500_Forecasting","owner":"GusGitMath","description":"Forecasting the stock market is difficult. I sought to observe the relationship between Apple's stock price and others in the S\u0026P500. 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This project explores the relationship between Apple's stock price and other stocks in the S\u0026P 500, particularly those in the technology sector. Through this analysis, I discovered that tech industry stocks can help predict trends in Apple's percentage price changes.\n\nTo model this relationship, I implemented a Vector Autoregression (VAR) model to forecast Apple's stock price for the next quarter. I then compared the performance of the VAR model against an ARIMA model to assess whether incorporating related stocks significantly improves forecasting accuracy.\n\n## Data\n\nPlease note that the dataset provided here is a cleaned version, containing only the top ten tech stocks in the S\u0026P 500 based on average trading volume. The original dataset, which includes a broader range of stocks, can be accessed through the following link:\n\n[Original S\u0026P 500 Stocks Dataset](https://www.kaggle.com/datasets/andrewmvd/sp-500-stocks?select=sp500_stocks.csv)\n\n## Further Reading\n\nA comprehensive analysis of the data and modeling process was documented in a twenty-five-page paper. If you are interested in reading the full analysis, please feel free to contact me.\n\n**Math \u0026 Physics Fun with Gus!**\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgusgitmath%2Ftoptech_sp500_forecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgusgitmath%2Ftoptech_sp500_forecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgusgitmath%2Ftoptech_sp500_forecasting/lists"}