{"id":21203862,"url":"https://github.com/guslovesmath/top_tech_sp_500_forecasting","last_synced_at":"2025-03-14T22:44:49.086Z","repository":{"id":204051856,"uuid":"574646629","full_name":"GusLovesMath/Top_Tech_SP_500_Forecasting","owner":"GusLovesMath","description":"Forecasting the stock market is difficult. I sought to observe the relationship between Apple's stock price and others in the S\u0026P500. In doing this, I was able to conclude that stocks in the tech industry can help predict a trend in Apple's Percent change.","archived":false,"fork":false,"pushed_at":"2022-12-14T01:40:25.000Z","size":25627,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-21T15:15:46.511Z","etag":null,"topics":["arima-forecasting","arima-model","data","data-science","forecasting","vector-autoregression"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/GusLovesMath.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-12-05T19:11:30.000Z","updated_at":"2024-05-11T12:48:39.000Z","dependencies_parsed_at":null,"dependency_job_id":"ecf79605-28ae-4bb2-9286-30a0c73412cf","html_url":"https://github.com/GusLovesMath/Top_Tech_SP_500_Forecasting","commit_stats":null,"previous_names":["guslovesmath/top_tech_sp_500_forecasting"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FTop_Tech_SP_500_Forecasting","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FTop_Tech_SP_500_Forecasting/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FTop_Tech_SP_500_Forecasting/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GusLovesMath%2FTop_Tech_SP_500_Forecasting/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GusLovesMath","download_url":"https://codeload.github.com/GusLovesMath/Top_Tech_SP_500_Forecasting/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243658181,"owners_count":20326464,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["arima-forecasting","arima-model","data","data-science","forecasting","vector-autoregression"],"created_at":"2024-11-20T20:27:30.440Z","updated_at":"2025-03-14T22:44:48.568Z","avatar_url":"https://github.com/GusLovesMath.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Top_Tech_S-P_500_Forecasting\nForecasting the stock market is difficult. I sought to observe \nthe relationship between Apple's stock price and others in the\nS\u0026P500. In doing this, I was able to conclude that stocks in the \ntech industry can help predict a trend in Apple's\nPercent change. Using this, I went on to use a VAR model to\nhelp accommodate this relationship and actually forecast\nthe next quarter. From this, I tested the VAR model versus the\nArima model to ensure that using stocks in the related field \nis significant or not.\n\nAlso note that the dataset uploaded is not the same one used.\nThe version shared here is a cleaned version consisting of only\nthe top ten tech stocks in the S\u0026P500 based on average volume. \nA link to the orignal data set is below.\n\nhttps://www.kaggle.com/datasets/andrewmvd/sp-500-stocks?select=sp500_stocks.csv\n\nA teanty five page paper was written that goes in-depth on the anaylsis portion\nof the data analysis and modeling. If you would like to read it please contact me.\n\nMath \u0026 Physics Fun with Gus!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguslovesmath%2Ftop_tech_sp_500_forecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguslovesmath%2Ftop_tech_sp_500_forecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguslovesmath%2Ftop_tech_sp_500_forecasting/lists"}