{"id":18702242,"url":"https://github.com/johnberroa/randomforest-stockpredictor","last_synced_at":"2025-04-12T08:44:59.247Z","repository":{"id":73848714,"uuid":"92721440","full_name":"johnberroa/RandomForest-StockPredictor","owner":"johnberroa","description":"Utilizing the ensemble method of random forests to predict stock prices.","archived":false,"fork":false,"pushed_at":"2018-02-19T22:25:25.000Z","size":29962,"stargazers_count":10,"open_issues_count":2,"forks_count":5,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-26T03:51:16.483Z","etag":null,"topics":["ensemble","prediction","random-forest","stock-market"],"latest_commit_sha":null,"homepage":null,"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/johnberroa.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-05-29T08:35:34.000Z","updated_at":"2024-11-26T02:16:17.000Z","dependencies_parsed_at":null,"dependency_job_id":"e747594e-769d-4adf-a27c-23ac31a33d91","html_url":"https://github.com/johnberroa/RandomForest-StockPredictor","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnberroa%2FRandomForest-StockPredictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnberroa%2FRandomForest-StockPredictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnberroa%2FRandomForest-StockPredictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnberroa%2FRandomForest-StockPredictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/johnberroa","download_url":"https://codeload.github.com/johnberroa/RandomForest-StockPredictor/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248543836,"owners_count":21121838,"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":["ensemble","prediction","random-forest","stock-market"],"created_at":"2024-11-07T11:45:16.283Z","updated_at":"2025-04-12T08:44:59.240Z","avatar_url":"https://github.com/johnberroa.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Random Forest Stock Predictor\nUtilizing the ensemble method of random forests to predict stock prices, based on the results of Khaidem, Saha, \u0026 Dey (2016).\nGroup course project for *Ensemble Methods of Machine Learning*, summer semester 2017 at the University of Osnabrück.\n### Usage\n1. Clone repo with: \\\n```git clone https://github.com/johnberroa/RandomForest-StockPredictor.git```\n2. Use the [Technical Analysis Notebook.ipynb](Technical%20Analysis%20Notebook.ipynb) to generate indicators by running the whole notebook.\n  This will save them to the file ```data_preprocces.csv```. \n3. Next run the [Random Forest Notebook.ipynb](Random%20Forest%20Notebook.ipynb). The Results can be found in the results directory.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjohnberroa%2Frandomforest-stockpredictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjohnberroa%2Frandomforest-stockpredictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjohnberroa%2Frandomforest-stockpredictor/lists"}