{"id":18044006,"url":"https://github.com/adrigrillo/ibexpredictor","last_synced_at":"2025-04-05T03:13:09.346Z","repository":{"id":111667717,"uuid":"74372597","full_name":"adrigrillo/IBEXPredictor","owner":"adrigrillo","description":"Next day tendency predictor for the IBEX35 stock","archived":false,"fork":false,"pushed_at":"2017-10-05T13:42:58.000Z","size":17274,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-02-10T11:13:36.481Z","etag":null,"topics":["datagetter","machine-learning","neural-network","predictor","random-forest","stock-market"],"latest_commit_sha":null,"homepage":"","language":"Python","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/adrigrillo.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":"2016-11-21T14:37:08.000Z","updated_at":"2018-10-12T10:34:48.000Z","dependencies_parsed_at":"2023-05-25T09:45:41.109Z","dependency_job_id":null,"html_url":"https://github.com/adrigrillo/IBEXPredictor","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/adrigrillo%2FIBEXPredictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adrigrillo%2FIBEXPredictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adrigrillo%2FIBEXPredictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adrigrillo%2FIBEXPredictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/adrigrillo","download_url":"https://codeload.github.com/adrigrillo/IBEXPredictor/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247280272,"owners_count":20912967,"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":["datagetter","machine-learning","neural-network","predictor","random-forest","stock-market"],"created_at":"2024-10-30T17:10:57.604Z","updated_at":"2025-04-05T03:13:09.311Z","avatar_url":"https://github.com/adrigrillo.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PREDICTOR DEL IBEX-35\nPara instalarlas manualmente podeis usar el siguiente comando:\n\n    pip install -r requirements.txt\n\n## Contenido\nEn este proyecto encontrarás:\n\n- __dataGetter.py:__ Clase para obtener los datos de la bolsa.\n- __classifier.py:__ Clase con los diferentes clasificadores con los que predecir la bolsa. Clasificadores disponibles:\n    - Red de neuronas\n    - Máquina de soporte vectorial \n    - Random Forest\n    - kNN\n- __ploter.py:__ Clase para representar los datos en una gráfica.\n- __predictor.py:__ Clase con un modelo de regresión para predecir la bolsa.\n\n## Funcionamiento\n1. Obtener los datos mediante la clase _datagetter.py_\n2. Configurar el clasificador deseado.\n3. Ejecutar el entrenamiento y test de _clasiffier.py_\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadrigrillo%2Fibexpredictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadrigrillo%2Fibexpredictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadrigrillo%2Fibexpredictor/lists"}