{"id":13682312,"url":"https://github.com/DMTSource/daily-stock-forecast","last_synced_at":"2025-04-30T09:31:57.404Z","repository":{"id":26445202,"uuid":"29896150","full_name":"DMTSource/daily-stock-forecast","owner":"DMTSource","description":"Daily Stock Forecasts using Machine Learning \u0026 Python","archived":false,"fork":false,"pushed_at":"2020-03-02T15:59:35.000Z","size":4455,"stargazers_count":352,"open_issues_count":2,"forks_count":173,"subscribers_count":40,"default_branch":"master","last_synced_at":"2024-10-29T23:33:16.424Z","etag":null,"topics":["appengine-python","datastore","forecast","google-charts","machine-learning","pandas","polymer","python","sklearn","stock"],"latest_commit_sha":null,"homepage":"http://daily-stock-forecast.com","language":"HTML","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/DMTSource.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}},"created_at":"2015-01-27T03:47:38.000Z","updated_at":"2024-06-15T18:53:51.000Z","dependencies_parsed_at":"2022-08-07T12:00:32.236Z","dependency_job_id":null,"html_url":"https://github.com/DMTSource/daily-stock-forecast","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/DMTSource%2Fdaily-stock-forecast","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DMTSource%2Fdaily-stock-forecast/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DMTSource%2Fdaily-stock-forecast/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DMTSource%2Fdaily-stock-forecast/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DMTSource","download_url":"https://codeload.github.com/DMTSource/daily-stock-forecast/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224206004,"owners_count":17273376,"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":["appengine-python","datastore","forecast","google-charts","machine-learning","pandas","polymer","python","sklearn","stock"],"created_at":"2024-08-02T13:01:43.940Z","updated_at":"2024-11-12T02:30:22.032Z","avatar_url":"https://github.com/DMTSource.png","language":"HTML","funding_links":[],"categories":["HTML"],"sub_categories":[],"readme":"Daily Stock Forecast\n=======\n\nDaily Stock Forecasts optimizes and ranks machine learning models to predict the intraday movement of the stock market for the top 10 US Equities by Market Cap and a number of popular indicies.\n\n\u003chttp://daily-stock-forecast.com/\u003e\n\nScreenshots of Daily Stock Forecast live and in action:\u003cbr /\u003e\n![](https://github.com/DMTSource/daily-stock-forecast/blob/master/daily-stock-forecast.png)\n\nFeatures\n========\n\nEvery trading day, DSF builds a number of classification models using historical candle+volume data. Each model's hyperparameters are optimized as well as the length of the lookback period per sample. Classification reprots are generated using test data. The f1 score is used to rank models.\n\nFile Structure\n============\nKey files in the application hierarchy.\n* polymer-site\n  * a simple Polymer Starter Kit is used to build a responsive website.\n\n* backend\n    * forecast generation script \u0026 helpers\n\nInstallation\n============\n\nThe frontend runs on a Google App Engine instance. It utilizes\npython, WebApp2, Jinja2 templating, JQuery, Google Charts, and \nsoon Polymer and web components.\n\nThe backend and analysis can run locally if the datastore writing \nis disabled, but the current datastore exchange expects that the \nforecast is performed \"inside the project\" on a Google Compute \nEngine instance with the ability to securely access the Datastore.\n\nDependencies\n------------\n\n* Python 2.7+\n* numpy \n* pandas\n* pandas-datastore==0.5.0\n* pytz\n* scikit-learn\n* Polymer 2+\n\nUsage\n------------\n\npython daily-stock-forecast.py\n\n\nCredits/Contact\n============\n\nDaily Stock Forecast was developed by Derek M Tishler,\u003cbr /\u003e\n\u003chttps://www.linkedin.com/in/derekmtishler/\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDMTSource%2Fdaily-stock-forecast","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FDMTSource%2Fdaily-stock-forecast","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDMTSource%2Fdaily-stock-forecast/lists"}