{"id":14958315,"url":"https://github.com/austintackaberry/stocks","last_synced_at":"2025-09-08T23:38:24.029Z","repository":{"id":40985691,"uuid":"108959195","full_name":"austintackaberry/stocks","owner":"austintackaberry","description":"machine learning web app game where the user competes against the AI in picking stocks","archived":false,"fork":false,"pushed_at":"2022-12-08T13:27:10.000Z","size":75923,"stargazers_count":133,"open_issues_count":42,"forks_count":26,"subscribers_count":13,"default_branch":"master","last_synced_at":"2025-04-07T01:41:26.174Z","etag":null,"topics":["d3","flask","javascript","pandas","python","react","sklearn"],"latest_commit_sha":null,"homepage":"http://www.StockIT.tech","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/austintackaberry.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-10-31T07:17:56.000Z","updated_at":"2024-12-13T23:34:26.000Z","dependencies_parsed_at":"2023-01-25T13:16:28.859Z","dependency_job_id":null,"html_url":"https://github.com/austintackaberry/stocks","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/austintackaberry/stocks","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/austintackaberry%2Fstocks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/austintackaberry%2Fstocks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/austintackaberry%2Fstocks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/austintackaberry%2Fstocks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/austintackaberry","download_url":"https://codeload.github.com/austintackaberry/stocks/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/austintackaberry%2Fstocks/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274231165,"owners_count":25245675,"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","status":"online","status_checked_at":"2025-09-08T02:00:09.813Z","response_time":121,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["d3","flask","javascript","pandas","python","react","sklearn"],"created_at":"2024-09-24T13:16:43.753Z","updated_at":"2025-09-08T23:38:23.983Z","avatar_url":"https://github.com/austintackaberry.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# StockIT\n\nStockIT is a machine learning web app game that allows the user to compete agiainst the AI in buying/selling stocks. Random stocks are chosen and a random date in the past is chosen. The stock price starts trending from that date and continues for 365 days. While the stock price trends, the user competes against the AI in buying/selling stocks.\n\nPandas and Scikit Learn was used to develop a linear regression model to predict stock price. D3 and React were used to plot the data and update the leaderboard. Optimized for desktop and mobile.\n\n## Getting Started\n\nIn order to run a dev server on your local host, you will need to first install all the required npm packages for the frontend.\n\n`cd client`\n\n`npm install`\n\nNow that you have installed all the required frontend packages, you can start the frontend server on port 3000:\n\n`npm start`\n\nNext you will need to install the required python packages:\n\n`cd ..`\n\nInstall the virtual environment directory:\n\n`python3 -m venv venv`\n\nActivate the virtual environment\n\n`. venv/bin/activate`\n\nInstall the requirements\n\n`pip install -r requirements.txt`\n\nNow you can open up an additional terminal and start up a server for the backend on port 5000:\n\n`export FLASK_APP=app.py`\n\n`export FLASK_ENV=development`\n\n`flask run`\n\nNow you are all set up!\n\n## Built With\n\n* React\n* D3\n* Python\n* Flask\n* Pandas\n* Scikit Learn\n\n## Authors\n\nAustin Tackaberry\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE.md file for details\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faustintackaberry%2Fstocks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faustintackaberry%2Fstocks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faustintackaberry%2Fstocks/lists"}