{"id":49453577,"url":"https://github.com/Vaibhav/Stock-Analysis","last_synced_at":"2026-05-16T16:01:39.864Z","repository":{"id":9680998,"uuid":"62981722","full_name":"Vaibhav/Stock-Analysis","owner":"Vaibhav","description":"Regression, Scrapers, and Visualization","archived":false,"fork":false,"pushed_at":"2023-07-06T21:24:22.000Z","size":11891,"stargazers_count":395,"open_issues_count":2,"forks_count":103,"subscribers_count":30,"default_branch":"main","last_synced_at":"2026-03-01T16:36:52.170Z","etag":null,"topics":["hacktoberfest","hacktoberfest2020","linear-regression","prediction","sentiment-analysis","stock-analysis","stock-prices","stocks","svm","visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Vaibhav.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS","security":null,"support":null,"governance":null}},"created_at":"2016-07-10T04:37:13.000Z","updated_at":"2026-03-01T09:43:35.000Z","dependencies_parsed_at":"2023-01-11T20:13:02.331Z","dependency_job_id":"8bef9350-23a7-41b8-8cfd-ab3d30ba9cff","html_url":"https://github.com/Vaibhav/Stock-Analysis","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/Vaibhav/Stock-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhav%2FStock-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhav%2FStock-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhav%2FStock-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhav%2FStock-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Vaibhav","download_url":"https://codeload.github.com/Vaibhav/Stock-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhav%2FStock-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33109461,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-16T04:41:52.686Z","status":"ssl_error","status_checked_at":"2026-05-16T04:41:52.009Z","response_time":115,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["hacktoberfest","hacktoberfest2020","linear-regression","prediction","sentiment-analysis","stock-analysis","stock-prices","stocks","svm","visualization"],"created_at":"2026-04-30T04:01:03.700Z","updated_at":"2026-05-16T16:01:39.859Z","avatar_url":"https://github.com/Vaibhav.png","language":"Jupyter Notebook","funding_links":[],"categories":["📦 Legacy \u0026 Inactive Projects"],"sub_categories":[],"readme":"# Stock Analysis\n\nThis repository contains python scripts that I am devleoping to perform analysis on stock prices and visualization of stock prices and other data such as volume.\n\nSome of the goals I want to achieve with this project include:\n  - Get the data I need from Yahoo Finance or other API. Able to specify what I need and the time range.\n  - Different regression implementations on the close price data. (Linear, SVM, etc.) Possibly try to fit a polynomial function which follows the data.\n  - Predicting Stock price for the next day.\n\n\n## Trends\n\nTrendLine.py Results\n\n![trendy](readme/figure_1.png)\n\n![trendy](readme/figure_1-1.png)\n\n![trendy](readme/figure_1-3.png)\n\n![trendy](readme/figure_1-4.png)\n\n\n## Regression\n\nUsing my code for linear regression and Nvidia's (NVDA) stock prices of each day. I got a slope of 0.1850399032986727 and a y intercept of 24.54867003005582. The 50.08 number is the price predicted for the next day based on the linear formula it calculated.\n\n```python\n[0.1850399032986727, 24.54867003005582]\n50.0841766853\n```\n\n### Screenshots\n\n\n![Linear Regression performed on NVDA Stock data from January 2016](/Regression/NVDA2016.png)\n\n\n#### New Screenshots\n\n#### AEIS\n![AEIS February 20](readme/AEIS-feb20.png)\n#### FB\n![Facebook February 20](readme/FB-feb20.png)\n\n\n## Version\n\n1.0.0 - Released Stock Scraper\n\n1.0.1 - Minor bug fixes with duplicate entries in the CSV File\n\n\n### Todo\n\n- [ ] Use Machine Learning algorithms to predict stock close price for the next day\n- [ ] Add data visualization with technical indicators such as moving average, volume, STOCH.\n- [ ] Add Stock screener, to screen through every stock and see which ones are best buys.\n\n\n## Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=Vaibhav/Stock-Analysis\u0026type=Date)](https://star-history.com/#Vaibhav/Stock-Analysis\u0026Date)\n\n#### License\n\nMIT\n\n**Free Software, Hell Yeah!**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FVaibhav%2FStock-Analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FVaibhav%2FStock-Analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FVaibhav%2FStock-Analysis/lists"}