{"id":38232931,"url":"https://github.com/acmutd/htf-research","last_synced_at":"2026-01-17T01:02:28.378Z","repository":{"id":56675974,"uuid":"304198765","full_name":"acmutd/htf-research","owner":"acmutd","description":"Comets of Wall Street: Learn how to shine on the stock market by visualizing a stock’s data and metrics in this Python data analysis workshop!","archived":false,"fork":false,"pushed_at":"2020-10-26T00:33:05.000Z","size":19060,"stargazers_count":1,"open_issues_count":1,"forks_count":36,"subscribers_count":3,"default_branch":"main","last_synced_at":"2023-03-11T10:41:48.420Z","etag":null,"topics":["hacktoberfest"],"latest_commit_sha":null,"homepage":"","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/acmutd.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":"2020-10-15T03:23:17.000Z","updated_at":"2021-08-26T05:05:13.000Z","dependencies_parsed_at":"2022-08-15T23:10:10.142Z","dependency_job_id":null,"html_url":"https://github.com/acmutd/htf-research","commit_stats":null,"previous_names":[],"tags_count":null,"template":null,"template_full_name":null,"purl":"pkg:github/acmutd/htf-research","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/acmutd%2Fhtf-research","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/acmutd%2Fhtf-research/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/acmutd%2Fhtf-research/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/acmutd%2Fhtf-research/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/acmutd","download_url":"https://codeload.github.com/acmutd/htf-research/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/acmutd%2Fhtf-research/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28490921,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-17T00:50:05.742Z","status":"ssl_error","status_checked_at":"2026-01-17T00:43:11.982Z","response_time":107,"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"],"created_at":"2026-01-17T01:02:28.065Z","updated_at":"2026-01-17T01:02:28.252Z","avatar_url":"https://github.com/acmutd.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Comets of Wall Street: Data Analysis Workshop\n\n_Part of ACM Hacktoberfest 2020_\n\n## Overview\n\n[ACM Hacktoberfest](https://hacktoberfest.acmutd.co) is a one-day event celebrating open source with workshops\nand speakers about modern software practices.\n\n### What You'll Learn\n\nIn this workshop, participants will be able to pull in data from Yahoo Finance for a stock that's assigned to them, view and analyze that data using Python, and determine if a stock is overvalued based on various metrics. You'll then create an infographic showing the the stock's trends and your determination of whether the stock's overvalued or not.\n\n### Technologies\n\n- Python\n- Google Colaboratory\n- Python libraries:\n  - matplotlib\n  - pandas\n  - numpy\n\n## Deployment\n\nAfter your pull request is approved, you'll be able to see the finished product at `acmutd.co/research/infographics/{your stock ticker}`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facmutd%2Fhtf-research","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facmutd%2Fhtf-research","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facmutd%2Fhtf-research/lists"}