{"id":33108230,"url":"https://github.com/frankcash/Scala-Quant","last_synced_at":"2025-11-15T16:00:47.574Z","repository":{"id":75692696,"uuid":"88110465","full_name":"frankcash/Scala-Quant","owner":"frankcash","description":"Manipulates Stock / ETF Data","archived":false,"fork":false,"pushed_at":"2017-05-06T15:27:01.000Z","size":46,"stargazers_count":10,"open_issues_count":1,"forks_count":3,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-05-15T22:40:23.526Z","etag":null,"topics":["etf","fintech","ifttt","quant","scala","stock-data"],"latest_commit_sha":null,"homepage":"","language":"Scala","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/frankcash.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2017-04-13T01:07:52.000Z","updated_at":"2023-01-24T17:05:08.000Z","dependencies_parsed_at":"2023-06-07T09:34:28.270Z","dependency_job_id":null,"html_url":"https://github.com/frankcash/Scala-Quant","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/frankcash/Scala-Quant","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/frankcash%2FScala-Quant","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/frankcash%2FScala-Quant/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/frankcash%2FScala-Quant/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/frankcash%2FScala-Quant/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/frankcash","download_url":"https://codeload.github.com/frankcash/Scala-Quant/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/frankcash%2FScala-Quant/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":284580580,"owners_count":27029575,"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":"2025-11-15T02:00:06.050Z","response_time":57,"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":["etf","fintech","ifttt","quant","scala","stock-data"],"created_at":"2025-11-15T00:00:37.299Z","updated_at":"2025-11-15T16:00:47.566Z","avatar_url":"https://github.com/frankcash.png","language":"Scala","funding_links":[],"categories":["Scala"],"sub_categories":["Data Visualization"],"readme":"# Scala Quant\n\nThis is a project to explore market data.\n\nThis project is designed to work with a specific IFTTT plugin: [Keep track of a particular stock's daily closing price in a spreadsheet](https://ifttt.com/applets/117304p-keep-track-of-a-particular-stock-s-daily-closing-price-in-a-spreadsheet)\n\nThis project is also designed to work with a CSV of historical data downloaded from Google Finance.\n\n## Utilizing\n\nDownload the `CSV` file for your desired Stock/ETF.\n\n\n## Functions\n\n`avgResistance(data:List[List[Double]]): Double`\n\nCalculates the [average resistance](http://www.investopedia.com/articles/technical/061801.asp) based local maxes from split lists.  Takes maximum values from the split lists and then generates an average using the amount of split lists.\n\n`avgSupport(data:List[List[Double]]): Double`\n\nCalculates the [average support](http://www.investopedia.com/articles/technical/061801.asp) based local maxes from split lists.  Takes minimum values from the split lists and then generates an average using the amount of split lists.\n\n`movingAvg(movingAvgSize:Double, data:List[Double] ): Double`\n\nCalculates [moving average](http://www.investopedia.com/terms/m/movingaverage.asp).  The amount of days is pre-defined to 10.\n\n`fibRetracementValues(high:Double, low:Double): List[Double]`\n\nCalculates [Fibonacci Retracement](http://www.investopedia.com/ask/answers/05/fibonacciretracement.asp) values for the given high and low.  Predefined ratios for the retracement values are: 23.6%, 38.2%, 50.0%, 0.618%, 100%.\n\n## Configuration\n\nIt is also able to configure how many days should be grouped into the lists for calculating the average resistance and support.  Edit `final val step = 5`.\n\nThe moving average size can be changed. Edit `  final val movingAvgSize = 10`\n\n### License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrankcash%2FScala-Quant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffrankcash%2FScala-Quant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffrankcash%2FScala-Quant/lists"}