{"id":734,"date":"2018-12-12T21:07:13","date_gmt":"2018-12-12T20:07:13","guid":{"rendered":"https:\/\/www.pschatzmann.ch\/home\/?p=734"},"modified":"2020-11-21T22:22:49","modified_gmt":"2020-11-21T21:22:49","slug":"mllib-predicting-the-stock-movement-from-the-news","status":"publish","type":"post","link":"https:\/\/www.pschatzmann.ch\/home\/2018\/12\/12\/mllib-predicting-the-stock-movement-from-the-news\/","title":{"rendered":"MLLib: Predicting Stock Movements from the News"},"content":{"rendered":"<p>In <a href=\"https:\/\/nbviewer.jupyter.org\/gist\/pschatzmann\/f2a41c1abd7db327ca7bb09275662ed6\">this blog<\/a> we will demonstrate how we can predict if a stock is going up or down based on the news headlines. The solution consists of the following components:<\/p>\n<ul>\n<li>Spark <a href=\"https:\/\/spark.apache.org\/mllib\/\">MLLib<\/a> (Machine Learning)<\/li>\n<li>My <a href=\"https:\/\/www.pschatzmann.ch\/home\/2018\/12\/06\/700\/\">News-Digest<\/a> (which I have described in my last blogs)<\/li>\n<li><a href=\"https:\/\/www.pschatzmann.ch\/home\/category\/quantitative-trading\/\">Investor<\/a> (we determine the stock prices to calculate the labels )<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this blog we will demonstrate how we can predict if a stock is going up or down based on the news headlines. The solution consists of the following components: Spark MLLib (Machine Learning) My News-Digest (which I have described in my last blogs) Investor (we determine the stock prices [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":738,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[4,14,15],"tags":[],"class_list":["post-734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","category-machine-learning","category-news-digest"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MLLib: Predicting Stock Movements from the News - Phil Schatzmann<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pschatzmann.ch\/home\/2018\/12\/12\/mllib-predicting-the-stock-movement-from-the-news\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MLLib: Predicting Stock Movements from the News - Phil Schatzmann\" \/>\n<meta property=\"og:description\" content=\"In this blog we will demonstrate how we can predict if a stock is going up or down based on the news headlines. 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