{"id":1760461,"date":"2013-10-12T20:01:59","date_gmt":"2013-10-12T14:31:59","guid":{"rendered":"http:\/\/stockviz.biz\/index.php\/?p=1760461"},"modified":"2013-10-12T20:01:59","modified_gmt":"2013-10-12T14:31:59","slug":"machine-learning-stocks-part-ii","status":"publish","type":"post","link":"https:\/\/stockviz.biz\/index.php\/2013\/10\/12\/machine-learning-stocks-part-ii\/","title":{"rendered":"Machine Learning Stocks, Part II"},"content":{"rendered":"<p>We had previously rolled out the &#8220;<a title=\"Machine Learning Stocks\" href=\"http:\/\/stockviz.biz\/index.php\/2013\/10\/04\/machine-learning-stocks\/\" target=\"_blank\">similar stocks<\/a>&#8221; feature that grouped stocks based on risk and technical parameters. The idea of grouping\/clustering stocks is that it allows you to find better alternatives to your favorite stocks. We combined machine learning with our <a title=\"Fundamental Quantitative Balance Sheet Scores\" href=\"http:\/\/stockviz.biz\/index.php\/2013\/10\/11\/fundamental-quantitative-scores-for-stocks\/\" target=\"_blank\">Fundamental Quantitative Scores<\/a> to cluster stocks based on fundamental metrics.<\/p>\n<p>For example, here&#8217;s what Glenmark&#8217;s looks like:<\/p>\n<p><a href=\"http:\/\/stockviz.biz\/Equity?TICKER=GLENMARK\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1760501\" alt=\"Glenmark\" src=\"http:\/\/portalvhds29z8xdrqhczq.blob.core.windows.net\/wordpress\/2013\/10\/glenmark.png\" width=\"961\" height=\"701\" srcset=\"https:\/\/portalvhds29z8xdrqhczq.blob.core.windows.net\/wordpress\/2013\/10\/glenmark.png 961w, https:\/\/portalvhds29z8xdrqhczq.blob.core.windows.net\/wordpress\/2013\/10\/glenmark-300x218.png 300w, https:\/\/portalvhds29z8xdrqhczq.blob.core.windows.net\/wordpress\/2013\/10\/glenmark-411x300.png 411w\" sizes=\"auto, (max-width: 961px) 100vw, 961px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<h6>Related:<\/h6>\n<p><a title=\"machine learning stocks\" href=\"http:\/\/stockviz.biz\/index.php\/2013\/10\/04\/machine-learning-stocks\/\" target=\"_blank\">Machine Learning Stocks<\/a><br \/>\n<a title=\"Quantitative Value\" href=\"http:\/\/stockviz.biz\/tag\/quantitative-value\/\" target=\"_blank\">Quantitative Value Series<\/a><br \/>\n<a title=\"trading\/demat account\" href=\"http:\/\/stockviz.biz\/index.php\/the-stockviz-demat-account\/\" target=\"_blank\">StockViz Trading\/demat Account<\/a><br \/>\n<a title=\"Fundamental scores based on balancesheets\" href=\"http:\/\/stockviz.biz\/index.php\/2013\/10\/11\/fundamental-quantitative-scores-for-stocks\/\" target=\"_blank\">Fundamental Quantitative Scores for Stocks<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We had previously rolled out the &#8220;similar stocks&#8221; feature that grouped stocks based on risk and technical parameters. The idea of grouping\/clustering stocks is that it allows you to find better alternatives to your favorite stocks. We combined machine learning with our Fundamental Quantitative Scores to cluster stocks based on fundamental metrics. For example, here&#8217;s &hellip; <\/p>\n","protected":false},"author":2,"featured_media":1760601,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,9],"tags":[2761],"class_list":["post-1760461","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-your-money","tag-quant","entry"],"_links":{"self":[{"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/posts\/1760461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/comments?post=1760461"}],"version-history":[{"count":0,"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/posts\/1760461\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/media\/1760601"}],"wp:attachment":[{"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/media?parent=1760461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/categories?post=1760461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stockviz.biz\/index.php\/wp-json\/wp\/v2\/tags?post=1760461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}