{"id":28401,"date":"2025-12-09T16:14:59","date_gmt":"2025-12-09T22:14:59","guid":{"rendered":"https:\/\/librarytestdev.wpenginepowered.com\/doc\/outlier-chart\/"},"modified":"2026-06-18T11:18:08","modified_gmt":"2026-06-18T16:18:08","slug":"outlier-chart","status":"publish","type":"doc","link":"https:\/\/library-staging.tradingtechnologies.com\/tt-trade-surveillance\/cluster-view\/outlier-chart\/","title":{"rendered":"Outlier Chart"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">To allow for easy detection of problematic groups of clusters in big data sets with disparate customer or trader cluster volumes, the Outlier Chart on the New Feed tab displays the percentage of high-risk clusters within a group&#8217;s total clusters.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Manage the content displayed in your New Feed tab through the preferences. Here, you can customize your view by setting criteria such as the minimum cluster score, desired cluster status, specific models, and the relevant date range for the clusters you want to see. All these settings can be adjusted in the <a href=\"https:\/\/library-staging.tradingtechnologies.com\/tt-trade-surveillance\/overview-tt-trade-surveillance\/tt-trade-surveillance-preferences\/\" data-type=\"doc\" data-id=\"7212\">Preferences<\/a> tab to meet your specific needs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Outlier Chart display<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"553\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-61-1024x553.png\" alt=\"\" class=\"wp-image-34865\" srcset=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-61-1024x553.png 1024w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-61-300x162.png 300w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-61-768x415.png 768w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-61.png 1375w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Interpreting the Outlier Chart<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The Outlier Chart displays every entity&#8217;s percentage of clusters with a score above a threshold defined by the user. The default score threshold is set to 75.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"517\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-63-1024x517.png\" alt=\"\" class=\"wp-image-34867\" srcset=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-63-1024x517.png 1024w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-63-300x151.png 300w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-63-768x388.png 768w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-63.png 1314w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The color of the dot indicates the severity of the score, with low scores represented as dark green and becoming yellow and finally dark red as risk scores increase.<\/li>\n\n\n\n<li>The position of a dot in the X-axis indicates the number of clusters contained in the dot.<\/li>\n\n\n\n<li>The position of a dot in the Y-axis indicates the percentage of clusters that exceeded the score.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Outlier Chart navigation and filters<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Navigation and filters are located above the Outlier Chart.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"438\" height=\"115\" src=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-62.png\" alt=\"\" class=\"wp-image-34866\" srcset=\"https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-62.png 438w, https:\/\/library-staging.tradingtechnologies.com\/wp-content\/uploads\/2025\/12\/image-62-300x79.png 300w\" sizes=\"auto, (max-width: 438px) 100vw, 438px\" \/><\/figure>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Select View:<\/strong> Switch between Individual Clusters, Heat Map, and Outlier Chart views.<\/li>\n\n\n\n<li><strong>Group By:<\/strong> Sort the view by trader, account, and instrument.<\/li>\n\n\n\n<li><strong>Outlier threshold:<\/strong> Set the minimum score to consider as high risk.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p class=\"wp-block-paragraph\">To allow for easy detection of problematic groups of clusters in big data sets with disparate customer or trader cluster volumes, the Outlier Chart on the New Feed tab displays the percentage of high-risk clusters within a group&#8217;s total clusters.<\/p>\n<p class=\"wp-block-paragraph\">Manage the content displayed in your New Feed tab through the preferences. Here, you can customize your view by setting criteria such as the minimum cluster score, desired cluster status, specific models, and the relevant date range for the clusters you want to see. All these settings can be adjusted in the <a href=\"https:\/\/library-staging.tradingtechnologies.com\/tt-trade-surveillance\/overview-tt-trade-surveillance\/tt-trade-surveillance-preferences\/\" data-type=\"doc\" data-id=\"7212\">Preferences<\/a> tab to meet your specific needs.<\/p>\n<h2 class=\"wp-block-heading\">Outlier Chart display<\/h2>\n<h2 class=\"wp-block-heading\">Interpreting the Outlier Chart<\/h2>\n<p class=\"wp-block-paragraph\">The Outlier Chart displays every entity&#8217;s percentage of clusters with a score above a threshold defined by the user. The default score threshold is set to 75.<\/p>\n<h3 class=\"wp-block-heading\">Outlier Chart navigation and filters<\/h3>\n<p class=\"wp-block-paragraph\">Navigation and filters are located above the Outlier Chart.<\/p>\n","protected":false},"author":2,"template":"","meta":{"_acf_changed":false,"footnotes":""},"docs-category":[483],"class_list":["post-28401","doc","type-doc","status-publish","hentry","docs-category-cluster-view"],"acf":[],"_links":{"self":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc\/28401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc"}],"about":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/types\/doc"}],"author":[{"embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":0,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc\/28401\/revisions"}],"wp:attachment":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/media?parent=28401"}],"wp:term":[{"taxonomy":"docs-category","embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/docs-category?post=28401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}