{"id":7221,"date":"2025-12-09T16:19:55","date_gmt":"2025-12-09T22:19:55","guid":{"rendered":"https:\/\/librarytestdev.wpenginepowered.com\/?post_type=doc&p=7221"},"modified":"2026-07-21T14:30:17","modified_gmt":"2026-07-21T19:30:17","slug":"generating-a-summary-statistics-report","status":"publish","type":"doc","link":"https:\/\/library-staging.tradingtechnologies.com\/tt-trade-surveillance\/reports\/generating-a-summary-statistics-report\/","title":{"rendered":"Generating a Summary Statistics Report"},"content":{"rendered":"\n

The summary stats report contains statistics for your entire company, as well as statistical data sorted by surveillance model per trader, account, or instrument.<\/p>\n\n\n\n

To generate a Summary Stats report:<\/p>\n\n\n\n

    \n
  1. On the Trade Surveillance dashboard, select the Reports<\/b> tab and click Generate Report<\/b>.

    \"\"
    The Report Configuration panel is displayed on the right side of the screen.<\/li>\n\n\n\n
  2. Select Summary Stats<\/strong> in the Report<\/strong> Type<\/strong> field in the Report Configuration panel.

    \"\"<\/li>\n\n\n\n
  3. Enter data for the following Inputs<\/b> fields in the panel:\n
      \n
    • Name <\/strong>– Enter a name for your report.<\/li>\n\n\n\n
    • Start Date – End Date<\/b> \u2014 Sets the time period for reporting the statistics.<\/li>\n\n\n\n
    • Group By<\/b> \u2014 Allows you to filter the report by “trader”, “account”, or “instrument”.<\/li>\n\n\n\n
    • Display By<\/b> \u2014 Sorts and displays statistics by surveillance model.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
    • Click Generate Report<\/b>.

      The report is displayed on the screen.<\/p>\"\"

      Each section of the report contains statistics in the following columns:<\/p>\n

        \n
      • Model<\/b> \u2014 Name of the surveillance model. This column is displayed for company level statistics, which can be viewed only by Trade Surveillance administrators.<\/li>\n\n\n\n
      • Trader\/Account\/Instrument<\/b> \u2014 The name of the trader\/account\/instrument. This column is displayed per surveillance model based on your “Group By” data selection. <\/li>\n\n\n\n
      • % High Scoring<\/b> \u2014 The percentage of clusters with a score of 75 – 100. <\/li>\n\n\n\n
      • Change % High Scoring<\/b> \u2014 Shows the percentage change in high scores since the last time period (Start Date – End Date) the report was generated. Periods must be of the same duration in order to calculate this change.<\/li>\n\n\n\n
      • Clusters (0-100)<\/b> \u2014 Total number of clusters scored by the model.<\/li>\n\n\n\n
      • Clusters (1-100)<\/b> \u2014 Total number of clusters receiving a score. <\/li>\n\n\n\n
      • Clusters (75-100)<\/b> \u2014 Total number of clusters receiving a high score. <\/li>\n\n\n\n
      • Max Score<\/b> \u2014 The highest cluster score. <\/li>\n\n\n\n
      • Mean Score (0-100)<\/b> \u2014 The mean of all clusters scored by the model. <\/li>\n\n\n\n
      • Mean Score (1-100)<\/b> \u2014 The mean of all clusters with a score greater than “0”. <\/li>\n\n\n\n
      • Mean Score (75-100)<\/b> \u2014 The mean of all clusters with a high score. <\/li>\n\n\n\n
      • Min Score (0-100)<\/b> \u2014 The lowest score of the clusters. <\/li>\n\n\n\n
      • Min Score (1-100)<\/b> \u2014 The lowest score of the clusters with a score greater than “0”. <\/li>\n\n\n\n
      • Min Score (75-100)<\/b> \u2014 The lowest score of the clusters that received high scores.<\/li>\n\n\n\n
      • Prev Period % High Scoring<\/b> \u2014 The percentage change of clusters with a score of 75 – 100 from the previous period. <\/li>\n\n\n\n
      • Prev Period Clusters (0-100)<\/b> \u2014 The total number of clusters scored by the model in the previous period.<\/li>\n\n\n\n
      • Prev Period Clusters (1-100)<\/b> \u2014 Total number of clusters receiving a score in the previous period.<\/li>\n\n\n\n
      • Prev Period Clusters (75-100)<\/b> \u2014 Total number of clusters receiving a high score in the previous period.<\/li>\n\n\n\n
      • Prev Period Max Score<\/b> \u2014 The highest cluster score in the previous period.<\/li>\n\n\n\n
      • Prev Period Mean Score (0-100)<\/b> \u2014 The mean of all clusters scored by the model in the previous period.<\/li>\n\n\n\n
      • Prev Period Mean Score (1-100)<\/b> \u2014 The mean of all clusters with a score greater than “0” in the previous period.<\/li>\n\n\n\n
      • Prev Period Mean Score (75-100)<\/b> \u2014 The mean of all clusters with a high score in the previous period.<\/li>\n\n\n\n
      • Prev Period Min Score (0-100)<\/b> \u2014 The lowest score of the clusters in the previous period.<\/li>\n\n\n\n
      • Prev Period Min Score (1-100)<\/b> \u2014 The lowest score of the clusters with a score greater than “0” in the previous period.<\/li>\n\n\n\n
      • Prev Period Min Score (75-100)<\/b> \u2014 The lowest score of the clusters that received high scores in the previous period.<\/li>\n<\/ul>\n\n\n\n
          \n
        • Model<\/b> \u2014 Name of the surveillance model. This column is displayed for company level statistics, which can be viewed only by Trade Surveillance administrators.<\/li>\n\n\n\n
        • Trader\/Account\/Instrument<\/b> \u2014 The name of the trader\/account\/instrument. This column is displayed per surveillance model based on your “Group By” data selection.\t<\/li>\n\n\n\n
        • % High Scoring<\/b> \u2014 The percentage of clusters with a score of 75 – 100.\t<\/li>\n\n\n\n
        • Change % High Scoring<\/b> \u2014 Shows the percentage change in high scores since the last time period (Start Date – End Date) the report was generated. Periods must be of the same duration in order to calculate this change.<\/li>\n\n\n\n
        • Clusters (0-100)<\/b> \u2014 Total number of clusters scored by the model.<\/li>\n\n\n\n
        • Clusters (1-100)<\/b> \u2014 Total number of clusters receiving a score.\t<\/li>\n\n\n\n
        • Clusters (75-100)<\/b> \u2014 Total number of clusters receiving a high score.\t<\/li>\n\n\n\n
        • Max Score<\/b> \u2014 The highest cluster score.\t<\/li>\n\n\n\n
        • Mean Score (0-100)<\/b> \u2014 The mean of all clusters scored by the model.\t<\/li>\n\n\n\n
        • Mean Score (1-100)<\/b> \u2014 The mean of all clusters with a score greater than “0”.\t\t<\/li>\n\n\n\n
        • Mean Score (75-100)<\/b> \u2014 The mean of all clusters with a high score.\t<\/li>\n\n\n\n
        • Min Score (0-100)<\/b> \u2014 The lowest score of the clusters.\t\t<\/li>\n\n\n\n
        • Min Score (1-100)<\/b> \u2014 The lowest score of the clusters with a score greater than “0”.\t\t<\/li>\n\n\n\n
        • Min Score (75-100)<\/b> \u2014 The lowest score of the clusters that received high scores.<\/li>\n\n\n\n
        • Prev Period % High Scoring<\/b> \u2014 The percentage change of clusters with a score of 75 – 100 from the previous period.\t<\/li>\n\n\n\n
        • Prev Period Clusters (0-100)<\/b> \u2014 The total number of clusters scored by the model in the previous period.<\/li>\n\n\n\n
        • Prev Period Clusters (1-100)<\/b> \u2014 Total number of clusters receiving a score in the previous period.<\/li>\n\n\n\n
        • Prev Period Clusters (75-100)<\/b> \u2014 Total number of clusters receiving a high score in the previous period.<\/li>\n\n\n\n
        • Prev Period Max Score<\/b> \u2014 The highest cluster score in the previous period.<\/li>\n\n\n\n
        • Prev Period Mean Score (0-100)<\/b> \u2014 The mean of all clusters scored by the model in the previous period.<\/li>\n\n\n\n
        • Prev Period Mean Score (1-100)<\/b> \u2014 The mean of all clusters with a score greater than “0” in the previous period.<\/li>\n\n\n\n
        • Prev Period Mean Score (75-100)<\/b> \u2014 The mean of all clusters with a high score in the previous period.<\/li>\n\n\n\n
        • Prev Period Min Score (0-100)<\/b> \u2014 The lowest score of the clusters in the previous period.<\/li>\n\n\n\n
        • Prev Period Min Score (1-100)<\/b> \u2014 The lowest score of the clusters with a score greater than “0” in the previous period.<\/li>\n\n\n\n
        • Prev Period Min Score (75-100)<\/b> \u2014 The lowest score of the clusters that received high scores in the previous period.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

          The summary stats report contains statistics for your entire company, as well as statistical data sorted by surveillance model per trader, account, or instrument.<\/p>\n

          To generate a Summary Stats report:<\/p>\n","protected":false},"author":2,"menu_order":669,"template":"","meta":{"_acf_changed":false,"footnotes":""},"docs-category":[496],"class_list":["post-7221","doc","type-doc","status-publish","hentry","docs-category-reports"],"acf":[],"permalink_manager":null,"_links":{"self":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/doc\/7221","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\/7221\/revisions"}],"wp:attachment":[{"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/media?parent=7221"}],"wp:term":[{"taxonomy":"docs-category","embeddable":true,"href":"https:\/\/library-staging.tradingtechnologies.com\/ja\/wp-json\/wp\/v2\/docs-category?post=7221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}