{"id":889,"date":"2015-04-13T14:11:58","date_gmt":"2015-04-13T18:11:58","guid":{"rendered":"http:\/\/courses.digitaldavidson.net\/dig210\/?p=889"},"modified":"2015-04-13T14:12:30","modified_gmt":"2015-04-13T18:12:30","slug":"how-computers-trawl-a-sea-of-data-for-stock-picks","status":"publish","type":"post","link":"https:\/\/courses.digitaldavidson.net\/dig210\/2015\/04\/13\/how-computers-trawl-a-sea-of-data-for-stock-picks\/","title":{"rendered":"How Computers Trawl a Sea of Data for Stock Picks"},"content":{"rendered":"<p><a href=\"http:\/\/courses.digitaldavidson.net\/dig210\/files\/2015\/04\/P1-BT269_PREDIC_9U_20150401173316.jpg\" rel=\"lightbox[889]\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-890\" src=\"http:\/\/courses.digitaldavidson.net\/dig210\/files\/2015\/04\/P1-BT269_PREDIC_9U_20150401173316.jpg\" alt=\"P1-BT269_PREDIC_9U_20150401173316\" width=\"700\" height=\"888\" srcset=\"https:\/\/courses.digitaldavidson.net\/dig210\/files\/2015\/04\/P1-BT269_PREDIC_9U_20150401173316.jpg 700w, https:\/\/courses.digitaldavidson.net\/dig210\/files\/2015\/04\/P1-BT269_PREDIC_9U_20150401173316-236x300.jpg 236w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><\/a><\/p>\n<p><a href=\"http:\/\/www.wsj.com\/articles\/how-computers-trawl-a-sea-of-data-for-stock-picks-1427941801?mod=LS1&amp;mod=djemCIO_h\">An example from the Wall Street Journal<\/a> of more data improving efficiency &#8211; in this case, allowing firms to more efficiently allocate resources in our economy to bring about the best growth. By leveraging increasingly large and diverse datasets, they can get a more accurate picture of the world&#8217;s needs and various risks. The equality of who gets the gains from these efficiencies can be a matter of debate, but more\u00a0data are unequivocally more efficient than less data.<\/p>\n<blockquote><p>Two Sigma\u2019s funds all take a big-data approach. Among its data sources are news bulletins, National Weather Service reports, market data, tweets and information from smartphone users who have agreed to be tracked by a retail-trend-analysis company.<\/p>\n<div class=\"media-object   offset\">\n<p>Thirty years ago, it was easier to make investment picks because the world wasn\u2019t as interconnected, Mr. Siegel says. \u201cHere\u2019s the problem: What affects the price of a share of Apple stock? The answer: Pretty much everything. Absolutely every little thing has some effect. Every sale, every earthquake.\u201d<\/p>\n<p>To comb through data 24 hours a day, the firm has more than 100 teraflops of power\u2014more than 100 trillion calculations a second\u2014and more than 11 petabytes of storage, the equivalent of five times the data stored in all U.S. academic libraries.<\/p>\n<\/div>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>An example from the Wall Street Journal of more data improving efficiency &#8211; in this case, allowing firms to more efficiently allocate resources in our economy to bring about the best growth. By leveraging increasingly large and diverse datasets, they can get a more accurate picture of the world&#8217;s needs and various risks. The equality &hellip; <a href=\"https:\/\/courses.digitaldavidson.net\/dig210\/2015\/04\/13\/how-computers-trawl-a-sea-of-data-for-stock-picks\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">How Computers Trawl a Sea of Data for Stock Picks<\/span><\/a><\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"aside","meta":{"footnotes":""},"categories":[28],"tags":[],"class_list":["post-889","post","type-post","status-publish","format-aside","hentry","category-miscellaneous","post_format-post-format-aside"],"_links":{"self":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts\/889","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/comments?post=889"}],"version-history":[{"count":2,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts\/889\/revisions"}],"predecessor-version":[{"id":892,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/posts\/889\/revisions\/892"}],"wp:attachment":[{"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/media?parent=889"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/categories?post=889"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/courses.digitaldavidson.net\/dig210\/wp-json\/wp\/v2\/tags?post=889"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}