{"id":1533,"date":"2011-09-15T06:35:17","date_gmt":"2011-09-15T06:35:17","guid":{"rendered":"https:\/\/hedgeanswers.com\/?p=1533"},"modified":"2011-09-15T06:35:17","modified_gmt":"2011-09-15T06:35:17","slug":"twitter-a-prediction-tool-for-europes-first-social-media-based-hedge-fund","status":"publish","type":"post","link":"https:\/\/aandcadvisors.com\/ja\/twitter-a-prediction-tool-for-europes-first-social-media-based-hedge-fund\/","title":{"rendered":"Twitter, a prediction tool for Europe\u2019s first social media-based hedge fund"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/www.hedgeanswers.com\/images\/uploads\/\/Derwent_Capital_Markets.png\" alt=\"Twitter, a prediction tool for Europe\u2019s first social media-based hedge fund\" width=\"163\" height=\"148\" \/><\/p>\n<p>Traders have used an awareness of the population\u2019s collective emotions to predict price movements for years.<\/p>\n<p>However, experts found that the instant nature of Twitter meant that those emotions could be gauged more accurately.<\/p>\n<p>Previously, it had been thought that a drop in the markets led to more negative feelings but it proved to be the other way around.<\/p>\n<p>Analysts at Derwent Capital Markets in Mayfair, central London, have launched a \u00a325m fund that makes its investments by evaluating whether people are generally happy, sad, anxious or tired, because they believe it will predict whether the market will move up or down.<\/p>\n<p>The program was originally designed by Johan Bollen, professor of informatics and computing at Indiana University. Telegraph<\/p>\n<p><em><strong>via <a href=\"http:\/\/www.psfk.com\/2011\/09\/twitter-becomes-latest-tool-for-hedge-fund-managers-headlines.html#ixzz1Y1EEGErS\">PSFK<\/a><\/strong><\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>Traders have used an awareness of the population\u2019s collective emotions to predict price movements for years. However, experts found that the instant nature of Twitter meant that those emotions could be gauged more accurately. Previously, it had been thought that a drop in the markets led to more negative feelings but it proved to be the other way around. Analysts at Derwent Capital Markets in Mayfair, central London, have launched a \u00a325m fund that makes its investments by evaluating whether people are generally happy, sad, anxious or tired, because they believe it will predict whether the market will move up or down. The program was originally designed by Johan Bollen, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[27],"tags":[],"class_list":["post-1533","post","type-post","status-publish","format-standard","hentry","category-good-life"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"Traders have used an awareness of the population\u2019s collective emotions to predict price movements for years. However, experts found that the instant nature of Twitter meant that those emotions could be gauged more accurately. 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