{"id":13096,"date":"2023-05-29T09:20:19","date_gmt":"2023-05-29T13:20:19","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13096"},"modified":"2023-05-29T09:20:19","modified_gmt":"2023-05-29T13:20:19","slug":"jpmorgan-chase-uses-a-chatgpt-ai-like-model-to-decipher-trading-signals","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/jpmorgan-chase-uses-a-chatgpt-ai-like-model-to-decipher-trading-signals\/13096\/","title":{"rendered":"JPMorgan Chase Uses a ChatGPT AI-Like Model to Decipher Trading Signals"},"content":{"rendered":"Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at JPMorgan Chase &amp; Co. have used a ChatGPT-based artificial intelligence (AI) model to analyze statements and speeches from the U.S. Federal Reserve in the past 25 years to determine the nature of policy signals. The outlook of the Federal Reserve has been rated on a scale that the financial services company is referring to as Hawk-Dove Score,\u00a0Bloomberg\u00a0reported. Since the launch of <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/jpmorgan-chase-uses-a-chatgpt-ai-like-model-to-decipher-trading-signals\/13096\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at JPMorgan Chase &amp; Co. have used a ChatGPT-based artificial intelligence (AI) model to analyze statements and speeches from [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,1299,1300,368,230,243,8],"class_list":["post-13096","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-ai-models","tag-ai-technology","tag-artificial-intelligence","tag-data-analytics","tag-machine-learning","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13096","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13096"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13096\/revisions"}],"predecessor-version":[{"id":13098,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13096\/revisions\/13098"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13096"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13096"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13096"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}