{"id":156,"date":"2023-09-22T23:40:04","date_gmt":"2023-09-23T05:40:04","guid":{"rendered":"https:\/\/intelligenxe.com\/?page_id=156"},"modified":"2025-09-05T20:36:51","modified_gmt":"2025-09-06T02:36:51","slug":"asset-management-ai","status":"publish","type":"page","link":"https:\/\/intelligenxe.com\/?page_id=156","title":{"rendered":"Asset Management AI"},"content":{"rendered":"\n<p>The following AI (Artificial Intelligence) features are useful for asset management companies and thus for the OPTIMAL FUND development:<\/p>\n\n\n\n<p id=\"1\">AM1<\/p>\n\n\n\n<figure class=\"wp-block-flexible-table-block-table alignwide is-content-justification-center is-style-default has-small-font-size\"><table class=\"\" style=\"width:75%;border-collapse:collapse;border-color:#000f83;border-style:solid\"><tbody><tr><td><strong>AI Freature: <\/strong>AI agents partially\/completely managing hedge funds and other types of investment companies &#8211; LangChain<\/td><\/tr><tr><td style=\"background-color:#eefefe;text-align:left;vertical-align:top\"><strong>Feature Description: <\/strong><br>&#8211; LangChain may be used to build a chain of agents interacting in the market environment.<br>&#8211; The various agents may be assigned different tasks (fundamental analysis, quantitative trading, technical analysis, etc.) and collaborate to manage and run the hedge fund.<br>&#8211; Agents interact with each other, reason, agree\/disagree, execute promising trades, etc.<\/td><\/tr><tr><td style=\"background-color:#fff\"><strong>Relevant Video(s) \/ Code(s) :<\/strong><br><a href=\"https:\/\/www.youtube.com\/watch?v=vnzt4lwzbXU\">I Built a Hedge Fund Run by AI Agents<\/a> \/ <a href=\"https:\/\/github.com\/101dotxyz\/GPTeam\">code<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p id=\"2\">AM2<\/p>\n\n\n\n<figure class=\"wp-block-flexible-table-block-table alignwide is-content-justification-center is-style-default has-small-font-size\"><table class=\"\" style=\"width:75%;border-collapse:collapse;border-color:#000f83;border-style:solid\"><tbody><tr><td><strong>AI Freature: <\/strong>AI agents being able to perform virtually any human task on Wall Street firms, and more efficiently &#8211; crewAI, AutoGen<\/td><\/tr><tr><td style=\"background-color:#eefefe;text-align:left;vertical-align:top\"><strong>Feature Description: <\/strong><br>&#8211; AI agents may be customized with specific roles, goals, and tools to perform virtually any Wall Street task.<br>&#8211; AI agents may autonomously delegate tasks and inquire amongst themselves, enhancing problem-solving efficiency.<br>&#8211; Tasks may be defined with customizable tools (summarizers, web and video scrapers, etc. tools) and assigned to agents dynamically.<br>&#8211; Sequential task execution and hierarchical processes and even more complex processes like consensual and autonomous may be supported.<\/td><\/tr><tr><td style=\"background-color:#fff\"><strong>Relevant Video(s) \/ Code(s) :<\/strong><br> <a href=\"https:\/\/www.youtube.com\/watch?v=8R7QOJgGyIQ&amp;list=PLp9pLaqAQbY0_BCgUQlP8TiFvRqCbmvol\">Let&#8217;s Build: Automate ANYTHING With AI Agent Teams (Step-by-Step)<\/a> \/ <a href=\"https:\/\/github.com\/mberman84\/crewai_yt\">code<\/a><br><a href=\"https:\/\/www.youtube.com\/watch?v=vU2S6dVf79M\">AutoGen Tutorial \ud83d\ude80 Create Custom AI Agents EASILY (Incredible)<\/a> \/ <a href=\"https:\/\/github.com\/microsoft\/autogen\">code<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p id=\"3\">AM3<\/p>\n\n\n\n<figure class=\"wp-block-flexible-table-block-table alignwide is-content-justification-center is-style-default has-small-font-size\"><table class=\"\" style=\"width:75%;border-collapse:collapse;border-color:#000f83;border-style:solid\"><tbody><tr><td><strong>AI Freature: <\/strong>Using RAG systems to analyze private sets of documents with ChapGPT like functionality &#8211; RAG<\/td><\/tr><tr><td style=\"background-color:#eefefe;text-align:left;vertical-align:top\"><strong>Feature Description: <\/strong><br>&#8211; Asset management companies may feed any type of private or\/and confidential documents to their own RAG systems in order to have ChapGPT like question-answer\/summarization\/chat functionalities with respect to the content of the documents, which may include PDFs, blogs, websites, video, etc.<br>&#8211; RAG systems may be used to analyze confidential due diligence documents, and any other sets of documents\/information with which they have been customized.<\/td><\/tr><tr><td style=\"background-color:#fff\"><strong>Relevant Video(s) \/ Code(s) :<\/strong><br><a href=\"https:\/\/www.youtube.com\/watch?v=wd7TZ4w1mSw\">RAG From Scratch: Part 1 (Overview)<\/a> \/ <a href=\"https:\/\/github.com\/langchain-ai\/rag-from-scratch\">code<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p id=\"4\">AM4<\/p>\n\n\n\n<figure class=\"wp-block-flexible-table-block-table alignwide is-content-justification-center is-style-default has-small-font-size\"><table class=\"\" style=\"width:75%;border-collapse:collapse;border-color:#000f83;border-style:solid\"><tbody><tr><td><strong>AI Freature: <\/strong>Using the text-to-video model for communicating and marketing &#8211; OpenAI Sora<\/td><\/tr><tr><td style=\"background-color:#eefefe;text-align:left;vertical-align:top\"><strong>Feature Description: <\/strong><br>&#8211; The text-to-video model may be used to generate videos that effectively communicate the value of an investment, such as a stock, bond, ETF, etc.<br>&#8211; Also, for marketing and thus for attracting clients to the asset management company.<\/td><\/tr><tr><td style=\"background-color:#fff\"><strong>Relevant Video(s) \/ Code(s) :<\/strong><br><a href=\"https:\/\/www.youtube.com\/watch?v=EQD78wlLvuI\">OpenAI Sora: All Videos with Prompts | 4K<\/a><br><a href=\"https:\/\/www.youtube.com\/watch?v=GtjOd-FrpXI\">OpenAI&#8217;s SORA &#8211; 11 More Unbelievable Examples!<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>The following AI (Artificial Intelligence) features are useful for asset management companies and thus for the OPTIMAL FUND development: AM1 AM2 AM3 AM4<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"kt_blocks_editor_width":"","footnotes":""},"class_list":["post-156","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/intelligenxe.com\/index.php?rest_route=\/wp\/v2\/pages\/156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/intelligenxe.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/intelligenxe.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/intelligenxe.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/intelligenxe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=156"}],"version-history":[{"count":16,"href":"https:\/\/intelligenxe.com\/index.php?rest_route=\/wp\/v2\/pages\/156\/revisions"}],"predecessor-version":[{"id":892,"href":"https:\/\/intelligenxe.com\/index.php?rest_route=\/wp\/v2\/pages\/156\/revisions\/892"}],"wp:attachment":[{"href":"https:\/\/intelligenxe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}