{"id":67325,"date":"2020-11-25T09:15:33","date_gmt":"2020-11-25T14:15:33","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=67325"},"modified":"2023-01-20T14:56:05","modified_gmt":"2023-01-20T19:56:05","slug":"capitalise-ai-backtesting-analysis-how-historical-performance-data-is-utilized-in-portfolio-analysis","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/capitalise-ai-backtesting-analysis-how-historical-performance-data-is-utilized-in-portfolio-analysis\/","title":{"rendered":"Capitalise AI – Backtesting Analysis: How historical performance data is utilized in portfolio analysis"},"content":{"rendered":"\n
\"Statistics\"<\/figure>\n\n\n\n

Event Title:<\/strong><\/p>\n\n\n\n

Backtesting Analysis: How historical performance data is utilized in portfolio analysis<\/p>\n\n\n\n

Description:<\/strong><\/p>\n\n\n\n

In this webinar, we will discuss how traders can leverage backtesting tools to analyze an investment strategy\u2019s past performance and historical risk. Topics include identifying the limitations of backtesting, understanding those limitations and how to properly apply the results of a backtest to portfolio analysis. <\/p>\n\n\n\n

Date:<\/strong> Wed, Dec 9, 2020 12:00 PM – 1:00 PM EST<\/p>\n\n\n\n

Speaker:<\/strong> Amir Shiovich, Capitalise<\/p>\n\n\n\n

Sponsored by<\/strong>: Capitalise<\/a><\/p>\n\n\n\n

Register here<\/strong><\/a><\/p>\n\n\n\n

Note: If you can\u2019t join us live, register and you will automatically receive a link to the recording shortly after the session ends.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Capitalise AI will demonstrate how to properly apply the results of a backtest to portfolio analysis. <\/p>\n","protected":false},"author":90,"featured_media":51661,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,338,341,352,344],"tags":[851,7257,8515,4922,5110,852,494,5926],"contributors-categories":[13576],"class_list":{"0":"post-67325","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-ibkr-quant-news","9":"category-quant-development","10":"category-quant-north-america","11":"category-quant-regions","12":"tag-algo-trading","13":"tag-algorithmic-trading","14":"tag-back-testing","15":"tag-econometrics","16":"tag-historical-data","17":"tag-machine-learning","18":"tag-quant","19":"tag-quantamental","20":"contributors-categories-interactive-brokers"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"\nCapitalise AI – Backtesting Analysis: How historical performance data is utilized in portfolio analysis<\/title>\n<meta name=\"description\" content=\"Capitalise AI will demonstrate how to properly apply the results of a backtest to portfolio analysis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.interactivebrokers.com\/campus\/wp-json\/wp\/v2\/posts\/67325\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Capitalise AI - 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