{"id":238848,"date":"2026-02-09T12:28:06","date_gmt":"2026-02-09T17:28:06","guid":{"rendered":"https:\/\/ibkrcampus.com\/campus\/?p=238848"},"modified":"2026-02-10T04:51:45","modified_gmt":"2026-02-10T09:51:45","slug":"when-technical-indicators-are-a-red-flag-and-when-theyre-necessary","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/when-technical-indicators-are-a-red-flag-and-when-theyre-necessary\/","title":{"rendered":"When Technical Indicators Are A Red Flag &#8211; And When They&#8217;re Necessary"},"content":{"rendered":"\n<p><em>The article &#8220;When Technical Indicators Are A Red Flag &#8211; And When They&#8217;re Necessary&#8221; was originally posted on <a href=\"https:\/\/databento.com\/blog\/technical-indicators\">Databento<\/a> blog.<\/em><\/p>\n\n\n\n<p>In this article, we dig into when technical indicators are a red flag, and when they&#8217;re necessary. To identify the red flags, we use what we call the technical indicator smell test: when your market data API has extensive support for technical indicators and derived features.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-when-technical-indicators-are-a-red-flag\">When technical indicators are a red flag<\/h3>\n\n\n\n<p>Most technical indicators have an insignificant correlation with future returns, which makes them impractical for developing profitable trading strategies.<\/p>\n\n\n\n<p>It&#8217;s usually better to compute returns on the client side. This may be controversial, but we&#8217;re quite opinionated about it at Databento. Even some popular values like Greeks and VWAPs are often better computed on the client side; Greek calculation is subjective to model and inputs, and top trading firms rarely use third-party Greeks.<\/p>\n\n\n\n<p>Good APIs usually have a small API surface with few orthogonal API methods. While technical indicators may serve a specific audience, their purpose is so far downstream that it&#8217;s bloated for most users who don&#8217;t need them. Here are a few examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Poor model fit<\/strong>: Most technical indicators have functional forms that result in poor model fit, e.g., truncation, censorship, non-linearity, discretization, and dependence on subsampled time-space.<\/li>\n\n\n\n<li><strong>Expensive to compute online<\/strong>: Many technical indicators have functional forms that are expensive to compute online, e.g., require a sliding window of memory or cost linear time in the lookback period to compute.<\/li>\n\n\n\n<li><strong>Many venues have derived data policies<\/strong>: Sometimes, these indicators are published without compliance with the venue&#8217;s data policies.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-when-technical-indicators-are-necessary\">When technical indicators are necessary<\/h3>\n\n\n\n<p>Although we&#8217;ve pointed out many reasons not to support technical indicators, there are limited situations in which we do recommend them:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>I\/O is always a limiting factor when providing a data-intensive API, so it&#8217;s often better to push computation closer to the source, up the I\/O or memory hierarchy, from client to server, etc. The same principle underpins Apache Spark and edge computing. If the API is used by a web application that serves many users, it could be cheaper to compute these on the server side.<\/li>\n\n\n\n<li>It&#8217;s easy to communicate as a starter example in your documentation; many of these technical indicators are widely known and have simple, functional forms.<\/li>\n<\/ul>\n\n\n\n<p>You can&nbsp;<a href=\"https:\/\/docs.databento.com\/\">view our docs page<\/a>&nbsp;for examples of calculating common technical indicators on Databento, like&nbsp;<a href=\"https:\/\/docs.databento.com\/examples\/basics-historical\/technical-indicators\">VWAP and RSI&nbsp;<\/a>or&nbsp;<a href=\"https:\/\/docs.databento.com\/examples\/basics-live\/live-tick-trin\">TICK and TRIN.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this article, we dig into when technical indicators are a red flag, and when they&#8217;re necessary. <\/p>\n","protected":false},"author":186,"featured_media":185146,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,338,341],"tags":[],"contributors-categories":[18930],"class_list":{"0":"post-238848","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":"contributors-categories-databento"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>When Technical Indicators Are A Red Flag &#8211; And When They&#8217;re Necessary<\/title>\n<meta name=\"description\" content=\"In this article, we dig into when technical 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