{"id":2426,"date":"2026-03-25T13:56:58","date_gmt":"2026-03-25T10:56:58","guid":{"rendered":"https:\/\/investopedia.su\/ru\/?p=2426"},"modified":"2026-03-29T01:25:58","modified_gmt":"2026-03-28T22:25:58","slug":"ai-crypto-analysis-2026","status":"publish","type":"post","link":"https:\/\/investopedia.su\/en\/ai-crypto-analysis-2026\/","title":{"rendered":"AI Tools for Cryptocurrency Analysis 2026: A Beginner&#8217;s Guide"},"content":{"rendered":"<p><meta \/><meta content=\"width=device-width, initial-scale=1.0\" \/><meta content=\"Practical application of neural networks in crypto trading helps beginners filter market noise, find entry points, and reduce emotional errors when analyzing volatile assets in 2026.\" \/><meta content=\"Yuri Fingrafov\" \/><meta content=\"AI crypto analysis, neural networks trading, crypto analysis 2026, AI tools cryptocurrency, beginner trader\" \/><!-- Schema.org markup for Google --><br \/>\n<script type=\"application\/ld+json\"><br \/>\n    {<br \/>\n        \"@context\": \"https:\/\/schema.org\",<br \/>\n        \"@type\": \"Article\",<br \/>\n        \"headline\": \"AI Tools for Cryptocurrency Analysis 2026: A Beginner's Guide\",<br \/>\n        \"description\": \"Practical application of neural networks in crypto trading helps beginners filter market noise and find entry points\",<br \/>\n        \"author\": {<br \/>\n            \"@type\": \"Person\",<br \/>\n            \"name\": \"George Fingrafov\",<br \/>\n            \"url\": \"https:\/\/medium.com\/@fingrafov\",<br \/>\n            \"sameAs\": [<br \/>\n                \"https:\/\/medium.com\/@fingrafov\",<br \/>\n                \"https:\/\/fingrafov.substack.com\",<br \/>\n                \"https:\/\/steemit.com\/@fingrafov\",<br \/>\n                \"https:\/\/www.affiliatefix.com\/members\/fingrafov.292176\/\",<br \/>\n                \"https:\/\/paragraph.com\/@fingrafov\"<br \/>\n            ]\n        },<br \/>\n        \"publisher\": {<br \/>\n            \"@type\": \"Organization\",<br \/>\n            \"name\": \"Investopedia.su\",<br \/>\n            \"logo\": {<br \/>\n                \"@type\": \"ImageObject\",<br \/>\n                \"url\": \"http:\/\/investopedia.su\/wp-content\/uploads\/2025\/09\/investopedialogo.jpeg\"<br \/>\n            }<br \/>\n        },<br \/>\n        \"datePublished\": \"2026-03-25\",<br \/>\n        \"dateModified\": \"2026-03-25\",<br \/>\n        \"mainEntityOfPage\": {<br \/>\n            \"@type\": \"WebPage\",<br \/>\n            \"@id\": \"https:\/\/investopedia.su\/ai-crypto-analysis-2026\"<br \/>\n        },<br \/>\n        \"image\": {<br \/>\n            \"@type\": \"ImageObject\",<br \/>\n            \"url\": \"http:\/\/investopedia.su\/wp-content\/uploads\/2026\/03\/ai-crypto-analysis-2026.jpg\",<br \/>\n            \"width\": 1200,<br \/>\n            \"height\": 675<br \/>\n        }<br \/>\n    }<br \/>\n    <\/script><\/p>\n<p><script type=\"application\/ld+json\"><br \/>\n    {<br \/>\n        \"@context\": \"https:\/\/schema.org\",<br \/>\n        \"@type\": \"FAQPage\",<br \/>\n        \"mainEntity\": [<br \/>\n            {<br \/>\n                \"@type\": \"Question\",<br \/>\n                \"name\": \"Which AI tools are best for cryptocurrency analysis for beginners in 2026?\",<br \/>\n                \"acceptedAnswer\": {<br \/>\n                    \"@type\": \"Answer\",<br \/>\n                    \"text\": \"For beginner traders, free tools are optimal: Powerdrill Bloom for data visualization, Arkham Intelligence for wallet tracking, Dune Analytics for ready-made dashboards. As you gain experience, you can incorporate Token Metrics and Glassnode for in-depth analytics.\"<br \/>\n                }<br \/>\n            },<br \/>\n            {<br \/>\n                \"@type\": \"Question\",<br \/>\n                \"name\": \"How do I start using AI for crypto analysis without programming?\",<br \/>\n                \"acceptedAnswer\": {<br \/>\n                    \"@type\": \"Answer\",<br \/>\n                    \"text\": \"Start with natural language tools: upload data to Powerdrill Bloom and ask questions as you would to a person. Use ready-made dashboards on Dune Analytics. Set up alerts in Token Metrics. No SQL or Python knowledge is required to begin.\"<br \/>\n                }<br \/>\n            },<br \/>\n            {<br \/>\n                \"@type\": \"Question\",<br \/>\n                \"name\": \"How accurate are AI predictions for the crypto market?\",<br \/>\n                \"acceptedAnswer\": {<br \/>\n                    \"@type\": \"Answer\",<br \/>\n                    \"text\": \"AI does not guarantee accuracy. Neural networks identify patterns and probabilities, but cannot predict black swan events. Accuracy depends on the quality of input data. Use AI as a second opinion, not your sole source of truth. Always conduct your own research.\"<br \/>\n                }<br \/>\n            },<br \/>\n            {<br \/>\n                \"@type\": \"Question\",<br \/>\n                \"name\": \"How much does a subscription to professional AI tools for crypto trading cost?\",<br \/>\n                \"acceptedAnswer\": {<br \/>\n                    \"@type\": \"Answer\",<br \/>\n                    \"text\": \"Basic tools are free (Powerdrill, Arkham, Dune). Professional platforms range from $49\u2013400 per month: Token Metrics starts at $49\/month, Glassnode at $29\/month, Santiment at $39\/month. Start with free tools; add paid subscriptions when your portfolio reaches $1000.\"<br \/>\n                }<br \/>\n            }<br \/>\n        ]\n    }<br \/>\n    <\/script><\/p>\n<p><script type=\"application\/ld+json\"><br \/>\n    {<br \/>\n        \"@context\": \"https:\/\/schema.org\",<br \/>\n        \"@type\": \"ItemList\",<br \/>\n        \"itemListElement\": [<br \/>\n            {<br \/>\n                \"@type\": \"ListItem\",<br \/>\n                \"position\": 1,<br \/>\n                \"name\": \"Powerdrill Bloom\",<br \/>\n                \"description\": \"Free data visualization tool\",<br \/>\n                \"url\": \"https:\/\/investopedia.su\/powerdrill\"<br \/>\n            },<br \/>\n            {<br \/>\n                \"@type\": \"ListItem\",<br \/>\n                \"position\": 2,<br \/>\n                \"name\": \"Token Metrics\",<br \/>\n                \"description\": \"AI coin ratings from $49\/month\",<br \/>\n                \"url\": \"https:\/\/investopedia.su\/tokenmetrics\"<br \/>\n            },<br \/>\n            {<br \/>\n                \"@type\": \"ListItem\",<br \/>\n                \"position\": 3,<br \/>\n                \"name\": \"Glassnode\",<br \/>\n                \"description\": \"On-chain analytics from $29\/month\",<br \/>\n                \"url\": \"https:\/\/investopedia.su\/glassnode\"<br \/>\n            }<br \/>\n        ]\n    }<br \/>\n    <\/script><\/p>\n<article itemscope=\"\" itemtype=\"https:\/\/schema.org\/Article\">\n<header>\n<p class=\"subtitle\" itemprop=\"description\">Practical application of neural networks in crypto trading helps beginners filter market noise, find entry points, and reduce emotional errors when analyzing volatile assets in 2026.<\/p>\n<div class=\"author-info\" itemscope=\"\" itemtype=\"https:\/\/schema.org\/Person\" itemprop=\"author\"><\/div>\n<div class=\"affiliate-disclosure\" style=\"background: #f5f5f5; padding: 15px; border-left: 4px solid #0073aa; margin: 20px 0; font-style: italic;\"><strong>Disclaimer:<\/strong> This article contains affiliate links. If you sign up through them, I may earn a small commission at no extra cost to you. This helps me continue creating content for you. I only recommend tools I personally use.<\/div>\n<\/header>\n<div itemprop=\"articleBody\">\n<p>Everyone who believes AI will replace traders is wrong. But those who ignore AI analytics are already losing. Have you ever caught yourself buying a coin at the peak of hype and selling in panic? In the next few minutes, you&#8217;ll see how neural networks help you avoid these traps, turning chaos into clear signals.<\/p>\n<h2>Why manual analysis no longer works in the volatility of 2026<\/h2>\n<p>The crypto market in 2026 generates terabytes of data daily: on-chain metrics, social signals, order book analytics, macroeconomic statistics. A human physically cannot process this flow without bias. I went through this myself: from 2022 to 2024, I spent 4\u20136 hours a day gathering data, yet still made decisions based on emotion. The result was a series of losing trades that could have been avoided with structured AI analytics.<\/p>\n<blockquote><p><em>AI doesn&#8217;t replace your decision-making, but it gives you &#8220;supervision&#8221;\u2014the ability to see what&#8217;s hidden behind the noise.<\/em><\/p><\/blockquote>\n<h2>Which AI tools for cryptocurrency analysis actually save time for a beginner trader<\/h2>\n<p>I&#8217;ve tested over 15 platforms in the last 6 months. Here are the ones that offer the most value with the lowest barrier to entry:<\/p>\n<h3>Basic Level (Free \/ Freemium)<\/h3>\n<ul>\n<li><strong>Powerdrill Bloom<\/strong> \u2014 upload a CSV of your trading history or a PDF whitepaper, and AI generates visual reports and answers questions in natural language. Perfect for those who don&#8217;t want to code.<\/li>\n<li><strong>Arkham Intelligence<\/strong> \u2014 visualizes wallet connections, helps track &#8220;smart money&#8221; movements. Free for basic functionality.<\/li>\n<li><strong>Dune Analytics<\/strong> \u2014 a library of ready-made dashboards for DeFi, NFTs, L2. Includes an assistant for generating SQL queries.<\/li>\n<\/ul>\n<h3>Advanced Level (Subscription)<\/h3>\n<ul>\n<li><strong>Token Metrics<\/strong> \u2014 AI coin ratings based on 80+ parameters, bull\/bear signals, narrative detection. Especially useful for filtering &#8220;noisy&#8221; altcoins. <\/li>\n<li><strong>Glassnode<\/strong> \u2014 deep on-chain analytics for macro cycles. The free tier provides delayed data, which is sufficient for long-term strategies. <\/li>\n<li><strong>Santiment<\/strong> \u2014 a combination of social sentiment and on-chain metrics. Unique indicators like &#8220;Age Consumed&#8221; help catch reversals.<\/li>\n<\/ul>\n<blockquote><p><em>Start with free tools; add paid subscriptions as your portfolio and strategy complexity grow.<\/em><\/p><\/blockquote>\n<hr \/>\n<h2>How to start: a step-by-step algorithm for your first AI crypto analysis as a beginner<\/h2>\n<ol>\n<li><strong>Define your goal<\/strong>: Are you looking for an entry point, checking fundamentals, or assessing risk? This determines which metrics to use.<\/li>\n<li><strong>Gather data<\/strong>: Export your trading history from an exchange (CSV), find the project&#8217;s whitepaper (PDF), open a relevant dashboard on Dune.<\/li>\n<li><strong>Upload to an AI tool<\/strong>: for example, in Powerdrill Bloom ask: &#8220;<em>Show the correlation between trading volume and price over the last 30 days<\/em>&#8220;.<\/li>\n<li><strong>Verify signals<\/strong>: Cross-check AI output with data from a second source (e.g., on-chain metrics from Glassnode).<\/li>\n<li><strong>Make a decision<\/strong>: AI provides probability, not certainty. Your job is to assess risk\/reward and record your logic in a journal.<\/li>\n<\/ol>\n<p>Important: don&#8217;t blindly trust any tool. Even Token Metrics, when showing a &#8220;Bull&#8221; signal, can be wrong during black swan events.<\/p>\n<blockquote><p><em>The algorithm is simple but requires discipline. Record each step\u2014this is your personal dataset for learning.<\/em><\/p><\/blockquote>\n<hr \/>\n<h2>Platform comparison: objective pros and cons of AI tools for crypto trading<\/h2>\n<table style=\"width: 100%; border-collapse: collapse; margin: 20px 0;\">\n<thead>\n<tr style=\"background: #0073aa; color: white;\">\n<th style=\"padding: 12px; border: 1px solid #ddd;\">Criteria<\/th>\n<th style=\"padding: 12px; border: 1px solid #ddd;\">Free (Powerdrill, Arkham)<\/th>\n<th style=\"padding: 12px; border: 1px solid #ddd;\">Paid (Token Metrics, Glassnode)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 10px; border: 1px solid #ddd;\"><strong>Data Depth<\/strong><\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">Basic on-chain analytics, visualization<\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">Macro metrics, predictive models<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px; border: 1px solid #ddd;\"><strong>Entry Barrier<\/strong><\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">Low (natural language interface)<\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">Medium (requires understanding of metrics)<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px; border: 1px solid #ddd;\"><strong>Update Speed<\/strong><\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">Real-time for social signals, delay for on-chain<\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">1\u201324 hour delay on free tiers<\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px; border: 1px solid #ddd;\"><strong>Integrations<\/strong><\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">CSV export, basic APIs<\/td>\n<td style=\"padding: 10px; border: 1px solid #ddd;\">Webhooks, advanced APIs, alerts<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Pros of free solutions<\/strong>: quick start, no budget risk, learn how to formulate AI queries.<\/p>\n<p><strong>Cons<\/strong>: limited depth, data delays, less customization.<\/p>\n<p><strong>Pros of paid platforms<\/strong>: access to exclusive metrics, priority support, ready-made strategies.<\/p>\n<p><strong>Cons<\/strong>: cost ($49\u2013400\/month), risk of &#8220;overpaying&#8221; at the start.<\/p>\n<blockquote><p><em>The optimal strategy is hybrid. Use free tools for daily screening, paid tools for in-depth hypothesis validation.<\/em><\/p><\/blockquote>\n<hr \/>\n<h2>My case study: how AI analytics saved my portfolio in March 2026<\/h2>\n<p>In mid-March 2026, altcoins surged following regulatory news. Social media was buzzing: &#8220;<em>buy in, there&#8217;s going to be a pump<\/em>.&#8221; I almost gave in, but first ran the top 10 coins through a combination of tools:<\/p>\n<ol>\n<li><strong>LunarCrush<\/strong> showed an abnormal spike in mentions, but also a drop in discussion quality (many bots).<\/li>\n<li><strong>Santiment<\/strong> recorded token outflows from exchanges, but simultaneously a decline in developer activity on GitHub.<\/li>\n<li><strong>Token Metrics<\/strong> issued a &#8220;Hold&#8221; signal with a note of &#8220;high correction risk&#8221;.<\/li>\n<\/ol>\n<p>Result: I didn&#8217;t enter a position. Within 72 hours, the market corrected 22\u201335% across altcoins. Those who bought the hype lost 15\u201340% of their portfolios. My portfolio, focused on BTC and ETH with stablecoin hedging, was up +3.2% for the week.<\/p>\n<p>This isn&#8217;t a &#8220;profit guarantee.&#8221; It&#8217;s an example of how AI helps filter emotional noise and make a measured decision.<\/p>\n<blockquote><p><em>AI doesn&#8217;t make you rich. It makes you disciplined. And discipline in trading is 80% of success.<\/em><\/p><\/blockquote>\n<hr \/>\n<h2>Key considerations: risks and limitations of using AI in crypto trading<\/h2>\n<ul>\n<li><strong>AI works on historical data<\/strong>. Black swan events, regulatory shocks, technical failures\u2014all can break even the most accurate model.<\/li>\n<li><strong>Input data quality is critical<\/strong>. &#8220;<em>Garbage in, garbage out<\/em>.&#8221; Always verify your sources.<\/li>\n<li><strong>Account security<\/strong>. When connecting API keys, use read-only access and two-factor authentication.<\/li>\n<li><strong>Emotions don&#8217;t disappear<\/strong>. AI provides a signal, but the decision is yours. Don&#8217;t outsource responsibility to the algorithm.<\/li>\n<\/ul>\n<blockquote><p><strong>Trading cryptocurrencies, stocks, forex, and other assets involves significant risk. This is not financial advice. Always conduct your own research.<\/strong><\/p><\/blockquote>\n<p><em>AI is a powerful tool, but not a cure-all. Your job is to use it as a &#8220;second opinion,&#8221; not as the sole source of truth.<\/em><\/p>\n<blockquote><p><strong>Disclaimer<\/strong>: The information is for informational and analytical purposes only. The author is not responsible for readers&#8217; financial decisions.<\/p><\/blockquote>\n<h2>How to scale the approach: from first analysis to a systematic strategy<\/h2>\n<p>Once you&#8217;ve mastered the basic &#8220;query \u2192 analysis \u2192 decision&#8221; cycle, move to automation:<\/p>\n<ol>\n<li><strong>Set up alerts<\/strong>: let AI notify you when key metrics are reached (e.g., exchange outflows + rising social sentiment).<\/li>\n<li><strong>Create query templates<\/strong>: for quickly screening new coins using a consistent checklist.<\/li>\n<li><strong>Maintain a decision journal<\/strong>: record what signal AI gave, what decision you made, and the outcome. This is your personal dataset for refinement.<\/li>\n<li><strong>Test hypotheses on demo<\/strong>: before risking real capital, validate your strategy on historical data or a demo account.<\/li>\n<\/ol>\n<p>I personally use a combination: Powerdrill for initial screening \u2192 Token Metrics for deep verification \u2192 manual final check. This takes 20\u201330 minutes a day instead of 4\u20136 hours of manual analysis.<\/p>\n<blockquote><p><em>Scaling isn&#8217;t about more tools\u2014it&#8217;s about more discipline. Automate the routine; focus on decision-making.<\/em><\/p><\/blockquote>\n<\/div>\n<footer>\n<div class=\"tags\" style=\"margin: 30px 0;\"><strong>Tags:<\/strong><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#crypto_trading<\/span><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#AI_analytics<\/span><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#neural_networks_trading<\/span><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#beginner_trader<\/span><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#onchain_analytics<\/span><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#risk_management<\/span><br \/>\n<span style=\"display: inline-block; background: #0073aa; color: white; padding: 5px 10px; margin: 5px; border-radius: 3px;\">#fingrafov_method<\/span><\/div>\n<div class=\"author-bio\" style=\"background: #f9f9f9; padding: 20px; border-left: 4px solid #0073aa; margin: 30px 0;\">\n<h3>About the Author<\/h3>\n<p><strong>Yuri Fingrafov<\/strong> is a financial analyst with 16 years of experience (since 2010) in cryptocurrencies, trading, investments, and digital marketing. I specialize in AEO, GEO, and SEO copywriting using AI technologies. I help projects turn content into a growth engine. <strong>Need help with writing content for crypto projects?<\/strong> I create SEO-optimized content with expert depth.<\/p>\n<p><strong>Profiles:<\/strong> <a rel=\"nofollow noopener\" href=\"https:\/\/www.affiliatefix.com\/members\/fingrafov.292176\/\" target=\"_blank\">AffiliateFix<\/a> | <a rel=\"nofollow noopener\" href=\"https:\/\/paragraph.com\/@fingrafov\" target=\"_blank\">Paragraph<\/a> | <a rel=\"nofollow noopener\" href=\"https:\/\/www.quora.com\/profile\/Fingrafov\" target=\"_blank\">Quora<\/a><\/p>\n<\/div>\n<blockquote style=\"background: #fff3cd; padding: 15px; border-left: 4px solid #ffc107; margin: 20px 0; font-style: italic;\"><p><strong>Risk Warning:<\/strong> Trading cryptocurrencies, stocks, forex, and other assets involves significant risk. This article is not financial advice. Always conduct your own research. The author is not responsible for readers&#8217; financial decisions.<\/p><\/blockquote>\n<\/footer>\n<\/article>\n<div class=\"pld-like-dislike-wrap pld-template-1\">\r\n    <div class=\"pld-like-wrap  pld-common-wrap\">\r\n    <a href=\"javascript:void(0)\" class=\"pld-like-trigger pld-like-dislike-trigger  \" title=\"\" data-post-id=\"2426\" data-trigger-type=\"like\" data-restriction=\"cookie\" data-already-liked=\"0\">\r\n                        <i class=\"fas fa-thumbs-up\"><\/i>\r\n                <\/a>\r\n    <span class=\"pld-like-count-wrap pld-count-wrap\">    <\/span>\r\n<\/div><div class=\"pld-dislike-wrap  pld-common-wrap\">\r\n    <a href=\"javascript:void(0)\" class=\"pld-dislike-trigger pld-like-dislike-trigger  \" title=\"\" data-post-id=\"2426\" data-trigger-type=\"dislike\" data-restriction=\"cookie\" data-already-liked=\"0\">\r\n                        <i class=\"fas fa-thumbs-down\"><\/i>\r\n                <\/a>\r\n    <span class=\"pld-dislike-count-wrap pld-count-wrap\"><\/span>\r\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Practical application of neural networks in crypto trading helps beginners filter market noise, find entry points, and reduce emotional errors&hellip;<\/p>\n","protected":false},"author":3,"featured_media":2427,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_daextam_enable_autolinks":"1","footnotes":""},"categories":[8],"tags":[],"ppma_author":[129,118],"class_list":["post-2426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-investments"],"authors":[{"term_id":129,"user_id":3,"is_guest":0,"slug":"fingrafov","display_name":"Fingrafov","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/c3bb3639753d5fe72fbd8f5723b242632aff48a47773a4c9baa0f098b94c7634?s=96&d=robohash&r=g","0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""},{"term_id":118,"user_id":1,"is_guest":0,"slug":"investopedia","display_name":"\u0414\u0436\u043e\u0440\u0434\u0436","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/f9f2b7a629625e46e4fc350d3dbe2655cbb410c8a88558450028e605d8780ccf?s=96&d=robohash&r=g","0":null,"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/posts\/2426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/comments?post=2426"}],"version-history":[{"count":16,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/posts\/2426\/revisions"}],"predecessor-version":[{"id":2461,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/posts\/2426\/revisions\/2461"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/media\/2427"}],"wp:attachment":[{"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/media?parent=2426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/categories?post=2426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/tags?post=2426"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/investopedia.su\/en\/wp-json\/wp\/v2\/ppma_author?post=2426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}