{"id":2383,"date":"2026-05-26T11:36:03","date_gmt":"2026-05-26T11:36:03","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/hyperliquid-launches-prediction-markets\/"},"modified":"2026-07-06T07:30:57","modified_gmt":"2026-07-06T07:30:57","slug":"hyperliquid-launches-prediction-markets","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/hype\/news\/hyperliquid-launches-prediction-markets\/","title":{"rendered":"Hyperliquid launches prediction markets for real-world events"},"content":{"rendered":"<p><!-- TM_CHART_MOBILE_WIDTH_HOTFIX_START --><\/p>\n<style id=\"tm-chart-mobile-width-hotfix\">\n.single .entry-content > .tm-tv-chart {\n  box-sizing: border-box !important;\n  width: min(var(--cs-entry-content-large-width, 598px), calc(100vw - 3rem)) !important;\n  max-width: calc(100vw - 3rem) !important;\n  margin-left: calc(min(var(--cs-entry-content-large-width, 598px), calc(100vw - 3rem)) \/ -2 + 50%) !important;\n  margin-right: calc(min(var(--cs-entry-content-large-width, 598px), calc(100vw - 3rem)) \/ -2 + 50%) !important;\n  overflow: hidden !important;\n}\n.tm-tv-chart__canvas { width: 100% !important; 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}\n  function run(){document.querySelectorAll('[data-tm-chart]').forEach(render);} if(document.readyState==='loading') document.addEventListener('DOMContentLoaded',run); else run(); setTimeout(function(){document.querySelectorAll('[data-tm-chart]').forEach(function(f){delete f.dataset.tmSvgHotfixReady; render(f);});},1800);\n})();\n<\/script><br \/>\n<!-- TM_CHART_MOBILE_WIDTH_HOTFIX_END --><\/p>\n<h2>TL;DR<\/h2>\n<p>Hyperliquid just launched prediction markets for real-world events. Letting users trade outcomes like CPI changes and Fed rate decisions alongside their existing futures positions. The move positions the platform as an emerging onchain superapp rather than just another derivatives exchange.<\/p>\n<h2>Context<\/h2>\n<p>Hyperliquid started as a decentralized exchange focused on perpetual futures. Now it&#8217;s expanding its reach. The platform announced the launch of canonical prediction markets for offchain events in a Monday <a href=\"https:\/\/t.me\/hyperliquid_announcements\/552\" target=\"_blank\" rel=\"noopener\">Telegram post<\/a>. This marks a significant shift from crypto-native trading to broader financial speculation.<\/p>\n<p>The new markets run on Hyperliquid&#8217;s HIP-4 protocol. They use Circle&#8217;s USDC as the quote asset. According to a follow-up <a href=\"https:\/\/t.me\/hyperliquid_announcements\/553\" target=\"_blank\" rel=\"noopener\">announcement<\/a>. The first markets will focus on the May Consumer Price Index year-over-year change and the June federal funds rate decision. These are traditional economic indicators that typically drive conventional markets.<\/p>\n<p>Validators play a key role in this system. They run automated newsfeed software that publishes the markets. These validators also vote on market deployment and settlement. This decentralizes the oracle function that prediction markets need to work reliably.<\/p>\n<p>The integration matters because users can now trade event outcomes without moving collateral to separate platforms. Prediction markets sit inside Hyperliquid&#8217;s existing trading stack. This creates a unified experience for spot, perpetual futures, and event-based trading.<\/p>\n<p>Delphi Digital has been tracking this evolution. In a December research <a href=\"https:\/\/members.delphidigital.io\/reports\/the-year-ahead-for-apps-2026#key-takeaways\" target=\"_blank\" rel=\"noopener\">report<\/a>. The firm argued that Hyperliquid is becoming more than a perp DEX. They see it evolving into a broader onchain financial venue. The report noted that the technology stack has matured enough for true crypto superapps to exist without wallet limitations.<\/p>\n<p>Market reaction has been strong. When Hyperliquid first announced plans for prediction market functionality in February, the <a href=\"https:\/\/cointelegraph.com\/news\/hyperliquid-supports-predictions-market-proposal\" target=\"_blank\" rel=\"noopener\">HYPE token&#8217;s price<\/a> jumped 20%. This shows investor enthusiasm for the platform&#8217;s expansion strategy.<\/p>\n<p>The platform&#8217;s financial performance supports this growth narrative. Hyperliquid currently ranks as the fifth-largest protocol by weekly fees. It generated over $11 million in fees during the past week, according to DefiLlama <a href=\"https:\/\/defillama.com\/\" target=\"_blank\" rel=\"noopener\">data<\/a>. In the month leading up to May 10, the protocol produced $50.95 million in revenue. All of that revenue went directly to token holders with zero spending on incentives.<\/p>\n<p>Matt Hougan, chief investment officer at Bitwise. Has called Hyperliquid the crypto industry&#8217;s next &#8220;super-app.&#8221; In a May 19 <a href=\"https:\/\/experts.bitwiseinvestments.com\/cio-memos\/hyperliquid-is-what-you-get-when-crypto-is-allowed-to-grow-up\" target=\"_blank\" rel=\"noopener\">report<\/a>. He described it as a non-SEC regulated platform offering exposure to various asset classes. Hougan argues that the HYPE token is mispriced because investors value it only as a perp DEX rather than a financial super-app.<\/p>\n<p>The performance gap is striking. Since the start of 2026, HYPE has risen more than 134%. During the same period, the total crypto market capitalization fell about 14%, according to TradingView <a href=\"https:\/\/www.tradingview.com\/chart\/JBpUV8Q8\/?symbol=BITSTAMP%3ABTCUSD%27\" target=\"_blank\" rel=\"noopener\">data<\/a>. 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color: #e8eaf2;\n\t\t\tfont-variant-numeric: tabular-nums; line-height: 1.3;\n\t\t}\n\t\t.tm-token-stats__cell dd[data-trend=\"up\"]   { color: #4ade80; }\n\t\t.tm-token-stats__cell dd[data-trend=\"down\"] { color: #f87171; }\n\t\t.tm-token-stats__range {\n\t\t\tdisplay: flex; flex-direction: column; gap: 3px; width: 100%; min-width: 0;\n\t\t}\n\t\t.tm-token-stats__range-track {\n\t\t\tposition: relative; width: 100%; height: 0.2em; margin-top: 0.35em;\n\t\t\tbackground: rgba(232, 234, 242, 0.12); border-radius: 999px;\n\t\t}\n\t\t.tm-token-stats__range-dot {\n\t\t\tposition: absolute; top: 50%; width: 0.6em; height: 0.6em;\n\t\t\tmargin-top: -0.3em; margin-left: -0.3em;\n\t\t\tbackground: #FFD60A; border-radius: 50%;\n\t\t\tbox-shadow: 0 0 0 0.15em rgba(23, 23, 29, 1);\n\t\t}\n\t\t.tm-token-stats__range-bounds {\n\t\t\tdisplay: flex; justify-content: space-between; width: 100%;\n\t\t\tfont-size: 0.75em; font-weight: 500; line-height: 1.2;\n\t\t\tcolor: rgba(232, 234, 242, 0.55); font-variant-numeric: tabular-nums;\n\t\t}\n\t\t.tm-token-stats__source {\n\t\t\tmargin: 0.75em 0 0; font-size: 0.75em; color: rgba(232, 234, 242, 0.45); text-align: right;\n\t\t}\n\t\t@media (max-width: 560px) {\n\t\t\t.tm-token-stats__grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }\n\t\t}\n\t\t@media (max-width: 640px) {\n\t\t\t.tm-token-card {\n\t\t\t\tgrid-template-columns: auto 1fr;\n\t\t\t\tgrid-template-rows: auto auto;\n\t\t\t\tgap: 8px 14px;\n\t\t\t}\n\t\t\t.tm-token-card__cta {\n\t\t\t\tgrid-column: 1 \/ -1;\n\t\t\t\tjustify-content: center;\n\t\t\t}\n\t\t}\n\t<\/style>\n\t\t<figure\n\t\tclass=\"tm-tv-chart\"\n\t\tdata-tm-chart\n\t\tdata-tm-chart-id=\"hyperliquid\"\n\t\tdata-tm-chart-days=\"14\"\n\t\tdata-tm-chart-height=\"220\"\n\t>\n\t\t<header class=\"tm-tv-chart__header\">\n\t\t\t<div class=\"tm-tv-chart__title\">\n\t\t\t\t<span class=\"tm-tv-chart__name\">Hyperliquid<\/span>\n\t\t\t\t<span class=\"tm-tv-chart__ticker\">HYPE<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"tm-tv-chart__quote\">\n\t\t\t\t<span class=\"tm-tv-chart__price\" data-tm-chart-price>\u2014<\/span>\n\t\t\t\t<span class=\"tm-tv-chart__change\" data-tm-chart-change><\/span>\n\t\t\t<\/div>\n\t\t<\/header>\n\t\t<div\n\t\t\tclass=\"tm-tv-chart__canvas\"\n\t\t\trole=\"img\"\n\t\t\taria-label=\"Price chart for Hyperliquid\"\n\t\t\tstyle=\"height: 220px;\"\n\t\t><\/div>\n\t\t<figcaption class=\"tm-tv-chart__caption\">Live price for Hyperliquid \u2014 data via CoinGecko.<\/figcaption>\n\t<\/figure>\n\t\t<script id=\"tm-tv-chart-hydrator\">\n\t(function () {\n\t\tvar TM_BRAND = {\n\t\t\tbg:      '#17171D',\n\t\t\tline:    '#FFD60A',\n\t\t\tfillTop: 'rgba(255, 214, 10, 0.40)',\n\t\t\tfillBot: 'rgba(255, 214, 10, 0.00)',\n\t\t\ttext:    '#e8eaf2',\n\t\t\tgrid:    'rgba(232, 234, 242, 0.06)',\n\t\t\tborder:  'rgba(255, 214, 10, 0.18)'\n\t\t};\n\t\tfunction loadLibrary(cb) {\n\t\t\tif (window.LightweightCharts) { cb(); return; }\n\t\t\tvar s = document.createElement('script');\n\t\t\ts.src = 'https:\/\/unpkg.com\/lightweight-charts@4.2.3\/dist\/lightweight-charts.standalone.production.js';\n\t\t\t\/\/ Subresource Integrity hash for the pinned 4.2.3 build.\n\t\t\t\/\/ Greptile P1 (PR #1470): without SRI, a compromised npm\n\t\t\t\/\/ package or a CDN MITM at this version would execute\n\t\t\t\/\/ arbitrary JS in every visitor's browser. Recompute via\n\t\t\t\/\/ `curl -sS <src> | openssl dgst -sha384 -binary | base64`\n\t\t\t\/\/ when bumping the version.\n\t\t\ts.integrity = 'sha384-stKllnUqA9AD0gsKCuUtf5XlqAW7PwIgDagoNsTWkjkBmJ\/GZ\/uHTgEBxdLV2VSK';\n\t\t\ts.async = true;\n\t\t\ts.crossOrigin = 'anonymous';\n\t\t\ts.onload = cb;\n\t\t\ts.onerror = function () { console.warn('[tm-tv-chart] failed to load lightweight-charts'); };\n\t\t\tdocument.head.appendChild(s);\n\t\t}\n\n\t\tfunction priceFormat(value) {\n\t\t\tvar abs = Math.abs(value);\n\t\t\tif (abs >= 0.01)    { return { precision: 2, minMove: 0.01 }; }\n\t\t\tif (abs >= 0.0001)  { return { precision: 6, minMove: 0.000001 }; }\n\t\t\treturn { precision: 8, minMove: 0.00000001 };\n\t\t}\n\t\tfunction formatPrice(value) {\n\t\t\tvar fmt = priceFormat(value);\n\t\t\treturn '$' + value.toLocaleString('en-US', { minimumFractionDigits: fmt.precision, maximumFractionDigits: fmt.precision });\n\t\t}\n\t\tfunction formatChangeAbs(value) {\n\t\t\tvar sign = value >= 0 ? '+' : '\u2212';\n\t\t\tvar abs  = Math.abs(value);\n\t\t\tvar fmt  = priceFormat(abs);\n\t\t\treturn sign + '$' + abs.toLocaleString('en-US', { minimumFractionDigits: fmt.precision, maximumFractionDigits: fmt.precision });\n\t\t}\n\t\tfunction updateQuote(figure, data) {\n\t\t\tvar priceEl  = figure.querySelector('[data-tm-chart-price]');\n\t\t\tvar changeEl = figure.querySelector('[data-tm-chart-change]');\n\t\t\tif (!priceEl || !changeEl || data.length === 0) { return; }\n\t\t\tvar last = data[data.length - 1];\n\t\t\tvar dayAgoTs = last.time - 86400;\n\t\t\tvar baseline = data[0];\n\t\t\tfor (var i = data.length - 1; i >= 0; i--) {\n\t\t\t\tif (data[i].time <= dayAgoTs) { baseline = data[i]; break; }\n\t\t\t}\n\t\t\tvar changeAbs = last.value - baseline.value;\n\t\t\tvar changePct = baseline.value !== 0 ? (changeAbs \/ baseline.value) * 100 : 0;\n\t\t\tpriceEl.textContent  = formatPrice(last.value);\n\t\t\tchangeEl.textContent = formatChangeAbs(changeAbs) + ' (' + (changePct >= 0 ? '+' : '\u2212') + Math.abs(changePct).toFixed(2) + '%)';\n\t\t\tchangeEl.classList.remove('tm-tv-chart__change--up', 'tm-tv-chart__change--down');\n\t\t\tif (changeAbs > 0) { changeEl.classList.add('tm-tv-chart__change--up'); }\n\t\t\telse if (changeAbs < 0) { changeEl.classList.add('tm-tv-chart__change--down'); }\n\t\t}\n\n\t\tfunction fetchOhlc(coinId, days) {\n\t\t\tvar url = 'https:\/\/api.coingecko.com\/api\/v3\/coins\/' + encodeURIComponent(coinId)\n\t\t\t\t+ '\/ohlc?vs_currency=usd&days=' + encodeURIComponent(days);\n\t\t\treturn fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { throw new Error('coingecko ' + r.status); }\n\t\t\t\treturn r.json();\n\t\t\t}).then(function (rows) {\n\t\t\t\tif (!Array.isArray(rows)) { return []; }\n\t\t\t\treturn rows.map(function (k) {\n\t\t\t\t\treturn { time: Math.floor(k[0] \/ 1000), value: parseFloat(k[4]) };\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\n\t\tfunction renderOne(figure) {\n\t\t\tif (figure.dataset.tmChartReady) { return; }\n\t\t\tif (figure.dataset.tmChartFetching) { return; }\n\t\t\tvar coinId = figure.getAttribute('data-tm-chart-id');\n\t\t\tvar days   = figure.getAttribute('data-tm-chart-days') || '14';\n\t\t\tvar height = parseInt(figure.getAttribute('data-tm-chart-height') || '220', 10);\n\t\t\tvar canvas = figure.querySelector('.tm-tv-chart__canvas');\n\t\t\tif (!coinId || !canvas) { return; }\n\t\t\t\/\/ Greptile P1 (PR #1470): only mark the figure ready AFTER\n\t\t\t\/\/ the OHLC fetch resolves successfully. The earlier flow set\n\t\t\t\/\/ the flag before the await, so a single 429 from CoinGecko\n\t\t\t\/\/ permanently disabled retry for that page-load \u2014 every\n\t\t\t\/\/ subsequent renderAll() call (e.g. on resize \/ hashchange)\n\t\t\t\/\/ would short-circuit on the stale flag and the chart would\n\t\t\t\/\/ stay blank forever. The intermediate `tmChartFetching`\n\t\t\t\/\/ flag still prevents in-flight double-fetches.\n\t\t\tfigure.dataset.tmChartFetching = '1';\n\n\t\t\tfetchOhlc(coinId, days).then(function (data) {\n\t\t\t\tif (!data || data.length === 0) {\n\t\t\t\t\tdelete figure.dataset.tmChartFetching;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\tfigure.dataset.tmChartReady = '1';\n\t\t\t\tdelete figure.dataset.tmChartFetching;\n\t\t\t\tfunction renderSvgChart() {\n\t\t\t\t\tvar w = 1000;\n\t\t\t\t\tvar compact = (canvas.getBoundingClientRect && canvas.getBoundingClientRect().width < 420);\n\t\t\t\t\tvar h = compact ? Math.max(190, height - 20) : height;\n\t\t\t\t\tvar pad = compact\n\t\t\t\t\t\t? { l: 18, r: 132, t: 14, b: 32 }\n\t\t\t\t\t\t: { l: 20, r: 96, t: 14, b: 34 };\n\t\t\t\t\tvar plotW = w - pad.l - pad.r;\n\t\t\t\t\tvar plotH = h - pad.t - pad.b;\n\t\t\t\t\tvar values = data.map(function (d) { return d.value; });\n\t\t\t\t\tvar rawMin = Math.min.apply(null, values);\n\t\t\t\t\tvar rawMax = Math.max.apply(null, values);\n\t\t\t\t\tvar rawSpan = Math.max(rawMax - rawMin, Math.abs(rawMax) * 0.01, 1);\n\t\t\t\t\tfunction niceStep(range, targetTicks) {\n\t\t\t\t\t\tvar rough = range \/ Math.max(1, targetTicks - 1);\n\t\t\t\t\t\tvar exponent = Math.pow(10, Math.floor(Math.log10(rough)));\n\t\t\t\t\t\tvar fraction = rough \/ exponent;\n\t\t\t\t\t\tvar niceFraction = fraction <= 1 ? 1 : fraction <= 2 ? 2 : fraction <= 5 ? 5 : 10;\n\t\t\t\t\t\treturn niceFraction * exponent;\n\t\t\t\t\t}\n\t\t\t\t\tvar step = niceStep(rawSpan * 1.16, 6);\n\t\t\t\t\tvar min = Math.floor((rawMin - rawSpan * 0.12) \/ step) * step;\n\t\t\t\t\tvar max = Math.ceil((rawMax + rawSpan * 0.12) \/ step) * step;\n\t\t\t\t\tvar span = Math.max(max - min, step);\n\t\t\t\t\tfunction x(i) { return pad.l + (data.length === 1 ? plotW : (i \/ (data.length - 1)) * plotW); }\n\t\t\t\t\tfunction y(v) { return pad.t + ((max - v) \/ span) * plotH; }\n\t\t\t\t\tfunction esc(s) { return String(s).replace(\/[&<>\\\"]\/g, function (c) { return ({ '&': '&amp;', '<': '&lt;', '>': '&gt;', '\"': '&quot;' })[c]; }); }\n\t\t\t\t\tfunction fmtTick(v) {\n\t\t\t\t\t\tif (Math.abs(v) >= 1000) {\n\t\t\t\t\t\t\treturn '$' + Math.round(v \/ 1000).toLocaleString('en-US') + 'K';\n\t\t\t\t\t\t}\n\t\t\t\t\t\treturn '$' + Math.round(v).toLocaleString('en-US');\n\t\t\t\t\t}\n\t\t\t\t\tfunction fmtDate(ts) { return new Date(ts * 1000).toLocaleDateString(undefined, { month: 'short', day: 'numeric', timeZone: 'UTC' }); }\n\t\t\t\t\tvar line = data.map(function (d, i) { return (i ? 'L' : 'M') + x(i).toFixed(1) + ' ' + y(d.value).toFixed(1); }).join(' ');\n\t\t\t\t\tvar area = line + ' L' + x(data.length - 1).toFixed(1) + ' ' + (pad.t + plotH).toFixed(1) + ' L' + pad.l + ' ' + (pad.t + plotH).toFixed(1) + ' Z';\n\t\t\t\t\tvar grid = '';\n\t\t\t\t\tfor (var gv = max; gv >= min - step * 0.5; gv -= step) {\n\t\t\t\t\t\tvar gy = y(gv);\n\t\t\t\t\t\tgrid += '<line x1=\"' + pad.l + '\" y1=\"' + gy.toFixed(1) + '\" x2=\"' + (pad.l + plotW) + '\" y2=\"' + gy.toFixed(1) + '\" stroke=\"' + TM_BRAND.grid + '\"\/>';\n\t\t\t\t\t\tgrid += '<text x=\"' + (pad.l + plotW + 10) + '\" y=\"' + (gy + 4).toFixed(1) + '\" fill=\"rgba(232,234,242,.72)\" font-size=\"20\">' + esc(fmtTick(gv)) + '<\/text>';\n\t\t\t\t\t}\n\t\t\t\t\tvar labels = '';\n\t\t\t\t\t[0, Math.floor((data.length - 1) \/ 2), data.length - 1].forEach(function (idx, n) {\n\t\t\t\t\t\tlabels += '<text x=\"' + x(idx).toFixed(1) + '\" y=\"' + (h - 9) + '\" text-anchor=\"' + (n === 0 ? 'start' : n === 2 ? 'end' : 'middle') + '\" fill=\"rgba(232,234,242,.62)\" font-size=\"' + (compact ? 24 : 20) + '\">' + esc(fmtDate(data[idx].time)) + '<\/text>';\n\t\t\t\t\t});\n\t\t\t\t\tcanvas.innerHTML = '<svg class=\"tm-tv-chart__svg\" viewBox=\"0 0 ' + w + ' ' + h + '\" width=\"100%\" height=\"100%\" preserveAspectRatio=\"none\" role=\"presentation\" aria-hidden=\"true\">'\n\t\t\t\t\t\t+ '<defs><linearGradient id=\"tm-chart-fill-' + Math.random().toString(36).slice(2) + '\" x1=\"0\" x2=\"0\" y1=\"0\" y2=\"1\"><stop offset=\"0%\" stop-color=\"rgba(255,214,10,.38)\"\/><stop offset=\"100%\" stop-color=\"rgba(255,214,10,0)\"\/><\/linearGradient><\/defs>'\n\t\t\t\t\t\t+ '<rect x=\"0\" y=\"0\" width=\"' + w + '\" height=\"' + h + '\" fill=\"' + TM_BRAND.bg + '\"\/>'\n\t\t\t\t\t\t+ grid\n\t\t\t\t\t\t+ '<path d=\"' + area + '\" fill=\"rgba(255,214,10,.18)\"\/>'\n\t\t\t\t\t\t+ '<path d=\"' + line + '\" fill=\"none\" stroke=\"' + TM_BRAND.line + '\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>'\n\t\t\t\t\t\t+ labels\n\t\t\t\t\t\t+ '<\/svg>';\n\t\t\t\t}\n\t\t\t\trenderSvgChart();\n\t\t\t\tupdateQuote(figure, data);\n\t\t\t\tif (window.ResizeObserver) {\n\t\t\t\t\tvar ro = new ResizeObserver(renderSvgChart);\n\t\t\t\t\tro.observe(canvas);\n\t\t\t\t}\n\t\t\t}).catch(function (err) {\n\t\t\t\t\/\/ Greptile P1 (PR #1470): clear the in-flight flag on\n\t\t\t\t\/\/ failure so a future renderAll() can retry. Without\n\t\t\t\t\/\/ this, a 429 from CoinGecko leaves the figure\n\t\t\t\t\/\/ permanently in a half-loaded state.\n\t\t\t\tdelete figure.dataset.tmChartFetching;\n\t\t\t\tconsole.warn('[tm-tv-chart] data fetch failed for ' + coinId, err);\n\t\t\t});\n\t\t}\n\n\t\tfunction renderAll() {\n\t\t\tvar figures = document.querySelectorAll('[data-tm-chart]');\n\t\t\tif (figures.length === 0) { return; }\n\t\t\tfigures.forEach(renderOne);\n\t\t}\n\n\t\tif (document.readyState === 'loading') {\n\t\t\tdocument.addEventListener('DOMContentLoaded', renderAll);\n\t\t} else {\n\t\t\trenderAll();\n\t\t}\n\t})();\n\t<\/script>\n\t\t\n\t\t<aside\n\t\tclass=\"tm-token-stats\"\n\t\tdata-tm-token-stats\n\t\tdata-tm-stats-id=\"hyperliquid\"\n\t\tdata-tm-stats-lookback=\"365\"\n\t\taria-label=\"Hyperliquid key statistics\"\n\t>\n\t\t<header class=\"tm-token-stats__header\">\n\t\t\t<h3 class=\"tm-token-stats__title\">Hyperliquid \u00b7 Key Stats<\/h3>\n\t\t\t<span class=\"tm-token-stats__lookback\">365d lookback<\/span>\n\t\t<\/header>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Market<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Market Cap<\/dt><dd data-tm-stats-value=\"market-cap\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Vol \/ Cap<\/dt><dd data-tm-stats-value=\"turnover\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>52-Week Range<\/dt><dd data-tm-stats-value=\"range-52w\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Performance<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>30d<\/dt><dd data-tm-stats-value=\"change-30d\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>1y<\/dt><dd data-tm-stats-value=\"change-1y\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>vs BTC<\/dt><dd data-tm-stats-value=\"vs-btc\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Risk (1y)<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Volatility<\/dt><dd data-tm-stats-value=\"volatility\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Max Drawdown<\/dt><dd data-tm-stats-value=\"max-drawdown\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Sharpe<\/dt><dd data-tm-stats-value=\"sharpe\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<p class=\"tm-token-stats__source\">Data via CoinGecko. Risk metrics from the trailing daily closes.<\/p>\n\t<\/aside>\n\t\t<script id=\"tm-token-stats-hydrator\">\n\t(function () {\n\t\t\/\/ Routed through the tm-coingecko-proxy Worker (5-min KV cache,\n\t\t\/\/ paid Pro key) instead of api.coingecko.com directly. Base URL is\n\t\t\/\/ resolved server-side from the `tm_token_card_coingecko_proxy_base`\n\t\t\/\/ filter \/ TM_COINGECKO_PROXY_BASE constant so staging can point\n\t\t\/\/ at a separate Worker.\n\t\tvar PROXY_BASE = \"https:\\\/\\\/tokenmetrics.com\\\/api\\\/cg\";\n\t\tvar DAYS_PER_YEAR = 365;\n\t\tvar coinCache = {};\n\t\tfunction fetchJson(url) {\n\t\t\treturn fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { throw new Error('coingecko ' + r.status); }\n\t\t\t\treturn r.json();\n\t\t\t});\n\t\t}\n\t\tfunction fetchSnapshot(id) {\n\t\t\tif (coinCache['snap_' + id]) { return coinCache['snap_' + id]; }\n\t\t\tvar url = PROXY_BASE + '\/coins\/' + encodeURIComponent(id)\n\t\t\t\t+ '?localization=false&tickers=false&community_data=false&developer_data=false&sparkline=false';\n\t\t\tcoinCache['snap_' + id] = fetchJson(url);\n\t\t\treturn coinCache['snap_' + id];\n\t\t}\n\t\tfunction fetchSeries(id, days) {\n\t\t\tvar key = 'series_' + id + '_' + days;\n\t\t\tif (coinCache[key]) { return coinCache[key]; }\n\t\t\tvar url = PROXY_BASE + '\/coins\/' + encodeURIComponent(id)\n\t\t\t\t+ '\/market_chart?vs_currency=usd&days=' + encodeURIComponent(days);\n\t\t\tcoinCache[key] = fetchJson(url).then(function (d) {\n\t\t\t\treturn Array.isArray(d.prices) ? d.prices : [];\n\t\t\t});\n\t\t\treturn coinCache[key];\n\t\t}\n\t\tfunction fmtUsd(value) {\n\t\t\tvar abs = Math.abs(value);\n\t\t\tvar precision = abs >= 0.01 ? 2 : (abs >= 0.0001 ? 6 : 8);\n\t\t\treturn '$' + value.toLocaleString('en-US', { minimumFractionDigits: precision, maximumFractionDigits: precision });\n\t\t}\n\t\tfunction fmtCompactUsd(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return '\u2014'; }\n\t\t\tvar abs = Math.abs(value);\n\t\t\tif (abs >= 1e12) { return '$' + (value \/ 1e12).toFixed(2) + 'T'; }\n\t\t\tif (abs >= 1e9)  { return '$' + (value \/ 1e9).toFixed(2)  + 'B'; }\n\t\t\tif (abs >= 1e6)  { return '$' + (value \/ 1e6).toFixed(2)  + 'M'; }\n\t\t\tif (abs >= 1e3)  { return '$' + (value \/ 1e3).toFixed(2)  + 'K'; }\n\t\t\treturn fmtUsd(value);\n\t\t}\n\t\tfunction fmtPct(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return '\u2014'; }\n\t\t\tvar sign = value >= 0 ? '+' : '\u2212';\n\t\t\treturn sign + Math.abs(value).toFixed(2) + '%';\n\t\t}\n\t\tfunction trendOf(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return null; }\n\t\t\tif (value > 0) { return 'up'; }\n\t\t\tif (value < 0) { return 'down'; }\n\t\t\treturn null;\n\t\t}\n\t\tfunction setCell(root, key, text, trend) {\n\t\t\tvar el = root.querySelector('[data-tm-stats-value=\"' + key + '\"]');\n\t\t\tif (!el) { return; }\n\t\t\tel.textContent = text;\n\t\t\tif (trend === 'up' || trend === 'down') { el.setAttribute('data-trend', trend); }\n\t\t\telse { el.removeAttribute('data-trend'); }\n\t\t}\n\t\tfunction dailyReturns(prices) {\n\t\t\tvar rets = [];\n\t\t\tfor (var i = 1; i < prices.length; i++) {\n\t\t\t\tvar prev = prices[i - 1][1], cur = prices[i][1];\n\t\t\t\tif (prev > 0 && isFinite(prev) && isFinite(cur)) { rets.push(cur \/ prev - 1); }\n\t\t\t}\n\t\t\treturn rets;\n\t\t}\n\t\tfunction mean(arr) {\n\t\t\tif (arr.length === 0) { return 0; }\n\t\t\tvar s = 0; for (var i = 0; i < arr.length; i++) { s += arr[i]; }\n\t\t\treturn s \/ arr.length;\n\t\t}\n\t\tfunction stddev(arr, mu) {\n\t\t\tif (arr.length < 2) { return 0; }\n\t\t\tvar s = 0;\n\t\t\tfor (var i = 0; i < arr.length; i++) { var d = arr[i] - mu; s += d * d; }\n\t\t\treturn Math.sqrt(s \/ (arr.length - 1));\n\t\t}\n\t\tfunction maxDrawdown(prices) {\n\t\t\tif (prices.length < 2) { return { value: 0, duration: 0 }; }\n\t\t\tvar peak = prices[0][1], peakIdx = 0;\n\t\t\tvar maxDd = 0, troughIdx = 0, troughPeakIdx = 0;\n\t\t\tfor (var i = 1; i < prices.length; i++) {\n\t\t\t\tvar p = prices[i][1];\n\t\t\t\tif (p > peak) { peak = p; peakIdx = i; }\n\t\t\t\tif (peak > 0) {\n\t\t\t\t\tvar dd = (p - peak) \/ peak;\n\t\t\t\t\tif (dd < maxDd) { maxDd = dd; troughIdx = i; troughPeakIdx = peakIdx; }\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar duration = 0;\n\t\t\tif (prices[troughIdx] && prices[troughPeakIdx]) {\n\t\t\t\tvar ms = prices[troughIdx][0] - prices[troughPeakIdx][0];\n\t\t\t\tduration = Math.max(0, Math.round(ms \/ 86400000));\n\t\t\t}\n\t\t\treturn { value: maxDd, duration: duration };\n\t\t}\n\t\tfunction quantStats(prices) {\n\t\t\tif (!prices || prices.length < 30) { return null; }\n\t\t\tvar rets = dailyReturns(prices);\n\t\t\tif (rets.length === 0) { return null; }\n\t\t\tvar mu = mean(rets);\n\t\t\tvar sd = stddev(rets, mu);\n\t\t\tvar ann_mu = mu * DAYS_PER_YEAR;\n\t\t\tvar ann_sd = sd * Math.sqrt(DAYS_PER_YEAR);\n\t\t\tvar dd = maxDrawdown(prices);\n\t\t\treturn {\n\t\t\t\tvolatility:      ann_sd,\n\t\t\t\tmaxDrawdown:     dd.value,\n\t\t\t\tmaxDrawdownDays: dd.duration,\n\t\t\t\tsharpe:          ann_sd > 0 ? ann_mu \/ ann_sd : 0\n\t\t\t};\n\t\t}\n\t\tfunction totalReturn(prices) {\n\t\t\tif (!prices || prices.length < 2) { return null; }\n\t\t\tvar first = prices[0][1], last = prices[prices.length - 1][1];\n\t\t\tif (!isFinite(first) || !isFinite(last) || first <= 0) { return null; }\n\t\t\treturn last \/ first - 1;\n\t\t}\n\t\tfunction setRangeCell(root, key, low, current, high) {\n\t\t\tvar el = root.querySelector('[data-tm-stats-value=\"' + key + '\"]');\n\t\t\tif (!el) { return; }\n\t\t\tel.removeAttribute('data-trend');\n\t\t\tif (!isFinite(low) || !isFinite(high) || !isFinite(current) || high <= low) {\n\t\t\t\tel.textContent = '\u2014'; return;\n\t\t\t}\n\t\t\tvar pct = ((current - low) \/ (high - low)) * 100;\n\t\t\tpct = Math.max(0, Math.min(100, pct));\n\t\t\tel.innerHTML = '';\n\t\t\tvar wrap = document.createElement('div'); wrap.className = 'tm-token-stats__range';\n\t\t\tvar track = document.createElement('div'); track.className = 'tm-token-stats__range-track';\n\t\t\tvar dot = document.createElement('div'); dot.className = 'tm-token-stats__range-dot';\n\t\t\tdot.style.left = pct.toFixed(1) + '%';\n\t\t\ttrack.appendChild(dot);\n\t\t\tvar bounds = document.createElement('div'); bounds.className = 'tm-token-stats__range-bounds';\n\t\t\tvar loSpan = document.createElement('span'); loSpan.textContent = fmtUsd(low);\n\t\t\tvar hiSpan = document.createElement('span'); hiSpan.textContent = fmtUsd(high);\n\t\t\tbounds.appendChild(loSpan); bounds.appendChild(hiSpan);\n\t\t\twrap.appendChild(track); wrap.appendChild(bounds); el.appendChild(wrap);\n\t\t}\n\t\tfunction renderOne(root) {\n\t\t\tif (root.dataset.tmStatsReady) { return; }\n\t\t\tvar coinId = root.getAttribute('data-tm-stats-id');\n\t\t\tvar lookback = root.getAttribute('data-tm-stats-lookback') || '365';\n\t\t\tif (!coinId) { return; }\n\t\t\troot.dataset.tmStatsReady = '1';\n\t\t\tPromise.all([\n\t\t\t\tfetchSnapshot(coinId),\n\t\t\t\tfetchSeries(coinId, lookback),\n\t\t\t\tfetchSeries('bitcoin', lookback)\n\t\t\t]).then(function (results) {\n\t\t\t\tvar snap = results[0]; var prices = results[1]; var btcPrices = results[2];\n\t\t\t\tvar md = (snap && snap.market_data) || {};\n\t\t\t\tsetCell(root, 'market-cap', fmtCompactUsd(md.market_cap && md.market_cap.usd));\n\t\t\t\tvar vol = md.total_volume && md.total_volume.usd;\n\t\t\t\tvar mcap = md.market_cap && md.market_cap.usd;\n\t\t\t\tvar turnoverText = '\u2014';\n\t\t\t\tif (vol && mcap && mcap > 0) {\n\t\t\t\t\tturnoverText = fmtCompactUsd(vol) + ' (' + ((vol \/ mcap) * 100).toFixed(2) + '%)';\n\t\t\t\t} else if (vol) { turnoverText = fmtCompactUsd(vol); }\n\t\t\t\tsetCell(root, 'turnover', turnoverText);\n\t\t\t\tif (prices && prices.length > 1) {\n\t\t\t\t\tvar lo = Infinity, hi = -Infinity;\n\t\t\t\t\tfor (var i = 0; i < prices.length; i++) {\n\t\t\t\t\t\tvar p = prices[i][1];\n\t\t\t\t\t\tif (p < lo) { lo = p; } if (p > hi) { hi = p; }\n\t\t\t\t\t}\n\t\t\t\t\tvar cur = (md.current_price && md.current_price.usd) || prices[prices.length - 1][1];\n\t\t\t\t\tsetRangeCell(root, 'range-52w', lo, cur, hi);\n\t\t\t\t}\n\t\t\t\tsetCell(root, 'change-30d', fmtPct(md.price_change_percentage_30d), trendOf(md.price_change_percentage_30d));\n\t\t\t\tsetCell(root, 'change-1y',  fmtPct(md.price_change_percentage_1y),  trendOf(md.price_change_percentage_1y));\n\t\t\t\tvar tokenRet = totalReturn(prices), btcRet = totalReturn(btcPrices);\n\t\t\t\tif (tokenRet !== null && btcRet !== null) {\n\t\t\t\t\tvar vsBtc = (tokenRet - btcRet) * 100;\n\t\t\t\t\tsetCell(root, 'vs-btc', fmtPct(vsBtc), trendOf(vsBtc));\n\t\t\t\t}\n\t\t\t\tvar qs = quantStats(prices);\n\t\t\t\tvar btcQs = quantStats(btcPrices);\n\t\t\t\tif (qs) {\n\t\t\t\t\tsetCell(root, 'volatility', (qs.volatility * 100).toFixed(1) + '%');\n\t\t\t\t\tvar ddText = fmtPct(qs.maxDrawdown * 100);\n\t\t\t\t\tif (qs.maxDrawdownDays > 0) { ddText += ' (' + qs.maxDrawdownDays + 'd)'; }\n\t\t\t\t\tsetCell(root, 'max-drawdown', ddText, 'down');\n\t\t\t\t\tvar sharpeText = qs.sharpe.toFixed(2);\n\t\t\t\t\tif (btcQs && btcQs.sharpe !== 0) { sharpeText += ' \u00b7 BTC ' + btcQs.sharpe.toFixed(2); }\n\t\t\t\t\tsetCell(root, 'sharpe', sharpeText, trendOf(qs.sharpe));\n\t\t\t\t}\n\t\t\t}).catch(function (err) { console.warn('[tm-token-stats] fetch failed for ' + coinId, err); });\n\t\t}\n\t\tfunction renderAll() {\n\t\t\tvar roots = document.querySelectorAll('[data-tm-token-stats]');\n\t\t\troots.forEach(renderOne);\n\t\t}\n\t\tif (document.readyState === 'loading') {\n\t\t\tdocument.addEventListener('DOMContentLoaded', renderAll);\n\t\t} else {\n\t\t\trenderAll();\n\t\t}\n\t})();\n\t<\/script>\n\t\t\n\t\t<aside\n\t\tclass=\"tm-token-card\"\n\t\trole=\"complementary\"\n\t\taria-label=\"Track Hyperliquid (HYPE) with Token Metrics\"\n\t\tdata-tm-token-card=\"hype\"\n\t>\n\t\t<header class=\"tm-token-card__header\">\n\t\t\t<p class=\"tm-token-card__eyebrow\">Track this token with Token Metrics<\/p>\n\t\t\t<h3 class=\"tm-token-card__title\">\n\t\t\t\t<span class=\"tm-token-card__name\">Hyperliquid<\/span>\n\t\t\t\t<span class=\"tm-token-card__ticker\">HYPE<\/span>\n\t\t\t<\/h3>\n\t\t<\/header>\n\t\t<ul class=\"tm-token-card__benefits\">\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">7-day free trial of Signal<\/li>\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">Smart-money wallet flows across the top tokens<\/li>\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">Daily technical setup labels \u2014 Bullish to Bearish, both directions<\/li>\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">Polymarket consensus on near-term catalysts<\/li>\n\t\t\t\t\t<\/ul>\n\t\t<div class=\"tm-token-card__footer\">\n\t\t\t<a class=\"tm-token-card__cta\" href=\"https:\/\/tokenmetrics.com\/?utm_source=tm_blog&#038;utm_medium=token_card&#038;utm_campaign=signal_hype#premium\" rel=\"noopener\" target=\"_blank\">See the setup, risk, and invalidation before you act \u2192<\/a>\n\t\t\t<span class=\"tm-token-card__meta\">Signal alerts include the setup, risk, and what would change the trade.<\/span>\n\t\t<\/div>\n\t<\/aside>\n\t\n<h2>What&#8217;s New<\/h2>\n<p>Hyperliquid officially launched canonical prediction markets for offchain events on May 26, 2026. The announcement came through the platform&#8217;s official <a href=\"https:\/\/t.me\/hyperliquid_announcements\/552\" target=\"_blank\" rel=\"noopener\">Telegram channel<\/a>. This represents the first major expansion beyond its core perpetual futures offering.<\/p>\n<p>The implementation uses HIP-4, Hyperliquid&#8217;s improvement proposal for prediction markets. Markets are settled in USDC, providing stablecoin stability for traders. The validator network handles both market creation and settlement through automated newsfeed software.<\/p>\n<p>Initial market selection focuses on macroeconomic events. The first two markets target the May CPI year-over-year change and the June federal funds rate decision. These are high-impact economic indicators that traditionally move markets across asset classes.<\/p>\n<p>The technical integration places prediction markets directly into Hyperliquid&#8217;s existing trading interface. Users can access these markets without additional collateral transfers or platform switching. This unified approach contrasts with specialized prediction market platforms that require separate capital allocation.<\/p>\n<p>Validators serve as the decentralized oracle mechanism. They publish markets based on newsfeed inputs and vote on settlement outcomes. This system aims to provide reliable event resolution without centralized control.<\/p>\n<p>The launch follows months of development signals. In February, Hyperliquid announced its prediction market plans, which sparked a 20% rally in the HYPE token. The actual implementation delivers on that roadmap with a working product.<\/p>\n<h2>What to Watch<\/h2>\n<ul>\n<li>Monitor the volume and liquidity of the initial CPI and Fed rate markets. Strong participation would validate demand for onchain prediction markets.<\/li>\n<li>Watch for additional market listings beyond economic indicators. Expansion into political, sports, or other categories would signal broader ambitions.<\/li>\n<li>Track validator participation in the oracle system. The accuracy and reliability of automated newsfeed publishing will impact platform credibility.<\/li>\n<li>Observe how traditional prediction market users respond to Hyperliquid&#8217;s integrated approach. Migration from specialized platforms could accelerate adoption.<\/li>\n<li>Note any regulatory developments. As a non-SEC regulated platform offering exposure to traditional markets, Hyperliquid operates in a gray area that warrants monitoring.<\/li>\n<\/ul>\n<p>This content is for informational purposes only and does not constitute financial advice.<\/p>\n<p><!-- tm-public-resource-link-v1 --><\/p>\n<section class=\"tm-public-resource-link\" aria-label=\"More Token Metrics resources\" style=\"margin:26px 0;padding:18px;border:1px solid #ececec;border-radius:14px;background:#fafafa;\">\n<p class=\"wp-block-paragraph\" style=\"margin:0;\"><strong>Continue your research:<\/strong> Use <a href=\"https:\/\/tokenmetrics.com\/\">Token Metrics crypto market research tools<\/a> to compare market context, risk signals, and related crypto news before making decisions.<\/p>\n<\/section>\n","protected":false},"excerpt":{"rendered":"Hyperliquid expanded beyond perpetual futures by launching canonical prediction markets for offchain events, positioning itself as an onchain superapp.","protected":false},"author":1,"featured_media":2382,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_tm_paid_cta_tier":"","_tm_paid_cta_heading":"","_tm_paid_cta_body":"","csco_display_header_overlay":false,"csco_singular_sidebar":"","csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_reading_time":"","csco_page_toc_navigation":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0,"csco_post_video_bg_volume":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[219,158],"tags":[208,425,278,222,153],"sections":[183],"entities":[220],"class_list":["post-2383","post","type-post","status-publish","format-standard","has-post-thumbnail","category-hype","category-news","tag-defi","tag-dex","tag-hype","tag-hyperliquid","tag-prediction-markets","section-news","entity-hype","cs-entry","cs-video-wrap"],"jetpack_featured_media_url":"https:\/\/tokenmetrics.com\/blog\/wp-content\/uploads\/2026\/05\/hyperliquid-launches-prediction-markets-featured.webp","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2383","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/comments?post=2383"}],"version-history":[{"count":8,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2383\/revisions"}],"predecessor-version":[{"id":5920,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2383\/revisions\/5920"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media\/2382"}],"wp:attachment":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media?parent=2383"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/categories?post=2383"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/tags?post=2383"},{"taxonomy":"section","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/sections?post=2383"},{"taxonomy":"entity","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/entities?post=2383"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}