{"id":7469,"date":"2026-10-20T07:04:52","date_gmt":"2026-10-20T07:04:52","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/bitcoin-etfs-527m-inflows-biggest-since-september\/"},"modified":"2026-10-20T07:04:52","modified_gmt":"2026-10-20T07:04:52","slug":"bitcoin-etfs-527m-inflows-biggest-since-september","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/btc\/news\/bitcoin-etfs-527m-inflows-biggest-since-september\/","title":{"rendered":"US Bitcoin ETFs Draw $527M as Token Metrics Technicals Read Bearish"},"content":{"rendered":"<h2>Signal Snapshot<\/h2>\n<ul>\n<li>BlackRock buying returned while others sold. That split tells the real story.<\/li>\n<li>US spot Bitcoin ETFs took in about $527 million on Monday. It was the best day since Sept. 22.<\/li>\n<li>BlackRock&#8217;s IBIT pulled in about $665 million. That sum was larger than the net total for all funds.<\/li>\n<li>Fidelity&#8217;s FBTC lost about $84 million. Grayscale&#8217;s GBTC lost about $55 million. Other funds saw no net flows.<\/li>\n<li>Ether ETFs moved the other way. They lost about $103 million on the same day.<\/li>\n<li>October is still slightly red for Bitcoin ETFs. The funds sit about $88 million in the hole for the month.<\/li>\n<\/ul>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li>US spot Bitcoin ETFs added about $527 million on Monday, their strongest day in nearly a month.<\/li>\n<li>The gain came from one fund. BlackRock bought big while Fidelity and Grayscale saw selling.<\/li>\n<li>The real read is rotation, not broad demand. Bitcoin funds bounced while Ether funds kept bleeding.<\/li>\n<\/ul>\n<h2>What Happened<\/h2>\n<p>Bitcoin ETFs just had their best day in weeks. US spot funds added about $527 million on Monday. It was the <a href=\"https:\/\/cointelegraph.com\/markets\/bitcoin-etfs-527m-inflows-biggest-since-september?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" rel=\"noopener\">largest daily intake in nearly a month<\/a>.<\/p>\n<p>The prior high was Sept. 22. That day brought about $715 million. Monday reversed Friday&#8217;s outflow of about $82 million.<\/p>\n<p>BlackRock did the work. Its iShares Bitcoin Trust pulled in about $665 million. That one fund beat the net total for the whole group.<\/p>\n<p>Fidelity and Grayscale went the other way. Fidelity&#8217;s Wise Origin Bitcoin Fund lost about $84 million. Grayscale Bitcoin Trust lost about $55 million. Other funds had no net flows.<\/p>\n<p>The bounce followed a rough stretch. Funds shed about $229 million last week. They lost about $681 million the week before that. Oct. 7 alone saw outflows of about $484 million. That was the <a href=\"https:\/\/cointelegraph.com\/markets\/bitcoin-etfs-527m-inflows-biggest-since-september?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" rel=\"noopener\">largest daily withdrawal since June<\/a>.<\/p>\n<p>October is still in the red. Even with Monday&#8217;s pop, Bitcoin ETFs sit about $88 million negative for the month.<\/p>\n<p>Ether ETFs did not join the party. US spot Ether funds lost about $103 million on Monday. BlackRock&#8217;s iShares Ethereum Trust led with about $95 million in selling. Ether funds lost about $320 million last week. That was their third straight week of net selling.<\/p>\n<p>Here&#8217;s the deal. One giant buy covered up broad weakness. That is not a broad comeback. It is a one-fund rescue.<\/p>\n<p>Think of it like a group dinner. One friend paid the whole bill. Everyone else kept their wallets shut. The bill got paid. But you would not call that shared generosity.<\/p>\n<h2>Why It Matters<\/h2>\n<p>This is a market-structure shift, not just a green day. Money moved into Bitcoin ETFs while it kept leaving Ether ETFs. That split says buyers are picking favorites.<\/p>\n<p>BlackRock matters more than the rest right now. When its IBIT buys, the total looks strong. When it pauses, the total fades fast. That focus is a risk. One fund should not carry the whole category.<\/p>\n<p>The timing also matters. Funds had two straight weeks of weekly selling. Monday broke that mood. A single strong day can reset talk on trading desks. It can also bring back buyers who were waiting on the sidelines.<\/p>\n<p>But October is still negative. About $88 million in the hole is small. Still, it shows Monday did not erase the month. It only cut the loss. Real healing needs more than one day.<\/p>\n<p>For builders and long-term holders, flows shape mood. Big inflows help confidence. They support new products and more press coverage. They do not fix weak demand elsewhere. Ether outflows show risk appetite is narrow.<\/p>\n<p>For traders, concentration is the warning. Breadth was poor. Only one Bitcoin fund bought big. Two large funds sold. The rest did nothing. That is a thin base for a rally.<\/p>\n<p>Second-order read. If BlackRock slows its buying, headline flows could flip red fast. The market learned that Monday. Watch who buys next, not just how much came in.<\/p>\n<p>If you are not watching who buys, you are watching the wrong screen.<\/p>\n<h2>Token Metrics View<\/h2>\n\t\t<style id=\"tm-token-card-styles\">\n\t\t.tm-token-card {\n\t\t\tposition: relative;\n\t\t\tmargin: 1.75em 0;\n\t\t\tpadding: 1.25em 1.4em 1.4em;\n\t\t\tbackground: #17171D;\n\t\t\tborder: 1px solid rgba(255, 214, 10, 0.18);\n\t\t\tborder-radius: 16px;\n\t\t\tcolor: #e8eaf2;\n\t\t\tfont-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, \"Helvetica Neue\", Arial, sans-serif;\n\t\t\toverflow: hidden;\n\t\t}\n\t\t.tm-token-card::before {\n\t\t\tcontent: \"\";\n\t\t\tposition: absolute;\n\t\t\ttop: 0;\n\t\t\tleft: 0;\n\t\t\twidth: 4px;\n\t\t\theight: 100%;\n\t\t\tbackground: #FFD60A;\n\t\t}\n\t\t.tm-token-card__header {\n\t\t\tdisplay: flex;\n\t\t\tflex-direction: column;\n\t\t\tgap: 0.4em;\n\t\t\tmargin-bottom: 1em;\n\t\t}\n\t\t.tm-token-card__eyebrow {\n\t\t\tmargin: 0;\n\t\t\tfont-size: 0.72em;\n\t\t\tfont-weight: 700;\n\t\t\tletter-spacing: 0.12em;\n\t\t\ttext-transform: uppercase;\n\t\t\tcolor: #FFD60A;\n\t\t}\n\t\t.tm-token-card__title {\n\t\t\tmargin: 0;\n\t\t\tdisplay: inline-flex;\n\t\t\talign-items: baseline;\n\t\t\tgap: 0.55em;\n\t\t\tflex-wrap: wrap;\n\t\t\tfont-size: 1.5em;\n\t\t\tfont-weight: 700;\n\t\t\tline-height: 1.15;\n\t\t\tcolor: #ffffff;\n\t\t\tletter-spacing: -0.01em;\n\t\t}\n\t\t.tm-token-card__name {\n\t\t\tcolor: #ffffff;\n\t\t}\n\t\t.tm-token-card__ticker {\n\t\t\tpadding: 0.2em 0.6em;\n\t\t\tbackground: rgba(255, 214, 10, 0.14);\n\t\t\tcolor: #FFD60A;\n\t\t\tfont-size: 0.55em;\n\t\t\tfont-weight: 700;\n\t\t\tletter-spacing: 0.08em;\n\t\t\tborder-radius: 999px;\n\t\t\ttext-transform: uppercase;\n\t\t\tline-height: 1;\n\t\t}\n\t\t\/* Recap theme forces `list-style-type: disc` on .entry-content ul\n\t\t * and `padding-left: 0` on every <li> via a high-specificity\n\t\t * selector chain (style.css:1872+). 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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<p>Token Metrics technicals read bearish going into this flow pop. Price sat around $82,000. It was down about 1% on the day. It was down about 2% over the past week. Market value stood near $1.6 trillion.<\/p>\n<p>Momentum sits in the middle. It is not weak enough to call washed out. It is not strong enough to call hot. Volatility is calm but not flat. Price moves have room to bite without being wild.<\/p>\n<p>Trend strength is starting to build. Yet price still trades sideways inside its recent range. It sits in the middle of that range. That mix often means choppy trade before a clearer push.<\/p>\n<p>First support sits near $79,000. Next resistance sits near $86,000. Those two lines frame the near-term fight. A hold above support keeps buyers engaged. A push through resistance would show real follow-through.<\/p>\n<p>Prediction markets lean cautious. One October contract asks if Bitcoin dips to $77,500. It is priced near 38%. That level sits about $4,300 below current price. Another asks if Bitcoin hits $87,500 in October. It is priced near 28%. That sits about $5,700 above current price. A third asks about a dip to $75,000. It is priced near 20%. That sits about $6,800 below current price.<\/p>\n<p>You can track the cautious bet in <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-dip-to-77pt5k-in-october-2026\" target=\"_blank\" rel=\"noopener\">a contract on the October dip<\/a>. You can track the upside bet in <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-reach-87pt5k-in-october-2026\" target=\"_blank\" rel=\"noopener\">a contract on the October rally<\/a>.<\/p>\n<p>The takeaway is simple. Flows turned up for a day. Price and bets have not turned yet. Token Metrics Daily Pulse tags this as a market snapshot. It is a data point, not a trend change.<\/p>\n<p>Smart money often waits for proof. One day of ETF buying is a start. It needs breadth and price follow-through to count.<\/p>\n\t\t<aside\n\t\tclass=\"tm-token-stats\"\n\t\tdata-tm-token-stats\n\t\tdata-tm-stats-id=\"bitcoin\"\n\t\tdata-tm-stats-lookback=\"365\"\n\t\taria-label=\"Bitcoin key statistics\"\n\t>\n\t\t<header class=\"tm-token-stats__header\">\n\t\t\t<h3 class=\"tm-token-stats__title\">Bitcoin \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 Bitcoin (BTC) with Token Metrics\"\n\t\tdata-tm-token-card=\"btc\"\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\">Bitcoin<\/span>\n\t\t\t\t<span class=\"tm-token-card__ticker\">BTC<\/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_btc#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>Market Context<\/h2>\n<p>This story fits the adoption signal bucket with a market-structure twist. ETFs let you buy Bitcoin through a normal brokerage account. That rail keeps growing. It now drives daily mood for Bitcoin.<\/p>\n<p>History helps here. Spot Bitcoin ETFs launched with huge fanfare. Early weeks brought loud inflows and loud headlines. Then flows settled into waves. Big inflow days often cluster near price bounces. Big outflow days often cluster near scares.<\/p>\n<p>October shows that wave pattern again. Oct. 7 saw about $484 million leave. That was the worst day since June. Last week lost about $229 million. The week before lost about $681 million. Monday&#8217;s gain broke the slide but did not erase it.<\/p>\n<p>Bitcoin and Ether are splitting. Bitcoin funds just posted a strong day. Ether funds lost about $103 million the same day. Ether funds also lost about $320 million last week. That marks three straight weeks of selling for Ether.<\/p>\n<p>That split is common when buyers get picky. They stick with the biggest coin first. They wait to add risk elsewhere. It does not mean Ether is broken. It means demand is narrow right now.<\/p>\n<p>The rail this strengthens is clear. It is exchanges and custody through regulated funds. ETFs hold real Bitcoin with a custodian. Brokers handle the buying and selling. That path suits big buyers and retirement accounts. It lowers hassle but adds focus risk around a few large funds.<\/p>\n<p>No historical analogs were supplied with this story. So we keep the lens tight. The facts alone show a market leaning on one buyer to hold up the total.<\/p>\n<h2>Risks to Watch<\/h2>\n<p>Concentration risk leads the list. One fund drove the whole gain. If BlackRock pauses, net flows can turn red again. Watch daily splits by fund, not just the headline total.<\/p>\n<p>October staying negative is another flag. The month sits about $88 million in the hole. One more soft day could wipe out Monday&#8217;s progress. Two more strong days would flip the month green.<\/p>\n<p>Ether weakness could spill over. Ether ETFs lost for three straight weeks. If that selling spreads, broad crypto mood could sour. Bitcoin rarely rallies alone for long when peers keep falling.<\/p>\n<p>Price levels give a clean check. First support sits near $79,000. A drop toward that line would test buyer resolve. Next resistance sits near $86,000. Failure there would hint that ETF buying lacks price power.<\/p>\n<p>What would make this matter less. Broad buying across many funds would help. But we did not see that. Most funds did nothing. Two large funds sold. That narrow base keeps the headline fragile.<\/p>\n<p>What would change the read. Back-to-back inflow days would matter. Buying from funds beyond BlackRock would matter more. A price push with volume would seal it. Without those, Monday looks like noise with a big logo on it.<\/p>\n<h2>What to Watch Next<\/h2>\n<ul>\n<li>Daily ETF splits by fund. Look for Fidelity and Grayscale to stop selling. Look for smaller funds to join with fresh buying.<\/li>\n<li>October monthly total. Watch if the month flips from about $88 million negative to positive. That needs one or two more solid inflow days.<\/li>\n<li>Ether ETF flows. Watch if daily selling slows from about $103 million. Three straight weekly losses need to end to help broad mood.<\/li>\n<li>Price response near $79,000 and $86,000. Watch if Bitcoin holds support on soft flow days. Watch if it can test resistance on strong flow days.<\/li>\n<li>This is context, not advice. Flows are one clue among many. Do your own homework before you act.<\/li>\n<\/ul>\n<h2>Sources \/ Data Used<\/h2>\n<ul>\n<li><a href=\"https:\/\/cointelegraph.com\/markets\/bitcoin-etfs-527m-inflows-biggest-since-september?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" rel=\"noopener\">Bitcoin ETF inflows and outflows breakdown<\/a><\/li>\n<li>Token Metrics data used: spot price and 24h and 7d move, market cap, plain-English technicals with support and resistance, Polymarket October price contracts, Daily Pulse market snapshot tag.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"US spot Bitcoin ETFs pulled in about $527 million on Monday, the best day in nearly a month. BlackRock did all the heavy lifting while Fidelity and Grayscale saw selling. Here is why that split matters.","protected":false},"author":1,"featured_media":7468,"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_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[165,158],"tags":[33,203,176,32,442],"sections":[183],"entities":[188],"class_list":["post-7469","post","type-post","status-publish","format-standard","has-post-thumbnail","category-btc","category-news","tag-bitcoin","tag-blackrock","tag-etf","tag-ethereum","tag-flows","section-news","entity-btc","cs-entry","cs-video-wrap"],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/tokenmetrics.com\/blog\/wp-content\/uploads\/2026\/10\/bitcoin-etfs-527m-inflows-biggest-since-september-featured.webp","_links":{"self":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/7469","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=7469"}],"version-history":[{"count":0,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/7469\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media\/7468"}],"wp:attachment":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media?parent=7469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/categories?post=7469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/tags?post=7469"},{"taxonomy":"section","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/sections?post=7469"},{"taxonomy":"entity","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/entities?post=7469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}