{"id":7802,"date":"2026-11-10T14:06:52","date_gmt":"2026-11-10T14:06:52","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/bitcoin-breaks-stocks-etf-outflows-mara-sells-holdings\/"},"modified":"2026-11-10T14:06:52","modified_gmt":"2026-11-10T14:06:52","slug":"bitcoin-breaks-stocks-etf-outflows-mara-sells-holdings","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/btc\/news\/bitcoin-breaks-stocks-etf-outflows-mara-sells-holdings\/","title":{"rendered":"Bitcoin Lags Stocks as ETF Outflows Mount, Polymarket Sees 80% Dip Odds"},"content":{"rendered":"<p>Bitcoin stopped following stocks as ETF selling and miner supply took over.<\/p>\n<h2>Signal Snapshot<\/h2>\n<ul>\n<li>Actor: Bitcoin broke from stocks on Monday. Stocks jumped while BTC sat still.<\/li>\n<li>Price: BTC held near $74,000. It fell about 1% on the day. It is down about 4% on the week.<\/li>\n<li>Flows: Spot bitcoin ETFs lost about $201 million on Monday. Total outflows since Nov. 2 sit near $1.5 billion.<\/li>\n<li>Supply: MARA sold 13,597 BTC for about $1.1 billion in six weeks. It plans to sell more.<\/li>\n<li>Mood and risk: Retail interest looks thin. More redemptions could keep BTC soft even if stocks rise.<\/li>\n<\/ul>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li>Bitcoin stayed flat while the S&amp;P 500 posted its best day since April 8 and the Nasdaq rose 2.7%.<\/li>\n<li>Spot ETF outflows and fresh miner selling explain the split better than macro news alone.<\/li>\n<li>For investors, the read is supply versus demand. Flows and miner sales now matter more than stock moves.<\/li>\n<\/ul>\n<h2>What Happened<\/h2>\n<p>Bitcoin tracked Nasdaq futures for weeks. Both fell together on Oct. 30. Both fell again during last week AI-led selloff.<\/p>\n<p>That link broke on Monday. The S&amp;P 500 posted its best day since April 8. The Nasdaq Composite rose 2.7%. Bitcoin did not follow.<\/p>\n<p>It was down about 1% since midnight UTC. It was little changed over the past 24 hours. Price held near $74,000.<\/p>\n<p>Flows help explain the gap. <a href=\"https:\/\/www.coindesk.com\/daybook-us\/2026\/11\/10\/bitcoin-breaks-with-stocks-declines-as-etf-outflows-mount-mara-sells-holdings\" target=\"_blank\" rel=\"noopener\">spot bitcoin ETFs lost<\/a> about $201 million on Monday. The data comes from Farside Investors.<\/p>\n<p>Outflows since Nov. 2 now sit near $1.5 billion. The funds are down about $1.1 billion so far this year. That compares with more than $20 billion of net inflows in each of the past two years.<\/p>\n<p>BlackRock IBIT has now posted seven straight sessions of redemptions. Supply is also rising. MARA Holdings sold 13,597 BTC for about $1.1 billion in the past six weeks. It says it plans to sell more.<\/p>\n<p>Retail interest looks thin too. That leaves fewer natural buyers when ETFs and miners sell. It also means small sell orders can move price more than usual.<\/p>\n<p>The break matters because BTC had acted like a high risk stock for weeks. On Monday it acted like its own market. Stocks looked strong. Crypto looked tired.<\/p>\n<p>Traders often watch this kind of split. It can signal stress in crypto demand. It can also signal a short term lag that later closes. The next flow reports will help tell which one it is.<\/p>\n<p>For now, the facts are simple. Stocks bounced. Bitcoin did not. ETFs saw redemptions. A large miner sold. Retail did not step in.<\/p>\n<h2>Why It Matters<\/h2>\n<p>First level thinking says Bitcoin should rise with stocks. Stocks rose sharply. So Bitcoin should rise too. That did not happen.<\/p>\n<p>Second level thinking asks who must sell even on a green day. ETF holders were selling. A miner was selling. Retail was quiet. That mix can hold price down.<\/p>\n<p>ETF flows matter because they show real demand through brokerage accounts. When those funds lose cash, it means sellers beat buyers that day. Seven straight days of selling from the largest fund adds weight.<\/p>\n<p>Miner sales matter for a different reason. Miners earn BTC by running machines. When they sell, new coins hit the market. MARA sold 13,597 BTC in six weeks. That is about $1.1 billion of supply. Plans to sell more keep that pressure alive.<\/p>\n<p>Thin retail interest makes both forces stronger. Fewer small buyers means less cushion. It does not mean price must fall. It means dips can last longer.<\/p>\n<p>The split also changes how to read risk. If BTC moves with stocks, one screen tells the story. If it moves on its own flows, investors need to watch fund flows and miner news too.<\/p>\n<p>This does not prove a long break from stocks. One day is only one day. But it shows crypto can lag even on the best stock day in months. That is useful context for anyone holding BTC through stock rallies.<\/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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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\t\/\/ The header reads the CoinMarketCap quote only. A missing price or\n\t\t\/\/ 24h change stays `\u2014` instead of being derived or set to zero.\n\t\tfunction updateQuote(figure, quote) {\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) { return; }\n\t\t\tvar price = quote && typeof quote.price === 'number' && isFinite(quote.price) && quote.price > 0 ? quote.price : null;\n\t\t\tvar pct = quote && typeof quote.percentChange24h === 'number' && isFinite(quote.percentChange24h) ? quote.percentChange24h : null;\n\t\t\tpriceEl.textContent = price === null ? '\u2014' : formatPrice(price);\n\t\t\tchangeEl.classList.remove('tm-tv-chart__change--up', 'tm-tv-chart__change--down');\n\t\t\tif (price === null || pct === null || pct <= -100) { changeEl.textContent = '\u2014'; return; }\n\t\t\tvar changeAbs = price - price \/ (1 + pct \/ 100);\n\t\t\tchangeEl.textContent = formatChangeAbs(changeAbs) + ' (' + (pct >= 0 ? '+' : '\u2212') + Math.abs(pct).toFixed(2) + '%)';\n\t\t\tif (pct > 0) { changeEl.classList.add('tm-tv-chart__change--up'); }\n\t\t\telse if (pct < 0) { changeEl.classList.add('tm-tv-chart__change--down'); }\n\t\t}\n\n\t\t\/\/ Builds the plotted series: CoinMarketCap daily closes inside the\n\t\t\/\/ requested window, plus the latest quote as the final point when it\n\t\t\/\/ is newer than the last close.\n\t\tfunction chartSeries(body, days) {\n\t\t\tvar closes = body && Array.isArray(body.closes) ? body.closes : [];\n\t\t\tvar cutoff = Date.now() - days * 86400000;\n\t\t\tvar data = [];\n\t\t\tfor (var i = 0; i < closes.length; i++) {\n\t\t\t\tvar row = closes[i];\n\t\t\t\tif (!Array.isArray(row) || row[0] < cutoff) { continue; }\n\t\t\t\tvar v = Number(row[1]);\n\t\t\t\tif (isFinite(v) && v > 0) { data.push({ time: Math.floor(row[0] \/ 1000), value: v }); }\n\t\t\t}\n\t\t\tvar q = body && body.quote;\n\t\t\tvar qTime = q && q.lastUpdated ? Date.parse(q.lastUpdated) : NaN;\n\t\t\tif (q && typeof q.price === 'number' && q.price > 0 && isFinite(qTime)) {\n\t\t\t\tvar qSec = Math.floor(qTime \/ 1000);\n\t\t\t\tif (data.length === 0 || qSec > data[data.length - 1].time) { data.push({ time: qSec, value: q.price }); }\n\t\t\t}\n\t\t\treturn data;\n\t\t}\n\n\t\tfunction fetchToken(coinId) {\n\t\t\tvar url = PROXY_BASE + '\/cmc\/token\/' + encodeURIComponent(coinId);\n\t\t\treturn fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { throw new Error('market data ' + r.status); }\n\t\t\t\treturn r.json();\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 data fetch resolves successfully. The earlier flow set\n\t\t\t\/\/ the flag before the await, so a single failed fetch\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\tfetchToken(coinId).then(function (body) {\n\t\t\t\tupdateQuote(figure, body && body.quote);\n\t\t\t\tvar data = chartSeries(body, parseInt(days, 10) || 14);\n\t\t\t\tif (data.length < 2) {\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\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 failed proxy call 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 flags a fresh near term driver for BTC. The driver is the return of spot ETF creation and redemption activity after the weekend selloff. Traders say it could decide if BTC regains pace. The window is in about a day.<\/p>\n<p>That fits what we just saw. Monday brought about $201 million of outflows. The year to date total is now down about $1.1 billion. After two years with more than $20 billion of net inflows each year, that shift stands out.<\/p>\n<p>Price action backs the soft tone. Token Metrics shows BTC near $74,000. It is down about 1% on the day. It is down about 4% over the past week. Total market value sits near $1.5 trillion.<\/p>\n<p>Polymarket traders are leaning toward more downside soon. One contract asks if BTC will dip to $72,500 in November. It is priced near 80%. That level sits about $1,200 below current price.<\/p>\n<p>A second contract asks about $70,000. <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-dip-to-70k-in-november-2026\" target=\"_blank\" rel=\"noopener\">dip odds for $70,000<\/a> sit near 56%. That level sits about $3,700 below current price.<\/p>\n<p>A third contract asks about $67,500. <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-dip-to-67pt5k-in-november-2026\" target=\"_blank\" rel=\"noopener\">dip odds for $67,500<\/a> sit near 33%. That level sits about $6,200 below current price. All three end on Dec. 1.<\/p>\n<p>You can track the front runner here: <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-dip-to-72pt5k-in-november-2026\" target=\"_blank\" rel=\"noopener\">dip odds for $72,500<\/a>. High odds do not mean it must happen. They show where short term bets are leaning.<\/p>\n<p>Token Metrics Daily Pulse flagged this story as a lead change. That means it stood out from routine market noise. In plain terms, the stock link broke and flows took the lead.<\/p>\n<p>Put together, the view is clear. Demand through ETFs is weak right now. Supply from miners is up. Bets lean toward a small dip. The next round of ETF activity could change that read fast.<\/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 CoinMarketCap. 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's CoinMarketCap\n\t\t\/\/ route. Base URL is resolved server-side so staging can point at\n\t\t\/\/ a separate Worker.\n\t\tvar PROXY_BASE = \"https:\\\/\\\/tokenmetrics.com\\\/api\\\/cg\";\n\t\tvar DAYS_PER_YEAR = 365;\n\t\tvar DAY_MS = 86400000;\n\t\tvar tokenCache = {};\n\t\t\/\/ Resolves to the Worker body, or null when the token is\n\t\t\/\/ unsupported or the provider is unavailable.\n\t\tfunction fetchToken(id) {\n\t\t\tif (tokenCache[id]) { return tokenCache[id]; }\n\t\t\tvar url = PROXY_BASE + '\/cmc\/token\/' + encodeURIComponent(id);\n\t\t\ttokenCache[id] = fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { return null; }\n\t\t\t\treturn r.json();\n\t\t\t}).catch(function () { return null; });\n\t\t\treturn tokenCache[id];\n\t\t}\n\t\tfunction closesWithin(body, days) {\n\t\t\tvar closes = body && Array.isArray(body.closes) ? body.closes : [];\n\t\t\tvar cutoff = Date.now() - days * DAY_MS;\n\t\t\tvar out = [];\n\t\t\tfor (var i = 0; i < closes.length; i++) {\n\t\t\t\tvar row = closes[i];\n\t\t\t\tif (Array.isArray(row) && row[0] >= cutoff && isFinite(row[1]) && row[1] > 0) { out.push(row); }\n\t\t\t}\n\t\t\treturn out;\n\t\t}\n\t\tfunction finiteOrNull(value) {\n\t\t\treturn typeof value === 'number' && isFinite(value) ? value : null;\n\t\t}\n\t\t\/\/ A 1y change needs closes that actually reach back a year; a\n\t\t\/\/ shorter history renders `\u2014` instead of a mislabelled return.\n\t\tfunction oneYearReturn(body) {\n\t\t\tvar year = closesWithin(body, DAYS_PER_YEAR + 1);\n\t\t\tif (year.length < 2) { return null; }\n\t\t\tif (year[year.length - 1][0] - year[0][0] < (DAYS_PER_YEAR - 7) * DAY_MS) { return null; }\n\t\t\treturn totalReturn(year);\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\tvar days = Math.max(30, Math.min(DAYS_PER_YEAR, parseInt(lookback, 10) || DAYS_PER_YEAR));\n\t\t\tPromise.all([\n\t\t\t\tfetchToken(coinId),\n\t\t\t\tfetchToken('bitcoin')\n\t\t\t]).then(function (results) {\n\t\t\t\tvar token = results[0]; var btc = results[1];\n\t\t\t\tif (!token) { return; }\n\t\t\t\tvar prices = closesWithin(token, days);\n\t\t\t\tvar btcPrices = closesWithin(btc, days);\n\t\t\t\tvar q = token.quote || {};\n\t\t\t\tvar mcap = finiteOrNull(q.marketCap);\n\t\t\t\tvar vol = finiteOrNull(q.volume24h);\n\t\t\t\tsetCell(root, 'market-cap', fmtCompactUsd(mcap));\n\t\t\t\tvar turnoverText = '\u2014';\n\t\t\t\tif (vol !== null && mcap !== null && mcap > 0) {\n\t\t\t\t\tturnoverText = fmtCompactUsd(vol) + ' (' + ((vol \/ mcap) * 100).toFixed(2) + '%)';\n\t\t\t\t} else if (vol !== null) { turnoverText = fmtCompactUsd(vol); }\n\t\t\t\tsetCell(root, 'turnover', turnoverText);\n\t\t\t\tif (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 = finiteOrNull(q.price) || 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\tvar change30d = finiteOrNull(q.percentChange30d);\n\t\t\t\tsetCell(root, 'change-30d', fmtPct(change30d), trendOf(change30d));\n\t\t\t\tvar ret1y = oneYearReturn(token);\n\t\t\t\tvar change1y = ret1y === null ? null : ret1y * 100;\n\t\t\t\tsetCell(root, 'change-1y', fmtPct(change1y), trendOf(change1y));\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:\/\/app.tokenmetrics.com\/?utm_source=blog&#038;utm_medium=news_article&#038;utm_campaign=news_cta&#038;utm_content=btc\" rel=\"noopener\" target=\"_blank\">Open the Token Metrics app \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 is a market-structure shift. That means how BTC trades changed. It stopped moving with stocks. It started moving on crypto flows and miner supply.<\/p>\n<p>Liquidity is the core here. ETF redemptions pull cash from BTC. Miner sales add coins to the market. Thin retail means fewer buyers to absorb both. That mix can mute a rally.<\/p>\n<p>Regulation is not the driver in this story. No new rules are cited. No court order is cited. This is about buyers and sellers, not about the rules.<\/p>\n<p>Adoption signals look mixed. Past years brought more than $20 billion of net inflows each year through spot ETFs. That showed strong demand through normal brokerage accounts. This year to date shows a small net outflow of about $1.1 billion. That is a clear change in pace.<\/p>\n<p>Macro still matters in the background. Stocks just had a strong day. The S&amp;P 500 had its best day since April 8. The Nasdaq rose 2.7%. In recent weeks BTC rose and fell with those moves. It fell on Oct. 30 with futures. It fell again in the AI-led selloff. Monday broke that pattern.<\/p>\n<p>Sentiment looks cautious. Seven straight redemption days for the largest fund weighs on mood. A large miner selling into soft demand adds more caution. Thin retail adds to it.<\/p>\n<p>No prior analogs were supplied for this brief. So we do not force a past case. The key context is in the numbers we have. Strong past ETF demand met current ETF selling. That turn explains much of the soft price action.<\/p>\n<p>For builders, little changes today. The network keeps running. For traders, much changes. The screen to watch shifts from stock futures to ETF flow tables and miner reports.<\/p>\n<h2>Risks to Watch<\/h2>\n<ul>\n<li><strong>ETF flows:<\/strong> Daily redemptions can persist. More outflows would keep pressure on price.<\/li>\n<li><strong>Miner supply:<\/strong> MARA plans to sell more. New miner sales would add fresh coins to a soft market.<\/li>\n<li><strong>Retail demand:<\/strong> Small buyers look thin. If they stay away, rebounds may stall fast.<\/li>\n<li><strong>Stock link:<\/strong> BTC could rejoin stocks or stay split. A rejoin would bring macro back to the front.<\/li>\n<\/ul>\n<p>What would make this matter less is simple. Strong ETF inflows for two or three days would change the read. A pause in miner selling would help too. A BTC bounce while stocks hold firm would suggest Monday was mostly noise.<\/p>\n<h2>What to Watch Next<\/h2>\n<ul>\n<li>Watch the next daily ETF flow update. Look for net inflows versus more redemptions.<\/li>\n<li>Watch BlackRock IBIT streak. Look for the first green day after seven red days.<\/li>\n<li>Watch MARA disclosures. Look for new sale amounts or a pause in selling.<\/li>\n<li>Watch BTC versus Nasdaq. Look if BTC lags again on a green stock day.<\/li>\n<li>Watch Polymarket dip odds for November. Look if 80% odds for $72,500 fade or grow.<\/li>\n<\/ul>\n<p>This is for information only. It is not investment advice.<\/p>\n<h2>Sources \/ Data Used<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.coindesk.com\/daybook-us\/2026\/11\/10\/bitcoin-breaks-with-stocks-declines-as-etf-outflows-mount-mara-sells-holdings\" target=\"_blank\" rel=\"noopener\">Bitcoin breaks with stocks report<\/a><\/li>\n<li>Token Metrics signal-stack data: spot price and weekly move, ETF catalyst note, Polymarket dip odds, Daily Pulse lead-change flag.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"Bitcoin stopped tracking stocks on Monday as spot ETFs bled cash and miner MARA kept selling. 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