{"id":7737,"date":"2026-11-04T14:13:06","date_gmt":"2026-11-04T14:13:06","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/bitcoin-stocks-reverse-overnight-plunge-blue-wave-landslide\/"},"modified":"2026-11-04T14:13:06","modified_gmt":"2026-11-04T14:13:06","slug":"bitcoin-stocks-reverse-overnight-plunge-blue-wave-landslide","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/btc\/news\/bitcoin-stocks-reverse-overnight-plunge-blue-wave-landslide\/","title":{"rendered":"Bitcoin Holds Near $78k as Circle Posts Q3 Results, Polymarket Sees 83% Odds of $80k"},"content":{"rendered":"<h2>Signal Snapshot<\/h2>\n<ul>\n<li>Bitcoin bounced after election night fear faded and morning buyers returned.<\/li>\n<li>Bitcoin traded near $78,000 and was up about 1% on the day, after falling overnight.<\/li>\n<li>Ether traded near $2,300 and was up about 1% while the CoinDesk 20 held near $2,100.<\/li>\n<li>The biggest early losers were AI data center stocks after candidates who opposed them won.<\/li>\n<li><strong>Top risk:<\/strong> fresh selling if election bets fall apart and tech weakness spreads.<\/li>\n<\/ul>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li>Bitcoin fell overnight on election fear, then bounced near $78,000 by morning Eastern time.<\/li>\n<li>Circle posted third quarter results in the same live blog that covered the market bounce.<\/li>\n<li>The real read is price versus politics. Coins fell with stocks, then split by morning.<\/li>\n<\/ul>\n<h2>What Happened<\/h2>\n<p>Election fear hit overnight. Morning brought a bounce. The <a href=\"https:\/\/www.coindesk.com\/tech\/2026\/11\/04\/live-updates-bitcoin-and-stocks-reverse-overnight-plunge-following-blue-wave-landslide\" target=\"_blank\" rel=\"noopener\">overnight market reversal<\/a> erased early losses for Bitcoin and stocks. Bitcoin traded near $78,000 and was up about 1% on the day. Ether traded near $2,300 and was up about 1%. XRP held near $1.28 and was up a fraction of a percent. Solana slipped to about $93 and was down about 1%. The CoinDesk 20 index held near $2,100 and was up about 1%.<\/p>\n<p>Circle detailed <a href=\"https:\/\/www.coindesk.com\/tech\/2026\/11\/04\/live-updates-bitcoin-and-stocks-reverse-overnight-plunge-following-blue-wave-landslide\" target=\"_blank\" rel=\"noopener\">strong third quarter results<\/a> in the same live blog. The update landed at about 9 in the morning Eastern time. It framed the day as a Blue Wave landslide that first scared markets, then saw buyers return. The early losers were AI data center stocks after wins by candidates who opposed them.<\/p>\n<h2>Why It Matters<\/h2>\n<p>This is a company event wrapped in a macro shock. Votes moved stocks and coins overnight. Earnings from Circle landed at the same time. That mix matters for two reasons. Price tells fear. Bitcoin shows fear fading fast after the overnight drop.<\/p>\n<p>For traders, the split market matters. Bitcoin and Ether bounced. Solana lagged. AI data center names lagged more. That split shows politics can hit some stocks harder than coins. Stablecoin issuers earn from cash and bonds behind the coin. Lower yields can squeeze profit even when activity moves. Price chops while settlement demand stays in focus.<\/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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'+' : '\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 Bitcoin. The driver is tied to Nov. 3. It centers on a large exchange withdrawal and reserve report after the Oct. 30 hack. That event shook trust. It also hit fund flows. Traders still watch if trust fully returns. Polymarket consensus leans to more upside this month. Traders see near 83% odds Bitcoin hits $80,000 in November. That target sits about $1,800 above current price. They also see near 65% odds Bitcoin dips to $75,000 in November. That level sits about $3,200 below current price. They see near 13% odds for a dip to $65,000. That level sits about $13,200 below current price. The two sided pricing fits a choppy tape. Wait for direction. Spot price sits near $78,000. It is up about 1% on the day. It is down about 3% over the past week. Market value sits near $1.57 trillion. That size keeps Bitcoin as the anchor for risk. Daily Pulse coverage lists this as one of the main items. That means Token Metrics sees it as a day driver, not background noise. The take for investors is calm. Watch flows after the hack news. Watch if $80,000 bets hold firm. Watch if dip bets grow.<\/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:\/\/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 fits macro and sentiment. Macro drove the overnight drop and morning bounce. Sentiment swung on election results. No prior analogs were supplied for this piece. So we stick to what changed now. Election wins hit AI data center stocks first. Coins fell with stocks overnight. Coins then split by morning. Bitcoin and Ether turned green. Solana stayed soft. That split is common after a scare. Leaders bounce first. Laggards need more time.<\/p>\n<p>Circle gives the why now. Third quarter numbers landed the same morning as the bounce. That timing put an earnings story inside a macro move. Traders had to weigh election fear against a steady company update. The live blog framed both together. That framing explains why morning coverage mixed stock losses with coin gains.<\/p>\n<h2>Risks to Watch<\/h2>\n<ul>\n<li><strong>Rates:<\/strong> If reserve yields fall further, issuer profit can shrink even if activity stays high.<\/li>\n<li><strong>Trust:<\/strong> If hack fallout spreads, withdrawals can pick up and fund flows can slow.<\/li>\n<li><strong>Politics:<\/strong> If new winners push against data centers, tech stocks can drag coins again.<\/li>\n<\/ul>\n<p>This matters less if Bitcoin holds gains. Then the overnight drop looks like noise and the earnings look like trend.<\/p>\n<h2>What to Watch Next<\/h2>\n<ul>\n<li>Bitcoin holds near $78,000 or slips back in the next daily closes.<\/li>\n<li>AI data center stocks stabilize or keep falling after the election wins.<\/li>\n<li>This is context only, not investing advice.<\/li>\n<\/ul>\n<h2>Sources \/ Data Used<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.coindesk.com\/tech\/2026\/11\/04\/live-updates-bitcoin-and-stocks-reverse-overnight-plunge-following-blue-wave-landslide\" target=\"_blank\" rel=\"noopener\">live coverage of the market reversal and Circle results<\/a><\/li>\n<li>Token Metrics signal data for Bitcoin as of Nov. 4, including spot price, Polymarket consensus and Daily Pulse classification.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"Bitcoin bounced near $78,000 after an overnight slide on election results as Circle posted third quarter results in the same live update this morning today.","protected":false},"author":1,"featured_media":7736,"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":[33,175,200,426,455,223],"sections":[183],"entities":[188],"class_list":["post-7737","post","type-post","status-publish","format-standard","has-post-thumbnail","category-btc","category-news","tag-bitcoin","tag-circle","tag-macro","tag-markets","tag-stablecoins","tag-usdc","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\/11\/bitcoin-stocks-reverse-overnight-plunge-blue-wave-landslide-featured.webp","_links":{"self":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/7737","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=7737"}],"version-history":[{"count":0,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/7737\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media\/7736"}],"wp:attachment":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media?parent=7737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/categories?post=7737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/tags?post=7737"},{"taxonomy":"section","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/sections?post=7737"},{"taxonomy":"entity","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/entities?post=7737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}