{"id":7735,"date":"2026-11-04T14:12:19","date_gmt":"2026-11-04T14:12:19","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/analysts-reacting-new-blue-congress\/"},"modified":"2026-11-04T14:12:19","modified_gmt":"2026-11-04T14:12:19","slug":"analysts-reacting-new-blue-congress","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/btc\/news\/analysts-reacting-new-blue-congress\/","title":{"rendered":"Democrats Sweep Congress as Bitcoin Holds $78K, Polymarket Sees $80K"},"content":{"rendered":"<h2>Signal Snapshot<\/h2>\n<ul>\n<li>Democrats won both chambers of Congress overnight in the U.S. midterms. It was a sharp loss for President Donald Trump and his party.<\/li>\n<li>Bitcoin held well above $78k after dipping below $76k in Asian trading. It was up about 1% since midnight UTC.<\/li>\n<li>Nasdaq futures rose nearly 1% after falling more than 2% earlier. Gold gained nearly 3% on the same relief mood.<\/li>\n<li>The Dollar Index fell about half a percent to its lowest since Sept. 29. Calm returned once vote doubt cleared.<\/li>\n<li>Token Metrics data show Bitcoin near $78k and down about 3% on the week. Polymarket traders still see high odds of $80k in November.<\/li>\n<\/ul>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li>Democrats took full control of Congress in the midterms. That sets up split rule for Trump&#8217;s last two years.<\/li>\n<li>Markets bounced on relief as vote doubt cleared. Bitcoin, stocks and gold all moved up together.<\/li>\n<li>The real read is less new law risk near term. Watch spending fights, probes and the Fed path instead.<\/li>\n<\/ul>\n<h2>What Happened<\/h2>\n<p>Democrats swept the U.S. midterms overnight. They won control of both chambers of Congress. The result was a sharp blow to President Donald Trump. He now faces split rule in his final two years. The story ran as <a href=\"https:\/\/www.coindesk.com\/daybook-us\/2026\/11\/04\/here-s-how-analysts-are-reacting-to-the-new-blue-congress\" target=\"_blank\" rel=\"noopener\">your day-ahead look for Nov. 4<\/a>. It pulled early analyst views on markets and the rest of his term. The piece was written for Nov. 4, 2026. It was framed as a day ahead read. Markets staged a classic relief bounce. Doubt cleared and buyers stepped back in. Bitcoin traded well above $78k. It was up about 1% since midnight UTC. That came after a dip below $76k in Asian trading. Nasdaq futures rose nearly 1%. That followed a drop of more than 2% earlier. Gold gained nearly 3%. The Dollar Index fell about half a percent. It touched its lowest since Sept. 29. Other coins were mixed but calm. Ether traded around $2,300 and was up about 2%. XRP sat near $1.28 and was about flat. Solana held near $93 and was down slightly. Hype held near $85 and was about flat. Tron sat near 31 cents and slipped a bit. The mood was relief first and detail next. Analysts now turn to what blue control means. They focus on stocks, rates and crypto mood. They do not yet point to one new law. They point to less doubt for now.<\/p>\n<h2>Why It Matters<\/h2>\n<p>Split rule changes the math in D.C. Big new laws get harder to pass. That can calm markets in the short run. Less surprise means less fear. That is why you saw a relief bounce. It was not love for one party. It was hate for doubt. For crypto, the path is more muted. Fast market-moving bills are less likely now. Oversight and court fights matter more. Spending talks can still shake risk mood. A tight Dollar and firm gold show that fear did not fully leave. Bitcoin held up while alts lagged. That hints at a flight to the biggest coin. If stocks keep calm, crypto can breathe. If fights heat up, calm can fade fast. Think of it like a pause button. New rules slow down for a bit. Old fights get louder instead. Traders should watch tone in D.C. Tone can move price before text does. A calm tone helps risk. A harsh tone hurts it. That is the second order read. First order is who won. Second order is what can still pass. Right now, less can pass. So macro leads more than party labels.<\/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 this as one of its main items. That means it stood out in daily flow. Price sat near $78k at the read. It was up about 1% on the day. It was down about 3% on the week. Market value stood near $1.6 trillion. The week dip plus the day bounce tells a clear tale. Sellers pushed last week. Buyers stepped back after votes cleared. A $1.6 trillion value keeps Bitcoin as the anchor. Moves there set tone for rest of crypto. Day up but week down means trend is still healing. It is not yet a fresh run. It is a bounce inside a soft week. The most telling read comes from prediction markets. A <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-reach-80k-in-november-2026\" target=\"_blank\" rel=\"noopener\">market on Bitcoin hitting $80k in November<\/a> priced odds near 82%. That is only about $1,800 above spot. A second <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-dip-to-75k-in-november-2026\" target=\"_blank\" rel=\"noopener\">market on Bitcoin dipping to $75k in November<\/a> priced odds near 64%. That is about $3,200 below spot. A third <a href=\"https:\/\/polymarket.com\/market\/will-bitcoin-dip-to-65k-in-november-2026\" target=\"_blank\" rel=\"noopener\">market on Bitcoin dipping to $65k in November<\/a> priced odds near 12%. That is far below spot at about $13,200 down. Taken together, traders see both sides. They lean to more upside soon but still price a retest. That split fits a relief bounce. Hope is back but fear has not left. For an investor, that mix calls for patience. Watch if spot holds gains. Watch if odds stay high. If both hold, mood is firm. If either slips, bounce talk fades.<\/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 is a macro shock, not a coin story. Votes changed who holds power. Markets had to reprice that fast. That is why stocks, gold, the dollar and Bitcoin all moved at once. Relief bounces are common after big votes. Doubt leaves and cash moves back in. What matters now is follow through. Does calm hold for days or fade in hours? Blue control of both chambers points to split rule. Split rule often means fewer big laws. It can mean more probes and more noise. For Bitcoin, that backdrop is neutral to soft. Less law shock helps mood. But macro still leads price. Watch real rates and the dollar more than party labels. Gold strength shows some fear bid stayed. Dollar softness helped risk breathe. Bitcoin acted more like risk than refuge. It rose with futures, not apart from them. That link matters for next moves. If risk holds, Bitcoin can hold. If risk rolls, Bitcoin may roll too. No prior analog is cited here. The read rests on this vote and this price tape alone.<\/p>\n<h2>Risks to Watch<\/h2>\n<ul>\n<li><strong>Gridlock bets:<\/strong> Split rule does not mean calm rule. Spending fights can still spook stocks and crypto.<\/li>\n<li><strong>Policy noise:<\/strong> Probes and court fights can drive headlines. Headlines can move short term mood fast.<\/li>\n<li><strong>Macro turn:<\/strong> Gold up and dollar down helped risk. If that flips, the relief bounce can fade.<\/li>\n<\/ul>\n<p>This story matters less if follow through fades. If stocks give back gains and Bitcoin slips with them, it was just a one day bounce. Then party control meant little for price.<\/p>\n<h2>What to Watch Next<\/h2>\n<ul>\n<li>Watch if Bitcoin holds above $78k through the U.S. close. A hold means buyers mean it.<\/li>\n<li>Watch Nasdaq futures into the cash open. Strength there backs risk mood.<\/li>\n<li>Watch gold and the dollar for a flip. A firm dollar can press Bitcoin.<\/li>\n<li>Watch for first House and Senate plans on spending. Dates and votes move more than talk.<\/li>\n<\/ul>\n<p>This is context only, not advice. Do your own work and know the risks.<\/p>\n<h2>Sources \/ Data Used<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.coindesk.com\/daybook-us\/2026\/11\/04\/here-s-how-analysts-are-reacting-to-the-new-blue-congress\" target=\"_blank\" rel=\"noopener\">CoinDesk Daybook on blue Congress market reaction<\/a><\/li>\n<li>Token Metrics signal data: BTC spot price and day and week moves, market value, Daily Pulse main items tag, and three Polymarket November markets.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"Democrats swept both chambers of Congress overnight. Markets bounced on relief as Bitcoin held above $78,000. 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