{"id":2732,"date":"2026-06-12T11:41:13","date_gmt":"2026-06-12T11:41:13","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/token-metrics-bitcoin-bullish-monero-spikes-438-laundering\/"},"modified":"2026-06-19T01:49:36","modified_gmt":"2026-06-19T01:49:36","slug":"token-metrics-bitcoin-bullish-monero-spikes-438-laundering","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/xmr\/news\/token-metrics-bitcoin-bullish-monero-spikes-438-laundering\/","title":{"rendered":"Token Metrics Data Shows Bitcoin Bullish as Monero Spikes to $438 Amid $120M Laundering Maze"},"content":{"rendered":"<h2>TL;DR<\/h2>\n<p>Token Metrics data shows Bitcoin maintaining a bullish trend as Monero spikes to $438 amid a $120M laundering scheme. Tether froze $72 million in USDT linked to the activity. An unknown entity moved the funds through a chain of swaps. The big Monero buys pushed the price from roughly $330 to $438. This shows how thin liquidity can change markets fast. Onchain sleuth ZachXBT traced the funds across exchanges and other blockchains.<\/p>\n<h2>Context<\/h2>\n<p>Monero is a privacy coin. It is designed to hide who sends and receives money. This makes it hard to track where funds go. The coin usually trades in low volumes. Thin liquidity means even a single big buy can move the price a lot.<\/p>\n<p>Privacy coins like Monero have long been scrutinized by regulators due to their potential use in illicit activities. The Financial Action Task Force has repeatedly warned about the risks these assets pose to anti-money laundering efforts. Despite this, Monero has maintained a dedicated user base valuing financial privacy. The coin&#8217;s market structure typically features limited order books and concentrated liquidity pools. Making it susceptible to dramatic price movements during large transactions.<\/p>\n<p>An unknown entity moved about $120 million in USDT stablecoins through a complex maze of swaps this week. Some of this money went into Monero. The buy orders were large. They pushed the price from about $330 to near $438.<\/p>\n<p>The rest of the funds were split up. ZachXBT, an onchain sleuth, traced the remaining funds. He looked at exchanges, instant swap services, and other blockchains. The pattern of fast movement and cross-chain hops is common in money laundering. It helps bad actors hide the trail of funds.<\/p>\n<h2>What&#8217;s New<\/h2>\n<p>Monero prices rocketed to $438 during the $120 million onchain laundering scheme. The jump was sharp. It highlights the risk of low liquidity in the market.<\/p>\n<p>Tether stepped in to stop the activity. The company froze $72 million in USDT linked to the activity. Once frozen, those tokens cannot be moved or cashed out. This action suggests Tether saw signs of illicit acts. The origin of the $120 million is still not clear.<\/p>\n<p>The onchain investigation revealed sophisticated money laundering techniques. The entity used multiple layers of transactions, including about $12 million sent to KuCoin exchange and $8 million through instant swap services. Another $8 million was moved across blockchains using Near Intents, a cross-chain tool. This multi-pronged approach demonstrates the increasing complexity of crypto-based money laundering operations, requiring investigators to monitor multiple networks simultaneously.<\/p>\n<h2>What Token Metrics Data Shows<\/h2>\n<p>Token Metrics data shows Bitcoin trading near $63,727 as of June 12, 2026. The price is up about 1% for the day. It gained roughly 2% over the past week. Our <strong>token-market signal<\/strong> reads bullish. This means the main trend points up. However, some momentum tools send mixed signals. The trend indicator suggests the short-term push might be slowing down. Another trend bias is also pointing downward. Yet, the trend strength indicator sits at 74. This high number shows the trend is strong. The momentum indicator is at 60. This places it in the middle of its range.<\/p>\n<p>The market is not too volatile right now. The volatility indicator is at about 3%. This means traders do not expect wild price swings soon. The price position indicator shows the price is in the middle. This supports the view of a stable market.<\/p>\n<p>Recent news played a role in the price action. Strategy sold 32 BTC on June 1. They did this to pay dividends. This sale added selling pressure. It happened when ETF outflows were heavy. Our <strong>Daily Pulse coverage<\/strong> flagged this as a lead change. This means it was a key event to watch.<\/p>\n<p>Traders on Polymarket are feeling good. The <strong>Polymarket consensus<\/strong> shows an 89% chance Bitcoin stays above $60,000 by June 18. This target is about $3,700 below the current price. It shows confidence that the gains will hold.<\/p>\n<p>Support levels show where the price might stop falling. The first support is near $54,820. Resistance shows where the price might struggle to rise. The next resistance is near $77,167. Investors should watch these levels closely.<\/p>\n<p>The technical picture presents an interesting dichotomy for investors. Despite the bullish overall trend, the weakening momentum suggests caution for new entries. The strong trend strength of 74 indicates that any established positions should be maintained, as reversals from such strong trends are rare. The moderate volatility reading of 3% suggests this is an optimal time for position sizing. As the market is neither too calm nor too erratic.<\/p>\n<p>The support level at $54,820 represents a critical psychological floor. A breach below this level could trigger automated sell orders from algorithmic traders, potentially accelerating declines. 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Recompute via\n\t\t\t\/\/ `curl -sS <src> | openssl dgst -sha384 -binary | base64`\n\t\t\t\/\/ when bumping the version.\n\t\t\ts.integrity = 'sha384-stKllnUqA9AD0gsKCuUtf5XlqAW7PwIgDagoNsTWkjkBmJ\/GZ\/uHTgEBxdLV2VSK';\n\t\t\ts.async = true;\n\t\t\ts.crossOrigin = 'anonymous';\n\t\t\ts.onload = cb;\n\t\t\ts.onerror = function () { console.warn('[tm-tv-chart] failed to load lightweight-charts'); };\n\t\t\tdocument.head.appendChild(s);\n\t\t}\n\n\t\tfunction priceFormat(value) {\n\t\t\tvar abs = Math.abs(value);\n\t\t\tif (abs >= 0.01)    { return { precision: 2, minMove: 0.01 }; }\n\t\t\tif (abs >= 0.0001)  { return { precision: 6, minMove: 0.000001 }; }\n\t\t\treturn { precision: 8, minMove: 0.00000001 };\n\t\t}\n\t\tfunction formatPrice(value) {\n\t\t\tvar fmt = priceFormat(value);\n\t\t\treturn '$' + 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\tfunction updateQuote(figure, data) {\n\t\t\tvar priceEl  = figure.querySelector('[data-tm-chart-price]');\n\t\t\tvar changeEl = figure.querySelector('[data-tm-chart-change]');\n\t\t\tif (!priceEl || !changeEl || data.length === 0) { return; }\n\t\t\tvar last = data[data.length - 1];\n\t\t\tvar dayAgoTs = last.time - 86400;\n\t\t\tvar baseline = data[0];\n\t\t\tfor (var i = data.length - 1; i >= 0; i--) {\n\t\t\t\tif (data[i].time <= dayAgoTs) { baseline = data[i]; break; }\n\t\t\t}\n\t\t\tvar changeAbs = last.value - baseline.value;\n\t\t\tvar changePct = baseline.value !== 0 ? (changeAbs \/ baseline.value) * 100 : 0;\n\t\t\tpriceEl.textContent  = formatPrice(last.value);\n\t\t\tchangeEl.textContent = formatChangeAbs(changeAbs) + ' (' + (changePct >= 0 ? '+' : '\u2212') + Math.abs(changePct).toFixed(2) + '%)';\n\t\t\tchangeEl.classList.remove('tm-tv-chart__change--up', 'tm-tv-chart__change--down');\n\t\t\tif (changeAbs > 0) { changeEl.classList.add('tm-tv-chart__change--up'); }\n\t\t\telse if (changeAbs < 0) { changeEl.classList.add('tm-tv-chart__change--down'); }\n\t\t}\n\n\t\tfunction fetchOhlc(coinId, days) {\n\t\t\tvar url = 'https:\/\/api.coingecko.com\/api\/v3\/coins\/' + encodeURIComponent(coinId)\n\t\t\t\t+ '\/ohlc?vs_currency=usd&days=' + encodeURIComponent(days);\n\t\t\treturn fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { throw new Error('coingecko ' + r.status); }\n\t\t\t\treturn r.json();\n\t\t\t}).then(function (rows) {\n\t\t\t\tif (!Array.isArray(rows)) { return []; }\n\t\t\t\treturn rows.map(function (k) {\n\t\t\t\t\treturn { time: Math.floor(k[0] \/ 1000), value: parseFloat(k[4]) };\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\n\t\tfunction renderOne(figure) {\n\t\t\tif (figure.dataset.tmChartReady) { return; }\n\t\t\tif (figure.dataset.tmChartFetching) { return; }\n\t\t\tvar coinId = figure.getAttribute('data-tm-chart-id');\n\t\t\tvar days   = figure.getAttribute('data-tm-chart-days') || '14';\n\t\t\tvar height = parseInt(figure.getAttribute('data-tm-chart-height') || '220', 10);\n\t\t\tvar canvas = figure.querySelector('.tm-tv-chart__canvas');\n\t\t\tif (!coinId || !canvas) { return; }\n\t\t\t\/\/ Greptile P1 (PR #1470): only mark the figure ready AFTER\n\t\t\t\/\/ the OHLC fetch resolves successfully. The earlier flow set\n\t\t\t\/\/ the flag before the await, so a single 429 from CoinGecko\n\t\t\t\/\/ permanently disabled retry for that page-load \u2014 every\n\t\t\t\/\/ subsequent renderAll() call (e.g. on resize \/ hashchange)\n\t\t\t\/\/ would short-circuit on the stale flag and the chart would\n\t\t\t\/\/ stay blank forever. The intermediate `tmChartFetching`\n\t\t\t\/\/ flag still prevents in-flight double-fetches.\n\t\t\tfigure.dataset.tmChartFetching = '1';\n\n\t\t\tfetchOhlc(coinId, days).then(function (data) {\n\t\t\t\tif (!data || data.length === 0) {\n\t\t\t\t\tdelete figure.dataset.tmChartFetching;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\tfigure.dataset.tmChartReady = '1';\n\t\t\t\tdelete figure.dataset.tmChartFetching;\n\t\t\t\tvar precision = priceFormat(data[data.length - 1].value);\n\t\t\t\t\/\/ Greptile P2 (PR #1470): canvas.clientWidth is 0 when\n\t\t\t\t\/\/ the .tm-tv-chart__canvas isn't laid out yet (lazy-load\n\t\t\t\t\/\/ container, hidden tab, accordion). lightweight-charts\n\t\t\t\t\/\/ silently accepts 0 and creates an invisible chart.\n\t\t\t\t\/\/ Fall back to offsetWidth, then a sane default.\n\t\t\t\tvar initialWidth = canvas.clientWidth || canvas.offsetWidth || 600;\n\t\t\t\tvar chart = window.LightweightCharts.createChart(canvas, {\n\t\t\t\t\twidth: initialWidth,\n\t\t\t\t\theight: height,\n\t\t\t\t\tlayout: { background: { color: TM_BRAND.bg }, textColor: TM_BRAND.text, fontFamily: '-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, sans-serif', attributionLogo: false },\n\t\t\t\t\tgrid: { vertLines: { visible: false }, horzLines: { color: TM_BRAND.grid } },\n\t\t\t\t\trightPriceScale: { borderColor: TM_BRAND.border },\n\t\t\t\t\ttimeScale: {\n\t\t\t\t\t\tborderColor: TM_BRAND.border,\n\t\t\t\t\t\ttimeVisible: true,\n\t\t\t\t\t\tsecondsVisible: false,\n\t\t\t\t\t\t\/\/ End-user feedback: the default DayOfMonth formatter\n\t\t\t\t\t\t\/\/ shows bare numbers (\"4 7 10 13 16\") with no month\n\t\t\t\t\t\t\/\/ context, leaving readers to guess what month\n\t\t\t\t\t\t\/\/ they're looking at. Force a Month-Day format for\n\t\t\t\t\t\t\/\/ DayOfMonth ticks and full Month-Day-Year for\n\t\t\t\t\t\t\/\/ Month\/Year ticks. lightweight-charts passes a\n\t\t\t\t\t\t\/\/ numeric tickMarkType from its TickMarkType enum:\n\t\t\t\t\t\t\/\/ 0=Year, 1=Month, 2=DayOfMonth, 3=Time, 4=TimeWithSeconds.\n\t\t\t\t\t\ttickMarkFormatter: function (time, tickMarkType, locale) {\n\t\t\t\t\t\t\tvar d = new Date(time * 1000);\n\t\t\t\t\t\t\tif (tickMarkType === 0) {\n\t\t\t\t\t\t\t\treturn d.getUTCFullYear().toString();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (tickMarkType === 1) {\n\t\t\t\t\t\t\t\treturn d.toLocaleDateString(locale, { month: 'short', year: 'numeric', timeZone: 'UTC' });\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\/\/ DayOfMonth (2) and any time-level ticks fall\n\t\t\t\t\t\t\t\/\/ through to month-day, which is the format users\n\t\t\t\t\t\t\t\/\/ actually wanted on the 14-day chart.\n\t\t\t\t\t\t\treturn d.toLocaleDateString(locale, { month: 'short', day: 'numeric', timeZone: 'UTC' });\n\t\t\t\t\t\t}\n\t\t\t\t\t},\n\t\t\t\t\tcrosshair: { mode: 0 },\n\t\t\t\t\thandleScroll: false,\n\t\t\t\t\thandleScale: false\n\t\t\t\t});\n\t\t\t\tvar series = chart.addAreaSeries({\n\t\t\t\t\tlineColor: TM_BRAND.line,\n\t\t\t\t\ttopColor: TM_BRAND.fillTop,\n\t\t\t\t\tbottomColor: TM_BRAND.fillBot,\n\t\t\t\t\tlineWidth: 2,\n\t\t\t\t\tpriceFormat: { type: 'price', precision: precision.precision, minMove: precision.minMove }\n\t\t\t\t});\n\t\t\t\tseries.setData(data);\n\t\t\t\tchart.timeScale().fitContent();\n\t\t\t\tupdateQuote(figure, data);\n\t\t\t\tif (window.ResizeObserver) {\n\t\t\t\t\tvar ro = new ResizeObserver(function () { chart.applyOptions({ width: canvas.clientWidth }); });\n\t\t\t\t\tro.observe(canvas);\n\t\t\t\t}\n\t\t\t}).catch(function (err) {\n\t\t\t\t\/\/ Greptile P1 (PR #1470): clear the in-flight flag on\n\t\t\t\t\/\/ failure so a future renderAll() can retry. Without\n\t\t\t\t\/\/ this, a 429 from CoinGecko leaves the figure\n\t\t\t\t\/\/ permanently in a half-loaded state.\n\t\t\t\tdelete figure.dataset.tmChartFetching;\n\t\t\t\tconsole.warn('[tm-tv-chart] data fetch failed for ' + coinId, err);\n\t\t\t});\n\t\t}\n\n\t\tfunction renderAll() {\n\t\t\tvar figures = document.querySelectorAll('[data-tm-chart]');\n\t\t\tif (figures.length === 0) { return; }\n\t\t\tloadLibrary(function () { figures.forEach(renderOne); });\n\t\t}\n\n\t\tif (document.readyState === 'loading') {\n\t\t\tdocument.addEventListener('DOMContentLoaded', renderAll);\n\t\t} else {\n\t\t\trenderAll();\n\t\t}\n\t})();\n\t<\/script>\n\t\t\n\t\t<aside\n\t\tclass=\"tm-token-stats\"\n\t\tdata-tm-token-stats\n\t\tdata-tm-stats-id=\"monero\"\n\t\tdata-tm-stats-lookback=\"365\"\n\t\taria-label=\"Monero key statistics\"\n\t>\n\t\t<header class=\"tm-token-stats__header\">\n\t\t\t<h3 class=\"tm-token-stats__title\">Monero \u00b7 Key Stats<\/h3>\n\t\t\t<span class=\"tm-token-stats__lookback\">365d lookback<\/span>\n\t\t<\/header>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Market<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Market Cap<\/dt><dd data-tm-stats-value=\"market-cap\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Vol \/ Cap<\/dt><dd data-tm-stats-value=\"turnover\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>52-Week Range<\/dt><dd data-tm-stats-value=\"range-52w\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Performance<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>30d<\/dt><dd data-tm-stats-value=\"change-30d\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>1y<\/dt><dd data-tm-stats-value=\"change-1y\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>vs BTC<\/dt><dd data-tm-stats-value=\"vs-btc\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Risk (1y)<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Volatility<\/dt><dd data-tm-stats-value=\"volatility\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Max Drawdown<\/dt><dd data-tm-stats-value=\"max-drawdown\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Sharpe<\/dt><dd data-tm-stats-value=\"sharpe\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<p class=\"tm-token-stats__source\">Data via CoinGecko. Risk metrics from the trailing daily closes.<\/p>\n\t<\/aside>\n\t\t<script id=\"tm-token-stats-hydrator\">\n\t(function () {\n\t\t\/\/ Routed through the tm-coingecko-proxy Worker (5-min KV cache,\n\t\t\/\/ paid Pro key) instead of api.coingecko.com directly. Base URL is\n\t\t\/\/ resolved server-side from the `tm_token_card_coingecko_proxy_base`\n\t\t\/\/ filter \/ TM_COINGECKO_PROXY_BASE constant so staging can point\n\t\t\/\/ at a separate Worker.\n\t\tvar PROXY_BASE = \"https:\\\/\\\/tokenmetrics.com\\\/api\\\/cg\";\n\t\tvar DAYS_PER_YEAR = 365;\n\t\tvar coinCache = {};\n\t\tfunction fetchJson(url) {\n\t\t\treturn fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { throw new Error('coingecko ' + r.status); }\n\t\t\t\treturn r.json();\n\t\t\t});\n\t\t}\n\t\tfunction fetchSnapshot(id) {\n\t\t\tif (coinCache['snap_' + id]) { return coinCache['snap_' + id]; }\n\t\t\tvar url = PROXY_BASE + '\/coins\/' + encodeURIComponent(id)\n\t\t\t\t+ '?localization=false&tickers=false&community_data=false&developer_data=false&sparkline=false';\n\t\t\tcoinCache['snap_' + id] = fetchJson(url);\n\t\t\treturn coinCache['snap_' + id];\n\t\t}\n\t\tfunction fetchSeries(id, days) {\n\t\t\tvar key = 'series_' + id + '_' + days;\n\t\t\tif (coinCache[key]) { return coinCache[key]; }\n\t\t\tvar url = PROXY_BASE + '\/coins\/' + encodeURIComponent(id)\n\t\t\t\t+ '\/market_chart?vs_currency=usd&days=' + encodeURIComponent(days);\n\t\t\tcoinCache[key] = fetchJson(url).then(function (d) {\n\t\t\t\treturn Array.isArray(d.prices) ? d.prices : [];\n\t\t\t});\n\t\t\treturn coinCache[key];\n\t\t}\n\t\tfunction fmtUsd(value) {\n\t\t\tvar abs = Math.abs(value);\n\t\t\tvar precision = abs >= 0.01 ? 2 : (abs >= 0.0001 ? 6 : 8);\n\t\t\treturn '$' + value.toLocaleString('en-US', { minimumFractionDigits: precision, maximumFractionDigits: precision });\n\t\t}\n\t\tfunction fmtCompactUsd(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return '\u2014'; }\n\t\t\tvar abs = Math.abs(value);\n\t\t\tif (abs >= 1e12) { return '$' + (value \/ 1e12).toFixed(2) + 'T'; }\n\t\t\tif (abs >= 1e9)  { return '$' + (value \/ 1e9).toFixed(2)  + 'B'; }\n\t\t\tif (abs >= 1e6)  { return '$' + (value \/ 1e6).toFixed(2)  + 'M'; }\n\t\t\tif (abs >= 1e3)  { return '$' + (value \/ 1e3).toFixed(2)  + 'K'; }\n\t\t\treturn fmtUsd(value);\n\t\t}\n\t\tfunction fmtPct(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return '\u2014'; }\n\t\t\tvar sign = value >= 0 ? '+' : '\u2212';\n\t\t\treturn sign + Math.abs(value).toFixed(2) + '%';\n\t\t}\n\t\tfunction trendOf(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return null; }\n\t\t\tif (value > 0) { return 'up'; }\n\t\t\tif (value < 0) { return 'down'; }\n\t\t\treturn null;\n\t\t}\n\t\tfunction setCell(root, key, text, trend) {\n\t\t\tvar el = root.querySelector('[data-tm-stats-value=\"' + key + '\"]');\n\t\t\tif (!el) { return; }\n\t\t\tel.textContent = text;\n\t\t\tif (trend === 'up' || trend === 'down') { el.setAttribute('data-trend', trend); }\n\t\t\telse { el.removeAttribute('data-trend'); }\n\t\t}\n\t\tfunction dailyReturns(prices) {\n\t\t\tvar rets = [];\n\t\t\tfor (var i = 1; i < prices.length; i++) {\n\t\t\t\tvar prev = prices[i - 1][1], cur = prices[i][1];\n\t\t\t\tif (prev > 0 && isFinite(prev) && isFinite(cur)) { rets.push(cur \/ prev - 1); }\n\t\t\t}\n\t\t\treturn rets;\n\t\t}\n\t\tfunction mean(arr) {\n\t\t\tif (arr.length === 0) { return 0; }\n\t\t\tvar s = 0; for (var i = 0; i < arr.length; i++) { s += arr[i]; }\n\t\t\treturn s \/ arr.length;\n\t\t}\n\t\tfunction stddev(arr, mu) {\n\t\t\tif (arr.length < 2) { return 0; }\n\t\t\tvar s = 0;\n\t\t\tfor (var i = 0; i < arr.length; i++) { var d = arr[i] - mu; s += d * d; }\n\t\t\treturn Math.sqrt(s \/ (arr.length - 1));\n\t\t}\n\t\tfunction maxDrawdown(prices) {\n\t\t\tif (prices.length < 2) { return { value: 0, duration: 0 }; }\n\t\t\tvar peak = prices[0][1], peakIdx = 0;\n\t\t\tvar maxDd = 0, troughIdx = 0, troughPeakIdx = 0;\n\t\t\tfor (var i = 1; i < prices.length; i++) {\n\t\t\t\tvar p = prices[i][1];\n\t\t\t\tif (p > peak) { peak = p; peakIdx = i; }\n\t\t\t\tif (peak > 0) {\n\t\t\t\t\tvar dd = (p - peak) \/ peak;\n\t\t\t\t\tif (dd < maxDd) { maxDd = dd; troughIdx = i; troughPeakIdx = peakIdx; }\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar duration = 0;\n\t\t\tif (prices[troughIdx] && prices[troughPeakIdx]) {\n\t\t\t\tvar ms = prices[troughIdx][0] - prices[troughPeakIdx][0];\n\t\t\t\tduration = Math.max(0, Math.round(ms \/ 86400000));\n\t\t\t}\n\t\t\treturn { value: maxDd, duration: duration };\n\t\t}\n\t\tfunction quantStats(prices) {\n\t\t\tif (!prices || prices.length < 30) { return null; }\n\t\t\tvar rets = dailyReturns(prices);\n\t\t\tif (rets.length === 0) { return null; }\n\t\t\tvar mu = mean(rets);\n\t\t\tvar sd = stddev(rets, mu);\n\t\t\tvar ann_mu = mu * DAYS_PER_YEAR;\n\t\t\tvar ann_sd = sd * Math.sqrt(DAYS_PER_YEAR);\n\t\t\tvar dd = maxDrawdown(prices);\n\t\t\treturn {\n\t\t\t\tvolatility:      ann_sd,\n\t\t\t\tmaxDrawdown:     dd.value,\n\t\t\t\tmaxDrawdownDays: dd.duration,\n\t\t\t\tsharpe:          ann_sd > 0 ? ann_mu \/ ann_sd : 0\n\t\t\t};\n\t\t}\n\t\tfunction totalReturn(prices) {\n\t\t\tif (!prices || prices.length < 2) { return null; }\n\t\t\tvar first = prices[0][1], last = prices[prices.length - 1][1];\n\t\t\tif (!isFinite(first) || !isFinite(last) || first <= 0) { return null; }\n\t\t\treturn last \/ first - 1;\n\t\t}\n\t\tfunction setRangeCell(root, key, low, current, high) {\n\t\t\tvar el = root.querySelector('[data-tm-stats-value=\"' + key + '\"]');\n\t\t\tif (!el) { return; }\n\t\t\tel.removeAttribute('data-trend');\n\t\t\tif (!isFinite(low) || !isFinite(high) || !isFinite(current) || high <= low) {\n\t\t\t\tel.textContent = '\u2014'; return;\n\t\t\t}\n\t\t\tvar pct = ((current - low) \/ (high - low)) * 100;\n\t\t\tpct = Math.max(0, Math.min(100, pct));\n\t\t\tel.innerHTML = '';\n\t\t\tvar wrap = document.createElement('div'); wrap.className = 'tm-token-stats__range';\n\t\t\tvar track = document.createElement('div'); track.className = 'tm-token-stats__range-track';\n\t\t\tvar dot = document.createElement('div'); dot.className = 'tm-token-stats__range-dot';\n\t\t\tdot.style.left = pct.toFixed(1) + '%';\n\t\t\ttrack.appendChild(dot);\n\t\t\tvar bounds = document.createElement('div'); bounds.className = 'tm-token-stats__range-bounds';\n\t\t\tvar loSpan = document.createElement('span'); loSpan.textContent = fmtUsd(low);\n\t\t\tvar hiSpan = document.createElement('span'); hiSpan.textContent = fmtUsd(high);\n\t\t\tbounds.appendChild(loSpan); bounds.appendChild(hiSpan);\n\t\t\twrap.appendChild(track); wrap.appendChild(bounds); el.appendChild(wrap);\n\t\t}\n\t\tfunction renderOne(root) {\n\t\t\tif (root.dataset.tmStatsReady) { return; }\n\t\t\tvar coinId = root.getAttribute('data-tm-stats-id');\n\t\t\tvar lookback = root.getAttribute('data-tm-stats-lookback') || '365';\n\t\t\tif (!coinId) { return; }\n\t\t\troot.dataset.tmStatsReady = '1';\n\t\t\tPromise.all([\n\t\t\t\tfetchSnapshot(coinId),\n\t\t\t\tfetchSeries(coinId, lookback),\n\t\t\t\tfetchSeries('bitcoin', lookback)\n\t\t\t]).then(function (results) {\n\t\t\t\tvar snap = results[0]; var prices = results[1]; var btcPrices = results[2];\n\t\t\t\tvar md = (snap && snap.market_data) || {};\n\t\t\t\tsetCell(root, 'market-cap', fmtCompactUsd(md.market_cap && md.market_cap.usd));\n\t\t\t\tvar vol = md.total_volume && md.total_volume.usd;\n\t\t\t\tvar mcap = md.market_cap && md.market_cap.usd;\n\t\t\t\tvar turnoverText = '\u2014';\n\t\t\t\tif (vol && mcap && mcap > 0) {\n\t\t\t\t\tturnoverText = fmtCompactUsd(vol) + ' (' + ((vol \/ mcap) * 100).toFixed(2) + '%)';\n\t\t\t\t} else if (vol) { turnoverText = fmtCompactUsd(vol); }\n\t\t\t\tsetCell(root, 'turnover', turnoverText);\n\t\t\t\tif (prices && prices.length > 1) {\n\t\t\t\t\tvar lo = Infinity, hi = -Infinity;\n\t\t\t\t\tfor (var i = 0; i < prices.length; i++) {\n\t\t\t\t\t\tvar p = prices[i][1];\n\t\t\t\t\t\tif (p < lo) { lo = p; } if (p > hi) { hi = p; }\n\t\t\t\t\t}\n\t\t\t\t\tvar cur = (md.current_price && md.current_price.usd) || prices[prices.length - 1][1];\n\t\t\t\t\tsetRangeCell(root, 'range-52w', lo, cur, hi);\n\t\t\t\t}\n\t\t\t\tsetCell(root, 'change-30d', fmtPct(md.price_change_percentage_30d), trendOf(md.price_change_percentage_30d));\n\t\t\t\tsetCell(root, 'change-1y',  fmtPct(md.price_change_percentage_1y),  trendOf(md.price_change_percentage_1y));\n\t\t\t\tvar tokenRet = totalReturn(prices), btcRet = totalReturn(btcPrices);\n\t\t\t\tif (tokenRet !== null && btcRet !== null) {\n\t\t\t\t\tvar vsBtc = (tokenRet - btcRet) * 100;\n\t\t\t\t\tsetCell(root, 'vs-btc', fmtPct(vsBtc), trendOf(vsBtc));\n\t\t\t\t}\n\t\t\t\tvar qs = quantStats(prices);\n\t\t\t\tvar btcQs = quantStats(btcPrices);\n\t\t\t\tif (qs) {\n\t\t\t\t\tsetCell(root, 'volatility', (qs.volatility * 100).toFixed(1) + '%');\n\t\t\t\t\tvar ddText = fmtPct(qs.maxDrawdown * 100);\n\t\t\t\t\tif (qs.maxDrawdownDays > 0) { ddText += ' (' + qs.maxDrawdownDays + 'd)'; }\n\t\t\t\t\tsetCell(root, 'max-drawdown', ddText, 'down');\n\t\t\t\t\tvar sharpeText = qs.sharpe.toFixed(2);\n\t\t\t\t\tif (btcQs && btcQs.sharpe !== 0) { sharpeText += ' \u00b7 BTC ' + btcQs.sharpe.toFixed(2); }\n\t\t\t\t\tsetCell(root, 'sharpe', sharpeText, trendOf(qs.sharpe));\n\t\t\t\t}\n\t\t\t}).catch(function (err) { console.warn('[tm-token-stats] fetch failed for ' + coinId, err); });\n\t\t}\n\t\tfunction renderAll() {\n\t\t\tvar roots = document.querySelectorAll('[data-tm-token-stats]');\n\t\t\troots.forEach(renderOne);\n\t\t}\n\t\tif (document.readyState === 'loading') {\n\t\t\tdocument.addEventListener('DOMContentLoaded', renderAll);\n\t\t} else {\n\t\t\trenderAll();\n\t\t}\n\t})();\n\t<\/script>\n\t\t\n\t\t<aside\n\t\tclass=\"tm-token-card\"\n\t\trole=\"complementary\"\n\t\taria-label=\"Track Monero (XMR) with Token Metrics\"\n\t\tdata-tm-token-card=\"xmr\"\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\">Monero<\/span>\n\t\t\t\t<span class=\"tm-token-card__ticker\">XMR<\/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\n\t\t\t\tclass=\"tm-token-card__cta\"\n\t\t\t\thref=\"https:\/\/tokenmetrics.com\/?utm_source=tm_blog&#038;utm_medium=token_card&#038;utm_campaign=signal_xmr#premium\"\n\t\t\t\trel=\"noopener\"\n\t\t\t\ttarget=\"_blank\"\n\t\t\t>See the setup, risk, and invalidation before you act \u2192<\/a>\n\t\t\t<span class=\"tm-token-card__meta\">Signal alerts include the setup, risk, and what would change the trade.<\/span>\n\t\t<\/div>\n\t<\/aside>\n\t\n<h2>What to Watch<\/h2>\n<ul>\n<li>Watch Monero trading volume. A spike could mean more price swings.<\/li>\n<li>Look for more USDT freezes from Tether. More freezes would show an ongoing probe.<\/li>\n<li>Check cross-chain bridge activity for large moves.<\/li>\n<li>Track regulatory responses to the incident.<\/li>\n<li>Observe other privacy coins for unusual price moves.<\/li>\n<li>Monitor Bitcoin&#8217;s ability to hold above $60,000 as predicted by Polymarket.<\/li>\n<li>Watch for increased institutional flows into privacy-focused assets following this incident.<\/li>\n<li>Track any announcements from major exchanges regarding Monero trading policies.<\/li>\n<li>Observe the reaction of other stablecoin issuers to Tether&#8217;s freezing actions.<\/li>\n<\/ul>\n<p>This information is for educational purposes only and should not be considered financial advice.<\/p>\n","protected":false},"excerpt":{"rendered":"Token Metrics data shows Bitcoin maintaining a bullish trend as Monero spikes to $438 amid a $120M laundering scheme. 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