{"id":2468,"date":"2026-06-01T12:19:04","date_gmt":"2026-06-01T12:19:04","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/bitcoin-etps-largest-2026-outflow-bearish-technicals\/"},"modified":"2026-06-01T12:19:04","modified_gmt":"2026-06-01T12:19:04","slug":"bitcoin-etps-largest-2026-outflow-bearish-technicals","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/btc\/news\/bitcoin-etps-largest-2026-outflow-bearish-technicals\/","title":{"rendered":"Bitcoin ETPs Post Largest 2026 Outflow as Token Metrics Technicals Turn Bearish"},"content":{"rendered":"<h2>TL;DR<\/h2>\n<p>Bitcoin ETPs just recorded their largest weekly outflow of 2026 at $1.44 billion as crypto funds bled $1.67 billion overall. Token Metrics technicals on BTC read bearish with the trend flipping down and momentum running weak. The market now sits near $72,000 with first support at about $68,500 and total assets under management dropping to $141 billion. The lowest since early April.<\/p>\n<h2>Context<\/h2>\n<p>Crypto investment products just extended losses to three straight weeks. The market hasn&#8217;t seen this much selling pressure since early in the year. Total outflows over the past three weeks hit $4.21 billion. Assets under management fell to $141 billion. The lowest level since early April according to <a href=\"https:\/\/cointelegraph.com\/news\/crypto-etps-bleed-1-67-billion-altcoin-participation-collapse?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" rel=\"noopener\">CoinShares research<\/a>.<\/p>\n<p>The US dominated the selling. Bitcoin funds led the charge with massive withdrawals. Ether funds continued their own bleeding. Altcoin participation basically collapsed. Only five assets recorded substantial inflows above $1 million, down from previous levels of broader market interest.<\/p>\n<p>James Butterfill, CoinShares head of research, pointed to an Iran-related risk-off move driving the outflows. He said the pattern reminds him of the January-February episode that delivered five straight negative weeks. Any potential cushion from <a href=\"https:\/\/cointelegraph.com\/news\/crypto-etps-bleed-1-67-billion-altcoin-participation-collapse?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" rel=\"noopener\">CLARITY Act<\/a> progress got overwhelmed by the selling pressure.<\/p>\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') + 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<h2>What Token Metrics Data Shows<\/h2>\n<p>Data as of June 1, 2026. Token Metrics technicals on BTC read bearish. The trend has flipped bearish, the token broke down to a new low, and momentum sits weak. Volatility is compressed, so the market isn&#8217;t pricing in a big near-term move. First support near $68,500, next resistance near $79,000.<\/p>\n<p>Bitcoin is trading near $72,000, down about 2.5% on the day and off roughly 7% over the past week. Smart-money flows aren&#8217;t available for this timeframe. Token Metrics Daily Pulse flagged this in the main items section, highlighting the significance of the ETP outflows.<\/p>\n<p>The technical picture matches the on-chain reality. Multiple indicators point to continued downward pressure. The market is testing lower levels after the recent breakdown. Volatility remains compressed despite the price drop, suggesting more selling could emerge if support levels break.<\/p>\n\t\t<aside\n\t\tclass=\"tm-token-stats\"\n\t\tdata-tm-token-stats\n\t\tdata-tm-stats-id=\"bitcoin\"\n\t\tdata-tm-stats-lookback=\"365\"\n\t\taria-label=\"Bitcoin key statistics\"\n\t>\n\t\t<header class=\"tm-token-stats__header\">\n\t\t\t<h3 class=\"tm-token-stats__title\">Bitcoin \u00b7 Key Stats<\/h3>\n\t\t\t<span class=\"tm-token-stats__lookback\">365d lookback<\/span>\n\t\t<\/header>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Market<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Market Cap<\/dt><dd data-tm-stats-value=\"market-cap\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Vol \/ Cap<\/dt><dd data-tm-stats-value=\"turnover\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>52-Week Range<\/dt><dd data-tm-stats-value=\"range-52w\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Performance<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>30d<\/dt><dd data-tm-stats-value=\"change-30d\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>1y<\/dt><dd data-tm-stats-value=\"change-1y\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>vs BTC<\/dt><dd data-tm-stats-value=\"vs-btc\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<section class=\"tm-token-stats__section\">\n\t\t\t<h4 class=\"tm-token-stats__section-label\">Risk (1y)<\/h4>\n\t\t\t<dl class=\"tm-token-stats__grid\">\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Volatility<\/dt><dd data-tm-stats-value=\"volatility\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Max Drawdown<\/dt><dd data-tm-stats-value=\"max-drawdown\">\u2014<\/dd><\/div>\n\t\t\t\t<div class=\"tm-token-stats__cell\"><dt>Sharpe<\/dt><dd data-tm-stats-value=\"sharpe\">\u2014<\/dd><\/div>\n\t\t\t<\/dl>\n\t\t<\/section>\n\t\t<p class=\"tm-token-stats__source\">Data via CoinGecko. Risk metrics from the trailing daily closes.<\/p>\n\t<\/aside>\n\t\t<script id=\"tm-token-stats-hydrator\">\n\t(function () {\n\t\t\/\/ Routed through the tm-coingecko-proxy Worker (5-min KV cache,\n\t\t\/\/ paid Pro key) instead of api.coingecko.com directly. Base URL is\n\t\t\/\/ resolved server-side from the `tm_token_card_coingecko_proxy_base`\n\t\t\/\/ filter \/ TM_COINGECKO_PROXY_BASE constant so staging can point\n\t\t\/\/ at a separate Worker.\n\t\tvar PROXY_BASE = \"https:\\\/\\\/tokenmetrics.com\\\/api\\\/cg\";\n\t\tvar DAYS_PER_YEAR = 365;\n\t\tvar coinCache = {};\n\t\tfunction fetchJson(url) {\n\t\t\treturn fetch(url, { credentials: 'omit' }).then(function (r) {\n\t\t\t\tif (!r.ok) { throw new Error('coingecko ' + r.status); }\n\t\t\t\treturn r.json();\n\t\t\t});\n\t\t}\n\t\tfunction fetchSnapshot(id) {\n\t\t\tif (coinCache['snap_' + id]) { return coinCache['snap_' + id]; }\n\t\t\tvar url = PROXY_BASE + '\/coins\/' + encodeURIComponent(id)\n\t\t\t\t+ '?localization=false&tickers=false&community_data=false&developer_data=false&sparkline=false';\n\t\t\tcoinCache['snap_' + id] = fetchJson(url);\n\t\t\treturn coinCache['snap_' + id];\n\t\t}\n\t\tfunction fetchSeries(id, days) {\n\t\t\tvar key = 'series_' + id + '_' + days;\n\t\t\tif (coinCache[key]) { return coinCache[key]; }\n\t\t\tvar url = PROXY_BASE + '\/coins\/' + encodeURIComponent(id)\n\t\t\t\t+ '\/market_chart?vs_currency=usd&days=' + encodeURIComponent(days);\n\t\t\tcoinCache[key] = fetchJson(url).then(function (d) {\n\t\t\t\treturn Array.isArray(d.prices) ? d.prices : [];\n\t\t\t});\n\t\t\treturn coinCache[key];\n\t\t}\n\t\tfunction fmtUsd(value) {\n\t\t\tvar abs = Math.abs(value);\n\t\t\tvar precision = abs >= 0.01 ? 2 : (abs >= 0.0001 ? 6 : 8);\n\t\t\treturn '$' + value.toLocaleString('en-US', { minimumFractionDigits: precision, maximumFractionDigits: precision });\n\t\t}\n\t\tfunction fmtCompactUsd(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return '\u2014'; }\n\t\t\tvar abs = Math.abs(value);\n\t\t\tif (abs >= 1e12) { return '$' + (value \/ 1e12).toFixed(2) + 'T'; }\n\t\t\tif (abs >= 1e9)  { return '$' + (value \/ 1e9).toFixed(2)  + 'B'; }\n\t\t\tif (abs >= 1e6)  { return '$' + (value \/ 1e6).toFixed(2)  + 'M'; }\n\t\t\tif (abs >= 1e3)  { return '$' + (value \/ 1e3).toFixed(2)  + 'K'; }\n\t\t\treturn fmtUsd(value);\n\t\t}\n\t\tfunction fmtPct(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return '\u2014'; }\n\t\t\tvar sign = value >= 0 ? '+' : '\u2212';\n\t\t\treturn sign + Math.abs(value).toFixed(2) + '%';\n\t\t}\n\t\tfunction trendOf(value) {\n\t\t\tif (value === null || value === undefined || isNaN(value)) { return null; }\n\t\t\tif (value > 0) { return 'up'; }\n\t\t\tif (value < 0) { return 'down'; }\n\t\t\treturn null;\n\t\t}\n\t\tfunction setCell(root, key, text, trend) {\n\t\t\tvar el = root.querySelector('[data-tm-stats-value=\"' + key + '\"]');\n\t\t\tif (!el) { return; }\n\t\t\tel.textContent = text;\n\t\t\tif (trend === 'up' || trend === 'down') { el.setAttribute('data-trend', trend); }\n\t\t\telse { el.removeAttribute('data-trend'); }\n\t\t}\n\t\tfunction dailyReturns(prices) {\n\t\t\tvar rets = [];\n\t\t\tfor (var i = 1; i < prices.length; i++) {\n\t\t\t\tvar prev = prices[i - 1][1], cur = prices[i][1];\n\t\t\t\tif (prev > 0 && isFinite(prev) && isFinite(cur)) { rets.push(cur \/ prev - 1); }\n\t\t\t}\n\t\t\treturn rets;\n\t\t}\n\t\tfunction mean(arr) {\n\t\t\tif (arr.length === 0) { return 0; }\n\t\t\tvar s = 0; for (var i = 0; i < arr.length; i++) { s += arr[i]; }\n\t\t\treturn s \/ arr.length;\n\t\t}\n\t\tfunction stddev(arr, mu) {\n\t\t\tif (arr.length < 2) { return 0; }\n\t\t\tvar s = 0;\n\t\t\tfor (var i = 0; i < arr.length; i++) { var d = arr[i] - mu; s += d * d; }\n\t\t\treturn Math.sqrt(s \/ (arr.length - 1));\n\t\t}\n\t\tfunction maxDrawdown(prices) {\n\t\t\tif (prices.length < 2) { return { value: 0, duration: 0 }; }\n\t\t\tvar peak = prices[0][1], peakIdx = 0;\n\t\t\tvar maxDd = 0, troughIdx = 0, troughPeakIdx = 0;\n\t\t\tfor (var i = 1; i < prices.length; i++) {\n\t\t\t\tvar p = prices[i][1];\n\t\t\t\tif (p > peak) { peak = p; peakIdx = i; }\n\t\t\t\tif (peak > 0) {\n\t\t\t\t\tvar dd = (p - peak) \/ peak;\n\t\t\t\t\tif (dd < maxDd) { maxDd = dd; troughIdx = i; troughPeakIdx = peakIdx; }\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar duration = 0;\n\t\t\tif (prices[troughIdx] && prices[troughPeakIdx]) {\n\t\t\t\tvar ms = prices[troughIdx][0] - prices[troughPeakIdx][0];\n\t\t\t\tduration = Math.max(0, Math.round(ms \/ 86400000));\n\t\t\t}\n\t\t\treturn { value: maxDd, duration: duration };\n\t\t}\n\t\tfunction quantStats(prices) {\n\t\t\tif (!prices || prices.length < 30) { return null; }\n\t\t\tvar rets = dailyReturns(prices);\n\t\t\tif (rets.length === 0) { return null; }\n\t\t\tvar mu = mean(rets);\n\t\t\tvar sd = stddev(rets, mu);\n\t\t\tvar ann_mu = mu * DAYS_PER_YEAR;\n\t\t\tvar ann_sd = sd * Math.sqrt(DAYS_PER_YEAR);\n\t\t\tvar dd = maxDrawdown(prices);\n\t\t\treturn {\n\t\t\t\tvolatility:      ann_sd,\n\t\t\t\tmaxDrawdown:     dd.value,\n\t\t\t\tmaxDrawdownDays: dd.duration,\n\t\t\t\tsharpe:          ann_sd > 0 ? ann_mu \/ ann_sd : 0\n\t\t\t};\n\t\t}\n\t\tfunction totalReturn(prices) {\n\t\t\tif (!prices || prices.length < 2) { return null; }\n\t\t\tvar first = prices[0][1], last = prices[prices.length - 1][1];\n\t\t\tif (!isFinite(first) || !isFinite(last) || first <= 0) { return null; }\n\t\t\treturn last \/ first - 1;\n\t\t}\n\t\tfunction setRangeCell(root, key, low, current, high) {\n\t\t\tvar el = root.querySelector('[data-tm-stats-value=\"' + key + '\"]');\n\t\t\tif (!el) { return; }\n\t\t\tel.removeAttribute('data-trend');\n\t\t\tif (!isFinite(low) || !isFinite(high) || !isFinite(current) || high <= low) {\n\t\t\t\tel.textContent = '\u2014'; return;\n\t\t\t}\n\t\t\tvar pct = ((current - low) \/ (high - low)) * 100;\n\t\t\tpct = Math.max(0, Math.min(100, pct));\n\t\t\tel.innerHTML = '';\n\t\t\tvar wrap = document.createElement('div'); wrap.className = 'tm-token-stats__range';\n\t\t\tvar track = document.createElement('div'); track.className = 'tm-token-stats__range-track';\n\t\t\tvar dot = document.createElement('div'); dot.className = 'tm-token-stats__range-dot';\n\t\t\tdot.style.left = pct.toFixed(1) + '%';\n\t\t\ttrack.appendChild(dot);\n\t\t\tvar bounds = document.createElement('div'); bounds.className = 'tm-token-stats__range-bounds';\n\t\t\tvar loSpan = document.createElement('span'); loSpan.textContent = fmtUsd(low);\n\t\t\tvar hiSpan = document.createElement('span'); hiSpan.textContent = fmtUsd(high);\n\t\t\tbounds.appendChild(loSpan); bounds.appendChild(hiSpan);\n\t\t\twrap.appendChild(track); wrap.appendChild(bounds); el.appendChild(wrap);\n\t\t}\n\t\tfunction renderOne(root) {\n\t\t\tif (root.dataset.tmStatsReady) { return; }\n\t\t\tvar coinId = root.getAttribute('data-tm-stats-id');\n\t\t\tvar lookback = root.getAttribute('data-tm-stats-lookback') || '365';\n\t\t\tif (!coinId) { return; }\n\t\t\troot.dataset.tmStatsReady = '1';\n\t\t\tPromise.all([\n\t\t\t\tfetchSnapshot(coinId),\n\t\t\t\tfetchSeries(coinId, lookback),\n\t\t\t\tfetchSeries('bitcoin', lookback)\n\t\t\t]).then(function (results) {\n\t\t\t\tvar snap = results[0]; var prices = results[1]; var btcPrices = results[2];\n\t\t\t\tvar md = (snap && snap.market_data) || {};\n\t\t\t\tsetCell(root, 'market-cap', fmtCompactUsd(md.market_cap && md.market_cap.usd));\n\t\t\t\tvar vol = md.total_volume && md.total_volume.usd;\n\t\t\t\tvar mcap = md.market_cap && md.market_cap.usd;\n\t\t\t\tvar turnoverText = '\u2014';\n\t\t\t\tif (vol && mcap && mcap > 0) {\n\t\t\t\t\tturnoverText = fmtCompactUsd(vol) + ' (' + ((vol \/ mcap) * 100).toFixed(2) + '%)';\n\t\t\t\t} else if (vol) { turnoverText = fmtCompactUsd(vol); }\n\t\t\t\tsetCell(root, 'turnover', turnoverText);\n\t\t\t\tif (prices && prices.length > 1) {\n\t\t\t\t\tvar lo = Infinity, hi = -Infinity;\n\t\t\t\t\tfor (var i = 0; i < prices.length; i++) {\n\t\t\t\t\t\tvar p = prices[i][1];\n\t\t\t\t\t\tif (p < lo) { lo = p; } if (p > hi) { hi = p; }\n\t\t\t\t\t}\n\t\t\t\t\tvar cur = (md.current_price && md.current_price.usd) || prices[prices.length - 1][1];\n\t\t\t\t\tsetRangeCell(root, 'range-52w', lo, cur, hi);\n\t\t\t\t}\n\t\t\t\tsetCell(root, 'change-30d', fmtPct(md.price_change_percentage_30d), trendOf(md.price_change_percentage_30d));\n\t\t\t\tsetCell(root, 'change-1y',  fmtPct(md.price_change_percentage_1y),  trendOf(md.price_change_percentage_1y));\n\t\t\t\tvar tokenRet = totalReturn(prices), btcRet = totalReturn(btcPrices);\n\t\t\t\tif (tokenRet !== null && btcRet !== null) {\n\t\t\t\t\tvar vsBtc = (tokenRet - btcRet) * 100;\n\t\t\t\t\tsetCell(root, 'vs-btc', fmtPct(vsBtc), trendOf(vsBtc));\n\t\t\t\t}\n\t\t\t\tvar qs = quantStats(prices);\n\t\t\t\tvar btcQs = quantStats(btcPrices);\n\t\t\t\tif (qs) {\n\t\t\t\t\tsetCell(root, 'volatility', (qs.volatility * 100).toFixed(1) + '%');\n\t\t\t\t\tvar ddText = fmtPct(qs.maxDrawdown * 100);\n\t\t\t\t\tif (qs.maxDrawdownDays > 0) { ddText += ' (' + qs.maxDrawdownDays + 'd)'; }\n\t\t\t\t\tsetCell(root, 'max-drawdown', ddText, 'down');\n\t\t\t\t\tvar sharpeText = qs.sharpe.toFixed(2);\n\t\t\t\t\tif (btcQs && btcQs.sharpe !== 0) { sharpeText += ' \u00b7 BTC ' + btcQs.sharpe.toFixed(2); }\n\t\t\t\t\tsetCell(root, 'sharpe', sharpeText, trendOf(qs.sharpe));\n\t\t\t\t}\n\t\t\t}).catch(function (err) { console.warn('[tm-token-stats] fetch failed for ' + coinId, err); });\n\t\t}\n\t\tfunction renderAll() {\n\t\t\tvar roots = document.querySelectorAll('[data-tm-token-stats]');\n\t\t\troots.forEach(renderOne);\n\t\t}\n\t\tif (document.readyState === 'loading') {\n\t\t\tdocument.addEventListener('DOMContentLoaded', renderAll);\n\t\t} else {\n\t\t\trenderAll();\n\t\t}\n\t})();\n\t<\/script>\n\t\t\n\t\t<aside\n\t\tclass=\"tm-token-card\"\n\t\trole=\"complementary\"\n\t\taria-label=\"Track Bitcoin (BTC) with Token Metrics\"\n\t\tdata-tm-token-card=\"btc\"\n\t>\n\t\t<header class=\"tm-token-card__header\">\n\t\t\t<p class=\"tm-token-card__eyebrow\">Track this token with Token Metrics<\/p>\n\t\t\t<h3 class=\"tm-token-card__title\">\n\t\t\t\t<span class=\"tm-token-card__name\">Bitcoin<\/span>\n\t\t\t\t<span class=\"tm-token-card__ticker\">BTC<\/span>\n\t\t\t<\/h3>\n\t\t<\/header>\n\t\t<ul class=\"tm-token-card__benefits\">\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">7-day free trial of Signal<\/li>\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">Smart-money wallet flows across the top tokens<\/li>\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">Daily technical setup labels \u2014 Bullish to Bearish, both directions<\/li>\n\t\t\t\t\t\t\t<li class=\"tm-token-card__benefit\">Polymarket consensus on near-term catalysts<\/li>\n\t\t\t\t\t<\/ul>\n\t\t<div class=\"tm-token-card__footer\">\n\t\t\t<a class=\"tm-token-card__cta\" href=\"https:\/\/tokenmetrics.com\/?utm_source=tm_blog&#038;utm_medium=token_card&#038;utm_campaign=signal_btc#premium\" rel=\"noopener\" target=\"_blank\">Catch crypto trades before the crowd \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&#8217;s New<\/h2>\n<p>Bitcoin ETPs recorded $1.44 billion in weekly outflows, marking the largest single-week withdrawal so far this year. This massive outflow came as part of a broader $1.67 billion exodus from crypto investment products last week. According to <a href=\"https:\/\/cointelegraph.com\/news\/crypto-etps-bleed-1-67-billion-altcoin-participation-collapse?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" rel=\"noopener\">CoinShares&#8217; latest report<\/a>.<\/p>\n<p>The Bitcoin funds were $2.4 billion down month-to-date but still maintained about $1.2 billion in inflows year-to-date. Their assets under management dropped to $114.6 billion. Ether funds didn&#8217;t fare any better, posting $257.3 million in outflows and bringing their year-to-date losses to $346 million.<\/p>\n<p>The selling pressure showed clear geographic patterns. The US market dominated the outflows. Altcoin participation nearly vanished, with Butterfill noting only five assets saw substantial inflows above $1 million. This sharp contraction in market participation suggests investors are fleeing risk across the board.<\/p>\n<h2>What to Watch<\/h2>\n<ul>\n<li>Watch if Bitcoin ETP flows turn positive for two consecutive weeks, which could signal institutional buying pressure returning<\/li>\n<li>Monitor the $68,500 support level on BTC, as a break below could trigger further technical selling<\/li>\n<li>Track whether altcoin participation expands beyond the current five assets with $1M+ inflows<\/li>\n<li>Watch for any policy updates on the CLARITY Act that could provide a regulatory catalyst<\/li>\n<li>Monitor if assets under management fall below $140 billion, which would mark a new 2026 low<\/li>\n<\/ul>\n<p>This content is for informational purposes only and should not be considered financial advice.<\/p>\n","protected":false},"excerpt":{"rendered":"Bitcoin ETPs suffered their biggest 2026 outflow at $1.44B as crypto funds bled $1.67B total, with Token Metrics technicals now reading bearish.","protected":false},"author":1,"featured_media":2467,"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,"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_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[165,158],"tags":[33,516,176,487,400],"sections":[183],"entities":[188],"class_list":["post-2468","post","type-post","status-publish","format-standard","has-post-thumbnail","category-btc","category-news","tag-bitcoin","tag-coinshares","tag-etf","tag-outflows","tag-technical-analysis","section-news","entity-btc","cs-entry","cs-video-wrap"],"jetpack_featured_media_url":"https:\/\/tokenmetrics.com\/blog\/wp-content\/uploads\/2026\/06\/bitcoin-etps-largest-2026-outflow-bearish-technicals-featured.webp","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2468","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=2468"}],"version-history":[{"count":0,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2468\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media\/2467"}],"wp:attachment":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media?parent=2468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/categories?post=2468"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/tags?post=2468"},{"taxonomy":"section","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/sections?post=2468"},{"taxonomy":"entity","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/entities?post=2468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}