{"id":2542,"date":"2026-06-04T12:31:12","date_gmt":"2026-06-04T12:31:12","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/fg-nexus-sells-178m-eth-treasury-losses\/"},"modified":"2026-07-06T07:30:12","modified_gmt":"2026-07-06T07:30:12","slug":"fg-nexus-sells-178m-eth-treasury-losses","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/eth\/news\/fg-nexus-sells-178m-eth-treasury-losses\/","title":{"rendered":"ETH Technicals Flash Bearish as FG Nexus Sells $17.8M ETH, Treasury Losses Top $100M"},"content":{"rendered":"<p><!-- TM_CHART_MOBILE_WIDTH_HOTFIX_START --><\/p>\n<style id=\"tm-chart-mobile-width-hotfix\">\n.single .entry-content > .tm-tv-chart {\n  box-sizing: border-box !important;\n  width: min(var(--cs-entry-content-large-width, 598px), calc(100vw - 3rem)) !important;\n  max-width: calc(100vw - 3rem) !important;\n  margin-left: calc(min(var(--cs-entry-content-large-width, 598px), calc(100vw - 3rem)) \/ -2 + 50%) !important;\n  margin-right: calc(min(var(--cs-entry-content-large-width, 598px), calc(100vw - 3rem)) \/ -2 + 50%) !important;\n  overflow: hidden !important;\n}\n.tm-tv-chart__canvas { width: 100% !important; 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}\n  function run(){document.querySelectorAll('[data-tm-chart]').forEach(render);} if(document.readyState==='loading') document.addEventListener('DOMContentLoaded',run); else run(); setTimeout(function(){document.querySelectorAll('[data-tm-chart]').forEach(function(f){delete f.dataset.tmSvgHotfixReady; render(f);});},1800);\n})();\n<\/script><br \/>\n<!-- TM_CHART_MOBILE_WIDTH_HOTFIX_END --><\/p>\n<h2>TL;DR<\/h2>\n<p>Token Metrics data shows ETH trading near $1,750 with bearish technicals. FG Nexus offloaded another 10,000 ETH worth about $17.8 million. This pushes total losses on its Ethereum treasury past $100 million. The Nasdaq-listed company has now sold over 31,000 ETH. It originally bought 50,770 ETH at an average of $3,860 per coin.<\/p>\n<h2>Context<\/h2>\n<p>FG Nexus is a publicly traded Ethereum treasury company. It made headlines in 2025 by accumulating 50,770 ETH between August and September. The company bought at an average price of $3,860 per ETH. This built a position worth about $196 million at the time. This was part of a broader trend of corporate treasuries adding Ethereum to their balance sheets. They followed early adopters who saw potential in the second-largest cryptocurrency. This trend grew as companies sought to diversify their assets. They wanted exposure to the growing digital economy. However, this strategy comes with high risks due to price swings.<\/p>\n<p>The plan did not work as Ethereum prices declined throughout 2026. With ETH now trading around $1,750, the company&#8217;s holdings are worth roughly 54% less than their purchase price. This represents a paper loss exceeding $100 million on the original investment. FG Nexus began selling its ETH holdings in 2026. The latest sale marks another step in reducing its exposure. This decision to cut losses shows how hard it is to manage volatile assets in a public company. Shareholders often react quickly to drops in value.<\/p>\n<p>The company&#8217;s stock has suffered alongside its crypto holdings. Shares dropped 13.40% in pre-market trading on Thursday. They fell to $7.11 from $8.21 at Wednesday&#8217;s close. This shows the challenges crypto treasury firms face in volatile markets. The stock price moves closely with Ethereum&#8217;s performance. Corporate crypto treasury strategies remain a relatively new phenomenon. There are few precedents for large-scale unwinding of positions during market downturns. Investors are watching closely to see if other companies will follow FG Nexus or hold their positions. The situation is unique because crypto markets never close. 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font-size: 0.75em; color: rgba(232, 234, 242, 0.45); text-align: right;\n\t\t}\n\t\t@media (max-width: 560px) {\n\t\t\t.tm-token-stats__grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }\n\t\t}\n\t\t@media (max-width: 640px) {\n\t\t\t.tm-token-card {\n\t\t\t\tgrid-template-columns: auto 1fr;\n\t\t\t\tgrid-template-rows: auto auto;\n\t\t\t\tgap: 8px 14px;\n\t\t\t}\n\t\t\t.tm-token-card__cta {\n\t\t\t\tgrid-column: 1 \/ -1;\n\t\t\t\tjustify-content: center;\n\t\t\t}\n\t\t}\n\t<\/style>\n\t\t<figure\n\t\tclass=\"tm-tv-chart\"\n\t\tdata-tm-chart\n\t\tdata-tm-chart-id=\"ethereum\"\n\t\tdata-tm-chart-days=\"14\"\n\t\tdata-tm-chart-height=\"220\"\n\t>\n\t\t<header class=\"tm-tv-chart__header\">\n\t\t\t<div class=\"tm-tv-chart__title\">\n\t\t\t\t<span class=\"tm-tv-chart__name\">Ethereum<\/span>\n\t\t\t\t<span class=\"tm-tv-chart__ticker\">ETH<\/span>\n\t\t\t<\/div>\n\t\t\t<div class=\"tm-tv-chart__quote\">\n\t\t\t\t<span class=\"tm-tv-chart__price\" data-tm-chart-price>\u2014<\/span>\n\t\t\t\t<span class=\"tm-tv-chart__change\" data-tm-chart-change><\/span>\n\t\t\t<\/div>\n\t\t<\/header>\n\t\t<div\n\t\t\tclass=\"tm-tv-chart__canvas\"\n\t\t\trole=\"img\"\n\t\t\taria-label=\"Price chart for Ethereum\"\n\t\t\tstyle=\"height: 220px;\"\n\t\t><\/div>\n\t\t<figcaption class=\"tm-tv-chart__caption\">Live price for Ethereum \u2014 data via CoinGecko.<\/figcaption>\n\t<\/figure>\n\t\t<script id=\"tm-tv-chart-hydrator\">\n\t(function () {\n\t\tvar TM_BRAND = {\n\t\t\tbg:      '#17171D',\n\t\t\tline:    '#FFD60A',\n\t\t\tfillTop: 'rgba(255, 214, 10, 0.40)',\n\t\t\tfillBot: 'rgba(255, 214, 10, 0.00)',\n\t\t\ttext:    '#e8eaf2',\n\t\t\tgrid:    'rgba(232, 234, 242, 0.06)',\n\t\t\tborder:  'rgba(255, 214, 10, 0.18)'\n\t\t};\n\t\tfunction loadLibrary(cb) {\n\t\t\tif (window.LightweightCharts) { cb(); 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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\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 ? 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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\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 ? 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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\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<h2>What Token Metrics Data Shows<\/h2>\n<p>Data as of June 4, 2026, shows Ethereum trading near $1,750. ETH is down about 6% on the day and roughly 12% over the past week. The technical picture looks weak. Token Metrics technicals on ETH read bearish. The trend has flipped to negative and momentum is running weak. The token is trading sideways but is compressed on the lower side of its price bands. This suggests limited near-term upside. This compression means the price is stuck near the bottom of its recent range. It often happens before a big move, but the direction is hard to predict.<\/p>\n<p>Volatility is elevated while the market trends firmly downward. Momentum indicators show the market is weak. This condition often signals that the price has fallen too fast. It could mean a short bounce is possible. However, the strength of the current trend is very high. This indicates a strong downward move that could continue lower. Investors should be careful when the trend is this strong. Fighting the trend can lead to further losses.<\/p>\n<p>Smart money has been distributing ETH over the past 24 hours. This aligns with the selling pressure from entities like FG Nexus. &#8220;Smart money&#8221; refers to large, experienced investors. When they sell, it often influences the rest of the market. The market structure shows first support near $1,520. This is a price level where buyers might step in. The next resistance is around $2,196. This is a level where sellers might stop the price from rising.<\/p>\n<p>The short-term trend points firmly down. This confirms the downward momentum. The overall path remains lower. Token Metrics Daily Pulse flagged this development in the main items section. This recognizes its significance for market structure. The selling from FG Nexus represents a meaningful portion of daily trading volume. This heavy selling can push prices down faster than usual. With institutional crypto strategies still evolving, this case offers a real-time test of how corporate treasuries manage downturns.<\/p>\n\t\t<aside\n\t\tclass=\"tm-token-stats\"\n\t\tdata-tm-token-stats\n\t\tdata-tm-stats-id=\"ethereum\"\n\t\tdata-tm-stats-lookback=\"365\"\n\t\taria-label=\"Ethereum key statistics\"\n\t>\n\t\t<header class=\"tm-token-stats__header\">\n\t\t\t<h3 class=\"tm-token-stats__title\">Ethereum \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 Ethereum (ETH) with Token Metrics\"\n\t\tdata-tm-token-card=\"eth\"\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\">Ethereum<\/span>\n\t\t\t\t<span class=\"tm-token-card__ticker\">ETH<\/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_eth#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&#8217;s New<\/h2>\n<p>FG Nexus moved another 10,000 ETH on Wednesday. A wallet identified by Arkham Intelligence tracked the transfer. It was worth roughly $17.8 million at current prices. This continues the company&#8217;s pattern of selling. This sale comes after earlier sales. The company previously sold more than 21,000 ETH for about $55 million.<\/p>\n<p>The company has not publicly commented on its recent sales. This is notable because the company disclosed holdings of roughly 40,093 ETH in December 2025. Onchain data providers have tracked new transfers. The company has not addressed these in official statements. Cointelegraph asked FG Nexus for a comment but received no answer.<\/p>\n<p>The selling contrasts with other institutional players in the Ethereum market. BitMine is the largest publicly traded holder of Ether. It holds more than 5.4 million ETH. BitMine recently purchased about $52 million worth of additional ETH. This shows a different belief in the future of Ethereum. The mining company also announced plans Wednesday to issue dividend-paying preferred shares. This move expands the financing tools available to support its Ethereum treasury strategy. By issuing these shares, BitMine can raise capital to buy more ETH even if the price drops.<\/p>\n<p>Some analysts likewise remain upbeat on Ether\u2019s long-term outlook despite its recent underperformance. Standard Chartered reaffirmed its long-term $40,000 Ether price target last week. The bank says Ethereum\u2019s network fundamentals are strengthening. They point to growing onchain activity and continued dominance in decentralized finance. The bank compared Ethereum\u2019s current position to Amazon during its early growth phase. This comparison suggests that current prices do not reflect the true value of the network. Amazon had big price swings early on before becoming a giant.<\/p>\n<h2>What to Watch<\/h2>\n<p>Monitor FG Nexus&#8217;s remaining ETH holdings. Watch for more transfers from their wallets. This will show if they keep selling. Keep an eye on Ethereum&#8217;s price near $1,520. If it breaks below this level, more selling could happen.<\/p>\n<p>Track BitMine and other large holders. They might buy more, which could offset the selling. Watch FG Nexus&#8217;s stock price. Compare it to ETH&#8217;s price. This shows how the market feels about crypto treasury strategies.<\/p>\n<p>Watch Ethereum&#8217;s network activity. Some analysts are still bullish despite the price drop. Look for changes in trading volume. This can signal if the market dynamics are shifting. Also look for news from regulators. Changes in laws can affect how companies hold crypto.<\/p>\n<p>This information is for educational purposes only and should not be considered financial advice.<\/p>\n","protected":false},"excerpt":{"rendered":"FG Nexus offloaded another 10,000 ETH worth $17.8M, pushing total losses past $100M as the Ethereum treasury firm reduces its position amid ETH&#8217;s price decline.","protected":false},"author":1,"featured_media":2614,"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_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[204,158],"tags":[344,32,565,546,356],"sections":[183],"entities":[205],"class_list":["post-2542","post","type-post","status-publish","format-standard","has-post-thumbnail","category-eth","category-news","tag-eth","tag-ethereum","tag-fg-nexus","tag-institutions","tag-treasury","section-news","entity-eth","cs-entry","cs-video-wrap"],"jetpack_featured_media_url":"https:\/\/tokenmetrics.com\/blog\/wp-content\/uploads\/2026\/06\/eth-news-fg-nexus-sells-178m-eth-treasury-losses-featured-1.webp","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2542","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=2542"}],"version-history":[{"count":7,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2542\/revisions"}],"predecessor-version":[{"id":5875,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/posts\/2542\/revisions\/5875"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media\/2614"}],"wp:attachment":[{"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/media?parent=2542"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/categories?post=2542"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/tags?post=2542"},{"taxonomy":"section","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/sections?post=2542"},{"taxonomy":"entity","embeddable":true,"href":"https:\/\/tokenmetrics.com\/blog\/wp-json\/wp\/v2\/entities?post=2542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}