{"id":7409,"date":"2026-10-16T19:06:05","date_gmt":"2026-10-16T19:06:05","guid":{"rendered":"https:\/\/tokenmetrics.com\/blog\/bstocks-pass-1-billion-tokenized-stocks\/"},"modified":"2026-10-16T19:06:05","modified_gmt":"2026-10-16T19:06:05","slug":"bstocks-pass-1-billion-tokenized-stocks","status":"publish","type":"post","link":"https:\/\/tokenmetrics.com\/binance\/news\/bstocks-pass-1-billion-tokenized-stocks\/","title":{"rendered":"Binance Says bStocks Passed $1 Billion in Tokenized Stocks"},"content":{"rendered":"<h2>Signal Snapshot<\/h2>\n<ul>\n<li>Binance turned U.S. stocks into crypto tokens and passed $1 billion fast.<\/li>\n<li>Binance says bStocks topped $1 billion in assets under management. The figure covers the period since launch on June 11. It is measured as of Oct. 15.<\/li>\n<li>Outside data from rwa.xyz ranked bStocks first on Oct. 16. It placed bStocks ahead of Ondo and xStocks among tokenized stock platforms.<\/li>\n<li>The product started with five listings. Binance calls it the fastest tokenized equity product to reach $1 billion.<\/li>\n<li>The tokens are not shares. They are offered only to non-U.S. persons under an Abu Dhabi prospectus.<\/li>\n<li>The top risk is proof. The release cited Dune Research onchain data. No public Dune dashboard for bStocks could be found.<\/li>\n<\/ul>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li>What happened: Binance says bStocks passed $1 billion after launching in June with five listings.<\/li>\n<li>Why it matters: One exchange now leads the early race to put U.S. stocks on crypto rails.<\/li>\n<li>The real investor read: Rank means little without clear flows, redemptions, and proof of backing.<\/li>\n<\/ul>\n<h2>What Happened<\/h2>\n<p>Binance shared the milestone on Thursday. The news was posted on Oct. 16 at 1:55 pm ET. The assets cited were measured as of Oct. 15.<\/p>\n<p>The product is called bStocks. It offers tokenized U.S. equities to crypto users. The tokens went live on June 11 with five listings.<\/p>\n<p>Binance said <a href=\"https:\/\/unchainedcrypto.com\/binances-bstocks-lead-tokenized-stocks-after-crossing-1-billion\/\" target=\"_blank\" rel=\"noopener\">bStocks passed $1 billion<\/a> in assets under management. It pointed to Dune Research onchain data for the figure. The release did not share a link to that data.<\/p>\n<p>Binance also called bStocks the fastest tokenized equity product to hit $1 billion. The release did not name the products it compared against. That detail matters for readers who want to check the claim.<\/p>\n<p>Outside data backs the lead on size. Data from rwa.xyz on Oct. 16 <a href=\"https:\/\/unchainedcrypto.com\/binances-bstocks-lead-tokenized-stocks-after-crossing-1-billion\/\" target=\"_blank\" rel=\"noopener\">ranks bStocks first<\/a> among tokenized stock platforms. It placed bStocks ahead of Ondo and xStocks.<\/p>\n<p>There is one wrinkle on the speed claim. Ondo Global Markets said in May that its tokenized stocks had crossed $1 billion in total value locked. It said that happened less than eight months after launch. That is a different measure than assets under management.<\/p>\n<p>Unchained also noted it could not find a public Dune dashboard that tracks bStocks. So readers can see the claim. They cannot yet click through and check it live.<\/p>\n<p>The offer has clear limits. The tokens are not shares. They are offered only to non-U.S. persons under an Abu Dhabi prospectus. That shapes who can buy and where demand can come from.<\/p>\n<p>This is an adoption signal and a market-structure shift. It shows demand to trade U.S. stocks without leaving a crypto account. It also shows exchanges fighting to own that flow.<\/p>\n<p>For Token Metrics readers, the point is simple. Size gets headlines. Proof keeps them. Watch for clear data on backing, redemptions, and daily use.<\/p>\n<h2>Why It Matters<\/h2>\n<p>Tokenized stocks try to fix a simple pain. Many people hold crypto and want U.S. stocks in the same place. They do not want a second app. They do not want slow bank moves. They want one tap.<\/p>\n<p>Binance is built for that tap. It has users in many markets. It has deep liquidity. It has a brand people know. When it lists a new stock token, eyes follow.<\/p>\n<p>That is why $1 billion in about four months matters. It shows the idea is not just talk. Real money moved. Real users tried it. Other exchanges will notice.<\/p>\n<p>It also strengthens one crypto rail above the rest. That rail is tokenization. Tokenization puts real world assets on chain. Stocks are the clearest test. If stocks work, more assets can follow.<\/p>\n<p>But there is a second read. Tokenized stocks are not the same as stocks. Holders do not get shares. They get tokens that track price. Rights are different. Payouts can be different. Risk is different.<\/p>\n<p>That gap is key for trust. Users must know what backs each token. They must know how to redeem. They must know who holds the real shares. Clear answers build faith. Vague answers break it.<\/p>\n<p>Access limits also shape the story. The offer is for non-U.S. persons only. The U.S. is the biggest stock market in the world. So growth must come from other regions. That is still large. It is just not the whole map.<\/p>\n<p>For builders, the signal is clear. Make minting simple. Make pricing tight. Make proof easy to find. The team that does all three wins.<\/p>\n<p>For investors, the read is plain. Do not buy the headline alone. Ask where the $1 billion sits. Ask how fast it can leave. Ask what fees eat into returns.<\/p>\n<p>Token Metrics will keep focus on use, not hype. Headlines fade. Flows stay. Backing stays. 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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=\"binancecoin\"\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\">BNB<\/span>\n\t\t\t\t<span class=\"tm-tv-chart__ticker\">BNB<\/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 BNB\"\n\t\t\tstyle=\"height: 220px;\"\n\t\t><\/div>\n\t\t<figcaption class=\"tm-tv-chart__caption\">Live price for BNB \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(); return; }\n\t\t\tvar s = document.createElement('script');\n\t\t\ts.src = 'https:\/\/unpkg.com\/lightweight-charts@4.2.3\/dist\/lightweight-charts.standalone.production.js';\n\t\t\t\/\/ Subresource Integrity hash for the pinned 4.2.3 build.\n\t\t\t\/\/ Greptile P1 (PR #1470): without SRI, a compromised npm\n\t\t\t\/\/ package or a CDN MITM at this version would execute\n\t\t\t\/\/ arbitrary JS in every visitor's browser. 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\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\tupdateQuote(figure, data);\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 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\t\t<aside\n\t\tclass=\"tm-token-stats\"\n\t\tdata-tm-token-stats\n\t\tdata-tm-stats-id=\"binancecoin\"\n\t\tdata-tm-stats-lookback=\"365\"\n\t\taria-label=\"BNB key statistics\"\n\t>\n\t\t<header class=\"tm-token-stats__header\">\n\t\t\t<h3 class=\"tm-token-stats__title\">BNB \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 BNB (BNB) with Token Metrics\"\n\t\tdata-tm-token-card=\"binance\"\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\">BNB<\/span>\n\t\t\t\t<span class=\"tm-token-card__ticker\">BNB<\/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_binance#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 story sits in three buckets. The first is adoption. The second is product. The third is exchange competition.<\/p>\n<p>Adoption means real use. A product that holds more than $1 billion has found users. It launched on June 11 with five listings. By Oct. 15 it claimed ten figures. That is fast by any normal launch path.<\/p>\n<p>Product means design. bStocks are tokens tied to U.S. equities. They trade inside a crypto exchange. Users can move fast. They can trade around the clock where allowed. They do not need a stock broker screen.<\/p>\n<p>Exchange competition means share. rwa.xyz ranked bStocks first on Oct. 16. It put bStocks ahead of Ondo and xStocks. Rank can shift fast. But first place brings press. Press brings more users.<\/p>\n<p>The speed debate needs care. Binance says fastest to $1 billion. Ondo said in May it crossed $1 billion in total value locked in under eight months. Those are not the same yardstick. Assets under management and total value locked can differ. Time frames can differ. Methods can differ.<\/p>\n<p>Without shared rules, speed claims are hard to grade. Readers should ask for start dates. They should ask for end dates. They should ask for exact terms. Then they can compare fairly.<\/p>\n<p>The Dune point adds to that need. Binance cited Dune Research onchain data as of Oct. 15. No public Dune dashboard for bStocks could be found. That does not mean the number is wrong. It means outsiders cannot yet retrace it.<\/p>\n<p>Open data would help. A live dashboard would show mints. It would show burns. It would show wallets. It would show time stamps. That is how crypto builds trust.<\/p>\n<p>The legal wrapper also matters. The tokens are not shares. The offer uses an Abu Dhabi prospectus. It is only for non-U.S. persons. That tells us this is not a U.S. stock sale. It is an offshore token offer tied to stocks.<\/p>\n<p>That shape is common in crypto. Teams launch where rules are clear. They block where rules are tough. Growth then depends on demand in allowed zones. It also depends on banks, market makers, and custodians in those zones.<\/p>\n<p>What would make this matter less? Flat use after the headline. Weak volumes. Slow wallet growth. Quiet redemptions that eat the $1 billion lead. Any of those would turn a milestone into a moment.<\/p>\n<p>What would make it matter more? Daily proof of backing. Clear redemption times. Tight spreads that match normal stock hours and hold after hours. Those signs show a market, not a stunt.<\/p>\n<h2>Risks to Watch<\/h2>\n<p>First, watch proof risk. The $1 billion figure cites Dune Research data. No public dashboard could be found. If proof stays private, doubt will grow. If a live page ships, doubt will fade.<\/p>\n<p>Second, watch wording risk. Assets under management is not total value locked. Binance used the first term. Ondo used the second term in May. Mix those up and you compare apples to oranges.<\/p>\n<p>Third, watch legal risk. Tokens are not shares. Rights can differ in a stress event. Read the Abu Dhabi prospectus before you assume stock-like cover. Know who owes you what.<\/p>\n<p>Fourth, watch access risk. The offer bars U.S. persons. That cuts out a huge buyer base. Growth must come from elsewhere. Rules can also change by country. A new block in one large market would hurt.<\/p>\n<p>Fifth, watch backing risk. Someone must hold the real shares or hedges behind each token. If that chain breaks, price can slip from fair value. Ask who the custodian is. Ask how often holdings are checked.<\/p>\n<p>Sixth, watch exit risk. Minting is only half the job. Burning and cash out is the other half. Slow redemptions trap users. Fast redemptions free them. Test the exit, not just the entry.<\/p>\n<p>Seventh, watch rank risk. rwa.xyz put bStocks first on Oct. 16. Ranks move with flows. Ondo and xStocks are still in the race. A big mint or burn elsewhere can flip the board in days.<\/p>\n<h2>What to Watch Next<\/h2>\n<ul>\n<li>A public Dune page for bStocks. Look for a live link with mints, burns, and wallet counts. If it ships, save it. If it stays missing, treat speed claims with care.<\/li>\n<li>Fresh rwa.xyz ranks. Check if bStocks stays first ahead of Ondo and xStocks. Watch weekly shifts, not just one day. A lead that holds for weeks means more than a one-day top spot.<\/li>\n<li>Redemption proof in plain words. Look for how long cash out takes. Look for fees. Look for limits by time of day. Fast and cheap exits signal a healthy product.<\/li>\n<li>Backing details tied to the Abu Dhabi prospectus. Look for who holds the base shares. Look for audit times. Look for what happens if a base stock halts. Clear docs lower risk.<\/li>\n<li>Access updates by region. Look for new allowed or blocked countries. Look for changes to non-U.S. person rules. Each shift can add or drain demand fast.<\/li>\n<\/ul>\n<p>This is for information only. It is not investment advice. Do your own work before you act.<\/p>\n<h2>Sources \/ Data Used<\/h2>\n<ul>\n<li><a href=\"https:\/\/unchainedcrypto.com\/binances-bstocks-lead-tokenized-stocks-after-crossing-1-billion\/\" target=\"_blank\" rel=\"noopener\">Binance bStocks $1 billion report<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"Binance says its bStocks product topped $1 billion since launching in June. Outside data ranks it first among tokenized stock platforms. 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