Valuation dated 2025-12-10 shows a set of USD-denominated ETFs with NAVs per unit ranging from $3.6563 to $10.4401; all listings include ISINs and units outstanding. The largest pools by units were ARK INV UCITS (IE000GA3D489) with 42.259,796 units at a NAV of 8.6843, ARK ART I&R (IE0003A512E4) with 33,667,602 units at a NAV of 10.4401, and CLASS USD ACC (IE00BLRPRR04) with 21,258,122 units at a NAV of 5.5927; other notable entries include RIZE CYBER (IE00BJXRZJ40) at 13,708,091 units (NAV 8.5742) and RIZE GS INF (IE000QUCVEN9) at 11,333,665 units (NAV 5.8594). These figures offer a concise snapshot of scale and pricing across the issuer cohort for portfolio sizing and liquidity considerations.
Valuation data dated 2025-12-10 lists a set of USD-denominated ETFs with NAVs per unit ranging from $3.6563 to $10.4401 and detailed unit counts by ISIN. The largest pools by units are ARK INV UCITS (IE000GA3D489) with 42,259,796 units at a NAV of $8.6843, ARK ART I&R (IE0003A512E4) with 33,667,602 units at $10.4401, and CLASS USD ACC (IE00BLRPRR04) with 21,258,122 units at $5.5927; RIZE CYBER (IE00BJXRZJ40) and RIZE GS INF (IE000QUCVEN9) hold 13,708,091 units (NAV $8.5742) and 11,333,665 units (NAV $5.8594), respectively. Implied AUMs from units × NAV are approximately $367.0m for ARK INV, $351.5m for ARK ART, $118.9m for CLASS USD ACC, $117.5m for RIZE CYBER and roughly $66m for RIZE GS INF, indicating concentration in the two ARK products (> $700m combined). The supplied sentiment output is neutral and market impact is very low (0.05), consistent with a routine NAV publication rather than a price-moving corporate event. For investors this is a liquidity-and-sizing snapshot: larger implied AUMs suggest easier execution and lower likelihood of material creation/redemption risk, while funds below ~$100m could face wider spreads and higher trading friction; the theme set (Market Technicals & Flows, Investor Sentiment & Positioning, Technology & Innovation) underscores that positioning and flows, not NAV changes, will drive near-term performance. The dataset lacks flow, secondary market volume, historical performance and bid/ask spread data, so any trading decision should be confirmed with intraday liquidity metrics and fund flow updates.
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