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DXYZ, VCX Stocks Catch IPO Fever: Traders Chase SpaceX, OpenAI And Anthropic For Valuations Rivaling TSLA, META

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DXYZ, VCX Stocks Catch IPO Fever: Traders Chase SpaceX, OpenAI And Anthropic For Valuations Rivaling TSLA, META

Prediction markets are pricing a blockbuster IPO wave: SpaceX’s most likely first-day valuation is $2 trillion-$2.5 trillion (37% odds), while Kalshi assigns 92% odds to an OpenAI IPO this year and 69% odds to Anthropic. Retail proxies DXYZ and VCX jumped 27% and 18% on the speculation, with DXYZ heavily exposed to SpaceX and VCX tilted toward Anthropic, OpenAI and SpaceX. Deutsche Bank cautioned that the valuations look stretched versus Berkshire Hathaway’s $1 trillion market cap and $350 billion-plus annual revenue, highlighting a disconnect between hype and fundamentals.

Analysis

The main market signal is not that mega-private names can list at rich valuations, but that retail is using any listed proxy with embedded optionality as a levered call on a narrow set of future liquidity events. That tends to be self-reinforcing over days to weeks: rising NAV expectations attract flow, flow lifts the wrapper, and the wrapper’s price then becomes the “proof” that the implied private marks are real. The problem is that these vehicles are structurally vulnerable to a reversal if primary issuance timing slips even a quarter, because the current bid is driven more by event convexity than by fundamental cash flow. The second-order winner is likely Nasdaq and, to a lesser extent, other market plumbing beneficiaries rather than the IPO candidates themselves. A sustained pipeline of oversized tech offerings supports listing fees, index-adjacent trading volume, and derivatives activity, while also giving large-cap comps like TSLA and META an easier relative-valuation anchor if the market starts treating trillion-dollar outcomes as normalized. The loser is existing late-stage private holders in vehicles that have become crowded consensus trades: once the market has already capitalized multiple rounds of future upside, any delay, down-round, or weaker-than-expected governance terms can compress these closed-end discounts quickly. The contrarian miss is that the market is pricing “IPO this year” and “trades at the moon” as one trade, but those are separate risks. Near-term IPO probability can be high while first-day valuation expectations still mean-revert if the books are built conservatively or if insiders push for wider distribution rather than a maximal print. That creates a classic sentiment trap: the trade works best before filing and pricing, then becomes vulnerable immediately after the headline everyone was waiting for prints. DB’s skepticism is directionally right, but the more useful takeaway is that a valuation reset may not hit the private company directly first; it can hit the public proxies and sentiment basket first. That argues for positioning around the wrapper/comp names rather than chasing the private names in the secondary imagination. Time horizon matters: this is a days-to-weeks flow trade, not a months-long fundamental rerating unless the IPO window actually opens with multiple high-quality deals and tight spreads.