Crypto’s next big trade may not be a new token at all. In a new market-structure thesis, $HTX Research argues that on-chain U.S. equity perpetuals could become the next major opportunity, shifting attention from speculative token narratives toward American stocks, especially AI-linked names and pre-IPO trades.
That idea matters because it points to a deeper change inside crypto. The industry already has fast, global, always-on trading rails. However, it often lacks a steady supply of assets with real fundamentals, dense news flow, and broad investor attention. U.S. equities, the report argues, fit that gap better than much of the current crypto menu.
The result is a striking claim: price discovery for U.S. stocks may be starting to develop a parallel track on-chain, built by wallet-based traders using perpetual futures, stablecoin margin, and crypto-native trading habits rather than traditional brokerage accounts.
Why U.S. equities are becoming crypto’s next trading frontier
$HTX Research’s core argument is blunt. The next crypto opportunity may be trading U.S. equities on-chain, not chasing another token cycle.
From token narratives to real assets
The report frames this as a product-market fit story as much as a market story. Crypto trading infrastructure has matured around perpetual futures, $USDT and $USDC margin, on-chain wallets, CLOB and AMM liquidity, funding rates, and automated liquidations. But as that infrastructure gets better, the shortage of durable, high-quality assets becomes more obvious.
That helps explain why U.S. stocks are getting fresh attention from crypto traders. They come with fundamentals, earnings, supply-chain developments, product cycles, capital spending, regulation, and corporate events that can drive real volatility. In the report’s framing, they offer a more durable trading substrate than many short-lived token narratives.
It also helps that tokenized stock activity is no longer theoretical in the report’s data set. The text cites roughly $1.08 billion in tokenized stocks value, around $2.3 billion in monthly transfer volume, and about 190,000 holders.
Why crypto users want equity exposure
$HTX Research says on-chain U.S. equity perpetuals are a better fit than traditional brokerages for crypto users. The reasoning is practical, not philosophical: crypto traders are used to wallet logins, stablecoin collateral, leverage, shorting, and near-constant market access.
That makes these products look less like a replacement for Robinhood-style ownership and more like a trading format designed for a different user base. In the report’s view, many of these users do not want to open cross-border brokerage accounts or hold stocks for years. Instead, they want to trade events, earnings, listings, and volatility windows.
Why this matters: if that thesis holds, crypto trading infrastructure stops being a closed system for BTC, ETH, SOL, and altcoins. It starts becoming a distribution layer for global assets.
How on-chain U.S. equity perpetuals work in practice
The report highlights three models for on-chain U.S. equity trading: TradeXYZ, Ostium, and Lighter. Each points to a different vision of how crypto trading infrastructure can absorb traditional assets.
TradeXYZ, Ostium, and Lighter
TradeXYZ is presented as a crypto-native price discovery layer, especially for pre-IPO perps and listed-stock contracts. Ostium, built on Arbitrum, is described as a more professional RWA trading venue spanning stocks, indices, commodities, and FX. Lighter is framed as a high-performance exchange model built around a ZK-rollup CLOB approach.
The broader message is that on-chain U.S. equity perpetuals are not just one product. They are emerging through multiple architectures:
- asset-issuance and discovery venues
- RWA-focused leveraged trading systems
- exchange infrastructure optimized for performance and order-book execution
That variety is important. It suggests the category is expanding beyond a single niche experiment.
What makes them different from brokerages
Traditional brokerages still dominate on custody, compliance, and direct ownership. But the report argues that they are often a poor match for crypto-native habits. Onboarding can be heavier, trading hours are restricted, leverage can be limited, and moving fiat across borders can be slow.
By contrast, on-chain U.S. equity perpetuals are pitched as always-on or near-always-on instruments that can be margined in $USDC or $USDT, traded long or short, and connected to DeFi tools, strategy systems, and social trading flows.
That difference may be the strongest “why this matters” point in the whole thesis. If the winning product is not stock ownership but stock volatility in crypto form, then the competitive set shifts from brokerages to exchanges and perp venues.
The report also says $HTX had listed 66 TradFi perpetuals as of May 21, 2026. That count is used to show how quickly the exchange side of the market is broadening beyond crypto-native tokens.
At the same time, $HTX says it launched $HTX AI Skills for the AI Agent ecosystem. The capability is described as enabling AI-driven spot and futures actions, including market orders, limit orders, order cancellation, leverage adjustment, and take-profit or stop-loss settings.
Cerebras shows how pre-IPO perps can move price discovery
The strongest case study in the report is Cerebras Systems, which $HTX Research cites as a landmark validation for on-chain pre-IPO perpetuals.
The pricing surge before the IPO
According to the report, on-chain pricing for Cerebras on TradeXYZ surged from the $290 range to $380. It also says Cerebras priced its traditional IPO at $185 before opening at $350.
That gap is what gives the example its force. $HTX Research argues the Cerebras listing showed that on-chain markets were not simply echoing traditional pricing but building an active, public expectation market ahead of the IPO.
The report treats this as more than a one-off trading spike. It says the recent listing of Cerebras Systems served as a landmark validation for on-chain pre-IPO perpetuals, because it demonstrated that crypto-native markets could express price views before the conventional public-order-book process fully played out.
Why private-market pricing is shifting
This is where the thesis gets more ambitious. Traditional private secondary markets such as Forge and Hiive are built around real equity transfers, but they can be gated, fragmented, slower to update, and largely inaccessible to ordinary global traders.
Pre-IPO perps work differently. They do not require stock delivery. They allow long and short positioning. They run through public trading venues, use margin, and aggregate expectations in real time.
That means the disruption is not just about access. It is about who gets to help form a price.
In the report’s framing, U.S. equity price discovery is developing a parallel track. If that continues, pre-IPO names tied to AI and technology could become one of the clearest intersections between crypto liquidity and traditional equity demand.
AI equities are becoming a crypto-native trading theme
$HTX Research also argues that AI equities are not just a megacap story. They are increasingly a supply-chain trade, with opportunities spreading across memory, interconnect, networking, power, cooling, and ASICs.
The AI supply chain trade
The report says the AI thesis for 2026 to 2028 can be understood through one broad idea: enabling cheaper, more abundant, and more efficient tokens. From that view, Nvidia is only one piece of the market.
The text maps AI exposure across several bottlenecks and supplier layers, including:
- memory and storage
- I/O and high-speed interconnect
- networking and optical communications
- power and cooling
- custom ASICs
That framing is useful for crypto traders because it turns equities into rotating volatility clusters rather than static long-term holdings. The report describes AI equities as a supply-chain diffusion story, where capital can move from GPUs to HBM, then to optical links, then to power systems, then to chip design and infrastructure.
$HTX as an AI x RWA x derivatives gateway
$HTX’s role in the report is not limited to listing contracts. The platform is presented as trying to connect three trends at once: AI, Real-World Assets, and derivatives.
The first piece is asset expansion. The report says $HTX had listed 66 TradFi perpetuals as of May 21, 2026, spanning pre-IPO names, AI and tech megacaps, Wall Street blue chips, commodities, precious metals, indices, and sector ETFs.
The second piece is interaction. $HTX says it launched $HTX AI Skills for the AI Agent ecosystem, giving AI systems the ability to understand and execute spot and futures trading tasks using natural language.
Taken together, that positioning matters because it shows where exchanges think the next competition may happen. Not just on token listings, but on who becomes the gateway for trading global assets through crypto rails.
The hard part: pricing, market closures, and corporate actions
The report is also clear that the category has real technical complexity. The biggest challenge for on-chain U.S. equity perpetuals is pricing when the underlying stock market is closed.
Crypto trades around the clock. U.S. equities do not. That creates a difficult question for oracle pricing, especially during weekends, holidays, and off-hours when news still breaks but external spot prices may be limited or unavailable.
The text describes different approaches across platforms. Some systems lean more heavily on external feeds and internal order-book smoothing. Others align more tightly with market hours. Others reduce risk by limiting position expansion during closures.
Corporate actions add another layer. Dividends, splits, and ex-dividend adjustments can create arbitrage or tracking problems if perpetual contracts are not designed carefully. In other words, bringing stocks on-chain is not just about listing a ticker. It means rebuilding a whole set of market mechanics that crypto perps usually do not need.
That is another reason the shift is worth watching. If these products keep growing despite the complexity, it would suggest demand is strong enough to justify building a more complete version of equity trading inside crypto infrastructure.
What changes if the thesis is right
The report’s larger point is that crypto may be moving from “trading crypto” to trading global assets through crypto-native systems.
If that happens, the winners may not just be token issuers. They may be the venues that can package U.S. stocks, pre-IPO perps, AI-sector volatility, stablecoin settlement, and AI-assisted execution into one coherent trading environment.
For years, the promise of RWAs often centered on tokenizing ownership. This thesis shifts the focus to tokenizing access, liquidity, and price discovery instead. And if Cerebras was an early signal, the next battleground may be less about inventing the next coin than about deciding where the market prices the next big company first.
