By How Does Silhouette’s RFQ System Work?
Silhouette has launched its request-for-quote system on Hyperliquid mainnet, introducing a new way to trade tokenized equities without requiring every asset to maintain its own order book. The block trading layer initially supports xStocks, Payward’s tokenized equity framework. Traders can request a quote for a supported xStock, receive competing prices from onboarded market makers and select the winning quote, with the transaction settling onchain. The structure differs from conventional exchange trading, where buyers and sellers interact through a continuously updated order book. Under Silhouette’s RFQ model, liquidity providers compete directly for individual trades, which could make it easier to support tokenized shares that have not yet generated enough activity for a standalone market. Silhouette said assets that attract sufficient trading flow through the RFQ system can later graduate to dedicated HyperCore markets. That creates a potential route from relatively thin initial trading to a conventional order-book market if demand develops. “Tokenized stocks keep arriving onchain, and most of them have nowhere to trade,” Silhouette founder Chandler De Kock said. “Market makers compete for every trade, settlement is onchain, and the assets that prove real flow graduate to their own HyperCore markets.”Why Could RFQ Trading Matter For Tokenized Equities?
Tokenizing a stock does not automatically create a liquid secondary market. Each new asset normally needs buyers, sellers and market makers willing to maintain quotes, which becomes harder as the number of tokenized securities increases. An RFQ model can reduce that problem by allowing multiple assets to draw on the same group of liquidity providers rather than requiring dedicated order books from launch. This could be particularly useful for tokenized shares outside the handful of large technology companies that already attract substantial crypto trading interest. The structure may also appeal to traders executing larger transactions. Instead of placing a large order into a relatively shallow market and potentially moving the price, a trader can ask several market makers to compete for the entire transaction. For Hyperliquid, the launch adds another route for bringing real-world assets into its trading ecosystem. The more important test will be whether RFQ activity produces recurring volume rather than one-off interest around newly tokenized stocks.Investor Takeaway
Silhouette is addressing one of tokenized equities’ main trading problems: new assets need liquidity before they can support active order books. An RFQ layer lets market makers compete for that flow first, while the most heavily traded tokens can later move into dedicated HyperCore markets.
