This tokenization commentary from Uniswap’s founder isn’t just something ordinary retail investors should watch for the excitement.
Hayden Adams said: Tokenization isn’t only about making trading faster and cheaper.
More importantly, different assets can be directly paired for trading on the same settlement layer, causing liquidity to concentrate into highly correlated assets.
For example: NVDA/SPY, oil companies/oil ETFs. With high correlation, LP inventory risk and hedging costs drop. That also gives AMMs the chance to carve out some of the market-making spread in traditional big markets.
The data is still limited, but the direction is clear. On the Robinhood Chain, the Uniswap pools for 10 tokenized stocks versus SPY—after going live for 12 days—have generated $33 million in volume, with more than 11,000 traders. It’s not a breakout in size, but it’s proving one thing: stock pools will first copy liquidity from highly correlated assets.
For ordinary retail investors, this news isn’t a signal to rush in right now. The pool has only been live for 12 days, and liquidity is still thin. The theoretical benefits of low slippage and low hedging costs probably haven’t translated into your actual execution price yet—so entering now is more like paying tuition to early liquidity providers.
What’s truly useful is a filter: when you see tokenized stock products in the future, don’t just count how many stocks it lists. Check whether it has pairs with highly correlated assets (a single stock paired with its ETF/benchmark index). The ones designed this way are aiming for long-term liquidity. Those that simply pile up asset counts are likely still just a gimmick.
Would you wait until the pool’s liquidity becomes deeper before entering, or are you willing to jump in now and be an early user to test the waters?
#Uniswap #代币化 #HaydenAdams #AMM #RWA
Hayden Adams said: Tokenization isn’t only about making trading faster and cheaper.
More importantly, different assets can be directly paired for trading on the same settlement layer, causing liquidity to concentrate into highly correlated assets.
For example: NVDA/SPY, oil companies/oil ETFs. With high correlation, LP inventory risk and hedging costs drop. That also gives AMMs the chance to carve out some of the market-making spread in traditional big markets.
The data is still limited, but the direction is clear. On the Robinhood Chain, the Uniswap pools for 10 tokenized stocks versus SPY—after going live for 12 days—have generated $33 million in volume, with more than 11,000 traders. It’s not a breakout in size, but it’s proving one thing: stock pools will first copy liquidity from highly correlated assets.
For ordinary retail investors, this news isn’t a signal to rush in right now. The pool has only been live for 12 days, and liquidity is still thin. The theoretical benefits of low slippage and low hedging costs probably haven’t translated into your actual execution price yet—so entering now is more like paying tuition to early liquidity providers.
What’s truly useful is a filter: when you see tokenized stock products in the future, don’t just count how many stocks it lists. Check whether it has pairs with highly correlated assets (a single stock paired with its ETF/benchmark index). The ones designed this way are aiming for long-term liquidity. Those that simply pile up asset counts are likely still just a gimmick.
Would you wait until the pool’s liquidity becomes deeper before entering, or are you willing to jump in now and be an early user to test the waters?
#Uniswap #代币化 #HaydenAdams #AMM #RWA