- Buy Crypto
- Markets
- Futures
- Spot
- Copy Trade
Earn- More
Uniswap Founder: AMMs Outperform Order Books on Low-Liquidity Pairs, High-Volatility Tail Markets, and Mainstream Tokens
BlockBeats News, January 6th, Uniswap founder Hayden Adams wrote on the X platform, stating his strong opposition to the narrative of AMM (Automated Market Maker) disadvantage. He pointed out that in low-volatility currency pairs, AMM can provide stable returns for low-capital investors, thereby weakening the competitiveness of professional market makers. In high-volatility long-tail markets, AMM is the only scalable option, where project teams or early supporters act as liquidity providers (LPs), and their liquidity provision effect is superior to paying option fees to market makers.
Regarding high-volatility mainstream tokens, Hayden Adams stated that AMM is continuing to grow. Although the order book is currently in optimal state, the development of AMM is still in its early stages. Through the development of Hook in Uniswap v4, more profitable pools will be provided in the future. Hayden Adams believes that due to the advantages of low capital costs and liquidity being easier to bundle and collateralize, AMM will ultimately prevail in this field.
You may also like
Trend Research: 2026 Beyond Paradigm, WLFI Initiates Financial Ecosystem New Era
Preliminary Round Participant Insights — AOT Matrix: Left-Brain Analysis, Right-Brain Decisions in AI Trading
In the WEEX AI Trading Hackathon, AOT Matrix chose a more cautious path in system design — one that’s actually harder to pull off in a live trading environment. From the very start, they made clear choices about what role AI should and shouldn’t play in the trading system. We interviewed AOT Matrix about their decision-making logic, the multiple iterations of their system architecture, and what it’s like to implement it under WEEX’s real trading environment and engineering constraints.
Key Market Insights for January 7th, how much did you miss?
Six-Figure Target: The Top Airdrops to Watch in 2026
The US has had a president impeached twice, and Trump's platform says it's not an "insurrection."
2025 Crypto Card Annual Report: 40,000 Monthly Active Users, Average Spending of Less Than $100
2026 Crypto New Year's Rally: Cautiously Bullish Market Sets Sail
A “sexy casino,” where real-estate speculation has moved online.
Using Polymarket to predict U.S. home prices feels eerily reminiscent of the 2008 subprime mortgage crisis.
Stop obsessing over Alpha, the Beta the market gives you is more important
Why AI Tokens Are Rising Faster Than the Broader Crypto Market
AI tokens are outperforming — and not quietly. Bitcoin is moving. Ethereum is holding ground. Yet some of the strongest relative gains are coming from AI-labeled tokens, not majors, not memes. At first glance, this feels intuitive. AI is real technology. It’s shaping industries far beyond crypto. But markets rarely move on intuition alone — especially not this fast. When prices accelerate ahead of adoption, the more useful question isn’t “Is AI important?” It’s which version of the AI story the market is buying — right now.
Market Update — January 7
Bitmine has staked another 28,000 Ethereum, worth approximately $91.16 million.
In Dragonfly partner Haseeb's eyes, who is the greatest VC in crypto history?
Privacy Lane, a16z's Key Trends for 2026
After Lighter, the next batch of Perp DEXs Worth Keeping an Eye On
Doubling in a single day won't make up for a 98% crash - Did Parcl's 'Polymarket Story' Hold Up?
When a Shitcoin Loses Consensus, Where Can You Still Find Alpha?
Polymarket Settlement Dispute Intensifies, Ethereum Technical Roadmap Questioned, What's the Overseas Crypto Community Talking About Today?
Solana's "Phantom Tax"
Trend Research: 2026 Beyond Paradigm, WLFI Initiates Financial Ecosystem New Era
Preliminary Round Participant Insights — AOT Matrix: Left-Brain Analysis, Right-Brain Decisions in AI Trading
In the WEEX AI Trading Hackathon, AOT Matrix chose a more cautious path in system design — one that’s actually harder to pull off in a live trading environment. From the very start, they made clear choices about what role AI should and shouldn’t play in the trading system. We interviewed AOT Matrix about their decision-making logic, the multiple iterations of their system architecture, and what it’s like to implement it under WEEX’s real trading environment and engineering constraints.
App