Trade Ideas
"OpenClaw kind of you know made waves a lot of the agents were going to Base which was really interesting." While high-value transactions settle on Ethereum Mainnet, high-frequency or lower-value agent experimentation is happening on Base (Coinbase's L2). Increased activity on Base drives sequencer revenue directly to Coinbase. LONG COIN as a proxy for L2 agent activity on Base. Agents migrating to Solana or other non-EVM chains; regulatory scrutiny on Coinbase.
"They [AI Agents] go to where the applications are. They go to where the liquidity is... If they're doing massive transactions, they're going to go to Ethereum mainnet. I think it's the only answer right now." AI Agents require trustless settlement and deep liquidity to execute autonomous strategies (atomic swaps, rebalancing). They cannot risk execution on low-security chains. As the "Agentic Economy" scales in 2026, the demand for secure blockspace for high-value transactions will funnel almost exclusively to Ethereum, driving ETH demand. LONG ETH as the foundational currency of the machine economy. High gas fees on Mainnet could push agents to L2s or Solana faster than anticipated; failure of ERC-80004 adoption.
"Users in 2026 and 2027 are going to have autonomous market makers... If you're staking or lending, they're going to optimize your staking, lending, and liquidity provisioning." Humans are passive and slow; Agents are active and fast. Agents will actively manage portfolios 24/7, drastically increasing the velocity of money and interaction frequency within DeFi protocols. This increased volume and efficiency directly benefits the blue-chip protocols (Uniswap, Aave, Maker/Sky, Compound) that hold the majority of liquidity. LONG DeFi Blue Chips as the infrastructure layer agents will utilize. Smart contract bugs could be exploited by malicious agents at scale; regulatory crackdowns on autonomous finance.
This Unchained (Chopping Block) video, published March 07, 2026,
features Laura Shin, Robert Leshner
discussing COIN, ETH, MKR, UNI, AAVE, COMP.
3 trade ideas extracted by AI with direction and confidence scoring.
Speakers:
Laura Shin,
Robert Leshner
· Tickers:
COIN,
ETH,
MKR,
UNI,
AAVE,
COMP