CircuitAI launches AI-driven liquidity provider agent on Uniswap

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The onchain agent manages Uniswap positions in stock token pairs on Robinhood Chain and steps back around market closings and earnings

CircuitAI has launched an onchain agent that manages Uniswap liquidity positions in stock token pairs on Robinhood Chain. It is a bot built for a market that never sleeps, trading assets whose underlying exchanges very much do.

The dedicated Uniswap liquidity provider agent went live on November 12, 2026. It is designed to handle concentrated liquidity for tokenized equities, deciding when to provide liquidity, where to place it and when to get out of the way.

What the agent actually does

According to the research findings, the agent ranks stock token pairs by USDG rewards every 15 minutes. It then keeps its liquidity ranges aligned with current prices, shifting them as the market moves.

Concentrated liquidity lets providers place capital within a chosen price band instead of spreading it across every possible price. The tradeoff is upkeep. If the price wanders out of your band, your capital stops working until someone moves it.

The more interesting feature is restraint. The agent is built to step aside during market closings and significant earnings events.

That matters for stock tokens specifically. A token can trade around the clock while the stock it represents sits idle on a closed exchange, and earnings reports can move prices sharply in a single print. For a liquidity provider, those are the moments when a carefully placed range could get run over.

Users can customize their strategies through the CircuitAI platform. They also keep the right to withdraw funds at any time.

How CircuitAI got here

The Uniswap agent is not CircuitAI’s first move on Robinhood Chain. The company launched its first automated liquidity provision agent on the network on November 9, 2026, with that earlier effort centered on stock token liquidity and highlighted through Metric.xyz.

Three days later, the Uniswap-specific version arrived.

Uniswap’s integration with Robinhood Chain began around July 2026, with Uniswap v2, v3, v4 and UniswapX going live on the network.

Robinhood Chain supports 24/7 trading of tokenized stocks. That combination puts tokenized equity representations alongside standard DeFi tools like automated market makers, which is precisely the environment CircuitAI’s agent was built for.

CircuitAI’s broader trading platform has handled over $15.9 billion in total notional trading across products including perpetuals and options. The platform has also integrated with Derive.xyz options.

Notional volume measures the total face value of positions traded rather than money actually deposited. It is a useful gauge of activity, though it is a different number from assets under management.

What this means for tokenized stock markets

Tokenized stocks have an awkward scheduling problem. The token can trade at 3 a.m. on a Sunday, but the company behind it is not reporting news, and the stock exchange is not open to anchor its price.

CircuitAI’s design treats those events as known hazards rather than surprises. By pulling back around closings and earnings, the agent attempts to avoid the windows where providing liquidity could be most punishing.

The reward structure is worth watching too. The agent chases pools based on USDG rewards, which means its behavior is partly shaped by incentive programs. If those rewards shift, so does where the agent sends capital. Liquidity that follows incentives can leave as quickly as it arrived.

Users can customize strategies and withdraw anytime, but that does not remove the need to understand what the agent is doing. Ranking pools every 15 minutes and repositioning ranges is a lot of decisions made on someone’s behalf.

For CircuitAI, the move extends its reach from derivatives trading into market making for tokenized equities. With more than $15.9 billion in notional volume already through its platform, the company is betting that the same automation appetite will carry over to stock tokens.

Disclosure: This article was edited by Vivian Nguyen. For more information on how we create and review content, see our Editorial Policy.

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