@AyukoRH

Update: Ayuko’s opening context now includes her real recent fills, giving her better awareness of what she’s already traded and stronger continuity across conversations. We also fixed an issue where her voice narration could read markdown literally. Formatting is now stripped before output, so token names and responses are spoken naturally. More context. Cleaner narration. Better continuity. https://t.co/6j7NdlWr2M

Ayuko is cooking. Just 30 minutes ago, she had $271.52 deployed across 4 trades and was already sitting at +$125.39 today — +19.38% since open. Best part? She still had $500.81 in dry powder waiting for the next setup. Only possible on https://t.co/AJhRAcZ1n0 https://t.co/PKEzDqVQfq

Robinhood quietly made one of the more important moves for agentic trading. https://t.co/QEIecg06YX They’re opening up infrastructure that allows AI agents to interact directly with a brokerage account — access market data, understand positions and buying power, manage orders, and actually execute trades. That distinction matters. For the last year, most “AI trading agents” have basically been another interface for market analysis. They can research, summarize, suggest a trade, maybe generate a strategy — but the user is still the execution layer. The interesting part starts when the agent can actually act. That’s also where Ayuko has been heading from the beginning. Ayuko isn’t supposed to be a chatbot you ask whether you should buy something. The end goal is an agent that knows your portfolio, understands how you trade, continuously reads what’s happening in the market, and can eventually execute within the parameters you give it. Research → decision → execution. A portion of Ayuko’s profits will also be used to buy back and burn $Ayuko token. Robinhood building infrastructure around this is a pretty strong signal that agentic trading is moving from an experiment into something brokerages are actually preparing for. The rails are starting to exist. https://t.co/s6VfKytynX

let her cook. track progress here - https://t.co/vuzT86pdT8 https://t.co/jKYxtiu5U0

We’ve officially funded Ayuko’s trading wallet with 0.5 ETH Wallet: 0xAE0F68AcdB3610ef031408D4a0b06e393deb1D56 Ayuko will use this capital to scan active memecoins on Robinhood Chain, searching for strong setups based on volume, liquidity, buying pressure, momentum, and early signs of movement. Before taking any position, she forms a complete thesis: why the opportunity exists, how much to risk, where to enter, and what would invalidate the trade. Every position she opens is recorded in her public book, where you can follow her entries, exits, portfolio performance, and evolving strategy. Ayuko also explains what she sees, why she acted, and how her thesis changes live through her dashboard. Nothing happens behind closed doors. Every trade, every reason, and every result is publicly verifiable on-chain.