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MoonPay CEO Ivan Soto-Wright describes how he's using his MoonPay agent to buy and trade tokenized stocks: "I tell it every day, 'Pick a cool tokenized stock and give me your thesis on it.' Then I approve it directly from my Telegram interface."

TBPN

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17,099 次观看 • 5 个月前 •via X (Twitter)

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After Robinhood presentation on July 1st I started to do my tradings with an AI agent. It completely changed the game. Then I gave a single prompt: buy the most culturally significant asset it can find on it skipped every tokenized stock and aped $CASHCAT Vlad Tenev your chain's culture is officially a cat sir 🐈

After Robinhood presentation on July 1st I started to do my tradings with an AI agent. It completely changed the game. Then I gave a single prompt: buy the most culturally significant asset it can find on it skipped every tokenized stock and aped $CASHCAT Vlad Tenev your chain's culture is officially a cat sir 🐈

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HOW TO USE THE JUICE AUTO TRADER 📊 You could spend years learning how to trade crypto memecoins, majors, and tokenized stocks. Then stay locked in watching charts every day to react. Or you could just use the Juice autonomous trading agents. We made it that simple.

HOW TO USE THE JUICE AUTO TRADER 📊 You could spend years learning how to trade crypto memecoins, majors, and tokenized stocks. Then stay locked in watching charts every day to react. Or you could just use the Juice autonomous trading agents. We made it that simple.

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is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):

is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):

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Liquidity is one of those things you don't think about until it starts costing you money. I tested Bitget’s rToken by placing a trade on a tokenized US stock to see how the execution actually felt. For anyone unfamiliar, rToken lets you trade tokenized US stocks like rAAPL, rTSLA, and rNVDA, with each token backed 1:1 by an actual share. The biggest difference I noticed wasn't the interface, it was the execution. My order filled quickly, the spread stayed tight, and I didn't experience noticeable slippage on the trade. Compared with some tokenized asset platforms that rely more heavily on market makers and thinner liquidity, rToken is connected to deep liquidity linked to the underlying NASDAQ and NYSE markets. That can make a meaningful difference when markets are moving fast, because execution quality matters just as much as price. This isn't about promising better returns. It's about understanding that good liquidity can mean cleaner fills, tighter spreads, and less slippage.

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Clawdbot creator Peter Steinberger 🦞 describes his mind-blown moment: it responded to a voice memo, even though he hadn't set it up for audio or voice. "I sent it a voice message. But there was no support for voice messages. After 10 seconds, [Moltbot] replied as if nothing happened." "I'm like 'How the F did you do that?'" "It replied, 'You sent me a message, but there was only a link to a file with no file ending. So I looked at the file header, I found out it was Opus, and I used FFmpeg on your Mac to convert it to a .wav. Then I wanted to use Whisper, but you didn't have it installed. I looked around and found the OpenAI key in your environment, so I sent it via curl to OpenAI, got the translation back, and then I responded.'"

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