Tren Finance (@trenfinance) 's Twitter Profile
Tren Finance

@trenfinance

The first fully autonomous AI controlled stablecoin borrowing protocol, where a network of 20+ agents eliminate human bias from DeFi. Powered by @arbitrum

ID: 1737005382697172992

linkhttps://link3.to/trenfinance calendar_today19-12-2023 07:02:16

617 Tweet

16,16K Followers

20 Following

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We might be down 8% on our chart, but that's better than being 99% down from market makers screwing us over. We keep building. Still a lot more to come.

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This week we released the Malone beta and the feedback has been incredible. DeFi's first peer-to-agent loan model is getting even better with each iteration. As we build, we have also executed our first $TREN buyback and burn. Weak hands have cleared out. Now it's time for the

This week we released the Malone beta and the feedback has been incredible. DeFi's first peer-to-agent loan model is getting even better with each iteration. As we build, we have also executed our first $TREN buyback and burn.

Weak hands have cleared out. Now it's time for the
Tren Finance (@trenfinance) 's Twitter Profile Photo

We are partnering with Equity Block to bring TrenOS, our network of AI agents, to synthetic equity markets. Our autonomous agents will optimize risk management and borrowing parameters for $EB and eASSETS like eTSLA, eNVDA, and eAAPL. Through this collaboration, $EB and

We are partnering with <a href="/EquityBlock_app/">Equity Block</a> to bring TrenOS, our network of AI agents, to synthetic equity markets. Our autonomous agents will optimize risk management and borrowing parameters for $EB and eASSETS like eTSLA, eNVDA, and eAAPL.

Through this collaboration, $EB and
Tren Finance (@trenfinance) 's Twitter Profile Photo

DeFi protocols spend millions on risk modeling, and these costs are inevitably passed on to users through higher borrowing rates and fees. Smaller protocols face an impossible choice: allocate a fortune to risk assessment or launch without proper safeguards. Our AI-driven risk

DeFi protocols spend millions on risk modeling, and these costs are inevitably passed on to users through higher borrowing rates and fees.

Smaller protocols face an impossible choice: allocate a fortune to risk assessment or launch without proper safeguards.

Our AI-driven risk