had to call my dopamine deprived friend on phone to not leverage today

>arbitrage bot crashed right before yesterday’s volatility event >mfw

Check in with your friends

deep meaning this

Excellent overview! Cash is always at the top of these lists, and we'll only continue to ship more features to make the product even more useful.🚀🚀

As of Python 3.14, the free-threaded (or no-GIL) version of the Python interpreter is no longer considered experimental.

Is this better bet over other yield sources that base themselves on funding rate arb (since it has been decreasing lately), idts kek

if you are salivating looking at ~30% APY for USDai, then know that USDai is being sold at least 6% premium already, and in plasma, you are probably getting ~15% apy or around ~5.5% of "realized yield" the demand is insane holy shit

don't get too happy, indian govt would probably shit out some CBDC

The ethos behind blockchain and open source is transparency. And when a team reflects transparency even in their decision-making for everyone, you know how committed they are to the cause 🫡🫡 Gg @hyperlendx

🚀 We’re at @token2049 Singapore – the world’s largest crypto event! 🌏✨ Come say hi to the BlockAnalitica team 👋 #TOKEN2049 #Singapore #Crypto #DeFi

On Monday, the Sphere dashboard recorded 330 liquidation events, totaling $17.54M in collateral liquidated and $16.64M in debt repaid across DeFi protocols. Here's a breakdown of that volatile 24-hour window:

it's that time of year when you revisit this classic

Absolutely insane demand for @yieldbasis on @legiondotcc. Over $135m in allocation requested for a $5m cap.

X is deeply concerned by the recent order from the Karnataka court in India, which will allow millions of police officers to issue arbitrary takedown orders through a secretive online portal called the Sahyog. This new regime has no basis in the law, circumvents Section 69A of

@Hyperlendx's transparency deserves credit, parameter changes were explained to the community upfront, and the protocol has stayed true to that standard. Risk clarity builds trust.

The outcome also validated our risk models. Before listing, we ran extensive Monte Carlo “bank-run” simulations using historical LST depeg data. The proposed parameters held up, and this live stress confirmed it.

This is how risk should be quantified in DeFi markets: parameters that keep lenders safe from systemic loss while letting borrowers loop with confidence. Too often systems pick one side, our design proves you can protect both.

This design ensures lenders are insulated from smart-contract or depeg risk, while borrowers are also protected from market noise. The 75% LTV vs 80% LT buffer provided further stability during volatility. As mentioned in our proposal: