$R3ORDR
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If you're curious to see how enterprise-grade yield strategies are designed, you'll enjoy this one. On his visit to @therollupco , @admff492 explained how Sentora operates, the use of agentic AI in market research, and how to keep up with the industry's pace. [Spoken audio]: So how do we look at the strategies? We have a risk council that sets the parameters for each fault. So when we went to Kraken, they wanted yields above 5%, but they didn't want to take on depegging risk. They didn't want to take on RWAs that were too volatile in price. So typically for every client, we create a prospectus as if you're buying an ETF. We basically agree with the partner. Here's the parameters. Here's the assets. Here's the protocols. Here's the amount of leverage. Here's the amount of duration we'll take. How quickly the money can move in and out of the vaults. And then we have a heavily built out AI strategy. So we have one AI agent that identifies opportunities across multiple chains, and that runs at will, but usually we get a batch run in the morning and the afternoon. And then we run another agent that tries to pick holes in the risk strategies, like where can these strategies hurt, what are the biggest drawdowns. And then finally, when all the data is prepared, we make a decision and then our smart contracts auto-execute. It's very similar to how an asset management firm would work, but using smart contracts and AI agents to make it much more efficient because you have to make the risk decisions 24-7, 365, for crypto doesn't get a long weekend because it's US Independence Day. So we need these tools that work faster.