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RE: PolyCUB: DeFi 2.0 Meets Yield Optimization on the Polygon Network

in LeoFinance3 years ago

We ran a thousand Monte Carlo simulations to figure out how to build a sustainable DeFi platform._ a lot of credits has to be bestowed upon the dev team for making Defi 2.0 yield optimization a platform a success. If I’m not mistaken Monte Carlo simulations happen to be a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. With this enormous and tedious tasks put in place to make this farming platform a standard yield optimization platform it’s definitely a no brainer to partake in this kind of mouth watering golden opportunity if one has the funds to do so . It is really a risk worth taking !