DeFI and AMMs

Unfortunately, most liquidity providers in AMMs not only cannot make money, but actually end up with net losses as a direct result of impermanent loss which is loss of liquidity position value as a result of diverging price ratio between the two assets in the AMM pool.

Part of the challenge is access to off-chain datasets to model behaviours from tradfi, combined with lack of verifiability and explainability to compute dynamic fees to reduce net impermanent loss for liquidity providers.

At Reppo, modelers are incentivized to actively seek datasets to build, own, and moentize solutions for such problems on-chain, while ensuring e2e verifiable models and agents unlocking high-stakes use-cases of AI and ML within DeFi.