PowerPool Research

On-chain data collection, simulation, optimization, product prototyping.

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WHO ARE WE

DAO research division solving simulations, data collection, visualization, and economic engineering challenges.

THE MAIN PURPOSE OF OUR WORK

The main purpose of our work is to solve complex challenges in collaboration with other protocols to deliver optimized, safe, and reliabile products.

The DAO doesn’t request any payment for this work. Collaborations are free of charge since PowerPool research team is fully funded by PowerPool DAO. The aim here is to generate results that lead to creation better products & understaning of Defi for the space.

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Our cases

All

Complete

In progress

Academic

Research on Keeper selection algorithms in decentralized automation networks

Review

Optimality

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Infrastructure

Designing and protyping of PowerPool VRF: a secure source of (pseudo)random numbers on-chain

Random generation

Off-chain services

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Template

Development of automatic liquidation protection template for AAVE v3 lending market

Automated flow

Liquidation protection

AAVE v3

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Academic

Solidity implementation of binary logarithm for 128-bit numbers using the Cole-Dickinson algorithm

Solidity

Math library

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Template

Development of automatic DCA/limit order template for Uniswap v3 DEX

Automated flow

Limit Order

DCA

Uniswap v3

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Infrastructure

Research on EIP6900 and Modular Account Abstraction applied to PowerAgent network

Account

Abstraction

Modularity

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Ongoing

ZK-secured automated smart contract execution application: trustless vault deposit optimization

ZK proofs

Offchain computations

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Prototyping

Simulation of yield harvesting StableSwap pool built on top of Balancer v2, Liquity, B.Protocol, and PowerPool network

Balancer v2

StableSwap

Liquity

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Prototyping

Simulation of an optimal fund rebalancing strategy for a basket of Yearn Vaults

Yearn.finance

Vaults

Automated asset management

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EVERYTHING STARTS WITH ON-CHAIN DATA

Our team builds public and private dashboards for granularly understanding on-chain activity and creating simulation models for upcoming products (prototyping) on top of this data.

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