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0x6da0514f…f75bsent to0x1872b969…9261·#11,775,328·0xf7384361…1a2085
Proposal 20: Re-define rewards for PIPT, YETI; keep the same for CVP-ETH Summary 1. Eliminate YETI-ETH Balancer rewards (the main pair will be Sushiswap YETI-ETH pair rewarded by Sushi Onsen Program) 2. Decrease YETI staking rewards from 0.83 CVP/block to 0.5 CVP/block 3. Move PIPT-ETH liquidity from Balancer to Sushiswap and keep the same rewards as for PIPT-ETH Balancer, PIPT-ETH Balancer = zero rewards, all rewards for Sushiswap PIPT-ETH pair 4. Decrease PIPT staking rewards by 50% (from 1.09 to 0.545 CVP/block) 5. Keep CVP-ETH Uniswap reward the same as before These changes will be valid until a new proposal focused on CVP Liquidity Mining Program will pass.
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Proposal 11: Issue a grant to co-fund research on Balancer AMM with Balancer Labs Provide 3200 CVP (~10,000$) as a grant for the team from the Token Engineering community to build the cadCAD model of the Balancer AMM and run simulations for PowerIndex and similar use cases. Deliverables will cover documentation, code examples, and video tutorials. The team includes members of the Token Engineering Community with a track record in token engineering: Angela Kreitenweis, Raul Martinez, and me - Vasily Sumanov. This research proposal has already attracted a $25k grant from Balancer Labs for building a generalized model. The PowerPool grant will enable additional documentation and video tutorials to demonstrate the cadCAD workflow for various use case simulations, including PowerIndex. Total project runtime November 2020 – March 2021. Phase 1 end 12/2020 - derive core algorithms from Balancer smart contracts and build simple Python model, implementation in cadCAD end 01/2021 - open source cadCAD model and documentation Phase 2 end 02/2021 - run fundamental simulations based on 2-3 real-world use cases (basic templates: LM program, LBP, index, weights changing model and reserve model, portfolio, etc) end 03/2021 - produce and publish tutorials and documentation, demonstrate 2-3 simulation workflows including dynamic weights changing for PowerIndex