## 1. All Weather Portfolio Omnichain Yield Aggregator --- # TOC 1. Subject 2. Problem 3. Product 4. Evidence: 1. Market Size 2. Performance Fee 3. Go-to Market Plan --- ### 2. Problem yields from lending/farming activities change rapidly. Therefore Time-consuming --- ## 3.1 Product 1. Our AMO strategies finds and allocates funds into the highest APR farming pool 1. 項目的 TVL 2. mean 30d APR 3. Audit report 3. Integrate Bridges Aggregators to find the best route to do cross-chain zap in 4. Our platform do the DD before implementing a new AMO strategy ## 3.1 Product - Strategy 如果換 pool 的開銷/新增的 rewards 能在 7 天內打平就換 * formula: Expense/APR-Spread < 7 days * expense: `deposit/exit fee + slippage + gas` * APR-Spread: New APR - Current APR ---- ## 3.2 Examples 1. Convex - 3/10/2023  ---- ## 3.2 Examples 2. Strike - 5/10/2023  ## 3.2 Examples 3. Equilibria - 12/10/2023  ---- ## 3.3 Product - Comparison  ---- ## 3.4 Product - Comparison  --- ## 4.1 Target Market Size: 126M Yearn's ETH + Origin + Sommelier ---- ## 4.2 Business Model - Performance Fee We take the smallest cut but having the highest yield 1. All Weather: 9.7% performance fee 2. Others: 20% performance fee ---- ## 4.3 Evidence - Go-to Market Plan 1 GP & LP model: 1. GPs & LPs take `80%` of the fee 2. Platform takes `20%` of the fee ---