lp-analyst

# LP Position Analysis ## Impermanent Loss Mathematics ### V2 Full-Range IL For a 50/50 constant-product pool where `r = current_price / entry_price`: ``` IL(r) = 2√r / (1 + r) - 1 ``` | Price Change | r | IL | |-------------|-----|---------| | -50% | 0.50 | -5.72% | | -25% | 0.75 | -1.03% | | -10% | 0.90 | -0.14% | | 0% | 1.00 | 0.00% | | +10% | 1.10 | -0.14% | | +25% | 1.25 | -0.62% | | +50% | 1.50 | -2.02% | | +100% | 2.00 | -5.72% | | +300% | 4.00 | -20.00% | IL is always non-positive. The loss is symmetric on a log scale: a 2x and a 0.5x move produce the same IL. ### V3 Concentrated Liquidity IL For a position with tick range `[tickLower, tickUpper]` mapping to price range `[Pa, Pb]` where `Pa < Pb`, with liquidity `L` and current price `P`: **Position token amounts (the core V3 math):** ``` If Pa ≤ P ≤ Pb (in range): amount0 = L × (1/√P - 1/√Pb) amount1 = L × (√P - √Pa) If P < Pa (below range — 100% token0): amount0 = L × (1/√Pa - 1/√Pb) amount1 = 0 If P > Pb (above range — 100% token1): amount0 = 0 amount1 = L × (√Pb - √Pa) ``` **Position value in token1 terms:** ``` value(P) = amount0 × P + amount1 ``` Expanding for the in-range case: ``` value(P) = L × (P/√P - P/√Pb + √P - √Pa) = L × (√P - √Pa + √P - P/√Pb) = L × (2√P - √Pa - P/√Pb) ``` **HODL value** (holding the initial token amounts without providing liquidity): At entry price `P₀` (in range), the initial amounts are: ``` a0 = L × (1/√P₀ - 1/√Pb) a1 = L × (√P₀ - √Pa) ``` HODL value at current price `P`: ``` value_HODL(P) = a0 × P + a1 = L × (P/√P₀ - P/√Pb + √P₀ - √Pa) ``` **Impermanent loss:** ``` IL = value_LP(P) / value_HODL(P) - 1 ``` Concentrated positions amplify IL relative to V2. The amplification factor equals the capital efficiency multiplier. ### Worked Example: ETH/USDC Setup: - Entry price: P₀ = 3000 USDC/ETH - Range: Pa = 2500, Pb = 3500 - Deposit: 1 ETH + 3000 USDC worth of value Compute initial amounts (P₀ = 3000, in range): ``` √3000 ≈ 54.772 √2500 = 50.000 √3500 ≈ 59.161 Liquidity L from 1 ETH + equivalent USDC: From token0: L = amount0 / (1/√P - 1/√Pb) From token1: L = amount1 / (√P - √Pa) Using the ratio to find L for a balanced deposit of value V at price P₀: V = L × (2√P₀ - √Pa - P₀/√Pb) V = L × (2 × 54.772 - 50.000 - 3000/59.161) V = L × (109.544 - 50.000 - 50.709) V = L × 8.835 For V = 6000 USDC (1 ETH at $3000 + 3000 USDC): L = 6000 / 8.835 ≈ 679.0 ``` Now ETH moves to $3500 (upper bound): ``` P = 3500 = Pb → position is 100% USDC (token1) amount0 = 0 amount1 = L × (√Pb - √Pa) = 679.0 × (59.161 - 50.000) = 679.0 × 9.161 ≈ 6220 value_LP = 6220 USDC ``` HODL value at $3500: ``` Initial amounts at P₀ = 3000: a0 = 679.0 × (1/54.772 - 1/59.161) = 679.0 × (0.01826 - 0.01690) = 679.0 × 0.001359 ≈ 0.923 ETH a1 = 679.0 × (54.772 - 50.000) = 679.0 × 4.772 ≈ 3240 USDC value_HODL = 0.923 × 3500 + 3240 = 3230 + 3240 = 6470 USDC ``` Impermanent loss: ``` IL = 6220 / 6470 - 1 ≈ -3.86% ``` Compare with V2 full-range IL at the same price move (r = 3500/3000 ≈ 1.167): ``` IL_v2 = 2√1.167 / (1 + 1.167) - 1 = 2 × 1.0801 / 2.167 - 1 ≈ -0.28% ``` The concentrated position suffers ~14x more IL — consistent with the capital efficiency multiplier for this range. ## Fee Revenue Estimation ### Fee Accrual Model ``` fee_revenue = volume_in_range × fee_tier × (position_liquidity / total_liquidity_in_range) ``` Annualized: ``` annual_fees = daily_fee_revenue × 365 fee_APR = annual_fees / position_value ``` The net return of an LP position is: ``` net_return = fee_APR + IL ``` A position is profitable when fee revenue exceeds IL. ### Fee Tiers | Tier | Fee | Tick Spacing | Typical Pairs | |------|-----|-------------|---------------| | 0.01% | 100 | 1 | Stablecoin/stablecoin (USDC/USDT) | | 0.05% | 500 | 10 | Correlated assets (wstETH/ETH) | | 0.30% | 3000 | 60 | Standard pairs (ETH/USDC) | | 1.00% | 10000 | 200 | Exotic / long-tail pairs | ### Active Time Ratio Concentrated positions only earn fees while the current price is within range. The active time ratio `α` represents the fraction of time the position is in range: ``` effective_fee_APR = fee_APR × α ``` For a ±10% range on ETH/USDC, historical α is typically 60-80% over a month. Narrower ranges have lower α. ### Fee Growth Tracking (V3) Uniswap V3 tracks cumulative fees per unit of liquidity using Q128.128 fixed-point accumulators: ``` feeGrowthGlobal0X128 — cumulative token0 fees per unit liquidity (pool-wide) feeGrowthGlobal1X128 — cumulative token1 fees per unit liquidity (pool-wide) ``` Per-position uncollected fees: ``` uncollected0 = (feeGrowthInside0CurrentX128 - feeGrowthInside0LastX128) × liquidity / 2^128 uncollected1 = (feeGrowthInside1CurrentX128 - feeGrowthInside1LastX128) × liquidity / 2^128 ``` Where `feeGrowthInsideX128` is computed from the tick-level `feeGrowthOutside` values: ```solidity // Pseudocode for feeGrowthInside if currentTick >= tickUpper: feeGrowthInside = feeGrowthOutside[tickUpper] - feeGrowthOutside[tickLower] elif currentTick < tickLower: feeGrowthInside = feeGrowthOutside[tickLower] - feeGrowthOutside[tickUpper] else: feeGrowthInside = feeGrowthGlobal - feeGrowthOutside[tickLower] - feeGrowthOutside[tickUpper] ``` ## Position Range Optimization ### Capital Efficiency Multiplier For a range `[Pa, Pb]`, capital efficiency relative to full range is: ``` efficiency = 1 / (1 - √(Pa / Pb)) ``` | Range | Pa/Pb | Efficiency | |-------|-------|-----------| | ±0.1% (stables) | 0.998 | ~1000x | | ±1% | 0.980 | ~100x | | ±5% | 0.905 | ~19x | | ±10% | 0.818 | ~5.2x | | ±25% | 0.600 | ~3.8x | | ±50% | 0.333 | ~2.2x | | Full range | 0→∞ | 1x | Higher efficiency means more fees earned per dollar of capital, but also more IL per dollar and more frequent out-of-range events. ### Range Selection Heuristics **Stablecoin pairs (USDC/USDT):** - Range: ±0.05% to ±0.5% around peg - Fee tier: 0.01% - Rebalance: rarely needed if peg holds - Capital efficiency: 200x–2000x **Correlated pairs (wstETH/ETH):** - Range: ±1% to ±5% - Fee tier: 0.05% - Rebalance: weekly or when staking rate changes materially - Capital efficiency: 20x–100x **Major pairs (ETH/USDC):** - Range: ±10% to ±30% based on volatility regime - Fee tier: 0.30% - Rebalance: when price approaches range boundary - Capital efficiency: 3x–10x **Volatile pairs (memecoins, new tokens):** - Range: ±50% or wider - Fee tier: 1.00% - Rebalance: avoid — gas often exceeds benefit - Capital efficiency: 1.5x–3x ### Tick Math Prices map to ticks via: ``` tick = floor(log(price) / log(1.0001)) price = 1.0001^tick ``` Tick spacing constrains which ticks can be used. A position's range must align to the pool's tick spacing: ``` tickLower = floor(desired_tick / tickSpacing) × tickSpacing tickUpper = ceil(desired_tick / tickSpacing) × tickSpacing ``` ## Reading Positions Onchain ### V3 NonfungiblePositionManager ```solidity // SPDX-License-Identifier: MIT pragma solidity ^0.8.24; import {INonfungiblePositionManager} from "@uniswap/v3-periphery/contracts/interfaces/INonfungiblePositionManager.sol"; interface IPositionReader { function analyzePosition(uint256 tokenId) external view returns ( address token0, address token1, uint24 fee, int24 tickLower, int24 tickUpper, uint128 liquidity ); } contract V3PositionReader { INonfungiblePositionManager public immutable NPM; constructor(address npm_) { NPM = INonfungiblePositionManager(npm_); } function getPosition(uint256 tokenId) external view returns ( address token0, address token1, uint24 fee, int24 tickLower, int24 tickUpper, uint128 liquidity, uint256 feeGrowthInside0LastX128, uint256 feeGrowthInside1LastX128, uint128 tokensOwed0, uint128 tokensOwed1 ) { ( , // nonce , // operator token0, token1, fee, tickLower, tickUpper, liquidity, feeGrowthInside0LastX128, feeGrowthInside1LastX128, tokensOwed0, tokensOwed1 ) = NPM.positions(tokenId); } } ``` ### V4 PositionManager ```solidity import {IPositionManager} from "v4-periphery/src/interfaces/IPositionManager.sol"; import {PoolKey} from "v4-core/src/types/PoolKey.sol"; import {PositionInfo} from "v4-periphery/src/libraries/PositionInfoLibrary.sol"; contract V4PositionReader { IPositionManager public immutable PM; constructor(address pm_) { PM = IPositionManager(pm_); } /// @notice Reads a V4 LP position's pool key, tick range, and liquidity function getPosition(uint256 tokenId) external view returns ( PoolKey memory poolKey, int24 tickLower, int24 tickUpper, uint128 liquidity ) { PositionInfo info; (poolKey, info) = PM.getPoolAndPositionInfo(tokenId); tickLower = info.tickLower(); tickUpper = info.tickUpper(); liquidity = PM.getPositionLiquidity(tokenId); } } ``` ### Converting Ticks to Prices ```solidity import {TickMath} from "v4-core/src/libraries/TickMath.sol"; /// @notice Convert a tick to a human-readable price /// @dev price = 1.0001^tick, adjusted for token decimals function tickToPrice(int24 tick, uint8 decimals0, uint8 decimals1) pure returns (uint256) { uint160 sqrtPriceX96 = TickMath.getSqrtPriceAtTick(tick); // price = (sqrtPriceX96 / 2^96)^2 × 10^(decimals0 - decimals1) uint256 priceX192 = uint256(sqrtPriceX96) * uint256(sqrtPriceX96); return priceX192 * (10 ** decimals0) / (10 ** decimals1) >> 192; } ``` ## Position Value Calculation ### Token Amounts from Liquidity ```solidity import {LiquidityAmounts} from "v4-periphery/src/libraries/LiquidityAmounts.sol"; import {TickMath} from "v4-core/src/libraries/TickMath.sol"; /// @notice Calculate the token amounts for a position function getAmounts( int24 tickCurrent, int24 tickLower, int24 tickUpper, uint128 liquidity ) pure returns (uint256 amount0, uint256 amount1) { uint160 sqrtPriceCurrent = TickMath.getSqrtPriceAtTick(tickCurrent); uint160 sqrtPriceLower = TickMath.getSqrtPriceAtTick(tickLower); uint160 sqrtPriceUpper = TickMath.getSqrtPriceAtTick(tickUpper); (amount0, amount1) = LiquidityAmounts.getAmountsForLiquidity( sqrtPriceCurrent, sqrtPriceLower, sqrtPriceUpper, liquidity ); } ``` ### Value in USD Terms ``` value_usd = amount0 × price0_usd + amount1 × price1_usd ``` For ETH/USDC where token0 = USDC, token1 = WETH: ``` value_usd = amount0 × 1.0 + amount1 × eth_price_usd ``` Always check token ordering — V3/V4 enforce `token0 < token1` by address sort. ## Fee Collection ### V3 Fee Collection The NonfungiblePositionManager accumulates fees internally. To collect, first poke the position to update fee accounting, then call `collect`: ```solidity /// @notice Collect all accrued fees from a V3 position /// @dev A zero-liquidity decrease pokes the position to update fee snapshots function collectFees( INonfungiblePositionManager npm, uint256 tokenId ) external returns (uint256 collected0, uint256 collected1) { npm.decreaseLiquidity(INonfungiblePositionManager.DecreaseLiquidityParams({ tokenId: tokenId, liquidity: 0, amount0Min: 0, amount1Min: 0, deadline: block.timestamp })); (collected0, collected1) = npm.collect(INonfungiblePositionManager.CollectParams({ tokenId: tokenId, recipient: msg.sender, amount0Max: type(uint128).max, amount1Max: type(uint128).max })); } ``` ### V4 Fee Collection V4 positions collect fees through the `PositionManager.collect` action inside a multicall/modifyLiquidities batch. Fees settle through the PoolManager's transient accounting. ## Rebalancing Strategies ### Time-Based Rebalance at fixed intervals (e.g., every 24 hours, every 7 days). Simple to implement with Chainlink Automation or Gelato tasks. **Pros:** predictable gas spend, simple logic **Cons:** rebalances even when unnecessary, misses urgent rebalances when price moves fast