Pool ID
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Impermanent Loss Simulator
Monte Carlo
Based on GBM model

Enter the concentrated liquidity range, current price, daily volatility, and time period. Use geometric Brownian motion to perform Monte Carlo simulation on future prices, estimating expected IL, distribution, and confidence intervals.

Price lower bound
Price upper bound
Current price (P₀)
Daily volatility (percent)
Fee APR (%)
simulation days
Number of simulations
Simulation results
Expected IL
Daily IL
Equivalent IL APR
Realized fee APR
Net APR (fees + IL)
LP Excess Return
Volume-IL Correlation (cov)
Total Return Std. Dev. (Annualized)
Sharpe Ratio
95% Worst-Case MDD
5% – 95% IL interval
IL Std. Dev. (Total)
Time In Range Ratio
IL distribution (percent)
Based on IL samples obtained from Monte Carlo simulation, bin the results and plot as a frequency histogram.
Frequency of simulated IL
Excess return distribution (percent)
Based on LP excess return samples (LP CAGR - HODL CAGR) obtained from Monte Carlo simulation, bin the results and plot as a frequency histogram.
Frequency of simulated excess return
蒙特卡洛模拟路径
展示蒙特卡洛模拟的价格变化过程,包括当前价格、每日波动率和模拟天数。
价格路径
LP Range