LiquidMind Academy

ICT/SMC concept library with interactive charts

Risk Guard Protocol/

Capital Curve Simulator

RiskMonte CarloMathSizing

TL;DR

Risk management is best understood through simulation, not theory. This interactive Monte Carlo simulator runs 1,000 randomised trade paths based on your system parameters — revealing the mathematical reality of your edge before you risk real capital.

Capital Curve Simulator — Monte Carlo

1000 PATHS

Adjust the sliders and observe how your system's mathematics shapes the trajectory of your capital across 1,000 simulated trade paths.

Expected Value Formula

EV=(Win% × AvgWin)(Loss% × AvgLoss)=+0.000% / trade
Win Rate50%

50% win rate

Risk / Reward Ratio2.0 : 2.0

1 : 2.0

Risk Per Trade1.00%

1% of capital

Profit Factor1.5PF

Positive edge

Expected Value

+0.000%

per trade

Risk of Ruin

0%

ruin probability

Breakeven Win%

33.3%

min. skuteczność

Profit Factor

1.5

wymagany ≥ 1.0

Capital curve distribution — median + P10–P90 range

Median (P50)
P90 — optimistic
P10 — pessimistic
LiquidMind AI Context

This is exactly why LiquidMind's PPF engine reduces position size when performance degrades — the algorithm detects a declining Profit Factor and cuts risk before a statistical losing streak compounds into a serious drawdown. Use this simulator to stress-test your target parameters before going live.

System monitors this pattern in real-time