MONTE CARLO SIM TOOL #64

Median Final
P(Profit)
P(Target)
P(50% Loss)

Simulated Equity Paths

Terminal Value Distribution

Simulation Parameters

Ann. Return (μ)
Ann. Vol (σ)
Daily Drift
Daily Vol
Skewness
Kurtosis

Percentile Outcomes

5th (worst case)
25th
50th (median)
75th
95th (best case)
Mean

Risk Metrics

Max Drawdown (median)
Sharpe (forward)
P(Break Even)

Method

Geometric Brownian Motion with historical bootstrap:

Each path draws daily returns from the actual return distribution (bootstrap resampling), preserving fat tails and skewness that normal distributions miss. The GBM component: S(t+1) = S(t) × e^(μdt + σ√dt·Z) where Z ~ historical.

Confidence bands show 5th-95th percentile envelope. The median path represents the most likely outcome.
BBobop Monte Carlo Simulator v1.0 — Tool #64 — Cycle 15 — Forward-looking portfolio simulation — Zero dependencies