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Stochastic Monte Carlo Engine QUANTUM CORE

Stress-test your hypotheses. Simulate thousands of potential price paths using continuous-time stochastic processes to quantify terminal probability distributions.

Simulation / illustrative only: geometric Brownian motion from the current real price with assumed drift (0.05%/day) and volatility (1.2%/day). Not a forecast.

Mathematical Scenario Modeling — Geometric Brownian Motion (n=1000)

Profit Loss

Portfolio Variance Simulation

Matrix Paths
0
Expected Mean
₹0
Win Probability
0.0%
Extreme Tail Risk
0.0%
OPTIONS PAYOFF PROBABILITY

Standard normal distribution observed. Selling iron condors or credit spreads is statistically optimal given the steady upward drift.