Correlation measures the length and direction of linear relationship. Covariance measures the joint variability of two data points.

Forecast Future Values of an Asset based on Monte Cralo Simulation

Plot the normal distribution equation: y=(1 / (sqrt(2 * pi) * sigma)) * exp(-0.5 * (1 / sigma * (x - mu)) ** 2)

Calculate mathematical statistics of numeric data. Enter values and optionally weights separated by comma (,). Weights, if entered, must be of same length. At least two values are required.

Volatility and Drift from Historical Values