This option probability calculator can be used to determine the probability the stock will ever break upper and/or lower price limits during the time specified. Most other option probability calculators will only calculate probability at option expiration. In order to manage an option position in real time, you need to know the probability of price hitting your upper and lower price limits any time while you hold the position.

**Instructions***Get Symbol*- if you need stock and option data, enter a stock symbol here and a pop up window will appear containing current stock and option prices
*Trials*- enter the number of cycles through the time period you want to calculator to perform. Ten thousand is a reasonable number that results in good modeling with a tolerable execution time. In the results section, you can monitor the model's volatility and how closely it matches your entered volatility. Increase the number of trials if there is too much difference between your specified volatility and the model volatility.
*Asset Price*- enter the current or starting price of the asset
*Upside Price*- enter the price above asset price you want to test
*Downside Price*- enter the price below asset price you want to test
*Volatility*- enter volatility as a percentage. This can be current volatility or your forecast of volatility.
*Trading Days*- enter number of trading days to model. It is assumed there are 5 trading days per week. If you use the calendar, this number will be entered by the program.
*Annual Trading Days*- enter number of trading days in a year
*Interest Rate*- enter the current risk free interest rate as a percentage. Check Use if asset is stock and uncheck if futures.

Options Trading About Us Option Trading Directory Option Trading Books Black Scholes Option Greeks Calculator Cox-Ross-Rubenstein Option Greeks Calculator Option Price Calculator Implied Dividend Monte Carlo Option Probability Calculator Option Position Calculator Covered Calls Calculator

Stock Option Volatility Trading

A service of Trotter Trading Systems

Sunday, Mar 29, 2015