
John has been a professional derivatives trader and portfolio manager since 2005, and one of a few investment professionals to earn the Derivatives Market Specialist designation from the Canadian Securities Institute.
He created and managed two derivatives-based private funds in Canada and the United States, and provided hedging advisory services to high net worth clients. He is a frequent speaker, commentator, financial market educator, and writer for globally-read investment publications.
Doug is a Chartered Alternative Investment Analyst who spent more than 20 years as a derivatives market maker and asset manager before “reincarnating” as a financial media professional a decade ago.
Before joining Britannica, Doug spent nearly six years managing content marketing projects for a dozen clients, including The Ticker Tape, TD Ameritrade’s market news and financial education site for retail investors. He has been a CAIA charter holder since 2006, and also held a Series 3 license during his years as a derivatives specialist.
Doug previously served as Regional Director for the Chicago region of PRMIA, the Professional Risk Managers’ International Association, and he also served as editor of Intelligent Risk, PRMIA’s quarterly member newsletter. He holds a BS from the University of Illinois at Urbana-Champaign and an MBA from Illinois Institute of Technology, Stuart School of Business.

If youâve ever traded option contracts, or held them in your portfolio, you know the first rule is managing uncertainty. But when an option expires, there comes a point of absolute certainty: Itâs either in the money or out of the money. The holder of the option either exercises it, or they donât.
In other words, at expiration, there are only two possibilities for the option. But from the time you initiate a long or short position until you sell it (or it expires), thereâs a sliding scale of probabilitiesâfrom zero to 100âfor whether it will be in or out of the money at expiration.
The sliding scale slides at different rates depending on two things:
The scale of probabilities (price and time) is the optionâs delta. And the rate at which itâs sliding is called gamma.
Make sense? Read on. Confused? Consider taking a step back and reading a refresher on options, including an introduction to option specs and how option risks are measured.
Delta represents how much an optionâs theoretical value will change based on a one-point change in the underlying asset (a stock, for example). Here are a few things to know about delta:
Still with us? Great; letâs take it to the next level.
In the delta example above, we demonstrated how a $1 rise in the price of XYZ from $25 to $26 would, all else equal, raise the value of a 25-strike call by $0.50. But something else happens, too. With XYZ now at $26, itâs in the money by $1, and its delta is now higher than 0.50 (letâs say itâs now 0.60). So if XYZ rises another dollar, to $27, its theoretical value would rise $0.60.
That extra delta kicker is the gamma. Itâs the rate of change of an optionâs delta given a change in the price of the underlying.
Gamma is at its maximum value when the underlying is at the money. Why? Think of gamma as a reflection of uncertainty. When delta is close to zero or close to 1.00 (again, -1.00 for a put option), thereâs a high degree of certainty as to whether it will be in or out of the money at expiration. But right in the middle? Itâs essentially a coin flip.
Figure 1 shows how this works for a stock thatâs trading at $25 per share, with a call option at the 25-strike, with 60 days until expiration.

Notice how the rise in gamma is pulling delta up at an increasing rate until it reaches the at-the-money pointâin this case, right up to $25 (when the 25-strike is at the money). After that, delta keeps rising, but at a decreasing rate, until it hits 1.00. Gamma falls to reflect this.
But this only tells you part of the story. Itâs one snapshot in time, with 60 days until expiration. As each day passes, not only does the optionâs price change (thanks to its time decay, or âthetaâ); the delta and gamma values also change.
Options measure uncertainty. As time passes, so does uncertainty. As you approach expiration, a low-delta option gets closer and closer to zero-delta, and a high-delta option gets closer and closer to 1.00 (or -1.00 for put options).
What about options that are at the moneyâor close to itâright before expiration? There will soon be certainty, but the probabilities are less clear for whether that certainty will be zero (expires worthless) or 1.00-delta (exercised).
The upshot? Gamma is highest for at-the-money options. And that gamma is even more pronounced the closer you get to expiration. Figure 2 shows delta across various prices and including the effects of time.

You can see in figure 2 that the delta curve gets steeper as time passes, which means its rate of change (gamma) is getting more volatile. On expiration day, if the stock is trading right around its strike priceâbouncing in and out of the moneyâthe delta will oscillate between almost 1.00 and 0.00. Such high volatility is one reason why many options traders opt to close their positions before expiration.
Suppose that rather than buying an option to speculate on price direction, you sell an option and collect the premium up front. This is a popular strategy among experienced options traders. On the surface, it looks quite attractive, particularly if you select a strike with a somewhat low delta (and thus a high probability of expiring worthless).
For example, suppose you sell a put option on XYZ at the 22-strike (which happens to have a -0.20 delta, with 30 days left before expiration) and suppose the premium is $0.50. Because the standard contract size for an equity option is 100 shares of the underlying stock, you collect $50 for the sale.
Your hope (and expectation) is that XYZ will stay above $22 through expiration, in which case youâll pocket the premium. The delta of -0.20 means youâve got about an 80% likelihood of being out of the money (and a 20% probability of being in the money).
Letâs say some negative news comes out and the stock begins to move toward $22 fairly rapidly. All else equal, the premium is likely to go up (meaning youâll be losing money on the trade). But how high, and how quickly? Follow the greeks.
That simple premium collection (cash flow) strategy that looked like a high-probability win? When the market moves against you, probabilities change. At that point, you need to weigh the current probability of success against your risk tolerance so you can decide whether to hang on or liquidate the position.
Understanding how delta and gamma work together is key in your journey as an options trader. Knowing the delta of a position youâre considering will help you understand the risk in the play.
Delta and gamma arenât the whole equation, but theyâre the foundation for the price movements of options.
This article was most recently revised and updated by John Manley, DMSThis article was most recently revised and updated by Doug Ashburn