Let's start by running a scan on stocks reporting earnings this week, which includes the total option volume indicator, sorted from greatest to least.
Focusing on International Business Machines, as we click through, we see this large-cap company in the information technology services industry reports earnings on Monday, July 18th, after the close.
The earnings and financials tab takes us to more detail showing the options market expecting a move of 5.7% in either direction. This move was breached in 4 out of the last 12 earnings.
During that time, the post-earnings move was outside of the implied range 6 times. In those cases, long straddles were profitable. The rest of the earnings moves likely yielded profitable short straddles. We can overlay quarterly financial data by clicking on the ratios below the earn move graph. Let's look at the PE ratio, which is the stock price divided by the trailing twelve months earnings per share.
For IBM, the current PE ratio is 14.5, which is 52.3% over the average for the last twelve earnings observations. Returning to the overview tab, we can quickly run a scan to find the best option trades. Since earnings are right around the corner, we scan for neutral strategies, then filter the scan results by S%, or smoothed edge, by setting it between negative and positive 3%.
This helps narrow the results to trades that are fairly priced. The highest ranked trade is a Long Call Calendar with strikes at 141, expiring on Friday, August 26th and Friday, August 12th, for a debit of $0.25.
By pulling up the trade, we can see the theoretical values in more detail. The distribution edge, found by the expected value of the payoff picture on the stock's historical distribution, has an edge of 90.7%. The forecast edge, which is derived from historical volatility, has an edge of 45.3%. Lastly, the smoothed edge, which is calculated by drawing a best fit curve through the monthly implied volatilities, has an edge of 2.7%. The edge is relative to the mid-market price of the trade. Greater positive edges are a theoretical benefit to the trader. We can also look at the payoff graph. The reward to risk divides the max gain by the max loss. Here the 12.6 to 1 is the ratio of the max gain of $316 to the max loss of $-25. There are two break evens for this Long Call Calendar at 132.4 and 151.1. The total greeks and ThinkOrSwim code complete the information on the trade analysis popout.
Next, let's look at this trade in the trade builder. Over the last month, the stock price rose 1.3%, while the thirty-day implied volatility rose 17.3%. The average slope of the trendlines is negative. The heatmap on the right side of the graph is green where volatility and slope are undervalued, and red where they are overvalued. In this case, short term IV and slope are slightly overvalued, while the long term is very overvalued.
We can also see this trade overlaid on the monthly implied volatility graph in the chain tab. The legs for this trade are circled. For any questions or issues with the article, please contact firstname.lastname@example.org. To subscribe to the dashboard, please visit https://orats.com/dashboard
The opinions and ideas presented herein are for informational and educational purposes only and should not be construed to represent trading or investment advice tailored to your investment objectives. You should not rely solely on any content herein and we strongly encourage you to discuss any trades or investments with your broker or investment adviser, prior to execution. None of the information contained herein constitutes a recommendation that any particular security, portfolio, transaction, or investment strategy is suitable for any specific person. Option trading and investing involves risk and is not suitable for all investors.
About the Author: Matt Amberson, Principal and Founder of Option Research & Technology Services. ORATS was born out of a need by traders to get access to more accurate and realistic option research. Matt started ORATS to support his options market making firm where he would hire statistically minded individuals, put them on the floor, and develop research to aid in trading options. He is heavily involved with product design and quantitative research. ORATS offers data and backtesting on a subscription basis at www.orats.com. Matt has a Master’s degree from Kellogg School of Business.