Markets stabilized yesterday with the SPX finishing down 0.07% on the day, the NDX was up 0.18% and the DJIA up 0.27%.

Looking at sectors, Energy underperformed and finished 3.5% in the red. Financials, Industrials, and Materials also lagged on the day finishing about 1% lower. On the upside, healthcare performed well gaining almost 1% on Wednesday while Staples up 0.6% were the second-best performing segment of the market.

Within the DJIA, performance was contained between -2% and +2%. MCD was the best performing name posting a 2.02% gain on the session. Tech stocks were also amongst the best performers with AAPL up 1.3% and MSFT up 1.5%. GS also performed well gaining 1.3% on the day.

On the downside, CAT was the worst performer settling 2.11% lower on the day, CVX also lagged finishing 2% lower alongside AXP down 1.9%.

Implied volatilities were steady on the day with the front-end remarking slightly higher while the back-end was unchanged.

Source: IVolLive

Same story for the NDX with short-dated implied volatilities marked higher while longer-dated did not budge.

Source: IVolLive

Looking at the 30d skew for the SPX, the difference between the green light (Tuesday’s close) and the purple line (Yesterday’s close) is hardly visible. The only slight notable change was that downside puts seem to continue to be marked down by market makers.

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Source: IVolLive

Looking at the Stock Monitor on the DJIA components, we can scan for dislocations within the names making up that index on various metrics.

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Source: IVolLive

1. Using IVP30:This metric measures the frequency of the 30d IVX of a given stock being below the current level over the past 12 months. For instance, an IVP30 for AMGN of 29.76 means that around 30% of the time over the past 12 months, implied volatility was lower than where it is now. On the opposite side, an IVP30 of 99.21 for CAT shows that the implied volatility was hardly ever higher than the current level over the past year.

Using that logic, combined with the IV Difference chart allows us to quickly spot that the implied volatility of CAT relative to the IV of AMGN is trading at a historical premium.

Source: IVolLive

This type of analysis should help us decide whether we want to buy or sell volatility. Once this has been decided, we can use the other tools to find the best possible combinations. For instance, scanning for short strangles on IBM with a maturity before Sep’22 returns the following combinations:

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Source: IVolLive

The most attractive combination according to the RT Spread Scanner and based on the amount of Risk taken relative to the potential Reward is to sell the 22nd July 141/142 strangles for $820.