Internal momentum has surged in defensive sectors

Jason Goepfert
2022-01-11

Big positive internal momentum among defensive sectors

Consumer Staples stocks have been on a roll. In December, we saw that those stocks were seeing an impressive thrust and longer-term recovery, which has tended to see further gains in the months ahead.

So far, that's been the case. The McClellan Summation Index for Staples is now well above +1000, one of its highest readings in a decade. It's not just Staples. Another core defensive sector, Utilities, is also seeing impressive internal momentum. And so is the other one, Health Care.

The Summation Index for all 3 sectors is now well above +1000, and their combined value is now in the top 1% of all days since 1952.

Defensive sector McClellan Summation Index is high

It's assumed that if investors are so hyper-focused on defensive stocks, it's a bad omen for the broader market. Not to be. While the S&P 500 didn't exactly go gangbusters after these signs of long-term internal momentum in the defensive sectors, it still showed above-average returns. 

Stat box

Over the past 5 days, an average of more than $370 million per day flowed out of the iShares iBoxx High Yield Corporate Bond ETF (HYG). That's the largest 5-day outflow since March 2021.


Energy optimism shows a positive reversal

Dean noted that a trading model that uses the Optix Index to identify when sentiment reverses from a period of pessimism issued a buy signal for the energy sector on 1/7/22. 

The model applies an 84-day range rank to the 10-day moving average of the Optimism Index for the XLE ETF. As a reminder, the range rank indicator measures the current value relative to all other values over a lookback period. A new buy signal occurs when the range rank crosses back above the 78th percentile. At the same time, the 5-day rate of change for the ETF must be positive.

Energy optimism is rebounding

This signal has triggered 32 other times over the past 22 years. After the others, energy sector future returns, win rates, and risk/reward profiles were solid across all time frames, especially the 2-month window. The trading model performed well during the most recent energy bear market period between 2014-2020, with positive returns at some point up to 2 months later in 6 out of 7 instances.