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“One of the great mistakes is to judge policies and programs by their intentions rather than their results.” – Milton Friedman
Below is a snippet of commentary from today’s Morning Lineup. Start a two-week trial to Bespoke Premium to view the full report.
When Microsoft (MSFT) traded down over 5% in response to earnings last night, S&P 500 and Nasdaq futures immediately traded lower. A positive report from AMD and its halo effect on Nvidia (NVDA) has been more than enough to offset those losses. Positive results from Starbucks (SBUX) and Arista Networks (ANET) have also contributed to the positive tone…for now.
There’s a lot of data to get through between now and the close as the latest FOMC policy decision will be announced at 2 PM Eastern. Before that, we’ll get the ADP Employment report (weaker than expected), Employment Cost Index, Chicago PMI, and Pending Home Sales.
We’ve spoken a lot about the daily divergences between price and breadth for the last several weeks, and as we close out July, we just wanted to compare how this month compares to other months. Through 7/30, the S&P 500’s price moved in the opposite direction as its advance/decline (A/D) line on just over 38% of all trading days this month. Going back to 1990, there have only been three other months where the percentage of divergent days was as high or greater – July 2017 (40%), August 2020 (38.1%), and last month (52.6%). One notably absent period is 2000. While many comparisons have been made between now and the end of the late months of the dot-com bubble, the frequency of divergence days back then never reached the levels we have seen in the last two months.
Looking at breadth divergences on a 50-day moving average basis, through July 30th, 44% of all trading days in the last 50 saw breadth and price move in the opposite direction. No other period since 1990 comes even close. The prior record was 32%, reached in May 1995 and September 2017. Again, at the peak of the dot-com bubble, the percentage of divergent days peaked at 28%.
The similarities to the dot-com bubble arise when we looked at the percentage of days when the S&P 500 was down but breadth was positive. Back in 2000, the 50-day average peaked at just over 16%. Even based on this metric, the current period (18%) eclipses the peak from 24 years ago, but it’s much closer. One notable aspect of the last several years, though, is how the percentage of days has generally been trending higher since the mid-teens. Software may be eating the world, but megacaps are eating the market.
