Summary
Our metrics indicate that long-term market resilience has peaked for both the DJIA and the NASDAQ, which historically has meant a lower chance of new market highs and a higher risk of losses over the subsequent months. Markets have also been choppy during 2026, which has hurt performance. Government actions and policy decisions have created short-term swings in prices, preventing actionable trends from developing. These conditions are likely to continue for the foreseeable future.Leveraged ETFs for the DJIA and NASDAQ tend to perform poorly in these conditions, and over the next few weeks we will add unleveraged ETFs tracking these indexes. Thus, when markets lack strong trends, we will use the unleveraged versions of these indexes. When strong trends are expected to develop, as we describe below, we will use the current leveraged versions of these indexes. I will also shorten the list of ETFs. The trading process will remain simple, though there may be more trades going forward. I will provide more details in the coming weeks. This note describes the current market environment and the rationale for adjusting our use of leverage.
Recent Market Dynamics
Government action, persistent inflation (and the Fed’s efforts to fight it), the possible deflating of the AI theme, and the possible long-term productivity gains from AI will all affect the markets going forward. Here, though, I will focus on what I see in our metrics.The most important recent development is that the markets have likely passed their peaks in terms of long-term resilience and have done so at relatively high levels. We measure long-term resilience with the Macro MRI, which tracks market price momentum and moves in multi-year cycles. The recent peaks mean the market is less likely to make new highs over the next few months.
The DJIA’s Macro MRI has peaked and is now in the down leg of its cycle, as shown in the figure below.
Last week’s market decline reinforced the new negative trend. The DJIA’s Macro MRI is at the 79th percentile of its levels since 1918, which is high. That is about where it stood in early 2000, around the peak of the dot-com bubble. It is slightly below its 2007 level and well below its early-2018 peak. Both of those periods were followed by long stretches of a negatively trending Macro MRI.
The picture for the NASDAQ is similar, and the NASDAQ’s Macro MRI negative trend is further along than the DJIA’s, as the figure below shows.
If historical patterns hold, the stock market is more likely to experience either sharp losses after temporary gains or a period of sustained losses over the next few months.
Although we haven’t seen it happen in the last 26 years, the Macro MRI could resume its positive trend from this level and move higher along with a market price move higher. This took place in May of 1987, a few months before the 1987 market crash (an abrupt loss of over 30%), and in May of 1999, a few months before the protracted losses of the early 2000s (a loss of over 35%). A significant move higher could be prompted by the excitement and productivity gains associated with AI, or a meaningful drop in oil prices and inflation. However, even if these take place, the move higher would likely be short-term; the Macro MRI cannot rise indefinitely, and high Macro levels indicate high investor euphoria. Losses can be significant when the euphoria ends, as was the case in 1987 and 1999/2000. Our theory is that long-term investors are complacent during the upleg of the Macro MRI and overreact to negative news during the downleg.
Peaks and Troughs of the Macro MRI Since 2000
The figure below shows the DJIA price level (log scale, dark blue), the Macro MRI (light blue), and the Exceptional Macro MRI (small vertical blue lines on the Macro MRI). The dashed red vertical lines mark the major peaks in the Macro MRI. The dashed green lines mark when the Exceptional Macro MRI indicates that the Macro MRI is likely to develop a positive trend. These tend to indicate the beginning of a strong long-term positive trend and are useful for our decisions about how much we use leveraged ETFs. Since 1950, the weeks after an Exceptional Macro MRI signal, up to the next Macro MRI peak, have been about one-third less volatile than other weeks, with higher average returns, the conditions in which leveraged ETFs work best.
Notice that the red lines often come before periods of market decline. That is the intended purpose of the Macro MRI: to highlight when declines are more likely. The losses in the figure may look small and quickly recovered, but the figure uses a log scale, which makes losses look milder than they were. The loss from early 2000 to late 2002 was over 35%, and it took more than six years for the DJIA to return to its early-2000 price level. The loss from 2007 to the bottom in early 2009 was more than 50%, and it took more than five years to recover to the 2007 level. These figures are based on the DJIA’s price and do not include dividends. Including dividends would reduce the losses and recovery times, but not by enough to neutralize them.
Over the period shown, there are also stretches when the Macro MRI was trending down, but the market did not suffer protracted losses. The period from early 2018 through the end of 2020 is an example of this. The Macro MRI began its negative trend in 2018, and the market moved higher over 2018 and 2019 overall, despite a sharp drop in late 2018. When the COVID-related decline came in early 2020, the losses were dramatic and fit our theory of how investors react harshly to negative news when the Macro MRI is trending down.
A few other points about recent years are worth noting. First, the time between the peaks and troughs of the Macro MRI has been short compared to the earlier part of the history shown. As a result, periods of strong long-term resilience have been less frequent.
Second, the Macro MRI’s positive trend that began in 2025 (grey dotted line in the DJIA figure above) developed without triggering the Exceptional Macro MRI, which may be consistent with that trend being short and shallow.
Even after a Macro MRI peak, there continue to be smaller opportunities for positive returns that can’t be seen in the figures above. These are identified by the Micro MRI.
A Choppy Market
Over the past few years, market moves have often been driven by the administration’s actions, such as the abrupt introduction of tariffs. Abrupt week-to-week shifts put our processes at a disadvantage. Most of our models are designed to identify new trends at a very early stage. Shifts driven by forces outside the market are harder for our process, and many others, to capitalize on.This is what investors call a choppy market: one where prices swing up and down frequently, often sharply, without making sustained progress in either direction. Price moves keep reversing before a trend can form.
In this context, our signal can perform satisfactorily, but relying solely on leveraged ETFs drags on performance. The manager of a leveraged ETF resets leverage every day (ProShares does this for DDM). When markets are choppy without a strong positive trend, this daily reset works against leveraged ETFs. This has been the case in 2026, and it has cost us a few percentage points of return.
It is best to avoid leveraged ETFs when there is not likely to be a strong positive price trend. Each time we get a new buy signal, we will check whether conditions favor a strong uptrend. If they do, we will use the leveraged ETF; if not, the unleveraged one: DIA for the DJIA and QQQ for the NASDAQ. I will update the weekly target weight report and the shares-to-trade worksheet to list both the leveraged and unleveraged ETFs. For each index, we will generally hold one or the other, not both. The change will be easy for you to implement, and I will introduce it over the coming weeks.
When a strong positive trend develops, we will resume using the leveraged ETFs. The Exceptional Macro MRI and our other tools help us tell when strong trends are beginning. Historically, this approach would have cut our worst decline roughly in half in exchange for somewhat lower returns in strong markets.
With hindsight, these changes should have been implemented some time ago. They would have improved performance in choppy and challenging markets and made the recent periods less stressful. Looking forward, they should allow us to feel more confidence in the approach over a wider range of market environments.