Visualizing Business and Market Cycles Through Market Momentum 2


Visualizing Business and Market Cycles Through Market Momentum 2

SPDR Select Sector Fund – Industrial BATS:XLI


Last year I produced several posts that described an exercise that utilizes long term momentum changes between asset classes and the relationship among asset classes to anticipate the business cycle. That series and part 1 of this series are linked below.

Methodology: Individual markets and ratios are plotted in the quadrant that best describes their combination of momentum and price trend. The precise point where the individual plots fall in the matrix is not nearly as important as the overall pattern of multiple plot points and the weight of the evidence. The quadrants reflect the relationship between the 13 and 26 month exponentially smoothed averages.

Part one of the series described the general methodology and presented the matrix with the raw data. In this piece we consolidate the individual data points and begin to draw conclusions around the economy’s position in the current business cycle.

This is the raw data plot. Its important to remember that each asset placement in the matrix is determined by the combination of momentum state and price behavior. In other words there is a strong subjective aspect in the placement that is subject to all the normal behavioral biases. I have no doubt that the matrix would look somewhat different had someone else produced it. In my opinion the more important takeaway is not where any individual asset falls within the matrix but where the general pattern produced by like assets falls within the matrix.

My placement of the equities within the matrix offers a good example. I generally have the equities in the lower right quadrant (strong decline/bear market). This despite SPY MACD momentum having moved into the MACD advancing quadrant. I have left it in the bear market quadrant because, A) Price is still significantly below last years high. B) The equal weight SPY and NYSE composite have not displayed similar strength. C) My read of macro conditions is still bearish (this is where behavioral bias can really make a difference in where the assets are placed). Point being, the work is a combination of quantitative and qualitative and clearly has a subjective aspect.

After placing the individual assets in the matrix I then distill them into 7 categories and place them into the position in the matrix that best describes that group. Remember that individual auctions, sectors, etc. may be in far different positions than the bulk of the category but the distillation is a weight of the evidence process meant to identify the approximate position of the bulk of similar auctions. More detailed distillations can separate industrial and agricultural commodities, and add bond market credit spreads, hyper cyclical and financial companies.

For comparison, I have included the distilled matrix from 2022:

In the next installment we will describe how the sectors interact over the course of a typical business cycle, plot the information onto a stylized business cycle and draw conclusions about the current cycle.

And finally, many of the topics and techniques discussed in this post are part of the CMT Associations Chartered Market Technician’s curriculum.

Good Trading:
Stewart Taylor, CMT
Chartered Market Technician
Taylor Financial Communications

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