Suppose you segment a given lookback period into a number of separate sub-periods. You can conduct a linear regression over each subperiod, set a threshold slope value, and then determine whether the stock or index was in an uptrend, downtrend, or neutral. A technically strong stock or index for the overall lookback period would be one that is uptrending over a majority of the different subperiods. A technically weak stock or index would be downtrending over the various subperiods. A neutral stock or index would be one in which there is mixed uptrending and downtrending across the subperiods.
The Technical Strength Index (TSI) that I compute thus captures the consistency of trending action over time, as well as the degree to which a variety of stocks display such trending. Thus far, my work with the Index has been limited to the S&P 500 stock universe and eight sectors within the index: Materials, Industrials, Consumer Discretionary, Consumer Staples, Energy, Health Care, Financial, and Technology.
As of Friday, here are the TSI values for the eight sectors:
* Materials: +180
* Industrials: +300
* Consumer Discretionary: -120
* Consumer Staples: +300
* Energy: +280
* Health Care: +160
* Financial: +140
* Technology: +360
We see quite a discrepancy between Consumer Staples and Consumer Discretionary issues, as housing concerns weigh on discretionary spending by consumers. Note, however, the very strong readings for Technology and Industrials. This is not a market displaying broad weakness. Even Financials, which had been at the bottom of the pack in August, now display positive strength.
Before stocks go into downtrends, they tend to first lose upside strength. By monitoring the trending behavior of a range of sectors, we can obtain early warning signals of market weakness. So far, we have backed off the very strong readings obtained shortly after the Fed announcement, but have not seen broad weakness.
Eventually, I would like to extend the TSI work to a broad universe of ETFs, which would help to uncover strength and weakness across various market themes and asset classes. A further evolution of this research would be to include volume in the measure, to capture the degree to which capital is flowing into sectors and themes. More to come!
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