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Keep an eye on this early cycle buy signal

Dean Christians
2022-07-19
Stock market performance for the things we need is trouncing the performance of the things we want. Let's review a trading signal that identifies a new cyclical uptrend for the S&P 500 by measuring the relative ratio between discretionary and staples sectors.

Key points:

  • According to the latest BofA fund manager survey, investors are the most overweight staples vs. discretionary since Jan 2009
  • A performance spread between discretionary and staples sectors has fallen to the lowest level since 2000
  • One can use the relative ratio between the discretionary and staples sectors to identify a bullish early cycle buy signal
  • Using history as a guide, the S&P 500 rallied 83% of the time over the next year after bear market signals

With the S&P 500 index mired in a bear market, let's assess the outlook for S&P 500 after the relative ratio between discretionary and staples sectors increases in favor of early cycle stocks. To be clear, I will eliminate instances that occurred within the context of a correction or when the index was at a high.

A trading model that identifies a reversal in an early cycle ratio

The model applies a 105-day range rank to the ratio between the consumer discretionary and the consumer staples sectors. As a reminder, the range rank indicator measures the current value relative to all other values over a lookback period. 100 is the highest, and 0 is the lowest. The ratio reset condition occurs when the range rank for the ratio crosses below the 1st percentile. A new buy signal triggers when the range rank exceeds the 99th percentile. 

Signals associated with a bear market (down 20% or more from multi-year high)

This model generated a signal 12 times over the past 64 years. After the others, S&P 500 future returns, win rates, and z-scores were excellent across medium and long-term time frames. The signal shows a gain at some point in the first year in 11 out of 12 instances. 

Let's zoom in and review some of the bear market signals/charts since 1968.

Current day chart example

2007-08 bear market chart example

2000-02 bear market chart example

1980-82 bear market chart example

1973-74 bear market chart example

1968-70 bear market chart example

What the research tells us...

When the ratio rank between consumer discretionary and staples sectors increases in favor of discretionary stocks, the cyclical versus defensive relationship can potentially identify a new cyclical uptrend in stocks. Historically, medium and long-term results for the broad market are excellent.

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Risk Disclosure: The information and tools provided are for research and analytical purposes only and are not intended as investment advice. Market analysis involves uncertainty, and outcomes may differ from expectations. Users should conduct their own due diligence and consider their individual circumstances before making any financial decisions. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

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