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Identifying risk-off signals with market breadth.

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The number of stocks trading above their 50-day line is an excellent tool for measuring market breadth and strength. In this article we show how this data series can be used to create a rule-based system for identifying risk-off market phases. Historical examples and a quantitative evaluation of all signals are also presented at the end of the article.

The Concept

The percentage of members above the 50-Day moving average risk-off model seeks to identify instances in history when a low number of Index members are trading above their respective 50-day average as the Index hovers near a high. The model will issue two separate alerts based upon the following conditions.

Market Breadth Signal 1

Condition 1: Percentage of S&P 500 members <= 65%

Condition 2: S&P 500 Index <= 0.25% from 252-Day High

Condition 3: If Condition 1 & 2, start a days since true count

Condition 4: If days since true count <= ten days and the percentage of S&P 500 members crosses below 50%, signal risk-off.

Condition 5: If percentage of members crosses above 66%, reset condition = true.

Market Breadth Signal 2

Condition 1: Percentage of S&P 500 members <= 54.5%

Condition 2: S&P 500 Index <= 0.25% from 252-day high

Condition 3: If Condition 1 & 2, start a days since true count

Condition 4: If days since true count <= ten days and the S&P 500 5-day rate of change is >= -1%, signal risk-off.

Condition5: If percentage of members crosses above 63%, reset condition = true.

Current Situation - healthy market breadth

Let's take a look at some charts and the historical signal performance. Please note, all performance statistics in the chart are calculated as a short signal, whereas annualized returns result from buying the S&P 500.


2015-2016 Oil/Commodity Bear

2007-08 Financial Crisis

1998 LTCM and Internet Bubble

1990 Savings & Loan/Iraq Oil Spike

1980 Oil/Commodity Bubble

1973-74 Bretton Woods/Nixon Shock/Oil Embargo

1966 Bear Market

1937-38 Bear Market

1929-32 Bear Market

Signal Performance using Market Breadth

As one can see, performance is weak in the 1-8 week timeframe, with several z-scores approaching the significant level of two. I would also add that the model utilizes a time stop and indicator above stop level for exits. The failsafe level for the S&P 500 model is 69.5%, and it has only triggered four times in history. i.e., the DIT exit occurs in most instances as the indicator does not improve to a level that would trigger the stop.


Historical Correction and Bear Market Table

The following table provides a historical signal perspective for the percentage of members above the 50-day average risk-off signal. A "yes" in the last column indicates that a signal triggered either before or just after a significant correction or bear market peak.

International Signals

The following international markets are included to show that the market breadth concept works on a global index basis.


Japan - Nikkei 225 Index


Canada - S&P/Toronto Stock Exchange


Conclusion

As the historical correction and bear market table shows, the percentage of members above the 50-day average has triggered ahead of several major market peaks. The signal should always be used in conjunction with other risk-off models as a weight-of-the-evidence approach provides a more favorable outcome. Given the current level, an alert should not be expected in the near term.

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