Is Volume/Breadth Aligned With Bullish Case?

An August 2016 analysis outlined a long-term bullish signal for stocks that has occurred only ten other times in the last thirty-five years. If we fast forward to July 2017, is market breadth/volume aligning with or contradicting bullish data we have in hand?

The chart below shows up/down volume (1996-2010) for the NYSE Composite Stock Index, along with its 50-week moving average (thick blue line).

Notice how all-things-being equal, the probability of bad things happening increases when the 50-week moving average is flat or negative (see orange and red arrows below). Conversely, the probability of good things happening increases when the 50-week moving average turns back up in a bullish manner (see green arrows below). The S&P 500 is shown at the bottom of the image below for reference purposes.

Trend Flipped In Favor Of The Bulls In 2016

In simplified terms, volume patterns shifted from favoring declining issues in early 2016 to favoring rising issues in the second half of 2016 (see green arrow below).

Is The Bullish Bias Still In Play?

As shown in the chart below, the slope of the 50-week moving average still favors good things happening over bad things happening looking out weeks, months, and years. The chart below is dated July 17, 2017.

The Long-Term Outlook For Stocks

This week’s video updates numerous long-term signals covered over the past year. The video covers facts rather than opinions or fears of what may or may not happen in the future.

After you click play, use the button in the lower-right corner of the video player to view in full-screen mode. Hit Esc to exit full-screen mode.

Video

Video

A Foolproof Signal?

Since there is no such thing as a foolproof indicator or signal in the financial markets, the recent bullish shift in up/down volume assists us with probabilities. As long as the slope of the 50-week remains positive, the odds of good things happening will be higher.

Long-Term Means Long-Term

The facts covered above relate to longer-term outcomes, meaning weeks, months, and years. For this data to be used effectively, we must have realistic expectations about normal volatility within the context of a rising trend.


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