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Go to: Top | Short-term Outlook | Int-term Outlook | Equity Updates | Indicator Summary | Commodity Updates
Short-term
Outlook (1-5 Days):
Go to: Top | Short-term Outlook | Int-term Outlook | Equity Updates | Indicator Summary | Commodity Updates
Intermediate-term Outlook (1-3 Months):
What: We will remain Neutral for now.
Why: On
April 15th, the Dumb Money pushed up to 75%, and the
spread between that and the Smart Money reached to -45%.
In addition, we got a tremendous surge in the number of
bearish (for the market) Indicators At Extremes.
That's the kind of development that doesn't necessarily
indicate an imminent market peak, but it does almost always
mean that any further short-term gains will be erased.
Now that that has happened, and volatility has exploded
higher, we have a very unusual situation with the "shock
day" on May 6th. We looked at somewhat similar days in
today's Report, and the conclusions are pretty clear - a
short-term rally is likely, followed by a re-test of the
panic low. There are some reasons to expect this time
to be different, but even so it's the template we're going
with. If we do see a re-test of the May 6 lows in the
coming weeks, by that time there is a very real chance that
sentiment will have cycled back to enough pessimism that we
could get a very decent multi-month rally.
Recent Studies:
Historic price momentum (4/23): Bullish
Extreme Indicator Score
(4/16): Bearish
Earnings season after a rally (4/08):
Bearish
Smart/Dumb Money extreme
(4/07): Bearish
Surge in new highs (3/18): Bullish
Thrust in Up Volume (3/12):
Bullish
Sentiment:
Trend:
Mixed readings.
Still pointing up. Sup /
Res:
Other:
R: 1200-1225; S: 1110 Nothing notable.
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Short-term Outlook
| Int-term Outlook |
Equity Updates |
Indicator Summary |
Commodity Updates
Equity Indicators - Updates and Extremes
McClellan Oscillator It's times like
this that analysts will trot out a few favorite oversold indicators.
There are certainly plenty to choose from at the moment, including
almost anything that looks at the short-term. Instead of showing chart after chart of short-term extremes, I thought
it would be more useful to look at something that's a little bit off the
radar. It's a measure we've looked at a few times when we reach a
historic reading, it has a longer time frame, and it has a long history.
It's the ratio-adjust McClellan Oscillator. The Oscillator
essentially looks at the momentum of breadth. When we get a huge
change in the number of issues that are advancing versus declining, then
the Oscillator will make an unusual reading. It has done a good
job in the past - not just looking at extremes, but also the context of
when those extremes occur (such as when the Oscillator showed extreme
persistency in
March 2009) On Friday, the
Oscillator dipped to an historic reading of -120, the 2nd-most oversold
reading in more than 20 years.
Let's go back to
1940 and look for any other time the Oscillator hit this level of
oversold while in a bull market (defined as a rising 200-day average on
the S&P 500) and see how the S&P performed going forward: Date 1 Week Later 2 Weeks Later 1 Month Later 3 Months Later 6 Months Later 1 Year Later Days Until Bottom Max Loss Max Gain The good news:
we'll probably be higher a few months from now. The bad news:
it may hurt on the way there. Over the next
few weeks, at some point we usually saw a test back down after any very
short-term reflex bounce. Sometimes, that re-test was pretty
painful - the average drawdown was -5.9%. However, on
average, the market formed a major bottom 24 trading days later - it was
never less than 13 days or more than 40 days away. And over the
following year, the S&P's average maximum gain was nearly +20%. New High,
Then Large Loss On
Friday, we took a look at "shock days", those one-day wonders that
come out of the blue and totally re-adjust what traders think is
probable. Let's look at it
one other way. Let's go back to 1928 and see what's happened
whenever the S&P had reached a new 52-week high over the past one or two
weeks, and then suddenly erased at least the last two months' worth of
gains. The table below
highlights the S&P's performance going forward. Date 1 Week Later 2 Weeks Later 1 Month Later 3 Months Later 6 Months Later What's most
interesting about this is that much of the weakness was concentrated in
the first couple of weeks. After two weeks, the S&P was positive
only 29% of the time, but by three months later it was up more than 75%
of the time. By waiting for
two weeks to buy and hold for three months, you would have increased
your average return from +2.3% to 3.5%, your average maximum gain from
+6.5% to +8.0% and reduced your average maximum loss from -5.2% to
-4.3%. Here's another
way to look at it: over the next six months, 60% of your
maximum losses would have occurred in the first two weeks. On
7 of the occasions, more than 75% of your losses happened in the first
couple of weeks. This supports
what we looked at above with the McClellan Oscillator and on Friday with
the "shock days". Nothing is guaranteed of course,
especially during what seems like so many never-seen-before
circumstances, but if we can use history at all, then it's pretty clear
that we shouldn't recover and shoot back to new highs without a few big
hiccups along the way first.
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Short-term Outlook
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Commodity Updates
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Equity Market Indicators
Notes: The relentless uptrend since the February bottom met with a couple of spikes in our bearish (for the market) indicators, and except for a small hiccup here and there, stocks didn't pay much mind.
A couple of weeks ago, we got a huge spike in the number of bearish indicators, and after a tiny hiccup, stocks went on to make another high. It was choppy and took longer than usual, but it finally resulted in those gains begin given back per usual. Now we're starting to see a move to the opposite extreme, but it's going to take awhile for the number of bearish indicators to drop off towards 0%.
More history:
* New extreme
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Bonds, Commodities and Currencies - Updates and Extremes
Nothing notable for today.
Jason Goepfert Founder, Sundial Capital Research, Inc.
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