Fear vs Greed

There was some discussion of fear vs. greed the other day in the comments section of the blog. The discussion revolved around whether they were mirror images of each other. My contention was that they aren’t and I pointed to the study regarding Worden Bros. overbought indicator from Monday as evidence of that.

There are many ways to look at fear vs. greed. Today I’ll touch on the topic a bit more. For today’s study I first applied a zig-zag indicator to an S&P 500 chart to identify all places where the market rose or dropped at least 10% before swinging 10% in the opposite direction. Below is a copy of that chart.

While a reversal after a 10% move is an overly-simple and perhaps not terribly accurate definition of a “top” or “bottom”, it does well enough to make today’s point. For instance, I doubt many traders would refer to 10/13/08 as a “top”, but it qualified, so I used it.

I then took the dates of the last 12 tops and the last 12 bottoms going back to 1999 and ran a few simple tests.

The first simply looked at VIX levels. The VIX is often referred to as the “fear index”. It’s really more a measure of expected volatility based on options premiums, but when traders are fearful it tends to spike. I then took an average of the VIX for the tops and the bottoms. At the tops the average VIX reading was 27.41. At the bottoms the average VIX reading was 47.70.

This confirms the obvious point that traders are more fearful at bottoms than tops. It also suggests that expected volatility is much higher at bottoms. This volatility can present opportunity. But while the expected volatility is much higher, what about the actual volatility after the top or bottom has been made?

Below are 1-5 day returns for the 12 tops identified. (Based on $100,000 / trade)

Now look at the 1-5 day returns of the 12 bottoms.

People are too greedy at tops and too fearful at bottoms. Fear is a much stronger emotion, though. It therefore results in much stronger market moves. When trading overbought/oversold methods, traders should take this into account.

The Most Overbought Market At Least 23 Years?

I’ve seen it pointed out a few places that the number of stocks above intermediate-term moving averages (40 or 50-day) is now at an extreme level. I’ve done some testing in the past and found such indicators to be of limited value. Worden Bros. has several indicators that show the % of stocks trading relative to the 40-day moving average. In addition to the simple % above/below, they also show how many are at least 1 and 2 standard deviations above and below the 40ma. I believe these indicators are more telling. I’ve found this information to be especially useful in looking at extreme selloffs and have compared the % 1-standard deviation below the 40-ma indicator (T2114) to my Capitulative Breadth Indicator (CBI). (Click here for that post.)

Part of what gives the CBI and T2114 their effectiveness is the propensity for sharp and powerful short-covering rallies to emerge from such extreme conditions. In developing the Catapult method and CBI indicator I was unable to find an overbought equivalent. Of course the market is dealing with different emotions near tops than it is near bottoms. Fear, which is prevalent near bottoms, is much more powerful than greed, which is prevalent near tops.

So the question then becomes, since there is no CBI reading for extremely overbought, what might the Worden 1-standard deviation measure suggest when it gets extremely high? As of Friday it was certainly extremely high. Over 80% of stocks closed at least 1 standard deviation above their 40-day moving average. Worden Bros. maintains data back to 1986 and this is the 1st time the indicator has cracked the 80% level. I looked at other overbought levels to study the 1-month returns following some less-extreme readings.

As you can see above, returns have generally been positive following other times the indicator has reached extreme levels. On the low end the results are about the same as the long-term market drift. While not shown, periods leading up to 20-days are also all generally positive. As the indicator moves higher the results look even more bullish. But instances are incredibly low, so not much can be extrapolated. I see two points to take away from this exercise: 1) When the market gets extremely overbought that is not necessarily a bad thing, and on its’ own is certainly not a signal to sell short. 2) By this measure the market is now more overbought than it has been in at least 23 years.

The most overbought ever would seem to suggest the market is unlikely to continue to rise at anywhere near its recent pace. On the other hand, those expecting a sharp, sustained selloff from here had better be basing their expectation on evidence other than just overbought breadth.

How Time Stretches Can Provide An Edge

While it seems the S&P has hardly pulled back at all since the March lows, one market that has made it the entire time without a single close below the 10-day moving average is Singapore. EWS has now closed above its 10-day moving average for 25 days in a row. When a stock or ETF spends an extended amount of time on one side of a moving average it creates what I refer to as a “time stretch”. I’ve discussed time stretches on the blog before but not for quite a while.

When a time stretch gets large, such as the current 25-day 10ma time stretch for EWS, you can often expect a move back to the other side of the moving average in the near future. I have found time stretches to be useful in system building.

To demonstrate, looking at the current EWS situation I set up the following criteria among my list of about 115 liquid ETF’s. (This list excludes all inverse and leveraged ETF’s.)

1) ETF must have closed above its 10-day ma for at least 25 days.
2) Today it closes at the highest level of the upswing.

Selling short under those conditions and then covering on a close below the 10-ma provided the following results over the last 10 years across my list of ETF’s:

Trades: 211
Wins: 167
Losses: 43
% Wins: 79%
Avg Win: 1.8%
Avg Loss: -2.1%
Avg Trade: 1.0%

As you can see, although the concept is simple, the results can be quite powerful. Traders may want to consider including time stretches in their bag of tricks. I use them for a few systems tracked in the Gold members section of the website and in Quantifiable Edges Subscriber Letter.

Implications of an Extremely Low Put/Call

One indicator that has received some attention lately is the CBOE Equity Put-Call ratio. Many people believe that very low readings can be a sign of complacency and an impending top. I decided to test this out a little.

Below I look at the 3-day equity p/c ratio compared with the 100-day. To see why I normalize using a long-term moving average, click here. On Tuesday the 3-day average dropped over 25% below the 100 day. This has only happened a handful of times. To get a larger sample size I used a 20% trigger instead.


Based on the above test, the recent extremely low numbers in the CBOE Equity Put/Call ratio don’t appear to be predictive of a selloff. In fact, they could actually be interpreted as a short-term bullish indication.

Is Buying Drying Up…Again?

In the past I’ve discussed how extremely low SPY volume is often a bearish indication. Below is an updated version of a study I posted nearly a year ago on 4/22/08.

While the edge here is not the strongest in terms of % or magnitude it has been consistent over time. Below is an equity graph of the 5-day exit that was highlighted in yellow above.

Volume Spyx Hits Extreme Low – What That’s Meant

While overall volume rose on Thursday, the Quantifiable Edges Volume Spyx indicator once again dropped precipitously. It came in at -12, which is an incredibly low number. I looked back at other times the S&P 500 volume Spyx indicator dropped this low. Going back to 1995, there were only 4 readings of -10 or lower. They occurred on 6/10/04, 4/28/08, 5/30/08, and 11/3/08. In every instance the market was trading lower 2 days later. The average drop for the 2 days was over 1%.

Loosening the requirements to look at instances with a close below 0 produced the following results:


As you’d expect we see bearish tendencies here. As I‘ve discussed in the past the volume Spyx can be especially effective when you also take the day’s direction into account. Low readings on up days tend to be especially bearish while high readings on down days tend to be especially bullish when looking out over the next few days. Below you can see the results following readings below 0 when the market also closed up on the day.

Is SPX Down Big & VXO Down Bearish?

Interesting about today is that while the S&P dropped well over 2%, the VIX (and VXO) also dropped. Often traders will interpret this as bearish. The thought process is that when the VXO doesn’t drop with the market it suggests a possible complacency among traders. The theory is that this complacency may lead to further selling until participants become somewhat fearful again. At that point a rally will become more probable.

I looked at this theory last month when considering action over the course of several days. At the time I found no evidence to support the bearish case. For testing I looked at a 5-day divergence to measure the return in the VXO and S&P prior to triggering. Tonight I looked at a 1-day divergence.

Not only is there a lack of bearish evidence but these results could be considered borderline bullish. I also looked at more extreme 2% SPX drops:

If the number of instances wasn’t so small then I’d certainly consider the results strongly bullish.
A sensible sounding theory is just that – theory. This is an example of why I make every effort to test all of my trading and market bias ideas.

Note: Apologies for the sporadic posts this week. Things should return to normal next week.

Some Simple Shorting Systems

When the market hits new highs it tends to excite the media. The S&P closed at its highest level since early February on Thursday. Such news may sound positive when delivered by an anchorperson. But since the beginning of 2002, when the market is trading below its 200-day moving average, there has been a strong tendency to pull back after hitting news highs. Below are results of some simple systems. These systems call for shorting the S&P 500 any time it hits an X day high while under the 200ma. The trade is covered when the S&P 500 next closes below its Y-day moving average.

All of the systems above have performed quite well on the short side. As you can see, hitting new highs really isn’t something bulls should get too excited about.

Large Gaps Up After The Market Has Already Risen

The S&P futures are up over 2% as I type. Last week I took a look at large gaps higher since September 2008. Generally the result was the larger the gap up the better the market performed that day.

Not all gap formations are equal, though. It can also be important to consider the state of the market prior to the gap. When the market is already extended up the chances of a reversal down are much higher. One simple way to define an “extended” market would be to say if it has closed higher the last 2 days it is extended. Now let’s look at some test results. All tests were run on the SPY over the last 10 years. Results are based on $100,000 per trade.

The 1st study looks at buying at 1 minute past the open on a day where the SPY gapped up 1% and selling at the 4pm market close. In these cases the SPY had NOT risen the last 2 days in a row:

(click to enlarge)

As you can see the results are clearly bullish. Over 2/3 of the trades were profitable and winners were about the same size as the losers.
Now let’s look at the results of buying such 1%+ gaps when the market has already risen 2 days in a row:
(clck to enlarge)

Results are flipped here as we now have over 2/3 of the trades as losers. Again winners and losers are about the same size. The solid bullish tendency has switched to solidly bearish.

For those interested below are all of the instances of the 2nd (bearish) test.

(click to enlarge)

Good Days With Bad Finishes

Finishes like Tuesday’s often feel bearish to many traders. They interpret the inability of the market to hold on to its gains as a potential negative. In actuality, while the market may struggle over the next 1-2 days, over the course of the next 1-2 weeks implications appear bullish.

Below is a table showing the result of buying any time the S&P closes over 1% below its high for the day but still positive by at least 1%:

Between 5 an 9 days out you’ll notice some strongly bullish results. Not visible in the above table is that 19 of 24 instances (79%) posted a close higher than the trigger day within 3 days. Looking out 6 days that number increases to 23 of 24 instances (96%).

Intermediate-term Consequences Of A 30’s-Like Market

I don’t normally reprint large sections of the Subscriber Letter on the blog but I’ve received several inquiries about the longer-term and I figured, “What the heck.” Below is from this week’s intermediate-term outlook:

The question that I keep hearing over and over is “Is this rally for real?” What needs to be considered when formulating an answer is what constitutes a “real” bull move. It is my contention that the current environment most resembles that of the 30’s from a trading standpoint. Certainly the kind of damage that has been done to the market has not occurred since at least that time period. Additionally, volatility levels reached during the course of this bear have reached levels not seen since at least the 30’s in some cases.

I’m of the belief that the market is likely to trade in a very wide range over the next few years. It is unlikely to begin a new secular bull market during this time. Rather I believe we are likely to see both bull and bear runs occur. Some of these, such as the October and November rallies, may be too quick for most traders to capture significant portions of. Others may last several months before reversing course in a convincing manner. Below I’ve again pulled up some charts from the 30’s. In this case I’ve overlayed the zig-zag indicator in light blue.

What the zig-zag does is identify all moves of at least 15% either up or down from close to close. You’ll notice there were a substantial number of these moves during that time:

Late 1929 – late 1934. (created with Tradestation)

Lots of sharp sizable moves can be seen during the period. The 1932 low seen here is “the” low.

Next is late ’34 to late ’40 (created with Tradestation):

Several bull and bear markets could also be identified here.
The next great bull move, though didn’t take place until 1942 as can be seen below:

So is it for real? Well, I’m not at all convinced that we’re looking at a 1942 bottom at this point. My contention is we are likely years away from that. The moves seen between 1929 and 1941 offered plenty of opportunity, though. I expect the next several years of this market will as well. Traders need not worry whether we are in a bull or bear market. Leave that to the media and instead just focus on the likely direction based on the evidence for the next few days, weeks or perhaps months. Remain nimble in your assessment as conditions may change rapidly. Whether the “ultimate” bottom gets hit is irrelevant. The ultimate bottom in the charts above was made in 1932. Close to 10 years passed before the next great bull market emerged. Picking that 1932 ultimate bottom and riding the wave higher was not the key to big profits. Much more important than picking the bottom would have been to stay nimble and take advantage of some of the vast directional opportunities over the next 10 years – prior to the “real” bull emerging.

A few quick notes pre-open

Well, I was going to post a study suggesting more downside along the lines of this one. With the futures down close to 2% that seems unnecessary. Therefore readers may rather check out the “2% Gaps Down” table from a while back.

It should be noted that since that study there have been 3 more instances – 2/17, 2/27, and 3/5. (I personally did not consider the 2/17 one valid because it came after a US holiday when the foreign markets were open for 2 days.) In every case the market continued lower that day, unlike many in the study. Also, the 3/5 instance was the only one of the 3 that managed a higher close in the next few days. I still consider a 2% gap open to have a short-term bullish influence, though. The 2/27 instance is really only the 2nd true maverick, along with 10/6/2008, among the bunch.

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Two Strong Up Days Under The 200 Revisted

For the 2nd day in a row the market finished up strongly on Thursday. Over a year ago on the blog I posted a simple study that looked at S&P performance following two consecutive days where it rose at least 0.75% and closed below the 200ma. At the time the 0.75% hurdle was a good sized 1-day move. In the last year a move of that magnitude hasn’t been significant. Still, I thought it would be interesting to go back and run the results again using the same parameters.

These results are similar to the ones I showed last year. In fact the negative influence is now even more pronounced. To see how poorly the market has performed under these conditions in the last year I re-ran the test to show just the time period since the original blog piece:

The fact that the 0.75% hurdle has become easier to achieve hasn’t weakened the bearish influence of the setup. I attribute a large part of reason for this to be the exceptionally choppy environment the market has been in over the time period.

Should The 2% Gap Study Be Adjusted For Volatility?

On Tuesday I posted a study that looked at 2% gaps in the SPY and what the response has been following such a large gap. Afterwards I received an email from a reader who posed the following question:

Rob… a thought on gaps. Perhaps they should be measured in terms of recent ATR volatility rather than an absolute amount like 2%. A 2% gap when ATR_20 is 2% would seem to mean something different than when ATR_20 is 1%.

It’s a good point, and one that has been raised before, so I thought I’d share my answer with you.

The reason I’ve stuck with the absolute number so far is twofold: 1) If you look at the times when the 2% gaps occurred they were all during relatively volatile periods. This somewhat reduces the need to filter by ATR. 2) If I use ATR as the criteria INSTEAD of an absolute 2%, then I will also get a number of gaps that are much smaller included in the study. Is a 1% gap in a non-volatile period the same as a 2% gap in a volatile period? Perhaps from a psychological standpoint it is similar, but if you’re using it to project returns going forward then I’d say it is much different.

Perhaps the best solution would be “2% AND at least an ATR of X”. With only 32 instances to start with I hate to filter too much though.

Unfortunately, I don’t think there is a right way to do it. Hence the reason I typically try and test multiple ideas and take into account not only price movement, but relative volume, breadth and sentiment as well. You get enough things saying “buy” or “sell” and you’ve got a decent chance of being right.