Fed Studies and RSI(2)

Tuesday could see some sharp moves thanks to the Fed. I’d encourage readers to review some of the Fed studies I’ve posted previously. One thing to keep in mind is that strong reactions to the Fed can often be faded over the next few days.

I got Larry Connors new book, “Short Term Trading Strategies That Work” in the mail yesterday and have read most of it. While a good portion of it has been covered by him before either in other books or on the TradingMarkets site, there are a few new ideas in there. If I can take one idea from a trading book and easily test or apply it to my own trading then I consider it worthwhile reading. This book has more than one.

There was a chapter on the RSI(2) that was quite interesting. I was pleased to see his findings were similar to Michael Stokes recent findings as well as Damian Roskil’s. Others who have published useful information on RSI(2) include Woodshedder, BHH at IBDindex, and Dogwood.

Option Claus

No doubt traders will hear about a possible “Santa Claus Rally” many times in the next few weeks. When looking at the S&P 500, though, I found the best week in December to be option expirations week. The edge has been especially pronounced over the last 24 years. During that period the market has closed the week higher about 81% of the time.

FTD’s After the Crash of 1929

The market posted a Follow Through Day again last week. This is at least the 6th Follow-Through Day since the 2007 top. New blog readers may want to check out the series of studies I’ve written on Follow-Through Days (FTD’s) to gauge their usefulness.

There are some issues a trader would have if they used a FTD as a market buy signal. (This is not the recommended use by IBD, but does help to determine the predictive power of FTD’s when conducting studies.) One issue is that they tend to commonly fail during difficult bear markets.

Several weeks ago in the Subscriber Letter I posted a study which looked at FTD effectiveness following the Crash of ’29. (This study only looked at the Dow.) Below is an excerpt from that Letter:

I thought it would be interesting to see how FTD’s performed following the 1929 crash. As a brief reminder, “success” for a FTD would entail either 1) The market making a new high or 2) a rally from the close of the FTD that equals at least twice the distance from the low to the FTD. Below are charts spanning the period from 1929 to in 1932.


In this chart we see several failures and one FTD that led to a rally meeting its target. While it didn’t meet the definition of success, the rally in the early part of 1930 was actually the best over the time period.

Next is ’31 – ’32:


Plenty more failures are seen here before the market finally bottoms in mid-1932. All told there were 13 failed FTD’s and one successful one before the 1932 bottom arrived.

A FTD is a positive sign when looking for a potential market bottom and subsequent rally. The current rally attempt may succeed. The market certainly seems overdue for a substantial and sustained rally. FTD and other bottoming signals have proven far less reliable over the last year. There have been a few other times where they have struggled as well. The period above is one example. Just something for the back of the mind as the current rally attempt unfolds.

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Anyone who would like to purchase the FTD code for their own testing may do so here.

A note to blog readers: I will be out of action most of this week. There may not be any other posts until next week. Fear not. I shall return to the blogosphere next week with a vengeance. – Rob

A note to Gold & Silver Subscribers: I completed implementation of a new distribution system. I believe everything is working fine. If you did not receive tonight’s Letter, please contact me ASAP.

Volume Spyx Patterns

A quick look at the S&P 500 Volume Spyx chart below (and available each night on the home page) shows that while the market rallied on Tuesday and Wednesday the Spyx level rose. This is in contrast to other recent rallies where the Spyx fell as the market rose. This is potentially a good sign. Let’s look at the volume Spyx pattern in detail to see why it may be a positive. Then I’ll offer my thoughts at this time and also compare it to standard volume patterns. (Those not familiar with Volume Spyx may click here to learn more.)

First, below is a table showing data when a two-day market rise occurs with increasing Spyx levels:

While not overwhelmingly bullish, there is a clear upside edge over the next 1-10 days based on this pattern – especially day 1. The average day over the entire time period only gained $24, so the difference is substantial.

Now let’s see what happens when only 1 of the days occurs with a rising Spyx:


Very choppy action with a slight negative overall tilt.

What if the Spyx sinks both days while the market rises?

Results here are quite a bit worse on average. It’s still close to a 50/50 proposition but risks clearly outweigh rewards.

I did look at how the 1st (bullish) test has performed over the especially choppy and bearish period from 6/1/07 to now. Over this time there have only been 4 instances and results were split. As challenging as the current market is I’m not prepared to view the results in a clearly bullish light. I do think it’s better than seeing either of the alternatives though.

Lastly, I took a look at running similar tests using straight volume instead of the Quantifiable Edges Volume Spyx to see if it provided the same edges. First I present the “bullish scenario” with two up days on rising volume:


Here again we see an upside bias. The problem is it is not nearly as pronounced as when using the Spyx. In fact it’s about equal with the long-term drift of the market, which suggests no significant edge.

What if we look at the bearish Spyx scenario using volume as a substitute?

Rather than clear downside edge what we have here is again less pronounced. The suggestion is chop rather than true downside.

Several times lately I have substituted Volume Spyx levels for actual volume levels in testing patterns and found the edge to be more pronounced. The S&P 500 volume Spyx is updated each night on the home page. It can be viewed for free. Gold level subscribers are able to download historical data on both S&P 500 and Nasdaq Volume Spyx Levels each night for research or further evaluation.

I will continue to provide updates and research associated with this newly published tool.

Gold Level Subscription Scorecard For November

While the market once again struggled mightily in November, the volatility made for some nice opportunities for Gold Level Subscribers. Once again this month Quantifiable Edges proprietary Catapult trading strategy which underlies the CBI was best able to take advantage of environment. It was designed to prosper under extreme selling conditions. It has performed exceptionally well the last 2 months with big gains also coming in October.

Before revealing the results, some important notes to review:

I don’t suggest position sizes. The primary reason for this is I’m not acting as a financial advisor. I don’t feel it is appropriate to suggest allocation sizes without understanding someone’s financial situation and risk tolerance. Even for my own trading I run different portfolios with different levels of aggressiveness. For instance, my most aggressive portfolio is my IRA. Here I may use options to sometimes get 400-500% leveraged. Other portfolios on the other hand normally take much more conservative stances and some rarely reach or exceed 100% exposure.

Since I don’t suggest position sizes this is should not be considered a performance report, but rather a trade idea scorecard. Therefore, no matter how objective I try to be the reporting of the results is always going to be skewed depending on how you approach the trades. For instance, I always recommend scaling into the Catapult positions in 3 parts, whereas the “System” trades (whatever system I unveil other than Catapult) are normally one entry. The “Index” trades I normally recommend scaling into as well. For my own trading I trade much larger size with the index trades than any of the individuals. I also control my exposure by limiting the total amount invested per day. As I mentioned, this will vary depending on the account I’m trading. My most aggressive account I may put in up to 100%/day and get heavily leveraged using options. A more conservative account may max out at 15%-20% per day.

It’s unlikely anyone would have taken all of the trades with equal amounts, so personal results would vary greatly depending on the trader’s approach. Still, there was more than ample opportunity to take advantage of the Quantifiable Edges trade ideas in November. With all those caveats in mind, results are listed below and broken down by category.

All of the individual trades are listed in the December 3, 2008 Quantifiable Edges Subscriber Letter. I’ll be happy to provide a copy of this Letter to anyone who signs up for a free trial subscription.

5% Drops Revisited

About a month ago I showed how the S&P 500 has performed following days where the market dropped 5% or more. In most cases such a strong reaction was an overreaction and the market closed above the close of the 5% drop day shortly thereafter.

Since I showed that table a month ago we have had SIX more 5% drops. Five of the six saw the same pattern with some kind of bounce in the next few days. Below I’ve updated the table which lists all 5% drop days and whether they closed above the 5% drop day close in the next week.

Detail & Evolution of the 200/50 Quadrants

I decided to do a follow-up on yesterday’s post and include some pictures. What we’ll uncover through this exercise is that the edges aren’t quite as cut and dry as they might appear by simply looking at the end results. (Hint: they almost never are.)

Rather than view a table I’ve put together 4 equity curves based on owning the S&P when it was in a certain quadrant. I’ve also changed the test to buy $100k worth of the cash index rather than 1 share. This effectively gives us percentage returns. It also changes the end results slightly so you’ll need to be aware of the differences.

First let’s look at owning the S&P when it’s above the 200 and 50 day moving averages. Recall from yesterday that since 1960 the market has spent 53% of its time in this quadrant:

Over time this market position has been a steady winner. It has sat out bad drawdowns and has had some nice upside participation. I find it interesting that it peaked in 2000, though. The most recent bull market of 2003-2007 failed to see much headway at all when the market was above these two lines. I would classify it as a weak bull. It was extremely rotational and saw little in the way of buying enthusiasm when the market began hitting new highs. While I observed these characteristics at the time, this is the first time I’ve viewed it in this manner.

Now the 2nd quadrant – above the 200ma and below the 50ma. Recall from yesterday that since 1960 the market has only spent 15% of its time in this quadrant:

Here we see that this was not a bullish quadrant to be in until the bull market of the 80’s began. During the 60’s stocks spun their wheels in this area and during the 70’s they lost money. The total gains are not as large here as in Quadrant 1 when looking at percentage gains. Yesterday they were larger when looking at point gains. That’s due to the fact that this quadrant did its losing early on when the points were low and its winning more recently when the points were high. Thus the point gains were a bit exaggerated.

The exaggeration is not a bad thing. In fact, using points rather than %’s basically front weights more recent developments. Think of it as an Exponential Moving Average vs. a Simple Moving Average. The gains since 1980 have been much greater per day in here than in Quadrant 1. The total percent gained is almost the same over that time and the market has spent over 3 times the amount of time in quadrant 1 vs. quadrant 2. (55% vs. 16% since 1980) Again, Quadrant 2 outperforms Quadrant 1 although its not as obvious just from the graph. Short-term pullbacks in long-term uptrends have made for good buying opportunities.

Now Quadrant 3 – below 200ma and above 50ma. The market has spent its least amount of time here – only 9% of days since 1960:

This has basically been a pass-through quadrant. When the market is emerging from a bear and beginning a new bull some gains are to be found here. I also broke this down by where the quadrant was entered – did it come from 1 or 4? Not surprisingly almost all gains were realized when this quadrant was entered from Quadrant 4 and moving up.

Now let’s look at Quadrant 4 – below the 200ma and below the 50ma in which the market has spent 23% of its time.

A few spikes up when the market was emerging from a bear market or steep correction. Other than that it was not a place you wanted to bet on the long side. When the market enters this quadrant from above it’s probably best to adjust your strategy and trade in bear market mode.

A big take-away is that the market evolves over time. Sometimes this is missed when looking only at tables. Sometimes equity curves are able to capture this well. By understanding how the market has reacted in the past, especially the more recent past, we can better adapt our trading to take advantage of its movements.

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Other bloggers who have written about evolving markets in detail include Michael Stokes at MarketSci. (His S&P 500 vs. Consumer Discretionary post is one recent example.)

Dr. Brett Steenbarger of Traderfeed also discusses market evolution and he had an especially interesting post today about how reaction to bearish momentum days has changed over the last several years.

Where The Gains And Losses Have Been Made Over The Long Term

An interesting conversation I had with another trader a couple of weeks ago inspired me to take a look at market performance based on the market’s position relative to its moving averages. Below I broke down the position of the market into 4 quadrants: 1) Above both the 200ma and 50ma, 2) Above the 200ma and below the 50ma, 3) Below the 200ma and above the 50ma and 4) Below both the 200ma and 50ma. I used simple moving averages in all cases. The performance of the S&P since 1960 is shown by quadrant in the table below:

A few comments:

1) The biggest long side edge appears to be when the market is trading above its 200 but below its 50-day moving average. At this point the market is in a long-term uptrend but is not extended to the upside over the short-term.

2) There’s a clear distinction between long-term uptrend and long-term downtrend results. The simple rule of looking for long trades above the 200ma and short trades below the 200ma appears to provide an edge.

3) Going long when the market moved into quandrant 1 (> 200 and > 50) and exiting when it left this quadrant would have only been a profitable trade 29.8% of the time. The edge comes from the fact that some very big moves were caught.

4) Going short when the market moved into quandrant 4 (
In the next few days I’ll show a similar test using shorter-term moving averages.

Volume Spyx Indicator Suggesting A Pullback

Earlier this week I introduced the Volume Spyx indicator. Testing has shown that risks often outweigh rewards during days following low Spyx readings. We’ve now had three days in a row of readings below 30. Below is a test which looks at similar streaks:

Over the next 7 days there appears to be a bearish bias. Not seen in the above table is that 75% of instances closed below the entry at some point in the next 3 days, 84% in 5 days and 94% within 9 days. A decent sized pullback tends to occur at some point in nearly all instances.

The Dangers Of Shorting Near A Potential Bottom

One thing traders need to keep in mind in the current environment is that when the market is bouncing off of intermediate-term lows it is more likely to get overbought and STAY overbought than when it’s simply consolidating in a downtrend. Shorting bounces off lows typically carries an extra level of risk because of this.

Let’s look at the how the market set up as of Tuesday’s close as an example. SPY closed higher 3 days in a row. Tuesday was the narrowest range in the last 5 days. When trading under the 200-day moving average, this combination can signal the market is likely to pull back. See the test below:

The propensity to pull back is most pronounced over the first 4 days.

Now let’s break down the above results a little differently. First let’s look at times the SPY set up as above but was NOT coming off a 50-day low:

Results here are decidedly more negative than in the original study. Two days out for example there are only 18% winners.

Now let’s look at the first setup again, but this time we only want to see those trades that were coming of a 50-day low:

There is no longer a bearish edge to the setup. In fact, there appears to be a bit of a bullish one. Now 2 days out there are 82% winners. (Although instances are low and that’s not really the point.) The point is that it is much more dangerous to short a market coming off of fresh lows. This is especially true when the lows occurred on extremely oversold conditions.

While previous attempted rallies did quickly roll over the last 2 months, that’s not always the case. Examples of oversold bounces off lows that would have been especially dangerous to short include August 2007, October 2002 and September 2001.

Introducing Volume Spyx

Over the Summer I developed a volume-based indicator that I decided to call Volume Spyx. I have been watching it closely ever since and have posted several studies to the subscriber letters associated with Volume Spyx. Essentially, it looks at an array of securities and compares their volume. Spyx readings are calculated for the NYSE (and compared to the S&P 500) and for the Nasdaq. I primarily use it on daily charts, but weekly have also tested well, and there even seems to be some edge using intraday bars. What I found is that in general, high Volume Spyx readings suggest a bullish bias and low Volume Spyx readings suggest underperformance or a bearish bias.

Below is a table taken from the S&P 500 Spyx Volume 1 document (Volume 2 should be out shortly). The document is 6 pages long and details market statistics related to Spyx levels. The document is available in the Quantifiable Edges Charts page. To access the charts pages you must be a subscriber, but trial memberships are available with just a name and email address. (Click here to sign up.) The table below looks at the period 1/1/1994 – 6/30/2008.

While volume Spyx can be used to help establish a trading bias on its own, Spyx tend to show larger edges when used in conjunction with price movement or other indicators. Below is a study from last night’s Subscriber Letter which demonstrates how I might use Volume Spyx in my analysis.

Low levels of Volume Spyx have typically led to market underperformance. This is especially true when they occur on an up day. There have only been 2 instances where the S&P 500 Volume Spyx has come in under 40 and the market has gained 5%. Therefore I loosened the parameters to a 3% gain.


Still the number of instances is low, but a low Volume Spyx combined with a price spike higher has been a bad combination. Below are the 7 instances and their 2-day returns:

I will be pointing out unusual Spyx activity and what it may suggest as instances arise. I’ve also decided that at least through the end of the year I will post the chart of the S&P 500 Volume Spyx on the Quantifiable Edges home page for all to see.

Thanksgiving Edge?

I’ve often heard about the positive tendencies of the market to rally Thanksgiving week. So I ran a quick test:

The above results actually go through the Monday following Thanksgiving. Positive tendencies may have existed in the distant past, but over the 21-year period I looked at there doesn’t appear to be any edge – bullish or bearish.

The market rallied hard on Friday after hitting historically extreme conditions. There are reasons to be optimistic about some follow-through this week. Thanksgiving doesn’t appear to be one of those reasons, though.

XXXtreme

So every few weeks a new selloff emerges that attempts to one-up the previous selloff. I showed some tables with incredible extreme conditions on 10/9 and 10/27. And now I present…contestant #3.

Also notable is that the CBI popped up to 13 today.

The top 3 breadth stats come from Worden Bros. TC2000.

P.S. Traders may want to take a look at the charts following the previous two extreme posts.

When Studies Collide

Monday’s breadth study suggested a bounce was likely. On Tuesday the bounce arrived. The S&P rose about 1%. But breadth was still miserable. The NYSE Up Issue % came in at 36%. Weak breadth on an up day is something I’ve gone over before. Three such studies from the blog came on June 10th, September 11th, and October 24th. While the bullish study from last night remains valid, these three are all in conflict with it.

Frequently I’ll see studies based on different indicators conflict with each other. It’s normal. One tool I use to help me sort through the studies is the Quantifiable Edges Aggregator. It helps to provide a quantified snapshot of all I’m seeing and aids me in setting my market bias.

Having studies based on one indicator conflict with each other is not normal. In this case it’s NYSE Up Issues %. It muddies my interpretation of the given indicator and dilutes its value. It’s very rare but in such cases I simply zero out the studies. When the edge is not clear, I step aside and wait until there is a clear edge.

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Just a quick reminder to those in the Boston area that I’ll be giving a presentation on short-term market edges tonight.