Jul 18, 2014 | chart patterns, indicators, trading strategies
I have been a little “quiet” lately. Kind of unusual for me, granted. But what can I say really that’s new? The stock market’s moving higher – blah, blah, blah. The bond market keeps trying to creep higher – sure, interest rates are basically 0%, so why not? Gold stocks keep trying to grind their way higher after putting in an apparent base. But who the heck ever knows about something as flighty as gold stocks?
So like I said, not much new to report.
So for the record – one more time – let me repeat where I am at:
- As a trend-follower there isn’t much choice but to say that the trend of the stock market is still “up”. So as a result, I have continued to grit my teeth and “ride”. And let’s give trend-following its due – it’s been a good ride.
- As a market “veteran” I have to say that this entire multi-year rally has just never felt “right”. In my “early years” in the market (also known as the “Hair Era” of my life) when the stock market would start to rally in the face of bad economic times I would think, “Ha, stupid market, that can’t be right.” Eventually I came to learn that the stock market knows way more than I do. And so for many years I forced myself to accept that if the stock market is moving higher in a meaningful way, then a pickup in the economy is 6 to 12 months off. As difficult as that was at times to accept, it sure worked.
Today, things seem “different”. By my calculation the stock market has now been advancing for roughly 5 years and 4 months. And the economy? Well, depending on your political leanings it is somewhere between “awful” and “doing just fine.” But in no way has the “old calculus” of “high market, booming economy 6-12 months later” applied.
Again depending on your politics leanings the reason for this lies somewhere between “it is entirely Barack Obama’s fault” to “it is entirely George Bush’s fault.” (I warned you there was nothing new to report).
From my perspective, I think that the charts below – the second one of which I first saw presented by Tom McClellan, Editor of “The McClellan Oscillator” (which he presciently labeled at the time, “The only chart that matters right now”) – explains just about everything we need to know about the stock market actions vis a vis any economic numbers.
So take a look at the two charts below and see if anything at all jumps out at you.
Figure 1 – S&P 500 Monthly (Source: AIQ TradingExpert)
Figure 2 – Fed Pumping (Quantitiatve Easing “to Infinity and Beyond”) propelling the stock market
I am not a fan of using the word “manipulation” when it comes to the stock market. But I am a strong believer in the phrase “money moves the market.” The unprecedented printing of – I don’t know, is it billions of trillions of dollars – has clearly (at least in my mind) overwhelmed any “economic realities” and allowed the stock market to march endlessly – if not necessarily happily – to higher ground.
Thus my rhetorical questions for the day are:
“What would the stock market have looked like the past 5 years without this orgy of money?”
“What happens to the stock market when the Fed cannot or will not print money in this fashion?”
Because this is all unprecedented in my lifetime (as far as I can tell) I don’t have any pat answers to these questions. But I some pretty strong hunches.
My bottom line: Err on the side of caution at this time.
Jay Kaeppel
Chief Market Analyst at JayOnTheMarkets.com and AIQ TradingExpert Pro (http://www.aiq.com) client
Jay has published four books on futures, option and stock trading. He was Head Trader for a CTA from 1995 through 2003. As a computer programmer, he co-developed trading software that was voted “Best Option Trading System” six consecutive years by readers of Technical Analysis of Stocks and Commodities magazine. A featured speaker and instructor at live and on-line trading seminars, he has authored over 30 articles in Technical Analysis of Stocks and Commodities magazine, Active Trader magazine, Futures & Options magazine and on-line at www.Investopedia.com.
Jul 11, 2014 | EDS code, trading strategies
The AIQ code based on Perry Kaufman’s article in the June 2014 Stocks & Commodities magazine, “Slope Divergence: Capitalizing On Uncertainty,” is provided at
www.TradersEdgeSystems.com/traderstips.htm.
I have modified the implementation somewhat from the author’s descriptions. I did not find that the system was exiting in an average of six days but was holding for a longer period. My exits might be the issue so I added a time exit that can be used to force an exit after the “maxBars” input number of bars. I liked the results when my time exit was set to hold for a maximum of nine bars.
Figure 7 shows the AIQ EDS summary long-only backtest report using the NASDAQ 100 list of stocks over the prior four years ending 4/10/2014. Neither commission nor slippage have been subtracted from these results. To get the short side of the system to show a profit, I added slope filters on the NASDAQ 100 index. Note that my parameter settings differ from those suggested by the author.
FIGURE 7: AIQ, SAMPLE RESULTS. Here is a sample AIQ EDS summary long-only backtest report using the NASDAQ 100 list of stocks over the prior four years ending 4/10/2014.
The code and EDS file can be downloaded from www.TradersEdgeSystems.com/traderstips.htm. The code is also shown here:
!SLOPE DIVERGENCE: CAPITALIZING ON UNCERTAINTY
!Author: Perry Kaufman, TASC June 2014
!Coded by: Richard Denning 4/7/2014
!www.TradersEdgeSystems.com
!INPUTS:
momLen is 10.
dvgLen1 is 5.
dvgLen2 is 7.
dvgLen3 is 10.
entryNum is 3.
maxDiverg is 3.
minPrice is 10.
maxBars is 3.
!USER DEFINED FORMULAS:
C is [close].
L is [low].
H is [high].
HH is highresult(H,momLen).
LL is lowresult(L,momLen).
stoch is (C - LL) / (HH - LL).
momSlope1 is slope2(stoch,dvgLen1).
momSlope2 is slope2(stoch,dvgLen2).
momSlope3 is slope2(stoch,dvgLen3).
priceSlope1 is slope2(C,dvgLen1).
priceSlope2 is slope2(C,dvgLen2).
priceSlope3 is slope2(C,dvgLen3).
dvgBuy1 if priceSlope1 > 0 and momslope1 < 0.
dvgBuy2 if priceSlope1 > 0 and momslope2 < 0.
dvgBuy3 if priceSlope1 > 0 and momslope3 < 0.
dvgSell1 if priceSlope1 < 0 and momslope1 > 0.
dvgSell2 if priceSlope1 < 0 and momslope2 > 0.
dvgSell3 if priceSlope1 < 0 and momslope3 > 0.
nPriceSUp is priceSlope1 > 0 + priceSlope2 > 0 + priceSlope3 > 0.
nMomSUp is momSlope1 > 0 + momSlope2 > 0 + momSlope3 > 0.
nPriceSDown is priceSlope1 < 0 + priceSlope2 < 0 + priceSlope3 < 0.
nMomSDown is momSlope1 < 0 + momSlope2 < 0 + momSlope3 < 0.
dvgBuySum is dvgBuy1 + dvgBuy2 + dvgBuy3.
dvgSellSum is dvgSell1 + dvgSell2 +dvgSell3.
Buy if dvgBuySum >= entryNum and C > minPrice.
AllComboExit if (nPriceSDown = maxDiverg and nMomSDown = maxDiverg)
or (nPriceSUp = maxDiverg and nMomSUp = maxDiverg).
Time if {position days} >= maxBars.
ExitBuy if AllComboExit or Sell or Time.
Sell if dvgSellSum >= entryNum.
ExitSell if AllComboExit or Buy or Time.
Jul 8, 2014 | chart patterns, group sector rotation, Seasonality, trading strategies
While looking through the seasonal trends in stocks and currencies, we decided to start running the seasonality scans on the S & P 500 groups. As a reminder here are the criteria we consider when running this.
Our study looks at 7 years of historical data and looks at the returns for all groups in the S & P 500 for the month of July from 2006 to 2013.
We do make an assumption that the month is 21 trading days and work our way back from the last day of the month. July also has the July 4th holiday and a half day trading on July 3rd. if the last day of the month falls on a weekend, then we use the first trading day prior to that date.
We make no assumptions for drawdown, nor do we look at the fundamentals behind such a pattern. We do compare the group to the market during the same period and look at the average SPY gain/loss vs. the average group gain/loss. This helps filter out market influence.
Finally we look at the median gain/loss and look for statistical anomalies, like meteoric gains/loss in one year. Here are top 5 performing groups based on average return.
Average return alone is misleading. In the seasonal analysis we need consistent patterns in the price action throughout the periods we are testing, in this case 7 years. While The S & P 500 Motorcycle manufacturers group (MTRCYCLE) looks good on average, it includes one stellar July of 37.50% back in 2010, and has 2 July’s that were negative returns. NOTE: there’s only one stock in the group (guess which one that is!).
The office REITs group (REITOFC) is more consistent. It has an average return for the last 7 years in July of 6.50%, with the last 6 years Julys all positive. There are no stellar months skewing the average. The group also contains only one stock, Boston Properties [BXP].
Here’s the seasonal chart for BXP
Interestingly the other consistent group in July is another REIT, the Diversified REITs (REITDIV). It has an average return for the last 7 years in July of 6.06%, with the last 6 years Julys all positive. There are no stellar months skewing the average. The group also contains only one stock, Vonando Realty Trust [VNO].
A quick check on what the market did during the same period reveals an average return of 1.83% with 4 gaining Julys and 3 losing Julys.
The Oil & gas Equipment group (OILGASEQ) also had a decent average, but is more volatile over the past years, however the last 5 years have all been gainers.
Remember, we don’t draw conclusions here, just mine for information.
Jul 1, 2014 | chart patterns, trading strategies
It’s the beginning of the month and time to check the seasonal patterns for July. First off some background.
Our study looks at 7 years of historical data and looks at the returns for all optionable stocks for the month of July from 2006 to 2013.
We filter to find two sets of criteria
– Stocks with gains in all 7 years during July
– Stocks with losses in all 7 years in July
We do make an assumption that the month is 21 trading days and work our way back from the last day of the month. July also has the July 4th holiday and a half day trading on July 3rd. if the last day of the month falls on a weekend, then we use the first trading day prior to that date.
We make no assumptions for drawdown, nor do we look at the fundamentals behind such a pattern. We do compare the stock to the market during the same period and look at the average SPY gain/loss vs. the average stock gain/loss. This helps filter out market influence.
Finally we look at the median gain/loss and look for statistical anomalies, like meteoric gains/loss in one year.
So here are the tickers that met the scan on the gain side, There was only 1 stock on the loss side. So we’ll look at the gainers only.
Figure 1 shows the stocks that have had gains in July, 7 years in row.
GLNG is a decent looking ticker, it’s in the LNG business. The average for July is 8.41% gain. The median is 7.63% and there’s no extreme values to skew the average. During the same test period the SPY gained an average of 1.83% with 3 losses and 4 gains.
Figure 2 shows SPY for the same period.
Figure 3 is a chart of GLNG seasonal pattern for the last 7 years in July. The solid black line is the average for the 7 years, these are percentage change day to day. Each line represents a prior year of GLNG.
Figure 3 seasonal average for GLNG average line for last 7 years
With seasonality you have to figure out what timeframe you want to analyze before anything else. Logic would seem to dictate that one week; comparing this week to the same period over X years would be the smallest time period you might consider. However there are events that seem to be seasonally predictable that occur at the end of a month or the beginning of the month. We’ll look at some these in a future article
In June we looked for the same seasonal pattern and no candidates were found on the gainers side. there were plenty on the losers side. Given that seasonally June is a bad month for the market it’s not too surprising.
Here are the July daily charts for the last 5 years for GLNG. We don’t draw conclusions here, just mine for information.
Jun 26, 2014 | chart patterns, indicators, trading strategies
Well the stock market just seems to keep chugging along. Despite the shaky economy, the national debt, the political discord, the terrorists on the march and the price of – well, just about everything made in China. And as a dutiful trend-follower I continue to “ride the ride” all the while repeating the ever apt phrase, “What, me worry?”
Three things for the record:
1) The stock market is in a clearly established uptrend and who am I to say otherwise?
2) Personally I still expect a serious “something” between now and the end of September
3) Arguably the most important bullish seasonal trend of all kicks in at the close on September 30, 2014.
Huh?
Yes folks, as of the close on September 30th it will be time for “the Mid Decade Rally”
Defining the Mid-Decade Rally
For the purposes of this article we will break each decade into two periods:
*Period 1 (i.e., the “Bullish 18″) = the 18 months extending from the end of September of Year “4” (2014, 2004, 1994, etc.)
*Period 2 (i.e., the “Other 102″) = the other 102 months of every decade.
So in a nutshell, Period 1 comprises 15% of each decade while Period 2 comprises 85% of each decade. Given that Period 2 is 5.67 times as long as Period 1 it would seem likely that an investor would make more money being in the stock market during Period 2 than during Period 1.
I mean if you had to choose – particularly given the long-term overall upward bias of the stock market – would you choose to be in the market 85% of the time or only 15% of the time. Safe to say most investors would answer the former. But if you are among those who chose this answer, perhaps you should read a little further.
Period 1: The “Bullish 18 Months” of the Decade
In Figure 1 you see the growth of $1,000 invested in the Dow Jones Industrials Average only during the middle 18 months (Sep. 30, Year 4 through Mar. 31, Year 6) of every decade starting in 1900. See if anything at all jumps out at you from the chart.
Figure 1 – Growth of $1,000 invested in Dow only during “Bullish 18” months of each decade; 1900-present
Does the word “consistency” come to mind? For the record, $1,000 invested only during this 18-month period grew to $40,948, or +3,994%. Now this all looks and sounds pretty good, but surely an investor would have made a lot more money investing in the stock market during the other 102 months of each decade, right? Well, not exactly. In fact, a more accurate statement might be, “not at all.”
Period 2: The “Other 102” Months of the Decade
Figure 2 displays the growth of $1,000 invested in the Dow Jones Industrials Average only during the other 102 months of each decade. $1,000 invested in the market 85% of the time – but excluding the mid-decade bullish period – would have grown to $6,166, or +517%.
Figure 2 – Growth of $1,000 invested in the Dow only during the “Other 102” months of each decade; 1900-present
Now for the record, +517% is +517% and no one is saying that you should simply mechanically sit out the 102 “other” months. But the point is simply that the “Bullish 18” made 7.73 times as much money – while invested only 15% of the time – as the “Other 102” – which was invested in stocks 85% of the time.
The difference is even clearer when the two lines are drawn on the same chart as shown in Figure 3.
Figure 3 – Growth of $1,000 during “Bullish 18″ month (blue line) versus “Other 102″ months (red line); 1900-present
Mid Decade “Bullish 18” Performance
| Period |
% +(-) during “Bullish 18” |
| 9/30/1904-3/31/1906 |
+68.3% |
| 9/30/1914-3/31/1906 |
+30.6% |
| 9/30/1924-3/31/1906 |
+36.2% |
| 9/30/1934-3/31/1906 |
+68.8% |
| 9/30/1944-3/31/1906 |
+36.1% |
| 9/30/1954-3/31/1906 |
+42.0% |
| 9/30/1964-3/31/1906 |
+5.6% |
| 9/30/1974-3/31/1906 |
+64.4% |
| 9/30/1984-3/31/1906 |
+50.7% |
| 9/30/1994-3/31/1906 |
+45.4% |
| 9/30/2004-3/31/1906 |
+10.2% |
Figure 3 – “Bullish 18″ month performance
For the record:
*The average % gain for the Bullish 18 was +41.7%
*The median % gain for the Bullish 18 was +42.5%
On the other hand:
*The average % gain for the Other 102 was +34.3%
*The median % gain for the Bullish 18 was -2.2%
So you see why I am marking September 30, 2014 on my calendar.
By the way, if you like this one, in the immortal words of Jimmy Durante, “I got a million of ‘em.”
Jay Kaeppel
Chief Market Analyst at JayOnTheMarkets.com and AIQ TradingExpert Pro (http://www.aiq.com) client
Jay has published four books on futures, option and stock trading. He was Head Trader for a CTA from 1995 through 2003. As a computer programmer, he co-developed trading software that was voted “Best Option Trading System” six consecutive years by readers of Technical Analysis of Stocks and Commodities magazine. A featured speaker and instructor at live and on-line trading seminars, he has authored over 30 articles in Technical Analysis of Stocks and Commodities magazine, Active Trader magazine, Futures & Options magazine and on-line at www.Investopedia.com.
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