Category Archives: commodities

The Rally in “Stuff” Rolls On

back testing, commodities, educational newsletters, ETFS, jay kaeppel

In this article, dated 7/10/2020, I noted that my “Stuff” Index was coming on strong and that its performance may be a “shot across the bow” that some changes may be coming to the financial markets.  Since then, the trend has accelerated.

STUFF vs. FANG vs. QQQ

Figure 1 displays the performance of STUFF components since 7/10

Figure 2 displays the performance of FANG components since 7/10

Figure 1 – Price performance of Jay’s STUFF Index components since 7/10

Figure 2 – Price performance of FANG stocks since 7/10

For the record, the “high-flying” Nasdaq 100 Index (using ticker QQQ as a proxy investment) is up +4.0% during the same time.

Is this a trend – or a blip?  Unfortunately, I can’t answer that question. But it certainly appears that there is something afoot in “Stuff”, particularly the metals.  Figure 3 displays the weekly charts for ETFs tracking Silver, Gold, Palladium and Platinum (clockwise from upper left). 

Figure 3 – The metals components of the Stuff Index (Courtesy AIQ TradingExpert)

When it comes bull markets in metals, the typical pattern historically goes something like this:

*Gold leads the way (check)

*Eventually silver comes on strong and often ends up outperforming gold (check)

*The other metals rise significantly “under the radar” as everyone focus on – literally in this case, ironically – the “shiny objects” (gold and silver)

Again, while I had inklings that a bull market in metals was forming (and have held positions in them for several years, and still hold them), I certainly did not “predict” the recent explosion in gold and silver prices. 

Two things to note:

*Gold and silver are obviously very “overbought”, so buying a large position here entails significant risk

*Still it should be noted that both SLV and PPLT would have to double in price from their current levels just to get back to their previous all-time highs of 2011

So, don’t be surprised if “Stuff” enjoys a continued resurgence.  Note in Figure 4 that a number of commodity related ETFs are way, way beaten down and could have a lot of upside potential if a resurgence actually does unfold.

Figure 4 – Four commodity ETFs weekly (Courtesy AIQ TradingExpert)

What is interesting – and almost not visible to the naked eye – is the action in the lower right hand corner of these four charts. To highlight what is “hiding in plain sight”, Figure 5 “zooms in” on the recent action of same four tickers as Figure 4, but in a daily price format rather than a monthly price format.

Figure 5 – Four commodity ETFs daily (Courtesy AIQ TradingExpert)

Despite the ugly pictures painted in Figure 4, it is interesting to note in Figure 5 that all four of these commodity related ETFs have rallied sharply of late.  There is of course, no guarantee this will continue.  But if the rally in “Stuff” – currently led by metals – spreads to the commodity sector as a whole, another glance in Figures 3 and 4 reveals a lot of potential upside opportunity.

Time will tell.  In the meantime, keep an eye on the “shiny objects” (gold and silver) for clues as to whether or not the rally in “Stuff” has staying power.

See also Jay Kaeppel Interviewin July 2020 issue of Technical Analysis of Stocks and Commodities magazine

See also Jay’s “A Strategy You Probably Haven’t Considered” Video

See also Video – The Long-Term…Now More Important Than Ever

Jay Kaeppel

Disclaimer: The information, opinions and ideas expressed herein are for informational and educational purposes only and are based on research conducted and presented solely by the author.  The information presented represents the views of the author only and does not constitute a complete description of any investment service.  In addition, nothing presented herein should be construed as investment advice, as an advertisement or offering of investment advisory services, or as an offer to sell or a solicitation to buy any security.  The data presented herein were obtained from various third-party sources.  While the data is believed to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  International investments are subject to additional risks such as currency fluctuations, political instability and the potential for illiquid markets.  Past performance is no guarantee of future results.  There is risk of loss in all trading.  Back tested performance does not represent actual performance and should not be interpreted as an indication of such performance.  Also, back tested performance results have certain inherent limitations and differs from actual performance because it is achieved with the benefit of hindsight.

How to Know When to Worry About Inflation

commodities, educational newsletters, jay kaeppel

Inflation was a big deal – back in the late 70’s and early 80’s.  Since then it has been the subject of a whole lot of “the boy crying wolf” scenarios.  Take a look at Figure 1.  The red line displays the 12-month rate-of-change in the Consumer Price Index (i.e., the annual rate of inflation) since 1913.

Figure 1 – The Consumer Price Index (1913-2020)

Things to note, focusing on 1930 forward to the present:

*In the 1930’s we had deflation (actually much worse than inflation as the economy essentially spirals lower and slower) with the CPI reaching almost -10%

*There were peaks in the 15% range in the late 1940’s and late 70’s/early 80’s

*As you can see in the black box to the right hand side, inflation has been less than 5% annually for most of the last 35 years

As a result, most investors have been conditioned to not fret too much about inflation.  And any time spent actually worrying about inflation in the past several decades has been a waste of good anxiety.

But nothing lasts forever.  Especially in the financial markets, where things tend to move in a cyclical nature over long periods of time.  To illustrate this point with a random, yet related example, consider Figure 2 which displays the yield on 30-year treasury bonds since 1942.

Figure 2 – 30-year treasury bond yield (1942-2020) (Courtesy: www.StockCharts.com)

Since the early 1980’s, investors have been nicely rewarded for holding bonds – especially long-term bonds.  But from the mid 1950’s into 1980 the experience was much different (rising yields equate to lower bond prices).  Presumably someday rates will rise again and an entire generation of bond investors will have no idea what is happening to their investments (see here, here, here and here).  But for now, we are focusing on inflation.

How to Know When to Worry About Inflation

I’ll give you three things to follow. 

#1. Gold

In a recent paper co-authored by legendary trader Paul Tudor Jones (see here) the authors laid out the case for higher inflation in the years ahead and suggested gold bullion could reach $2,400 an ounce.  Is this a possibility?  Absolutely. 

Figure 3 displays from 2005 through 2012:

*ticker GLD (an ETF that tracks the price of gold bullion)

*my own index called ANTIGLD3 (components highlighted on right) with a Front Weighted Moving Average and a 55-week exponential moving average)

The ANTIGLD3 Index is a contrarian trend-following tool, i.e., when this index is in a downtrend it is bullish for gold and vice versa.

Figure 3 – Ticker GLD versus Jay’s ANTIGLD3 Index (2005-2012) (Courtesy AIQ TradingExpert)

Figure 4 displays the same tickers from 2012 into 2020

Figure 4 – Ticker GLD versus Jay’s ANTIGLD3 Index (2012-2020) (Courtesy AIQ TradingExpert)

The key thing to note in Figure 4 is that after several years of whipsaws the two trend-following indicators applied to ANTIGLD3 are in a clear downtrend (since this is a contrarian index that means it is purportedly bullish for gold). 

So, is it off to the races for gold?  I can’t say for sure. But it appears to be trying. Also note that gold can rally significantly in price for reasons other than inflation (see 2005-2011 rally)

I have positions in gold and gold stocks but not huge ones.  For whatever reason, so far, I am “not feeling it.”  As you will see in a moment, some inflation trend-following “things” that I watch have yet to confirm that inflation is an imminent threat at this exact moment.

But I am holding my positions just in case gold itself is the actual “leading indicator” in this story.

#2. The Aussie Dollar versus its 24-month moving average

I covered this in detail here so will not get too in-depth here.  But you can get the gist of it pretty simply from Figure 5. The top chart is ticker FXA with a 24-month exponential moving average and the bottom chart is ticker GSG which tracks the Goldman Sachs Commodity Index.

Figure 5 – Ticker FXA (top) and ticker GSG (bottom) (Courtesy AIQ TradingExpert)

Long story short, commodities – or “hard assets”, are typically a good place to be during a period of sharply rising and/or high inflation – perform better when FXA is in an uptrend (i.e., above the 24-month EMA) than when below.  As of early July FXA has just moved above its 24-month EMA.  For the record, I usually only consider this at month-end.  So, check back after 7/31. 

If FXA establishes an uptrend, the likelihood of higher prices for commodities – including gold – rises. Thus, an uptrend for FXA would be another potential warning sign of impending inflation.

#3. TIPs versus Long-Term Treasuries

TIPs bonds are Treasury Inflation Protected securities, i.e., the principal can rise as inflation (based on the Consumer Price Index) rises (see here).  In other words, a TIP bond can gain value as inflation rises. Long-term treasuries on the other hand are the securities most likely to get hurt by a rise in inflation (as the rate of return is fixed once you buy the bond and a rise in inflation can reduce the future value and/or purchasing power of that fixed return). 

So, in a low inflationary period we typically see TIPs fall relative to long-term treasuries and during rising inflation we would expect to see TIPS rise relative to long-term bonds. 

Figure 6 displays the chart of ticker TIP relative to ticker TLT on a weekly basis (with a 200-wekk moving average) from www.StockCharts.com.

Figure 6 – Ticker TIP relative to ticker TLT (weekly) still trending lower (Courtesy: www.StockCharts.com)

The bottom line: While gold itself is attempting to breakout to the upside and the Aussie Dollar is trying to establish an uptrend, the TIP:TLT relationship is not presently indicating any meaningful inflationary concerns. 

Summary

Inflation has been low for about 35 years.  But as they say, “don’t go to sleep on it.” 

If you want to be objectively prepared, keep an eye on:

*Gold bullion (in an uptrend, confirmed by a downtrend in my “anti-gold index”)

*The Aussie Dollar (No trend at the moment, but trying to establish an uptrend)

*Ticker TIP versus ticker TLT (Nowhere close to an uptrend right now)

So one up, one down and one sideways.  But pay close attention going forward.

If and when all three establish uptrends, the game we’ve all been playing for several decades will likely change dramatically.

See also Jay Kaeppel Interview in July 2020 issue of Technical Analysis of Stocks and Commodities magazine

See also Jay’s “A Strategy You Probably Haven’t Considered” Video

See also Video – The Long-Term…Now More Important Than Ever

Jay Kaeppel

Disclaimer: The information, opinions and ideas expressed herein are for informational and educational purposes only and are based on research conducted and presented solely by the author.  The information presented represents the views of the author only and does not constitute a complete description of any investment service.  In addition, nothing presented herein should be construed as investment advice, as an advertisement or offering of investment advisory services, or as an offer to sell or a solicitation to buy any security.  The data presented herein were obtained from various third-party sources.  While the data is believed to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  International investments are subject to additional risks such as currency fluctuations, political instability and the potential for illiquid markets.  Past performance is no guarantee of future results.  There is risk of loss in all trading.  Back tested performance does not represent actual performance and should not be interpreted as an indication of such performance.  Also, back tested performance results have certain inherent limitations and differs from actual performance because it is achieved with the benefit of hindsight.

The Ultimate Ugly Contrarian Play

commodities, educational newsletters, jay kaeppel, technical indicator

They always say you should buy when there is “blood in the street.”  They also say, “buy them when nobody wants them.”  So, let’s consider today what could be the most unloved, bombed out, everybody hates it “thing” in the world – coal.

Ugh, just the mention of the word coal elicits a recoiling response.  “Dirty energy!”  “Climate change inducing filth!” “Ban coal!”.  And so and so forth.  And maybe they have a point.  But “they” also say “facts are stubborn things” (OK, for the record, I think it’s a different “they” who says that but never mind about that right now).

So here is a stubborn fact: coal supplies about a quarter of the world’s primary energy and two-fifths of its electricity.  As I write, two of the fastest growing economies (at least they were as of a few months ago) – China and India – are not only heavily reliant upon coal for energy, but are still building more and more coal-fired plants.  Now I am making no comment on whether this is a good thing or a bad thing but the point is, it most definitely is a “thing.”

So however one feels about coal, the reality is that it is not going to go away anytime soon.  Does this mean it will “soar in value” anytime soon – or even ever for that matter?  Not necessarily.  But as an unloved commodity it’s sure is hard to beat coal.  And as “they” (they sure are a bunch of know it all’s they?) say, “opportunity is where you find it.” 

Ticker KOL is an ETF that invests in coal industry related companies.  And what a dog it has been.  Figure 1 displays a monthly chart of price action.  Since peaking in June 2008 at $60.80 a share, it now stands at a measly $6.29 a share, a cool -89.6% below its peak.  And like a lot of things it has been in a freefall of late.

Figure 1 – Ticker KOL Monthly chart (Courtesy AIQ TradingExpert)

So, is this a great time to buy KOL?  That’s not for me to say.  But for argument’s sake, Figure 2 displays a weekly chart of KOL with an indicator I call Vixfixaverageave (I know, I know), which is a version of an indicator developed a number of years ago by Larry Williams (Indicator code is at the end of the article).

Figure 2 – KOL weekly chart with Vixfixaverageave indicator (Courtesy AIQ TradingExpert)

Note that Vixfixaverageave is presently above 90 on the weekly chart.  This level has been reached twice before – once in 2008 and once in 2016.  Following these two previous instances, once the indicator actually peaked and ticked lower for one week, KOL enjoyed some pretty spectacular moves. 

To wit:

*Following the 12/19/08 Vixfixaverageave peak and reversal KOL advanced +252% over the next 27.5 months

*Following the 2/19/16 Vixfixaverageave peak and reversal KOL advanced +182% over the next 23.5 months

When will Vixfixaverageave peak and reverse on the weekly KOL chart?  There is no way to know.  One must just wait for it to happen.  And will it be time to buy KOL when this happens?  Again, that is not for me to say.  None of this is meant to imply that the bottom for KOL is an hand nor that a massive rally is imminent.

Still, if there is anything at all to contrarian investing, its hard to envision anything more contrarian that KOL.

Vixfixaverageave Calculations

hivalclose is hival([close],22).  <<<<<The high closing price in that last 22 periods

vixfix is (((hivalclose-[low])/hivalclose)*100)+50. <<<(highest closing price in last 22 periods minus current period low) divided by highest closing price in last 22 periods (then multiplied by 100 and 50 added to arrive at vixfix value)

vixfixaverage is Expavg(vixfix,3). <<< 3-period exponential average of vixfix

vixfixaverageave is Expavg(vixfixaverage,7). <<<7-period exponential average of vixfixaverage

Jay Kaeppel

Disclaimer: The information, opinions and ideas expressed herein are for informational and educational purposes only and are based on research conducted and presented solely by the author.  The information presented does not represent the views of the author only and does not constitute a complete description of any investment service.  In addition, nothing presented herein should be construed as investment advice, as an advertisement or offering of investment advisory services, or as an offer to sell or a solicitation to buy any security.  The data presented herein were obtained from various third-party sources.  While the data is believed to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  International investments are subject to additional risks such as currency fluctuations, political instability and the potential for illiquid markets.  Past performance is no guarantee of future results.  There is risk of loss in all trading.  Back tested performance does not represent actual performance and should not be interpreted as an indication of such performance.  Also, back tested performance results have certain inherent limitations and differs from actual performance because it is achieved with the benefit of hindsight.

Where We Are (and One Thing to Watch For)

commodities, educational newsletters, ETFS, indexes, jay kaeppel

I haven’t written a lot lately.  Mostly I guess because there doesn’t seem to be a lot new to say.  As you can see in Figure 1, the major market indexes are in an uptrend.  All 4 (Dow, S&P 500, Russell 2000 and Nasdaq 100) are above their respective 200-day MA’s and all but Russell 2000 have made new all-time highs.

Figure 1 – 4 Major Market Indexes (Courtesy AIQ TradingExpert)

As you can see in Figure 2, my market “bellwethers” are still slightly mixed.  Semiconductors are above their 200-day MA and have broken out to a new high, Transports and the Value Line Index (a broad measure of the stock market) are holding above their 200-day MA’s but are well off all-time highs, and the inverse VIX ETF ticker ZIV is in a downtrend (ideally it should trend higher with the overall stock market).

Figure 2 – Jay’s 4 Market “Bellwethers” (Courtesy AIQ TradingExpert)

As you can see in Figure 3, Gold, Bonds and the U.S. Dollar are still holding in uptrends above their respective 200-day MA’s (although all have backed off of recent highs) and crude oil is sort of “nowhere”.

Figure 3 – Gold, Bonds, U.S. Dollar and Crude Oil (Courtesy AIQ TradingExpert)

Like I said, nothing has really changed.  So, at this point the real battle is that age-old conundrum of “Patience versus Complacency”.  When the overall trend is clearly “Up” typically the best thing to do is essentially “nothing” (assuming you are already invested in the market).  At the same time, the danger of extrapolating the current “good times” ad infinitum into the future always lurks nearby. 

What we don’t want to see is:

*The major market averages breaking back down below their 200-day MA’s.

What we would like to see is:

*The Transports and the Value Line Index break out to new highs (this would be bullish confirmation rather the current potentially bearish divergence)

The Importance of New Highs in the Value Line Index

One development that would provide bullish confirmation for the stock market would be if the Value Line Geometric Index were to rally to a new 12-month high.  It tends to be a bullish sign when this index reaches a new 12-month high after not having done so for at least 12-months.

Figure 4 displays the cumulative growth for the index for all trading days within 18 months of the first 12-month new high after at least 12-months without one.

Figure 4 – Cumulative growth for Value Line Geometric Index within 18-months of a new 12-month high

Figure 5 displays the cumulative growth for the index for all other trading days.

Figure 5 – Cumulative growth for Value Line Geometric Index during all other trading days

In Figure 4 we see that a bullish development (the first 12-month new high in at least 12 months) is typically followed by more bullish developments. In Figure 5 we see that all other trading days essentially amount to nothing.

Figure 6 displays the Value Line Geometric Index with the relevant new highs highlighted.

Figure 6 – Value Line Geometric Index (Courtesy AIQ TradingExpert)

Summary

The trend at this very moment is “Up.”  So sit back, relax and enjoy the ride.  Just don’t ever forget that the ride WILL NOT last forever.  If the Value Line Geometric Index (and also the Russell 2000 and the Dow Transports) joins the party then history suggests the party will be extended.  If they don’t, the party may end sooner than expected.

So pay attention.

Jay Kaeppel

Disclaimer: The information, opinions and ideas expressed herein are for informational and educational purposes only and are based on research conducted and presented solely by the author.  The information presented does not represent the views of the author only and does not constitute a complete description of any investment service.  In addition, nothing presented herein should be construed as investment advice, as an advertisement or offering of investment advisory services, or as an offer to sell or a solicitation to buy any security.  The data presented herein were obtained from various third-party sources.  While the data is believed to be reliable, no representation is made as to, and no responsibility, warranty or liability is accepted for the accuracy or completeness of such information.  International investments are subject to additional risks such as currency fluctuations, political instability and the potential for illiquid markets.  Past performance is no guarantee of future results.  There is risk of loss in all trading.  Back tested performance does not represent actual performance and should not be interpreted as an indication of such performance.  Also, back tested performance results have certain inherent limitations and differs from actual performance because it is achieved with the benefit of hindsight.

A Simple Way To Trade Seasonality

back testing, commodities, EDS, seasonal, Stocks & Commodities traders tips


In “A Simple Way To Trade Seasonality” in the September 2019 Stocks & Commodities, author Perry Kaufman describes methods he uses for measuring the seasonality in markets and approaches he uses for trading these patterns

Editors note: The full article can be obtained from Stocks & Commodities magazine at
http://technical.traders.com/sub/sublog2.asp#Sep the system rules are from the article and are based on these rules

1. Average the monthly frequency of the past 4 years.

2. Find the last occurrence of the highest frequency and the last occurrence of the lowest frequency using the average frequency in step 1. That is, if both March and April have a frequency of 70, we use April.

3. Only trade if the high frequency is 75% or greater and the low frequency is 25% or lower.

4. If the high frequency comes first, sell short at the end of the month with the high frequency. Cover the short at the end of the month with the low frequency.

5. If the low frequency comes first, buy at the end of the month with the low frequency. Sell to exit at the end of the month with the high frequency

The importable AIQ EDS file and Excel spreadsheet for Perry Kaufman’s article can be obtained on request via email to info@TradersEdgeSystems.com. The code is also shown below

!A Simple Way to Trade Seasonality
!Author: Perry Kaufman, TASC September 2019
!Coded by: Richard Denning, 07/21/2019
!www.TradersEdgeSystem.com

C is [close].
year is 2019.
len is 4000.
OSD is offsettodate(month(),day(),year()).
FirstDate is firstdatadate().

EOM1 if Month()=2 and valresult(month(),1)=1 and year()=year.
EOMos1 is scanany(EOM1,len) then OSD+1.
EOMc1 is valresult(C,^EOMos1).
EOM2 if Month()=3 and valresult(month(),1)=2 and year()=year.
EOMos2 is scanany(EOM2,len) then OSD+1.
EOMc2 is valresult(C,^EOMos2).
EOM3 if Month()=4 and valresult(month(),1)=3 and year()=year.
EOMos3 is scanany(EOM3,len) then OSD+1.
EOMc3 is valresult(C,^EOMos3).
EOM4 if Month()=5 and valresult(month(),1)=4 and year()=year.
EOMos4 is scanany(EOM4,len) then OSD+1.
EOMc4 is valresult(C,^EOMos4).
EOM5 if Month()=6 and valresult(month(),1)=5 and year()=year.
EOMos5 is scanany(EOM5,len) then OSD+1.
EOMc5 is valresult(C,^EOMos5).
EOM6 if Month()=7 and valresult(month(),1)=6 and year()=year.
EOMos6 is scanany(EOM6,len) then OSD+1.
EOMc6 is valresult(C,^EOMos6).
EOM7 if Month()=8 and valresult(month(),1)=7 and year()=year.
EOMos7 is scanany(EOM7,len) then OSD+1.
EOMc7 is valresult(C,^EOMos7).
EOM8 if Month()=9 and valresult(month(),1)=8 and year()=year.
EOMos8 is scanany(EOM8,len) then OSD+1.
EOMc8 is valresult(C,^EOMos8).
EOM9 if Month()=10 and valresult(month(),1)=9 and year()=year.
EOMos9 is scanany(EOM9,len) then OSD+1.
EOMc9 is valresult(C,^EOMos9).
EOM10 if Month()=11 and valresult(month(),1)=10 and year()=year.
EOMos10 is scanany(EOM10,len) then OSD+1.
EOMc10 is valresult(C,^EOMos10).
EOM11 if Month()=12 and valresult(month(),1)=11 and year()=year.
EOMos11 is scanany(EOM11,len) then OSD+1.
EOMc11 is valresult(C,^EOMos11).
EOM12 if Month()=1 and valresult(month(),1)=12 and valresult(year(),1)=year.
EOMos12 is scanany(EOM12,len) then OSD+1.
EOMc12 is valresult(C,^EOMos12).
YEARavg is (EOMc1+EOMc2+EOMc3+EOMc4+EOMc5+EOMc6+EOMc7+EOMc8+EOMc9+EOMc10+EOMc11+EOMc12)/12.

AR1 is (EOMc1 / YEARavg-1)*100.
AR2 is (EOMc2 / YEARavg-1)*100.
AR3 is (EOMc3 / YEARavg-1)*100.
AR4 is (EOMc4 / YEARavg-1)*100.
AR5 is (EOMc5 / YEARavg-1)*100.
AR6 is (EOMc6 / YEARavg-1)*100.
AR7 is (EOMc7 / YEARavg-1)*100.
AR8 is (EOMc8 / YEARavg-1)*100.
AR9 is (EOMc9 / YEARavg-1)*100.
AR10 is (EOMc10 / YEARavg-1)*100.
AR11 is (EOMc11 / YEARavg-1)*100.
AR12 is (EOMc12 / YEARavg-1)*100.

EOMc if firstdate < makedate(1,20,2019-20).
AR if EOMc.

The EDS code is not a trading system but a way to get the data needed into an Excel spreadsheet to enable you to make the seasonal calculations. The EDS file should be run on a date after the end of the year being calculated. Each year for which data is needed must be run separately by setting the “year” variable. Multiple symbols can be run at the same time by using a list of the desired symbols. Each time a year is run, the “AR” report must be saved as a “.csv” file. Once all the years needed have been run and saved to separate “.csv” files, they all should be cut and pasted to a single Excel sheet. They then can be sorted by symbol and each symbol can be copied and pasted to a tab for that symbol.

Figure 6 shows the rolling four-year frequency for the S&P 500 ETF (SPY) and Figure 7 shows the annual trades resulting from applying the seasonal rules to the frequency data.

Sample Chart

FIGURE 6: AIQ. Shown here is the rolling four-year frequency for the SPY.

Sample Chart

FIGURE 7: AIQ. Shown here are the annual trades resulting from applying the seasonal rules to the frequency data for SPY.

—Richard Denning
info@TradersEdgeSystems.com
for AIQ Systems