Archive for the ‘technical analysis’ Category

Intermediate-Term Technical Condition of Domestic & Int’l Stocks and Bonds

Tuesday, November 29th, 2016

There is more to consider than technical condition of markets and securities, but combining technical condition information with fundamental and macro-economic information makes for better decisions.

Let’s look at the intermediate technical condition of US large-cap stocks; EAFE (DM ex US large-cap stocks) and EM stocks; as well as Aggregate US bonds, DM Dollar hedged investment grade bonds, and EM Dollar denominated sovereign bonds.

We used SPY, VEA, VWO, BND, BNDX and VWOB to represent those major categories in Figure 1.



The red/yellow/green color coded scales in Figure 1 rate each category as trending UP or DOWN or in Transition.  If the category is in Transition, a horizontal arrow shows the direction of the Transition from Up to Down, or from Down to Up.  If the price has crossed the primary trend line in a direction opposite of the trend direction, the rating is noted with an “X”.

Figure 2 presents the 4 essentially non-overlapping monthly factors in the QVM trend indicator, along with how they are scored and summed to an overall rating. The indicator is a price-only indicator, which does not consider distributions, which are part of total return.


(click images to enlarge)


There are 9 possible configurations of the 2-month leading edge of the Major Trend.  Figure 3 presents those 9 configurations graphically and how each is scored by the indicator.



We use a custom built program to plot a running rating for each security, which is shown in black in the top panel of Figure 4.

The middle panel in blue is ancillary information showing the distance of the price from the 12-month trailing high.

The main panel contains the 4 factors:  Major Trend in gold; Price in black, Buying Pressure in green; and Parabolic Pace in dotted red.




In a more compact way, and for easier comparison between charts, we also look at charts from that contain essentially the same, but not exactly the same data (see Figure 5) — the difference being that dividend adjustments made by StockCharts sometimes cause ratings to differ somewhat when the technical condition is close to a change.  Most of the time, for practical purposes, the StockCharts plots are sufficient.  The StockCharts plots, however, cannot calculate or display the actual rating.



Figure 6 shows the tabular output of our software showing how each of the 4 factors is rated, along with the overall trend rating, with some additional information (Buying Pressure level, distance of the price from the 12-month trailing high, and the position of the price within the 1-year high-low range).



It is important to note that value and technical condition are not always aligned.

Figure 7 shows the Shiller price to 10-year average inflation adjusted GAAP earnings (“CAPE” for cyclically adjusted P/E), as it relates to the long-term median of that valuation multiple; and the expected 10-year return based on a potential decade-long mean reversion.

Bottom line, US large-cap stocks are in the best current trend condition, and are the most expensive, with the lowest return if valuation revert to the mean over the next 10 years.  Non-US DM stocks and EM stocks are in poor trend condition, and are significantly less expensive, with substantially higher next decade returns in the event of valuation mean reversion (see Figure 7).

Note that US large-cap stocks and DM stocks have similar expected volatility, whereas EM stocks have much higher expected volatility.



A more graphical way to look at the relative valuation of US large-cap stocks versus DM and EM stocks is in Figure 8, which shows the extremes of CAPE valuation, the range where the valuation is most of the time (in green), and the current valuation (black dot).  US large-caps are very expensive by this measure, and DM and EM stocks are inexpensive.



Figure 9 calculates the percentage price change that would be required today for a full mean reversion.  It is unlikely to make such a sudden full jump, but the percentages are another good way to see the disparities in valuation; and the theoretical price gain potential (before consideration of various political, macroeconomic and other factors).  It also shows the Morningstar provided 3-5 year earnings growth expectations, and our calculation of the PEG ratios using Morningstar data.



Figure 10 provides the current QVM 4 factor trend ratings for the 10 sectors of the S&P 500.

Figure 10:



These data suggest that for those with a patient, long-term view, a little less US stock and a little more DM and EM stock should prove beneficial; BUT that requires accumulating assets that are in price decline, or maintaining an above average cash position to wait for DM and/or EM stocks to change to an intermediate up trend.  Even then EM stocks will provide a bumpy ride.

The cash holding to wait for a turn in DM or EM stocks is reasonable, because there is a distinct possibility (not necessarily probability) that US stocks could be in decline as DM and EM stock are ascending, in which case emotions may prevent the reallocation, or the gains and losses could substantially cancel each other.

All that is really being suggested here is rebalancing within the investment policy allocation range for each key asset type;, or using cash as in intermediary step between decumulation of one asset and accumulation of another based on trend evaluation.

Those near or in retirement need to make sure that in addition to any such long-term positioning, they maintain sufficient safe, liquid assets to be able to make withdrawals for a few years out of assets that do not fluctuate much in price, in the event of an extended or major market decline. The most vulnerable years are the 5 years leading to and 5 years after beginning to rely on the portfolio to support lifestyle.

In terms of sectors, the trend condition reports the obvious, which is that REITs, Consumer Staples, and Utilities are struggling with pending interest rate increases — and therefore should probably be kept at the minimum of the investment policy range for each portfolio until the trends recover.

The securities used in these trend evaluations were:

  • SPY – US large-cap
  • VEA – DM non-US stocks
  • VWO – EM stocks
  • BND – US aggregate inv. grade bonds
  • BNDX – DM Dollar hedged inv. grade bonds
  • VWOB – EM Dollar denominated sovereign bonds
  • XLB – basic materials
  • XLE – energy
  • XLF – financials
  • VNQ – REITs
  • XLI – industrials
  • XLK – information technology
  • XLP – consumer staples
  • XLU – utilities
  • XLV – health care
  • XLY – consumer discretionary

We will publish a similar review of country ETFs in a future article.


S&P 500: Where From Here? (2016-01-22)

Monday, January 25th, 2016

We have been getting calls, asking where the market is going. To be clear, nobody really knows. Markets can do anything – an they usually do. That said there are some technical tools to take reasonably educated guesses about what might happen in the short-term (excluding exogenous changes, such as central bank policy changes, or shocking macroeconomic statistic releases, or some terrible world event).

Fundamental projections are not any more useful in the short-term than technical indications. Fundamentals do determine where markets end up in the long-term, in the short-term emotions, funds flows and world events (and media hype) have a lot more to do with market behavior than fundamental valuation.

Adam Parker, founder of FundStrat, and former Chief Equity Strategist at Morgan Stanley recently had this to say about market price forecasting based on valuation.

“Trying to figure out where the market is going is like taking something we don’t know how to forecast (the price-to-earnings ratio for the market) and multiplying it by something we aren’t very good at forecasting (the earnings for the market). We have always written that we don’t think anyone can forecast the market level P/E ratio in time frames less than a few years.”


  • The primary trend for US stocks and the S&P 500 in particular is down
  • The rally last week was contra trend, but was likely not a reversal of the downward primary trend
  • The current S&P 500 price is far enough below its trend that there is a statistical probability of a contra trend rally to perhaps 1935
  • There are numerous fundamental and macro issues that are applying negative force to continue the downward primary trend
  • Internal breadth of the S&P 500 (as well as other major indexes around the world) is decidedly negative
  • Historical volatility over 1 year, 6 months and 3 months suggest a reasonably likely index price range over the next 3 months between 2250 and 1775
  • The downward path of the primary trend suggest the lower half of the 2250-1775 range is more likely to be realized
  • Fibonacci, Price Channel and Pivot Point indicators suggest the index price may experience resistance in 1935 to 1950 range, 1970 to 1975 and the 2015-to 2025 range


Investors in Accumulation Stage (averaging in): This short-term view of the primary trend is not relevant to most investors with a long time-horizon before retirement, who have chosen their appropriate risk profile, and who are continuing to add capital to their investment portfolio.  Those investors are probably best served by simply maintaining the allocation risk profile they have selected, and going about the business of earning money and saving as much as they can.

Since downturns don’t last forever, and periodic investments buy more shares during downtrend than in uptrends,  short-term trend information may be useful to those periodic investors who can squeeze their household budgets to increase periodic investments during downtrends.

Investors in Withdrawal Stage (averaging out): This short-term view of the primary trend is relevant for those who are in or near retirement who want to reduce the “risk of ruin” (outliving assets) due to  having to sell assets during a decline to fund withdrawals.  Note that retirement portfolios are depleted at an accelerated rate when selling assets during declines, increasing the risk of outliving assets.

For those investors in the withdrawal stage of their financial lives, a recent statement by Bill Gross (formerly CEO of PIMCO and noted bond manager) is relevant.  He said the current market is one for return OF capital more than one of return ON capital.

The risk of ruin is minimized for those investors in retirement who can live out of investment income without selling assets.  Dividend investors may have a lower risk of ruin if their dividend stocks have above inflation dividend growth rates, and thus they may have less interest in short-term trend changes.

Investors With a Desire or Need for a Tactical Overlay: Several sorts of investors occur to us to may find short-term trend information relevant:  (1) those withdrawal stage investors  relying on capital appreciation for a significant portion of their retirement income, (2) those accumulation stage investors who wish to increase periodic investments during downturns, (3) margin investors, (4) options investors, and (5) and other investors in any stage of their financial stage of life who prefer to engage in some form of tactical investing:

  1. Withdrawal stage investors who cannot live out of investment income alone (who must periodically sell assets to fund withdrawals) may wish to use trend information to modulate their debt / equity allocation between minimum and maximum investment policy levels to reduce risk of ruin
  2. Accumulation stage investors may wish to commit more money to regular periodic asset purchases when prices are declining than when rising to improve the average cost of their holdings.
  3. Long or short investors on margin, want to be in line with the short-term trend to avoid leveraged losses and margin calls
  4. Option investing/speculation is short-term in nature due to option expiration dates — they definitely need short-term trend information
  5. Some investors just have a desire to be tactical with a portion of their assets for one reason or the other; ranging from a gaming spirit to the need to sleep well at night.
If for any of these reasons, or mere curiosity, short-term stock market condition and direction is of interest to you, please read on.


The most important fundamental factor for most companies most of the time is the level and direction of profits. That picture for the S&P 500 is not good in the short-term past, and analysts have negative short-term expectations (although they expect 2016 overall to be a positive profits growth year).

These four charts illustrate the negative S&P 500 profits growth picture and the index price together. Each chart shows the price in vertical black bars; the moving average primary trend in gold; the quarterly GAAP reported profits in red; the earnings yield (inverse of the P/E) in the lower panel in black; and the dividend yield in the lower panel in green.

The upper left chart is for year-to-date. The upper right chart is for 3 months daily. The lower left chart is for 1 year weekly. The lower right chart is for 3 years monthly.

The charts show the gold primary trend line in decline and the price below the primary trend line. The 3-year chart, in particular, shows the downward turn in profits in 2015, and the corresponding flattening then decline in the stock index price.

(click images to enlarge)

2016-01-22 article 1

Operating earnings (equal to or less than GAAP earnings depending on various charges in GAAP reporting) is expected to be down in 2016 Q1, but then rise during the balance of the year as this FACTSET chart of quarterly operating profits shows:

2016-01-22 article 2

Revenue declined in 2015, but analysts expect it to revive in 2016 and 2017 – presumably in great part due to revival of oil and gas company profits (a major wild card).

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Profit margins have been squeezed, but are projected by analysts to revive after 2016 Q1, as this FACTSET chart shows:

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If you believe the analysts (take note of Adam Parker’s quote in the intro to the letter – then not much to worry about. If you focus on what is known and factual at the moment – then the picture is not very good.

Let’s keep these additional facts in the background too:

  • Global growth forecasts being lowered (still positive but lowered)
  • Fear of something nasty happening in Chinese markets
  • Europe struggling socially and financially with the flood of refugees from ISIS
  • Highly deteriorated internal breadth within the US stock indexes (narrow leadership with bulk of stocks in tough shape)


Technical analysis is viewed by many as hocus-pocus nonsense, and that may be true in theory, but the fact is that many people use and rely on technical indicators to make decisions.

The use of technical indicators by a significant group of investors makes them a force in the market, and therefore somewhat meaningful and relevant for short-term price behavior.

Certainly, technical indicators are not perfect or even close, but they do cause a significant amount of money to move in the market in response to them. Even if technical indicators have no theoretical basis, they can become self-fulfilling prophecies if enough investment money is moved on the basis of them.

Technical indicators should probably be looked at in combination and with the assumption that they will often be wrong, but if well used may be right more often than they are wrong – or may be wrong as often as right, but able to stem losses and let profits run.

A significant portion of professional money managers use a combination of fundamental and technical (as well as thematic) approaches to make decisions. When the two approaches are used together, the fundamentals tend to be how securities are selected (what to buy or sell), and technical indicators tend to be used to make judgements about when to buy or sell.

Technical indicators range from tools that are fairly easy to understand and that seem on the surface to be reasonable and logical and are widely used; to other tools that are very complicated, hard to understand and not widely used.

Getting back to the client question, “where is this market going?” Let’s look at a few technical indicators that are comparatively simple.

There are three really basic judgements you must make in the following order to use technical indicators beneficially:

  • FIRST: judge the direction of the primary trend
  • SECOND: judge whether the recent price behavior is in the direction of the trend (“pro trend”) or in the opposite direction of the trend (“contra trend”)
  • THIRD: judge the probability that the price position (whether moving with or against the trend) is high or low.

With those three opinions in mind, technically based decisions can begin to make some sense and possibly work out beneficially.


  • 10-week exponential moving average (solid red) = DOWN
  • 40-week exponential moving average (solid gold) = DOWN
  • 120-week exponential moving average (solid blue) = UP
  • 3-month linear regression direction (dashed red) = DOWN
  • 1-year linear regression direction (dashed gold) = DOWN
  • 3-year linear regression direction (dashed blue) = UP

2016-01-22 article 5

One could use shorter-periods, in fact day-traders probably use ticks, and minutes and hours; but for our purposes, we think 10-week and 3-month views are short enough; and the 40-week (equal to the 200-day average) and 1-year views are most important. We put in the 120-week and 3-year views to show that the current price is even below those long-term trend indicators.

We like the 40-week (200-day) and 1-year time-frame best for primary trend.

Our judgement is that the primary trend is currently DOWN.


  • The 63-day (3-month) moving average is below the 200-day moving average (primary trend indicator) – PRO TREND
  • The 21-day (1-month) moving average is below the 200-day moving average and the 63-day average – PRO TREND
  • The price is below the 21-day and 63-day moving averages – PRO TREND
  • The way the 63-day, 21-day and price are stacked reinforces the PRO TREND judgement

Remember, the primary trend is down, so pro trend is “pro down”.

2016-01-22 article 6


The upper panel of this chart plots price position measured in the number of standard deviations it is from the 200-day primary trend line. Zero, means the price is on the trend line. These are called “Z-scores” (see Z-Score graphic below the chart).

Z-Scores have these meanings:

  • Based on a normal distribution curve, the price has a 68% chance of being between -1 and +1 standard deviations (Z = -1 to +1), and only a 16% chance of being out side of that range on either side (about 6:1 odds that the price will revert back to within the 1 standard deviation range).
  • The price has only about a 2.5% chance of being outside of the +/- 2 standard deviation range (about 40:1 odds that it will revert back to within the 2 standard deviation range).
  • The price has only about 0.1% chance of being outside of the +/- 3 standard deviation range (about 1000:1 odds that it will revert back to the 3 standard deviation range)

In the upper Z-score panel in the chart below, the dashed red line is for Z=0 (price on the trend line). The two solid red lines are for the boundaries of the 2 standard deviation range (Z= +/-2). The solid black line is for the boundaries of the +/- 3 standard deviation range (the upper black line does not show because the price did not get to that level in the period studied).

The interpretation of this chart is that back in the August Correction, unless there was a material change in circumstances other than price, there was a statistical certainty of a rally.

The current price is 2.08 standard deviations below the primary trend line which suggests further rally is likely, BUT the primary trend is down. So while the rally would take the price higher it would be short-lived, because it is a Contra Trend move. The kinds of material changes in outside circumstances that could change the primary trend and take the rally to new heights might be something like Saudi Arabia reducing oil production or the Fed backing off of a March rate increase.

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2016-01-22 article 8


Major index internal breadth is badly deteriorated and getting worse, not just for US stocks, but also for foreign stocks. Let’s look as some S&P 500 internal breadth data for the S&P 500. After the wild up and down week last week, the needle did not move much on breadth.

  • Median S&P 500 stock off its trailing 1-year high by 20.68% (minimally improved) versus the S&P 500 index off by 10.76%
  • % of S&P 500 stocks in 10% Correction or worse 77.48% (versus 82.56% the prior week – some improvement, but 77% in Correction is not good)
  • % of S&P 500 stocks in 20% Bear or worse 51.12% ( versus 52.94% the prior week – minimally improved and not a good number)

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OK, let’s see what other tools might suggest for price targets and support and resistance levels given our three judgements:

  • Primary trend is down
  • Current rally is contra trend
  • Current price position relative to primary trend line indicates a higher probability of more transient contra trend rally than more pro trend decline (absent material external change in circumstances)

So what do some quantitative technical tools say about short-term price targets – specifically 3 months out?

This chart plots linear regression trend lines based on 1 year, 6 months and 3 months of history; and with a 3-month extension. Those trend lines intersect the price scale at 1975, 1985 and 1760 respectively.

The chart also plots “price probabiltiy ranges” (“probability cones”) out three months based on 1 year, 6 months and 3 months of history using historical volatility and a 70% probability. 70% probability is very close to the +/-1 standard deviations range we looked at in the Normal Distribution Curve above.

At the end of 3 months volatility-based price range projections (at 70% probability) we see prices between 2225 and 1795 based on 1 year history; 2250 to 1775 based on 6 months history; and 2045 to 1780 based on 3 months history. (see more about Linear Regression)

2016-01-22 article 12

Note that the probability cones are agnostic as to direction, but if we mentally apply the primary trend judgement, it makes sense to expect more action in the lower half of the probability ranges than in the upper half over the short-term.

Well, what about price levels that might possibly create some resistance in a rally?

This chart uses Fibonacci intervals to suggest price level and time periods where resistance might be expected if stocks behave in accordance with the Fibonacci pattern that is so common in life, and perhaps in financial markets (see these links for more about Fibonacci Arcs and Fibonacci Retracement).

Fibonacci tools plot distance between peaks and troughs that are divided into Fibonacci intervals, and some technicians believe that those intervals more often than not represent points where investors hesitate and create resistance on the way up and support on the way down.

The Fibonacci ARCs (blue) divide the vertical distance between peak and trough into Fibonacci intervals and then use those distances and the radius of the Arcs to suggest both price and date for resistance.

The Fibonacci Retracements (dashed red) simply divide the distance from peak to trough, but do not include a time element. One might argue that where the two tools intersect is a likely resistance point on the way up and support on the way down.

For better or worse those points are 1935 (38.2% retracement), 1975 (50% retracement – not a Fibonacci number, but a Dow Theory number) and 2015 (61.8% retracement) .

The peak was 2134 back in June 2015, and the trough was 1812 in January 2016.

2016-01-22 article 13

Another simple quantitative measure uses Price Channels (boundaries based on trailing high and low prices see more about Price Channels). Using the 63-day (3-month) and 21-day (1-month) Price Channels; and assuming that the mid-point of those channels are decision points for investors to be more Bullish or to hesitate, we see possible resistance at 1948 and 1968.

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Last, we might look at what are called Pivot Points, that predict possible support levels and possible resistance levels. explains the calculations nicely here:

  • First support level is 1800
  • Second support level is 1693
  • First resistance level is 2025
  • Second resistance level is 2145.

They call them Pivot Points, because those are possible prices where investors (or traders) collectively will likely turn on their heels and pivot to move back in the direction from which they came.

The resistance levels are labeled R1 and R2 on the chart; and the support levels are labeled S1 and S2 on the chart.

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Technical Trivia of Current Interest For S&P 500

Wednesday, November 11th, 2015

The first two noise cancelling charts show the short term resistance created by a double top in SPY and a triple top in the S&P 500 index itself.

One psycho-social explanation of the effect of double and triple tops is that some of those who bought there are in loss positions and are waiting for a chance to get out even.  As the price approaches the former top, they sell creating downward pressure until those weak hands are exhausted (the third chart helps visualize that phenomenon).

(click images to enlarge)

2015-11-11_SPY Renko