ETF HQ Report – Cashed Up With A Few Shorts

May 03, 2010 – 02:10 am ET

Last week I warned that “the risk over the short term should not be ignored despite the recent exceptional performance” and the last few days have been a clear indication as to why.  For several weeks now the risk/reward ratio has been slipping away from the bulls and is now not far from tipping into the bears favor.

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ETF % Change Comparison

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ETF % Change Comparison

SMH was the big loser for the week which is concerning because of the influence it has over the NASDAQ, while IYT made a new high on just Thursday.  From a longer term perspective is is good to see the Small caps (IWM) and the Transports (IYT) with the top performance ranks because they are both highly economically sensitive.

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What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

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A Look at the Charts

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SPY

Over the short term SPY is likely to encounter profit taking but it can suffer from some considerable weakness before breaking its long term bullish volume trend.  QQQQ will give a better indication of the true direction of the market moving forward.

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QQQQ

If QQQQ breaks its long term volume trend then it will be very difficult for the bull market to continue.  The next two weeks will be crucial as an indication of the bulls strength.

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SMH

I will be keeping a close eye on SMH’s volume trend for confirmation of direction moving forward but for now it remains bullish.

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IWM

If we see profit taking from here then it is inevitable that IWM will break its bullish volume trend.  If this break is confirmed by SMH also doing the same then you would be wise to become very defensive with your positions.

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IYT
It is difficult to have a negative view of the market over the longer term when the transports are performing so well and on such healthy volume.  Hopefully this is an indication that any profit taking will not evolve into a trend change.

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OM3 Weekly Indicator

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OM3 Indicator
The OM3 indicator has issued its first ‘Bear Alert’ in 11 weeks which is not surprising after a week of declines on a overbought market.

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How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

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TransDow & NasDow

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TransDow & NasDow
No change here, the Transports remain dominant over the Dow and the Dow remains dominant over the NASDAQ.

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What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

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LTMF 80 & Liquid Q

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LTMF 80 & Liquid Q

The LTMF 80 still has an active trade on QQQQ while Liquid Q remains in cash.

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Historical Stats:

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LTMF 80 & Liquid Q Stats

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How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

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Summary

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If IWM, SMH and QQQQ break their bullish volume trends then we are likely to see some significant profit taking.  In such case, depending on your investing time frame you would be wise to at least become very defensive with your positions.  The declines so far have not been enough to warrant bearish positions on the broad market but they have been enough to encourage me to cash up all my bullish positions and take a few select bearish trades.

It is always a good idea to keep an eye on market action and have a defined plan of attack for each possible scenario but over the next few weeks I urge you to be particularly attentive.

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Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

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Derry

And the Team @ ETF HQ

“Equipping you to win on Wall St so that you can reach your financial goals.”

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P.S We have been doing a lot of research recently on the performance of common technical indicators across a 16 global global markets going back to 1989.  Over the years I have found most of the popular indicators of little use and want to reveal which ones (if any) actually add value over a buy and hold approach.  I will be publishing the results so let me know if there is something you would like us to test.

P.P.S Like ETFHQ on Facebook – HERE

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The Devils Dictionary – L.

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Leverage – The act of turning your problem into our problem.  In theory, any gains from leverage are offset by a commensurate increase in risk.  In practice, this theory is ignored.

Liquidity – A vogue term which provides an aura of financial sophistication to its user, as in, “an excess of liquidity drove the market higher, today” or “a lack of liquidity drove the market lower, today.”

Loser’s Game – The recognition that investors, in aggregate, are engaged in a zero-sum game – one person’s gains are equal to another’s losses, less the cost of transactions.  Those who make fewest mistakes and have the lowest management expenses end up winning the loser’s game.  The irrefutable consequence of this finding is that institutional funds should be largely invested in low-cost index funds.  It is a tribute to the marketing power of the Wall Street that this isn’t the case.

Lucky Fool – A person who owes his success to luck rather than skill, but is unaware of the fact.  As it takes several decades of performance data for statisticians to distinguish luck from skill in the investment game, the number of lucky fools on Wall Street must always remain indeterminate.

ETF HQ Report – Underestimated

April 26, 2010 – 08:45 am ET

Well I was simply wrong about the markets ability to see new highs so soon and that is all there is to it.  I underestimated the strength of the rally and was very surprised to see things moving higher with such vigor over the last week.  Short term weakness has been a likely outcome for a while now but the market has refused to see anything of the sort.  This is very frustrating for those still sitting on the sidelines and pleasantly surprising for those of us reaping the benefits.

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ETF % Change Comparison

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ETF % Change Comparison

As you can see all of the influential ETFs except SMH are sitting at new peaks.  SMH was the worst performer over the last week but the best over the last two weeks.  It is nice to see IWM, IYT, SMH and QQQQ with the highest performance ranks as this shows the more economically sensitive areas of the market are leading it higher.

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What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

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A Look at the Charts

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SPY

The RSI remains bearish on SPY but all other indications are strong particularly over the longer term.

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QQQQ

You have to go back to the 90s before you find rallies that look like this one.  Volume flows are strong but new short term bullish trades are just too risky.

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SMH

I will be keeping a close eye on SMHs ability to maintain its volume trend and bullish RSI but for now all signs are positive.

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IWM

This rally just takes your breath away, it is easy to make money when the market is behaving like this.  As with SMH I will be keeping a close eye on IWMs volume trend and RSI.  The fun will be over eventually.

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IYT
IYT continues to confirm the strength of the bull market and has very strong volume flows.

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OM3 Weekly Indicator

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OM3 Indicator
All indications remain bullish here but these buy signals have been active for two months now which makes them statistically old.

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How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

.

1

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TransDow & NasDow

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TransDow and NasDow
The Transports remain dominant over the Dow and have doubled the Dow’s returns during the last 56 days.  The Dow is dominant over the NASDAQ and has about matched the performance of the NASDAQ over the last 42 days.

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What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

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LTMF 80 & Liquid Q

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LTMF 80’s trade on QQQQ remains open and is showing a return of almost 20% while Liquid Q remains in cash.

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Historical Stats:

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LTMF 80 & Liquid Q Stats

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How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

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Summary

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The longer this rally defies gravity the more impatient, emotional people are going to jump on board and ultimately this will lead to a sharper and more painful pull back.  There are currently no bearish indications long term but the risk over the short term should not be ignored despite the recent exceptional performance.  Be decisive and only take action when you have probability on your side.

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Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

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Derry

And the Team @ ETF HQ

“Equipping you to win on Wall St so that you can reach your financial goals.”

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P.S Thanks to those who shared their thoughts on the Goldman Sachs ‘fraud’.  Bill Fleckenstein wrote an exceptional article called Goldman-deal gamblers knew the score.  He makes some great points including:

  • “Among professionals, the fact that somebody else has a different opinion usually isn’t enough to change one’s viewpoint.”
  • “Let’s say the housing market hadn’t melted down… can you imagine the SEC today suing Goldman Sachs because it hadn’t disclosed to Paulson that the buyers had picked some of the securities?”
  • “If the SEC really wants to get at the culprits of this deal, it ought to go after the ratings agencies, as should Congress.”
  • “The SEC also ought to consider pursuing the Financial Accounting Standards Board for helping denigrate accounting standards to the point that so much smoke and mirrors could pass for legitimacy.”

Rating Agency Data Aided Wall Street in Deals – Another article worth reading that explains how rubbish investments achieved such high ratings.  It turns out that banks were given the ‘secret formulas’ by the rating agencies so they could start with the answer and work backwards, reverse-engineering their investments for a top rating.

P.S.S Like ETFHQ on Facebook – HERE

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The Devils Dictionary – I.

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Initial Public Offering – An exit route for alternative investment managers who expect the jig is up.

Insider Trading – Just good research.

Institutional Investor – Investor who’s now locked up in a nuthouse.

Investment Bankers – Financiers who find clever and original ways to put their own interests before those of their clients.

Investment Banks – Wall Street firms that find clever and original ways to bring the financial system to the brink.

ETF HQ Report – Spooked the Complacent

April 19, 2010 – 12:05 pm ET

Dear Investor,

Sorry, we are running late today due to a data feed problem but all is back up and running now (touch wood).  Living at this end of the world that means staying up all night… you are welcome 😉

Over the last week there were some very interesting developments:

The first one was Intel reporting its net income in the first quarter had nearly quadrupled from 2009 and that the big jump in spending had predominantly come from companies, not individuals.  When businesses are experiencing improved conditions and anticipating growth they must invest in new technology to capitalize on it.  This investment takes time to produce a return but because semiconductors are at the front of the business cycle they are the first ones to benefit.  That is why the news not only lifted Intel (INTC) but gave the entire market a significant boost.  If you have ever doubted the influence that semiconductors have over the market then doubt no more.

The 2nd major development was Goldman Sachs getting charged with fraud.  The SEC alleges that Goldman marketed CDOs that hinged on the performance of subprime mortgage-backed securities and failed to disclose to investors that hedge fund Paulson & Co. was betting against the same CDOs and influenced the selection of securities for the portfolio.  While this does sound morally questionable is it really fraud?

Lets say I ran a hedge fund and was bearish on the Passion Fruit Industry.  I could go out and help an institution put together a security for me to sell short.  If my research and timing was correct then I would profit but there is also the risk of being wrong in which case I would take a loss.  The institution what helped create the security is simply making a market, finding buyers and sellers.  The opinion of those who influenced the portfolio selection is irrelevant because if investors do their own research and don’t like a security then surely they won’t risk their money in it?  When Warren Buffett sold 4.5 billion dollars worth of put options should the buyers have been informed who the counterparty was?

If anyone committed fraud then what about the rating agencies?  The CDOs in question were class A-1 notes rated AAA by S&P and Aaa by Moody.  Let me know what you think.  Assuming the allegations are true did Goldman commit fraud or is this just an example of the heartless reality of capitalism?

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ETF % Change Comparison

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ETF % Change Comparison
Last week I warned that “When risk levels are perceived to be low the market is more easily spooked and this tends to lead to sharper and more severe reversals.”  Most of the gains for the week were on the back of the INTC news while on Friday the SEC charge spooked a complacent and overbought market causing it to sell off heavily as you can see by the ‘% from peak’ numbers.

What is great to see is that for the week SPY and DIA lagged behind while SMH and ITY advanced 5.85% and 3.22% respectively.  This is not the type of behavior that you tend to see at major market reversals.  This is how a bull market behaves.

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What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

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A Look at the Charts

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SPY

SPY actually dropped 1.59% on Friday and further profit taking over the short term is likely.

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QQQQ

It won’t actually take much for QQQQ to break its bullish volume trend.  But if that happens then it will need to be confirmed by a loss of support and failure in other areas of the market particularly the semiconductors.

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SMH

For months SMH has been one of the holes in the long term bullish argument but suddenly it is showing life again.  If we see profit taking over the next few weeks but SMH can hold onto $29 and maintain its bullish volume trend this will indicate the market is very strong.

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IWM

What goes up must come down and profit taking on the small caps is highly likely.

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IYT
The transports continue to receive impressive volume, a very good sign long term.

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OM3 Weekly Indicator

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OM3 Indicator
No signs of weakness here.

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How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

.

1

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TransDow & NasDow

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The Transports remains dominant over the Dow and have doubled the Dow’s return over the last 49 days with 12.36% vz 6.72%.

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What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

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LTMF 80 & Liquid Q

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LTMF 80 and Liquid Q

The LTMF 80 remains on a buy signal for QQQQ after 210 days.  Liquid Q has no signal.

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Historical Stats:

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LTMF 80 & Liquid Q Stats

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How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

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Summary

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New strength seen from the semiconductors is very bullish and long term indications remain positive.  However over the short term I would be very surprised to see new highs and tangible profit taking is highly likely.

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Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

.

Derry

And the Team @ ETF HQ

“Equipping you to win on Wall St so that you can reach your financial goals.”

.

P.S Thanks to the 20 people who shared our article on Herd Mentality around Facebook

P.P.S Become a fan of ETFHQ on Facebook – HERE

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Breaking NEWS

Bank Run in Switzerland

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The bank run in Switzerland last week was kept mostly secret from the worlds media but this exclusive footage was captured from my brother in-laws iPhone.  Some are saying that it was actually very bullish behavior – VIDEO

ETF HQ Report – Gravy Train Has Gone

April 12, 2010 – 02:45 am ET

Dear Investor,

Thanks for your recent questions and complements.  It is nice to hear that you are enjoying our reports.  Please spread the word so that the community of readers can grow and also please direct your questions to the comments section so that others can benefit.

In the last report we said “longer term indications remain positive making bearish positions risky”.  Since then we have seen a great example of why it is so important to trade in the direction of the prevailing volume trend.  For the last few weeks we have been anticipating short term weakness and did see a slow down for a period.  But, bit by bit the market has been moving higher and in the last few days it has done so with more vigor.

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ETF % Change Comparison

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ETF % Change Comparison
IWM (Russell 2000 small cap) and IYT (Dow Transportation Index) were the top performers over the last week while SPY and DIA lagged behind.  Having the comparatively economically sensitive IWM and IYT leading is good to see.

All of the ETFs we track made new highs this week apart from SMH which continues to be a drag on the market.  It finished up 1.65% but all of the gains were achieved on Monday and have dwindled ever since.  The broad market in comparison gained strength throughout the week and into Fridays close.  The NASDAQ can’t get far without support from the Semiconductors and the market can’t get far without the NASDAQ so continue to keep a close eye on how this develops.

.

What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

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1

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A Look at the Charts

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SPY

It looks like SPY has moved into part 2 of the rally that began in mid Feb.  This stage of a rally is usually violent and unpredictable so opening new short term positions is too risky.

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QQQQ

QQQQ has been performing well on strong volume.  Enjoy it while it lasts but if you are not already in the market then now is a time for patience.

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SMH

$VXN (CBOE NASDAQ 100 Voltility Index) moved to its lowest level since July 2007 this week.  $VXN is a measure of how much ‘time’ is selling for on NASDAQ 100 options and is a function of the risk traders perceive to be present.

When risk levels are perceived to be low the market is more easily spooked and this tends to lead to sharper and more severe reversals.  Because $VXN is so low and SMH is under performing on bearish volume it is important to remain cautions.

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IWM

IWM has also had weak volume recently.  It will be important for the small caps to continue to perform well if SMH is not going to provide leadership to the broad market.

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IYT
Unlike, SPY, SMH and IWM, the Transports (IYT) have had solid volume flows over the last few weeks.  This is an excellent sign for the long term health of the broad market.

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1

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OM3 Weekly Indicator

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OM3 Indicator
No signs of weakness here but the average ‘Stong Buy’ signal lasts for 6 weeks so these ones are getting statistically old.

.

How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

.

1

.

TransDow & NasDow

.
Transdow and Nasdow
The Dow Transportation index remains dominant over the Dow and has significantly out performed it over that time.  The Dow remains dominant over the NASDAQ.

.

What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

.

1

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LTMF 80 & Liquid Q

.

LTMF 80 and Liquid Q

Liquid Q remains in cash while the LTMF 80 trade remains open and is enjoying a nice profit of 15.53%.

.

Historical Stats:

.

LTMF 80 & Liquid Q Stats

.

How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

.

1

.

Summary

.

When there is a lot of momentum behind a mature rally those that have been sitting on the sidelines waiting for a pull back start to jump in as their fear of loss is replaced with a fear of missing out.  This 2nd wind can create some impressive gains but usually on light volume and when it ends it tends to end in tears.

So far, several of the ETFs we track have started to float on light volume but QQQQ and IYT both continue to experience strong volume.  Long term indications remain healthy but the short term outcome during times like these is very unpredictable.

We turned bullish in our February 22 report so hopefully you have been on the gravy train with us and continue to enjoy the ride (while it lasts).  However if you are still sitting on the sidelines then now is not the time to enter the market, there is simply to much uncertainty and risk over the short term.

.

Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

.

Derry

And the Team @ ETF HQ

“Equipping you to win on Wall St so that you can reach your financial goals”

.

P.S If you get value from these newsletters then please spread the word, we grow primarily through word of mouth. Please direct people to ETFHQ.com to subscribe.

P.P.S Become a fan of ETFHQ on Facebook – HERE

.

1

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The Devils Dictionary – H

.

Hedge – A line of closely grouped shrubberies; a clever way of adding correlation and volatility risk to one’s portfolio.

Hedge Fund – A lucrative compensation scheme for professional investors, who get to charge roughly 10 times as much as traditional money managers while generating, in aggregate, similar returns.  See Loser’s Game.

House – 1. An abode; an investment.  2. A building constructed on weak financial foundations.  Formerly an asset, now a liability.  See Delinquencies.

ETF HQ Report – Subtle Developments

April 05, 2010 – 02:07 am ET

.

It was another uneventful week but there have been a few subtle developments; some support has been established, Easter has been celebrated, April has been fooled and there has been a slight shift in leadership.

.

ETF % Change Comparison

.

ETF % Change Comparison
Last week ended with SPY and DIA at new highs.  This is positive apart from the fact that it is better to see the more economically sensitive ETFs leading the market higher.  Instead we see SMH 2.41% off the high it reached 9 days ago and IYT 1.06% off the high it reached 14 days ago.  This is only a subtle change and not cause for concern but it is different from what we have been seeing for the last two months where typically QQQQ, IWM and IYT have been leading.  It appears as though the market is becoming more cautions which makes short term profit taking more likely.

.

What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

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1

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A Look at the Charts

.

SPY

While SPY has had little momentum over the last three weeks it is impressive to see it inching higher bit by bit.  This consolidation has ended the overbought situation and made it easier to start another bullish leg but profit taking is more likely over the short term.

.

QQQQ

QQQQ could go either way from here but there is nothing to suggest problems with the longer term bullish trend.

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SMH

For the broad market to move higher from here in any meaningful way SMH will have to fuel the rally.  Currently that looks unlikely.

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IWM

From IWM I will be looking for OBV to break out of its triangle accompanied by a loss of or maintenance of support @ $67.50.  This will provide a good indication of market direction over the short term.

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IYT
Volume from IYT is looking good and the slowdown over the last few weeks has been healthy.

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1

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OM3 Weekly Indicator

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OM3 Weekly Indicator
All signals remain bullish here.

.

How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

.

1

.

TransDow & NasDow

.
TransDow & NasDow
The Dow Transportation Index remains dominant over the Dow and has advanced 6.24% over the last 34 days compared to just 5.83% for the Dow during that time.  Conversely the Dow remains dominant over the NASDAQ, advancing 2.85% while dominant compared to just 1.47% for the NASDAQ.

.

What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

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1

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LTMF 80 & Liquid Q

.

LTMF 80 & Liquid Q

On Thursday Liquid Q closed the position in QQQQ for a 12.55% profit over 62 days.  The signal remains open for LTMF 80.

.

Historical Stats:

.

LTMF 80 & Liquid Q Stats

.

How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

.

1

.

Summary

.

The consolidation over the last few weeks will make it easier for the market to start another leg higher.  However for that to happen with any sort of enthusiasm then SMH will need to be driving the market higher.  Judging by the current volume flows of the semiconductors that is unlikely.  Over the longer term indications remain positive making bearish positions risky.  Any profit taking should be seen as a buying opportunity.

.

Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

.

Derry

And the Team @ ETF HQ

.

P.S If you get value from these newsletters then please spread the word, we grow primarily through word of mouth.  Please direct people to ETFHQ.com to subscribe.

P.P.S Become a fan of ETFHQ on Facebook – HERE

.

1

.

The Devils Dictionary – G

.

GAAP – Generally Accepted Accounting Principles (as opposed to Specifically Accepted Accounting Principles which right there shouts out “Houston, we’ve got a problem!”) GAAP is intended to create consistency in financial reporting for pubic and private companies.  Its vast inconsistencies with regulatory accounting and the IRS tax code is the primary source of investment banking revenues as bankers routinely attempt to exploit, circumvent or create small meaningless yet terribly complex discrepancies that result in arbitrage opportunities of epic proportions. Interestingly the U.S Government itself refuses to adopt GAAP standards and furthermore refuses to issue any useful financial reporting that would tell us how broke we really are.  The main argument for refusing to adopt GAAP standards is that it would require extensive use of scientific notation due to the incomprehensibly large numbers involved.  GAAP has taken on a new culturally significant meaning lately as in the GAAP between the truth and what is really going on.

Greater Fools – Wall Street’s ever expanding clientele.

Green Shoots – 1. The first signs of spring, often clobbered by summer’s heat and autumn’s rain.  2. A sign the economy is falling apart more slowly than previously thought.  Related: Daisies, Pushing Up.  See also Thinking, Wishful.

ETF HQ Report – Uneventful

March 29, 2010 – 08:35 am ET

The strong advance by the market on Monday and Tuesday took me by surprise and the fact that it was lead by the Semiconductors looked very positive.  But by the end of the week most of the gains had been returned.

Really it was a rather uneventful week but without many distractions I have added some new blog posts to elaborate on the philosophies used in these reports.  I hope you find them useful.

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ETF % Change Comparison

.

ETF % Change Comparison
SMH was the top performer again over the last week and finally closed above its January high on Tuesday although only just.  IYT (Dow Transportation ETF) on the other hand peaked last Thursday and was the only one of the influential ETFs to finish the week lower.

.

What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

.

1

.

A Look at the Charts

.

SPY

Short term weakness continues to be the most likely outcome from SPY although we have now established a base from which the next leg could be launched.

.

QQQQ

If QQQQ is to continue moving higher in any meaningful way then SMH will have to rally strongly.  Short term weakness is more likely however.

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SMH

I am surprised that SMH has done so well over the last two weeks but the lack of volume behind the move is not a good sign.

.

IWM

IWM has had enough consolidation to start another bullish leg but that would require a strong rally from SMH.

.

IYT
Like much of the market ITY continues to indicate short term weakness.

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1

.

OM3 Weekly Indicator

.

OM3 Weekly Indicator
All signals are positive here although IWM has been on a strong buy signal for the last 7 weeks while the average signal lasts for only 6 weeks.

.

How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

.

1

.

TransDow & NasDow

.
Transdow and Nasdow
The Dow Transportation Index remains dominant over the Dow while the Dow remains dominant over the NASDAQ.  It would be better to see the NASDAQ regain dominance.

.

What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

.

1

.

LTMF 80 & Liquid Q

.

LTMF 80 & Liquid Q

Both LTMF 80 and Liquid Q remain on buy signals for QQQQ.  Internal readings from Liquid Q have weakened and it would not take much to trigger a sell signal.

.

Historical Stats:

.

LTMF 80 & Liquid Q Stats

.

How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

.

1

.

Summary

.

Over the last two weeks the market has seen enough consolidation to start a new leg higher.  But for that to happen SMH would have to be the one leading the market.  The more likely outcome is further weakness over the short term.  There are currently no indications that anything more sinister is brewing so any declines should be seen as buying opportunities.

.

Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

.

Derry

And the Team @ ETF HQ

.

P.S Thank you for sharing this newsletter, we grow primarily through word of mouth. Please direct people to ETFHQ.com to subscribe.

P.P.S Become a fan of ETFHQ on Facebook – HERE

.

1

.

The Devils Dictionary – F

.

Fees – The raison d’etre of Wall Street.  The means by which wealth is transferred from its owners to those entrusted to manage it.  See investment banks, private equity, hedge funds, rating agencies, money managers, etc.

Financial Engineering – Whereas conventional engineering seeks to take weak structures and make them solid, financial engineering aims at the opposite.

Fitch – What you say to your dog after you throw the bone of the last steak your family will eat for the foreseeable future.

The Dow Theory

Charles Henry DowThere are very few writings on technical analysis that have stood the test of time and truly deserve respect but the Dow Theory is unquestionably one of them.

Charles Dow was one of the true Pioneers of Technical Analysis; he even created the first stock index; The Dow Jones Industrial Average.  In 1899 he published a series of editorials in the ‘Wall St Journal’ (which he also founded).  These editorials became the basis of his now famous Dow Theory.  Although many people today use his theory as the basis for market timing it was originally intended as a way to measure general business trends.

.

The Dow Theory consists of 6 parts

.

  1. The Market Discounts Everything
    .
    The market represents the most democratic indication of stock value.  The price of a stock in a free, competitive market reflects all that is known, believed, surmised, hoped, or feared and therefore it combines the attitudes and opinions of all..
  2. The Market Has Three Trends
    ..

    • The Primary Trend can be either Bullish or Bearish and tends to last from 1 to several years.  Manipulation of the primary trend is not possible.
      .
    • Secondary Trends are short corrections to the Primary Trend.  They tend to last 1 – 3 months and retrace 1/3 – 2/3 of the last movement of the Primary Trend.
      .
    • Minor Trends can last from a day to several weeks.  At this time frame the market is subject to manipulation and can be misleading.
      .
      .
      Dow Theory Trends
      .
  3. Primary Trends Have Three Phases
    .

    • Phase A is started by the Value Investors and the ‘Smart Money’ who begin to aggressively acquire stocks because their fundamental analysis indicates that the market is trading at a deep discount.  This buying absorbs any excess supply and the bottom of the market is established.  Even if the economy is still in bad shape, it is not as bad as stock prices would suggest so in the foreseeable future higher prices are inevitable..
      .
    • Phase B – The sentiment during this period is of extreme pessimism – “The sky is falling and we are all doomed”.  The Smart Money is like a kid in a candy store picking up exceptional companies at bargain prices (often below their intrinsic value).  Slowly earnings increase and good news becomes the norm.  The General Public is very cautious but begins to accumulate stock under the improving conditions.
      .
    • Phase C – Is recognized by record earnings and perfect economic conditions.  The general public (with a short memory for how they lost it all last time) starts taking investment advice from their Taxi Driver who just made killing off the latest IPO.  Everyone (the general public) is certain that the market is headed for the Moon.  This escalates into a buying frenzy; pushing prices to dizzying heights.  Such lofty valuations cause the Smart Money to begin moving their money into safer areas in anticipation of the inevitable correction.
      .
      “Be fearful when others are greedy and to be greedy only when others are fearful.” – Warren Buffett
      .
      .
      Dow Theory Phases
      .
  4. The Averages Must Confirm Each Other
    .
    Dow utilized two averages in his analysis; The Industrial Average and The Railroad Average (Now the Dow Transportation Index).In 1900 America was deep into the second Industrial Revolution which ran from about 1870 to 1914.  During that time Railroads were of supreme importance to the increase of trade throughout the US.  James Watt had recently improved the steam engine making it a viable piece of machinery.

    Steam locomotives allowed for quicker transportation of raw materials that could be used to produce finished goods and the transcontinental railroad was completed in 1869.  The US suddenly had a quick passage from east to west.  A journey that used to be a 4 – 6 month trek could now be accomplished by train in just six days!

    According to Dow’s Theory, a bull market in Industrials could not occur unless the Railroad Average rallied as well.  This logic is very sound; railroad companies can only prosper when the economy is flourishing and increasing quantities of goods are being transported.  If the Railroad stocks are struggling then manufactures must be producing less.  This made Railroad stocks extremely economically sensitive.

    Dow created the Industrial Average to be like a measure of the tide on one part of the beach, and the Railroad Average was a measure on another part.  Used in conjunction they helped to determine that the tide was indeed coming in or going out all along the seashore, rather that being tricked by rogue waves on one part of the beach.

    Dow observed that both averages must make higher highs to confirm a bull market and vice versa.  When the performance of the two averages diverged he saw it as an indication that there was a change in the tide.
    .

    Averages Must Confirm The Trend.

  5. Volume Confirms The Trend.
    .
    Dow noted that volume should expand in the direction of the trend.  Stronger volume should be seen on the days that the market is up in a bull market and down in a bear market.

    .
    Volume Confirms The Trend
    .
  6. The Trend Remains Intact Until A Confirmed Reversal
    .
    A bullish trend can be described as consecutive higher highs and higher lows.  To change to a bearish trend it is necessary to have at least one lower high and a lower low.  This trend change must then be confirmed by the Transportation Index to have the greatest chance of continuing.
    .

    Confirmed Trend Change
    .

A Dow Theory For The Information Age

.

This is a theory written over 100 years ago before anyone had even heard of technical analysis, during a time before computers and charting software.  It makes my head spin to think that Dow would have had to do all his charting by hand and if he was lucky he may have had the help of crude calculator the size of a suitcase.  Yet it is amazing how timeless the principles he wrote about were and how valid they remain today.  An understanding of these simple concepts is an invaluable foundation to effective technical analysis.

Apart from the way that Dow confirmed a trend reversal I agree with every aspect of his theory but the major difference today is that we have moved out of the Industrial Age and into the Information Age.

The invention of the micro processor making PCs affordable for the masses can be likened to James Watts improved steam engine making mass rail transportation a viable option.  The way that the Internet opened up the global economy can be likened to how the transcontinental railroad in 1869 opened up ease of trade between the east and west of the US.

The Information Age has created a smaller, more integrated world where we already have the ability to work as a unit in real time.  Communication, trade, employment, personal and commercial transactions are now occurring on a global scale.  Largely, international and regional boundaries are being ignored; capital now flows far more freely between countries.

Profits in the Industrial Age came from economies of scale; factories and assembly lines.  Now profits come from speed of innovation and the ability to attract and keep customers.  In the new economy information is often the currency and the product.

In 1901 the biggest company in the world was U.S Steel with a market cap of approximately 35 billion in today’s dollars.  Now, we have companies like Google that provide an electronic information service with no physical product.  In November 2010 Google had a market cap of over 200 billion, six times that of U.S Steel in 1901.

Technology is at the forefront of the business cycle and semiconductors are at the forefront of technological advancement.  All expansion requires semiconductors and any slowdown causes an expensive build up in inventory.  Inventory that has a very short shelf life causing the Semis to feel the burn as soon as the business cycle begins to slow (a huge build up of inventory was seen leading up to the Tec bubble in 2000).

Semiconductors are the Railroads of the Information Age and are extremely economically sensitive.  For this reason they play an integral part in identifying the markets true direction and why I use them along with the Transportation Index in a process I call ‘Holistic Market Analysis’.  This is the process that I go through in the weekly ETF HQ Report (Subscribe Here For Free).

Essentially the Dow Theory looks for confirmation of the broad market trend from an economically sensitive industry at the front of the business cycle.  Both Transportation and Semiconductors fit that criteria for now but perhaps in the future new Industries will evolve and take the lead.

Are you a believer in the Dow Theory? Have you had success or otherwise using it?  What are some other industries that lead the business cycle?  Share your thoughts in the comments section below.

The Dow Theory

There are very few writings on technical analysis that have stood the test of time and truly deserve respect but the Dow Theory is unquestionably one of them.

Charles Dow was one of the true Pioneers of Technical Analysis; he even created the Dow Jones Industrial Average, the worlds first Stock Index.  In 1899 he wrote a series of editorials that that became the basis of his now famous Dow Theory in a paper he founded, called ‘The Wall Street Journal’.  The articles were written with the intention of sharing a theory for measuring general business trends not for use as a market timing system.

The Dow Theory consists of 6 parts:

1.    The market discounts everything

•    The market represents the most democratic indication of stock value.  The action of a stock in a free, competitive market reflects all that is known, believed, surmised, hoped, or feared and therefore it combines the attitudes and opinions of all.

2.    The Market has three trends

•    The Primary Trend can be either Bullish or Bearish and tends to last from 1 to several years.  Manipulation of the primary trend is not possible.

•    Secondary trends are short corrections to the Primary Trend.  They tend to last 1 – 3 months and retrace 1/3 – 2/3 of the last movement of the Primary Trend.

•    Minor Trends can last from a day to several weeks.  At this time frame the market is subject to manipulation and can be misleading.

3.    Primary Trends have three Phases

A.    Phase – is started by the Value Investors.  The ‘Smart Money’ begins to aggressively acquire stocks due to their fundamental analysis telling them that the market is trading at a deep discount.  This buying absorbs any excess supply and the bottom of the market is established.  Even if the economy is bad, it is not as bad as stock prices would suggest and in time the only possible direction is up.

Be fearful when others are greedy and to be greedy only when others are fearful.

– Warren Buffett

B.    Phase – The sentiment during this period is of extreme pessimism – “The sky is falling and we are all doomed”.   The Smart Money is like a kid in a candy store picking up exceptional companies at bargain prices, often below their intrinsic value. Slowly earnings increase and good news becomes the norm.  The General Public is very cautious but begins to accumulate stock under the improving conditions.

C.    Phase C can be recognised by record earnings and perfect economic conditions.  The general public (with a short memory about how they lost it all last time) starts taking investment advice from their Taxi Driver who just made killing off the latest IPO.  Everyone (the general public) is absolutely certain that the market is headed for the Moon.

This escalates into a buying frenzy and dizzying valuations.  This alerts the Smart Money to begin moving their money to safer areas in anticipation of the inevitable bursting of the bubble.

Above is a Chart of the Dow Jones Industrial average leading up to the 87 crash with each of the three phases identified.

4.    The Averages Must Confirm each other

•    Charles Dow utilised two averages in his analysis; The Industrial Average and The Railroad Average (Now the Dow Transportation Index).

In 1900 America was deep into the second Industrial Revolution which ran from about 1870 to 1914.  During this time railroads were of supreme importance to the increase of trade throughout the US.  James Watt improved on the steam engine making it a viable piece of machinery in the second half of the 18th century.  This development helped start the Industrial Revolution.

Steam locomotives allowed for quicker transportation of raw materials that could be used to produce finished goods.  The transcontinental railroad was completed in 1869 and the US suddenly had a quick passage from east to west.  A journey that used to be a 4 – 6 month trek could now be accomplished in just six days!

According to Dow’s Theory, a bull market in industrials could not occur unless the railway average rallied as well.  This logic is very sound; railroad companies can only prosper when the economy is flourishing and increasing quantities of goods are being transported.  If the rail road stocks are struggling then manufactures must be producing less.  This made rail road stocks extremely economically sensitive.

Dow created the Industrial Average to be like a measure of the tide on one part of the beach, and the Railroad Average was a measure on another part.  Used in conjunction they helped to determine that the tide was indeed coming in or going out all along the seashore, rather that being tricked by rogue waves on one part of the beach.

Both averages must make higher highs to confirm a bull market and vice versa.  When the performance of the two averages diverge it is an indication of a change in the tide.

5.    Volume Confirms the Trend

•    Dow noted that volume should expand in the direction of the trend.  Stronger volume should be seen on the days that the market is up in a bull market and down in a bear market.

6.    The trend remains intact until a confirmed reversal

•    A bullish trend can be described as consecutive higher highs and higher lows.  To change to a bearish trend it is necessary to have at least one lower high and a lower low.  This trend change must then be confirmed by the Railroad Average to have the greatest chance of continuing.

The Dow Theory and how it relates to us today

For a theory written over 100 years ago about technical analysis it is amazing how timeless the principles are and how valid they remain.  An understanding of these few principles is an invaluable foundation to effective technical analysis.  The major difference today is that we have moved out of the industrial age into the information age.

The invention of the micro processor making PCs affordable for the masses can be likened to James Watts improved steam engine making mass rail transportation a viable option.  The way that the Internet opened up the global economy can be likened to how the transcontinental railroad in 1869 opened up ease of trade between the east and west of the US.

The Information Age has created a smaller, more integrated world, we already have the ability to work as a unit in real time.  Communication, trade, employment, personal and commercial transactions are now occurring on a global scale.  Largely, international and regional boundaries are being ignored; capital now flows far more freely between countries.

Profits in the industrial age came from economies of scale; factories and assembly lines.  Now profits come from speed of innovation and the ability to attract and keep customers.  In the new economy information is often the currency and the product.

In 1901 the biggest company in the world was U.S Steel with a market cap of approximately 35 billion in today’s dollars.  Now, we have companies like Google that provides an electronic information service with no physical product.  In November 2007 Google had a market cap of over 220 billion.

Technology is at the forefront of the business cycle and semiconductors are at the forefront of technological advancement.  All expansion requires semiconductors and any slowdown causes an expensive build up in inventory.  Inventory that has a very short shelf life causing the semis to feel the burn as soon as the business cycle begins to slow (a huge build up of inventory was seen in 2000).

Semiconductors are the rail roads of the information age and are extremely economically sensitive.  That is why they play such an important part in identifying the markets true direction through a process I call ‘Holistic Market Analysis’.  This is the process used in the weekly ETF HQ Report.

Trading Psychology – Group Intelligence

Group IntelligenceGroup Intelligence is a type of synergistic IQ where the collective IQ of the group (assuming that the participants have little emotional connection) becomes greater that any of the individuals on their own.

Group Intelligence as a part of trading psychology is the basis of the ‘Efficient Market Hypothesis’.  It assumes that at any given time, security prices fully reflect all available information making it impossible to beat the market except through luck.[1] Many studies have been conducted that clearly demonstrate the power of Group Intelligence.

Do you remember the TV show ‘Who Wants to Be a Millionaire?’  By answering correctly 15 multi-choice questions that got successively harder, contestants had the opportunity to go home with up to 1 Million dollars.

Unintentionally every week ‘Who Wants to Be a Millionaire?’ pitted group intelligence against individual intelligence and nearly every week, group intelligence won.  When people got stuck they could call a pre-selected person to help answer the question, another option was to poll the studio audience who would cast their votes by computer instantly.

Logic would suggest that the pre-selected ‘smart’ friend who no doubt had access to the internet would be most likely to have the correct answer.  As it turned out the ‘smart’ friend was right 65% of the time which is not bad.  However the collective answer of the random people in the studio audience who had nothing better to do with their time, was right 91% of the time.[2]

One of the first recorded examples of this phenomenon is from 1906 when Sir Francis Galton analyzed the entries of an ox-weighing contest at a county fair.  In the hope of winning a prize nearly 800 participants paid a six penny fee to enter.  Galton discovered the average guess to be 1,197 pounds which was almost identical to the ox’s actual weight of 1,198 pounds.[3]

The price of the stock market is determined in the same way just on a larger scale: people place their guess on what they think stocks are worth and the average of those guesses determines the clearing price, the point where a willing buyer meets a willing seller.

While the process of a group pricing a stock or identifying the weight of an ox is the same, the influnces on the individuals of the group are very different and so are the results.  Guessing the weight of an ox is not an emotionally demanding decision and there is no influence on the decision by the other participants.  Guessing the price of a stock however can be a very emotional decision and one that is easily influenced by other members of the group.  This is why the ‘Efficient Market Hypothesis’ fails; it does not allow for the distortion caused by emotion.  Returning to our definition of the stock market:

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The stock market represents the collective human emotional interpretation of all that is known and its subsequent effect on the supply and demand of shares in publicly traded companies.

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Collective human emotion causes Herd Mentality which leads to irrational behavior and subsequent inefficient pricing.  Yet the collective knowledge, ‘all that is known’ in the absence of emotions (Fear, Greed etc) causes Group Intelligence; synergistic IQ where the pricing of an asset will be extremely close to its true value.

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Hypothetical True Value

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Above you can see a chart of the Dow Jones Industrial Average going back to the 1930s on a log scale.  This example is purely for illustrative purposes but assuming the black line represented the markets true value, the gyrations either side show where fear and greed have caused irrational pricing.  By averaging out the performance of the market over time, the extremes of emotion become more obvious.

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Most of the time stocks are subject to irrational and excessive price fluctuations in both directions as the consequence of the ingrained tendency of most people to speculate or gamble … to give way to hope, fear and greed. – Benjamin Graham

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These deviations from fair value are what professional investors and traders are able to exploit because of their ability to remain emotionally neutral in their reasoning.  Unfortunately their profits come at the expense of the majority of market participants who follow the crowd and are driven by emotion.

Eventually the market will always correct back to the true value of its underlying companies as a whole.  The true returns from a mature market over the long term will never be more than a few percent a year and this is the return that can be expected by the buy and hold investor.

Where have you seen Group Intelligence in action?  Do you think that the markets are efficient?  Leave your thoughts in the comments section below.

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Part 1 – Trading Psychology

Part 2 – Herd Mentality

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  1. ^ Efficient Capital Markets: A Review of Theory and Empirical Work by Eugene F. Fama, The Journal of Finance, Vol. 25, No. 2, May, 1970, Pages 383-417.
  2. ^ Group Intelligence – The Wisdom of Crowds, 2004 by James Surowiecki.
  3. ^ Vox Populi by Sir Francis Galton, Scientific Journal – Nature, March 7, 1907 Pages 450-451.

ETF HQ Report – Short Term Weakness

March 21, 2010 – 08:30 pm ET

Over the last two weeks the market has been moving rather predictably.  But due to ‘Mother Market’ having a twisted sense of humor (or perhaps simply due to being female) her times of predictability are commonly followed by periods that defy logic.

Last week I said that things looked a bit overcooked and there has since been a definite slow in momentum.  The short term technical picture has deteriorated although on a positive note the semiconductors did shown signs of life.

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ETF % Change Comparison

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ETF % Change Comparison
IWM was the most over cooked of the ETFs that we track so it is not surprising to see it was the worst performer over the last week.  SMH finished the week as the top performer although it is yet to break through the high it set 70 days ago and was hit hard on Thursday and Friday.  Still, the fact that SMH produced some buying interest is a good sign.

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What the % Comparison Table Tells Us:

By comparing the performance of the economically sensitive (SMH, QQQQ, IWM, IYT) and the comparatively stable ETFs (SPY and DIA) we can get an indication of the true market direction. The more sensitive areas of the market tend to be the first to initiate a trend change. For example if DIA and SPY sell off heavily while SMH and IWM (Russell 2000 small cap ETF) sell of mildly or continue moving to new highs then this would be very positive and vice versa.

The ‘Average Rank %’ is calculated by subtracting the % change for each ETF from the maximum % change and dividing it by the range for each period. 1-((MAX(% change all ETFs)-ETFs % Change)/(MAX(% change all ETFs)-MIN(% change all ETFs))) The readings for each period are then averaged. This reading is provided because if one ETF was significantly under/out performing the others then a plain high or low rank would not accurately reflect this.

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A Look at the Charts

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SPY

Little has changed over the last week although short term weakness from SPY looks even more likely.

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QQQQ

It will be interesting to see where QQQQ will find support.

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SMH

SMH is the only one of the ETFs that we track to still have a bullish RSI.  If the market is going to defy gravity and keep heading higher before any consolidation then SMH will have to be the driver.

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IWM

IWM couldn’t keep going up forever without taking a breather.

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IYT

Another impressive week from IYT (Dow Transportation Index ETF).  It is very unlikely that IYT could perform like this if the market was about peak.

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OM3 Weekly Indicator

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OM3 Weekly Indicator
All positive signs from the OM3 indicator.

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How to read the OM3 indicator

The OM3 indicator as with most of our models primarily reads price action and volume. The strong/weak buy/sell signals are self-explanatory. ‘No Signal’ means that the component readings are in conflict and cancel each other out.

The alerts let you know if the cycle is speeding up or slowing down, so when you get at ‘Strong Buy, Bear Alert’ for instance it simply means that the criteria for a strong buy is in place but this weeks cycle reading is weaker (or more bearish) than last weeks reading (the same is true in reverse).

The number of weeks that a signal has been repeated is displayed. Historically a ‘Strong Buy’ signal has lasted for an average of 6 weeks and a maximum of 42 weeks, while a ‘Strong Sell’ has lasted for an average of 4 weeks and a maximum of 16.

This is an indicator not a mechanical trading model. It is useful to assist in analyzing the market but for the best results should be combined with commonsense and support/resistance levels etc.

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TransDow & NasDow

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Transdow and Nasdow
The Dow Transportation Index remains dominant over the Dow while the Dow remains dominant over the NASDAQ.  I wouldn’t read too deeply into this.

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What the TransDow Readings tell us:

The TransDow measures dominance between the DJ Transportation Index (DJTI) and the Dow Jones Industrial Average (DJIA). In a strong market the more economically sensitive Transportation Index should be dominant over the DJIA.

Historically the DJTI has been dominant over the Dow 45% of the time. The annualized rate of return from the DJTI during this period was 18.47% with the biggest loss for one trade sitting at -13.27%. The annualized return from the DJIA during the periods it was dominant over the DJTI was just 4.06% and the biggest loss for one trade was -16.13%. A 4% stop-loss is applied to all trades adjusting positions only at the end of the week.

What the NasDow Readings tell us:

The NasDow measures dominance between the NASDAQ and the DJIA. Using the same theory behind the Trans Dow; in a strong market the more economically sensitive NASDAQ should be dominant over the DJIA.

Historically the NASDAQ has been dominant over the DJIA 44% of the time. Taking only the trades when the NASDAQ is above its 40 week moving average the annualized rate of return was 25.47% with the biggest loss for one trade sitting at –8.59%. The annualized rate on the DJIA during the periods it was dominant over the NASDAQ is just 8.88% and the biggest loss for one trade was –12.28%. A 8% stop-loss is applied to all trades adjusting positions only at the end of the week.

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LTMF 80 & Liquid Q

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LTMF 80 and Liquid Q

Positions remain open on QQQQ from both LTMF 80 and Liquid Q.  Internal readings are also strong.

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Historical Stats:

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LTMF 80 & Liquid Q Stats

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How The LTMF 80 Works

LTMF stands for Long Term Market Forecaster. It reads volume flows relative to price action and looks for out performance of volume measured on a percentage basis over the prior 12 months. During a sustained rally the readings will reach high levels (near 100%) making it imposable for the volume reading to always outperform price so any reading above 80% will maintain the buy signal. This system has outperformed the market over the last 10 years but performance has been damaged by some nasty losses. It only produces buy signals and only for QQQQ.

How Liquid Q Works

Liquid Q completely ignores price action and instead measures the relative flow of money between a selection of economically sensitive and comparatively stable ares of the market. It looks for times when the smart money is confident and and can be seen by through volume investing heavily is more risky areas due to an expectation of expansion. This system has outperformed the market over the last 10 years and remained in cash through most of the major declines. It only produces buy signals and only for QQQQ. We will provide more performance details on the web site for these systems soon.

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Summary

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Everything looks quite simple at the moment.  Longer term indications are positive but short term weakness is likely.  If profit taking occurs how severe it will be is not clear.  However as long as SMH stays above $26 then any pullbacks by the broad market should be good buying opportunities.  Remember though, the market is in a constant state of change so just because current risk levels appear low is not excuse not to be prepared.

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Any disputes, questions, queries, comments or theories are most welcome in the comments section below.

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Derry

And the Team @ ETF HQ

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P.S Thank you for sharing this newsletter, we grow primarily through word of mouth.  Please direct people to ETFHQ.com to subscribe.

P.P.S Become a fan of ETFHQ on facebook – HERE

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The Devils Dictionary – D

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Dead Cat Bounce – Originally a trading floor term for false bottom stock price movements but since the Madoff Fiasco it now describes a new phenomenon of mass coordinated suicide by disgraced yet honorable felines of soon-to-be felons.  It is unclear whether a Jonestown style cool-aid is being secretly absorbed at grooming parlors by cats of hedge fund operators faced with massive investor redemptions making it clear to the cats that the party is over or whether it is totally instinctive similar to homing pigeons who can travel thousands of miles with out a guidance system.

The are several reports, most likely fictitious, of cats unsuccessfully trying to convince their owners to do the honorable thing with them.  It is interesting to note that attempted cat suicide has a statistically significant survival rate when the leap occurs from the 9th – 17th floors of residential buildings.  This is due to the cat’s automatic bladder evacuation reflex that occurs in this range of fall.  Ruptured bladders are the primary cause of death of falling cats and nine floors seems to be just enough time to empty their bladders while above 17 floors the laws of physics take over.

This phenomenon will likely result in a financial arbitrage opportunity where 9 – 17th floor apartments will trade at a premium and a new financial security is rumored to already be in the works known as the CBO or Cat Bounce Option.

Downgrade – A reduction in the quality of a credit rating.  Normally occurs after the deterioration of fundamentals, but before the event of a default.  This action protects the reputation of the rating agencies but not the wealth of bondholders.  See subprime.

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E

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EBITDA – Earnings Before Including Terribly Dubious Activities.  Antiquated use was Earnings Before Interest Taxes Depreciation and Amortization.  One of several measure of earnings power of a firm for purposes of valuation.

Trading Psychology – Herd Mentality

Herd MentalityHerd Mentality results in the dilution of I.Q. by the members of a group.  This dilution increases exponentially with the size of the group and the level of emotion common amongst members.  Herd Mentality is the reason why a group of people can abandon reason and descend into madness in a way that any individual of the group would not, it is also a major cause of Contagion.  For this reason it is essential to maintain your individuality when investing.  In doing so you can objectively observe the herd’s behavior and profit from its stupidity.

Herd mentality is not reserved for the stock market; have you ever watched a riot on TV and seen regular people committing terrible acts of violence with a complete disregard for others?  This is a reaction to peer pressure which makes individuals act in order to avoid feeling ‘left out’ from the group.

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Men, it has been well said, think in herds; it will be seen that they go mad in herds, while they only recover their senses slowly, and one by one! – Charles Mackay

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French sociologist Gustave Le Bon developed a theory called Contagion (different from Financial Contagion).  It assumes that crowds exert a hypnotic influence over their members.  People find themselves in a situation where they are anonymous and can abandon personal responsibility.  They get sucked up in the contagious emotions of the crowd and can be driven toward irrational, often violent action that most isolated individuals would not attempt.[1] The main flaw in this theory is that crowd behavior is not necessarily irrational.

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The crowd is always intellectually inferior to the isolated individual, but that, from the point of view of feelings and of the acts these feelings provoke, the crowd may, according to circumstances, be better or worse than the individual.  All depends on the nature of the suggestion to which the crowd is exposed – Gustave Le Bon

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Another theory to explain Herd Mentality is called Convergence.  It suggests that crowd behavior is a product of the convergence of like-minded individuals; that people who wish to act in a certain way come together to form crowds.[2] Floyd Allport, a man considered the founder of social psychology said “The individual in the crowd behaves exactly as he would behave alone, only more so.”  Convergence theory better explains why not all groups of people behave irrationally but does not explain why some people do things in a crowd that they would not have the courage to do alone.

I agree with both theories in part.  My research suggests that it is the underlying emotions of the crowd that hold the key to understanding its behavior.  If the emotions are negative such as anger, hate, fear, greed etc. then the resulting behavior is best explained by Contagion Theory.  As the negativity and the intensity of the emotions increases the resulting behavior is progressively more animalistic and irrational.

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Examples:

  • The Netherlands Tulip mania 1636–37
  • New York Draft Riots 1863
  • The Roaring Twenties and the crash of 1929
  • The Black Monday market crash October 1987
  • June 2001 riot by Los Angeles Lakers fans after the Lakers victory over Philadelphia in the NBA Finals
  • Run on the Bank of England September 2007

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Stock market bubbles and crashes are great examples of Herd Mentality and Contagion Theory.  They tend to begin and end with extremes of emotion; frenzied buying (Greed) to cause a bubble and then selling in a panic (Fear) to trigger a crash.  Otherwise sensible people act against their better judgment.[3] Individuals don’t want to be ‘left out’ and rush with the crowd into or out of the market.

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The crimes of Nazism are not the crimes of one nation.  Cruelty a taste for violence, the religion of force, ferocious racialism, are not the prerogative of a period or of a people.  They are of all ages and of all countries.  They have biological and psychological bases which it is by no means certain that we shall escape again.  The human being is a dangerous wild animal.  In normal periods his evil instincts remain in the background, held in check by the conventions, laws and criteria of civilization, but let a regime come that not only liberates these terrible impulses but makes a virtue of them, then from the depths of time the snout of the beast reappears, tears aside the slender disguise imposed by civilisation and howls the death-cries of forgotten ages – Jacques Delarue (The History of the Gestapo)

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However if the underlying emotions are positive such as love, peace, serenity, unity, understanding etc. then the resulting Herd Mentality is better explained by Convergence Theory.

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Examples:

  • The majority of weekly Religious Gatherings
  • The majority of sporting events
  • The majority of music concerts
  • Peaceful Protests

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The most significant example of Herd Mentality as explained by Convergence Theory was seen during the Salt Satyagraha.  It was a campaign of non-violent protest against the British salt tax in India lead by Mahatma Gandhi.  There are reports of over 100,000 people at times marching in a spirit of peace, unity and harmony.[4] These people were suffering racial and financial injustice and had every reason to be angry yet they remained non-violent.

So what has this got to do with making money in the stock market?  Well, it’s the emotions of fear and greed that cause the Wall Street herd to behave irrationally.  In contrast; Gandhi, through maintaining positive emotions and resisting anger and fear, induced 200 million people to maintain their composure and act with a clear mind.  The result was to bring Britain, a world super power to its knees without any violence or financial backing.

To stay separate from the herd we must remain emotionally neutral, resisting both fear and greed.  This is only possible when you know that probability is in your favor.  Then you don’t need to care about the outcome of a particular trade, you can remain detached from the outcome and let the law of averages run it course.

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If you cannot control your emotions you cannot control your money – Warren Buffett

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A fascinating aspect of Trading Psychology is that when the emotional influence on members of a group is low, Herd Mentality evolves into Group Intelligence.

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Even the intelligent investor is likely to need considerable willpower to keep from following the crowd. – Benjamin Graham

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What tactics do you use to remove emotions from your investing decisions?  Have you ever been caught following the crowd?

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Part 1 – Trading Psychology

Part 3 – Group Intelligence

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  1. ^ The Crowd: A Study of the Popular Mind, 1896 by Gustave Le Bon.
  2. ^ Sociology, 2007 by John J. Macionis.
  3. ^ Herd mentality rules in financial crisis by Maggie Fox, Reuters September 30, 2008.
  4. ^ Gandhi and Salt Satyagraha, 1981 by S. R Bakshi.