Archive for April, 2011

27
Apr

A. Coles, April 14, 2011

BrightPoint_Consulting_Stock_Market_Monitoring_Digital_DashboardThis is NOT a solicitation to purchase the book. It’s merely to say that while the three appendices in the book either advise on coding issues or contain code for the Topfinder/Bottomfinder (TradeStation) and standard MIDAS support/resistance curves (Metastock), there are additional indicators discussed in the book for which code was not supplied.

In agreement with the publisher, this code (Metastock format) is available to those who purchase the book and further details can be found here:http://midasmarketanalysis.com/a-3/b/hg/.

Retain the receipt of purchase and email a copy of it to Andrew Coles here on the site. He’ll then email you a password to download the code.

This post will be reposted periodically (second repost).

.

Post to Twitter Tweet This Post

Print
Category : Uncategorized | Blog
17
Apr

by David G. Hawkins

This is my mid month review of the status of the S&P 500.  In my last post on April 4th, I reviewed all four timeframes, from very long term (quarterly bars) down to short term (daily bars).  Now at mid month, I will update the daily and weekly bars charts, leaving the monthly bar chart to update at the end of this month, and the quarterly bars one at the end of this quarter.

Short Term (Daily Bars Chart)

The first chart here is the daily bars chart.  We see that since my April 4th update, price has rolled down to, and last Thursday bounced smartly up off of S1, continuing up on Friday.  This bounce up was so definitive that I would expect upside follow-through over the next few days.  It price goes on to break above the new R1, then we’re in a new uptrend.

Intermediate Term (Weekly Bars Chart)

The second chart here is the weekly bars chart.  Over the last two weeks it shows a minor pullback of no significance.  The uptrend that started last September is still intact, and, according to the TopFinder, is now 44.5% done, with its completion projected to occur at the horizontal location of the dashed vertical purple line.

^GSPCdailyShow

^GSPCwklyShow

Post to Twitter Tweet This Post

Print
Category : David Hawkins | Blog
14
Apr

A. Coles, April 14, 2011

BrightPoint_Consulting_Stock_Market_Monitoring_Digital_DashboardThis is NOT a solicitation to purchase the book. It’s merely to say that while the three appendices in the book either advise on coding issues or contain code for the Topfinder/Bottomfinder (TradeStation) and standard MIDAS support/resistance curves (Metastock), there are additional indicators discussed in the book for which code was not supplied.

In agreement with the publisher, this code (Metastock format) is available to those who purchase the book and further details can be found here: http://midasmarketanalysis.com/a-3/b/hg/.

Retain the receipt of purchase and email a copy of it to Andrew Coles here on the site. He’ll then email you a password to download the code.

This post will be reposted periodically.

.

Post to Twitter Tweet This Post

Print
Category : Andrew Coles | Blog
12
Apr
by Andrew Coles, April 12, 2011

.

Summary of post

stock_charts_250x251One of the site’s regular readers emailed recently to ask if I could summarize the types of MIDAS curve now developed, as there was some confusion over references and terminology. The aim of this post is to cover this topic briefly. This is a MIDAS tutorial so it will also be stored in the folder ‘MIDAS tutorials’.

A final table at the end of this blog post is a concise summary of the various curves.

Two basic methods of evolving the curves

There are obviously two ways in which any formula or algorithmic procedure can be adapted. Very simply, the first would involve changing or extending the actual data input to the formula, while the second would involve either changing or adding to the basic maths. With these two ways in mind, what follows is a quick review of the recent development of MIDAS curves.

First Generation curves: Paul Levine’s original (minor) adaptation of the basic VWAP formula

First Generation curves are Levine’s modification of the basic VWAP formula upon which First Generation curves are based. He applied this basic modification (a simple subtraction procedure involving the launch bar) both to his standard MIDAS support/resistance curves and to his more complex Topfinder/Bottomfinder (TB-F) curves. This work was the subject of his original online lectures.

Second Generation curves: replacing market volume with constant volume to create “constant volume” or “nominal” curves

Second Generation (“nominal”) curves represent a vital move forward from First Generation curves in so far as they depend on an essential, more advanced, understanding of how to apply MIDAS curves. Since First Generation curves critically rely on the market-derived cumulative volume input in the volume-weighted aspect of the VWAP formula upon which they’re based, their chart positioning is heavily influenced by this market-based cumulative volume input.

This volume influence in VWAP goes back to the original VWAP formula in so far as it was always understood that the more volume traded at a certain price level, the more impact it has on the VWAP. However, beyond this insight the actual role of volume was never investigated more deeply.

When analysed more thoroughly, it emerges that various (identifiable) relationships between price trends and volume trends have a crucial role in the plotting of MIDAS curves. For example, what happens when a MIDAS curve is plotted using data from a rising price trend plus rising volume, or a rising price trend plus declining volume? A lot actually, since curves will displace (move about) quite dramatically as a result of these different relationships between uptrending and downtrending price and volume data. Readers interested in this vital area should consult Coles’ Chapter 11 and Hawkins’ Chapter 6 in the book.

To provide one instance here, Chart 1 below is a monthly chart of the DJIA from 1981 to the present with a volume histogram and a 25 month moving average of volume beneath. A volume MIDAS support curve (solid) is launched from the bottom of the 1987 stock market crash and creates a powerful support level for the major 2003 bottom. The height of this curve is explained by Rule #1, that a rising price trend plus volume trend displaces a curve upwards. After the 2007 high, the subsequent 2008 subprime collapse broke this curve and thus provoked the launch from the same 1987 bottom of a nominal curve (dotted), the rationale being that the persistent uptrend in volume would create a significant downwards displacement of a nominal curve from the volume curve with the potential to influence the 2009 bottom. This is precisely what we see in relation to these two vital market bottoms in recent stock market history.

.

Figure 4

Chart 1

.

Nominal curves are described as constant volume curves because of the way in which the artificial volume that replaces actual cumulative volume from the market is inserted into the MIDAS algorithm. This is explained thoroughly in the book.

Readers looking at Chart 1 will see straightaway that Second Generation nominal curves don’t replace First Generation curves. Both types of curve are crucially needed. It all depends on the relationship between the price-volume trends a MIDAS analyst is confronted with. It also depends crucially on a MIDAS analyst’s familiarity with these relationships and his ability to apply the rules that are derived from them correctly.

Nominal curves can also be applied to contexts where there is no market volume. An example is the volumeless higher timeframe cash FX markets. See Coles’ Chapter 10.

Second Generation curves: replacing the volume weighting in the MIDAS formula with open interest weighting (OIWAP instead of VWAP)

For longer-term futures traders who have a choice of working with volume trends or trends in open interest, it’s also possible to replace volume with open interest instead of constant volume. For example, in the case of Rule #1 above, if in a price uptrend with shallow pullbacks volume is declining but open interest is increasing, a MIDAS analyst would create more accurate MIDAS curves if he replaced volume with open interest. I’ve covered this in Chapter 12.

Third Generation (Parallel) curves: Momentum, Volume, Volatility, Relative/Strength, Econcomic

Third Generation curves have appeared very recently and I’ve used the word “parallel” as a catch-all term to describe them.

I first created them in a very late chapter for the book (Chapter 16) where I began to apply MIDAS curves to datasets other than price with the same fractal trend characteristics. The idea was that price-based MIDAS curves often miss many important price inflection points despite their being launched correctly and despite the various innovations above.

In Chapter 16 I applied the MIDAS curves to Granville’s On Balance Volume, but since the completion of the book I’ve applied them to other datasets with considerable success. In particular, two new MIDAS trading setups have emerged I’ve called the Dipper Setup and the Inversion Setup. Anyone interested in further exploring Third Generation curves will find an article in the June 2011 and July 2011 issues of Active Trader magazine. Here I create Momentum Curves (MACD), Volatility Curves (VIX), Relative Strength Curves (R/S), and Economic Curves. For the latter I chose the Baltic Dry Index. Third Generation curves produce excellent trading opportunities, and the Momentum Curves (and OBV-style curves) also remove the age-old problem of timing divergences.

******

At the outset of this discussion, it was stated that there have been two ways in which the basic MIDAS formula has been manipulated. The first way has been in terms of changing the actual data input for the algorithm. As discussed above, First, Second, and Third Generation curves have all been created as a result of applying this methodology.

The second way in which the MIDAS formula has been manipulated is in terms of changing or adding to the basic maths behind the formula. In the remainder of this post I’ll discuss the innovations that have been made to Levine’s original curves with respect to this second approach.

David Hawkins’ Calibrated Curves

It’s not entirely true to say that Calibrated Curves are based on changing or adding to the basic maths in the MIDAS formula, but it’s necessary to include them here because they rely on a different launch point to standard MIDAS curves. As a result, they do process information slightly differently. These atypical launch points are calibrated to subsequent important price turning points and thus capture additional, highly relevant, market moves that standardly-launched MIDAS curves miss. See Hawkins’ Chapter 9 in the book.

Bob English’s MIDAS Average and MIDAS Delta Curves

A presentation of Bob’s ideas can be found in the second half of Chapter 17, including these curves. MIDAS Average curves (MACs) are created by taking the average of a standard MIDAS support/resistance curve, while MIDAS Delta curves (MDCs) are plotted equidistant from the standard MIDAS S/R curve on its other side. Both types of curve are important when examining longer-term datasets. MACs were developed to help cope with much deeper pullbacks, which are a problem for standard MIDAS S/R curves in so far as deep pullbacks usually break straight through them. MDCs were developed to cope with sharply trending markets that will usually pull away from standard MIDAS S/R curves quickly. As such, MDCs plot in a similar way to the Topfinder/Bottomfinder curves, but without the parabolic component in the algorithm.

Andrew Coles’ MIDAS Displacement Channel (MDC)

Initially, the MDC was developed for sideways markets, where Levine’s original curves would simply move to the middle of the trading range and become ineffective. By displacing the original curve to create one or more upper and lower boundary channels, it was possible accurately to identify support and resistance areas in sideways conditions. However, it quickly became apparent that the MDC is also very effective when trends aren’t trending up and down too sharply. In such conditions, the MDC will also catch price highs in uptrends and price lows in downtrends. This indicator is discussed by Coles in Chapter 14.

MIDAS Standard Deviation Bands

This indicator has evolved gradually. Bob English was the first to code the indicator in Tradestation while illustrating its potential on his website, wwwprecisioncapmgt.com. I was the first to code it in Metastock while replacing the VWAP formula with the MIDAS formula. Chapter 15 covers this indicator.

Non-curve based MIDAS innovations

There are various non-curve based innovations, but since the results involve various types of oscillator or other related indicators, they won’t be covered here. Chapter 17 covers many of these ideas, especially those by Bob English in the second half.

Summary of curves in table

table

******

As emphasized in the table, all of the innovations that involve changes or additions to the formula can be created as First Generation, Second Generation, or Third Generation curves.

.

.

Post to Twitter Tweet This Post

Print
Category : Andrew Coles | MIDAS tutorials | Blog
11
Apr
posted by Andrew Coles, April 11, 2011.

This is something of a digression from our usual preoccupations, but I thought it interesting enough to post.

original blogpost: http://bldgblog.blogspot.com/2011/03/islands-at-speed-of-light.html

.

ISLANDS AT THE SPEED OF LIGHT

A recent paper published in the Physical Review has some astonishing suggestions for the geographic future of financial markets. Its authors, Alexander Wissner-Grossl and Cameron Freer, discuss the spatial implications of speed-of-light trading. Trades now occur so rapidly, they explain, and in such fantastic quantity, that the speed of light itself presents limits to the efficiency of global computerized trading networks.

These limits are described as “light propagation delays.”

[Image: Global map of "optimal intermediate locations between trading centers," based on the earth's geometry and the speed of light, by Alexander Wissner-Grossl and Cameron Freer].

It is thus in traders’ direct financial interest, they suggest, to install themselves at specific points on the Earth’s surface—a kind of light-speed financial acupuncture—to take advantage both of the planet’s geometry and of the networks along which trades are ordered and filled. They conclude that “the construction of relativistic statistical arbitrage trading nodes across the Earth’s surface” is thus economically justified, if not required.

Amazingly, their analysis—seen in the map, above—suggests that many of these financially strategic points are actually out in the middle of nowhere: hundreds of miles offshore in the Indian Ocean, for instance, on the shores of Antarctica, and scattered throughout the South Pacific (though, of course, most of Europe, Japan, and the U.S. Bos-Wash corridor also make the cut).

These nodes exist in what the authors refer to as “the past light cones” of distant trading centers—thus the paper’s multiple references to relativity. Astonishingly, this thus seems to elide financial trading networks with the laws of physics, implying the eventual emergence of what we might call quantum financial products. Quantum derivatives! (This also seems to push us ever closer to the artificially intelligent financial instruments described in Charles Stross’s novel Accelerando). Erwin Schrödinger meets the Dow.

It’s financial science fiction: when the dollar value of a given product depends on its position in a planet’s light-cone.

[Image: Diagrammatic explanation of a "light cone," courtesy of Wikipedia].

These points scattered along the earth’s surface are described as “optimal intermediate locations between trading centers,” each site “maximiz[ing] profit potential in a locally auditable manner.”

Wissner-Grossl and Freer then suggest that trading centers themselves could be moved to these nodal points: “we show that if such intermediate coordination nodes are themselves promoted to trading centers that can utilize local information, a novel econophysical effect arises wherein the propagation of security pricing information through a chain of such nodes is effectively slowed or stopped.” An econophysical effect.

In the end, then, they more or less explicitly argue for the economic viability of building artificial islands and inhabitable seasteads—i.e. the “construction of relativistic statistical arbitrage trading nodes”—out in the middle of the ocean somewhere as a way to profit from speed-of-light trades. Imagine, for a moment, the New York Stock Exchange moving out into the mid-Atlantic, somewhere near the Azores, onto a series of New Babylon-like platforms, run not by human traders but by Watson-esque artificially intelligent supercomputers housed in waterproof tombs, all calculating money at the speed of light.

[Image: An otherwise unrelated image from NOAA featuring a geodetic satellite triangulation network].

“In summary,” the authors write, “we have demonstrated that light propagation delays present new opportunities for statistical arbitrage at the planetary scale, and have calculated a representative map of locations from which to coordinate such relativistic statistical arbitrage among the world’s major securities exchanges. We furthermore have shown that for chains of trading centers along geodesics, the propagation of tradable information is effectively slowed or stopped by such arbitrage.”

Historically, technologies for transportation and communication have resulted in the consolidation of financial markets. For example, in the nineteenth century, more than 200 stock exchanges were formed in the United States, but most were eliminated as the telegraph spread. The growth of electronic markets has led to further consolidation in recent years. Although there are advantages to centralization for many types of transactions, we have described a type of arbitrage that is just beginning to become relevant, and for which the trend is, surprisingly, in the direction of decentralization. In fact, our calculations suggest that this type of arbitrage may already be technologically feasible for the most distant pairs of exchanges, and may soon be feasible at the fastest relevant time scales for closer pairs.

Our results are both scientifically relevant because they identify an econophysical mechanism by which the propagation of tradable information can be slowed or stopped, and technologically significant, because they motivate the construction of relativistic statistical arbitrage trading nodes across the Earth’s surface.

For more, read the original paper: PDF.

Post to Twitter Tweet This Post

Print
Category : Andrew Coles | Blog
7
Apr

by Andrew Coles, 7 April, 2011

summary of post

One observation in my recent posts, especially March 23, has been the relative strength of the US markets and the FTSE and DAX in comparison with the so-called PIIGS (Portugal, Italy, Ireland, Greece, Spain) indices and the Euro Stoxx 50 in relation to the main MIDAS S1 subprime curve. Recently, this theme has also been developed by Elliott Wave International in relation to their ongoing wavecounts. To the list comprising the PIIGS and the Euro Stoxx 50, we can also add the Shanghai SSE. At some stage soon, it’ll be appropriate to do a full MIDAS analysis of these indices, especially the Shanghai SSE and the Euro Stoxx 50. Today however I’ll concentrate on the FTSE 100 as a balance to David’s ongoing analysis of the S&P 500.

As always in my posts when discussing relative MIDAS curves and trend sizes, I follow Martin Pring’s conventions in Technical Analysis Explained. Since this book is on the IFTA diploma curriculum, I assume these conventions are technical analysis industry standards. At least they seemed to be when I did the diploma:

Secular trend = 10 years to as long as 25 years

Primary trend = nine months to two years (associated with unfolding fundamentals and the business cycle)

Intermediate trend = 6 weeks to 9 months, though sometimes longer

Short term trend = 2 to 4 weeks (occasionally shorter, occasionally longer)

.

In Chapter 3 of the book I’ve added shorter-term trends of relevance to day trading.

In what follows, I’ll start with secular term analysis and end with a perspective on the current intermediate trend.

.

Secular term curves on the FSTE 100

Chart 1 below is a monthly chart of the FTSE 100 from the beginning of 1984 with volume in the lower pane and a 25 month moving average of volume.

.

1

Chart 1: active secular degree curves from the 1980s

The chart is a Yahoo finance cash chart, with volume not being recorded until the beginning of 2003. The only three active secular curves on this timeframe are S1, S2, and S3. S1 is a nominal curve, ie, one computed with constant volume to take account of the absence of volume prior to 2003. (I’ll write a separate tutorial post on nominal curves in the near future.) S1 is also a Hawkins calibrated curve (see Chapter 9 of the book). As we can see, S1 caught the bottom of the 1987 crash, and since then has actively supported the 2003 and 2009 lows, albeit in the latter case with some price porosity.

I’ve left S2, another nominal curve, on the chart because it too supports the 2003 and 2009 lows, albeit with deeper levels of porosity.

S3, the third nominal curve, supported the major 2001 pullback and was also active in 2010 in halting the July low.

Of course, after S3’s launch in 1993 many more secular degree curves were active on this index. However, none are presently influential so they’ve been removed.

A final feature of Chart 1 is the possibility, in Elliott terms, of a descending triangle, with a putative wave d currently in progress targeting the 6,500 level. A wave e to complete the triangle would be consistent with secular degree wavecounts on other international indices that anticipate a wave c in a standard ABC zigzag formation. I’ve sketched this tentative triangle pattern on this chart.

.

The Secular Term MIDAS Displacement Channel

Chart 2 below is another Monthly chart with S2 and S3 removed. The feint lower curve from the left is the 1984 S1 calibrated curve. This chart displays my MIDAS Displacement Channel (MDC), which was the subject of an article in Stocks & Commodities magazine and is discussed in Chapter 14 of the book.

.

z

Chart 2 with the MIDAS Displacement Channel

Here, the MDC is also a nominal (constant volume) version, and is also of secular proportions. The lower boundary of the channel fitted at the green arrow at a 34% displacement captured the 2009 bottom much more accurately than the 1984 S1 calibrated curve, and is now obviously a secular degree support area below the 1984 S1 curve. The upper boundary of the channel was fitted at a displacement of 28% at the green arrow and is a major secular resistance curve, currently at the 6,700 level. Since MIDAS curves will sometimes repel price when there’s a small amount of chart whitespace intervening (a phenomenon I call “suspension”), the 6,700 level is consistent on this secular degree scale with 6,500, which was suggested above in relation to the possibility that the FTSE 100 is charting out a secular degree descending triangle.

.

Primary degree curves on the FTSE 100

Chart 3 below is a weekly chart. Starting from the bottom of the chart, the lowest feint curve is the 1984 calibrated S1 curve. Above that I have the first primary degree curve (red). This is the main subprime curve I’ve discussed in several earlier posts, notably in the March 23 entry.

.y2

Chart 3: with Elliott Wave count and S2 MDC and S3 MDC

Primary curve S2 is actually another MIDAS Displacement Channel (MDC). The MDC was designed for sideways markets, where Levine’s original curves were ineffective; however, the MDC also works extremely well in trends that aren’t accelerating rapidly, where the upper channel will catch the highs in uptrends and the lower channel will capture the lows in downtrends. We see this here.

So far as the S2 MDC is concerned, it was fitted at the olive arrow at a 10% displacement and captured the Elliott waves 3 and 5 of the first impulse. It has had little effect in halting the new price rise since mid-March.

S3 is also another MDC, this time fitted at the blue arrow high (subwave 3 of wave 3) at a displacement of 9%. The standard S3 MIDAS curve below the upper channel caught the wave 2 and wave 4 bottoms of this second Elliott impulse, albeit with some porosity. The 9% upper channel caught the recent mid-February wave 3 top and is now proximate resistance to the upside since mid-March at the 6,200 level.

6,200, then, is the first intermediate trend target on this chart. However, 6,250 marks the first impulse (= 1.00) multiplied by .618, so the proximity of the Elliott/Fibonacci target plus the MDC target should be taken seriously.

.

An intermediate degree Topfinder (TF) on the FTSE 100

Chart 4 below is a daily chart of the FTSE 100, this time in Equivolume. Equivolume charting dispenses with time along the horizontal x axis in favour of volume; as a result, it’s possible to set an extrapolated price target alongside the firm cumulative volume prediction of the Topfinder or Bottomfinder.

.

dddddddddddddd-actual

Chart 4: TF measuring the intermediate trend

To get our bearings, the swing low on this chart is the mid-March low. Since then, the price upside has been fairly parabolic. This means that the new intermediate trend S1 (blue) curve has already displaced from the price uptrend, thus setting the condition for the launch of a Topfinder from the mid-March low.

David mentioned in his post of a few days back that currently it’s not easy to fit a TF to the S&P 500 because the upside since mid-March has been so relenting. I agree, but it is possible (just) to fit a TF to the lower right of the Equivolume bar highlighted by the grey arrow on this chart. This fitting is giving a D reading of 190,000,005 shares. This is the predicted amount of cumulative volume that must be entirely burned before the TF completes, and hence the firm cumulative volume prediction associated with this phase of the trend ending.

At the point of fitting, D is 53% complete, meaning that there’s another 47% of D still to run. By using Equivolume charts I can mark a vertical (dotted) line on the chart where the cumulative volume in D will expire. I can also create a linear regression slope through the price upside since mid-March in order to meet the vertical cumulative volume prediction. Where they intersect is the estimated price target. We see this in profile most clearly with the magenta backwards shaped “L”, which was an iconic feature of Levine’s original Topfinder/Bottomfinder.

Whereas the cumulative volume number is the firm prediction in MIDAS theory, the time target is only an extrapolated estimate. This is because the price trend could become more or less parabolic as the remaining cumulative volume is used up. If it becomes more parabolic, we’ll obviously get a higher price target; if it becomes less, we’ll get a lower one. At the present time, the estimated price target is 6,290, though it must be reemphasized that this is an extrapolation. The accurate aspect – provided the fitting itself is correct – is the cumulative volume prediction.

Hence, the variance around 6,290 is consistent with the upper channel of the S3 MDC and the Fibonacci projection given a zone of between 6,200 and 6,250. This of course is for the current end of the intermediate trend. However, it could mark the end of the primary trend, albeit the higher primary trend target is identified by the secular degree MIDAS Displacement Channel at around 6,700 (with the putative triangle at 6,500).

.

A time target for the FTSE 100

Chart 5 is the final chart here of Wilder’s/Sloman’s Long Term Delta (LTD), which is consistent with the intermediate trend. Pivot 24 is due in June (broken line), though again there is some tim

Post to Twitter Tweet This Post

Print
Category : Andrew Coles | Blog
4
Apr

by David G. Hawkins

This is my first posting on my new semi-monthly schedule.  And since this is also right after the end of a quarter, I’m going to take the time here to review all four of the timeframes I follow – Very Long Term (quarterly bars chart), Long Term (monthly bars), Intermediate Term (weekly bars) and Short Term (daily bars).  At the mid month blog post, I’ll just update the daily and weekly bars charts, and at the beginning of each month I’ll also show the monthly bars chart updated.

First Chart – THE VERY LONG TERM TIMEFRAME, Quarterly Bars

This chart below here is time based instead of being EquiVolume as most of my charts are, and the Midas support curve (green) and TopFinder (purple) are calculated with constant volume instead of real volume data.  These choices were driven by the properties of the very long term timeframe, a subject that I devote considerable printers ink to in our forthcoming book.

Last quarter showed a definitive break through and close above the two primary resistance curves (red), implying near term strength in the market.  If this trend continues as it has been, in one to three more quarters price will reach the next significant resistance, the horizontal line (black) across the market tops of 2000 and 2007, at 1553.  Since 2000, in this timeframe the market has been in a wide trading range defined by the 2000 top and the S1 Midas support curve on the bottom.

Look at the upper pane of this chart, the RSI, an indicator which is known to be amenable to trend line analysis, and which on this chart is showing that capability so nicely.  The first red trend line follows the descending tops from the early 1950s through the late 1970s.  When it was breached to the upside, at the red arrow, that was a most timely signal that the bear market of the 1970s was over and it was time to get back into the market.  The green trend line followed the ascending lows from 1974 through 1999.  Its breakdown at the green arrow was right exactly at the market top in early 2000, an incredibly timely signal to get out.  Now we have a new red trend line connecting the descending tops from mid 1998 through the present.  The way things are going now, the RSI will probably get to that red line at about the same time that price gets to its horizontal resistance, in one to three more quarters.  And that will be a major decision point for the market.  If price and the RSI turn down at those lines, then the market will still be in the wide malaise that it’s been in since 2000.  But if they break out above their lines, then that will mark the start of a new major very long term secular bull market.

Second Chart – THE LONG TERM TIMEFRAME, Monthly bars

Now we’re back to my usual EquiVolume charts, and calculating the Midas curves with real volume data.

As I’ve noted before on this timeframe, price since early 2009 has been turning at major Fibonacci retracement levels.  Price has been in virtually a straight line advance since last July, and is now hovering just below the next Fib level.  A break above that level would be near term very bullish, with clear sailing on up to the 2007 top.  But a turn down from that Fib level would mark the end of this uptrend.

Third Chart – THE INTERMEDIATE TERM TIMEFRAME, Weekly bars

Here we see that in mid March, price pulled sharply down to and bounced strongly up from S2, and has gone on to close above the new R1.  This tells us that the uptrend that started last September is still alive and well.  Notice that the mid March low, which is the launching point for S3, the third curve in this hierarchy of Midas support curve following this uptrend, is still far above S1.  This means this uptrend continues to be highly accelerated, and thus we may fit a TopFinder (TF) to the mid March low, which I’ve done here.  The TF’s fit shows that it’s 42% done now, giving the projected horizontal location of its completion at the dashed purple vertical line.

If average trading volume continues about as it has been going, this tells us that in about three more quarters this TF will end, signaling the end of this uptrend.  Now look back at the first two charts here and their discussions.  Both of them are looking for a major market decision point in one to three quarters from now, and this TF is supporting that outlook.  This intermediate term TF is giving us the measuring tool for the extent of the run up to the major resistance at around the mid 1550s.

Fourth Chart – THE SHORT TERM TIMEFRAME, Daily bars

Here we see a very strong, essentially straight line rise from the mid March low, with no pullback from which to launch a new Midas S curve or to which to fit a TopFinder.  This means we are in the early phase of a very strong up trend.  There isn’t anything more to say about this chart.

^GSPCqtly

^GSPCmnthlyShow

^GSPCwkly

^GSPCdailyShow

Post to Twitter Tweet This Post

Print
Category : David Hawkins | Blog
17 visitors online now
3 guests, 14 bots, 0 members
Max visitors today: 50 at 11:19 am UTC
This month: 50 at 05-19-2012 11:19 am UTC
This year: 58 at 03-01-2012 05:02 pm UTC
All time: 236 at 04-07-2011 02:41 pm UTC