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Markets in Profile

Book Review: Markets in Profile, Dalton, Dalton & Jones, Wiley 2007

Reviewed by Donald Jones, CISCO Futures, February 26, 2007
* Copyright Donald L. Jones, CISCO Futures 2007



History: Steidlmayer, Dalton, CISCO and the Profile


1960's - 1970's - 1980's: J.P. Steidlmayer was a floor member active in the grain pits starting in the 1960's and developed his ideas of the Market Profile in the 1970's, it appears. He said it came about because he was generally profitable 20 days of the month, but gave back a disproportionately large amount the other two days. His studies led to the Market Profile.

1984-1985 Steidlmayer and CBOT announces the CBOT Market Profile, a new way of analyzing futures markets using value (market generated data) in place of price. The data base that supports the methodology is cleared volume, broken down by type of member, in the form of the Liquidity Data Bank (LDB). CBOT published a manual, CBOT Market Profile, 1985, setting down the rules. It defined the CBOT Market Profile as "not a new trading system, it is an information service that can provide traders with a greater knowledge of market activity during the trading day than ever before".

1984 Jim Dalton learns of Steidlmayer's Market Profile methodology, sponsors Steidlmayer/Koy 1986 book, Markets & Market Logic (for $10,000); becomes very familiar with the Steidlmayer rules, forms Dalton Capital Management, publishes with co-authors of his son and mine, Mind Over Markets (1991). Probably (my opinion) the best book on profiles ever written and probably the most popular, in terms of units sold, of all futures trading books.

1985: CISCO sells LDB data for CBOT, works closely with Steidlmayer/Koy Market Logic School in supplying data for their students/clients.

At CISCO we were managing money (from Dec 1972). While overall profitable, our channelized moving averages (Modified Keltner model) showed larger and larger equity swings as the markets grew. We hoped to develop a value based model to replace it. The equity swings (drawdown) kept getting larger. We ceased trading the channel model in 1988 (43% gain that year, 54+% average gain/yr for the 17 year period) with no value model to replace it....

Our work with the LDB/Market Profile uncovered a number of problems for traders:
1. Value Area and profiles came from cleared (LDB) data, CBOT was the only
        source and that was an end of day clearing (available about 9 PM).
    a. Value was not calculatable for other markets at all
    b. Intraday value/information could not be found for any market, including CBOT since the
        CBOT TPOs (the profile part of 'Market Profile') came from cleared data CBOT released also about 9 PM

2. We devised the Tick-TPO, Meta-Profile from tick data (1987*)
    a. Now value was available for any market reporting ticks
    b. Intraday profiles are thus available for all markets
        *first published in Market Logic School Alumni Letter, April 13, 1987
        *later, in Stocks & Commodities Magazine, September 1987

3. Try as we might, we could not find a profitable trading methodology
    using profiles and the actual volumes reported in the LDB.

4. The culprit, we believe, is the high variability of the Profiles from day-day-day
    regardless of the condition of the market (balance or trend). We needed to know 'market condition'!

5. We subsequently developed the Overlay Demand Curve* from multiple days of profiles,
    finding Market Condition. This was the missing link*.
        *first published in The Profile Report Vol 2, Oct 1988 (Dalton Capital Mgt.)
        *Ch 4. Value Based Power Trading, Probus, 1993

I had observed Jim Dalton reading markets (parsing the profiles) on the fly. His grasp of profile nuances was impressive. His approach to market analysis was holistic in the sense that he could rapidly employ various elements of profile logic (rules) to gain an understanding of current market action. Since our work at CISCO is more quantitative, I approached Jim with the idea that CISCO and he work together in melding our two approaches.

We cooperated on a rule based model for several months late in 1998 and early 1999, as I recall. The project did not work out, in part because of lack of communication between right brained and left brained people. Also, probably neither Jim nor I had the grasp of market behavior that we have now.

So much for history and so much for any bias you may impute to this reviewer.


Review of Markets in Profile


I am going to employ a somewhat stream of conciousness, sometimes pulling a phrase from the book, sometimes elaborating, including my opinions. In this review I will endeavor to present (translate in some cases) the work of the authors. Consequently, this review will be much more detailed than most book reviews. Value methodology (again my opinion) is the only way the average trader can learn enough to trade successfully. As the authors state many times one way or the other, detail is the key. You must learn to read, to understand the market generated information from all traders, collectively.

Information/discussion/argument that comes from me will be prefaced by 'Comments:'. Any errors or misrepresentations of the authors' works are solely mine and may be corrected. You might find it worthwhile to track this review as you study the book. Jim Dalton is developing a website, (www.marketsinprofile.com?) that will continue the work reported in this book.


For those of you with a short attention span we can jump to the conclusion:
If you do not have Mind Over Markets, buy it; Markets in Profile also belongs in the bookcase of all traders. You do yourself a great disservice if you do not read and UNDERSTAND both books. When you finish the new book you will appreciate Table 4-1, pg 192, in the first book.


As the authors state repeatedly throughout the book, they take a holistic, intuitive approach. Our CISCO methodology is analytical, scientific and built on experimentation. These divergent ways of looking at the same phenomena offer the trader a deeper understanding of markets than either can singly.


Book to printer around August 1, 2006, final October 25, 2006
xi Markets are rational, people are not
xii Taking advantage of the fact that people are irrational in predictable manner
    Who is this book for? Todo el mundo! If you trade, UNDERSTAND value.
xiii Timeframe diversification (5 timeframes based on trader intent)
xiv Market Generated Information: defined/explained on page 19
xvii Dalton firm sponsored Markets & Market Logic 1986
xviii Holistic theory for market understanding

CH 1 The only constant: Change
"Addressing across all time frames how change occurs"
Change is in the wind: paradigm shifts, multiple timeframes, relative
performance (funds), absolute performance (hedge funds, public traders),
volatility in consolidating markets greater than in trends.
Comment: this depends on the definition of volatility and consolidation. Volatility is usually defined to be the variation of the price range (on a daily basis for economists, on a 30 minute basis for profiles).

Pure,Unbiased Information: Market generated information: comes directly from the market itself
We are currently in an equity bear market (peak in 2000)
Market organization/structuring using CBOT Market Profile Fig 1.4, 1.5
Asymmetric opportunities introduced, Fig 1.5
Simple: price and volume move over time to facilitate trade in pursuit of value
Traders greatest adversary = self
Comment: We are reasoning beings, not rational, herd animals, egotistic and prone to the errors of wishful thinking.

CH 2 Information
Traders (5 types) are 1) innovators, 2) early adopters, 3) early majority, 4) late majority or 5) laggards---these will be tied into various timeframes
Fundamentals: must viewed in context, information hard to correctly weigh. Investors 'predictably' irrational. Markets (irrational or not) are: sum total of actions of all its individual participants and disciplines and timeframes.
Comment: fundamental information is the broker's mainstay. One who can speak knowledgeably and at length on market fundamentals has a better chance of getting a customer. As the authors point out, fundamental information is not a whole lot of help in trading decisions.

Predictable irrationality:
Example: Bullish at top, bearish at bottom
Short covering rally ==> most bullish at top
Long liquidation drop ==> most bearish at bottom
Market Generated Info: Market Profile allows you to observe the structure of market as it unfolds,
"Market Profile is not a trading system, nor is it predictive" but does define structure and offers timeframe information
Auction: made up of: price, volume and time; price is advertising mechanismsm
Fair Value: Different for different timeframes, normal distribution idea, reversion to the mean (balances only)
Comment: Dogma of Market Profile is the bell shape of the profile, which is rarely true (and not necessary*). The bell shape reasoning in Steidlmayer's work led to the definition of value (central 70 percent of volume = +/- one standard deviation). At best, the bell shape appears only in balanced, congesting markets.
*CISCO website, References: Auction Market Value Theory Sep 2005

Market Profile Fundamentals: A bell curve with the half-hour bars (segmented auction) demonstrates flow within a day. May visualize the completion of the profile before eod (if knowledgable enough)
Longer time frame profiles (multiple days for viewing intermediate auction)
Comment: 'Multiple days' (Overlays) is the 'missing link' CISCO found that Overlays supply the needed information on market condition*
*CISCO website: Overlaybkg.html

Value area defined as including central 70% of TPOs
Comment: The value area of the Market Profile is defined as the central 70% of cleared volume in the CBOT publications*. The Meta-Profile or Tick-TPO Profile in the CISCO publications defines value as the central 70% of TPO counts. The TPO Value-Area calculation appears in Mind Over Markets (p333) without attribution to it's source (CISCO) and without pointing out that without it, value could only be calculated for CBOT markets (the only source of cleared volume).
*Discussed in detail on CISCO website: www.cisco-futures.com /marketprofile_history.html

Composite profile Fig 2.4 Nov 21 - Dec 29, 2005 shows long term movement
Comment: Fig 2.4 is often called a 'composite or longterm' profile. You can see the TPO letters, which serve no purpose but to clutter the display. An Overlay of the same period is cleaner and more to the point, since there are rules for defining/measuring balances: Compare the below Overlay with Fig 2.4. Overlay methodology is quantitative, defining balance limits (ULIM and LLIM and a value region) which alerts a trader to a change in market condition (balance to trend on breakout).

        SP 20051121 - 1229: 
          COMPRESSION: PRICE = 5, TPO = 2

        POC: 126550 193  VA: 127680 126400  
        OVERLAY         LIM: 128350 125950

          1 128470    2  ++
          3 128450    2  ++
          8 128400    2  ++
         13 128350    7  +++++++  Upper Overlay Limit, ULIM
         18 128300    7  +++++++
         23 128250   12  ++++++++++++
         28 128200   13  +++++++++++++
         33 128150   15  +++++++++++++++
         38 128100   17  +++++++++++++++++
         43 128050   17  +++++++++++++++++
         48 128000   21  +++++++++++++++++++++
         53 127950   25  +++++++++++++++++++++++++
         58 127900   31  +++++++++++++++++++++++++++++++
         63 127850   30  ++++++++++++++++++++++++++++++
         68 127800   35  +++++++++++++++++++++++++++++++++++
         73 127750   32  ++++++++++++++++++++++++++++++++
         78 127700   35  +++++++++++++++++++++++++++++++++++
         83 127650   35  +++++++++++++++++++++++++++++++++++
         88 127600   43  +++++++++++++++++++++++++++++++++++++++++++
         93 127550   38  ++++++++++++++++++++++++++++++++++++++
         98 127500   31  +++++++++++++++++++++++++++++++
        103 127450   24  ++++++++++++++++++++++++
        108 127400   26  ++++++++++++++++++++++++++
        113 127350   28  ++++++++++++++++++++++++++++
        118 127300   33  +++++++++++++++++++++++++++++++++
        123 127250   30  ++++++++++++++++++++++++++++++
        128 127200   35  +++++++++++++++++++++++++++++++++++
        133 127150   36  ++++++++++++++++++++++++++++++++++++
        138 127100   41  +++++++++++++++++++++++++++++++++++++++++
        143 127050   34  ++++++++++++++++++++++++++++++++++
        148 127000   35  +++++++++++++++++++++++++++++++++++
        153 126950   37  +++++++++++++++++++++++++++++++++++++
        158 126900   37  +++++++++++++++++++++++++++++++++++++
        163 126850   30  ++++++++++++++++++++++++++++++
        168 126800   31  +++++++++++++++++++++++++++++++
        173 126750   34  ++++++++++++++++++++++++++++++++++
        178 126700   27  +++++++++++++++++++++++++++
        183 126650   37  +++++++++++++++++++++++++++++++++++++
        188 126600   46  ++++++++++++++++++++++++++++++++++++++++++++++
        193 126550   48  ++++++++++++++++++++++++++++++++++++++++++++++++
        198 126500   39  +++++++++++++++++++++++++++++++++++++++
        203 126450   27  +++++++++++++++++++++++++++
        208 126400   23  +++++++++++++++++++++++
        213 126350    8  ++++++++
        218 126300    5  +++++     Lower Overlay Limit, LLIM
        223 126250    7  +++++++
        228 126200    8  ++++++++
        233 126150    5  +++++
        238 126100    5  +++++
        243 126050    6  ++++++
        248 126000    5  +++++
        253 125950    6  ++++++
        258 125900    4  ++++
        263 125850    2  ++
        268 125800    1  +
        273 125750    1  +

        The skips in the numbers on the left margin show the price jumps from the 
        compression. POC and VA are the point of control and value area, from Tick-TPOs.
        Overlay LIMits define the balance region.

        An important point on Fig 2.4 and the above is that both used data
        prior to the rollover date of Dec 8. This markedly affects the display;
        (volume on Nov 11 is 100, on Dec 8 it is 42239). If the correct data
        had been used the shape of the Overlay would have been more elongated
        and the low would have been 124880. Overlays and other analyses that
        cover more than one delivery require some sort of data modification
        at the rollovers that continues on (and on, if a third contract or
        more are presented). e.g. the open for the Dec contract on the 8th
        is 125780, for the Mar 06 it is 126380. For a discussion see*
        *Jones & Strahm, Futures Magazine Nov. 1983

Demystifying Market Behavior:
Market Profile captures structure of market, entirely process driven:
You must be creative, flexible and innovative to use the Market Ggenerated data
You can gain an edge through market understanding (Steidlmayer's mantra)

CH 3 Timeframes
Requires holistic market understanding, various timeframes may coexist
Important: volume distributions among timeframes, ==>potential for future directional movement. All markets have multiple timeframes.
Breaking Down Market Timeframes
Identifying Timeframes: scalper, day trader, short-term (day+), intermediate (swing), long term (funds). You need to know your timeframe.
who is buying, who is selling (there are clues)
Again, you need to learn what your own timefame is!
Comment: Steidlmayer developed profile methodology in markets vastly different from those of today, which are deeper, faster and less expensive to trade. Also there are substantial differences in the electronic markets relative to the floor (DJ vs YM for 20060517).
        In the table   I=locals, II=commercials, III=members and IIII=public
                              I         II           III            IIII
         Pre YM
        DJ on 20021204    46.5%       3.3%          2.1%           48.0%

        DJ on 20060517    58.0%       1.3%          3.7%           36.6%
        YM on 20060517    20.0%      52.6%          0.6%           28.4%

        On 20060517 the YM has 16 times the volume (cleared) of the DJ.
        There has clearly been a paradigm shift in trader types that may well affect 
        the classical timeframes. e.g. What is the timeframe of the YM commercials?

CH 4 Auctions and Indicators: Information and timeframes ==> transparency
Isolation of key indicators from the auction process
Price must be understood within its context: old business (short covering),
new business, where market is attempting to go.
Price (volatile), time (constant), volume (less volatile)
Search For Value: auction process
Pattern Recognition (requires a receptive, open mind)
Concept Review:
Structure:
from profile from 2 way auction process, observation: difference between price and value
Auctions: prices far from value obvious, regression to mean
Structure developing in real time: project to EOD
Market Generated Indicators: VA, previous VA, IB (initial balance), RE (range extension)
RE can help gauge buyer/seller strength
Variance-from-mean volume: less likely to return if move away on high volume
Applicable to all timeframes
Comment: CISCO Overlays in the Visual Graphic measure balance on several timeframes or groupings.
          timeframes, i.e., groupings of 5, 10, 15 and 20 days

          Balance Group       05   10   15   20
               20060310        x    x    x    x   in balance in all timeframes

                   0322        x    7             5 day and 7 day balance
                   0323        x    8             etc.
                   0324        x    9
                   0327        x    x
                   0329        x    x   12    x
                   0330        x    x   13    x
                   0331        x    x   14
                   0403        x    x    x   
                   0404        x    x    x   16
                   0405        x    x    x   17
                   0406        x    x    x   18
                   0407        x    x    x   19
                   0410        x    x    x    x

                   0424        x    x
                   0425        x    6
                   0426        x    7
                   0427        x    8
                   0428        x    9
                   0501        x    x
                   0502        x    x   11
                   0503        x    x   12
                   0504        x    x   13

                   0524        x

                   0530        x    9
                   0602        x    x    x   16
                   0605        x    x    x   16
                   0606        x    x   14   17
                   0609        x    x    x    x

             Four groups are posted (5, 10, 15 and 20 days) and each group
             is subdivided by day. On Mar 22 there was a 5 day balance from
             the first group and a 7 day balance in the 2nd (10 day) group. As the
             balance continued building day by day, the 3rd and finally the
             4th group were completely in balance by Apr 10. The breakout
             came on Apr 11 and the market transitioned into a down trend.

             The next 5 day balance appeared on Apr 24, 8 days post breakout.
             Overlay balances provide a sensitive guide to market condition
             on several timeframes.

Attempted direction again (assessment often difficult), but a trend is clear
P55: Takes time and dedicated practice, use both sides of brain
Right brain: images, models
Left brain: words, numbers
Symmetrical profile ==> symmetrical risk & reward (close to efficient)
Nonsymmetrical profile ==> asymmetrical ==> imbalance ==> tendency
Trending: all timeframes in concert Weighted to one end or other (limited timeframes active)
The Art of Visualization (important for holistic approach) Fig 4.9 b formation, long liquidation, done by D period (9:30 to 10)
P57: understanding only through extensive observation and study

CH 5 Long Term Auctions:
Indicators never in isolation, occur within the complex, everchanging context of which they are a part--likewise the trading process is complex
Auctions in Action: A treasury refunding auction example (use of concepts)
Compound Auction Process: Must be ready for change
Ebb and Flow of Balance: Change not on a dime, S&P Bar with structure
Where do Trends End & Brackets Begin: Not a science: Signs of transition: Near extreme of bracket, check volume with move P65: It takes time to acquire this skill: recognizing balance is "perhaps the most essential element of successful trading".
Comment: The CISCO Overlay Demand methodology that built the table in the previous comment is calculated daily for all markets. Since a 20 day balance contains 20 sequential days of balances, you would expect the shorter balances to predominate. And you would be right. On a typical day, Jan 18, 2006 there were 12 in the 5 day group, 23 in the 10 day group, 10 in the 15 day group and 10, 20 day balances. So, up to 20 days, lists of balances are readily available. A sample is shown in the comment in chapter 2.

Clarity in the Maelstrom: Keeping track
Explanation via bar chart (long term)--crucial long term perspective
Profiles are purely liquidity driven ==> captures complex relationships
Big Picture--long term bar charts & long term profiles
Auction too high/low to go far enough
Price is an advertising mechanism, only has to be fair in day timeframe
Prices not necessarily equal: volume is arbiter
Comment: As mentioned in the earlier comment on long term Overlays or long term profiles, futures expirations and rollovers limit these Overlays to about three months. In the case of cash markets, like the cash S&P, that limitation is removed.

Asymmetric Opportunities and Risk
If markets are efficient, there is little chance of beating them, no forecasting, Value trading is not forecasting. Rather depends on risk analysis in e.g. asymmetric markets.
Comment: Auction markets are proven to not be efficient--the economic model of Sharpe and Markowitz is discredited because markets are demonstrably not gaussian. For a discussion see, on CISCO website, Auction Market Value Theory: amvt_theory.html. Do not celebrate too soon, markets are complex and there is no general distribution function. That means that most technical analysis does not work (95% of new traders (who lose) can attest to that). The path to consistent winning is 'market understanding' (who said that?) and so you must learn markets as the authors of Markets in Profile are telling you.

Long Term Strategy: Perspective on Performance (sector performance varies). Be careful to keep objectivity, must know context
Assembling the Big Picture: Context within Context
No set defn of long-term, intermediate-term, short-term Uses long term bar chart for orientation

CH 6 Intermediate Term Auctions
Convergence: bracket to trend or trend to bracket ==> increased vty
Convergence and Bracketing: US stock market ==> bracket May 2006?
Defining the Intermediate Term: Distance traveled, not length of time, has several smaller balances
Transition from Bracket to Trend: Bracket box on bar chart: Bracket: Buyers and sellers agree on value
Transition from Trend to Bracket: Volume dries up, or excess created (fast)
Excess (fast, low volume) may have gap ==> paradigm change
Convergence of Intellect & Emotion (a change of mind)
Accelerate the Learning Process: the Only constant is change
Natural science ==> permanence, market analysis ==> change
Proficient to Expert ==> a lot of experience needed
Comment: Science is prone to change, too. Think plate tectonics: yes the continents are moving. Science is collection of data, analysis, developing an explanation, testing it, raising questions, collecting more data, etc. The authors are actually doing just that, explaining their data, refining their ideas (losing money is a strong motivator) and continuing to learn. The CISCO Auction Market Value Theory, mentioned earlier, is a case of using market data to define and describe auction markets. One finding is that standard technical analysis (moving averages and oscillators) is not supported by the market, i.e., the market has waves but is not cyclic in a math sense.

Prelude to a Sea Change: Securities market May 2006
Bar chart balance: Trade discussion for money managers Fig 6.8: Three balance periods from Nov 2005 through May 2006
Comment: Fig 6.5 is a classic run-pause example. CISCO research leads us to believe market run-pauses are fractalish. The weekly bars show a picture seen as well on a daily chart, on 30 minute bars and even 5 minute bars. If correct, this can be a significant analysis tool for all timeframe traders.

Hear the Bells A-Ringing
Wall Street projections on earnings wrong May 11, 2006 Market structure important, Wall Street prognostications are not
Countertrend Auctions: more May 5, 2006 ==> May 11 - Jun 13 -8% market structure again
Comment: The authors illustrate a counter trend (Fig 6.9) with a daily bar chart. We know after the fact that the few days May 8 - 10 were on the precipice, with May 10 being the start of the fall. What could you know of market condition prior to the drop? A 2 day Overlay of May 8 - 9 gives you a good picture.

           SP 20060508 - 0509: 
             COMPRESSION: Price 2, TPO None

           Meta-Profile    POC: 132880     VA:  132970 132750 
           OVERLAY         LIM: 133070 132670

             1 133080    2  ++
             3 133060    4  ++++         ULIM
             5 133040    5  +++++
             7 133020    8  ++++++++
             9 133000    9  +++++++++
            11 132980   10  ++++++++++       VAU
            13 132960   10  ++++++++++
            15 132940   12  ++++++++++++
            17 132920   13  +++++++++++++
            19 132900   14  ++++++++++++++
            21 132880   18  ++++++++++++++++++
            23 132860   14  ++++++++++++++
            25 132840   16  ++++++++++++++++
            27 132820   16  ++++++++++++++++
            29 132800   16  ++++++++++++++++
            31 132780   13  +++++++++++++
            33 132760   10  ++++++++++
            35 132740    8  ++++++++         VAL
            37 132720    7  +++++++
            39 132700    6  ++++++
            41 132680    3  +++
            43 132660    2  ++           LLIM
            45 132640    1  +
            46 132630    1  +

            The Overlay could have positioned you perfectly for the coming break.
            This is a case where the longer one-day bars set the stage while
            the short term Overlay gave the entry points. Cherry picking?
            No. The authors picked this example, not the reviewer.

            Big moves are fairly rare, but why not be ready for the next one?
            As I write this review on Tues, Feb 27, 2007, we just experienced
            an earth-shaking drop on the SP. The Overlay from the CISCO Visual
            Graphic coming into the day (as of Monday close) gave exactly the
            same sort of positioning (breakout at 2 AM, Tues) as discussed above.

              SP 2 Day Overlay (2007 Feb 23, 26)
              1 145830    1  +
              4 145800    1  +
              9 145750    1  +
             14 145700    1  +
             19 145650    2  ++
             24 145600    4  ++++     ULIM
             29 145550    6  ++++++
             34 145500    8  ++++++++
             39 145450    9  +++++++++
             44 145400   10  ++++++++++
             49 145350    9  +++++++++
             54 145300   10  ++++++++++
             59 145250   13  +++++++++++++
             64 145200   12  ++++++++++++
             69 145150   11  +++++++++++
             74 145100    8  ++++++++
             79 145050    5  +++++    LLIM  Market broke out down about 2 AM Feb 27
             84 145000    2  ++
             89 144950    3  +++
             94 144900    3  +++
             99 144850    2  ++
            105 144790    1  +

The Quest of do Better than "Normal": Why fund managers should 'listen up'
The Difference a Few Points Makes: Why fund managers should 'listen up'

CH 7 Short-Term Trading
Review of Long-term, Intermediate, Short, Day, Scalping
Trader Dev. Spectrum: Attention level increases as time shortens
Must learn to discern 'price' from 'value'
Price advertises opportunity, must know 'price in context'
Must know yourself, your timeframe
Analyzing Short Term Markets (State of mind, no exact time 1 or more days)
Use yesterday activity (Fig 7.1), Day 1 and Day 2, for Day 3
Day 2 is balance, Day 3 explores above, fails, falls, late balance again
Day 4 traded within Day 3 late balance, then broke out and ran up
This is an example of an asymmetric opportunity

Common Mind Traps
Watching price move without examining volume
Predicting fails, context changes, formulations must change with:
Two keys: being in right market at right time,
and having right skills for the current market cycle
When and Where to Look for Short Term Trades
Visualize completed profile prior to end of day
Everything is always different
Opportunities Around Intermediate Brackets
Breakouts from balance Balances from bar charts
Fading bracket extremes
Runup (down) stalls from lack of volume
Major breakouts all timeframes
Technical Indicators
Behavior around key indicators because people follow them
Tech Anal fails to include time and volume
Word to wise: higher prices on declining volume spells trouble
Your Own Worst Enemy, Your brain
Neuroeconomics: psych, econ, neuroscience ==> how we make choices
Helps understand the difficulty of confusing price and volume
Profile structure helps maintain balanced perspective
Cognitive dissonance: inconsistency between ones beliefs and actions.
e.g. Difficulty in pulling the trigger
Game: series of meaningful choices (must understand the trading game)
Comment: An illustration of cognitive dissonance can be seen in combining several days of profiles, as in Fig 7.3. It is easy to see balance from H period in the 1st day through C period in the 5th. Your eye is scanning across. If you pull up overlaybkg.html on the CISCO site; at Overlay Development, Building an Overlay Demand Curve, you will see 5 days of profiles that are clearly 4 days down followed by 2 days up. The Overlay just below the profiles shows a very well balanced market. Those 5 profiles gave the impression of a down trend to your eye (4 days down in a row) but linearly combining all five gave a different picture, a balance. How did we get 6 days of analysis out of 5 profiles? We simply looked at the previous day in determining direction.

Seeking the Exceptionally Tasty Patterns
Good trades often responsive, fading the most recent move
Countertrend auctions: Fig 7.5 Jun 2006: SP 8% drop then recovery
(May 24) Nov 2005 - May 2006 buying every break was rewarding
Contradictory info may come from different timeframes
Comment: Starting from the information in Fig 7.5 we may be able to add information from the more detailed Overlays.
          The period in the box in Fig 7.5 starts with a pause at the top.
          here is what an Overlay of that two day pause looks like:

          SP 20060508 - 0509: 
            COMPRESSION: Price 2, TPO None

          Meta-Profile    POC: 132880     VA:  132970 132750 
          OVERLAY         LIM: 133070 132670
             (Overlay limits here are based on 3 TPOs)

            1 133080    2  ++
            3 133060    4  ++++         ULIM
            5 133040    5  +++++
            7 133020    8  ++++++++
            9 133000    9  +++++++++
           11 132980   10  ++++++++++       VAU
           13 132960   10  ++++++++++
           15 132940   12  ++++++++++++
           17 132920   13  +++++++++++++
           19 132900   14  ++++++++++++++
           21 132880   18  ++++++++++++++++++
           23 132860   14  ++++++++++++++
           25 132840   16  ++++++++++++++++
           27 132820   16  ++++++++++++++++
           29 132800   16  ++++++++++++++++
           31 132780   13  +++++++++++++
           33 132760   10  ++++++++++
           35 132740    8  ++++++++         VAL
           37 132720    7  +++++++
           39 132700    6  ++++++
           41 132680    3  +++
           43 132660    2  ++           LLIM
           45 132640    1  +
           46 132630    1  +

           This is a pretty symmetrical balance, skewed a little to down. 
           You know to be alerted for the upside at 132980 (breakout from value)
           with confirmation at 133080 (breakout from balance). Alerts for
           downside price movement (132740, confirmation at 132660).


           Lets look at the 3 day Overlay, now including May 10.

           SP 20060508 - 0510: 
             COMPRESSION: PRICE = 5, TPO = 2

           Meta-Profile    POC: 132770  VA: 132960 132660  
           OVERLAY         LIM:             133070 132400
             (Overlay limits are based on 3 TPOs)


             1 133080    2  ++
             2 133070    4  ++++      ULIM
             4 133050    6  ++++++
             9 133000    9  +++++++++        VAU
            14 132950   14  ++++++++++++++
            19 132900   16  ++++++++++++++++
            24 132850   21  +++++++++++++++++++++
            29 132800   24  ++++++++++++++++++++++++
            34 132750   23  +++++++++++++++++++++++  Breakout VAUy
            39 132700   18  ++++++++++++++++++
            44 132650    9  +++++++++        VAL     Breakout LLIMy
            49 132600    4  ++++
            54 132550    3  +++
            59 132500    3  +++
            65 132450    3  +++
            69 132400    3  +++       LLIM
            74 132350    2  ++
            79 132300    2  ++
            84 132250    2  ++
            89 132200    2  ++
            94 132150    2  ++
            97 132120    1  +

            The two breakout points (132970 for VAL and 132670 for LLIM were
            hit early (gap) in a day of wild trading that ended closing at
            about where it opened. But the freefall had begun in earnest.


Confidence market exhibiting: att dir, VA location, Shape
All Prices and Opportunities are not Equal:
Short timeframes require speedy trade placement
Fig 7.8 Day 4: aggressive B??, clear directional info by C period
Then balance (long liquid P shape) thru M period, then break down, low vol
Elongated profile down = trade facilitated on down side
Ongoing Forensic Investigation: Spike on Day 4:
Low nighttime volume, cannot tell if excess
Rule: trade with directional action following a neutral/balance day
Day 6 (Jun 1) is trend (up) day
Day 7 balance, higher value, low traded twice (no scarcity)
Day 8 trend down, stronger than Day 6 -- more significant
Therefore Day 7 is the high for the mkts 2nd countertrend after big break
Day 4 trend day down b formation, not bode well for continuation
Looking for the All Important Reference Points
Use pit session data. Gaps, prior low (high), expected behavior
Use bar charts, profiles
High stress level
Day 8 is trend day down, next two days balanced below the spike center:
This is continuation (down). Day 10 probing down spike, Day 11 lower value, Day 12 lower, Day 13 is trend day down with late spike, Day 14 is lower but balancing, day 15 is a balanced day. Day 16 reversed to up with a gap.
If the market is struggling, ask why.
Never Be A Laggard: In CH 2 laggards are the last in. The action is over but they see all the move and finally jump in.
Comment: The Dot-Com bubble began in 1996 and ended in the crash of 2000. Many fund managers recognized it as a bubble and stood aside. Many lost their jobs because those funds in the bubble profited hugely, year after year. Some managers finally gave up and got in. Some just in time to experience the meteoric fall. These were the laggards the authors described.

A Golden Opportunity: Speculation Dec 2005 - Jun 2006 P130
Gold ran up from 5465 on Mar 10, 2006 to a high of 7320 on May 12 then back down to 5595 on Jun 14 (Jun contract) with heavy volume there was no timeframe differentiation
No prolonged balancing period (extreme speculation)
Balance periods create a sort of 'market memory', previous balance areas provide a level of support (resistance). It is the 'structure' of the market.
Comment: Statement P131 gold move of 580 to 750 without prolonged balance True for bar chart viewing, but between Mar 10 and May 12 there were 21 separate days with a 10 day balance. From May 11 through June 9 there were 10 occasions of 10 day balances.

Fade the Extremes, Go with Breakouts
Balanced markets offer good short-term trades
1) Fading an auction that reaches an extreme and fails to continue
2) Going with a breakout from the balance
Fig 7.15 shows down breakout from a four day balance of Merrill Lynch
Fig 7.16 is a four day overlay of sFig 7.15
The Expert Reasons Contextually
Expert stays flexible where the novice thinks concretely:
19 entry laundry list of items that may affect performance
Comment: It is well known that our minds cannot parse out a lot of complexity. There are many things that affect prices and value, each of which has different effects at different times. As the authors point out in many places, the profile tends to bring all the variables together. The profile offers much information about the current mood of the market, as the authors have shown and will go into quite a lot more detail in the next chapter. The authors tend to find market condition, as evidenced by balance or not, from one or multi- day bar charts. The reviewer feels that the multi-day profile, the Overlay, is a superior tool for the market condition job. Some evidence for this is in the comment on Fig 7.5 above, and much other research posted on the reviewer's internet page www.cisco-futures.com.

CH 8 Day Trading is for Everyone
Everyone is a day trader at points of entry and exit
No such thing as noise: Steidlmayer says every trade occurs to satisfy some condition of the market
If no noise, the trader is responsible for every outcome
Comment: Jim Dalton recounts his disagreements with Fischer Black about noise. Black was an extraordinarily gifted mathematician who developed the Black-Scholes option pricing model. The reviewer agrees with Black. In an ideal environment (no errors, no outtrades, perfect clearing, perfect electronic handling and transmission and perfect decomposition of the encoded received data) Jim has an argument. The reviewer deals with market data constantly and can affirm that it contains "noise".
What is a Day Trader to DO
Need to know: what your opponents are doing and decide to join or not This entails figuring out the market activities on all timeframes
Day Trading 1: Go home flat, use large quantities of technical info Subset: scalpers
Day Trading 2: Other time frame (long time) trader entry or exit
Do ones homework. Do not trade in front of economic releases
Analyze previous day volume
Identify excess and gaps
Past balance ranges (from inside day on)
Prominent POCs
Identify reference points
What You Don't Do May Be more Important Than What You Do
The shorter the timeframe you trade the more important fluid intelligence
The Real World In Action
Volume analysis ==> inventory positions of other day-traders
T-bonds through July 7, 2006: volume is not increasing ==> change underway
b formation Jul 5 suggests buy on Jul 6
The Big Picture: 38 items, driving forces
Top Down
Understanding the key driving forces in a market: Remain flexible, driving forces may change
Lack of Conviction
Directionless market. If volatile enough can be traded (day traders)
Not for trend traders. If longer term conviction, view a short term directionless market as opportunity for longer directional trading
Comment: Work at CISCO has led us to believe the market is fractalish. Each fractal timeframe (long, short, very short) appears to have its own run-pause signature, although we have not done enough research to know how to break it down. The point is that our work tends to reinforce the authors' approach toward conviction at more than one timeframe.
Flight to Safety
Natural disasters, terrorist attacks ==>flight to quality rally
Balances, etc., remain good reference points
Comment: The London subway blast of July 7, 2005 offers an example. From around 5 AM through the open of the YM (mini DJ) the market got as low as 10142 (previous center of value was about 10330). The close on July 7 was within the previous day's value. Interestingly, the next day, July 8 offered value traders huge opportunity. Read about it on the CISCO website at meta_londonblast.html.
Inventory Balances
If market becomes extremely active in the day longer timeframe info may trump the day time-frame.
If trading range continually increases, longer timeframes may dominate and then the rules change
Correction of Inventory Imbalances
Inventory imbalance: market repeatedly attempts to go lower and Excess marks the end of one auction and the start of another
If cannot establish excess ==> short covering rally to allow long term inventory come into balance
Fig 8.7 The beginning of an intermediate term rally Jul 6 - 14 2006 Short covering all the way up
Comment: There is data for CBOT LDB futures that gives the buy/sell statistics. These data offer a potential look at the inventories of the four classes of trader: locals, commercials, members and the public. The reviewer would be interested to see how the authors would incorporate the LDB B/S data into their analysis. Here too we are met with the original LDB problem of a good idea but limited data. We solved the CBOT Market Profile limitation with the CISCO Meta-Profile. Unfortunately, we have no answer for the lack of B/S data from other exchanges. Use of the B/S data is limited to CBOT cleared data.

Trend Traders Trap
Old business vs new business e.g. Short covering pushes price up: should lighten up, etc. sets a restart, not the beginning of a trend (old business)
Market Condition: Bracketing or trending
Change from one to the other rearranges your priorities, Timeframe important (e.g. short-term trend, long term bracket Excess marks the ending of one auction, beginning of another).

Again, balance areas from bar chart: by defn are visual. Stops can be found beyond the limits (extremes) ==> false breakout; Must know context of the move

Yesterday's Trade
1) What was market 'attempting' to do yesterday, how successful?
Ex 1. Fig 8.10: Prev day is trend up. This day opened near high & balanced. Price lower, value higher, see balances in Fig 8.11
Ex 2. Fig 8.12: b formation, ==> multiple day low, mkt goes for stops, with some below the lows of past few days. If prices had gone too low there would be single prints, so some strength Opportunity tomorrow: sell above the b, buy below the b
Ex 3. Fig 8.13, 8.14: Gap down on 7/13 + elongation + decent volume + close near the low suggests downward continuation tomorrow Context from checklist on P170. (Exhaustive--daunting)

The Market is Open: Kinds of openings
Open Drive: Opens and auctions aggressively in one direction High confidence Fig 8.15, 8.16 Cognitive learning when you transcend limitations of fixed defn. See elongation, value change being pulled by price
Open-Test-Drive Lower initial confidence, Fig 8.17, Fig 8.18 See elongation, lower (higher) value and price, etc. Think in terms of 'market confidence'
Open-Rejection-Reverse Fig 8.19 Rejection from single print (buying) tail Fig 8.20 Gradual, consistent rise ==>one way auction, one timeframe
Open-Auction No/little conviction Fig 8.21 Any conviction from open relative to previous day If outside prev range ==> out of balance ==> either direction ok
Advice: wait for directional conviction
Day Trader's Checklist
Review previous market
Review overnight market
Post expected opening, etc.
Opening: compare with yest, within or outside range, VA, up or down Relative to Expected: Identify 3 reference points
Prev high/low
Prev weekly high/low
Prev VA
Prev recent high/low trading range
Note kind of opening + what want to see to judge confidence
Is market in balance, out of balance
Is attempted direction, if any, supported by volume
Project remainder of day: elongated?, squat?, normal? unusual?
Estimate effort to move price directionally, inventory
Coming News announcement--expect volatility

Practice, Practice, Practice
Emotions drive ==> your risk is unique to you
Holistic insight has no bearing on how well you implement understanding
Top professionals are mentally prepared

CH 9 Profiting from Market-Generated Information
Certainty winning is not assured, but you can have the odds in your favor
Timeframe Diversification
Why not have a portfolio that is both long and short
Timeframe diversification is efficient use of resources
Shanahan portfolio has advantage of 5.44% over benchmark (since May)
All markets move both ways
Fundamentals are not enough
Push comes from 'behavioral' behavior
The New Paradigm
Prices not best estimate of true value
Markets in Profile offers a strategy based on a continual reevaluation of the risk of being long or short
Replacing a long held idea is painful and labor intensive
All decisions are made under some degree of uncertainty

Wrap Up: While this book addresses mostly standard profile operations, as enumerated by Steidlmayer, the approach is much clearer and better defined. The reader may question this statement, but only because the reader is not familiar with the orignal publications. There is much complication in market behavior (yes, complex means complex). Unraveling that complication to a useful degree is difficult and taxing, as the authors remind us. In the beginning of profile analysis the goal was to unlock enough knowledge, as Steidlmayer put it, to give the trader an edge. That is still a worthy goal and the authors are to be commended for moving us along the right path.

Does strictly profile trading work--or can one take the material in Markets in Profile and apply it directly to trading? In the reviewer's experience the jury is still out. The authors obviously believe the answer is yes. But the proof appears to be lacking. In the reviewer's opinion, the best path for the average trader is to use profile information as only one of the important elements in the design of a trading strategy. In order of importance, we would put 1) Knowledge of ones own attitude toward risk; 2) Knowledge of the exterior market condition as found by tools such as the Overlay Demand Curve, and then 3) Specific market details (the interior market) found from profile analysis.

For the future: As a money manager the reviewer was honest enough with himself to realize that he was in control only when the market was gentle, i.e. in nice long trends. When the exceptional happened, as in a couple of days of limit movement, he had no clue and his statistics on choices was about one in four (he guessed right only about a quarter of the time). He believes a principal reason for his success was diversification. We traded a portfolio of 24 futures, typically being in 5 or 6 at any one time. But we were ready to enter any of them when they made a move. So we often went with the flow without any idea of why. Diversification worked.
In this book, the authors present a methodology for learning very much about one commodity or equity. Clearly the book is speaking, in part, to fund managers. the reviewer, and no doubt fund managers, as well as many private traders, look forward to the next book; 'Markets in Profile for a Portfolio'. What about it, Jim?

        

         Rules of the Market: Implied from the text Markets in Profile

  Note: These rules are the interpretation of the text by the reviewer,
        Donald Jones. Any errors or omissions are Jones', not the authors.

Rule 0    Directional Performance Relationships (30 rules) Page 192,
          Mind Over Markets, Dalton, Jones & Dalton, Probus 

Rule P52  Rising price on increasing volume implies rising value
          Rising price on decreasing volume implies value neutral

Rule P52  Regression to the mean: Attempted breakouts on decreasing
          volume, likely that price reverts back to balance mean

Rule P52  Fig 4.6, back and forth trading ==> no attempted direction
          Fig 4.7, directional trading up ==> attempted direction up

Rule P55  Markets fundamental building blocks: price, time, volume

Rule P55  Nonsymmetrical profiles identify unbalanced markets
          a. In a trend, elongation in direction of trend
          b. In a balance, b or p formations (Fig 4.8, Fig 4.9)

Rule P65  New bracket forms on declining volume

Rule P70  Long term profiles (Overlays) show main distributions, their
          means and upper and lower cutoffs (limits in Overlay jargon)

Rule P74  Bracket develops when views of relevent buyers/sellers are aligned

Rule P74  In bracket odds of higher or lower moves about equal

Rule P79  Intermediate timeframe defined by distance traveled, not length of time

Rule P79  Price range of intermediate generally greater than short term auction

Rule P80  The wider a balance, the more likely several timefames involved

Rule P82  Bracket starts with 1) volume drying up, 2) creation of excess

Rule P85  Gap at end of auction opposite the recent trend reorders beliefs

Rule P85  Excess highs or lows comes with reduced volume

Rule P87  Skilled traders UNDERSTAND the patterns of the market's auctions

Rule P92  Breakout on high volume + close near high indicates higher prices are
          attracting more activity ==> auction expected to go higher

Rule P95  (Holding long) once market attempts and fails to auction above market
          highs, odds good that sellers will turn price down
          (Ditto for holding short)

Rule P96  Overlapping balances, low volume, poor volume distribution among the
          daily profiles and counter auctions at least equal to auctions with
          the trend---implies trend unlikely to continue

Rule P97  Major trends = long term, balances = intermediate term

Rule P97  Continuation: implied if the direction you are trading has better
          volume, progressive value-area migration and more elongated profiles

Rule P100 Must know your market and yourself

Rule P100 Most important skill: distinguish price from value

Rule P101 Analyze previous day activity to find good location for current day

Rule P101 Wider balance range acts as anchor (reversion to mean)
          Next day heavy volume may signal new direction

Rule P101 Price is advertising, markets response is the key

Rule P106 Intermediate or term: any breakout from balance
          Fade breakout if volume does not support breakout

Rule P113 After long sharp move, first countertrend probably not too strong

Rule P119 All rallies, initially include both short covering and new buying

Rule P119 Price spike: if spike on low volume, odds favor price reverting to mean

Rule P121 After inside day go with any directional auction

Rule P122 Short-term trader should trade in direction of trend

Rule P122 Trading on low (high) in several time periods, probably not a good low

Rule P141 Everyone is a day trader on the days they enter and exit

Rule P144 Beginning day traders might well let market develop for a while

Rule P145 Day traders should not trade in front of early economic releases

Rule P145 Know the reference points, let the market come to you

Rule P148 Like Rule P121: go with any directional move following a balance day

Rule P155 Excess marks the end of an auction

Rule P197 All decisions are made under some degree of uncertainty



      Key words
        Transparency
          Which timeframe is controlling, which is entering the fray
        context
          old business (short covering)
          new business, where market is attempting to go
          Context from checklist on P170. (Exhaustive--daunting)
        Conviction
          Strong move with increasing volume
          Strong rejection at excess tails
        Confidence
          Is a market move accompanied by increasing or decreasing volume
        Attempted direction
          Does the market try to move and fail, then try again
        Volume support
        Volume: which or what volume is used in 'volume support for a move'?  
        Profile shape, asymmetry measures
        Inventory
        Volatility
        Holistic
        Paradigm
        


        Typo P113 Fig 7.5 mentions Fig 7.2 ==> should be Fig 7.6?
        Typo P120 Fig 7.9, Day 2 ==> Day 4
        Typo P132 last line MER (Merrill Lynch) for Fig 7.15
        Typo P147 last paragraph, line 1  revels ==> reveals


      Error: P24 Value Area 70% of TPOs, method 2 pr above and 2 below
      Error: P24 Value Area = one standard dev ==> 2 std dev (+/-)
      Error: p25 Value Area summing (?TPOs?)
      Error: p43 value area 1 std dev (volume means TPO volume?)
      Error: p51 refers to actual volume for VA as earlier CBOT only
      Error: Bollinger Bands are actually the Keltner MA channel model


      Discrepancies
      Fig 8.2 June 30, July 3 and 5: poor agreement with LDB data U2 or U6
      Fig 8.3 July 5: same as above
      Fig 8.4 July 6 and July 5 does not appear to be valid, based on LDB data
      Fig 8.7 July 6 - 14 has some poor agreement with LDB data