CISCO Futures
1-303-306-1521 1-800 800 7227 Fax 1-303-306-1598
http://www.cisco-futures.com
dljones@cisco-futures.com
Value Trading: Overview and Qualifications for Short Course
CISCO Futures©
June 30, 2006
The goal of this article is to give you a guide to value based trading,
including the prerequisites for understanding the CISCO courses.
By value, we simply mean the price range that the bulk of buyers
(traders) will accept within a given timeframe (day, week, etc.). Value is
a price range, not a fixed number. Also, value is time dependent. Yesterdays'
value may not be the same as the average value for the week.
Value trading is the development of trading strategies based on value and
value change in both short and longer timeframes.
Many people think of the value analysis field as Market Profile, but
Market Profile is just the tip of the iceberg.
Who is Qualified, Who is Prepared to Learn Value Methodology
Before we get into describing value methodology, you need some idea of whether
our courses are for you. To take this significant step into market analysis,
you should already know something about trading; what futures are, how they
work and the risks as well as the benefits.
You are expected to have a general
understanding of the Market Profile concept--the idea that a day's trading volume
traces out a rough bell shaped curve on the price axis (see 'A Picture of Value' below,
where the price column is matched up with the TPOs column.
Those TPOs show
frequency of trading (volume) at each price. And as noted, this leads to (day)
value. Our courses focus on value (day and longer). Since longer term value
defines the congestive market condition, and longer term value comes from a
collection of day values; it is important for the trainee to start with some
familiarity with the basics of profiles.
(You can find what you need in the first four chapters of Mind Over Markets by
Dalton, Jones and Dalton.)
Ideally, you will have dealt with
the markets and gained enough experience so that, unlike the ads,
you know making money trading is not easy. You are not expected to know
that most of the books, seminars, charts and trading models you meet up with
do not work. You are expected to have enough sense to realize that if 95%
of new traders lose, and all the books, seminars, charts, etc., did not work for
them, then the same tools most likely will not work for you either. If you still
have faith in the wild claims of the industry (i.e. gain without effort, someone
will sell me a model that works,...), you
are not ready for value training.
In that case, you should go to the link for beginners on our main page under
the CISCO logo.
Beginning Trading
Trader Psychology
If you are still with us, we want to take you on a short detour before
getting down to the business of locating value. We want to talk to you about
psychology, namely yours. Trading involves taking risks. You can lose on
over half your trades and still be quite successful. But you have to be able to
take a loss. If you were in a poker game with six other players your wins
would come (on average) once every seven hands. That is just an average. In a
real poker game you may lose 20 hands in a row. The same is true for trading;
on a fifty/fifty average (win half the time), out of 1000 trades you can
expect somewhere a run of 10 losers in a row (also there will be 10 winners
in a row, but this is no problem). You must know how you face up to adversity.
Some people cannot handle
losing at all. They are not trader material. Others' risk orientation makes
them play for the low risk very
short term (seconds or minutes). Yet others are willing to take a larger risk
over a longer time. You need to know yourself. That requires some introspection
and probably takes some time in the market as well. You may have to feel
your way. An article on our site
at the Whats New link on our main page, looks at the
Psychology of Stress in Trading. Another article on
creating a trading model goes into some detail on the fitness question.
Trading Model Development
Philosophy of Trading
You may feel that trading philosophy belongs in the classroom, not in the actual
give and take of the market. Don't you believe it. The implicit philosophy
that leads to
standard technical analysis "all I need is in price (and sometimes
volume)" and "data is there so I can find trading signals in graphs and simple
calculations" has cost millions (yes millions!) of traders their capital.
Professional fields rely on a knowledge base of fundamentals. A physician
who does not know anatomy is not the guy you want looking at your sciatica,
or setting your broken arm. There was little progress in the medical profession
until the rise of medical science. The old philosophy of medicine was bleed,
put on poltices, do witch dances, etc. Medical science and research now
provides a base of fundamentals. The current practice of medicine
is examine, test, diagnose and treat (i.e. follow the scientific method).
Today's trading is like the practice of medicine
before medical science. Current trading relies on a combination of ideas,
beliefs, hearsay, computers, charts,
charlatanism and self dealing that has little to do with actual market
understanding. Trading decisions do not follow the scientific
method. The trading philosophy of traders cannot be based on science
because traders do not have the basic market facts and the appropriate
methodology to apply them.
A newly evolving Auction Market Value Theory, described in the two
links in the last paragraph of this note, offers traders that fundamental
information (value) and the technology necessary to find it. This
brings market analysis into the arena of
science. Now traders can understand basic
market facts. The door is opened to a trading philosophy of: examine, test,
diagnose and create strategy (i.e. follow the scientific method). The basic
variable, the fundamental information, is value rather than price; although
price behavior over time is the source of measured value.
A Picture of Value
Meta-Profile REPORT FOR 01 26 06
with SEGMENTED AUCTION
Mini S&P 500 (CME-IOM)MAR 06
Price TPOs Segmented Auction (Half-hour Bars)
128075 G G
128050 G G
128000 GM G M
127950 FGMN F G M N
127900 FGLMN F G L M N
127875 FGHLMN F G H L M N | VAU
127850 FGHLMNP F G H L M N |P
127800 FHLMNP F H L |M |N |P
127750 FHLMNP F |H | |L |M |N |P
127700 BCFHIKLNP B C F | |H |I | |K |L | |N |P
127650 BCFHIKLN |B |C | |F | |H |I | |K |L | |N |
127600 BCEFHIJKL |B |C | |E |F | >H >I >J >K >L > > > POC
127550 BCDEFIJKL >B |C |D |E >F > | |I |J |K |L | | |
127500 BCDEFJKL |B |C |D |E |F | | | |J |K |L | | |
127450 BCDEJK |B >C |D |E | | | | |J |K | | | | VAU
127400 BCDEJ B |C >D >E | | | | |J | | | |
127350 CDE C |D |E | | | | | |
127300 CD C D | |
127250 CD C D
127200 D D
127150 D D
A profile day is broken into half-hour periods. B is 8:30 to 9, C is 9
to 9:30 and so on. The half-hour trading ranges are shown on the right,
the Segmented Auction--a vertical alphabetic line for each half hour.
Introduction
Market Condition, the overall picture
Overlay Demand Curve is source of condition
Trending ==> long time-frame traders
Balance ==> short time-frame traders
Trader Control Package provides data
A. Elements of Auction Markets and Exchange Member's Roles
Market Cycle
Four exchange member types
Two market timeframes
Two trader timeframes
B. Market Generated Data: Price and Time
Market Profile (tm)
Liquidity Data Bank (tm)
Overlay Demand Curves (tm)
Trader Control Package
Non-Market Generated Data
Ticks
Open, High, Low, Close, Volume, Open Interest
C. The Bell Shaped Distribution and How it Affects Your Trading
Standard for comparison
Expected and unexpected events
Defines center of value and value area
D. Swing Trading Reference Points; the Primary Six
Six basic reference points of 'Value Based Power Trading'
Bracket: Limits, Octant, Middle, Commercial, Internal Trend
Trend: Run-pause characteristic of trends
E. The Run-Pause Trend Reference Point Illustrated.
T-bonds April 1 - April 7, 1998
F. Additional Reference Points, Free TCP Tables
(Day) Market Review reference points
Reference Point
Daily Range Uses High - Low
Close Relative to previous day
POC Maximum TPO count price (center of day value)
Value Area Day value
Total TPO's An estimate of trading intensity
TPO's Above POC Day demand above POC
TPO's Below POC Day demand below POC
Trade Facilitation A measure of congestion
Shape Factor An estimate of the symmetry of the bell curve
Volatility CV Short term volatility
Total Volume Cleared, total LDB volume
Commercial Volume Cleared, commercial LDB volume
Public Volume Cleared, public LDB volume
Initial Balance High/Low prices of first two TPO pds of the day
I-B Range Range of first two TPO periods of the day
Clo/IB Close relative to IB (ABV, INS, BLO)
Pct/Tot IB percentage of the total days trading range
Value Area Range Range of the value area
Attempted Direction Direction the market is trying to go (U, Null, D)
Value Area Dir. Value area position relative to yesterday
H = Higher, A = Overlapping to Higher, Bl = Inside
L = Lower, Z = Overlapping to Lower
Tables on homepage
Summary Bracket Screen Dollar range of brackets. No limits inc.
Summary, Last 10 days Brackets, last 10 days
Bracket Range Averages Average width, last 250 days
Leading Deliveries Estimated date of delivery
Total Exch. Volume Avg. Exchange (newspaper) volume (inc. spreads)
Total Volume Averages LDB cleared total volume (no spreads)
Floor Mem. Volume LDB cleared floor mem. volume (no spreads)
Commercial Mem. Volume LDB cleared commercial mem. volume (no spreads)
Public & Other Volume LDB cleared public & other volume (no spreads)
Trade Facilitation Fac. TF Factor averages (congestion)
Daily Range Averages Daily Trading Range
Daily Range Dollar Avg. Daily Trading Range averages in dollars
Volatility Rng. Averages Day volatility averages in range factor
Volatility Averages in $ Day volatility in dollars in range factor
Initial Balance Ranges Day Initial Balance range averages
Value Area Averages Day Value Area in dollars
G. Developing a Basic Swing Trading Strategy
Basic Breakout Strategy
Low Risk Day Trades
Breakout
Responsive
Longer Timeframe Swing Trading
H. Trading the Basic Strategy
Basic Strategy
T-bonds, May 7, May 8, 1992
I. Expected/Unexpected Events, Projections, Predictions
Overlay Soybeans, June 4, 1998
TCP ==> evaluation ==> set trade parameters ==> stop on entry ==> continuation
J. Practice Trading, Four Months (Jan - Apr 1996)
Basic Model
Questions for notebook
Swing trades tabulated
Questions/answers/errors
Commercial control of trading
Trades tabulated
Review of six basic reference points
K. Trading as a Business
Method, discipline, rules, leverage, cost control
L. Questions
Open book exam, 30 questions
Appendix: Legend for Visual Graphic
Month 3. The Minor Auction
Introduction
Market Condition, the overall picture
Overlay Demand Curve is source of condition
A. Elements of Markets and Exchange Member's Roles
Market Cycle
Four exchange member types
Two market timeframes
Two trader timeframes
B. Market Generated Data: Price and Time
Market Profile (tm)
Liquidity Data Bank (tm)
Overlay Demand Curves (tm)
Trader Control Package
Non-Market Generated Data
Ticks
Open, High, Low, Close, Volume, Open Interest
C. The Bell Shaped Distribution and How it Affects Your Trading
Standard for comparison
Expected and unexpected events
Defines center of value and value area
D. Attempted Direction
Yesterday AD formula
Current (partial day) AD
E. Market Profile from Period to Period
Five days through June 4, 1998 for soybeans
F. Market Profile
List of Market Profile reference points
Half-Hour tick bars June 4, 1998
Point of control (POC)
POC direction (H, E, L)
Initial Balance
Initial Balance range, Close location, Pct of total
Initial Balance, Percent of total day range
Initial Balance location of close (A, I, B)
Gaps
VA, range, direction
Shape factor (less is better) " " "
TPO's total
TPO's above POC (less is bullish) (Mkt Prof Theory)
TPO's below POC (less is bearish) " " "
Half-Hour Tick Bars and Volatility
Running Profile (Split day) June 5, 1998
G. Additional Reference Points
Excess
Long Term Bar Chart Soybeans Feb 26, - Jun 4, 1998
Long Term Overlay Demand Curve Mar 9 - Jun 4, 1998
Long Term Overlay Demand Curve Msy 22 - Jun 30, 1998
H. Trade Facilitation Factor
TFF = # TPO's per price level
I. Intra-Day Congestion: Short Covering, Long Liquidation
CISCO Congestion Report
J. Overlay Demand Curve with Market Profile
Overlay Demand Curve T-bond May 19, 1998
Combined Overlay and Market Profile T-bond May 20, 1998
K. Value area location in Overlay (higher or lower)
Overlay with VA T-bond May 19, 1998
Market Profile T-bond May 20, 1998
L. Volume Reference Points
Volume interpreted within market condition
M. Practice Trading
Congestion ==> high TFF ==> narrow range ==> narrow VA ==> low committment
Minor Auction trading, soybeans Overlay Jun 8, 1998
Period by Period trading
N. Trading as a Business
Method, discipline, rules, leverage, cost control
O. Questions
Month 4. Reference Points Developed and Reviewed
Introduction
Part 1. Trade Selection
On-Line Equity Trading
Trade Selection
Advice Engine
Specifics for Analysis
Market Profile
Market Dynamics
Overlay Demand Curve
The One Market Trader
Advice Engine Report, Part 1
Advice Engine Report, Part 2
Data Bases for Research
Entry Point, Price for Entry
Risk on Entry, Research
Drawdown
Search
Potential for Profit, History
Timeframe
Long Term Market Behavior
Recent Market Behavior
Value Diagram
Part 2. Trade Management
A. Bracket Screen
B. Overlay Reference Points
Bracket Limits
Bracket Octants
Bracket Middle
Location of Close
Overlay Consistence (5 + 10)
Shape
Time Pattern of Trade
Gaps
Nodes
C. Commercial Activity
Commercials Re-balance (buffer) the Market
Commercials Go-with Trending Markets
Measuring Commercial Activity
Three Quantitative Measures of Commercial Activity
D. Rotation Index/Quadrant of Close
E. Visual Check of Overlay Demand Curve
F. Volume Reference Point
G. Volatility as a Reference Point
H. Trade Facilitation Factor
I. Value Area & Direction
J. Attempted Direction
K. Point of Control
L. Range
M. Quadrant of Close
N. Visual Graphic
O. Market Review in TCP Text File
P. Congestion
Q. Excess
R. Consolidation/Continuation
S. Expected vs Unexpected Behavior
T. Sources of Other Reference Points
U. Acceptable/Reasonable Risk
Outline of Advice Engine Lesson 1
Text: Value Based Power Trading, Jones, Probus Press 1993 (Traders Press)
1. Market Profile
a. Example
The Market Profile
Structure
Normal Distribution (Bell Shape)
5 days of Profiles
b. Text, Chapter 1, Futures Data
2. Overlay Demand Curve
The Overlay Demand Curve
5 days of Profiles
Structure
Multiple days (5,10, 15, 20)
Market Patterns (balance, run, pause, congestion)
a. Text, Chapter 4
3. Trade Selection
a. Text, Chapter 5
Day Trading
Trading Rules, p 123
Position Trade, p 134-144
Trading Rules, p 139
b. Advice Engine
Figure 3.1 Selections for November 17, 2000
4. Trade Management
a. Text, Chapter 6
Day Trading, p 145-146
Position Trading, p 147-173
Trading Rules, p 148
Responsive/Breakout Trading, p 173-181
Trading Rules, p 173, The Basic Model
Outline of Advice Engine Lesson 2
Text: Value Based Power Trading, Jones, Probus Press 1993 (Traders Press)
Reference points covered, in order:
Overlay condition
Overlay Limits U and L
Octants UO and LO
Middle M
*Internal Trend Ri and Qc
*Commercial *
*Nodes
*Location of Close cl
Market Profile
*Volatility Vo
*Initial Balance IB
R range 7 on the VG
% % of day range 70
C loc of close INS (inside the IB)
*Value Area
VA U upper limit
VA C center
VA L lower
R range
*Trade Facilitation Factor Tf
Reference points preceded by the * are the subject of this lesson.
Note that volume is not included as a reference point. Volume is potentially an important
reference point, but getting the correct volume is difficult. Exchange Official volume, the
sort found in the newspaper, includes spreads. Since spreads vary widely day to day and may
be a substantial part of the total, a large unknown variance is created. In most research
cases we find that TPO volume (counts) work well as a volume surrogate. Liquidity Data Bank
data on the CBOT carrys the actual cleared volume without spreads. This data is used in
the TCP's Commercial Capping measurement, but since it is not so generally available, we eschew
forming a reference point with it.
Fees and details are in the Product Catalog.
Product Catalog
Major Auction: New Trades, Starting Out: Selection Validation Confirmation Strategy Swing Trading Basic Model: Elements of the Model Example Potential Improvements Track Record Old Trades: Resetting stops Reference Points for trade continuanceFees and details are in the Product Catalog.
Auction Market Analysis: Elements of Auction Markets Bell Shaped Curves Reference Points The Minor Auction: Short Term Analyses Continuation Reference Points ExpectedBehavior Trade Management: Commercial Reference Point Market Cycle Hourly LDBs Fluctuation and Volatility: Long and Short term Volatility, Volatility as a Reference Point Responsive Day Trading: Overlay Demand Curve, Commercial Control, Model and Rules, Example
Reference Points: Overlay Demand Curve (3) Internal Trends Commercials Pauses in Trends (nodes)
Quarter 2, Month 4, 5,6: Review of Ref Pts, Volume, Trade Facilitation, Quadrant of Close
Cost Control: Discipline Rules Leverage Scale-up Scale-Down Cost Control Slip Workbook: Examples and Tests Trading: Data Market Profiles LDBs, Hourly LDBs Overlays Selection Management Menus Four Phases of Markets: Balance Testing the Balance Trending Testing the Trend Testing: Transitions, Continuation Analyses, Liquidity Data Bank and LDBRES Processor Reference Points: Volume Volatility Trade Facilitation Factor Quadrant of Close
Quarter 3, Months 7, 8, 9: Major to Minor Auction, Commercials, Review of Reference Pts
Reference Points: Value Area (2) Point of Control (POC) Shape Factor Trading Range (2) Initial Balance (2)
Interaction of Major & Minor Auctions: Major/Minor Auction Timeframes Short Timeframe Traders Commercials: Function/Role Capping Going With Work-out-time Risk Limitation Three Measures Review of Reference Points: The Basic Six Volume Volatility Value Area Others
Quarter 4, Months 10, 11, 12: Technical Analysis, Exiting, Review
Reference Points: New Highs/Lows Total TPOs TPOs Above/Below POC Top4/Bot4, Congestion
Technical Analysis: Role in NMA Cycles Oscillators Moving Averages Pivot Points Trade Exit: Basic Exit Model Exiting (Why) Examples
Review: Major/Minor Auctions Testing Day and Swing Trading Exits Money Final Exam
CISCO 1 303-306-1521
PO Box 441396, Aurora, CO 80044
1 800 800 7227
http://www.cisco-futures.com
dljones@cisco-futures.com