Quote from wcmckee87:
ya i have a bad habit of trying to leech as much information from sources I see as valuable as I can for 0 cost, my apologies...as you will see in my reply to you NYSE 
although you guys are probably the assholes taking all the money outa my account so you owe me goddamn-it!
For your paper you need to focus on avoiding induction. NYSE guy is using induction so he is going to come up against a bad result in time. See his John Boyd based inductive feedback loop comment. This also includes his making using a non null hypothesis error. He mentions ACTION as important. Boyd used OODA where A is action. Unfortunately, however, Boyd was a user of induction which is, in fact, a riddle. See Riddle of Induction. Too bad for the thread.
The alternative is using a deductive process that grows from reasoning, an intellectual pursuit not done in this thread.
A hypothesis set is required as the starting point. There are many requirements to begin to reason from a hypothesis set. Keynes introduced having like kind for each element of the set.
If you begin your reasoning with three thoeries or principles such as:
Logical Theory (Carnap)
Principle of Indifference, and
Invariance Theory
At this point the work of Rev. Thomas Bayes will come into view. Here you see part of the debate on probability between frequentists and Bayesians.
Kuhn will present you with the concept of the adequacy of a theory. It necessarily involves: accuracy, consistency, scope, simplicity, and fruitfulness.
You will come up with a paradigm (algorithm) whose component parts include the Hypothesis Set and the parametric system of measure. To do this you will have to consider the Underlying Measure variance Theory and an aspect of Logic Theory that requires completeness.
Here you come to understand that there are no "rules of trading", rationally speaking.
Carnap provided that there is a language (L) and keeping its size small while complete leads to the understanding that it is extremely important to have many levels of vocabulary instead of one large single level vocabulary based upon a few prime words. An optimal dictionary has about 15 levels. For trading 7 levels will suffice.
The hypothesis set needs to deal with a few matters. Arbitrariness can be minimized by moving as high as possible in hypothesis since, by intuition smaller symmetric types (kinds) are rare and less arbitrary. I slipped symmetry in and its value is primo. Here is where in hypothesis ânames do not matter and only âformâ is important. Finally, it is important to move as close as possible to the beginning or origin of thinking. Having no or few priors sitting âbefore, in a primal senseâ, the hypothesis set is important.
Trading has a common name for the hypothesis set although the name does not point to hypotheses in a typical traderâs mental status and comprehension. The Holy Grail.
These three boxes make up the graphic of the theory of paradigm or algorithm: Ther box filled with the Hypothesis set; the box filled with the parametric measures; and the box that is âpriorâ to the hypothesis set.
From this point on all that is needed is the practical and pragmatic set of training wheels that lead to a system that is wholly functional.
There are two hypotheses; one parametric measure and three priors. All are one liners.
The two hypothesis are symmetric and of like kind. Further they are mutually exclusive. Call them h sub 1 and h sub 2. So, h sub one is NOT h sub 2 and h sub 2 is NOT h sub 1.
Wonderfully the parametric measure is simply change measured with respect to time an, secondly, only two variables are involved.
The three priors are just a result of the manner in which markets operate as quasi living things and the pragmatic aspect of making money.
The priors are:
You have to be in the market to make money.
Money is made through the principle of price change.
To extract the marketâs offer fully, you have to be in the market all of the time on the right side of the market all of the time.
Velocity is what you measure for the compnents of the two hypotheses.
The two hypotheses are:
If volume is increasing, then price trend will continue.
If volume is decreasing, then price trend will change.
As it turns out a person learns by developing short term memory into long term memory. An example of this is reading. As shown above the language you learn to trade is reading the velocity of volume and then knowing you know what price Action will result.
This involves a process of building the mind level by level through seven levels of glossary or terms that form the language of the market. It is quite an experience to have gone through and applied this process for quite a while to many markets. The Kuhn test with its five components shows up in trading expertise of having a language that is read on all fractals whereby there is no change in the languaging.
In the thread no one, without exception, gets this.
There are some classic ET members who are undifferentiated and have no language to use. These B people are priceless in the humor they post.
Some very common mistakes that are made:
Using induction.
Using an entry/exit based strategy.
Being disrupted in use of analysis.
Being disrupted in application of intuition.
Using mathematics other than Boolean algebra.
Not recognizing that there are two equally important variables in markets.
Not knowing the relationship of the two variables in null hypothesis terms.
Beyond this there is the incoherent belief system of what has become known as Conventional Wisdom.
Trading is a partnership of two elements: the trader and the market. Most, say 95%, cannot recognize the simple requirement of a partnership and just where the requirement comes from and how it gets into the space. A routine results: Monitor, analyze, decide, and act in a timely manner.
The partnership begins with âtellsâ.
The requirement is to âacceptâ the âtellsâ.
By allowing âacceptanceâ, the trader will find âTRUSTâ appearing in the space of the partnership.
âTrustâ builds from a small seed. It grows and more and more âtellsâ are seen and âacceptedâ. Most traders have never seen the market. NYSE guy hasnât. Sushi hasnât. traderzones hasnât. so they only post humor.
Finally, what âtrustâ means comes into view. A measure becomes available. The measureâs name is âvalueâ.
I have described a circle. âtellsâ>>>acceptance>>>trust in the circle>>>> value>>>>tells>>>etcâ¦..
Tradingâs Holy Grail is the order of events and their timing. The algorithm is pool extraction, that is, continually taking the marketâs offer through a hold/reversal strategy that keeps you in the market, on the right side of the market, and extracting segments of profits each time the right side of the market changes.
Obviously, all of this can be coded into an assortment of ATSâs. There you get to deal with the added variable of the marketâs capacity. Presently it is a good estimate to understand that trading ES contracts is limited to about 10,000 contracts as the capacity for taking the offer continually in a given account.
The two disruptions lead to irrational observation, decisions and actions. The simple proof of this was found in a Rutgers study by a team. Their results appear briefly in the economist on page 78 of the 11APR09 issue. There you see how those in the thread are defeated by themselves. They simply bet on the wrong outcome of losing and the wrong outcome of winning. The numbers speak for them selves and you can assign these disruptions to each of the posters to see where their posts are incoherent rather than coherent. This can be measured while trading using a hookup to your computer. Buy a emwave pc and make the four measures of your incoherence.
QED.