Quote from ljyoung:
It was by and large Wyckoff who first got it right when he correctly interpreted the relation between price and volume and since his time there has been precious little to add to what he said about the matter except for "sequels"
It is not fatuous to state that if one's data is meaningless (visual gibberish) that there are no consequences with respect to determining the validity of a particular trading methodology. That is of course unless the outcomes are being determined by factors other than the variables being looked at, which in this case would be price, volume and time.
I'm ignorant as to what you contextually mean by binary vs gradient but would take you to mean that since the markets are fractal, then what happens on one time frame happens on all time frames. I could not agree with Mandelbrot more on that point. The way I constructed my view was to suggest that as the time or tic frame became shorter it became more difficult to accurately discern what meaningful relation existed between price and volume and equally important to make money while you are doing it. As I further said using your methodology on a 1 tick/bar chart of a highly liquid and volatile entity (SPY perhaps?) would prove to be rather hairy - not impossible, but hairy. Which is to say preferential order flow positioning and lots of computing power would be definite assets.
Thus it makes no sense to me to say that at very short time or tic frames that "... debates on the accuracy of data or the validity of information (or other 'edges') prove nothing more than an exercise in futility." given the exquisitely tight relationship between price and volume you have espoused in your post.
By extrapolation of your viewpoint then, the "colors" of the volume bars should be equally unimportant but clearly in your analysis they are not. For different reasons, outlined in the previous post, I do not believe the colors are significantly meaningful.
I am being a trifle hyperbolic in the immediately preceding paragraph but it is simply to make the point that at some point in your analysis you make a decision that the data you are looking at is indeed the data which is reflective of what is happening in the market and my question is when exactly is that?
I as yet am not knowledgeable enough to say that I know how all markets work but what I can say is that they are frequently not what they are portrayed to be (kind of like free trade with government subsidies). The role of trader ignorance, naivete and lack of understanding of what is really going on possibly contributes to the finding that some 90-95% of short term traders go bust. In so far as those folks were concerned the way the market worked for them was to relieve them of their discretionary funds with facility.
lj
I enjoy reading your posts and getting an understanding of where you ar coming from.
It is really fun to continue to examine more and more closely what is going on.
I believe that you are recognizing by now that we are front running the markets.
the beautiy of understanding that there are several channels within channels and the is a direct correspondence between P an V for each of these channels as pairings keep everything very clean and precise. The set is a meaningful observation.
When the concurrent tick charts are added as OTR (One Tick Range charts (and their dwell volumes as well, there is no shift in reasoning it turns out.
This consistent and continuous phenomena you are beginning to observe is where SCT's name came from.
The sequences of the binary (and vector as well) perfomance clearly gives the user an advantage over those using powerful staticitcal analysis. What is it like to first begin to observe valuations where direction and magnitude (combined) values only have one alternative value.
Seeing a present value and knowing there is only one alternative for each of many components of a data set is a place to savor and cherish. All the names of people you mentioned have not had the experience that you are now having.
All the lines you see have definition in non probabalistic maths.
The degrees of fredom being used to montior are all binary vectors.
You may reflect and appreciate this place of operating that deals in only NOW and has no probabalistic factors.
There are no tests of significance needed since it is a priori.
you are so very correct and precise in requiring onlt meaningful observations.
there is only one kind: the binary vector, the only non-probabalistic value with zero uncertainty available continuously in, for this case the market.
Finite data sets. Finite and coresponding conclusion sets. Five decision alternatives that are permenantly associated with each of the elements of the finite conclusion set elements.
The market dictates a singular routine (and it is NOT OODA of Steenbarger); the routine is monitor for complete data sets, analyze (apply the predetermined conclusion element from a fintie set); decisde by using ut decision associated with the conclusion (predetermined as well).
by now you see a matrix appearing and it is finite. you will come to notice as you peruse it, that the market migrates as one consequence. That consequence is that, successively, all other pathways are closed off, and only one remains to be followed.
Is it difficult to sit and watch successive pathways closed off, mathematically. I think not.
Continuous data provide precision. Precision leads to effectiv8ieness and efficiency.
At some point the conventional paradigm in its probabalistic application becomes crude and insensitive.
Looking at the OTR and its collateral buddies (five in number) spreads the passage of time out so widely that it almost seems to stand still when decisions are made by taking timely action.
I really enjoy reading your stuff. You are very close to beginning to see how markets operate and best of all you can still consider what is possible. Stopping the consideration of what is probable is a really terrific experience.