regit wrote: Mon Jul 24, 2023 9:01 pm
When dealing with chaotic space, I assume this is at least 3-dimensional. But with financial time series, I see only 2 dimensions. So, is the space of the time series indeed 3D but we are privy only to the 2-D view with it's limitations in presenting a 3-D space, or is the time series in fact 2-D, and any seeming anomalies are from other sources, such as chosen scaling factor and chosen timeframe?
@regit the other thing is that your ignorance of chaotic space may be general and due to the a basic fact. You have still not understood what chaos is and consider it a phenomenon of the temporal realm --NOT CORRECT. I had sworn to myself to keep away from this type of discussion because trading is not mathematics it is the space in which trading is done that is a mathematical construct - trading itself has no formula by which to undertake it --- so we should keep mathematics out of the thread as much as possible, but may be we make an exception this time and for this point because it is important.
Most people (and obviously that is how you think which is why you are confused about what dimension chaos is in study), think of chaos as something that exists in the real world. Not so. Chaos only exists in and because of computers. Take computers out of this world and chaos will disappear with it. How? Here is the sense. Chaos is behaviour in the numbers that disallows the prediction of phenomena that express as chaotic systems. The problem of chaos comes up only when you try to predict such systems nowhere else does a problem exist with such systems. In your physical and mental interaction with such systems you do not "see" chaos just behaviours that you may want to predict and when you try to do that on paper via the computer (2-D), you come up against chaos, it lives in the computer. In markets, chaos explains why price is unpredictable, which when expressed in fractal geometry clearly shows how the market becomes unpredictable long-term (I would argue any term), because its translations are fractures in time and are nonlinear and complexed to infinity.
So what I did is simply to say ok fine - we cannot predict you because you go about folding and stretching the space to which you map (think an imaginary 2 dimensional sheet of paper to which market transactions is written every second and less, and which paper (space), is being repeatedly folded and stretched by the data). So instead of trying to predict you sir we shall follow you point to point. Because you are deterministic (given the structure of the chaotic equation), knowing a first point means without knowing the next exactly in measure (you are unpredictable), we can follow you to your topological measure exactly. Why? Because you are bijective and using set theory manipulation we know this behaviour well---------------> domain to co domain and back (inverse on). We will put weighted pivots on you and track you from point to point and make you naked to our eyes to tell where you are going you shifty character. Simple requires not a single iota of intelligence to think as I have when you are trader looking for a way to win at no risk and every trader even a newbie understands how I thought and approached the problem when explained like this because any trader even a newbie would think the same. This is what has proved beyond most people conceptually - leading them to wild assumptions that detract from them EVER getting the hint so they make money trading more easily and far, far more surely. That is it my brother @regit ---> no need for pedantic thinking even where we are naturally inclined - drop it for practical methods given the truth exposed above and work towards how do we follow price so well that we succeed in the difficult task of winning every trade? How can we help ourselves doing it, NOT BY FINDING ANONOMALIES WHERE THERE ARE NONE SINCE WE DO NOT EVEN KNOW THE SPACE TO FIND NOMALIES MUCHLESS ANOMALIES? I hope you get the joke. But seriously lets help ourselves trade - it is a market not a mathematics laboratory.
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