Most of the people say Time Series doesn't work, why?

Discussion in 'Strategy Building' started by GloriaBrown, Sep 26, 2013.

  1. mark_mm

    mark_mm

    Who are "most people"?

    Timeseries isn't a trading method or strategy it's just a series of datapoints at uniform time intervals. It's not a matter or working or not but is it an appropriate and accurate representation of the data.
     
    #11     Oct 11, 2013
    kandlekid and thecoder like this.
  2. Alright, so you mean time variable is not meaningful in trading, and only price variable means the most? How about volume variable?

     
    #12     Oct 12, 2013
  3. I'm missing a lot here. There's plenty of cycle analysis. Hurst being one of the bigger ones. Fib, seasonality, and linear cycles.

    If it's not time series what is it?
     
    #13     Oct 12, 2013
  4. I've heered tell of folks that don't use time as their X axis. Not willing to venture that far afield fer myself but I wish them fellers well.
     
    #14     Oct 12, 2013
  5. I am talking about academic kind.
     
    #15     Oct 13, 2013
  6. Academics are wonderful. They have proven that all TA is impossible. They have proven that the world will end from cooling, then after that from warming. They have computer models that prove they know what they are doing.
     
    #16     Oct 13, 2013
    thecoder likes this.
  7. It is an event series.

    Events happen on market variables.

    the market has an independent variable and a dependent variable.

    Knowing this, a person can look for events that are significant.

    significant events are called signals.

    Logically speaking, it is possible to understand that events on the independent variable lead events on the dependent variable.

    By quantifying all the possible events on the independent variable, a thinker then deduces the series they fall into.

    In trend monitoring and analysis (the utilitarian alternative to trendfollowing), trends begin and end. Between the two events are found the series information.

    Finite mathematics is used to produce the event series between the ends of trends.

    The Keynesian paradigm Theory yields the assignment of the two market variables as independent and dependent. Carnap's logic theory is used to create the SYSTEM of the market's OPERATION by using a heirarchy of events (signals and sub signals).

    The errors of Baysian approaches is the same errors you are making. All the cycle analysts did the same thing. they stipulated that time was a variable and then, for their personal convenience, went forward out on a limb and got only as far as they could before they broke the limb (made x % a year with capital) instead of taking the full offer of the market.
     
    #17     Oct 13, 2013
  8. Sorry I wasn't more explicit.

    In markets, mathematics uses events series analysis to gain additional degrees of freedom.

    For example, I look at the market's system of operation as a footbal team doing downs to make scores. A week for me is the series I use to double capital (make a first down). I look at Buying Power as the yardage on the playing field. For chicken feed trading lets use 12 contracts as the buying power.

    In a week, I have to score in three days out of five, 12 contracts using my 12 contract team. So I make 4 yards a day where a yard is 20 points per contract.

    I use the independent variable to determine the dependent variable. I have a heirarchy of series running. Think of them as a line, recievers and a backfield.

    Every play there are three series happening in a coordinated manner.

    as you get more involved in observing trading, you will learn about variables and their signals. first you have to know the name of a variable and then you have to learn it's role on the team.

    the independent variable determines the facts about the dependent variable. In mathematics, a defined expression ties the independent variable to the dependent variable.

    Algorithms determine the roles. algorithms have very very strict rules for their determination and their operation.

    In the system of operation of the markets, the IF part of a hypothesis represents the independent variable. The THEN part of the hypothesis represents the dependent variable.

    An algorithm must be complete and its hypotheses must be "in kind".

    since markets are systems SA must be used. the HS also has to have a measure. The HS measure (PM) dictates series usage in the mathematics of the system.

    Because markets are granular in their variable's measures, the mathematics has to be able to handle granularity right down to the smallest element in the system.

    The conclusion you have just read dictates that volume is the independent variable and price is the dependent variable.

    Thus, the financial industry concentrates on making money through fees and commissions. It appears that what they earn in a year is just a few hours in a day for a person who uses science and mathematics correctly.

    Personally, I escape having to relate to most in the financial industry. BUT the regulators incorrectly profile me as an "insider trader". This is simply because I make money too fast for the kinds of normal people they regulate. My advantage is that I know the system of variables the market uses and I use the type of mathematics dictated by the markets.

    So you open a thread. you ask a question. No one can answer you, it seems. certainly you cannnot understand my answer and you will go forward never understanding how the system of the market works. you are in what is called the majority. The minority controls the market.
     
    #18     Oct 13, 2013
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  9. Shax

    Shax

    If it can be useful to someone, I attach here the formula for Metastock of Hurst Cycle (you can easily change the periods, amplitude of the waves, etc,...)

    [​IMG]

    [​IMG]
     
    #19     Nov 25, 2021
  10. kandlekid

    kandlekid

    I agree. Time series are used in all sorts of things. Of course, in trading, when using a time series, you are looking at past events, and past events cannot always reliably predict future events. I wish it were not so :)
     
    Last edited: Nov 29, 2021
    #20     Nov 29, 2021
    murray t turtle likes this.