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TradeStation keyword question
Updated August 24, 2014
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TradeStation keyword question
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#1 (permalink )
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Guys, simple question: in the following code, is the independent variable some sort of sequence of integers (EG if the length is 20, that the independent variable is 1-20), or is it the lagged price?
Value1 = RSquare(BarNumber,PriceH,Length);
If LinearRegSlope(PriceH, Length)<0 Then Value1 = -Value1;
The indicator I'm looking at is called R-squared autocorrelation, but I'm not overly familiar with tradeStation.
Thanks a lot.
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#2 (permalink )
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IlyaKipnis
Guys, simple question: in the following code, is the independent variable some sort of sequence of integers (EG if the length is 20, that the independent variable is 1-20), or is it the lagged price?
Value1 = RSquare(BarNumber,PriceH,Length);
If LinearRegSlope(PriceH, Length)<0 Then Value1 = -Value1;
The indicator I'm looking at is called R-squared autocorrelation, but I'm not overly familiar with tradeStation.
Thanks a lot.
Do you mean the "BarNumber" variable?
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#3 (permalink )
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Hulk
Do you mean the "BarNumber" variable?
I suppose I'm asking what both of those lines do. That is, am I doing a rolling linear regression on integer values specifying time, or am I doing the rolling linear regression on the price against a lagged version of itself?
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#4 (permalink )
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IlyaKipnis
I suppose I'm asking what both of those lines do. That is, am I doing a rolling linear regression on integer values specifying time, or am I doing the rolling linear regression on the price against a lagged version of itself?
I am not too good at math so I will stick to the first part of your question .
The first line calls a function called RSquare which takes 3 inputs, judging by the naming convention lets call them the independent input, the dependent input and length input.
The independent input, BarNumber, is a sequence of integers. For a given bar, it returns the sum of the bars in the chart before and including the given bar. If a length of 20 is specified and there are 500 bars in the chart, then the RSquare function will use the previous 20 values for this variable, i.e, 481-500.
The dependent variable seems to be an input and judging by its name, PriceH, it seems to be using the high of bars. You can verify this by the inputs to the study.
The returned value is held in a placeholder called "Value1".
The second line calculates the slope of the "PriceH" series using the same "Length" and changes the sign of the value returned in line 1 if the slope is negative.
I think.
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#5 (permalink )
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Hulk
I am not too good at math so I will stick to the first part of your question
.
The first line calls a function called RSquare which takes 3 inputs, judging by the naming convention lets call them the independent input, the dependent input and length input.
The independent input, BarNumber, is a sequence of integers. For a given bar, it returns the sum of the bars in the chart before and including the given bar. If a length of 20 is specified and there are 500 bars in the chart, then the RSquare function will use the previous 20 values for this variable, i.e, 481-500.
The dependent variable seems to be an input and judging by its name, PriceH, it seems to be using the high of bars. You can verify this by the inputs to the study.
The returned value is held in a placeholder called "Value1".
The second line calculates the slope of the "PriceH" series using the same "Length" and changes the sign of the value returned in line 1 if the slope is negative.
I think.
Right. I'm asking about that slope that's positive or negative. Is that also using those same integers (EG 481-500) as the independent variable in that second line as well?
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#6 (permalink )
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IlyaKipnis
Right. I'm asking about that slope that's positive or negative. Is that also using those same integers (EG 481-500) as the independent variable in that second line as well?
No. The inputs to the LinearRegSlope function is the PriceH variable so it is using whatever is being assigned to PriceH.
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#7 (permalink )
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Hulk
No. The inputs to the LinearRegSlope function is the PriceH variable so it is using whatever is being assigned to PriceH.
I get that PriceH is the dependent variable (the y). What is the x? 1 through Length?
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IlyaKipnis
Guys, simple question: in the following code, is the independent variable some sort of sequence of integers (EG if the length is 20, that the independent variable is 1-20), or is it the lagged price?
Value1 = RSquare(BarNumber,PriceH,Length);
If LinearRegSlope(PriceH, Length)<0 Then Value1 = -Value1;
The indicator I'm looking at is called R-squared autocorrelation, but I'm not overly familiar with tradeStation.
Thanks a lot.
IlyaKipnis
I suppose I'm asking what both of those lines do. That is, am I doing a rolling linear regression on integer values specifying time, or am I doing the rolling linear regression on the price against a lagged version of itself?
Would need to see the RSquare function to understand the inputs, which looks like the bar number, High dataseries and a variable Length.
Would be evaluated once per bar by default.
Mike
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#9 (permalink )
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IlyaKipnis
I get that PriceH is the dependent variable (the y). What is the x? 1 through Length?
Doesnt look like x begins at 1. x begins at BarNumber - length where BarNumber = the current number of bars in the chart so x should begin at 481 if the current bar being calculated was bar # 500 in the chart. If length was 20, x would be 481 through 500.
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#10 (permalink )
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Hulk
Doesnt look like x begins at 1. x begins at BarNumber - length where BarNumber = the current number of bars in the chart so x should begin at 481 if the current bar being calculated was bar # 500 in the chart. If length was 20, x would be 481 through 500.
Alright, so Rsquare is the R-squared of the high of prices (y) with respect to bar number (x).
The slope, ALSO, is the high of prices (y) with respect to bar number(x)?
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#11 (permalink )
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IlyaKipnis
Alright, so Rsquare is the R-squared of the high of prices (y) with respect to bar number (x).
The slope, ALSO, is the high of prices (y) with respect to bar number(x)?
I think I am unable to translate the code to you. Lets just go by the documentation:
R-Square Function
R-Square (r2) is the coefficient of determination, which measures the proportion of variation that is explained by the independent variable in a regression model. This function takes the value of CoeffR for the specified Length and squares the value. that is, CoeffR(Length) * CoeffR(Length). The RSquared value can be interpreted as the proportion of the variance of Price with respect to the specified period (’Length’).
So, this function would use the PriceH over specified length to compute the value.
LinearRegSlope Function
Linear Regression is a concept also known as the "least squares method" or "best fit." Linear Regression attempts to fit a straight line between several data
points in such a way that distance between each data point and the line is minimized.
Returns
A numeric value containing the slope of the current regression line.
Usage
The input Price can be hard coded with a bar attribute such as Close, Open, High, Low, and Volume or a numeric series type input. It can also be replaced with a valid
EasyLanguage expression. For example: Close + Open, or Average(RSI(Close,14),14).
The input Length can be hard coded replaced with a numeric simple type input.
And this function calculates the slope of PriceH over the same length used in the previous function.
Hopefully this answers the question, otherwise I am out
Last Updated on August 24, 2014
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