Discussion of article "Statistical Carry Trade Strategy"

 

New article Statistical Carry Trade Strategy is published:

An algorithm of statistical protection of open positive swap positions from unwanted price movements. This article features a variant of the carry trade protection strategy that allows to compensate for potential risk of the price movement in the direction opposite to that of the open position.

Statistical Carry Trade Strategy

Author: Ruslan Lunev

 
Automated-Trading:

New article Statistical Carry Trade Strategy is published:

Author: Ruslan Lunev

Hi Ruslan 

 

I just wanted to know if it does open trade at all ?

and thank you for your article about carry trade .

 

JCB 

 

Hi ruslan

thank you for article

 

I am not math expert ,but pretty sure that the whole calculations are wrong
 
double averagex = open1[0]-open1[100] / 100;

what I expect is the summation of all the open prices from 0 through 100, divided by 100
besides, the following formula
y = 2 * x + 1 

does not seem to be true.
Can anyone with more knowledge in math justify me?
 

There is an error in the message box :

         MessageBox(recomendation,"Not recommended", 1);

To be replaced with :

         MessageBox(recomendation + " ...Not recommended", 1);

So to get the message not recommanded


Post scriptum : it is not an error, the "not recommended" is the title of the box, but on an black screen, it is not seen.

The "return(0);"  should be all deleted


For this part

 if(b>0) 
     {
      Print("###", _Symbol+" = ",a," * "+secondpair+" + ",b);
        } else {
      Print("###   ",_Symbol+" = ",a," * "+secondpair+" - ",MathAbs(b));
     } 

here are the result I get :

2019.04.06 15:41:15.077    StatisticCarryTrading USDCHF,Daily: ###   USDCHF = -0.9075968272144176 * AUDUSD - 0.0001681237443192841


2019.04.06 15:41:20.802    StatisticCarryTrading USDCHF,Daily: recomendation  Average daily profit: 1.681237443192841 points

2019.04.06 15:41:19.539    StatisticCarryTrading USDCHF,Daily:  recomendation  Correlation coefficient: -0.212986151589174

Reason: