Linear Progression Slope code

• 03/18/2024 at 7:31 PM #229975
  brian gilbert

  Hello, can someone tell me how the “Linear Regression Slope” indicator is calculated in ProRealTime? I tried following the indicator description instructions, but I am getting different values…

  

  brian gilbert

  Participant

  Topics: 4

  Replies: 9

  Been thanked: 0 times
  03/19/2024 at 4:35 PM #230049
  robertogozzi

  Only post in the language of the forum that you are posting in. For example English only in the English speaking forums and French only in the French speaking forums.Thanks 🙂

  I moved it from the Italian forum.

  Which indicator?

   

  

  robertogozzi

  Moderator

  Topics: 69

  Replies: 16472

  Been thanked: 3643 times
  03/19/2024 at 4:52 PM #230051
  brian gilbert

  Ah, ok, scusatemi… credevo che l’inglese fosse un po’ la lingua “universale” del Forum….

  Comunque, parlavo della “Pendenza di Regressione Lineare”, io ho provato a ricostruire l’indicatore servendomi della seguente formula:

  Slope = (N * Sum(xy) – Sum(x) * Sum(y)) / (N * Sum(x^2) – (Sum(x))^2)

  ma non sono riuscito ad ottenere alcunchè, oppure ottengo valori sballati, per cui volevo sapere qual è il codice applicato su Prorealtime per ottenere il suddetto indicatore.

  Grazie in anticipo.

  Ah, ok, sorry… I thought that English was somewhat of the “universal” language of the Forum….

  However, I was talking about the “Linear Regression Slope”, I tried to reconstruct the indicator using the following formula:

  Slope = (N * Sum(xy) – Sum(x) * Sum(y)) / (N * Sum(x^2) – (Sum(x))^2)

  but I wasn’t able to get anything, or I get incorrect values, so I wanted to know what code is applied on Prorealtime to obtain the aforementioned indicator.

  Thanks in advance.

  

  brian gilbert

  Participant

  Topics: 4

  Replies: 9

  Been thanked: 0 times
  03/19/2024 at 6:55 PM #230066
  JS

  Hi Brian,

  Try this one:

   

  Linear Regression Slope (JS)

  Sumx=0 Sumy=0 Sumx2=0 Sumxy=0 N=10 For i=1 To N x=i y=Close[i-1] Sumx=Sumx+x Sumy=Sumy+y Sumx2=Sumx2+(x*x) Sumxy=Sumxy+(x*y) Next Slope=(N*Sumxy-Sumx*Sumy)/(N*Sumx2-(Square(Sumx)))*-1 Return Slope

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19

  Sumx=0 Sumy=0 Sumx2=0 Sumxy=0   N=10   For i=1 To N x=i y=Close[i-1] Sumx=Sumx+x Sumy=Sumy+y Sumx2=Sumx2+(x*x) Sumxy=Sumxy+(x*y) Next   Slope=(N*Sumxy-Sumx*Sumy)/(N*Sumx2-(Square(Sumx)))*-1   Return Slope

  1 user thanked author for this post.

  brian gilbert

  

  JS

  Participant

  Topics: 22

  Replies: 1427

  Been thanked: 559 times
  03/20/2024 at 7:35 AM #230074
  robertogozzi

  @brian gilbert

  please stick to the chosen language. Thanks 🙂

   

  

  robertogozzi

  Moderator

  Topics: 69

  Replies: 16472

  Been thanked: 3643 times
  03/20/2024 at 5:39 PM #230140
  brian gilbert

  Sorry, but i don’t understand if i must write in italian or english… however, thank’s a lot for your helping.

  

  brian gilbert

  Participant

  Topics: 4

  Replies: 9

  Been thanked: 0 times
  03/20/2024 at 6:32 PM #230154
  robertogozzi

  Read the basic rules highlighted in yellow below.

  Choose the correct language forum and stick to it, using only that language.

  You chose the Italian forum but you used the English to write your first post. I then switched it to the English forum.

  Use only the English language here.

  Should you create a new topic you may choose any one of the supported languages, but then stick to it, please 🙂

   

  

  robertogozzi

  Moderator

  Topics: 69

  Replies: 16472

  Been thanked: 3643 times
  03/21/2024 at 12:47 AM #230166
  PeterSt

  robertogozzi wrote:

  You chose the Italian forum but you used the English to write your first post. I then switched it to the English forum.

  Which is a most unclear thing to do. Please don’t blame the user/customer. Instead blame yourself. Or at least don’t bash the user for it.

  1 user thanked author for this post.

  brian gilbert

  

  PeterSt

  Participant

  Topics: 71

  Replies: 2301

  Been thanked: 697 times
• Author
  Posts