Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

is there any way to calculate atr trailing stops via python for historical ohlc data #272

Closed
mahesh-solanke opened this issue Apr 17, 2021 · 5 comments
Labels
enhancement New feature or request good first issue Good for newcomers

Comments

@mahesh-solanke
Copy link

mahesh-solanke commented Apr 17, 2021

@twopirllc Thanks for such a beautiful library for technical indicators, it helps me a lot in many ways.
I am stuck on one point, didn't find any relevant python indicator library or calculation for getting values of ATR Trailing Stops, is there any way please help me out.

Thanks in advance.

@mahesh-solanke mahesh-solanke added the enhancement New feature or request label Apr 17, 2021
@twopirllc
Copy link
Owner

twopirllc commented Apr 17, 2021

Hello @mahesh-solanke,

Thanks.

I found Motive Wave's ATR Trailing Stop has an algorithm for it.

Currently I am backlogged on Issues and Features and unfortunately do not have a time frame on when it can be implemented. But if you are willing to give it a shot, we all would appreciate the contribution to see it sooner. If so, feel free to fork, edit and submit a PR when ready.

Kind Regards,
KJ

@twopirllc twopirllc added the good first issue Good for newcomers label Apr 20, 2021
@twopirllc twopirllc removed their assignment Jun 21, 2021
@koonom1985
Copy link

May I know any update on this features so far?

@twopirllc
Copy link
Owner

Hello @mahesh-solanke,

So atrts has been implemented with the assistance of @koonom1985. 😎 It is available on the development branch if you want to check it out.

$ pip install -U git+https://github.com/twopirllc/pandas-ta.git@development

Thanks,
KJ

@mahesh-solanke
Copy link
Author

@twopirllc, Thank you so much for this.
It really means a lot. that you guys have implemented
Thanks, @koonom1985 for your help.

Regards,
Mahesh Solanke

@twopirllc
Copy link
Owner

@mahesh-solanke,

You're welcome.

Regards,
KJ

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request good first issue Good for newcomers
Projects
None yet
Development

No branches or pull requests

3 participants