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 this library active? #16

Open
adrianog opened this issue Apr 11, 2021 · 4 comments
Open

Is this library active? #16

adrianog opened this issue Apr 11, 2021 · 4 comments

Comments

@adrianog
Copy link

No description provided.

@drhighliner
Copy link

No, unfortunately it isn't. :(

@adrianog
Copy link
Author

ahh pity! what happened to the author? no announcements in that respect?
The author seemed to know what he was doing.

I notice you've forked and "reloaded" - is there any reason why we should NOT use your library?

@drhighliner
Copy link

Indeed it is. :/

Feel free to use it. I just implemented the threading improvements from the PR section, but it is still missing any update for the newest pandas and numpy versions and fixes for memory leaks, which you could experience if you run the indicators in a loop. (which I do) But if you have any ideas or fixes, feel free to contribute. :)

For the moment I switched to pandas-ta (bc of the memory leak issue), but it is drastically slower than the bta-lib implementation...

@adrianog
Copy link
Author

Ah yeah, I came to the same conclusion - using pandas-ta. But the news that is drastically slower isn't a good one.

I assume you've considered other alternatives?

  1. The TAlib wrapper https://github.com/mrjbq7/ta-lib
  2. Using Backtrader itself (https://www.backtrader.com/docu/indautoref/) (which I believe re-implements them AND wraps the TAlib ones)
  3. pandas-ta - rubbish performance? (can we run with pypy?)
  4. switch to another language/library?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants