Comments (4)
@ssantoshp , yes, I'm referring to the same issue to #77.
I have a fix in this diff: pzzhang@1ac7290
from empyrial.
Hey, what are you trying to achieve? You can use rebalancing to keep the same weights over time. Are you referring to something similar to #77? I just noticed it and will work on that!
from empyrial.
Oh my god, you're fantastic! It would have taken me some time to get back and remember how we designed this (I am not the one who implemented rebalancing). Would you like to make a pull request? I don't mind copying the file either, up to you.
from empyrial.
Fixed
from empyrial.
Related Issues (20)
- Error with stocks data HOT 1
- Can't use empyrial function when specifying rebalance HOT 9
- Can this framework set ime-varying weights for assets in the portfolio? HOT 1
- Versioneer broken when installing on python 3.12.0
- Error on pip installation
- TypeError: float() argument must be a string or a number, not 'DataFrame'
- Test example is broken HOT 2
- Error when rebalancing with only one stock HOT 5
- Graph styling HOT 3
- str and Timestamp error HOT 1
- rebalance has a bug HOT 3
- assets value / non-stock based portfolio? HOT 4
- TypeError is thrown when executing the first example snippet HOT 2
- Installation on Mac M1 Processor fails HOT 1
- Stop Auto Rebalancing HOT 3
- Rebalancing error. HOT 1
- Bloomberg HOT 5
- Assignment 3, Part2Test, getSelectedBlock() test4
- getting { TypeError: monthly_heatmap() missing 1 required positional argument: 'benchmark' } with any example HOT 1
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from empyrial.