Comments (4)
Enzo, thanks for updating the github version. I guess when I try to pip install from PyPI I still run into the same hurdle that prevents installation because that version hasn't been updated yet.
pip3 install -U cvxportfolio -i https://pypi.org/project/ cvxportfolio
Is there a way to install the version on github?
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Nevermind, I was able to point pip to this github repo using
pip3 install git+https://github.com/cvxgrp/cvxportfolio.git
Thanks for your help.
from cvxportfolio.
It's fine, you can ignore pip complaints in this case. I'll remove that constraint in the next release (there was a bug that blocked cvxpy cvxpy/cvxpy#2163 , it seems to have been fixed now).
from cvxportfolio.
Thanks for bringing this up, it has been fixed in version 0.4.6
which was just uploaded to PyPI.
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Related Issues (20)
- Failure on non-numeric (object dtpye) user-provided data difficult to understand HOT 6
- Example request - Margin in a different currency HOT 14
- BUG: packaging failed to include modules moved into submodules (constraints, data)
- Feature request: handle user-defined time-varying universes (and better error checks with temporary `nan`s in user-provided returns) HOT 13
- Data quality issues in `ftse100_daily` example strategy
- EOFError: Ran out of input HOT 4
- Rendering of code blocks in README on github is broken
- Feature request: add `market_data=None` option to `Policy.execute`
- Feature request: Add constraint priority with automatic resolution into soft-constraints HOT 1
- Is it possible to have different costs definition depending on entry or exit HOT 1
- can we load into our custom crypto data into cvxportfolio for backtesting and portfolio construction ? [bounty possible] HOT 1
- Feature Request: Online Data Loading HOT 1
- Ecos needs to added in pyproject "test" optional dependencies HOT 1
- Issue loading data from FRED HOT 9
- Testsuite failing on py 3.9 b/c of dependencies HOT 1
- The result of backtesting 30 years is different from 5 years? HOT 5
- Feature Request: Ignore Tcosts in first period HOT 2
- Incompatible with Numpy 2.0 HOT 1
- How are returns computed? HOT 1
- New Cvxportfolio versions will have the General Public License
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