versioning

README.md

@@ -11,7 +11,7 @@
         <img src="https://img.shields.io/badge/Platforms-linux--64,win--64,osx--64-orange.svg?style=flat-square"
             alt="platforms"></a> &nbsp;
     <a href="https://pypi.org/project/PyPortfolioOpt/">
-        <img src="https://img.shields.io/badge/pypi-v1.5.4-brightgreen.svg"
+        <img src="https://img.shields.io/badge/pypi-v1.5.5-brightgreen.svg"
             alt="pypi"></a> &nbsp;
     <a href="https://opensource.org/licenses/MIT">
         <img src="https://img.shields.io/badge/license-MIT-brightgreen.svg"
@@ -43,6 +43,8 @@ in a risk-efficient way.
 
 **PyPortfolioOpt has been [published](https://joss.theoj.org/papers/10.21105/joss.03066) in the Journal of Open Source Software 🎉**
 
+PyPortfolioOpt is now being maintained by [Tuan Tran](https://github.com/88d52bdba0366127fffca9dfa93895).
+
 Head over to the **[documentation on ReadTheDocs](https://pyportfolioopt.readthedocs.io/en/latest/)** to get an in-depth look at the project, or check out the [cookbook](https://github.com/robertmartin8/PyPortfolioOpt/tree/master/cookbook) to see some examples showing the full process from downloading data to building a portfolio.
 
 <center>
@@ -85,7 +87,7 @@ This project is available on PyPI, meaning that you can just:
 pip install PyPortfolioOpt
 ```
 
-(you may need to follow separate installation instructions for [cvxopt](https://cvxopt.org/install/index.html#) and [cvxpy](https://www.cvxpy.org/install/))).
+(you may need to follow separate installation instructions for [cvxopt](https://cvxopt.org/install/index.html#) and [cvxpy](https://www.cvxpy.org/install/)).
 
 However, it is best practice to use a dependency manager within a virtual environment.
 My current recommendation is to get yourself set up with [poetry](https://github.com/sdispater/poetry) then just run
@@ -423,6 +425,7 @@ Contributions are _most welcome_. Have a look at the [Contribution Guide](https:
 I'd like to thank all of the people who have contributed to PyPortfolioOpt since its release in 2018.
 Special shout-outs to:
 
+-   Tuan Tran (who is now the primary maintainer!)
 -   Philipp Schiele
 -   Carl Peasnell
 -   Felipe Schneider

docs/Roadmap.rst

@@ -43,6 +43,13 @@ Minor bug fixes
 - Fixed ``cvxpy`` deprecating deepcopy. Thanks to Philipp for the fix! 
 - Several other tiny checks and bug fixes. Cheers to everyone for the PRs! 
 
+1.5.5
+-----
+
+- `Tuan Tran <https://github.com/88d52bdba0366127fffca9dfa93895>`_ is now the primary maintainer for PyPortfolioOpt
+- Wide range of bug fixes and code improvements.
+
+
 1.4.0
 =====
 

docs/conf.py

@@ -58,7 +58,7 @@ author = "Robert Andrew Martin"
 # The short X.Y version.
 version = "1.5"
 # The full version, including alpha/beta/rc tags.
-release = "1.5.4"
+release = "1.5.5"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/index.rst

@@ -15,7 +15,7 @@
                 <img src="https://img.shields.io/badge/python-v3-brightgreen.svg"
                     alt="python"></a> &nbsp;
             <a href="https://pypi.org/project/PyPortfolioOpt/">
-                <img src="https://img.shields.io/badge/pypi-v1.5.4-brightgreen.svg"
+                <img src="https://img.shields.io/badge/pypi-v1.5.5-brightgreen.svg"
                     alt="python"></a> &nbsp;
             <a href="https://opensource.org/licenses/MIT">
                 <img src="https://img.shields.io/badge/license-MIT-brightgreen.svg"

pypfopt/__init__.py

@@ -14,7 +14,7 @@ from .efficient_frontier import (
 from .hierarchical_portfolio import HRPOpt
 from .risk_models import CovarianceShrinkage
 
-__version__ = "1.5.4"
+__version__ = "1.5.5"
 
 __all__ = [
     "market_implied_prior_returns",

setup.py

@@ -10,7 +10,7 @@ with open("README.md", "r") as f:
 if __name__ == "__main__":
     setuptools.setup(
         name="pyportfolioopt",
-        version="1.5.4",
+        version="1.5.5",
         description="Financial portfolio optimization in python",
         long_description=desc,
         long_description_content_type="text/markdown",