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|
%global _empty_manifest_terminate_build 0
Name: python-pyfinlab
Version: 0.0.30
Release: 1
Summary: Financial applications for portfolio management
License: BSD License
URL: https://github.com/nathanramoscfa/pyfinlab
Source0: https://mirrors.aliyun.com/pypi/web/packages/fa/92/12eef9c295c8b85979c8f5a3bd05ef29ebe6e6a04f01783f939dd3fe1cf4/pyfinlab-0.0.30.tar.gz
BuildArch: noarch
%description
# PyFinanceLab
PyFinanceLab is a library which brings together various financial applications into one package for financial research and portfolio management. Navigate to the jupyter folder of the pyfinlab repository to see usage examples.
PyFinanceLab is in alpha development.
## Features
* **Data API Wrapper**
The data API wrapper makes it easy to switch between [yfinance](https://github.com/ranaroussi/yfinance) (free to use) and [tia](https://github.com/PaulMest/tia) ([Bloomberg Professional Services](https://www.bloomberg.com/professional/) subscription) Python libraries for pulling financial data.
* **Portfolio Optimization**
Compute an efficient frontier of portfolios based on any one of 7 risk models and 3 return models from the [PyPortfolioOpt](https://pyportfolioopt.readthedocs.io/en/latest/) library.
* **Multifactor Scoring Model**
Analyze and rank stocks according to factors assumed to have excess returns and violate the efficient market hypothesis.
* **Optimizer Backtest**
Backtest optimized portfolios and compute performance charts, efficient frontier plots, and performance statistics.
* **Excel Report Generation**
Show your optimizer results and backtest in a nicely formatted Excel file for further analysis.
* **Stock-to-Flow Modeling**
Generate and hypothesis test stock-to-flow models for 16 cryptocurrencies with data updated daily.
## Installation
It is recommended you use Anaconda for this installation process. [Anaconda Individual Edition](https://www.anaconda.com/products/individual) is appropriate for most users. Make sure you have installed [Microsoft C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) installed on your computer. If you encounter any errors with, "Microsoft Visual C++ 14.0 is required", try following [these instructions](https://stackoverflow.com/a/55370133/16367225) to download and install Microsoft Visual C++ 14.0. If you get an error installing any of the packages below, try to install the problematic package separately.
### Setting Up Anaconda Environment for PyFinLab
Open Anaconda Prompt and create a new environment called pyfinlab.
```
conda create -n pyfinlab python=3.8 git
```
Activate the new pyfinlab environment.
```
conda activate pyfinlab
```
Install the following conda packages using conda-forge channel.
```
conda install -c conda-forge blpapi jupyterlab xlsxwriter tqdm
```
Install the following conda packages using anaconda channel.
```
conda install -c anaconda xlsxwriter statsmodels
```
Install the following GitHub repositories one at a time.
```
pip install git+https://github.com/PaulMest/tia.git#egg=tia
```
```
pip install git+https://github.com/nathanramoscfa/ffn.git
```
Install the following packages using pip.
```
pip install --upgrade-strategy only-if-needed yfinance tqdm openpyxl patsy openpyxl bt PyPortfolioOpt
```
### Installing PyFinLab
Unless you know what you are doing, it is recommended to install pyfinlab either using pip or cloning from Github, but not both in order to prevent conflicts arising from having pyfinlab installed in two locations on your computer. The developer version is the most up-to-date.
#### Developer Version (Most Up-to-Date)
Clone the GitHub repository to a project directory of your choosing.
```
git clone git+https://github.com/nathanramoscfa/pyfinlab.git
```
#### PyPI (pip)
Install pyfinlab to your environment's site-packages folder with the following command.
```
pip install pyfinlab
```
## Roadmap
Future development will include:
* **Documentation and Testing**
Documentation and testing will be published as this Python library is further developed.
%package -n python3-pyfinlab
Summary: Financial applications for portfolio management
Provides: python-pyfinlab
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pyfinlab
# PyFinanceLab
PyFinanceLab is a library which brings together various financial applications into one package for financial research and portfolio management. Navigate to the jupyter folder of the pyfinlab repository to see usage examples.
PyFinanceLab is in alpha development.
## Features
* **Data API Wrapper**
The data API wrapper makes it easy to switch between [yfinance](https://github.com/ranaroussi/yfinance) (free to use) and [tia](https://github.com/PaulMest/tia) ([Bloomberg Professional Services](https://www.bloomberg.com/professional/) subscription) Python libraries for pulling financial data.
* **Portfolio Optimization**
Compute an efficient frontier of portfolios based on any one of 7 risk models and 3 return models from the [PyPortfolioOpt](https://pyportfolioopt.readthedocs.io/en/latest/) library.
* **Multifactor Scoring Model**
Analyze and rank stocks according to factors assumed to have excess returns and violate the efficient market hypothesis.
* **Optimizer Backtest**
Backtest optimized portfolios and compute performance charts, efficient frontier plots, and performance statistics.
* **Excel Report Generation**
Show your optimizer results and backtest in a nicely formatted Excel file for further analysis.
* **Stock-to-Flow Modeling**
Generate and hypothesis test stock-to-flow models for 16 cryptocurrencies with data updated daily.
## Installation
It is recommended you use Anaconda for this installation process. [Anaconda Individual Edition](https://www.anaconda.com/products/individual) is appropriate for most users. Make sure you have installed [Microsoft C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) installed on your computer. If you encounter any errors with, "Microsoft Visual C++ 14.0 is required", try following [these instructions](https://stackoverflow.com/a/55370133/16367225) to download and install Microsoft Visual C++ 14.0. If you get an error installing any of the packages below, try to install the problematic package separately.
### Setting Up Anaconda Environment for PyFinLab
Open Anaconda Prompt and create a new environment called pyfinlab.
```
conda create -n pyfinlab python=3.8 git
```
Activate the new pyfinlab environment.
```
conda activate pyfinlab
```
Install the following conda packages using conda-forge channel.
```
conda install -c conda-forge blpapi jupyterlab xlsxwriter tqdm
```
Install the following conda packages using anaconda channel.
```
conda install -c anaconda xlsxwriter statsmodels
```
Install the following GitHub repositories one at a time.
```
pip install git+https://github.com/PaulMest/tia.git#egg=tia
```
```
pip install git+https://github.com/nathanramoscfa/ffn.git
```
Install the following packages using pip.
```
pip install --upgrade-strategy only-if-needed yfinance tqdm openpyxl patsy openpyxl bt PyPortfolioOpt
```
### Installing PyFinLab
Unless you know what you are doing, it is recommended to install pyfinlab either using pip or cloning from Github, but not both in order to prevent conflicts arising from having pyfinlab installed in two locations on your computer. The developer version is the most up-to-date.
#### Developer Version (Most Up-to-Date)
Clone the GitHub repository to a project directory of your choosing.
```
git clone git+https://github.com/nathanramoscfa/pyfinlab.git
```
#### PyPI (pip)
Install pyfinlab to your environment's site-packages folder with the following command.
```
pip install pyfinlab
```
## Roadmap
Future development will include:
* **Documentation and Testing**
Documentation and testing will be published as this Python library is further developed.
%package help
Summary: Development documents and examples for pyfinlab
Provides: python3-pyfinlab-doc
%description help
# PyFinanceLab
PyFinanceLab is a library which brings together various financial applications into one package for financial research and portfolio management. Navigate to the jupyter folder of the pyfinlab repository to see usage examples.
PyFinanceLab is in alpha development.
## Features
* **Data API Wrapper**
The data API wrapper makes it easy to switch between [yfinance](https://github.com/ranaroussi/yfinance) (free to use) and [tia](https://github.com/PaulMest/tia) ([Bloomberg Professional Services](https://www.bloomberg.com/professional/) subscription) Python libraries for pulling financial data.
* **Portfolio Optimization**
Compute an efficient frontier of portfolios based on any one of 7 risk models and 3 return models from the [PyPortfolioOpt](https://pyportfolioopt.readthedocs.io/en/latest/) library.
* **Multifactor Scoring Model**
Analyze and rank stocks according to factors assumed to have excess returns and violate the efficient market hypothesis.
* **Optimizer Backtest**
Backtest optimized portfolios and compute performance charts, efficient frontier plots, and performance statistics.
* **Excel Report Generation**
Show your optimizer results and backtest in a nicely formatted Excel file for further analysis.
* **Stock-to-Flow Modeling**
Generate and hypothesis test stock-to-flow models for 16 cryptocurrencies with data updated daily.
## Installation
It is recommended you use Anaconda for this installation process. [Anaconda Individual Edition](https://www.anaconda.com/products/individual) is appropriate for most users. Make sure you have installed [Microsoft C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) installed on your computer. If you encounter any errors with, "Microsoft Visual C++ 14.0 is required", try following [these instructions](https://stackoverflow.com/a/55370133/16367225) to download and install Microsoft Visual C++ 14.0. If you get an error installing any of the packages below, try to install the problematic package separately.
### Setting Up Anaconda Environment for PyFinLab
Open Anaconda Prompt and create a new environment called pyfinlab.
```
conda create -n pyfinlab python=3.8 git
```
Activate the new pyfinlab environment.
```
conda activate pyfinlab
```
Install the following conda packages using conda-forge channel.
```
conda install -c conda-forge blpapi jupyterlab xlsxwriter tqdm
```
Install the following conda packages using anaconda channel.
```
conda install -c anaconda xlsxwriter statsmodels
```
Install the following GitHub repositories one at a time.
```
pip install git+https://github.com/PaulMest/tia.git#egg=tia
```
```
pip install git+https://github.com/nathanramoscfa/ffn.git
```
Install the following packages using pip.
```
pip install --upgrade-strategy only-if-needed yfinance tqdm openpyxl patsy openpyxl bt PyPortfolioOpt
```
### Installing PyFinLab
Unless you know what you are doing, it is recommended to install pyfinlab either using pip or cloning from Github, but not both in order to prevent conflicts arising from having pyfinlab installed in two locations on your computer. The developer version is the most up-to-date.
#### Developer Version (Most Up-to-Date)
Clone the GitHub repository to a project directory of your choosing.
```
git clone git+https://github.com/nathanramoscfa/pyfinlab.git
```
#### PyPI (pip)
Install pyfinlab to your environment's site-packages folder with the following command.
```
pip install pyfinlab
```
## Roadmap
Future development will include:
* **Documentation and Testing**
Documentation and testing will be published as this Python library is further developed.
%prep
%autosetup -n pyfinlab-0.0.30
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-pyfinlab -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.30-1
- Package Spec generated
|
