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diff --git a/python-margot.spec b/python-margot.spec new file mode 100644 index 0000000..90c4b24 --- /dev/null +++ b/python-margot.spec @@ -0,0 +1,247 @@ +%global _empty_manifest_terminate_build 0 +Name: python-margot +Version: 1.13 +Release: 1 +Summary: An algorithmic trading framework for PyData. +License: apache-2.0 +URL: https://github.com/pymargot/margot +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ea/16/d1db37c2b0d80eb1bd36f82dfd32abf1ba404f22d4554ef2d3f5fc8ea267/margot-1.13.tar.gz +BuildArch: noarch + +Requires: python3-alpha-vantage +Requires: python3-exchange-calendars +Requires: python3-ftx +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-pyfolio +Requires: python3-pytz +Requires: python3-scipy +Requires: python3-tables +Requires: python3-versioneer + +%description +[](https://app.codacy.com/manual/pymargot/margot?utm_source=github.com&utm_medium=referral&utm_content=pymargot/margot&utm_campaign=Badge_Grade_Dashboard) +[](https://travis-ci.org/github/pymargot/margot) +[](https://margot.readthedocs.io/en/latest/?badge=latest) +[](https://codecov.io/gh/pymargot/margot) +[](https://github.com/pymargot/margot/blob/master/LICENSE) + + +[](https://pypi.org/project/margot/) + + +# What is margot? +Margot makes it super easy to backtest trading elgorithms. Firstly, Margot makes +it super easy tocreate neat and tidy Pandas dataframes for time-series analysis. + +Margot manages data collection, caching, cleaning, feature generation, +management and persistence using a clean, declarative API. If you've +ever used Django you will find this approach similar to the Django ORM. + +Margot also provides a simple framework for writing and backtesting systematic +trading algorithms. + +Results from margot's trading algorithms can be analysed using pyfolio. + +# Getting Started + + pip install margot + +Next you need to make sure you have a couple of important environment variables +set:: + + export ALPHAVANTAGE_API_KEY=YOUR_API_KEY + export DATA_CACHE=PATH_TO_FOLDER_TO_STORE_HDF5_FILES + +Once you've done that, try running the code in the [notebook](notebook.margot.data). + +# Status +This is still an early stage software project, and should not be used for live +trading just yet. + +# Documentation + +The documentation is at [readthedocs](https://margot.readthedocs.io/en/latest/). + +# Contributing + +Feel free to make a pull request or chat about your idea first using [issues](https://github.com/atkinson/margot/issues). + +Dependencies are kept to a minimum. Generally if there's a way to do something +in the standard library (or numpy / Pandas), let's do it that way rather than +add another library. + +# License +Margot is licensed for use under Apache 2.0. For details see [the License](https://github.com/atkinson/margot/blob/master/LICENSE). + + + + +%package -n python3-margot +Summary: An algorithmic trading framework for PyData. +Provides: python-margot +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-margot +[](https://app.codacy.com/manual/pymargot/margot?utm_source=github.com&utm_medium=referral&utm_content=pymargot/margot&utm_campaign=Badge_Grade_Dashboard) +[](https://travis-ci.org/github/pymargot/margot) +[](https://margot.readthedocs.io/en/latest/?badge=latest) +[](https://codecov.io/gh/pymargot/margot) +[](https://github.com/pymargot/margot/blob/master/LICENSE) + + +[](https://pypi.org/project/margot/) + + +# What is margot? +Margot makes it super easy to backtest trading elgorithms. Firstly, Margot makes +it super easy tocreate neat and tidy Pandas dataframes for time-series analysis. + +Margot manages data collection, caching, cleaning, feature generation, +management and persistence using a clean, declarative API. If you've +ever used Django you will find this approach similar to the Django ORM. + +Margot also provides a simple framework for writing and backtesting systematic +trading algorithms. + +Results from margot's trading algorithms can be analysed using pyfolio. + +# Getting Started + + pip install margot + +Next you need to make sure you have a couple of important environment variables +set:: + + export ALPHAVANTAGE_API_KEY=YOUR_API_KEY + export DATA_CACHE=PATH_TO_FOLDER_TO_STORE_HDF5_FILES + +Once you've done that, try running the code in the [notebook](notebook.margot.data). + +# Status +This is still an early stage software project, and should not be used for live +trading just yet. + +# Documentation + +The documentation is at [readthedocs](https://margot.readthedocs.io/en/latest/). + +# Contributing + +Feel free to make a pull request or chat about your idea first using [issues](https://github.com/atkinson/margot/issues). + +Dependencies are kept to a minimum. Generally if there's a way to do something +in the standard library (or numpy / Pandas), let's do it that way rather than +add another library. + +# License +Margot is licensed for use under Apache 2.0. For details see [the License](https://github.com/atkinson/margot/blob/master/LICENSE). + + + + +%package help +Summary: Development documents and examples for margot +Provides: python3-margot-doc +%description help +[](https://app.codacy.com/manual/pymargot/margot?utm_source=github.com&utm_medium=referral&utm_content=pymargot/margot&utm_campaign=Badge_Grade_Dashboard) +[](https://travis-ci.org/github/pymargot/margot) +[](https://margot.readthedocs.io/en/latest/?badge=latest) +[](https://codecov.io/gh/pymargot/margot) +[](https://github.com/pymargot/margot/blob/master/LICENSE) + + +[](https://pypi.org/project/margot/) + + +# What is margot? +Margot makes it super easy to backtest trading elgorithms. Firstly, Margot makes +it super easy tocreate neat and tidy Pandas dataframes for time-series analysis. + +Margot manages data collection, caching, cleaning, feature generation, +management and persistence using a clean, declarative API. If you've +ever used Django you will find this approach similar to the Django ORM. + +Margot also provides a simple framework for writing and backtesting systematic +trading algorithms. + +Results from margot's trading algorithms can be analysed using pyfolio. + +# Getting Started + + pip install margot + +Next you need to make sure you have a couple of important environment variables +set:: + + export ALPHAVANTAGE_API_KEY=YOUR_API_KEY + export DATA_CACHE=PATH_TO_FOLDER_TO_STORE_HDF5_FILES + +Once you've done that, try running the code in the [notebook](notebook.margot.data). + +# Status +This is still an early stage software project, and should not be used for live +trading just yet. + +# Documentation + +The documentation is at [readthedocs](https://margot.readthedocs.io/en/latest/). + +# Contributing + +Feel free to make a pull request or chat about your idea first using [issues](https://github.com/atkinson/margot/issues). + +Dependencies are kept to a minimum. Generally if there's a way to do something +in the standard library (or numpy / Pandas), let's do it that way rather than +add another library. + +# License +Margot is licensed for use under Apache 2.0. For details see [the License](https://github.com/atkinson/margot/blob/master/LICENSE). + + + + +%prep +%autosetup -n margot-1.13 + +%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-margot -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 1.13-1 +- Package Spec generated |