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@@ -0,0 +1 @@ +/stock-analysis-engine-1.9.15.tar.gz diff --git a/python-stock-analysis-engine.spec b/python-stock-analysis-engine.spec new file mode 100644 index 0000000..abb6f66 --- /dev/null +++ b/python-stock-analysis-engine.spec @@ -0,0 +1,110 @@ +%global _empty_manifest_terminate_build 0 +Name: python-stock-analysis-engine +Version: 1.9.15 +Release: 1 +Summary: Backtest 1000s of minute-by-minute trading algorithms. Automated pricing data ingestion from: IEX Cloud (https://iexcloud.io), Tradier (https://tradier.com) and FinViz. Datasets and trading performance automatically compressed and published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes with Helm and docker-compose. >150 million trading history rows generated from +5000 algorithms +License: Apache Software License +URL: https://github.com/AlgoTraders/stock-analysis-engine +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/af/0a/840074fc4cf3817a22b590d07794d3367d896e78d26f9b416a7ed7a917b7/stock-analysis-engine-1.9.15.tar.gz +BuildArch: noarch + +Requires: python3-boto3 +Requires: python3-bs4 +Requires: python3-celery +Requires: python3-celery[redis] +Requires: python3-colorlog +Requires: python3-coverage +Requires: python3-flake8 +Requires: python3-future +Requires: python3-matplotlib +Requires: python3-mock +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-pep8 +Requires: python3-pycodestyle +Requires: python3-pylint +Requires: python3-recommonmark +Requires: python3-redis +Requires: python3-seaborn +Requires: python3-sphinx +Requires: python3-sphinx-autobuild +Requires: python3-sphinx-rtd-theme +Requires: python3-spylunking +Requires: python3-tabulate +Requires: python3-trading-calendars +Requires: python3-unittest2 +Requires: python3-urllib3 +Requires: python3-ujson +Requires: python3-vprof +Requires: python3-awscli +Requires: python3-h5py +Requires: python3-keras +Requires: python3-scikit-learn +Requires: python3-tables +Requires: python3-ta-lib +Requires: python3-tensorflow + +%description +Build and tune investment algorithms for use with `artificial intelligence (deep neural networks) <https://github.com/AlgoTraders/stock-analysis-engine/blob/master/compose/docker/notebooks/Comparing-3-Deep-Neural-Networks-Trained-to-Predict-a-Stocks-Closing-Price-Using-The-Analysis-Engine.ipynb>`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud <https://iexcloud.io/>`__, `Tradier <https://tradier.com/>`__ and `FinViz <https://finviz.com>`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more). +Kubernetes users please refer to `the Helm guide to get started <https://stock-analysis-engine.readthedocs.io/en/latest/deploy_on_kubernetes_using_helm.html>`__ and `Metalnetes for running multiple Analysis Engines at the same time on a bare-metal server <https://metalnetes.readthedocs.io/en/latest/#>`__ + +%package -n python3-stock-analysis-engine +Summary: Backtest 1000s of minute-by-minute trading algorithms. Automated pricing data ingestion from: IEX Cloud (https://iexcloud.io), Tradier (https://tradier.com) and FinViz. Datasets and trading performance automatically compressed and published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes with Helm and docker-compose. >150 million trading history rows generated from +5000 algorithms +Provides: python-stock-analysis-engine +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-stock-analysis-engine +Build and tune investment algorithms for use with `artificial intelligence (deep neural networks) <https://github.com/AlgoTraders/stock-analysis-engine/blob/master/compose/docker/notebooks/Comparing-3-Deep-Neural-Networks-Trained-to-Predict-a-Stocks-Closing-Price-Using-The-Analysis-Engine.ipynb>`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud <https://iexcloud.io/>`__, `Tradier <https://tradier.com/>`__ and `FinViz <https://finviz.com>`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more). +Kubernetes users please refer to `the Helm guide to get started <https://stock-analysis-engine.readthedocs.io/en/latest/deploy_on_kubernetes_using_helm.html>`__ and `Metalnetes for running multiple Analysis Engines at the same time on a bare-metal server <https://metalnetes.readthedocs.io/en/latest/#>`__ + +%package help +Summary: Development documents and examples for stock-analysis-engine +Provides: python3-stock-analysis-engine-doc +%description help +Build and tune investment algorithms for use with `artificial intelligence (deep neural networks) <https://github.com/AlgoTraders/stock-analysis-engine/blob/master/compose/docker/notebooks/Comparing-3-Deep-Neural-Networks-Trained-to-Predict-a-Stocks-Closing-Price-Using-The-Analysis-Engine.ipynb>`__ with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: `IEX Cloud <https://iexcloud.io/>`__, `Tradier <https://tradier.com/>`__ and `FinViz <https://finviz.com>`__ (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more). +Kubernetes users please refer to `the Helm guide to get started <https://stock-analysis-engine.readthedocs.io/en/latest/deploy_on_kubernetes_using_helm.html>`__ and `Metalnetes for running multiple Analysis Engines at the same time on a bare-metal server <https://metalnetes.readthedocs.io/en/latest/#>`__ + +%prep +%autosetup -n stock-analysis-engine-1.9.15 + +%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-stock-analysis-engine -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.9.15-1 +- Package Spec generated @@ -0,0 +1 @@ +8442f590f6df4ea5cb440333b6ffffa7 stock-analysis-engine-1.9.15.tar.gz |