%global _empty_manifest_terminate_build 0 Name: python-marketpsych Version: 0.0.15 Release: 1 Summary: Python libraries for working with MarketPsych's feeds License: MIT URL: https://github.com/marketpsych/marketpsych Source0: https://mirrors.aliyun.com/pypi/web/packages/9b/f9/cc048708744c3aa329e7ec2884c0c1ae80d6f4717a3858dd8a8842d8dcac/marketpsych-0.0.15.tar.gz BuildArch: noarch Requires: python3-dataclasses Requires: python3-datetime Requires: python3-ipywidgets Requires: python3-matplotlib Requires: python3-pandas Requires: python3-paramiko %description # MarketPsych: Power of minds over markets MarketPsych produces the global standard in financial sentiment and ESG data from the news and social media information flow. We serve global funds, corporations, banks and brokerages in over 25 countries. Our products are distributed exclusively, and in partnership, with [Refinitiv](https://www.refinitiv.com/en), a global provider of financial market data and infrastructure. MarketPsych's proprietary NLP engine evaluates thousands of market moving themes, which are further aggregated into scores. The scores form time-series that are updated every 60 seconds. Each score represents the scale and direction of the media focus on complex themes, including sentiments, sustainability and price. They can be translated directly into spreadsheets or charts that can be monitored by traders, risk managers or analysts – or they can be plugged straight into your algorithms for low frequency or longer-term asset allocation or sector rotation decisions. For more details check out our [website](https://www.marketpsych.com/). ## Features * **Wide coverage**: * 252 countries * 36,000+ global companies, sectors, and ETFs * 62 stock indexes and sovereign bonds * 44 currencies * 51 commodities * 300+ cryptocurrencies * **Long history**: 1998 to the present * **Multi-language**: sources in 12 languages * **AI-based**: machine learning NLP system * **Highly granular**: 100+ scores * **Real-time**: 60-second, hourly, and daily updates * **Sources**: 6000+ news and social media outlets ## Install MarketPsych supporting library ### pip ``` pip install marketpsych ``` ## Modules If using Jupyter Notebook, be sure to have version >= 6.0. If using Jupyter Lab, be sure to have version >= 3.0. ### sftp This library assists with loading your trialling data from SFTP directly into a Jupyter notebook. ### mpwidgets This library provides widgets through which you can set your data parameters inside a Jupyter notebook. %package -n python3-marketpsych Summary: Python libraries for working with MarketPsych's feeds Provides: python-marketpsych BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-marketpsych # MarketPsych: Power of minds over markets MarketPsych produces the global standard in financial sentiment and ESG data from the news and social media information flow. We serve global funds, corporations, banks and brokerages in over 25 countries. Our products are distributed exclusively, and in partnership, with [Refinitiv](https://www.refinitiv.com/en), a global provider of financial market data and infrastructure. MarketPsych's proprietary NLP engine evaluates thousands of market moving themes, which are further aggregated into scores. The scores form time-series that are updated every 60 seconds. Each score represents the scale and direction of the media focus on complex themes, including sentiments, sustainability and price. They can be translated directly into spreadsheets or charts that can be monitored by traders, risk managers or analysts – or they can be plugged straight into your algorithms for low frequency or longer-term asset allocation or sector rotation decisions. For more details check out our [website](https://www.marketpsych.com/). ## Features * **Wide coverage**: * 252 countries * 36,000+ global companies, sectors, and ETFs * 62 stock indexes and sovereign bonds * 44 currencies * 51 commodities * 300+ cryptocurrencies * **Long history**: 1998 to the present * **Multi-language**: sources in 12 languages * **AI-based**: machine learning NLP system * **Highly granular**: 100+ scores * **Real-time**: 60-second, hourly, and daily updates * **Sources**: 6000+ news and social media outlets ## Install MarketPsych supporting library ### pip ``` pip install marketpsych ``` ## Modules If using Jupyter Notebook, be sure to have version >= 6.0. If using Jupyter Lab, be sure to have version >= 3.0. ### sftp This library assists with loading your trialling data from SFTP directly into a Jupyter notebook. ### mpwidgets This library provides widgets through which you can set your data parameters inside a Jupyter notebook. %package help Summary: Development documents and examples for marketpsych Provides: python3-marketpsych-doc %description help # MarketPsych: Power of minds over markets MarketPsych produces the global standard in financial sentiment and ESG data from the news and social media information flow. We serve global funds, corporations, banks and brokerages in over 25 countries. Our products are distributed exclusively, and in partnership, with [Refinitiv](https://www.refinitiv.com/en), a global provider of financial market data and infrastructure. MarketPsych's proprietary NLP engine evaluates thousands of market moving themes, which are further aggregated into scores. The scores form time-series that are updated every 60 seconds. Each score represents the scale and direction of the media focus on complex themes, including sentiments, sustainability and price. They can be translated directly into spreadsheets or charts that can be monitored by traders, risk managers or analysts – or they can be plugged straight into your algorithms for low frequency or longer-term asset allocation or sector rotation decisions. For more details check out our [website](https://www.marketpsych.com/). ## Features * **Wide coverage**: * 252 countries * 36,000+ global companies, sectors, and ETFs * 62 stock indexes and sovereign bonds * 44 currencies * 51 commodities * 300+ cryptocurrencies * **Long history**: 1998 to the present * **Multi-language**: sources in 12 languages * **AI-based**: machine learning NLP system * **Highly granular**: 100+ scores * **Real-time**: 60-second, hourly, and daily updates * **Sources**: 6000+ news and social media outlets ## Install MarketPsych supporting library ### pip ``` pip install marketpsych ``` ## Modules If using Jupyter Notebook, be sure to have version >= 6.0. If using Jupyter Lab, be sure to have version >= 3.0. ### sftp This library assists with loading your trialling data from SFTP directly into a Jupyter notebook. ### mpwidgets This library provides widgets through which you can set your data parameters inside a Jupyter notebook. %prep %autosetup -n marketpsych-0.0.15 %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-marketpsych -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.0.15-1 - Package Spec generated