%global _empty_manifest_terminate_build 0 Name: python-finvizfinance Version: 0.14.5 Release: 1 Summary: Finviz Finance. Information downloader. License: The MIT License (MIT) URL: https://github.com/lit26/finvizfinance Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ec/ee/96349d21d2d424f791d188326982a95f71ed933c3384f4b959977fa5a731/finvizfinance-0.14.5.tar.gz BuildArch: noarch Requires: python3-pandas Requires: python3-datetime Requires: python3-requests Requires: python3-bs4 Requires: python3-lxml %description ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/finvizfinance) ![PyPI](https://img.shields.io/pypi/v/finvizfinance) ![PyPI - Wheel](https://img.shields.io/pypi/wheel/finvizfinance) ![PyPI - License](https://img.shields.io/pypi/l/finvizfinance?color=gre) [![Coverage Status](https://coveralls.io/repos/github/lit26/finvizfinance/badge.svg)](https://coveralls.io/github/lit26/finvizfinance) ![Travis (.org)](https://img.shields.io/travis/lit26/finvizfinance) ![Read the Docs](https://img.shields.io/readthedocs/finvizfinance) [![Downloads](https://pepy.tech/badge/finvizfinance)](https://pepy.tech/project/finvizfinance) [![CodeFactor](https://www.codefactor.io/repository/github/lit26/finvizfinance/badge/master)](https://www.codefactor.io/repository/github/lit26/finvizfinance/overview/master) [![Donate PayPal](https://img.shields.io/badge/Donate%20%24-PayPal-brightgreen.svg)](https://www.paypal.me/TIANNINGL/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) # finvizfinance finvizfinance is a package which collects financial information from FinViz website. The package provides the information of the following: * Stock charts, fundamental & technical information, insider information and stock news * Forex charts and performance * Crypto charts and performance Screener and Group provide dataframes for comparing stocks according to different filters and trading signals. Docs: https://finvizfinance.readthedocs.io/en/latest/ ### Downloads To download the latest version from GitHub: ``` $ git clone https://github.com/lit26/finvizfinance.git ``` Or install from PyPi: ``` $ pip install finvizfinance ``` ### Quote Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. ```python from finvizfinance.quote import finvizfinance stock = finvizfinance('tsla') ``` #### Chart ```python stock.ticker_charts() ``` #### Fundament ```python stock_fundament = stock.ticker_fundament() # result # stock_fundament = {'Company': 'Tesla, Inc.', 'Sector': 'Consumer Cyclical', # 'Industry': 'Auto Manufacturers', 'Country': 'USA', 'Index': '-', 'P/E': '849.57', # 'EPS (ttm)': '1.94', 'Insider Own': '0.10%', 'Shs Outstand': '186.00M', # 'Perf Week': '13.63%', 'Market Cap': '302.10B', 'Forward P/E': '106.17', # ...} ``` #### Description ```python stock_description = stock.ticker_description() # stock_description # stock_description = 'Tesla, Inc. designs, develops, manufactures, ...' ``` #### Outer Ratings ```python outer_ratings_df = stock.ticker_outer_ratings() ``` ![Outer Ratings example](asset/outer_rating.png) #### Stock News ```python news_df = stock.ticker_news() ``` ![stock news example](asset/stock_news.png) #### Inside Trader ```python inside_trader_df = stock.ticker_inside_trader() ``` ![insider trader example](asset/insider_trader.png) ### News Getting recent financial news from finviz. ```python from finvizfinance.news import News fnews = News() all_news = fnews.get_news() ``` Finviz News include 'news' and 'blogs'. ```python all_news['news'].head() ``` ![news example](asset/news_news.png) ```python all_news['blogs'].head() ``` ![news example](asset/news_blogs.png) ### Insider Getting insider trading information. ```python from finvizfinance.insider import Insider finsider = Insider(option='top owner trade') # option: latest, top week, top owner trade # default: latest insider_trader = finsider.get_insider() ``` ![insider example](asset/insider.png) ### Screener (Overview, Valuation, Financial, Ownership, Performance, Technical) Getting multiple tickers' information according to the filters. #### Example: Overview ```python from finvizfinance.screener.overview import Overview foverview = Overview() filters_dict = {'Index':'S&P 500','Sector':'Basic Materials'} foverview.set_filter(filters_dict=filters_dict) df = foverview.screener_view() df.head() ``` ![insider example](asset/screen_overview.png) ### Screener (Ticker) Getting list of tickers according to the filters. ### Credit Developed by Tianning Li. Feel free to give comments or suggestions. %package -n python3-finvizfinance Summary: Finviz Finance. Information downloader. Provides: python-finvizfinance BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-finvizfinance ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/finvizfinance) ![PyPI](https://img.shields.io/pypi/v/finvizfinance) ![PyPI - Wheel](https://img.shields.io/pypi/wheel/finvizfinance) ![PyPI - License](https://img.shields.io/pypi/l/finvizfinance?color=gre) [![Coverage Status](https://coveralls.io/repos/github/lit26/finvizfinance/badge.svg)](https://coveralls.io/github/lit26/finvizfinance) ![Travis (.org)](https://img.shields.io/travis/lit26/finvizfinance) ![Read the Docs](https://img.shields.io/readthedocs/finvizfinance) [![Downloads](https://pepy.tech/badge/finvizfinance)](https://pepy.tech/project/finvizfinance) [![CodeFactor](https://www.codefactor.io/repository/github/lit26/finvizfinance/badge/master)](https://www.codefactor.io/repository/github/lit26/finvizfinance/overview/master) [![Donate PayPal](https://img.shields.io/badge/Donate%20%24-PayPal-brightgreen.svg)](https://www.paypal.me/TIANNINGL/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) # finvizfinance finvizfinance is a package which collects financial information from FinViz website. The package provides the information of the following: * Stock charts, fundamental & technical information, insider information and stock news * Forex charts and performance * Crypto charts and performance Screener and Group provide dataframes for comparing stocks according to different filters and trading signals. Docs: https://finvizfinance.readthedocs.io/en/latest/ ### Downloads To download the latest version from GitHub: ``` $ git clone https://github.com/lit26/finvizfinance.git ``` Or install from PyPi: ``` $ pip install finvizfinance ``` ### Quote Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. ```python from finvizfinance.quote import finvizfinance stock = finvizfinance('tsla') ``` #### Chart ```python stock.ticker_charts() ``` #### Fundament ```python stock_fundament = stock.ticker_fundament() # result # stock_fundament = {'Company': 'Tesla, Inc.', 'Sector': 'Consumer Cyclical', # 'Industry': 'Auto Manufacturers', 'Country': 'USA', 'Index': '-', 'P/E': '849.57', # 'EPS (ttm)': '1.94', 'Insider Own': '0.10%', 'Shs Outstand': '186.00M', # 'Perf Week': '13.63%', 'Market Cap': '302.10B', 'Forward P/E': '106.17', # ...} ``` #### Description ```python stock_description = stock.ticker_description() # stock_description # stock_description = 'Tesla, Inc. designs, develops, manufactures, ...' ``` #### Outer Ratings ```python outer_ratings_df = stock.ticker_outer_ratings() ``` ![Outer Ratings example](asset/outer_rating.png) #### Stock News ```python news_df = stock.ticker_news() ``` ![stock news example](asset/stock_news.png) #### Inside Trader ```python inside_trader_df = stock.ticker_inside_trader() ``` ![insider trader example](asset/insider_trader.png) ### News Getting recent financial news from finviz. ```python from finvizfinance.news import News fnews = News() all_news = fnews.get_news() ``` Finviz News include 'news' and 'blogs'. ```python all_news['news'].head() ``` ![news example](asset/news_news.png) ```python all_news['blogs'].head() ``` ![news example](asset/news_blogs.png) ### Insider Getting insider trading information. ```python from finvizfinance.insider import Insider finsider = Insider(option='top owner trade') # option: latest, top week, top owner trade # default: latest insider_trader = finsider.get_insider() ``` ![insider example](asset/insider.png) ### Screener (Overview, Valuation, Financial, Ownership, Performance, Technical) Getting multiple tickers' information according to the filters. #### Example: Overview ```python from finvizfinance.screener.overview import Overview foverview = Overview() filters_dict = {'Index':'S&P 500','Sector':'Basic Materials'} foverview.set_filter(filters_dict=filters_dict) df = foverview.screener_view() df.head() ``` ![insider example](asset/screen_overview.png) ### Screener (Ticker) Getting list of tickers according to the filters. ### Credit Developed by Tianning Li. Feel free to give comments or suggestions. %package help Summary: Development documents and examples for finvizfinance Provides: python3-finvizfinance-doc %description help ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/finvizfinance) ![PyPI](https://img.shields.io/pypi/v/finvizfinance) ![PyPI - Wheel](https://img.shields.io/pypi/wheel/finvizfinance) ![PyPI - License](https://img.shields.io/pypi/l/finvizfinance?color=gre) [![Coverage Status](https://coveralls.io/repos/github/lit26/finvizfinance/badge.svg)](https://coveralls.io/github/lit26/finvizfinance) ![Travis (.org)](https://img.shields.io/travis/lit26/finvizfinance) ![Read the Docs](https://img.shields.io/readthedocs/finvizfinance) [![Downloads](https://pepy.tech/badge/finvizfinance)](https://pepy.tech/project/finvizfinance) [![CodeFactor](https://www.codefactor.io/repository/github/lit26/finvizfinance/badge/master)](https://www.codefactor.io/repository/github/lit26/finvizfinance/overview/master) [![Donate PayPal](https://img.shields.io/badge/Donate%20%24-PayPal-brightgreen.svg)](https://www.paypal.me/TIANNINGL/) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) # finvizfinance finvizfinance is a package which collects financial information from FinViz website. The package provides the information of the following: * Stock charts, fundamental & technical information, insider information and stock news * Forex charts and performance * Crypto charts and performance Screener and Group provide dataframes for comparing stocks according to different filters and trading signals. Docs: https://finvizfinance.readthedocs.io/en/latest/ ### Downloads To download the latest version from GitHub: ``` $ git clone https://github.com/lit26/finvizfinance.git ``` Or install from PyPi: ``` $ pip install finvizfinance ``` ### Quote Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. ```python from finvizfinance.quote import finvizfinance stock = finvizfinance('tsla') ``` #### Chart ```python stock.ticker_charts() ``` #### Fundament ```python stock_fundament = stock.ticker_fundament() # result # stock_fundament = {'Company': 'Tesla, Inc.', 'Sector': 'Consumer Cyclical', # 'Industry': 'Auto Manufacturers', 'Country': 'USA', 'Index': '-', 'P/E': '849.57', # 'EPS (ttm)': '1.94', 'Insider Own': '0.10%', 'Shs Outstand': '186.00M', # 'Perf Week': '13.63%', 'Market Cap': '302.10B', 'Forward P/E': '106.17', # ...} ``` #### Description ```python stock_description = stock.ticker_description() # stock_description # stock_description = 'Tesla, Inc. designs, develops, manufactures, ...' ``` #### Outer Ratings ```python outer_ratings_df = stock.ticker_outer_ratings() ``` ![Outer Ratings example](asset/outer_rating.png) #### Stock News ```python news_df = stock.ticker_news() ``` ![stock news example](asset/stock_news.png) #### Inside Trader ```python inside_trader_df = stock.ticker_inside_trader() ``` ![insider trader example](asset/insider_trader.png) ### News Getting recent financial news from finviz. ```python from finvizfinance.news import News fnews = News() all_news = fnews.get_news() ``` Finviz News include 'news' and 'blogs'. ```python all_news['news'].head() ``` ![news example](asset/news_news.png) ```python all_news['blogs'].head() ``` ![news example](asset/news_blogs.png) ### Insider Getting insider trading information. ```python from finvizfinance.insider import Insider finsider = Insider(option='top owner trade') # option: latest, top week, top owner trade # default: latest insider_trader = finsider.get_insider() ``` ![insider example](asset/insider.png) ### Screener (Overview, Valuation, Financial, Ownership, Performance, Technical) Getting multiple tickers' information according to the filters. #### Example: Overview ```python from finvizfinance.screener.overview import Overview foverview = Overview() filters_dict = {'Index':'S&P 500','Sector':'Basic Materials'} foverview.set_filter(filters_dict=filters_dict) df = foverview.screener_view() df.head() ``` ![insider example](asset/screen_overview.png) ### Screener (Ticker) Getting list of tickers according to the filters. ### Credit Developed by Tianning Li. Feel free to give comments or suggestions. %prep %autosetup -n finvizfinance-0.14.5 %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-finvizfinance -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 0.14.5-1 - Package Spec generated