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diff --git a/python-quiverquant.spec b/python-quiverquant.spec new file mode 100644 index 0000000..496b787 --- /dev/null +++ b/python-quiverquant.spec @@ -0,0 +1,410 @@ +%global _empty_manifest_terminate_build 0 +Name: python-quiverquant +Version: 0.1.57 +Release: 1 +Summary: Quiver Quantitative Alternative Data +License: MIT License +URL: https://github.com/Quiver-Quantitative/python-api +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/45/7d/7b3fd786ec0f3cb09a5c86cd38bd3b44c900e31c889d2b2a49a3c37b5c61/quiverquant-0.1.57.tar.gz +BuildArch: noarch + +Requires: python3-pandas +Requires: python3-requests + +%description +# Quiver Quantitative Alternative Data +This package allows you to access several alternative data sources which are updated daily and mapped to tickers. These include: +- Trading by US congressmen +- Corporate Lobbying +- Government Contracts +- Patents +- Off-exchange short volume +- Companies' Wikipedia page views +- Discussion on Reddit's r/wallstreetbets +- Discussion on Reddit's r/SPACs +- Companies' Twitter followings +- Flights by corporate private jets +- Political Beta +- Insider Transactions + +This data can be used for backtesting and implementing trading strategies. + +### Receiving API Token +You can sign up for a Quiver API token [here](https://api.quiverquant.com). + +The pricing starts at $10/month, please [e-mail me](mailto:chris@quiverquant.com) if that is an issue and I may be able to help cover. + +## Getting Started +#### Prerequisites +- Python version 3 installed locally +- Pip installed locally + +#### Installation +The package can easily be installed in your terminal by entering +```python +pip install quiverquant +``` + +### Usage +```python +#Import the package +import quiverquant + +#Connect to the API using your token +#Replace <TOKEN> with your token +quiver = quiverquant.quiver("<TOKEN>") + +#Get data on WallStreetBets discussion +dfWSB = quiver.wallstreetbets() + +#Get data on WallStreetBets discussion of GameStop +dfWSB_GameStop = quiver.wallstreetbets("GME") + +#Get recent trades by members of U.S. Congress +dfCongress = quiver.congress_trading() + +#Get trades of a Tesla by members of congress +dfCongress_Tesla = quiver.congress_trading("TSLA") + +#Get trades made by U.S. Senator Richard Burr +dfCongress_Burr = quiver.congress_trading("Richard Burr", politician=True) + +#Get recent corporate lobbying +dfLobbying = quiver.lobbying() + +#Get corporate lobbying by Apple +dfLobbying_Apple = quiver.lobbying("AAPL") + +#Get data on government contracts +dfContracts = quiver.gov_contracts() + +#Get data on government contracts to Lockheed Martin +dfContracts_Lockheed = quiver.gov_contracts("LMT") + +#Get data on off-exchange short volume +dfOTC = quiver.offexchange() + +#Get data on off-exchange short volume for AMC +dfOTC_AMC = quiver.offexchange("AMC") + +#Get data on Wikipedia page views +dfWiki = quiver.wikipedia() + +#Get data on Wikipedia page views of Microsoft +dfWiki_Microsoft = quiver.wikipedia("MSFT") + +#Get data on companies' Twitter following +dfTwitter = quiver.twitter() + +#Get data on GE's Twitter following +dfTwitter_GE = quiver.twitter("GE") + +#Get data on r/SPACs discussion +dfSPACs = quiver.spacs() + +#Get data on r/SPACs discussion of CCIV +dfSPACs_CCIV = quiver.spacs("CCIV") + +#Get data on recent corporate private jet flights +dfFlights = quiver.flights() + +#Get data on private jet flights by Target +dfFlights_Target = quiver.flights("TGT") + +#Get data on patents by Apple +dfPatents_Apple = quiver.patents("AAPL") + +#Get data on recent insider transactions +dfInsiders = quiver.insiders() + +#Get data on recent insider transactions by Tesla insiders +dfInsiders_Tesla = quiver.insiders("TSLA") +``` + + + + + + +%package -n python3-quiverquant +Summary: Quiver Quantitative Alternative Data +Provides: python-quiverquant +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-quiverquant +# Quiver Quantitative Alternative Data +This package allows you to access several alternative data sources which are updated daily and mapped to tickers. These include: +- Trading by US congressmen +- Corporate Lobbying +- Government Contracts +- Patents +- Off-exchange short volume +- Companies' Wikipedia page views +- Discussion on Reddit's r/wallstreetbets +- Discussion on Reddit's r/SPACs +- Companies' Twitter followings +- Flights by corporate private jets +- Political Beta +- Insider Transactions + +This data can be used for backtesting and implementing trading strategies. + +### Receiving API Token +You can sign up for a Quiver API token [here](https://api.quiverquant.com). + +The pricing starts at $10/month, please [e-mail me](mailto:chris@quiverquant.com) if that is an issue and I may be able to help cover. + +## Getting Started +#### Prerequisites +- Python version 3 installed locally +- Pip installed locally + +#### Installation +The package can easily be installed in your terminal by entering +```python +pip install quiverquant +``` + +### Usage +```python +#Import the package +import quiverquant + +#Connect to the API using your token +#Replace <TOKEN> with your token +quiver = quiverquant.quiver("<TOKEN>") + +#Get data on WallStreetBets discussion +dfWSB = quiver.wallstreetbets() + +#Get data on WallStreetBets discussion of GameStop +dfWSB_GameStop = quiver.wallstreetbets("GME") + +#Get recent trades by members of U.S. Congress +dfCongress = quiver.congress_trading() + +#Get trades of a Tesla by members of congress +dfCongress_Tesla = quiver.congress_trading("TSLA") + +#Get trades made by U.S. Senator Richard Burr +dfCongress_Burr = quiver.congress_trading("Richard Burr", politician=True) + +#Get recent corporate lobbying +dfLobbying = quiver.lobbying() + +#Get corporate lobbying by Apple +dfLobbying_Apple = quiver.lobbying("AAPL") + +#Get data on government contracts +dfContracts = quiver.gov_contracts() + +#Get data on government contracts to Lockheed Martin +dfContracts_Lockheed = quiver.gov_contracts("LMT") + +#Get data on off-exchange short volume +dfOTC = quiver.offexchange() + +#Get data on off-exchange short volume for AMC +dfOTC_AMC = quiver.offexchange("AMC") + +#Get data on Wikipedia page views +dfWiki = quiver.wikipedia() + +#Get data on Wikipedia page views of Microsoft +dfWiki_Microsoft = quiver.wikipedia("MSFT") + +#Get data on companies' Twitter following +dfTwitter = quiver.twitter() + +#Get data on GE's Twitter following +dfTwitter_GE = quiver.twitter("GE") + +#Get data on r/SPACs discussion +dfSPACs = quiver.spacs() + +#Get data on r/SPACs discussion of CCIV +dfSPACs_CCIV = quiver.spacs("CCIV") + +#Get data on recent corporate private jet flights +dfFlights = quiver.flights() + +#Get data on private jet flights by Target +dfFlights_Target = quiver.flights("TGT") + +#Get data on patents by Apple +dfPatents_Apple = quiver.patents("AAPL") + +#Get data on recent insider transactions +dfInsiders = quiver.insiders() + +#Get data on recent insider transactions by Tesla insiders +dfInsiders_Tesla = quiver.insiders("TSLA") +``` + + + + + + +%package help +Summary: Development documents and examples for quiverquant +Provides: python3-quiverquant-doc +%description help +# Quiver Quantitative Alternative Data +This package allows you to access several alternative data sources which are updated daily and mapped to tickers. These include: +- Trading by US congressmen +- Corporate Lobbying +- Government Contracts +- Patents +- Off-exchange short volume +- Companies' Wikipedia page views +- Discussion on Reddit's r/wallstreetbets +- Discussion on Reddit's r/SPACs +- Companies' Twitter followings +- Flights by corporate private jets +- Political Beta +- Insider Transactions + +This data can be used for backtesting and implementing trading strategies. + +### Receiving API Token +You can sign up for a Quiver API token [here](https://api.quiverquant.com). + +The pricing starts at $10/month, please [e-mail me](mailto:chris@quiverquant.com) if that is an issue and I may be able to help cover. + +## Getting Started +#### Prerequisites +- Python version 3 installed locally +- Pip installed locally + +#### Installation +The package can easily be installed in your terminal by entering +```python +pip install quiverquant +``` + +### Usage +```python +#Import the package +import quiverquant + +#Connect to the API using your token +#Replace <TOKEN> with your token +quiver = quiverquant.quiver("<TOKEN>") + +#Get data on WallStreetBets discussion +dfWSB = quiver.wallstreetbets() + +#Get data on WallStreetBets discussion of GameStop +dfWSB_GameStop = quiver.wallstreetbets("GME") + +#Get recent trades by members of U.S. Congress +dfCongress = quiver.congress_trading() + +#Get trades of a Tesla by members of congress +dfCongress_Tesla = quiver.congress_trading("TSLA") + +#Get trades made by U.S. Senator Richard Burr +dfCongress_Burr = quiver.congress_trading("Richard Burr", politician=True) + +#Get recent corporate lobbying +dfLobbying = quiver.lobbying() + +#Get corporate lobbying by Apple +dfLobbying_Apple = quiver.lobbying("AAPL") + +#Get data on government contracts +dfContracts = quiver.gov_contracts() + +#Get data on government contracts to Lockheed Martin +dfContracts_Lockheed = quiver.gov_contracts("LMT") + +#Get data on off-exchange short volume +dfOTC = quiver.offexchange() + +#Get data on off-exchange short volume for AMC +dfOTC_AMC = quiver.offexchange("AMC") + +#Get data on Wikipedia page views +dfWiki = quiver.wikipedia() + +#Get data on Wikipedia page views of Microsoft +dfWiki_Microsoft = quiver.wikipedia("MSFT") + +#Get data on companies' Twitter following +dfTwitter = quiver.twitter() + +#Get data on GE's Twitter following +dfTwitter_GE = quiver.twitter("GE") + +#Get data on r/SPACs discussion +dfSPACs = quiver.spacs() + +#Get data on r/SPACs discussion of CCIV +dfSPACs_CCIV = quiver.spacs("CCIV") + +#Get data on recent corporate private jet flights +dfFlights = quiver.flights() + +#Get data on private jet flights by Target +dfFlights_Target = quiver.flights("TGT") + +#Get data on patents by Apple +dfPatents_Apple = quiver.patents("AAPL") + +#Get data on recent insider transactions +dfInsiders = quiver.insiders() + +#Get data on recent insider transactions by Tesla insiders +dfInsiders_Tesla = quiver.insiders("TSLA") +``` + + + + + + +%prep +%autosetup -n quiverquant-0.1.57 + +%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-quiverquant -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.57-1 +- Package Spec generated |