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diff --git a/python-autotrader.spec b/python-autotrader.spec new file mode 100644 index 0000000..e4bc5fb --- /dev/null +++ b/python-autotrader.spec @@ -0,0 +1,426 @@ +%global _empty_manifest_terminate_build 0 +Name: python-autotrader +Version: 0.12.0 +Release: 1 +Summary: A Python-based platform for developing, optimising and deploying automated trading systems. +License: gpl-3.0 +URL: https://kieran-mackle.github.io/AutoTrader/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a6/54/b48923bb1f96653e7b7520be835d023aaca8916f0d8816984ef5a660af6b/autotrader-0.12.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-art +Requires: python3-PyYAML +Requires: python3-bokeh +Requires: python3-scipy +Requires: python3-finta +Requires: python3-tqdm +Requires: python3-importlib-resources +Requires: python3-click +Requires: python3-requests +Requires: python3-telegram-bot +Requires: python3-psutil +Requires: python3-prometheus-client +Requires: python3-ccxt +Requires: python3-v20 +Requires: python3-ib-insync +Requires: python3-yfinance +Requires: python3-pytest +Requires: python3-black +Requires: python3-sphinx-copybutton +Requires: python3-sphinx-inline-tabs +Requires: python3-myst-parser +Requires: python3-furo +Requires: python3-sphinx-autobuild +Requires: python3-commitizen +Requires: python3-ccxt +Requires: python3-pytest +Requires: python3-black +Requires: python3-sphinx-copybutton +Requires: python3-sphinx-inline-tabs +Requires: python3-myst-parser +Requires: python3-furo +Requires: python3-sphinx-autobuild +Requires: python3-commitizen +Requires: python3-dydx-v3-python +Requires: python3-ib-insync +Requires: python3-v20 +Requires: python3-yfinance + +%description +<p align="center"> + <a href="https://kieran-mackle.github.io/AutoTrader/"> + <img src="https://user-images.githubusercontent.com/60687606/132320916-23445f43-dfdc-4949-9881-e18f622605d2.png" alt="AutoTrader Logo" width="15%" > + </a> +</p> + +<h1 align="center">AutoTrader</h1> + +<p align="center"> + <a href="https://pypi.org/project/autotrader"> + <img src="https://img.shields.io/pypi/v/autotrader.svg?color=blue&style=plastic" alt="Latest version" width=95 height=20> + </a> + + <a href="https://pepy.tech/project/autotrader"> + <img src="https://pepy.tech/badge/autotrader/month" alt="Monthly downloads" > + </a> + + <a> + <img src="https://github.com/kieran-mackle/AutoTrader/actions/workflows/tests.yml/badge.svg" alt="Build Status" > + </a> + + <a href='https://autotrader.readthedocs.io/en/latest/?badge=latest'> + <img src='https://readthedocs.org/projects/autotrader/badge/?version=latest' alt='Documentation Status' /> + </a> + + <a href="https://github.com/psf/black"> + <img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"> + </a> + +</p> + + + +AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. +A basic level of experience with Python is recommended for using AutoTrader, but the [docs](https://autotrader.readthedocs.io/en/latest/) +aim to make using it as easy as possible with detailed tutorials and documentation. + +## Latest News +- Version 0.7 has been released, adding integrations with [CCXT](https://github.com/ccxt/ccxt) and [dYdX](https://dydx.exchange/) crypto exchanges. Many more powerful upgrades too. +- AutoTrader has been featured in GitClone's recent article, [*Top Crypto Trader Open-Source Projects on Github*](https://gitclone.dev/top-crypto-trader-open-source-projects-on-github/). + +## Features +- A feature-rich trading simulator, supporting [backtesting](https://autotrader.readthedocs.io/en/latest/features/backtesting.html) and +papertrading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable +of simulating multiple order types, stop-losses and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has +more than enough to build a profitable trading system. +- [Integrated data feeds](https://kieran-mackle.github.io/AutoTrader/tutorials/price-data), making OHLC data retrieval as easy as possible. +- [Automated interactive visualisation](https://autotrader.readthedocs.io/en/latest/features/visualisation.html) using [Bokeh](https://bokeh.org/) +- [Library of custom indicators](https://autotrader.readthedocs.io/en/latest/indicators.html). +- [Live trading](https://autotrader.readthedocs.io/en/latest/features/live-trading.html) supported for multiple venues. +- [Detailed documenation and tutorials](https://autotrader.readthedocs.io/en/latest/index.html) +- [Repository](https://github.com/kieran-mackle/autotrader-demo) of example strategies + +## Supported Brokers and Exchanges + +| Broker | Asset classes | Integration status | +| -------- | ------------- | ------------------ | +| [Oanda](https://www.oanda.com/) | Forex CFDs | Complete | +| [Interactive Brokers](https://www.interactivebrokers.com/en/home.php) | Many | In progress | +| [dYdX](https://dydx.exchange/) | Cryptocurrencies | Complete | +| [CCXT](https://github.com/ccxt/ccxt) | Cryptocurrencies | In progress | + + +## Installation +AutoTrader can be installed using pip: +``` +pip install autotrader +``` +### Updating +AutoTrader can be updated by appending the `--upgrade` flag to the install command: +``` +pip install autotrader --upgrade +``` + +## Documentation +AutoTrader is very well documented in-code and on [Read the Docs](https://autotrader.readthedocs.io/en/latest/). There is also a [detailed walthrough](https://autotrader.readthedocs.io/en/latest/tutorials/walkthrough.html), covering everything from strategy concept to livetrading. + +### Example Strategies +Example strategies can be found in the [demo repository](https://github.com/kieran-mackle/autotrader-demo). + + +## Backtest Demo +The chart below is produced by a backtest of the MACD trend strategy documented in the +[tutorials](https://autotrader.readthedocs.io/en/latest/tutorials/building-strategy.html) (and available in the +[demo repository](https://github.com/kieran-mackle/autotrader-demo)). Entry signals are defined by MACD crossovers, with exit targets defined +by a 1.5 risk-to-reward ratio. Stop-losses are automatically placed using the custom +[swing detection](https://autotrader.readthedocs.io/en/latest/indicators.html#swing-detection) indicator, and position sizes are dynamically calculated based +on risk percentages defined in the strategy configuration. + +Running this strategy with AutoTrader in backtest mode will produce the following interactive chart. + +[](https://autotrader.readthedocs.io/en/latest/tutorials/backtesting.html#interactive-chart) + +Note that stop loss and take profit levels are shown for each trade taken. This allows you to see how effective your exit strategy is - are you being stopped out too +early by placing your stop losses too tight? Are you missing out on otherwise profitable trades becuase your take profits are too far away? AutoTrader helps you +visualise your strategy and answer these questions. + +## Legal +### License +AutoTrader is licensed under the [GNU General Public License v3.0](https://www.gnu.org/licenses/gpl-3.0.en.html). + +### Disclaimer +This platform is currently under heavy development and should not be considered stable for livetrading until version 1.0.0 is released. + +Never risk money you cannot afford to lose. Always test your strategies on a paper trading account before taking it live. + + +%package -n python3-autotrader +Summary: A Python-based platform for developing, optimising and deploying automated trading systems. +Provides: python-autotrader +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-autotrader +<p align="center"> + <a href="https://kieran-mackle.github.io/AutoTrader/"> + <img src="https://user-images.githubusercontent.com/60687606/132320916-23445f43-dfdc-4949-9881-e18f622605d2.png" alt="AutoTrader Logo" width="15%" > + </a> +</p> + +<h1 align="center">AutoTrader</h1> + +<p align="center"> + <a href="https://pypi.org/project/autotrader"> + <img src="https://img.shields.io/pypi/v/autotrader.svg?color=blue&style=plastic" alt="Latest version" width=95 height=20> + </a> + + <a href="https://pepy.tech/project/autotrader"> + <img src="https://pepy.tech/badge/autotrader/month" alt="Monthly downloads" > + </a> + + <a> + <img src="https://github.com/kieran-mackle/AutoTrader/actions/workflows/tests.yml/badge.svg" alt="Build Status" > + </a> + + <a href='https://autotrader.readthedocs.io/en/latest/?badge=latest'> + <img src='https://readthedocs.org/projects/autotrader/badge/?version=latest' alt='Documentation Status' /> + </a> + + <a href="https://github.com/psf/black"> + <img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"> + </a> + +</p> + + + +AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. +A basic level of experience with Python is recommended for using AutoTrader, but the [docs](https://autotrader.readthedocs.io/en/latest/) +aim to make using it as easy as possible with detailed tutorials and documentation. + +## Latest News +- Version 0.7 has been released, adding integrations with [CCXT](https://github.com/ccxt/ccxt) and [dYdX](https://dydx.exchange/) crypto exchanges. Many more powerful upgrades too. +- AutoTrader has been featured in GitClone's recent article, [*Top Crypto Trader Open-Source Projects on Github*](https://gitclone.dev/top-crypto-trader-open-source-projects-on-github/). + +## Features +- A feature-rich trading simulator, supporting [backtesting](https://autotrader.readthedocs.io/en/latest/features/backtesting.html) and +papertrading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable +of simulating multiple order types, stop-losses and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has +more than enough to build a profitable trading system. +- [Integrated data feeds](https://kieran-mackle.github.io/AutoTrader/tutorials/price-data), making OHLC data retrieval as easy as possible. +- [Automated interactive visualisation](https://autotrader.readthedocs.io/en/latest/features/visualisation.html) using [Bokeh](https://bokeh.org/) +- [Library of custom indicators](https://autotrader.readthedocs.io/en/latest/indicators.html). +- [Live trading](https://autotrader.readthedocs.io/en/latest/features/live-trading.html) supported for multiple venues. +- [Detailed documenation and tutorials](https://autotrader.readthedocs.io/en/latest/index.html) +- [Repository](https://github.com/kieran-mackle/autotrader-demo) of example strategies + +## Supported Brokers and Exchanges + +| Broker | Asset classes | Integration status | +| -------- | ------------- | ------------------ | +| [Oanda](https://www.oanda.com/) | Forex CFDs | Complete | +| [Interactive Brokers](https://www.interactivebrokers.com/en/home.php) | Many | In progress | +| [dYdX](https://dydx.exchange/) | Cryptocurrencies | Complete | +| [CCXT](https://github.com/ccxt/ccxt) | Cryptocurrencies | In progress | + + +## Installation +AutoTrader can be installed using pip: +``` +pip install autotrader +``` +### Updating +AutoTrader can be updated by appending the `--upgrade` flag to the install command: +``` +pip install autotrader --upgrade +``` + +## Documentation +AutoTrader is very well documented in-code and on [Read the Docs](https://autotrader.readthedocs.io/en/latest/). There is also a [detailed walthrough](https://autotrader.readthedocs.io/en/latest/tutorials/walkthrough.html), covering everything from strategy concept to livetrading. + +### Example Strategies +Example strategies can be found in the [demo repository](https://github.com/kieran-mackle/autotrader-demo). + + +## Backtest Demo +The chart below is produced by a backtest of the MACD trend strategy documented in the +[tutorials](https://autotrader.readthedocs.io/en/latest/tutorials/building-strategy.html) (and available in the +[demo repository](https://github.com/kieran-mackle/autotrader-demo)). Entry signals are defined by MACD crossovers, with exit targets defined +by a 1.5 risk-to-reward ratio. Stop-losses are automatically placed using the custom +[swing detection](https://autotrader.readthedocs.io/en/latest/indicators.html#swing-detection) indicator, and position sizes are dynamically calculated based +on risk percentages defined in the strategy configuration. + +Running this strategy with AutoTrader in backtest mode will produce the following interactive chart. + +[](https://autotrader.readthedocs.io/en/latest/tutorials/backtesting.html#interactive-chart) + +Note that stop loss and take profit levels are shown for each trade taken. This allows you to see how effective your exit strategy is - are you being stopped out too +early by placing your stop losses too tight? Are you missing out on otherwise profitable trades becuase your take profits are too far away? AutoTrader helps you +visualise your strategy and answer these questions. + +## Legal +### License +AutoTrader is licensed under the [GNU General Public License v3.0](https://www.gnu.org/licenses/gpl-3.0.en.html). + +### Disclaimer +This platform is currently under heavy development and should not be considered stable for livetrading until version 1.0.0 is released. + +Never risk money you cannot afford to lose. Always test your strategies on a paper trading account before taking it live. + + +%package help +Summary: Development documents and examples for autotrader +Provides: python3-autotrader-doc +%description help +<p align="center"> + <a href="https://kieran-mackle.github.io/AutoTrader/"> + <img src="https://user-images.githubusercontent.com/60687606/132320916-23445f43-dfdc-4949-9881-e18f622605d2.png" alt="AutoTrader Logo" width="15%" > + </a> +</p> + +<h1 align="center">AutoTrader</h1> + +<p align="center"> + <a href="https://pypi.org/project/autotrader"> + <img src="https://img.shields.io/pypi/v/autotrader.svg?color=blue&style=plastic" alt="Latest version" width=95 height=20> + </a> + + <a href="https://pepy.tech/project/autotrader"> + <img src="https://pepy.tech/badge/autotrader/month" alt="Monthly downloads" > + </a> + + <a> + <img src="https://github.com/kieran-mackle/AutoTrader/actions/workflows/tests.yml/badge.svg" alt="Build Status" > + </a> + + <a href='https://autotrader.readthedocs.io/en/latest/?badge=latest'> + <img src='https://readthedocs.org/projects/autotrader/badge/?version=latest' alt='Documentation Status' /> + </a> + + <a href="https://github.com/psf/black"> + <img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"> + </a> + +</p> + + + +AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. +A basic level of experience with Python is recommended for using AutoTrader, but the [docs](https://autotrader.readthedocs.io/en/latest/) +aim to make using it as easy as possible with detailed tutorials and documentation. + +## Latest News +- Version 0.7 has been released, adding integrations with [CCXT](https://github.com/ccxt/ccxt) and [dYdX](https://dydx.exchange/) crypto exchanges. Many more powerful upgrades too. +- AutoTrader has been featured in GitClone's recent article, [*Top Crypto Trader Open-Source Projects on Github*](https://gitclone.dev/top-crypto-trader-open-source-projects-on-github/). + +## Features +- A feature-rich trading simulator, supporting [backtesting](https://autotrader.readthedocs.io/en/latest/features/backtesting.html) and +papertrading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable +of simulating multiple order types, stop-losses and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has +more than enough to build a profitable trading system. +- [Integrated data feeds](https://kieran-mackle.github.io/AutoTrader/tutorials/price-data), making OHLC data retrieval as easy as possible. +- [Automated interactive visualisation](https://autotrader.readthedocs.io/en/latest/features/visualisation.html) using [Bokeh](https://bokeh.org/) +- [Library of custom indicators](https://autotrader.readthedocs.io/en/latest/indicators.html). +- [Live trading](https://autotrader.readthedocs.io/en/latest/features/live-trading.html) supported for multiple venues. +- [Detailed documenation and tutorials](https://autotrader.readthedocs.io/en/latest/index.html) +- [Repository](https://github.com/kieran-mackle/autotrader-demo) of example strategies + +## Supported Brokers and Exchanges + +| Broker | Asset classes | Integration status | +| -------- | ------------- | ------------------ | +| [Oanda](https://www.oanda.com/) | Forex CFDs | Complete | +| [Interactive Brokers](https://www.interactivebrokers.com/en/home.php) | Many | In progress | +| [dYdX](https://dydx.exchange/) | Cryptocurrencies | Complete | +| [CCXT](https://github.com/ccxt/ccxt) | Cryptocurrencies | In progress | + + +## Installation +AutoTrader can be installed using pip: +``` +pip install autotrader +``` +### Updating +AutoTrader can be updated by appending the `--upgrade` flag to the install command: +``` +pip install autotrader --upgrade +``` + +## Documentation +AutoTrader is very well documented in-code and on [Read the Docs](https://autotrader.readthedocs.io/en/latest/). There is also a [detailed walthrough](https://autotrader.readthedocs.io/en/latest/tutorials/walkthrough.html), covering everything from strategy concept to livetrading. + +### Example Strategies +Example strategies can be found in the [demo repository](https://github.com/kieran-mackle/autotrader-demo). + + +## Backtest Demo +The chart below is produced by a backtest of the MACD trend strategy documented in the +[tutorials](https://autotrader.readthedocs.io/en/latest/tutorials/building-strategy.html) (and available in the +[demo repository](https://github.com/kieran-mackle/autotrader-demo)). Entry signals are defined by MACD crossovers, with exit targets defined +by a 1.5 risk-to-reward ratio. Stop-losses are automatically placed using the custom +[swing detection](https://autotrader.readthedocs.io/en/latest/indicators.html#swing-detection) indicator, and position sizes are dynamically calculated based +on risk percentages defined in the strategy configuration. + +Running this strategy with AutoTrader in backtest mode will produce the following interactive chart. + +[](https://autotrader.readthedocs.io/en/latest/tutorials/backtesting.html#interactive-chart) + +Note that stop loss and take profit levels are shown for each trade taken. This allows you to see how effective your exit strategy is - are you being stopped out too +early by placing your stop losses too tight? Are you missing out on otherwise profitable trades becuase your take profits are too far away? AutoTrader helps you +visualise your strategy and answer these questions. + +## Legal +### License +AutoTrader is licensed under the [GNU General Public License v3.0](https://www.gnu.org/licenses/gpl-3.0.en.html). + +### Disclaimer +This platform is currently under heavy development and should not be considered stable for livetrading until version 1.0.0 is released. + +Never risk money you cannot afford to lose. Always test your strategies on a paper trading account before taking it live. + + +%prep +%autosetup -n autotrader-0.12.0 + +%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-autotrader -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.0-1 +- Package Spec generated |