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%global _empty_manifest_terminate_build 0
Name: python-LNMarketBot
Version: 0.3.6
Release: 1
Summary: Trading Bot for LNMarkets
License: MIT
URL: https://github.com/DivyanshuBagga/LNMarketBot
Source0: https://mirrors.aliyun.com/pypi/web/packages/50/be/bd8cbf09f2e353dbb36fe37da95228f3cd6257358c2be3d4e64632aba36e/LNMarketBot-0.3.6.tar.gz
BuildArch: noarch
Requires: python3-requests
Requires: python3-krakenex
Requires: python3-pykrakenapi
Requires: python3-LNMarkets
Requires: python3-notifiers
Requires: python3-nest-asyncio
%description
# LNMarkets Trading Bot
A trading bot for [LNMarkets](https://lnmarkets.com/), using the [LNMarkets API](https://pypi.org/project/LNMarkets/) in Python.
To install: `pip install LNMarketBot`
An abstract class `LNMarketBot.Strategy` is provided, which must be extended with implementation of `LNMarketBot.Strategy.init()`, `LNMarketBot.Strategy.execute()`, and `LNMarketBot.Strategy.stop()` methods. The `init()` method will be called only once, before the bot starts processing price information, while `execute()` is called repetedly, for every new price bar that bot recieves. Any parameters required by the strategy, can be passed during instantiation, and will be accessible using `LNMarketBot.Strategy.params` dictionary. Example strategies are provided in LNMarketBot/Examples/ on github.
The price information is obtained from Kraken, using [Pykrakenapi](https://github.com/dominiktraxl/pykrakenapi), as the methods for same are currently not working for LNMarkets API. This may result in price discrepancy between strategy and broker execution. The price bars are of 1 minute duration, and at present, only supplied for last 12 hours. You can also provide csv files containing price information for backtesting (see examples). A strategy can consume data from multiple data feeds, and bot can process multiple strategies simultaneously.
Bot interacts with LNMarkets through `LNMarketBot.LNMBroker` class, which provides methods for buying/selling, as well as properties for viewing opne/closed positions, balance, etc. If backtesting, the strategy connects to `LNMarketBot.BacktestBroker` class instead.
You can enable Telegram or Pushover notifications through `LNMarketBot.Notifier`, which provides methods enableTelegram(chatID, token) and enablePushover(userkey, APIkey) for the same. A notifier instance is added to broker on instantiation and access via `broker.notifier` and all position updates through broker will automatically be notified. If you want to disable the automatic notification, instantiate broker with `silent=False`.
Example Usage:
```python
from LNMarketBot import Strategy, LNMBroker, KrakenData, Bot
LNMToken = '<YOUR TOKEN>'
broker = LNMBroker(LNMToken, <Starting Balance>)
telegramToken = '<Telegram Bot Token>'
chatId = <Your Chat Id with Telegram Bot>
broker.notifier.enableTelegram(chatID = chatId, token = telegramToken)
#LowestPriceStrat is provided in LNMarketBot/Examples/ on git
strategy = LowestPriceStrat(
broker=broker,
BollingerPeriod=20, Deviation=2.0,
AveragePeriod=240,
StopMargin=0.02,
BuyLimit=1.05,
TradeDistance=0.1,
RiskPercent=0.01,
TrailPercent=0.1,
CashLimit=1.0e06,
)
strategy.addData(KrakenData())
bot = Bot()
bot.addStrategy(strategy)
bot.run()
```
Note:
* LNMarket token needs only 'positions' scope. This ensures leaking it cannot result in loss of funds through withdrawal.
* This project is under development and not well tested. You are advised to review the code if you plan to use it for trading.
* The author is not responsible for any loss that may result from use of this project.
%package -n python3-LNMarketBot
Summary: Trading Bot for LNMarkets
Provides: python-LNMarketBot
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-LNMarketBot
# LNMarkets Trading Bot
A trading bot for [LNMarkets](https://lnmarkets.com/), using the [LNMarkets API](https://pypi.org/project/LNMarkets/) in Python.
To install: `pip install LNMarketBot`
An abstract class `LNMarketBot.Strategy` is provided, which must be extended with implementation of `LNMarketBot.Strategy.init()`, `LNMarketBot.Strategy.execute()`, and `LNMarketBot.Strategy.stop()` methods. The `init()` method will be called only once, before the bot starts processing price information, while `execute()` is called repetedly, for every new price bar that bot recieves. Any parameters required by the strategy, can be passed during instantiation, and will be accessible using `LNMarketBot.Strategy.params` dictionary. Example strategies are provided in LNMarketBot/Examples/ on github.
The price information is obtained from Kraken, using [Pykrakenapi](https://github.com/dominiktraxl/pykrakenapi), as the methods for same are currently not working for LNMarkets API. This may result in price discrepancy between strategy and broker execution. The price bars are of 1 minute duration, and at present, only supplied for last 12 hours. You can also provide csv files containing price information for backtesting (see examples). A strategy can consume data from multiple data feeds, and bot can process multiple strategies simultaneously.
Bot interacts with LNMarkets through `LNMarketBot.LNMBroker` class, which provides methods for buying/selling, as well as properties for viewing opne/closed positions, balance, etc. If backtesting, the strategy connects to `LNMarketBot.BacktestBroker` class instead.
You can enable Telegram or Pushover notifications through `LNMarketBot.Notifier`, which provides methods enableTelegram(chatID, token) and enablePushover(userkey, APIkey) for the same. A notifier instance is added to broker on instantiation and access via `broker.notifier` and all position updates through broker will automatically be notified. If you want to disable the automatic notification, instantiate broker with `silent=False`.
Example Usage:
```python
from LNMarketBot import Strategy, LNMBroker, KrakenData, Bot
LNMToken = '<YOUR TOKEN>'
broker = LNMBroker(LNMToken, <Starting Balance>)
telegramToken = '<Telegram Bot Token>'
chatId = <Your Chat Id with Telegram Bot>
broker.notifier.enableTelegram(chatID = chatId, token = telegramToken)
#LowestPriceStrat is provided in LNMarketBot/Examples/ on git
strategy = LowestPriceStrat(
broker=broker,
BollingerPeriod=20, Deviation=2.0,
AveragePeriod=240,
StopMargin=0.02,
BuyLimit=1.05,
TradeDistance=0.1,
RiskPercent=0.01,
TrailPercent=0.1,
CashLimit=1.0e06,
)
strategy.addData(KrakenData())
bot = Bot()
bot.addStrategy(strategy)
bot.run()
```
Note:
* LNMarket token needs only 'positions' scope. This ensures leaking it cannot result in loss of funds through withdrawal.
* This project is under development and not well tested. You are advised to review the code if you plan to use it for trading.
* The author is not responsible for any loss that may result from use of this project.
%package help
Summary: Development documents and examples for LNMarketBot
Provides: python3-LNMarketBot-doc
%description help
# LNMarkets Trading Bot
A trading bot for [LNMarkets](https://lnmarkets.com/), using the [LNMarkets API](https://pypi.org/project/LNMarkets/) in Python.
To install: `pip install LNMarketBot`
An abstract class `LNMarketBot.Strategy` is provided, which must be extended with implementation of `LNMarketBot.Strategy.init()`, `LNMarketBot.Strategy.execute()`, and `LNMarketBot.Strategy.stop()` methods. The `init()` method will be called only once, before the bot starts processing price information, while `execute()` is called repetedly, for every new price bar that bot recieves. Any parameters required by the strategy, can be passed during instantiation, and will be accessible using `LNMarketBot.Strategy.params` dictionary. Example strategies are provided in LNMarketBot/Examples/ on github.
The price information is obtained from Kraken, using [Pykrakenapi](https://github.com/dominiktraxl/pykrakenapi), as the methods for same are currently not working for LNMarkets API. This may result in price discrepancy between strategy and broker execution. The price bars are of 1 minute duration, and at present, only supplied for last 12 hours. You can also provide csv files containing price information for backtesting (see examples). A strategy can consume data from multiple data feeds, and bot can process multiple strategies simultaneously.
Bot interacts with LNMarkets through `LNMarketBot.LNMBroker` class, which provides methods for buying/selling, as well as properties for viewing opne/closed positions, balance, etc. If backtesting, the strategy connects to `LNMarketBot.BacktestBroker` class instead.
You can enable Telegram or Pushover notifications through `LNMarketBot.Notifier`, which provides methods enableTelegram(chatID, token) and enablePushover(userkey, APIkey) for the same. A notifier instance is added to broker on instantiation and access via `broker.notifier` and all position updates through broker will automatically be notified. If you want to disable the automatic notification, instantiate broker with `silent=False`.
Example Usage:
```python
from LNMarketBot import Strategy, LNMBroker, KrakenData, Bot
LNMToken = '<YOUR TOKEN>'
broker = LNMBroker(LNMToken, <Starting Balance>)
telegramToken = '<Telegram Bot Token>'
chatId = <Your Chat Id with Telegram Bot>
broker.notifier.enableTelegram(chatID = chatId, token = telegramToken)
#LowestPriceStrat is provided in LNMarketBot/Examples/ on git
strategy = LowestPriceStrat(
broker=broker,
BollingerPeriod=20, Deviation=2.0,
AveragePeriod=240,
StopMargin=0.02,
BuyLimit=1.05,
TradeDistance=0.1,
RiskPercent=0.01,
TrailPercent=0.1,
CashLimit=1.0e06,
)
strategy.addData(KrakenData())
bot = Bot()
bot.addStrategy(strategy)
bot.run()
```
Note:
* LNMarket token needs only 'positions' scope. This ensures leaking it cannot result in loss of funds through withdrawal.
* This project is under development and not well tested. You are advised to review the code if you plan to use it for trading.
* The author is not responsible for any loss that may result from use of this project.
%prep
%autosetup -n LNMarketBot-0.3.6
%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-LNMarketBot -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.6-1
- Package Spec generated
|
