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BullETS-0.1.1
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مشاهده بیشترتوضیحات
BullETS is a Python package designed to help with the development of algorithmic trading strategies.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | BullETS-0.1.1 |
| نام | BullETS |
| نسخه کتابخانه | 0.1.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | AlgoÉTS |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/AlgoETS/BullETS |
| آدرس اینترنتی | https://pypi.org/project/BullETS/ |
| مجوز | Apache 2.0 |
# BullETS
BullETS is a Python library designed to help with the development of algorithmic trading strategies.
## Upcoming features
- Retrieve stock data
- Trading portfolio management
- Backtesting framework
## Installation
This section will assume you have **Python** installed, if not, you can download & install it from [here](https://www.python.org/downloads/).
We strongly recommend using a [virtual environment](https://docs.python.org/3/library/venv.html) to keep BullETS and its dependencies from interfering with your system installs.
### Initializing and running a virtual environment
Windows:
```shell
# Initializing a virtual environment in the ./venv directory
py -3 -m venv venv
# Activating the virtual environment
venv\Scripts\activate.bat
```
Mac OS & Linux:
```shell
# Initializing a virtual environment in the ./venv directory
python3 -m venv bot-env
# Activating the virtual environment (Mac OS & Linux)
source bot-env/bin/activate
```
### Using BullETS to develop a strategy
1. Register an account on the [FinancialModelingPrep website](https://financialmodelingprep.com/developer) and retrieve your API key
2. Create a new folder, initialize and activate a virtual environment inside (see above)
3. Install [BullETS](https://pypi.org/project/BullETS/) from PyPI
```shell
pip install BullETS
```
4. Code your own strategy
```python
from bullets.strategy import Strategy, Resolution
from bullets.runner import Runner
from bullets.data_source.data_source_fmp import FmpDataSource
from datetime import datetime
# Extend the default strategy from BullETS
class MyStrategy(Strategy):
# You can access the `portfolio` and the `data_source` variables to retrieve information for your strategy
# You are also free to add your own data sources here and use them
# Redefine this function to perform a task when the strategy starts
def on_start(self):
pass
# Redefine this function to perform a task on each resolution
def on_resolution(self):
self.portfolio.market_order("AAPL", 5)
# Redefine this function to perform a task at the end of the strategy
def on_finish(self):
pass
# Initialize your new strategy
if __name__ == '__main__':
resolution = Resolution.DAILY # Define your resolution (DAILY, HOURLY or MINUTE)
start_time = datetime(2019, 3, 5) # Define your strategy start time
end_time = datetime(2019, 4, 22) # Define your strategy end time
data_source = FmpDataSource("Insert your key here", resolution) # Initialize the FMP data source with your API key and resolution
strategy = MyStrategy(resolution=resolution,
start_time=start_time,
end_time=end_time,
starting_balance=5000,
data_source=data_source)
runner = Runner(strategy) # Initialize the runner, which handles the execution of your strategy
runner.start() # Start the runner and your strategy
```
This section only covers the basic features to develop a strategy. BullETS has other features, such as slippage, transaction fees, and many others. Stay updated for our upcoming detailed documentation that demonstrates how to use these features.
### Development mode
This section covers the installation process if you wish to **contribute** to the library.
1. Clone the repo and go to the library's root directory
``` shell
# Clone this repository
git clone https://github.com/AlgoETS/BullETS
# Move to the BullETS directory
cd BullETS
```
2. Initialize and run a virtual environment (see above)
3. Install BullETS in editable mode (while the virtual environment is activated)
```shell
pip install -e .
```
4. Setup environment variables
1. Make a copy of the `.env.sample` file and name it `.env`
2. Replace the required values inside the `.env` file
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl BullETS-0.1.1:
pip install BullETS-0.1.1.whl
نصب پکیج tar.gz BullETS-0.1.1:
pip install BullETS-0.1.1.tar.gz