Machine learning tool for trading built for non-data scientist to easily applying data science concept into trading knowledge
Project description
minotaur-trading
Machine learning tool for trading built for non-data scientist to easily applying data science concept into trading knowledge
Installation
Install using pip
pip install minotaur-trading
Usage Example
>>> from minotaur_trading.src.simple_chart import simple_chart
>>> simple = Simple_chart('BBCA.JK')
>>> df = simple.ingest()
>>> df = simple.set_ma(100)
>>> print(df.tail())
>>> simple.visualize(df,['Open', 'Close'])
Requirements
Using minotaur-trading requires the following packages:
* pandas
* pandas-datareader
* scikit-learn
* beautifulsoup4
* matplotlib
Install latest development version
>>> pip install git+https://github.com/Anggi-Permana-Harianja/minotaur-trading.git
or
>>> git clone https://github.com/Anggi-Permana-Harianja/minotaur-trading.git
>>> cd minotaur-trading
>>> python setup.py install
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for minotaur_trading-1.7.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fe8d52be3760a8ead30a5604eb95a42db81555cd0bef1081ee6dfeb25df464de |
|
MD5 | 3add933d7f4ddd427d317d0f65f2cbb8 |
|
BLAKE2b-256 | 21f1336d23095fdc2428868fafb217e5e7a725f2b87074ed970385fd77bd2ada |