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
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file minotaur_trading-1.7.4-py3-none-any.whl.
File metadata
- Download URL: minotaur_trading-1.7.4-py3-none-any.whl
- Upload date:
- Size: 17.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe8d52be3760a8ead30a5604eb95a42db81555cd0bef1081ee6dfeb25df464de
|
|
| MD5 |
3add933d7f4ddd427d317d0f65f2cbb8
|
|
| BLAKE2b-256 |
21f1336d23095fdc2428868fafb217e5e7a725f2b87074ed970385fd77bd2ada
|
