Metadata-Version: 2.1
Name: stockie
Version: 1.0.13
Summary: A package to identify stock candlestick pattern
Home-page: https://github.com/suparjotamin/stockie
Author: Suparjo Tamin
Author-email: suparjo.tamin@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: yfinance
Requires-Dist: mpl-finance

# Stockie

a stock screener to help stock trader in making trading decision. 

# Feature in Stockie 1.0 
* **Multiple stock input** <br>
This version allows multiple input for stock to be analyzed or displayed later.  
* **Tabular of candlestick detector** <br>
you can show the table that show whether a specific candlestick pattern has formed or not, with total more than 50 patterns.
* **Interactive Candlestick stock screener** <br>
an interactive HTML display of stock in candlestick.
* **Happening Pattern** <br>
a table that show the currenly happening  pattern in last 10 days with it's accuracy based on the past and number their occurance. 

# Setup
### Install the package
```python
!pip install stockie
```
### Import
```python
from Stockie.stockie import stockie
```

# Utilization
### load in stock name
To load in the data, We use [yfinance](https://pypi.org/project/yfinance/) package which is included inside. So, the input just nned to be the ticker of the stock which is registered.
```python
a = stockie(['UNVR.JK','AAPL','AMZN.BA'])
```
### display tabular data
```python
df = a.find_pattern()['AAPL']
```
<img alt="Notebook Widgets" src="https://github.com/suparjotamin/stockie/blob/master/Asset/sample%20tab%20gif.gif" width="600" />

### Stock screener
```python
a.get_candlestick_report()
```

<img alt="Notebook Widgets" src="https://github.com/suparjotamin/stockie/blob/master/Asset/screener.gif" width="600" />



