semvec/pypi-packages huggingface dataset:
aa-gen 0.0.13
A simple ascii art generator
Requires Python: >=3.7

## Simple Ascii Art Generator

aa-gen is a simple ascii art generator that can turn the input text into ascii art for output.

## Example

```sh
$ aa-gen -t Python



  .....                      ex
 45PPP55M.             5l    5E
 45     5R es      et+45w@@  5E @ee@.      @eewL    +@I3@eMs
 45     55 75l    65`/%5[77  555""755l   45P""755x  455[""P5RI
 45eeee55"  5R.  45[   5l    55     55  45[     %5I 45[    85E
 45""""`    75s  5[    5l    5E     45  55      45l 45l     5E
 45          75L45     5l    5E     45  75L     45` 45l     5E
 45           555[     55@@  5E     45   %5ML.@65[  45l     5E
 /7           45[      "777  7"     /7    "7PP["    /7`     7"
              5k
             45[
             ""

```
stockie 1.0.25
A package to identify stock candlestick pattern
Requires Python: >=3.6

Stockie
=======

a stock screener to help the stock traders in making a trading decisions. 

Feature in Stockie 1.0
====================== 

* **Multiple stock input**, This version allows multiple inputs for stock to be analyzed or displayed later.  
* **Tabular of candlestick detector**, you can show the table that shows whether a specific candlestick pattern has formed or not, with totally more than 50 patterns.
* **Interactive Candlestick stock screener**, an interactive HTML display of stock in candlestick.
* **Happening Pattern**, 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
=====

Installing
~~~~~~~~~~

.. code:: python

	!pip install stockie


Import
~~~~~~

.. code:: 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.

.. code:: python

	a = stockie(['UNVR.JK','AAPL','AMZN.BA'])


Display tabular data
~~~~~~~~~~~~~~~~~~~~

.. code:: python

	df = a.find_pattern()['AAPL']


Stock screener
~~~~~~~~~~~~~~

.. code:: python

	a.get_candlestick_report()





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