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mariostoev committed Jan 21, 2019
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71 changes: 0 additions & 71 deletions README.md

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150 changes: 150 additions & 0 deletions README.rst
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finviz-api
########
*Unofficial Python API for FinViz*

.. image:: https://badge.fury.io/py/finviz.svg
:target: https://badge.fury.io/py/finviz

.. image:: https://img.shields.io/badge/python-3.6-blue.svg
:target: https://www.python.org/downloads/release/python-360/

.. image:: https://img.shields.io/github/stars/mariostoev/finviz.svg
:target: https://github.com/mariostoev/finviz/stargazers
:alt: Stargazers

.. image:: https://pepy.tech/badge/finviz
:target: https://pepy.tech/project/finviz

.. image:: http://hits.dwyl.io/mariostoev/finviz.svg
:target: http://hits.dwyl.io/mariostoev/finviz

Installation
-----
The package has been uploaded to PyPi_, so you can install the latest release using:

.. _PyPi: https://pypi.org/project/finviz/

.. code:: bash
$ pip install finviz
What is Finviz?
=====
FinViz_ aims to make market information accessible and provides a lot of data in visual snapshots, allowing traders and investors to quickly find the stock, future or forex pair they are looking for. The site provides advanced screeners, market maps, analysis, comparative tools and charts.

.. _FinViz: https://finviz.com/

**Important Information**

Any quotes data displayed on finviz.com is delayed by 15 minutes for NASDAQ, and 20 minutes for NYSE and AMEX. This API should **NOT** be used for live trading, it's main purpuse is financial analysis, research and data scraping.

Using Screener
=====

.. code:: python
from finviz.screener import Screener
filters = ['exch_nasd', 'idx_sp500'] # Shows companies in NASDAQ which are in the S&P500
# Get the first 50 results sorted by price ascending
stock_list = Screener(filters=filters, order='price')
# Export the screener results to .csv
stock_list.to_csv()
# Create a SQLite database
stock_list.to_sqlite()
for stock in stock_list[9:19]: # Loop through 10th - 20th stocks
print(stock['Ticker'], stock['Price']) # Print symbol and price
# Add more filters
stock_list.add(filters=['fa_div_high']) # Show stocks with high dividend yield
# or just stock_list(filters=['fa_div_high'])
# Print the table into the console
print(stock_list)
.. image:: https://i.imgur.com/cb7UdxB.png

Using Portfolio
=====
.. code:: python
from finviz.portfolio import Portfolio
portfolio = Portfolio('<your-email-address>', '<your-password>', '<portfolio-name>')
# Print the portfolio into the console
print(portfolio)
*Note that, portfolio name is optional - it would assume your default portfolio (if you have one) if you exclude it.*
The Portfolio class can also create new portfolio from an existing ``.csv`` file. The ``.csv`` file must be in the following format:


.. list-table::
:header-rows: 1

* - Ticker
- Transaction
- Date (Opt.)
- Shares
- Price (Opt.)
* - AAPL
- 1
- 05-25-2017
- 34
- 141.28
* - NVDA
- 2
-
- 250
- 243.32
* - WMT
- 1
- 01.19.2019
- 45
-

Note that, if any *optional* fields are left empty, the API will assign them today's data.

.. code:: python
portfolio.create_portfolio('<portfolio-name>', '<path-to-csv-file>')
Downloading charts
=====

.. code:: python
# Monthly, Candles, Large, No Technical Analysis
stock_list.get_charts(period='m', chart_type='c', size='l', ta=False)
# period='d' > daily
# period='w' > weekly
# period='m' > monthly
# chart_type='c' > candle
# chart_type='l' > lines
# size='m' > small
# size='l' > large
# ta=True > display technical analysis
# ta=False > ignore technical analysis
Documentation
=====

You can read the rest of the documentation inside the docstrings.

Contributing
=====
You can contribute to the project by reporting bugs, suggesting enhancements, or directly by extending and writing features (see the ongoing projects_).

.. _projects: https://github.com/mariostoev/finviz/projects/1

*You can also buy me a coffee!*

.. image:: http://rickrduncan.com/wp-content/uploads/2017/11/buy-me-coffee-paypal.png
:target: https://www.paypal.me/finvizapi
13 changes: 0 additions & 13 deletions finviz/portfolio.py
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Expand Up @@ -103,19 +103,6 @@ def create_portfolio(self, name, file):

self._session.post(PORTFOLIO_SUBMIT_URL, data=data)

def __portfolio_exists(self, func):
""" Private function used to check whether the user has an existing portfolio. """

def wrapper(*args, **kwargs):
if not self.created:
raise NoPortfolio(func.__name__)

out = func(*args, **kwargs)

return out

return wrapper

def __get_portfolio_url(self, portfolio_name):
""" Private function used to return the portfolio url from a given id/name. """

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