Unofficial Python API for FinViz
The package has been uploaded to PyPi, so you can install the latest release using:
$ pip install finvizFinViz 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.
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.
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)
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:
| 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.
portfolio.create_portfolio('<portfolio-name>', '<path-to-csv-file>')>>> import finviz
>>> finviz.get_stock('AAPL')
{'Index': 'DJIA S&P500', 'P/E': '12.91', 'EPS (ttm)': '12.15',...
>>> finviz.get_insider('АAPL')
[{'Insider Trading': 'KONDO CHRIS', 'Relationship': 'Principal Accounting Officer', 'Date': 'Nov 19', 'Transaction': 'Sale', 'Cost': '190.00', '#Shares': '3,408', 'Value ($)': '647,520', '#Shares Total': '8,940', 'SEC Form 4': 'Nov 21 06:31 PM'},...
>>> finviz.get_news('AAPL')
[('Chinas Economy Slows to the Weakest Pace Since 2009', 'https://finance.yahoo.com/news/china-economy-slows-weakest-pace- 020040147.html'),...
>>>
>>> finviz.get_analyst_price_targets('AAPL')
[{'date': '2019-10-24', 'category': 'Reiterated', 'analyst': 'UBS', 'rating': 'Buy', 'price_from': 235, 'price_to': 275}, ...# Monthly, Candles, Large, No Technical Analysis
stock_list.get_charts(period='m', chart_type='c', size='l', ta='0')
# period='d' > daily
# period='w' > weekly
# period='m' > monthly
# chart_type='c' > candle
# chart_type='l' > lines
# size='m' > small
# size='l' > large
# ta='1' > display technical analysis
# ta='0' > ignore technical analysisYou can read the rest of the documentation inside the docstrings.
You can contribute to the project by reporting bugs, suggesting enhancements, or directly by extending and writing features (see the ongoing projects).
You can also buy me a coffee!
