finvizfinance 0.11.1

Finviz Finance. Information downloader.

finvizfinance

finvizfinance is a package which collects financial information from FinViz website. The package provides the information of the following:

• Stock charts, fundamental & technical information, insider information and stock news
• Forex charts and performance
• Crypto charts and performance

Screener and Group provide dataframes for comparing stocks according to different filters and trading signals.

Docs: https://finvizfinance.readthedocs.io/en/latest/

Downloads

To download the latest version from GitHub:

$ git clone https://github.com/lit26/finvizfinance.git

Or install from PyPi:

$ pip install finvizfinance

Quote

Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock.

from finvizfinance.quote import finvizfinance

stock = finvizfinance('tsla')

Chart

stock.ticker_charts()

Fundament

stock_fundament = stock.ticker_fundament()

# result
# stock_fundament = {'Company': 'Tesla, Inc.', 'Sector': 'Consumer Cyclical', 
# 'Industry': 'Auto Manufacturers', 'Country': 'USA', 'Index': '-', 'P/E': '849.57', 
# 'EPS (ttm)': '1.94', 'Insider Own': '0.10%', 'Shs Outstand': '186.00M', 
# 'Perf Week': '13.63%', 'Market Cap': '302.10B', 'Forward P/E': '106.17',
# ...}

Description

stock_description = stock.ticker_description()

# stock_description
# stock_description = 'Tesla, Inc. designs, develops, manufactures, ...'

Outer Ratings

outer_ratings_df = stock.ticker_outer_ratings()

Stock News

news_df = stock.ticker_news()

Inside Trader

inside_trader_df = stock.ticker_inside_trader()

News

Getting recent financial news from finviz.

from finvizfinance.news import News

fnews = News()
all_news = fnews.get_news()

Finviz News include 'news' and 'blogs'.

all_news['news'].head()

all_news['blogs'].head()

Insider

Getting insider trading information.

from finvizfinance.insider import Insider

finsider = Insider(option='top owner trade')
# option: latest, top week, top owner trade
# default: latest

insider_trader = finsider.get_insider()

Screener (Overview, Valuation, Financial, Ownership, Performance, Technical)

Getting multiple tickers' information according to the filters.

Example: Overview

from finvizfinance.screener.overview import Overview

foverview = Overview()
filters_dict = {'Index':'S&P 500','Sector':'Basic Materials'}
foverview.set_filter(filters_dict=filters_dict)
df = foverview.screener_view()
df.head()

Screener (Ticker)

Getting list of tickers according to the filters.

Credit

Developed by Tianning Li. Feel free to give comments or suggestions.