finvizfinance 0.3

Finviz Finance. Information downloader.

finvizfinance

Fetch information from finviz

Quote

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

import pandas as pd
from finvizfinance.quote import finvizfinance

stock = finvizfinance('tsla')

Chart

stock.TickerCharts()

Fundament

stock_fundament = stock.TickerFundament()

# result
# stock_fundament = {'Index': '-',
#  'P/E': '-',
#  'EPS (ttm)': '-0.87',
#  'Insider Own': '0.10%',
#  'Shs Outstand': '183.00M',
#  'Perf Week': '3.00%',
#  'Market Cap': '295.14B',
#  'Forward P/E': '135.32',
#  'EPS next Y': '131.09%',
#  'Insider Trans': '-33.47%',
#  'Shs Float': '147.41M',
#  'Perf Month': '60.14%',
#  'Income': '-144.30M',...}

Description

stock_description = stock.TickerDescription()

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

Outer Ratings

outer_ratings_df = stock.TickerOuterRatings()

Stock News

news_df = stock.TickerNews()

Inside Trader

inside_trader_df = stock.TickerInsideTrader()

News

Getting recent financial news from finviz.

from finvizfinance.news import finviznews

fnews = finviznews()
all_news = fnews.getNews()

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.getInsider()

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)
df = foverview.ScreenerView()
df.head()

Screener (Ticker)

Getting list of tickers according to the filters.