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.
1 maintainer
Release files for finvizfinance 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| finvizfinance-0.4.tar.gz | 10.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| finvizfinance-0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.5 kB
Release files / finvizfinance-0.4.tar.gz
| Download URL | finvizfinance-0.4.tar.gz |
|---|---|
| Size | 10.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
90d4d35f667ed320f9b28a49e0fddcd76c18ee71b69e2d8f4658f6e13e685c09
|
|
BLAKE2b-256 checksum How to use checksums |
437b879cbb6a2cbbaefb49ea972beec6455f3d999e135018092b69d2696b9cf8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.5
|
Release files / finvizfinance-0.4-py3-none-any.whl
| Download URL | finvizfinance-0.4-py3-none-any.whl |
|---|---|
| Size | 16.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c158a70a9ecea7be0d3aa036afbcce8b7449d89e4c26d2effb55a309226e3fc0
|
|
BLAKE2b-256 checksum How to use checksums |
a8f33619403b9d739ccd7eca0c9d2fbec233026bbac41d0064a8d461db060d77
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.5
|
