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https://github.com/lit26/finvizfinance

Finviz analysis python library.
https://github.com/lit26/finvizfinance

crypto earnings-calls financial-analysis forex fundament fundamental-analysis inside-trader outer-ratings pandas pypi screener stock-charts stock-news technical-analysis web-scraping

Last synced: 5 days ago
JSON representation

Finviz analysis python library.

Host: GitHub
URL: https://github.com/lit26/finvizfinance
Owner: lit26
License: mit
Created: 2020-07-23T22:38:18.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2024-10-03T16:29:36.000Z (3 months ago)
Last Synced: 2024-12-19T13:04:48.285Z (12 days ago)
Topics: crypto, earnings-calls, financial-analysis, forex, fundament, fundamental-analysis, inside-trader, outer-ratings, pandas, pypi, screener, stock-charts, stock-news, technical-analysis, web-scraping
Language: Jupyter Notebook
Homepage: https://finvizfinance.readthedocs.io/en/latest/
Size: 6.9 MB
Stars: 519
Watchers: 11
Forks: 85
Open Issues: 5
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

awesome-quant - finvizfinance - Finviz analysis python library. (Python / Visualization)

README

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# 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.

```python

from finvizfinance.quote import finvizfinance

stock = finvizfinance('tsla')

```

#### Chart

```python

stock.ticker_charts()

```

#### Fundament

```python

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

```python

stock_description = stock.ticker_description()

# stock_description

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

```

#### Outer Ratings

```python

outer_ratings_df = stock.ticker_outer_ratings()

```

![Outer Ratings example](asset/outer_rating.png)

#### Stock News

```python

news_df = stock.ticker_news()

```

![stock news example](asset/stock_news.png)

#### Inside Trader

```python

inside_trader_df = stock.ticker_inside_trader()

```

![insider trader example](asset/insider_trader.png)

### News

Getting recent financial news from finviz.

```python

from finvizfinance.news import News

fnews = News()

all_news = fnews.get_news()

```

Finviz News include 'news' and 'blogs'.

```python

all_news['news'].head()

```

![news example](asset/news_news.png)

```python

all_news['blogs'].head()

```

![news example](asset/news_blogs.png)

### Insider

Getting insider trading information.

```python

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()

```

![insider example](asset/insider.png)

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

Getting multiple tickers' information according to the filters.

#### Example: Overview

```python

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()

```

![insider example](asset/screen_overview.png)

### Screener (Ticker)

Getting list of tickers according to the filters.

### Misc (Proxy)

Optional proxy can be used for getting information from FinViz website. Accessible from finvizfinance

it's an extension of requests library proxies

```python

from finvizfinance.util import set_proxy

proxies={'http': 'http://127.0.0.1:8080'}

set_proxy(proxies)

```

### Credit

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