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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
snews snews is an impactful tool from OpenBB's finance package employing VADER sentiment model to analyze stock headline sentiments over time, leveraged from Finnhub data. It also provides features to visualize these sentiments against the stock price using Python's matplotlib library.
snews
VADER model
Finnhub
stock sentiment analysis
OpenBB finance
trading strategies
data visualization
matplotlib
sentiment over time

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Get headlines sentiment using VADER model over time. [Source: Finnhub]

Source Code: [link]

openbb.stocks.ba.snews(symbol: str)

Parameters

Name Type Description Default Optional
symbol str Ticker of company None False
Returns None None True
---------- None None True
pd.DataFrame None The news article information None True

Returns

This function does not return anything

Display stock price and headlines sentiment using VADER model over time. [Source: Finnhub]

Source Code: [link]

openbb.stocks.ba.snews_chart(symbol: str, export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)

Parameters

Name Type Description Default Optional
symbol str Ticker of company None False
export str Format to export data True
external_axes Optional[List[plt.Axes]] External axes (2 axes are expected in the list), by default None None True

Returns

This function does not return anything