Stocksent

<a href="https://github.com/Aryagm/Stocksent" target="blank"><img align="center" src="https://img.shields.io/badge/Stocksent-100000?logo=github&logoColor=white" /> <a href="https://pepy.tech/project/stocksent" target="blank"><img align="center" src="https://static.pepy.tech/personalized-badge/stocksent?style=for-the-badge&period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads" /> </a> </a>

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Stocksent is a Python library for sentiment analysis of various tickers from the latest news from trusted sources. It also has options for plotting results.

Installation

Use the package manager pip to install stocksent.

pip install stocksent

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Usage

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Get Sentiment of single stock

from stocksent import Sentiment
stock = Sentiment('AAPL')
sentiment_score = stock.get_sentiment()
print(sentiment_score)  # Returns a float with the sentiment score.

0.189

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Get Sentiment of multiple stocks

from stocksent import Sentiment
stocks = Sentiment(['AAPL','TSLA','GOOG'])
sentiment_score = stocks.get_sentiment(days=4) # Get the sentiment for the past 4 days.
print(sentiment_score)  # Returns a float with the sentiment score.

0.237

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Get DataFrame of headlines, source and sentiment scores

from stocksent import Sentiment
stocks = Sentiment(['AAPL','TSLA','AMZN'])
sentiment_score = stocks.get_dataframe(days=6) # Get the headlines for the past 6 days.
print(sentiment_score)  # Returns a DataFrame with headlines, source and sentiment scores.

      ticker          date	   time	                    source	                                      headline       Negative   Neutral  Positive   Overall    
  0	AAPL	2021-07-05	09:55AM	 Investor's Business Daily   Dow Jones Futures: Apple, Google, Tech Titans ...	        0.000	  1.000	    0.000    0.0000
  1	AAPL	2021-07-05	09:04AM	           The Independent   7 best VPN services for streaming and security...	        0.000	  0.645	    0.355    0.7650
  2	AAPL	2021-07-05	09:00AM	               Motley Fool   Warren Buffett Owns These Dividend-Paying Grow...	        0.000	  0.776	    0.224    0.3818
  3	AAPL	2021-07-05	06:51AM	               Motley Fool   Here's Why Bill Ackman's SPAC Deal Could Be a ...	        0.000	  0.581	    0.419    0.7579
  4	AAPL	2021-07-05	06:09AM                Barrons.com   Jeff Bezos Steps Down as CEO on Monday. Heres ...	        0.073	  0.927	    0.000   -0.0258
...	 ...	       ...	    ...	                       ...	                                           ...	          ...	    ...	      ...	...
295	AMZN	2021-06-30	12:16PM	                   Reuters   UPDATE 1-Amazon asks FTC to recuse Chairwoman ...	        0.000	  1.000	    0.000    0.0000
296	AMZN	2021-06-30	12:01PM	                   Reuters   Amazon says FTC should take new chair off its ...	        0.000	  0.841	    0.159    0.1779
297	AMZN	2021-06-30	10:13AM	               Motley Fool   3 Stocks I Would Avoid at All Costs	                0.306	  0.694	    0.000   -0.2960
298	AMZN	2021-06-30	08:43AM	             TheStreet.com   Amazon Asks FTC to Bar Chair Khan From Matters...	        0.000	  0.781     0.219    0.2023
299	AMZN	2021-06-30	08:13AM	                     Zacks   Digital Transformation Giving Cloud Business a...	        0.000	  0.495     0.505    0.6249

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Get plot of sentiment scores

from stocksent import Sentiment
stocks = Sentiment(['AAPL','TSLA','GOOG'])
stocks.plot(save_figure=True)

<img src="https://raw.githubusercontent.com/Aryagm/Stocksent/master/plot.png" alt="plot" width=450/> <br /> <br />

Get word cloud of headlines

from stocksent import Sentiment
stocks = Sentiment(['AAPL','AMZN','GOOG','TSLA'])
stocks.word_cloud(days=5) #Create a word cloud from news from the past 5 days.

<img src="https://raw.githubusercontent.com/Aryagm/Stocksent/master/word_cloud.png" alt="word cloud" width=450/> <br /> <br />

Docs

Read the docs here: https://stocksent.readthedocs.io ! <br /> <br />

Contributing

Pull requests are welcome on GitHub !

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License

Mozilla Public License Version 2.0

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Author

Arya Manjaramkar

<a href="https://www.linkedin.com/in/arya-manjaramkar" target="blank"><img align="center" src="https://img.shields.io/badge/Arya Manjaramkar-0077B5?style=for-the-badge&logo=linkedin&logoColor=white" /></a>     <a href="https://www.github.com/Aryagm" target="blank"><img align="center" src="https://img.shields.io/badge/Aryagm-100000?style=for-the-badge&logo=github&logoColor=white" /></a>

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Disclaimer

<i> The material in this repository is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion. </i>