Metadata-Version: 2.1
Name: stocksent
Version: 0.3.0
Summary: A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results.
Home-page: https://stocksent.readthedocs.io/
Author: Arya Manjaramkar
Author-email: aryagm01@email.com
License: Mozilla Public License 2.0
Description: 
        # Stocksent
        
        <a href="https://github.com/Aryagm/Stocksent" target="blank"><img align="center" src="https://img.shields.io/badge/Stocksent-100000?style=for-the-badge&logo=github&logoColor=white" /></a>
        
        <p align="center">
        <img src="https://raw.githubusercontent.com/Aryagm/Stocksent/master/logo.png" alt="logo" width="100"/>
        </p>
        
        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](https://pypi.org/project/stocksent/) to install stocksent.
        
        ```bash
        pip install stocksent
        ```
        <br />
        <br />
        
        ## Usage
        
        <br />
        
        ### Get Sentiment of single stock
        
        ```python 
        from stocksent import Sentiment
        stock = Sentiment('AAPL')
        sentiment_score = stock.get_sentiment()
        print(sentiment_score)  # Returns a float with the sentiment score.
        ```
        
        ```python
        0.189
        ```
        <br />
        
        ### Get Sentiment of multiple stocks
        
        ```python
        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.
        ```
        
        ```python
        0.237
        ```
        <br/>
        
        ### Get DataFrame of headlines, source and sentiment scores
        
        ```python
        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
        ```
        
        <br />
        
        ### Get plot of sentiment scores
        
        ```python
        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
        
        ```python
        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 />
        
        ## Contributing
        Pull requests are welcome on [GitHub](https://github.com/Aryagm/Stocksent) !
        
        <br />
        
        ## License
        [Mozilla Public License
        Version 2.0](https://www.mozilla.org/en-US/MPL/2.0/)
        
        <br />
        
        ## 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>  &nbsp;&nbsp;&nbsp;       <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>
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Natural Language :: English
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
