Feel free to visit FinViz website for fundamental ratios, technical indicators to news headlines and insider training data, it is a perfect stock screener. Furthermore, it has updated information on the performance of each sector, industry and any major stock index.

• Loaded the saved HTML files by identifying the folder path and directing BeautifulSoup to ‘read’ the table of headlines
• Parsed the scraped text into data and time, and Organized the data for Visualization and Analysis
• Implemented NLTK VADER for Sentiment Analysis, and Customized the Sentiment Scoring System
• Merged Sentiment scores and Headlines Data, and removed the duplicates to visualize the results
• Performed and Visualized the Sentiment on one single trading day for Facebook Stock

Tesla:

Facebook:

Link to GitHub Repository

• NLP
• Sentiment Analysis
• Text Mining
• Finance