Learn how to automate stock and cryptocurrency research using Python and deep learning in this comprehensive tutorial video. Discover techniques for web scraping financial news, summarizing articles with natural language processing, and calculating sentiment for assets like Tesla, Bitcoin, and GameStop. Master the process of building a news and sentiment pipeline, from installing dependencies to exporting results as CSV files. Gain practical skills in using libraries such as BeautifulSoup and Hugging Face Transformers for text processing and sentiment analysis. By the end of this project-based lesson, apply the knowledge to analyze various stocks and cryptocurrencies, streamlining your financial research process.