Our key accomplishments for Milestone 3 were met with the succession of Milestones 1 and 2. After some we-working, we successfully developed a working application model that utilizes Jupyter notebook and Mongo DB Atlas to automate webscraping and storing of financial news articles in real time, on a daily basis. We research AI analysis methods and successfully implemented sentimental analysis and a summary of the financial news articles to be displayed through a Streamlit dashboard. We also added a stock visualization graph to illustrate the stock price analysis during the open, high, low and close of the stock market. Our Milestone 3 presentation details how we developed this application. Completing and displaying this analysis allows users to quickly scan these companies to determine a decision on their investments.
Details our project accomplishments for Milestone 3