In today's dynamic stock market, information moves at lightning speed, leaving investors struggling to keep up. Human processing speed often lags behind, causing delays in reacting to market shifts and potentially missing crucial opportunities. This challenge hampers effective decision-making and undermines the ability to stay ahead in the financial landscape. However, news is often an indicator of fluctuations in stock and is a valuable tool in the aid of predicting stock, but with some articles sometimes taking up to 20 minutes to read, these 20 mins can make or break your balance.
Introducing BullishBearish, your go-to platform for staying ahead in the fast-paced world of finance. With BullishBearish, you're not just informed, you're empowered.
BullishBearish is a clean and minimalist website designed for easy navigation and seamless user experience. It is the next revolutionary finance app where it is accessible to everyone, including the elderly.
Get updates on the latest news impacting your favorite companies, tailored to your preferences. Our cutting-edge machine learning algorithm analyzes news articles, providing you with insights on whether the market sentiment is bullish or bearish.
Customize your experience by selecting the companies you want to follow, and receive timely notifications that matter to you. Whether you're a seasoned investor or just starting, BullishBearish is your trusted companion for making informed decisions in the stock market.
Use our Sentiment machine learning model model to predict vulnerabilities in different stock. See changes in different stocks. Find the current trending stocks, spearheaded by our algorithm and web-scraper. BullishBearish is your go to for the most up to date for all information and allows the you to make better and more informed decisions. Also find how news can possibly impact other companies within the same industry with our analyzer.
Don't just react to the market, anticipate it with BullishBearish. Elevate your financial journey today.
BullishBearish is a web application built using Express.js, a Node.js Framework. With MongoDB as the database and pure HTML, CSS, and Javascript for the front-end. The NLP model was a pre-trained spaCy model with a added trained text classification component, where it could analyze articles for potential impact to other companies. The beautiful soup library was also used to scrape data for the newest news articles and to help train the model.
As we continue to develop the application, look forward to a mobile application where the power of a Bloomberg terminal can be right in your hands!