Stock Market Analysis using Supervised using Machine Learning Technique

The stock market is extremely volatile and complex in nature, yet it is crucial to the financial element of the country's progress. Important political concerns, analyst calls, news stories, firm development and growth plans, and many more have an impact on it. Therefore, any investor would be interested in learning how the stock market has changed through time and how the aforementioned elements have an impact on the stock market's behavior. Millions of traders invest in the stock market each working day. While some of these investors do well, the majority do not. Loss or gain, however, is uneven when taking any trading day into account. There is a huge need for stock market analysis because it is so difficult to anticipate stock values. This project focuses on using statistical indicators to analyses a stock of any specific firm. These metrics come in both probabilistic and deterministic varieties. The goal of this project is to maximize profit while minimizing the risk of loss in every deal