Stock Price Prediction: A Gateway to a Prosperous Future Using Data Science and Machine Learning

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Predictive analysis is a powerful tool for predicting future trends and events, and it can be useful for predicting stock prices as well. In this paper, predictive analysis for stock price prediction is done using machine learning algorithms. Predictive analysis is a kind of analytics in which we use archival data equipped with statistical models and machine learning algorithms to predict future outcomes, and it is effectively used here for stock price prediction. The intended outcome of stock forecasting is to make more briefed and calculated investment decisions. We have used a stock price prediction system that blends mathematical equations, predictive analytics, and contextual factors to enhance the accuracy of stock price predictions and generate profitable trades. For experimentation, a real-life dataset of ICICI bank is used, and the results show that our model is able to forecast future stock prices with high accuracy.