Publication

Abstract : Making predictions, about stock prices has always been a challenge in research even though the Efficient Market Hypothesis suggests otherwise. While it’s widely believed that it’s impossible to predict stock prices with precision there have been studies in the literature showing that accurate predictions can be made by using predictor models and relevant variables. The complexity of predicting stock market volatility adds another layer of difficulty as stock prices are influenced by factors such as conditions, psychological factors, and logical considerations. In this study, the Facebook Prophet model is utilized to forecast stock prices by analyzing data from Yahoo Finance. The experimental results indicate that Facebook Prophet can be effectively used to predict stock prices overtime periods. The research work’s emphasis on Facebook Prophet provides not only accurate forecasts but also seamless visualization, allowing users to gain confidence in analyzing, visualizing, and forecasting stock prices. This comprehensive effort provides users with the knowledge to navigate the difficulties of stock price analysis, employing automation to quickly acquire solid forecasts and visual insights, regardless of the selected stock.