Date of Publication :3rd July 2024

Abstract: As analysts in the financial business, calculating stock prices has never been an easy assignment. Research in the literature has shown that stock price movements can be predicted with the appropriate level of accuracy if the right variables are chosen and the right predictor models are created, refuting the Efficient Market Hypothesis' assertion that it is impossible to predict stock prices with any degree of accuracy. people with flexibility. Studies conducted in the literature have shown that stock price variations may be predicted with an appropriate degree of accuracy if the necessary variables are selected and appropriate predictor models are constructed. people with flexibility. In addition to economic factors, stock values are impacted by a wide range of significant psychological, intellectual, physical, and other factors. Facebook Prophet is employed in this study to predict stock prices. Stock price prediction algorithms have been developed and tested using publicly available stock data from Yahoo Finance. Prophet may generate seasonality on a daily, monthly, and annual basis, including with holiday impacts, by employing regression models. The results of the experiment indicate that Facebook Prophet is a useful tool for long-term stock price prediction.

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