Stock market prediction and trading signal detections through machine learning algorithms is a complicated task. The study gives a clear view of the technological development in Indian stock market to predict BSE (BSE-Sensex) price to estimate through machine learning which is related to Indian economic growth. An artificial intelligence (AI) and machine learning have enabled traders to analyze the market trends and generate informed decisions, based on complex algorithms. This has led to more accurate predictions and improved trading strategies, which can be used as an expert system to assist forecasting. The weekly closing data of stock prices from the year 2023 to 2024 are used for price projection through empirical prophet forecasting analysis. The projected price is validated with actual and predicted prices. The main objective of this study is to identify technological changes in Indian stock market to predict in decision-making. In addition to that, the empirical results of the prediction are studied in this paper.

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A Study of Forecasting on Indian Sensex (BSE) Using Prophet Model

  • Arup Mitra,
  • Supriyo Das,
  • Prabir Biswas,
  • A. K. Jalan

摘要

Stock market prediction and trading signal detections through machine learning algorithms is a complicated task. The study gives a clear view of the technological development in Indian stock market to predict BSE (BSE-Sensex) price to estimate through machine learning which is related to Indian economic growth. An artificial intelligence (AI) and machine learning have enabled traders to analyze the market trends and generate informed decisions, based on complex algorithms. This has led to more accurate predictions and improved trading strategies, which can be used as an expert system to assist forecasting. The weekly closing data of stock prices from the year 2023 to 2024 are used for price projection through empirical prophet forecasting analysis. The projected price is validated with actual and predicted prices. The main objective of this study is to identify technological changes in Indian stock market to predict in decision-making. In addition to that, the empirical results of the prediction are studied in this paper.