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Gold and Silver Price Prediction in Indian Market Using Machine Learning Algorithm

  • Neha Madaan,
  • Pradeepta Kumar Sarangi,
  • Prazy Jindal,
  • Monica Dutta

摘要

Investment in Gold and Silver is one among the many options for investors to earn a good amount of money. It also strengthens the national economy. However, investors need to understand the market movement and the impact of the influencing factors. The use of suitable techniques is another important aspect of adding innovation to the stock market investment process. Prior knowledge always helps in making better investment decisions and particularly it is very useful in the case of the stock market investment industry. This research aims at predicting gold and silver prices using machine learning techniques. Data on daily prices from 1 January 2022 to 20 March 2023 was analyzed using two machine learning models: Convolutional Neural Network (CNN) and Bi-Directional Long Short-Term Memory (LSTM). To maximize returns, it was necessary to determine when the best time to invest in gold and silver. From the experiments, the CNN model was found to be more effective than the Bi-Directional LSTM model.