1Associate Professor, Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology, Chandigarh, India
2Student, Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology, Chandigarh, India
3Student, Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology, Chandigarh, India
*(*Corresponding author) *email id: varun3dec@gmail.com
In recent years, international gold prices have been constantlyrising; gold investment and preserve (or even appreciation) effects have been widely concerned by the market. Whether it is based onspeculation, investment or hedging purposes, the gold has been in orporated into the asset allocation by many investors, which has become another important investment in addition to foreign currency, funds, stocks and securities. This paper discusses how to construct a prediction model using recurrent neural networks, long short-term memory, for gold prices to understand the future gold pricetrend, and to provide a reference for experts and investors.
Gold price prediction, LSTM, Recurrent neural networks, Deep learning, Time series prediction, Artificial intelligence, Machine learning
