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Gold price prediction by a CNN-Bi-LSTM model along with automatic parameter tuning
16 references·0 citing·44 second hop
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An Analysis of Stocks, Bonds and Gold (2009)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)Comparing Predictive Accuracy (1994)Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting (2020)Stock market index prediction based on reservoir computing models (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock market prediction using deep learning algorithms (2021)Introduction to Time Series and Forecasting (2002)Introduction to time series analysis and forecasting (2008)Introduction to Time Series and Forecasting (2016)Analysis of Bitcoin Price Prediction Using Machine Learning (2023)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Data-driven stock forecasting models based on neural networks: A review (2024)A forecast comparison of volatility models: does anything beat a GARCH(1,1)? (2005)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)A new decomposition ensemble model for stock price forecasting based on system clustering and particle swarm optimization (2022)A novel deep learning carbon price short-term prediction model with dual-stage attention mechanism (2023)Forecasting carbon price in China unified carbon market using a novel hybrid method with three-stage algorithm and long short-term memory neural networks (2023)Copper price estimation using bat algorithm (2017)A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning (2023)
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References

  • 2020A CNN–LSTM model for gold price time-series forecasting900 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction654 cited
  • 2020Gold volatility prediction using a CNN-LSTM approach274 cited
  • 2020Bayesian BILSTM approach for tourism demand forecasting235 cited
  • 2022Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM206 cited
  • 2020Portfolio Optimization-Based Stock Prediction Using Long-Short Term Memory Network in Quantitative Trading191 cited
  • 2021An Advanced CNN-LSTM Model for Cryptocurrency Forecasting183 cited
  • 2015Gold Price Forecasting Using ARIMA Model133 cited
  • 2020Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation129 cited
  • 2020Forecasting significant stock price changes using neural networks117 cited
  • 2022A stock price prediction method based on meta-learning and variational mode decomposition109 cited
  • 2022China’s commercial bank stock price prediction using a novel K-means-LSTM hybrid approach108 cited
  • 2020Bitcoin price forecasting method based on CNN‐LSTM hybrid neural network model85 cited
  • 2021Stock Price Forecast Based on CNN-BiLSTM-ECA Model73 cited
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Prediction of gold price with ARIMA and SVM
72 cited
  • 2021Short-Term Forecasting of Agriculture Commodities in Context of Indian Market for Sustainable Agriculture by Using the Artificial Neural Network68 cited
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