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Combining the real-time wavelet denoising and long-short-term-memory neural network for predicting stock indexes

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References

2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
2009The effect of noise reduction in measuring the linear and nonlinear dependency of financial markets79 cited
2016Prediction of Stock Market Price using Hybrid of Wavelet Transform and Artificial Neural Network54 cited
2002Time Series Forecasting Using Wavelet Denoising an Application to Saudi Stock Index45 cited
2017Prediction by a Hybrid of Wavelet Transform and Long-Short-Term-Memory Neural Network39 cited

Cited by

2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,559 cited
2021Applications of deep learning in stock market prediction: Recent progress774 cited
2021A Survey of Forex and Stock Price Prediction Using Deep Learning432 cited
2019Study on the prediction of stock price based on the associated network model of LSTM309 cited
2024Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer32 cited
2023MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction29 cited
2023Financial time series prediction under Covid-19 pandemic crisis with Long Short-Term Memory (LSTM) network26 cited

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