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PDF) The erroneous use of the Haar wavelet transform for stock price prediction
Stock market comovements among Asian emerging economies: A wavelet-based approach
Wavelet analysis of the international markets: A look at the next eleven (N11) - ScienceDirect
Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index (This is the pre-prin
Fractal Markets Hypothesis and the Global Financial Crisis: Wavelet Power Evidence | Scientific Reports
arXiv:2008.06042v2 [q-fin.CP] 18 Aug 2020
Financial Time Series Analysis using Wavelets - YouTube
Stock Price Data before and after the Wavelet Transform Suppose there... | Download Scientific Diagram
Wavelet analysis and how to apply it for stock market
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Time series models with discrete wavelet transform
Fusion model of wavelet transform and adaptive neuro fuzzy inference system for stock market prediction | SpringerLink
Stock Price Data before and after the Wavelet Transform Suppose there... | Download Scientific Diagram
Wavelet analysis and how to apply it for stock market
Information | Free Full-Text | Predicting Stock Movements: Using Multiresolution Wavelet Reconstruction and Deep Learning in Neural Networks
Financial Time Series Analysis using Wavelets - YouTube
GitHub - SunHao95/PHBS_TQFML-StockIndex-Wavelet-Transformation-ARIMA-ML-Model: PHBS 2018 Machine Learning Class Project
PDF) The erroneous use of the Haar wavelet transform for stock price prediction
Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks - ScienceDirect
JRFM | Free Full-Text | A Wavelet-Based Analysis of the Co-Movement between Sukuk Bonds and Shariah Stock Indices in the GCC Region: Implications for Risk Diversification
Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks | PLOS ONE
Wavelet Analysis for Financial Market Data | nag
Adaptive wavelet transform model for time series data prediction | SpringerLink