A comparative analysis of MLP and CNN (GAF) models for time series forecasting on AAPL stock, exploring stationarity, log returns, and fractional differencing.
deep-learning tensorflow cnn quantitative-finance time-series-forecasting financial-machine-learning wqu fractional-differencing mscfe gramian-angular-fields worldquant-university algorithmic-trading-dotnet algorithmic-trade deep-learning-for-finance
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Updated
Jul 23, 2026 - Jupyter Notebook