Discover how ATFNet leverages the dual analysis power of time and frequency domains for improved time series forecasting. By integrating complex number operations and advanced neural network architectures, ATFNet addresses challenges in spectral prediction and local-global dependencies. The method includes an extended DFT for better frequency alignment and a unique energy weighting mechanism to optimize predictions. Transformative features like Complex Spectral Attention allow the collection of diverse frequency combinations, while specialized blocks handle local time dependencies and global frequency characteristics independently. Trials on real datasets show ATFNet surpasses many existing models, offering significant advancements for traders and developers in algorithmic trading.
#MQL5 #MT5 #ATFNet #TimeSeries

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