Neural Networks

To enhance predictions in the intricate financial market landscape, AiEternal harnesses the potential of Recurrent Neural Networks (RNNs) within its advanced AI quantification technology, W1SE3, and EdgeQuant.

Unlike conventional neural network methods, RNNs offer a distinctive feature: they can incorporate historical states, providing a deeper comprehension of inputs and capturing intricate data dependencies. This attribute proves invaluable in financial asset price forecasting, where numerous variables and complex relationships are at play.

AiEternal tackles this challenge by employing a sophisticated RNN architecture with complex-valued weights. The primary goal of this RNN is to produce precise predictions that closely mirror actual values, thereby optimizing its forecasting accuracy.