# Neural Networks

<figure><img src="/files/6l4FK1l3YmbeBuw5isLN" alt=""><figcaption></figcaption></figure>

&#x20;the pursuit of improved predictions in the complex financial market, AiStrat leverages the power of Recurrent Neural Networks (RNNs) within its AI quantification technology, W1SE3, and EdgeQuant. Unlike traditional neural network approaches, RNNs possess the unique ability to incorporate past states, enabling a deeper understanding of inputs and capturing dependencies within the data. This becomes particularly advantageous in financial asset price prediction, where multiple variables and intricate relationships are involved. To tackle this complexity, AiStrat employs a sophisticated RNN with complex-valued weights. The objective of this RNN is to generate accurate predictions that closely align with actual values, thereby optimizing its forecasting capabilities.


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