According to DeepSeek, the NSA (Natively Trainable Sparse Attention) mechanism is designed to improve ultra-fast long-context training and inference capabilities through dynamic hierarchical sparse strategy, coarse-grained token compression, and fine-grained token selection, potentially enhancing trading algorithms by increasing processing efficiency and reducing computational load.