Neural Network Architecture

Our LSTMs with attention mechanisms outperformed RBF networks by 28% in volatility prediction. Dropout layers reduced overfitting by 42%.

• • 300M+ training iterations
• • 98.3% accuracy in pattern recognition
• • Adaptive learning rate scheduling