Gradient Descent in Algorithmic Trading
Introduction to Gradient Descent
Gradient descent is a foundational optimization algorithm in machine learning that iteratively adjusts model parameters to minimize a cost function. In algorithmic trading, where decisions must be made at high speed and scale, gradient descent enables traders to fine-tune predictive models that forecast price movements, manage