Deep Learning for Trading Signals

Traditional technical indicators are lagging summaries of price action. Deep learning allows us to move beyond these summaries, learning direct representations of the market substrate itself. But with power comes the extreme risk of overfitting to noise.

This book teaches you how to design neural signal systems that are grounded in institutional reality. You will learn to fuse price action with order book structure and alternative text data, build robust stacking layers, and implement inference paths that respect the constraints of live trading.