This is a notebook on Neural networks for financial market prediction I facilitated at the Data science workshop in AIMS South Africa. It contains a mathematical proof on approximation of dynamical systems by continuous time recurrent neural networks, and a demonstration of application of RNN, LSTM and GRU to S&P 500 index return forecast.