There might not be enough data to train a NN, and it's probably prone to overfitting the model. It's a similar problem to using NN to predict the stock market.

There might not be enough data to train a NN, and it's probably prone to overfitting the model. It's a similar problem to using NN to predict the stock market. You might have better luck with shallow learning statistical techniques that require less data to train a model.