In this chapter, we learned how to apply our deep learning knowledge to the financial services sector. We learned the principles of trading systems, and then designed a trading system of our own in TensorFlow. We then looked at how we can create a different type of trading system, one that utilizes events surrounding a company to predict its stock prices. Lastly, we explored a novel technique for embedding the stock market and utilizing those embeddings to predict price movement.
Financial markets can be tricky to model due to their properties, but the techniques that we have covered in this chapter will give you the basis to build further models. Remember to always backtest your algorithm before deploying it in a real-time environment!
In the next chapter, we're going to move on to what many people in the general public imagine Artificial Intelligence (AI) to be...
