The financial market is a very important part of any economy. For an economy to thrive, its financial market must be solid. Since the advent of machine learning, companies have begun to adopt algorithmic trading in the purchase of stocks and other financial assets. There has been proven successful with this method, and it has risen in prominence over time. Given its rise, several machine models have been developed and adopted for algorithmic trading. One popular machine learning model for trading is the time series analysis. You have already learned about reinforcement learning and Keras, and in this chapter, they will be used to develop a model that can predict stock prices.
Predicting Future Stock Prices
Get Python Reinforcement Learning Projects now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
