Building an advanced stock trading RL platform to train agents to mimic professional traders

This recipe will help you implement a complete stock trading environment with high-dimensional image observation spaces and continuous action spaces for training your RL and deep RL agents. This will allow you to build intelligent trading bots using RL so that you can closely approximate how a professional stock trader would trade stocks. Like a professional trader, the RL agent you'll train will watch the stock market data in the form of candlesticks and price line charts and make trading decisions. A well-trained RL agent could potentially make thousands of profitable trades without needing a break or commission, unlike a human professional trader, thereby increasing your profits!

Getting ready

To complete this recipe, make sure you have the latest version. You will need to activate the tf2rl-cookbook Python/conda virtual environment. Make sure that you update the environment...