Building a stock market trading RL platform using real stock exchange data
The stock market provides anyone with a highly lucrative opportunity to participate and make profits. While it is easily accessible, not all humans can make consistently profitable trades due to the dynamic nature of the market and the emotional aspects that can impair people's actions. RL agents take emotion out of the equation and can be trained to make profits consistently. This recipe will teach you how to implement a stock market trading environment that will teach your RL agents how to trade stocks using real stock market data. When you have trained them enough, you can deploy them so that they automatically make trades (and profits) for you!
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 you update the environment so that it matches the latest conda environment specification...