Using reinforcement learning to trade multiple stocks through Python and OpenAI Gym | Presented at ICAIF 2020

Our code is available on Github.

One can hardly overestimate the crucial role stock trading strategies play in investment.

Profitable automated stock trading strategy is vital to investment companies and hedge funds. It is applied to optimize capital allocation and maximize investment performance, such as expected return. Return maximization can be based on the estimates of potential return and risk. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. Read More