Deep Reinforcement Learning Approach for Trading Automation in The Stock Market. (arXiv:2208.07165v1 [q-fin.TR])

Deep Reinforcement Learning (DRL) algorithms can scale to previously
intractable problems. The automation of profit generation in the stock market
is possible using DRL, by combining the financial assets price "prediction"
step and the "allocation" step of the portfolio in one unified process to
produce fully autonomous systems capable of interacting with their environment
to make optimal decisions through trial and error. This work represents a DRL
model to generate profitable trades in the stock market, effectively overcoming
the limitations …

arxiv automation learning reinforcement reinforcement learning stock trading