Reinforcement Learning for Trading Strategies

This course is for finance professionals, investment management professionals, and traders. Alternatively, this Specialization can be for machine learning professionals who seek to apply their craft to trading strategies. At the end of the course you will be able to do the following: – Understand what reinforcement learning is and how trading is an RL problem – Build Trading Strategies Using Reinforcement Learning (RL) – Understand the benefits of using RL vs. other learning methods – Differentiate between actor–based policies and value–based policies – Incorporate RL into a momentum trading strategy To be successful in this course, you should have a basic competency in Python programming and familiarity with the Scikit Learn, Statsmodels and Pandas library.You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).