Electronic markets and algorithmic trading are prevalent in financial markets. A method called Inverse Reinforcement Learning was used to understand traders' behavior by analyzing their decisions. By applying this method, High Frequency Trading strategies were accurately identified with over 90% accuracy in simulated experiments.