Algorithmic trading, so popular nowadays, uses many strategies that are algorithmizable and promise profitability. This … this strategy in algorithmic trading to make an adequate assessment. Its findings show that the practical and profitable …

This study addresses the economic rationale behind algorithmic trading in the Electric Vehicle (EV) sector, enhancing … understanding and trust in Q-RL-based algorithmic trading within the EV market. …

Most definitions of algorithmic bias and fairness encode decisionmaker interests, such as profits, rather than the …

This study examines the dynamics of human reliance on algorithmic advice in a situation with strategic interaction …. Participants played the strategic game of Rock–Paper–Scissors (RPS) under various conditions, receiving algorithmic decision … support while facing human or algorithmic opponents. Results indicate that participants often underutilize algorithmic …