The Algorithmic Trading Society was founded with the aim of bringing students from all background together to develop their understanding of the application algorithms in a financially driven context. We aim to narrow the gap between university studies and the professional knowledge required in the field. Therefore, we host weekly sessions for guided learning using our platform Pedlar, covering from basic trading terminologies to reinforcement learning. Our events are all tailored for our members from learning basic concepts to advanced trading simulations and gain exclusive exposure with our sponsors through workshops and competitions. This year, we will also introduce an additional course in machine learning led by a PhD student to help our members build better foundation in technical skills. Whether you’re a novice to trading or a veteran Quant we welcome all to be part of the society.