Why Can Trading Machines Replace Human Traders?
Statement of Purpose
Can trading machines replace human traders? As a Computer Science student in Nanyang Technological University, I have great belief in the power of technology. On the other hand, I think that the succeeding factor of these trading robots lies in its algorithms and strategies, which are designed and implemented by financial engineers.
Deeply intrigued by this area of financial engineering, I chose to research on the modeling of stock cycling and portfolio trading in my final year project. It has been very interesting to learn about how to extract rules from trading data and model traders’ behavior with the application of models such as genetic algorithm, reinforcement learning and artificial neural networks. During the process, I further realized the importance of solid mathematical, financial and programming knowledge and skills required for the career pursuit of financial engineers. I think attending Cornell’s Financial Engineering program will prepare me theoretically and practically for that. And I believe my previous academic and professional experience make me a good fit for this program. …show more content…
Majoring in Business and Computer Science Double Degree provides me exposure to both computer science and finance realms. As programming is more of a skill learned and improved through practice, I always commit full-heartedly to various individual and group projects. In a multidisciplinary-design project to build an exploration robot, I took charge of designing and implementing the algorithms. In the finals against 20 other teams, our team came out in first-place. What I learned from the competition is that algorithms provide systematic and elegant ways to solve problems but the endeavor to improve them is continuous under changing conditions, which is similarly important for financial
Can trading machines replace human traders? As a Computer Science student in Nanyang Technological University, I have great belief in the power of technology. On the other hand, I think that the succeeding factor of these trading robots lies in its algorithms and strategies, which are designed and implemented by financial engineers.
Deeply intrigued by this area of financial engineering, I chose to research on the modeling of stock cycling and portfolio trading in my final year project. It has been very interesting to learn about how to extract rules from trading data and model traders’ behavior with the application of models such as genetic algorithm, reinforcement learning and artificial neural networks. During the process, I further realized the importance of solid mathematical, financial and programming knowledge and skills required for the career pursuit of financial engineers. I think attending Cornell’s Financial Engineering program will prepare me theoretically and practically for that. And I believe my previous academic and professional experience make me a good fit for this program. …show more content…
Majoring in Business and Computer Science Double Degree provides me exposure to both computer science and finance realms. As programming is more of a skill learned and improved through practice, I always commit full-heartedly to various individual and group projects. In a multidisciplinary-design project to build an exploration robot, I took charge of designing and implementing the algorithms. In the finals against 20 other teams, our team came out in first-place. What I learned from the competition is that algorithms provide systematic and elegant ways to solve problems but the endeavor to improve them is continuous under changing conditions, which is similarly important for financial