Document Type
Dissertation
Publication Date
Spring 4-15-2020
Abstract
The platform created in this project will help users to analyze stock/ETF performance, define and improve their asset allocation plans and trade ideas. Using real market data, user can do a deep dive into securities performance, historical correlation, risk and return. Furthermore, user can use the platform back test their trade ideas, modify the parameters, including percentage allocation, risk limits and rebalancing frequency, and create the best strategy which suits their risk/return criteria and long-term wealth management goals.
Recommended Citation
Yu, Q. (2020). A tool for securities analysis and trading strategy back-testing. Retrieved from https://digitalcommons.harrisburgu.edu/csms_student-coursework/4