35th Annual Student Research Conference
Introducing the Dynamic Gradient Indicator for Price Action Analysis
Krishna S. Chebolu*, Mohammadhossein Momeni, and Thad C. Meadows
Dr. Don Bindner, Faculty Mentor
Developing a strategy for frequent trading based on price data from financial markets is difficult, but the reward is well worth it. This paper presents a model that recommends a successful day-to-day trading strategy. The Dynamic Gradient-Indicator (DGI) model identifies the trends of the market prices using the fundamental concepts of calculus. This design can be adjusted to many market environments. We show the results of our preliminary testing and discuss the advantages of the DGI model. In the end, we also discuss the future of this model and how it can be optimized.
Keywords: Trading, Asset management, Price prediction, Financial markets
Topic(s):Mathematics
Computer Science
Presentation Type: Oral Presentation
Session: 107-5
Location: MG 1098
Time: 9:30