2022 Student Research Conference:
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

Computer Science

Presentation Type: Oral Presentation

Session: 107-5
Location: MG 1098
Time: 9:30

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