OSW

SIGNATURE WORK
CONFERENCE & EXHIBITION 2022

Preventing Pump and Dump Schemes with Using Supervised Machine Learning Models: Relevance in Stock and Cryptocurrency Market

Name

Jennifer Lee

Major

Political Economy, Economics

Class

2022

About

Jennifer Lee is a senior Economics student at Duke Kunshan University with expected graduation in May 2022.

Signature Work Project Overview

Pump and dump schemes, where prices of assets are artificially manipulated by a few and dumped shortly after is a long-lasting problem on exchanges. This problem has been worsened in cryptocurrency exchanges as cryptocurrency remains largely unregulated as of yet. The current academic literature contains much research on cryptocurrency pumps-and-dump detections, utilizing various machine learning methods. However, there is not yet research on comprehensive machine learning model selection and each model’s efficiency. We would also like to research the best predictors of pumps-and-dumps. Through our research, we will be able to identify the best-supervised machine learning model for the purpose of predicting pump-and-dump schemes in the cryptocurrency market. Our research insights would add to creating a more transparent cryptocurrency market for all investors.

Signature Work Presentation Video