Jennifer Lee Signature Work Spring 2022 Duke Kunshan University

Preventing Pump and Dump Schemes with Using Supervised Machine Learning Models: Relevance in Stock and Cryptocurrency Market research paper: https://drive.google.com/file/d/1xZFaNtMs8dOLiUi8pK5G_japlLl_8z9S/view?usp=pdf

This repo contains code and datasets for the research on cryptocurrency exchanges and pumps-and-dumps.

Author Introduction

Jennifer Lee is a senior Economics student at Duke Kunshan University with expected graduation in May 2022. Her research interests lie at the intersection of finance, law, and computer science. After graduation, she will be working as an Investment Bank Compliance Analyst at Goldman Sachs in Hong Kong. For any questions regarding this research, please contact jl873@duke.edu.

For my graduation captone project, I am working on analyzing the best supervised ML model for detecting pumps-and-dumps in the cryptocurrency market. The data and analysis is in the repository so to replicate results, please run deceision_tree_pump_and_dump_predictor.ipynb

For any questions, please contact jl873@duke.edu

File Description: Pump and Dump dataset.zip: dataset on pumps-and-dump schemes on the Cryptopia exchange Jennifer_Lee_Data_Descriptor_SW.ipynb: data prepocesssing and generating graphs deceision_tree_pump_and_dump_predictor.ipynb: full code of the analysis