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Author:

Qu, James

Title:

Examining the Feasibility and Effectiveness of Utilizing Dark Pool Transactions in Retail Algorithmic Trading

Area of Honors:

Finance

Keywords:

Dark Pool
Finance
Algorithmic Trading
Trading
Performance
S&P 500
Black Box
Alpha
TD
TD Ameritrade
API

File:

Download ThesisJamesQu.pdf

Thesis Supervisors:

Mihail Velikov, Thesis Supervisor
Brian Spangler Davis, Thesis Honors Advisor