eHT Explore

Start Over Thesis Supervisor Mihail Velikov Keyword Finance Author Last Name Qu

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

restricted_to_institution

Restricted (Penn State Only)

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:: Login to Download
Thesis Supervisors:: Mihail Velikov, Thesis Supervisor
Brian Spangler Davis, Thesis Honors Advisor