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Start Over Area of Honors Finance Thesis Supervisor Mihail Velikov Access Level restricted_to_institution

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

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

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