1. Examining the Feasibility and Effectiveness of Utilizing Dark Pool Transactions in Retail Algorithmic Trading 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 PoolFinanceAlgorithmic TradingTradingPerformanceS&P 500Black BoxAlphaTDTD AmeritradeAPI File: Login to Download Thesis Supervisors: Mihail Velikov, Thesis SupervisorBrian Spangler Davis, Thesis Honors Advisor