1. The Black & White of Technical Analysis Open Access Author: Sturman, Daniel C Title: The Black & White of Technical Analysis Area of Honors: Finance Keywords: Technical AnalysisTradingChartingMarket Analysis File: Download The_Black___White_of_Technical_Analysis.pdf Thesis Supervisors: Jingzhi Huang, Thesis SupervisorJingzhi Huang, Thesis SupervisorJames Alan Miles, Thesis Honors Advisor
2. Testing the Efficacy of Trading Using Machine Learning Techniques in the Foreign Exchange Market Open Access Author: Singh, Navjit Title: Testing the Efficacy of Trading Using Machine Learning Techniques in the Foreign Exchange Market Area of Honors: Finance Keywords: Foreign ExchangeForexSupport Vector MachineRandom ForestNaive BayesK-Nearest NeighborTradingTechnical TradingFundamental Trading File: Download Thesis_11.11.19_Final.pdf Thesis Supervisors: Dr. George David Haushalter, Thesis SupervisorDr. Brian Spangler Davis, Thesis Honors Advisor
3. Performance of Semi-High Frequency Trading Algorithms in Python Based on Dark Pool Movements Open Access Author: Fan, Mutian Title: Performance of Semi-High Frequency Trading Algorithms in Python Based on Dark Pool Movements Area of Honors: Finance Keywords: Computer ScienceFinanceTradingAlgorithmsDark Pools File: Download thesis_final_2.pdf Thesis Supervisors: Mihail Velikov, Thesis SupervisorBrian Spangler Davis, Thesis Honors Advisor
4. REITs and Inflation: The Recent Performance of REITs During the Periods of Varying Inflation Open Access Author: Patel, Yash Title: REITs and Inflation: The Recent Performance of REITs During the Periods of Varying Inflation Area of Honors: Finance Keywords: REITREITSReal EstateReal Estate Investment TrustInflationHedgeAssetReturnsCPIConsumer Price IndexRegressionOLSOrdinary Least SquaresPrivatePublicInvestmentInvestingCorrelationMarketStocksTrading File: Download Yash_N_Patel.pdf Thesis Supervisors: Eva Steiner, Thesis SupervisorBrian Spangler Davis, Thesis Honors Advisor
5. Examining the Feasibility and Effectiveness of Utilizing Dark Pool Transactions in Retail Algorithmic Trading Open Access 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: Download ThesisJamesQu.pdf Thesis Supervisors: Mihail Velikov, Thesis SupervisorBrian Spangler Davis, Thesis Honors Advisor
