• Developed and executed SQL queries to extract investment strategy data into Python, generating comprehensive performance summaries and visualizing economic data from FRED to enhance the daily portfolio management report• Utilized Fama MacBeth regression to assess the risk premium and significance of an existing signal• Identified and resolved ad hoc problems, provided actionable insights for research meetings focused on discovering potential investment strategies and integrating recent academic advancements

• Utilizing Reinforcement Learning frameworks with Decision Transformers to develop and refine long-short equity statistical arbitrage strategies, and conducting quantitative analysis for return forecasting to reinforce the robustness and profitability of trading strategies

• Conceived and drafted a research proposal on asset pricing, constructing factors and employing regression models to assess factor significance, with robustness checks via bootstrapping and Cowles tests.• Employ SQL for effective data management and integrated Git for version control, enhancing collaborative investment strategy development

• Researched investment strategies to develop the most suitable investment targets for conservative investors• Created corresponding investment strategies using specific grid trading and market timing approaches in Python to improve 47% returns and reduce risk by 20%• Engaged in high-frequency trading of oil futures; contributed to daily meetings for market analysis, trade evaluation, and strategy formulation; applied risk management and market analysis techniques to enhance trading skills

• Conducted explosive behavior and multiple structural break tests using STATA to identify specific copper price fluctuation period, generated the abnormal return to determine the impact of winning the Minnie Healy lawsuit on copper stock prices• Utilized fuzzy matching algorithm in Python to merge the trust companies’ daily stock exchange data in 1904 and 1905-1910• Managed research assistants by assigning tasks and checking completion progress, and organized weekly meetings with professor

• Assisted in assembling due diligence report for private placement of a listed company and writing the basic situation and company’s position in the TV and film industry• Developed customer and supplier interview syllabi and conducted interviews; collated the shareholder penetration and the official announcements of two IPO projects

• Investigated Kinggrid Technology to analyze its industry status in the electronic contract industry• Studied artificial intelligence foreign merger and acquisition cases and identified profitability, industry scale, and popularity for each AI category to assist in assembling the industry analysis report