Ai Intern
CurrentDeveloped the company’s flagship AI-driven fund focused on REITs, achieving approximately 20% annual returns. The fund is built around three core components:• Fundamental Analysis: Sourced and finalized data vendors, cleaned annual report data, and constructed Fama-French factors. Applied advanced Fama-French models to optimize REIT selection.• Technical Analysis: Processed monthly trading data including millions of data rows and developed new features based on academic papers and research. The primary model identifies high-return REIT categories, while sub-models, using machine learning algorithm to select individual tickers within those categories.• Sentiment Analysis: Scraped news data, calculated correlations between REITs and news articles using Glove embeddings, and analyzed sentiment with TextBlob and vader. Visualized results through sentiment graphs using Matplotlib.