My research project uses clustering algorithms to analyze macro-level, trend-driven behaviors shaped by human decision-making, such as political prediction questions like “Who will ultimately become Trump’s Secretary of the Treasury?” I analyze behaviors like betting, trading, and capital flows to turn these signals into predictive insights.

This is an interactive Trader Analytics web dashboard that analyzes 825 randomly selected prediction-market traders from Polymarket using K-means clustering, PCA, and network community detection (Louvain). The site includes a dashboard, a PCA cluster map, profit concentration (Lorenz/Gini), z-score cluster heatmaps, a trader network graph, leaderboards, trader lookup, and a cluster-to-community flow diagram.