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Deterministic, drawdown-controlled ETF allocation framework (Convex Core) — reproducibility companion to the research paper: model engine, report code, tests, and computed result artifacts. Hypothetical/backtested; not investment advice.
Pre-registered out-of-sample test of volatility targeting on the S&P 500: rules frozen and pushed before a single 2010-2026 run; Sharpe 0.779 vs 0.780 for buy-and-hold.
Daily market-on-close bot: market-neutral statistical arbitrage across 45 US industry groups plus a volatility-targeted S&P 500 (SPY) core. Python, pandas.
Daily market-on-close bot: market-neutral statistical arbitrage across 45 US industry groups plus a volatility-targeted Nasdaq-100 (QQQ) core. Python, pandas, Pine Script.
Patent Moat Index: a 130/30 long-short equity strategy ranking U.S. stocks by patent value intensity, with sector-neutral ranking, 12% target-vol scaling, and a 10-month SMA macro filter. 45-year backtest (1980-2024) cuts max drawdown from -49% to -13% with significant FF5 alpha. UNC Kenan-Flagler Alpha Competition 2026.