One of our first research efforts at Astrai focused on replicating the widely-cited paper “Value and Momentum Everywhere” by Asness, Moskowitz, and Pedersen. The original study showed that value (cheap vs. expensive) and momentum (winners vs. losers) signals work across asset classes, countries, and time periods. We wanted to see how well these signals hold up in today’s market conditions. Using publicly available data and our custom backtesting engine, we recreated long-short portfolios based on value and momentum factors across global equities, commodities, and currencies. We adjusted for realistic trading frictions, smoothed the rebalance frequency, and excluded post-publication data where appropriate. While we observed some expected performance decay in raw returns, the factor premia remained directionally consistent and statistically significant — particularly in less-crowded segments. Our write-up includes visualizations of performance breakdowns, turnover comparisons, and an open-source implementation framework for others to build on. More importantly, the exercise gave us a practical benchmark for evaluating factor robustness — a key theme for future Astrai work.