Every stock in Monstra's universe is assigned a Vector. Each Vector is built from that stock's own daily price and volume history across windows from one week to five years, covering return, volatility, trend, drawdown, performance versus the broader market, and liquidity. Those raw measures are normalized to a fixed 0 to 1 scale for that ticker alone, not ranked against other stocks that day, then combined into the composite scores shown below, like momentum, trend quality, and downside awareness. Each algorithm reads those scores to find the stocks it wants.