There are roughly five thousand investable U.S. equities and you cannot read every 10-K.

The platform computes five composite scores for every covered ticker — Alan Quality, Alan Value, Alan Risk, Alan Moat, Alan Cycle — that compress hundreds of fundamental and market data points into a 0-100 ranking on each axis. Used together as a FIRST filter, the five scores let you go from five thousand tickers to a working shortlist of fifteen to fifty in under a minute. Used in isolation, any single score is mediocre; used as a five-axis pattern, the combination tells you whether you are looking at a high-quality compounder, a value trap, a leveraged speculation, or a late-cycle extension.

This lesson teaches you exactly how each score is computed, what the patterns mean together, and what they explicitly do not capture. An Alan Score is a deterministic blend of underlying fundamental and market metrics, rescaled to a 0-100 ranking inside the relevant peer set, then averaged with disclosed weights.