Expected Value
Expected value is the probability-weighted average of a random variable — the center of the distribution you actually face, not the mode or the ‘base case’ slide.
Definition
Expected Value refers to weighted average of a random variable — the center of the distribution you actually face, not the mode or the ‘base case’ slide. Keep that definition fixed when comparing series, managers, or regimes — renaming the same tape does not create a new signal.
Why it matters
It is a named object desks use to frame risk, positioning, or process. When weighted average of a random variable — the center of the distribution you actually face, not the mode or the ‘base case’ slide shifts, related hedges, limits, and narratives usually need an explicit update rather than a quiet assumption.
Case
Suppose a desk is positioned for the opposite of what expected value is saying. If weighted average of a random variable — the center of the distribution you actually face, not the mode or the ‘base case’ slide moves against that book, the first question is not “is the story clever?” but whether size, hedges, and stop logic still match the observation.
How to read it
Keep the definition fixed, then challenge it with cross-checks before sizing. Prefer a short written null hypothesis for Expected Value: what would falsify the current reading in the next window?
Ask the macro AI about this object
Opens Copilot with Codex + RAG context, or send the object into Alpha Factory intake.