Tops are behavior, not just price
A market top is rarely one price point. It is often a zone where upside excitement remains visible while risk quality deteriorates. Leverage, narrative crowding, weak breadth, and late buyers can make the market fragile before the final high is obvious.
M.A.I.C. therefore looks for risk behavior rather than trying to predict the exact top.
Bottoms are not comfortable
Market bottoms often feel terrible. Liquidity may be damaged, headlines may be negative, and recent losses can make DCA emotionally difficult. The question is whether forced selling is exhausted and asymmetry is improving.
A bottom framework should not require comfort. It should require survivability.
Replay as evidence
Historical replay shows how similar market states behaved: euphoria, collapse, distribution, capitulation, and recovery. The point is not to claim the past repeats exactly; the point is to understand the cost of late risk decisions.
Temporal Posture Memory exists as a small architecture layer behind this replay logic.
How M.A.I.C. uses top/bottom analysis
M.A.I.C. can convert top pressure into cash preservation or alt risk reduction. It can convert capitulation into DCA review only after survivability checks. Public pages show the logic; protected access shows deeper archive reconstruction.
This avoids both blind chasing and blind panic.
Common questions
Can anyone identify the exact crypto top?
No one can reliably know the exact top in advance. A better goal is to identify when risk/reward deteriorates.
Is capitulation always a buy signal?
No. Capitulation can open review, but liquidity and survivability must confirm it.
Why use historical replay?
Replay shows how late decisions damaged portfolios in prior cycles and how different posture could change risk behavior.
Read live market state before acting
This education page explains the concept. M.A.I.C. public state shows the current posture, while exact weights and token-level routes stay protected.