Crypto markets don't move in a straight line, and they don't move randomly either — they tend to move in recognizable phases. None of this tells you exactly what happens next, but having a framework for where a market sits beats reacting to every daily price swing as if it's a unique event.

The four-phase framework

A commonly used model, borrowed from classic technical analysis (Wyckoff's market cycle theory), breaks a cycle into four phases:

  • Accumulation: Price has stopped falling and moves sideways at depressed levels. Sentiment is generally poor, and volume is low. Patient buyers accumulate positions while attention is elsewhere.
  • Markup: Price begins trending upward, first quietly, then with increasing volume and attention as more participants notice the trend. This phase typically produces the majority of a cycle's gains.
  • Distribution: Price moves sideways again, this time at elevated levels, often accompanied by extremely positive sentiment and mainstream attention. Early buyers begin selling into strength.
  • Markdown: Price trends downward, often sharply, as the earlier optimism reverses. This phase tends to feel worse than the numbers alone suggest, because sentiment overshoots on the way down just as it did on the way up.

Why sentiment is a better signal than it seems

Extremes in sentiment tend to cluster near phase transitions: widespread pessimism and disinterest near the end of accumulation, widespread euphoria and "this time it's different" narratives near the end of distribution. That's not a coincidence — sentiment tends to lag price with a delay, so by the time a narrative has fully taken hold, the phase that produced it is often already mature.

This doesn't make sentiment a precise timing tool. It makes it a useful check against your own behavior: feeling maximum conviction near a local top, or maximum despair near a local bottom, is a well-documented pattern, not a personal failing.

What this framework doesn't tell you

It doesn't tell you how long any phase will last, how deep a markdown will go, or whether a given asset will even complete the cycle rather than declining permanently. Individual tokens and protocols can also diverge significantly from the broader market's cycle based on their own fundamentals — a project in genuine distress can markdown further during a broader markup, and vice versa.

How to actually use it

Treat cycle phase as context, not a signal to act on by itself. Combine it with project-specific research — token unlock schedules are one example of a concrete, checkable factor — rather than trading purely on which phase you believe the broader market is in.