Every crypto bull and bear market tells roughly the same story. Prices recover, then overshoot, then collapse, then consolidate, and the whole thing starts again. The details change each time, but the underlying cycle of accumulation, markup, distribution, and markdown has played out in 2017, 2021, and again across 2024–2025. Understanding where you are inside that cycle doesn't guarantee a profitable trade, but it does stop you from making the most expensive mistake in the playbook: buying late in distribution because it feels like the run is just beginning.
For Australian investors, reading the cycle correctly has an extra edge. It helps you time ATO-relevant decisions around CGT events, plan EOFY rebalancing, and avoid being caught holding heavily at a tax disadvantage. The four phases below aren't a rigid formula. Think of them as a vocabulary for what you're already seeing on the charts.
The four phases of a crypto market cycle
Most cycle models borrow from Wyckoff theory, which describes markets as moving through four broad states. Crypto compresses and exaggerates each one, but the sequence holds.
Accumulation is the bottom. Prices are flat and volume is low. Retail investors have largely left after the bear market, and sentiment is at its worst. On-chain, you'll see long-term holders absorbing coins from forced sellers. News coverage is thin or actively negative. This phase can last months.
Markup is when the trend turns. A catalyst appears (often a macro shift, a regulatory clarity event, or a product launch like an ETF approval) and prices start to rise. Early adopters and institutional buyers enter first. Volume picks up. Bitcoin dominance is often high during early markup as capital flows into the safest crypto assets first, before rotating into altcoins later in the phase.
Distribution is the top. It doesn't feel like it. This phase is characterised by extreme optimism, high media coverage, and a sense that prices can only go higher. Smart money sells into retail demand. Volume is high but price gains start to stall. This is when most retail investors buy the heaviest positions, convinced the trend is secure.
Markdown is the decline. It usually happens faster than the accumulation and markup phases combined. Leverage gets flushed out first (watch for sharp single-day drops), then overleveraged projects fail, and finally long-term holders who bought late in the cycle capitulate. On-chain data shows coins moving from weak hands back to cold storage.
On-chain signals that confirm each phase
Price alone is a lagging indicator. On-chain data gives you earlier reads. Three metrics stand out.
MVRV Z-Score compares Bitcoin's market value to its realised value (the average price at which each coin last moved on-chain). A high Z-Score means coins are far above their cost basis on average, suggesting distribution territory. A negative or very low Z-Score means coins are at or below their cost basis, which is historically a strong accumulation signal. During Bitcoin's 2021 peak, the MVRV Z-Score reached levels consistent with prior cycle tops. In late 2022, it dipped into the red zone that has historically preceded recoveries.
Exchange netflows tell you whether coins are moving onto exchanges (potential sell pressure) or off exchanges and into cold storage (accumulation). Sustained negative netflows during a price rally are a bullish structural signal. Large inflows to exchanges ahead of a major price drop are a classic distribution tell.
Funding rates on perpetual futures reveal how much leveraged enthusiasm is in the market. When funding rates stay persistently positive, longs are paying shorts, meaning the market is crowded on the bullish side. That crowding resolves quickly when price dips. You can read more about how on-chain funding rates signal market sentiment in our dedicated explainer, which covers the mechanics in detail.
Bitcoin dominance as a cycle positioning tool
Bitcoin dominance measures BTC's share of total crypto market capitalisation. It's one of the cleaner cycle clocks available. Early in a bull run, dominance tends to rise as Bitcoin leads the recovery. Then, as the cycle matures and retail capital arrives, dominance falls as money rotates into ETH, then mid-caps, then speculative small-caps. When dominance is falling and total market cap is still rising, altcoin season is typically underway.
The reverse is also true. When dominance spikes sharply, it often signals risk-off rotation out of altcoins and back into Bitcoin as a safer position. That can happen mid-cycle during corrections, or at the start of a bear market when capital flees small-caps first.
If you want to go deeper on how dominance moves translate to specific altcoin signals, the Bitcoin dominance explainer on this site breaks down exactly what traders watch for when the number shifts.
Sentiment tools worth adding to the mix
On-chain data is objective. Sentiment is noisier, but it still adds useful context when you're trying to confirm a phase.
The Crypto Fear and Greed Index aggregates social volume, volatility, momentum, and survey data into a single 0–100 number. Extreme fear (below 20) has historically appeared in accumulation and early markup. Extreme greed (above 80) has historically appeared in distribution. The index is a blunt tool, but it's quick to check and doesn't require any technical setup.
Google Trends data for search terms like "buy Bitcoin" and "crypto crash" shows retail attention cycles with surprising clarity. Retail search interest peaks near cycle tops and collapses near bottoms, almost without exception. It's a free data point that confirms what more sophisticated tools are already showing.
Social media activity is less reliable as a directional signal but useful as a volume gauge. A sudden spike in mentions of a specific altcoin across crypto Twitter and Reddit threads often coincides with late-cycle distribution of that asset. By the time a token is trending on mainstream platforms, the cycle is usually well advanced.
Common mistakes when trying to call the cycle
The biggest one is conflating a local top with a cycle top. Within a bull market, there are multiple 20–40% corrections that feel catastrophic in the moment but resolve quickly. Calling distribution every time price pulls back is an expensive way to miss the bulk of a bull run.
The second mistake is anchoring to price. "Bitcoin at AU$150,000 feels expensive" is not a cycle analysis. Cycle phase is about the relationship between price and fundamentals, on-chain positioning, and investor behaviour. A high price in early markup is not the same as the same price in distribution.
Third: ignoring the altcoin calendar. Different assets move through the cycle at different speeds. Bitcoin leads, ETH follows, then smaller caps get their turn. Treating all crypto as synchronised misses the rotation trades that compound returns across a full cycle. Watching which coins are leading in altcoin season gives you a live read on where in the rotation the market currently sits.
Applying cycle analysis practically in Australia
For Australian investors, cycle awareness has a direct tax dimension. If you're approaching what looks like late distribution, holding assets for longer than 12 months before any sale qualifies you for the CGT discount under current ATO rules. Selling into a distribution-phase peak, then buying back in accumulation, can also crystallise taxable gains at a time when you're holding the most profit. That sequencing matters.
EOFY (30 June) tax planning should account for cycle position. Locking in losses in markdown to offset earlier gains is a legitimate strategy, but be careful of the ATO's views on wash-sale arrangements. The key is that position changes have genuine economic substance, not just a tax motive.
Cycle analysis won't tell you the price on any given day. It tells you the risk environment. In accumulation, the risk/reward of adding exposure is typically more favourable. In distribution, reducing exposure and holding AUD reserves gives you the flexibility to deploy again when the cycle resets. That's not a prediction. It's a framework for making decisions with better context than price alone.