Market Cycles

The recurring sequence

Crypto market cycles are the broad, repeating swings between enthusiasm and exhaustion that have marked digital asset prices since Bitcoin first traded. They are not a timetable. They are what happens when a small, young, round-the-clock market meets changing liquidity, easy leverage and stories that spread faster than evidence.

Cycles often begin quietly: forced sellers are exhausted, builders continue, and liquidity improves. Rising prices attract attention; attention attracts capital; capital validates a new narrative. Leverage then amplifies both confidence and fragility.

1. Accumulation: low attention and improving fundamentals. Volumes are thin and most commentary is pessimistic.
2. Expansion: broader participation and accelerating narratives. New products, new buyers and better prices reinforce one another.
3. Euphoria: leverage, weak diligence, and reflexive demand. Rising prices become the main argument for buying.
4. Contraction: liquidations, defaults, and a return to fundamentals. Weak business models and over-borrowed firms are exposed.

These phases are easiest to name in hindsight. In real time they overlap, stall and reverse, and a sharp correction inside an expansion can feel identical to the start of a contraction.

A short history of crypto market cycles

Each major cycle has had its own engine, which is why copying the last one is rarely a reliable guide to the next.

• 2012 to 2015: Bitcoin's first halving arrived in November 2012. A rapid rise in 2013 was followed by the collapse of the Mt. Gox exchange in early 2014 and a long, deep bear market.
• 2016 to 2018: the second halving came in July 2016. The 2017 rally was fuelled by initial coin offerings, as thousands of new tokens raised money with little disclosure. Bitcoin then fell by more than 80 percent from its December 2017 high during 2018, and most ICO tokens never recovered.
• 2020 to 2022: the third halving in May 2020 coincided with exceptionally loose monetary policy after the pandemic shock. Prices peaked in late 2021. In 2022, rising interest rates removed that support, the Terra and UST stablecoin system collapsed in May, lenders and hedge funds such as Celsius and Three Arrows Capital failed over the summer, and the FTX exchange went bankrupt in November. Bitcoin's drawdown from peak to trough was roughly 75 percent.
• 2023 onwards: in January 2024 the US Securities and Exchange Commission approved the first spot bitcoin exchange-traded products, opening a regulated route for traditional investors. The fourth halving followed in April 2024.

The pattern that does repeat is structural: borrowed money and weak custody turn ordinary price declines into chains of failure. You can read more about past turning points in our Bitcoin market cycles and macro guide.

The Bitcoin halving

Roughly every four years, or every 210,000 blocks, Bitcoin's subsidy per block is cut in half. It began at 50 bitcoin per block and has since fallen to 25, 12.5, 6.25 and, after April 2024, 3.125. This reduces new supply, but the event is known in advance. Its impact depends on demand, miner economics, macro liquidity, and market positioning, not scarcity alone.

Historical alignment does not establish a mechanical law. Three data points are a very small sample, and each halving coincided with other powerful forces, from ICO speculation to pandemic stimulus to the launch of exchange-traded products. With each cycle, new issuance becomes smaller relative to existing supply and global capital flows, so the halving's direct supply effect is likely to keep shrinking. Our lexicon entry on the Bitcoin halving cycle explains the mechanics in more detail.

Liquidity and leverage

Crypto trades around the clock and often uses collateral that rises with the market. In expansions, higher collateral values support more borrowing. In contractions, falling collateral triggers sales, which pushes prices lower and triggers further liquidations.

Liquidity also comes from outside crypto. When central banks cut rates and expand their balance sheets, investors tend to reach for riskier assets; when real interest rates rise, holding a volatile asset that pays no income becomes less attractive. That is one reason 2022 was so severe: tighter money and internal leverage unwound together.

Indicators people watch, and their limits

No single measure identifies a top or a bottom. Each one describes a part of the market, and each can stay at an extreme for longer than seems reasonable.

• Funding rates and open interest: high positive funding rates on perpetual futures and rising open interest show crowded, leveraged long positioning. They signal fragility, not timing.
• Stablecoin supply: growth in dollar-linked tokens suggests capital is ready to be deployed onchain, although part of that supply serves payments and trading rather than new demand.
• ETF flows: daily creations and redemptions in exchange-traded products show how traditional investors are positioned, but flows often follow price rather than lead it.
• Onchain valuation ratios: measures such as MVRV compare market value with the price at which coins last moved. They have historically been high near peaks and low near troughs, but the thresholds drift as the holder base changes.
• The dollar and real rates: a strong US dollar index and rising real yields have often coincided with weaker crypto prices, though correlations change from year to year.

Behavioural traps

Cycles are as much about people as about money. Three habits do the most damage.

Recency bias treats the latest move as the new normal, so buyers extrapolate rallies and sellers extrapolate crashes. Anchoring fixes attention on a previous high or a purchase price, which says nothing about what an asset is worth today. Narrative chasing buys whichever sector is rising fastest, often just as the early participants are selling to newcomers. Frameworks such as the Wyckoff method try to describe this transfer between informed and late participants, but they still require judgement and are frequently misapplied.

How to use cycle thinking without pretending to predict

Treat cycle models as scenario tools. Track valuation, realised behaviour, funding, stablecoin supply, credit conditions, and the distance between price and genuine adoption. Avoid decisions that require a single historical pattern to repeat on schedule.

In practice that means deciding in advance how much volatility you can tolerate, keeping position sizes small enough that a 75 percent drawdown would not force a sale, avoiding leverage you do not fully understand, and keeping assets with custodians you trust or in self-custody. It also means writing down why you hold something, so that a change in price is not mistaken for a change in the reasoning. Chapter 7 of Academy School works through these ideas step by step.