BTC and ETH Market Cycle Phases: Where Are We Now and What It Means for Your Portfolio

Bitcoin's history organizes itself into multi-year cycles for three reinforcing reasons. The halving cuts new supply roughly every four years, applying a slow structural squeeze. Reflexive sentiment amplifies it: rising prices attract capital, which raises prices, until valuations detach from any anchor and the process runs in reverse. And leverage accelerates both legs — bull markets stack leveraged longs that cascade on the way down, capitulations stack shorts that fuel the recovery.

The result is a repeating arc: accumulation at depressed prices, an early uptrend that few believe, a mature trend everyone chases, a euphoric top, and a long unwind back to value. Each cycle differs in magnitude and timing — and the differences are shrinking as the asset matures — but the arc itself has survived four iterations.

The practical question is never 'do cycles exist?' It is: where in the arc are we now, with what confidence can we know it, and what should that change about position size? On-chain valuation metrics exist precisely because price alone cannot answer this — $60,000 was euphoric in early 2021 and capitulation pricing in 2022. Context is the metric.

MVRV — market value divided by realized value — compares today's price to the aggregate cost basis of every coin, valued at the price it last moved. MVRV near or below 1.0 means the average holder is underwater: historically the capitulation and accumulation zone (December 2018 bottomed near 0.7, November 2022 near 0.8). Readings above roughly 3 mark the historical euphoria zone where the average coin holds a 200%+ unrealized gain and distribution pressure peaks. Between those poles, MVRV reads as cycle temperature.

NUPL — net unrealized profit/loss — is the same information expressed as the share of market cap held as paper profit. It maps onto the classic sentiment bands: below 0 capitulation, 0–0.25 hope, 0.25–0.5 optimism, 0.5–0.75 belief, above 0.75 euphoria. Because NUPL is a transform of the same cost-basis data as MVRV, treat the pair as one gauge with two dials, not two independent confirmations — a redundancy our own signal audit flags explicitly.

The halving clock counts days since the last supply halving. Previous cycle tops arrived roughly 365–550 days after their halvings; full cycles have run around 1,400 days trough-to-trough. The clock is the weakest gauge — three data points, wide variance — but it is useful for ruling things out: deep in post-halving territory, fresh-cycle dynamics are off the table.

Supply in profit — the percentage of circulating coins worth more than their last-move price — rounds out the picture. Above 95%, nearly every holder has gains and the only direction for the metric is down: distribution territory. Near 50%, half the network is underwater — historically the neighborhood of bottoms, where weak hands have largely been flushed and long-term holders dominate the float.

Combining the gauges produces a phase map. The labels below mirror the taxonomy RiskState's engine computes continuously; the boundaries are judgment calls, but the signatures are distinct.

BOTTOM: MVRV near or below 1, NUPL near zero or negative, supply in profit depressed, sentiment in extreme fear. Nobody wants the asset; long-term holders quietly absorb it.

EARLY: MVRV recovering through the low ones, early in the post-halving window, disbelief rallies that keep being sold and keep grinding higher anyway.

MID: MVRV in the middle band, trend established, pullbacks shallow, leverage building but not extreme. The longest and most tradable phase.

LATE: MVRV pressing toward the euphoria zone with price near highs — extended but capable of running further than anyone expects. Distribution from old hands accelerates.

EUPHORIA: MVRV above 3, NUPL in the top band, supply in profit saturated. The asymmetry has flipped: upside continuation is possible, but every historical instance of this configuration eventually resolved into a deep unwind.

POST-PEAK and CORRECTION: drawdown from the high exceeding 30%, MVRV deflating through the twos and ones, leverage flushed in waves. Late in this phase the gauges converge back toward the BOTTOM signature and the arc restarts.

No phase is a timing signal. Each is a statement about asymmetry — which direction has more room, and how much risk a position deserves while you wait to be right.

As of mid-June 2026, the gauges read as follows. BTC trades near $63,000 against a cycle high of roughly $126,000 set earlier in the cycle — a drawdown of about 50%. The halving clock stands at roughly 780 days post-halving, well past the window where every previous cycle top occurred. MVRV sits near 1.2, the lower band that historically marked late-correction and value territory rather than mid-cycle. Around half of circulating supply is in profit — the neighborhood of prior cycle floors, not prior cycle tops. Sentiment indexes have spent weeks in extreme fear.

That configuration is a textbook POST-PEAK / late-correction signature: the top is behind, the unwind is mature, and the valuation gauges are closer to historical accumulation zones than to danger zones. In the two previous cycles, broadly similar readings — December 2018, November 2022 — appeared in the final third of the bear phase, though both were followed by further months of chop and one final flush before durable recoveries.

Read that history with the discipline it deserves: similar is not identical, and two precedents are not a distribution. The honest statement is asymmetric, not predictive — at MVRV near 1.2 and 50% supply in profit, the historical downside from comparable configurations was measured in further months of pain and another 20–30% of drawdown at worst, while the upside, eventually, was the next cycle. Position sizing should reflect that asymmetry without pretending to know the timing.

Every claim in this article rests on at most four complete cycles. That is not a dataset; it is an anecdote with structure. Treating cycle analysis as statistics invites three specific errors.

First, the boundaries are fitted in hindsight. MVRV above 3 marked euphoria in past cycles, but each successive cycle has topped at a lower MVRV — the metric's extremes are compressing as the asset's market cap grows and its holder base diversifies. A threshold calibrated on 2017 may simply never trigger again.

Second, the structure is not stationary. Spot ETFs rerouted marginal demand through regulated wrappers; corporate treasuries and sovereign-scale holders changed who owns the float; the share of supply that responds to retail sentiment shrinks every cycle. The halving's marginal supply impact decays mathematically — each halving removes half as much new supply as the last, relative to the outstanding stock.

Third, survivorship: the cycle framework looks clean because Bitcoin survived every previous winter. The framework cannot price the scenario where structural demand simply does not return on schedule.

None of this makes cycle context useless — it makes it a prior, not a forecast. Our own backtesting discipline reflects that: cycle phase enters the engine as a cap on permitted exposure, never as a buy or sell signal, and the historical validation behind it is published with confidence intervals and sample-size caveats rather than as certainty.

Ethereum rhymes with Bitcoin's cycle but does not copy it. ETH has no halving — its supply dynamics turn on staking participation and fee burn, which respond to network usage rather than a fixed calendar. Its cost-basis metrics are structurally noisier: a large share of ETH moved through staking contracts and L2 bridges, which blurs the 'last moved' price that MVRV-style gauges depend on.

The ETH/BTC ratio is the cleanest cycle instrument ETH offers. Historically, BTC leads cycle recoveries while ETH lags, and capital rotates into ETH — and from ETH further out the risk curve — only after BTC's trend is established. A falling ETH/BTC ratio during a BTC recovery is normal early-cycle behavior, not an ETH failure; a sustained ratio uptrend has marked the middle phases when risk appetite broadens. Late-cycle euphoria is when ETH historically outruns BTC at maximum speed — useful as a temperature gauge in both directions.

In practice: anchor cycle phase on BTC's gauges, then read ETH through two lenses — its own structural health (staking economics, fee burn, network activity) and its relative-strength position against BTC. Sizing ETH exposure off BTC's cycle phase alone misses both the periods when ETH amplifies the cycle and the periods when it quietly decouples from it.

The cycle map earns its keep as a position sizing input, not a crystal ball. A workable mapping:

In BOTTOM and late-correction phases, the asymmetry favors patient accumulation — but the timing risk is highest, so the tool is a ladder, not a lump: staged entries at predefined valuation levels, sized so that being a year early is survivable.

In EARLY and MID phases, trend-following sizes can run at their largest — drawdowns are shallowest and the valuation gauges are far from extremes. This is where most of a cycle's compounding actually happens.

In LATE and EUPHORIA, invert the ladder: predefined trims at predefined valuation thresholds, leverage retired entirely, and a written plan for the unwind — written before euphoria, because no one writes honest plans during it.

In POST-PEAK, the discipline is survival: reduced size, no leverage, and patience while the gauges walk back toward value.

The common thread: the cycle phase sets the ceiling on risk, and the ceiling moves slowly. That is exactly how RiskState's engine consumes it — the current phase classification caps maximum position size continuously, every input and threshold auditable, so the slow structural context is enforced even on days when the fast signals look exciting. Where are we now, what does it permit, and how would you know if you were wrong — answered live, on every decision.