Holder Cohorts: Long-Term vs Short-Term Holders and What Their Behavior Reveals

Bitcoin and Ethereum holders aren't a homogeneous group. Some have held for years; some bought yesterday. The two cohorts have fundamentally different behaviors, motivations, and reactions to price moves. Splitting the holder base by how long coins have been held reveals which group is currently driving the market, and that's a different, often more useful, read than aggregate metrics.

The basic split

The standard cohort definition (Glassnode, etc.):

Long-term holders (LTH): addresses holding coins that have not moved in 155+ days (about 5 months).

Short-term holders (STH): addresses holding coins that have moved within the last 155 days.

Why 155 days specifically? Empirical: across multiple cycles, coins held for ~155 days have a much lower probability of being spent than coins held for less. The threshold roughly captures the boundary between "still actively traded" and "settled into holding mode."

These aren't immutable groups. Coins continuously transition: an STH that holds long enough becomes an LTH; an LTH that finally sells contributes to STH supply.

Why the split matters

LTH and STH behave very differently:

LTH are typically:

• Buying near cycle bottoms when price action is depressing
• Patient through long stretches of nothing
• Distributing into late-cycle euphoria (the people who can smell the top because they've been through it before)
• Less reactive to short-term price moves

STH are typically:

• More reactive to news and short-term momentum
• More leveraged (active traders)
• More likely to capitulate on drawdowns
• Distributing on local highs, capitulating on local lows

The aggregate metrics (price, total flow, total supply) blend these two cohorts. The split tells you which cohort is currently acting and what they're doing.

The supply distribution map

Glassnode publishes a chart called "Supply held by LTH" (and mirror for STH) over time. Reading this chart is one of the highest-leverage habits in on-chain analysis.

The patterns you'll see:

LTH supply rising during bear markets. As price falls and fearful holders sell, the buyers absorbing the supply are LTH, patient hands accumulating into weakness. By the time the bear-market low is in, LTH supply has typically grown substantially. This is the "HODLing" everyone tweets about; it's real and quantifiable.

LTH supply falling during late bull markets. As price climbs into euphoria, LTH start distributing into the demand. They sell into the strength. By the time the cycle top is in, LTH supply has often dropped meaningfully, patient money has cashed out into the rally.

STH supply mirrors price. STH supply grows during rallies (new buyers joining) and shrinks during pullbacks (capitulation). Less informative on its own; very informative paired with LTH.

The cyclical pattern: LTH accumulate at lows → distribute at highs → accumulate again at the next cycle's low. STH chase the trend in both directions.

HODL Waves, the visualization

A "HODL Wave" chart is a stacked area chart where each colored band represents the supply held for a specific time bucket: 0-1 day, 1d-1w, 1w-1m, 1m-3m, 3m-6m, 6m-1y, 1y-2y, 2y-3y, 3y-5y, 5y+.

Reading it: when the long-held bands (3y+, 5y+) are large and growing, supply is settling into committed holders. When the short-held bands (0-1m, 1m-3m) are large and growing, supply is actively churning.

The HODL Wave chart is the most compressed view of the entire holder distribution. A glance tells you whether the market is in distribution (long-held bands shrinking) or accumulation (long-held bands growing).

How to use cohort data tactically

1. Cycle stage identification.

• LTH supply growing rapidly with depressed price = late bear / bottoming process
• LTH supply flat with rising price = healthy bull continuation
• LTH supply shrinking with rising price = late-bull distribution
• LTH supply shrinking with falling price = LTH capitulation (rare and severe)

2. Conviction read. Aggregate price moves tell you what the market did. LTH cohort behavior tells you what the committed holders did. A rally that the LTH cohort participates in (LTH supply not shrinking into the rally) is healthier than a rally where LTH are distributing into it.

3. Bottom-detection signal. Historically, LTH supply growth has been the most reliable bottom indicator. When patient money is aggressively buying weakness, the underlying flow has shifted regardless of how ugly the chart looks.

LTH MVRV and NUPL, the cohort-specific valuation

The valuation metrics (MVRV, NUPL) become much more powerful when computed for LTH and STH separately:

LTH MVRV near 1.0 = patient holders are at break-even on average. Generationally bullish, the patient hands have absorbed pain, no one's left to capitulate, and they're positioned for the next move.

LTH MVRV very high (3+) = patient holders sitting on huge unrealized gains. Distribution risk is elevated. The smart money has the most reason to take profit.

STH MVRV below 1 = recent buyers are underwater. Short-term capitulation pressure. Often coincides with local bottoms or ranges where weak hands are flushed out.

STH MVRV very high = recent buyers in big profit. They're the demographic most likely to take quick profits on a pullback.

The cohort split surfaces dynamics the aggregate hides.

A common mistake: looking at aggregate cohort data without context

A trader sees "LTH supply at all-time high" and concludes "super bullish." But LTH supply being at ATH could mean:

• Patient holders accumulated through a bear (genuinely bullish setup)
• Few coins have been moving so the LTH bucket has mechanically grown (less informative)
• A specific cohort (e.g., institutional cold storage) has been growing without reflecting broader market behavior

Always check the trend and rate of change alongside the absolute level. LTH supply growing at 100k BTC/month during a flat price is a strong accumulation signal. LTH supply growing at 5k BTC/month is barely informative.

A common mistake: mixing chains carelessly

Bitcoin's LTH/STH split has decades of history and clear behavioral patterns. Ethereum's split is somewhat similar but distorted by staking (33%+ of ETH is locked in staking, behaves differently than free-floating supply). Other chains have less historical data and different population dynamics.

Don't apply Bitcoin's exact LTH/STH thresholds and behaviors to other assets without verifying. The principles transfer; the specific numbers don't.

A common mistake: treating LTH as monolithic

LTHs aren't a single group. Within LTHs, there are:

• Pre-2018 holders (oldest, most price-insensitive)
• Pre-2021 holders (committed but less hardened)
• Recently-graduated LTHs (technically 155+ days but less proven)

The longest-held bands are the most reliable signal of true "diamond hand" behavior. A growing LTH supply that's specifically growing in the 5y+ band is much stronger than the same growth concentrated in the 6m-1y band.

Use HODL Waves to see this; aggregate "LTH supply" hides it.

Mental model, cohorts as two markets in one

Imagine the market has two simultaneous populations: tourists and locals. Tourists (STH) come and go, react to short-term news, chase trends, and panic at scary moments. Locals (LTH) live there full-time, know the patterns, and quietly buy when tourists are scared and sell when tourists are euphoric.

The aggregate price reflects the activity of both. The cohort split tells you which group is driving the current move and which is on the other side. When tourists are buying from locals, late-cycle tops form. When locals are buying from panicking tourists, generational bottoms form.

Why this matters for trading

Cohort analysis gives you a "who's doing what" view that nothing in TA can provide. Glassnode publishes the basic LTH/STH splits and HODL Waves on the free tier. Make checking these a weekly habit alongside MVRV and exchange flows. The combination gives you a robust positioning context that disambiguates ambiguous price action, when the chart could be early-bull or late-bear, the cohort data usually picks a side.

Takeaway

Holders aren't homogeneous. Long-term holders (155+ day dormancy) and short-term holders behave very differently, LTH accumulate into weakness and distribute into strength; STH chase trends in both directions. Watching LTH supply growth, LTH MVRV, and HODL Waves identifies the cycle stage more reliably than aggregate price action. The split between cohorts is one of crypto's most informative on-chain reads. Use it weekly; use it as primary cycle context.