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Short-Term vs Long-Term Holder Dynamics

Understanding Holder Cohorts

Bitcoin holder behavior can be categorized into two distinct cohorts: Short-Term Holders (STH) who have held coins for less than 155 days, and Long-Term Holders (LTH) who have held for 155+ days. Understanding the dynamics between these groups provides crucial insights into market cycles and price movements.

The 155-day threshold is statistically derived from analyzing holder behavior patterns. This timeframe represents the point where Bitcoin holders transition from speculative trading behavior to long-term investment mindset, often weathering significant price volatility.

STH behavior drives short-term price volatility and market sentiment, while LTH behavior indicates long-term conviction and provides market stability. The interplay between these cohorts creates predictable patterns around market cycles.

Holder Cohort Characteristics:

Short-Term Holders: Recent buyers, price sensitive, drive volatility and momentum. Often capitulate during corrections

Long-Term Holders: Experienced investors, less price sensitive, provide stability. Rarely sell during corrections

Cohort Transitions: STH become LTH after 155 days, creating supply dynamics that affect price discovery

Market Cycle Applications:

During bull markets, STH accumulate rapidly while LTH distribute gradually. During bear markets, STH capitulate quickly while LTH accumulate or hold. These patterns create identifiable signals for cycle positioning and market timing strategies.

Supply Distribution Analysis

The percentage distribution of Bitcoin supply between Short-Term and Long-Term Holders reveals market participation dynamics and cycle positioning. This metric shows who controls Bitcoin supply at any given time and their likely behavioral patterns.

Supply percentages are calculated as: (STH Supply ÷ Total Supply) × 100 and (LTH Supply ÷ Total Supply) × 100. These percentages always sum to 100% and shift based on trading activity and holder transitions over the 155-day threshold.

High STH supply percentages (25-40%) often coincide with market tops and increased volatility, while high LTH percentages (70%+) typically occur during bear markets and accumulation phases.

Supply Distribution Patterns:

High STH Supply (25-40%): Market tops, new participant influx, increased volatility risk

High LTH Supply (70%+): Bear markets, strong holder conviction, reduced selling pressure

Balanced Distribution: Transitional periods, healthy market dynamics, sustainable growth phases

STH vs LTH Supply Percentage

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Cost Basis Dynamics

Cost basis represents average acquisition price for each cohort, revealing profit/loss position and selling pressure. STH cost basis is volatile and responsive to recent action, while LTH provides long-term anchors.

Cost basis is calculated as average price paid by holders weighted by Bitcoin held. When price trades above cost basis, holders profit; when below, they are underwater.

STH cost basis acts as dynamic support/resistance, while LTH provides long-term anchors. Major divergences often signal market transitions.

Cost Basis Interpretation:

Price > Cost Basis: Holders in profit, potential selling pressure, especially from STH

Price < Cost Basis: Holders underwater, reduced selling pressure, accumulation opportunities

Short-Term Holder Cost Basis

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Long-Term Holder Cost Basis

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Cost Basis Change Analysis

STH Cost Basis Change tracks how much the average buying price of new Bitcoin holders is changing. When this changes quickly, it shows whether people are getting excited or scared about Bitcoin prices.

This metric measures how much the average price paid by new holders goes up or down. When it rises fast, lots of new people are buying Bitcoin at high prices because they fear missing out. When it drops fast, recent buyers are selling at a loss because they are panicking.

When this metric shoots up quickly, Bitcoin often reaches a peak within 2-4 weeks. When it drops sharply, Bitcoin often hits a bottom soon after. This helps predict when prices might reverse direction.

Rising Fast: Too much excitement, prices might drop soon, consider selling

Falling Fast: Too much fear, prices might rise soon, consider buying

STH Cost Basis Change Rate

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Cohort MVRV Analysis

MVRV ratios for each holder cohort reveal their respective profit margins and selling propensity. STH MVRV is more volatile and reaches extremes faster, while LTH MVRV is more stable and indicates long-term market health.

MVRV is calculated as: Market Price ÷ Cost Basis for each cohort. Values above 1.0 indicate profit, below 1.0 indicate losses. Historical extremes for each cohort provide cycle timing signals and risk management levels.

STH MVRV extremes (>2.0 or <0.8) often precede short-term reversals, while LTH MVRV extremes indicate major cycle turning points. Combined analysis provides comprehensive market positioning insights.

MVRV Cohort Signals:

STH MVRV > 2.0: Short-term overheating, potential correction, take-profit opportunities

STH MVRV < 0.8: Short-term capitulation, often marks local bottoms

LTH MVRV Extremes: Rare but significant cycle signals when reaching historical boundaries

Short-Term Holder MVRV

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Long-Term Holder MVRV

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STH Profit Analysis

STH Supply in Profit tracks the percentage of Short-Term Holders (coins held <155 days) currently in profit. This metric reveals the sentiment and potential selling pressure from recent market participants.

This is calculated as: (STH BTC in Profit ÷ Total STH Supply) × 100. STH profit levels are highly volatile, fluctuating rapidly between profit and loss during market volatility.

STH profit patterns are extremely volatile - they can swing from 90% profit to 20% loss within weeks during corrections. During bear markets, STHs typically experience prolonged periods in loss, often 12-18 months, compared to LTHs who rarely sustain losses.

High Profit (>80%): Distribution risk, potential selling pressure from recent buyers

Extended Loss Periods: STHs can remain underwater for 12+ months during bear markets

Low Profit (<40%): Accumulation opportunity, weak hands already shaken out

Short-Term Holders in Profit

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Long-Term Holders in Profit

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LTH Profit Analysis

LTH Supply in Profit measures the percentage of Long-Term Holders (coins held 155+ days) currently in profit. This provides insight into major market cycle phases and long-term holder conviction.

Calculated as: (LTH BTC in Profit ÷ Total LTH Supply) × 100. LTHs remain in profit for extended periods during bull markets, often 2-3 years. When they do fall into loss territory, it typically marks significant cycle bottoms.

LTH losses are rare but significant - when LTHs drop below break-even and extend into loss territory, it historically marks major cycle bottoms. Unlike STHs, LTH profit losses are brief (typically 3-12 months) and mark maximum opportunity zones.

Extended Profit (>90%): Bull market maturity lasting 2-3 years, potential major cycle tops

Break-Even & Loss: Extremely rare events marking historic cycle bottoms and maximum opportunity

Brief Loss Periods: LTH losses typically last only 3-12 months, unlike STH extended underwater periods

Complete Market Structure Analysis

The Cohort Profit/Loss Analysis provides a comprehensive view of Bitcoin holder behavior by combining supply distribution with profitability status across all holder cohorts.

When STH supply dominates (25-40% of total) AND most are in profit, this typically marks cycle peaks. Conversely, when LTH supply dominates (70%+) with significant portions in loss, this often indicates cycle bottoms.

Cohort Supply Profit/Loss Distribution

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Relative LTH/STH Realized P/L

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Complete Market Structure Analysis

The Cohort Profit/Loss Analysis combines supply distribution with profitability status across all holder cohorts. This visualization reveals market structure at any point in time and provides signals for market cycle identification.

This analysis divides all Bitcoin supply into four distinct categories: Long-Term Holders in Profit (blue), Long-Term Holders in Loss (light blue), Short-Term Holders in Loss (pink), and Short-Term Holders in Profit (red). The stacked visualization shows both the absolute amounts and relative proportions of each cohort simultaneously.

Market Cycle Patterns

Bull Market Peaks: Large red (STH in profit) sections indicate excessive speculation and distribution risk

Bear Market Bottoms: Dominant blue (LTH in profit) with growing light blue (LTH in loss) shows strong holder conviction

Market Transitions: Changing proportions between cohorts reveal shifting market dynamics and participant behavior

Capitulation Events: Rapid increases in pink sections (STH in loss) often mark major selling climaxes

Why This Analysis is Critical

This cohort breakdown shows both holder composition and profit/loss status, which influences selling behavior. The combination of these factors can provide insights for cycle timing and risk assessment.

Market Psychology & Practical Applications

The behavior patterns of different holder cohorts reflect underlying market psychology and provide predictive insights into future price movements. Understanding these psychological drivers helps explain why certain price levels act as support or resistance.

STH behavior is driven by fear and greed, creating momentum and volatility. LTH behavior reflects long-term conviction and fundamental analysis, providing stability and trend direction.

Psychological Dynamics:

STH Psychology: FOMO-driven buying, panic selling, momentum following, media influenced

LTH Psychology: Conviction-based holding, contrarian accumulation, fundamental focus

Cohort Interactions: STH volatility tests LTH conviction, creating natural market cycles

Practical Applications:

Monitor STH metrics for short-term trading opportunities and risk management. Use LTH metrics for long-term positioning and cycle analysis. The greatest opportunities often occur when STH capitulate while LTH accumulate, creating powerful contrarian signals.