This is Section 4, excerpted from our Amberdata Crypto Market Review 2025 and 2026 Outlook: Six Regimes, One Story. Our full report spans 14 sections - ETF flows, derivatives, on-chain, liquidity, and our complete 2026 outlook.
Returns, drawdowns, volatility, and correlations - the numbers behind the narrative.
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KEY TAKEAWAYS |
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Bitcoin ended 2025 down 7.3% YTD. That single number hides a 32% maximum drawdown, a -20.4% return in the final two months, and correlation patterns that shifted dramatically across regimes. The headline return is noise. The risk-adjusted story - how returns were generated and when - is signal.
Revealing Dispersion. Breaking performance into monthly components reveals the dispersion that headline YTD figures obscure.
Figure 4.1: BTC Monthly Returns - 2025 - Seven positive months versus five negative. April's +10.6% best month; November's -17.9% worst. The dispersion tells the story.
The Winners. January (+8%), April (+10.6%), May (+8%), July (+10%), and September (+4%) delivered strong returns. These months aligned with favorable regime conditions - policy optimism in R1, infrastructure development in R3, and institutional expansion in R4.
The Losers. February (-16%), March (-4%), August (-4%), October (-8%), November (-17.9%), and December (+2% partial recovery). The February shock (Bybit hack) and October-November cascade dominated negative performance.
The Asymmetry. Winning months averaged +8%, losing months averaged -10%. Negative outliers hit harder than positive outliers helped. This asymmetry is characteristic of crypto - volatility clusters on the downside during stress. Risk management must account for this skew; equal weighting of upside and downside scenarios understates true portfolio risk.
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SO WHAT? Monthly return dispersion exceeds most traditional assets. Position sizing should account for the possibility of -17% months, not just average volatility. The distribution is not normal - fat tails exist on the downside. |
Rotation Toward BTC. Comparing Bitcoin and Ethereum performance reveals the continued rotation toward BTC as the institutional-grade asset.
Figure 4.2: Cumulative Returns: BTC vs ETH - BTC outperformed ETH by 4.2 percentage points. The gap widened during stress periods as flight-to-quality favored Bitcoin.
-7.3%
BTC YTD return versus ETH's -11.6%. Same market conditions, 4.2 percentage points of divergence. Beta didn't pay in 2025.
BTC Returns by Regime. Performance across 2025's six regimes:
R1 Policy Euphoria: +9.9%
R2 Security Shock: -19.6%
R3 Infrastructure Build: +21.5%
R4 Institutional Expansion: +8.0%
R5 Macro Shock: -7.6%
R6 Fragile Recovery: -20.4%
Extreme Dispersion. The regime dispersion is extreme - R3 delivered +21.5% while R6 took -20.4%. Timing entry by regime mattered more than asset selection.
ETH Underperformance. ETH's underperformance reflects institutional preference. ETF flows concentrated in Bitcoin products. Corporate treasury allocations went to BTC. The "digital gold" narrative dominated "world computer" in 2025's risk-off environment.
The regime-by-regime analysis reveals that BTC outperformed ETH in 5 of 6 regimes. The only regime where ETH kept pace was R3 (Infrastructure Build), when Ethereum-specific developments (L2 scaling, staking improvements) provided idiosyncratic support. In all other regimes, flight-to-quality favored the larger, more liquid asset.
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SO WHAT? For portfolio construction, ETH no longer provides meaningful diversification from BTC. Correlation during stress approaches 1.0. The allocation decision is BTC exposure versus no crypto exposure - not BTC versus ETH. |
Peak-to-Trough Decline. Maximum drawdown measures the peak-to-trough decline - the worst-case experience for anyone who bought at the top.
Figure 4.3: BTC Drawdown from ATH - Maximum drawdown of 32% on November 22. Current drawdown remains at 29.7% - the market hasn't recovered.
-32%
Maximum drawdown from all-time high, reached November 22, 2025. Current drawdown: -29.7%. The October cascade created a hole the market is still climbing out of.
Drawdown by Regime. Maximum drawdown experienced within each regime:
R1: -9.5%
R2: -20.6%
R3: -28.1%
R4: -12.2%
R5: -14.6%
R6: -32.0%
The R6 drawdown reflects cumulative damage - October's cascade plus November's continuation created the deepest hole.
Historical Context. For context: 2022's bear market reached -77% at its worst. 2025's -32% is significant but not historically extreme. However, the speed of October's move - much of the damage occurred in 48 hours - distinguishes this drawdown. Magnitude was moderate; velocity was extreme.
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SO WHAT? Drawdown recovery takes time. Current -29.7% drawdown requires +42% gain to return to ATH. With volatility elevated and momentum negative, recovery may be measured in months, not weeks. Position sizing should assume extended recovery periods. |
Risk Conditions Evolution. Rolling 30-day volatility reveals how risk conditions evolved through the year's different phases.
Figure 4.4: 30-Day Rolling Volatility - Volatility peaked at 72% during stress. Current 35% is below the 41% average - reflecting post-crisis calm, not structural change.
Volatility by Regime. 30-day annualized volatility across 2025:
R1 Policy Euphoria: 45% (post-ETF adjustment)
R2 Security Shock: 39% (shock absorption)
R3 Infrastructure Build: 54% (high but recovering)
R4 Institutional Expansion: 30% (calm before storm)
R5 Macro Shock: 39% (during cascade)
R6 Fragile Recovery: 43% (elevated recovery)
Notably, R4's 30% volatility was the year's lowest - calm conditions that preceded October's shock.
R4's 30% volatility was the calm before the storm. Low volatility doesn't mean low risk - it often means risk is building invisibly.
Current Conditions. Current volatility at 35% sits below the 41% annual average. This reflects subdued activity during recovery rather than structural risk reduction. Volatility tends to cluster - periods of calm are followed by periods of stress. The current calm should not be confused with safety.
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SO WHAT? Low volatility periods often precede high volatility events. R4's 30% volatility was the calm before October's storm. Current 35% volatility provides breathing room but not safety assurance. Maintain hedges even when implied volatility seems low. |
Portfolio Diversification. BTC-ETH correlation measures how similarly the two assets move - critical for portfolio diversification assumptions.
Figure 4.5: BTC-ETH 30-Day Rolling Correlation - Correlation spiked toward 1.0 during October stress. Diversification benefits disappeared when most needed.
Correlation Interpretation. How to read correlation levels:
Above 0.9: "Correlation 1" regime - indiscriminate selling
0.7-0.9: High but normal for crypto
0.5-0.7: Offers some diversification
Below 0.5: Provides genuine diversification benefit
October drove correlation toward 1.0 as all crypto assets sold together.
Consistent Pattern. This pattern is consistent with historical stress events. During liquidation cascades, traders don't discriminate - they sell whatever they can. Correlation approaches unity precisely when diversification would be most valuable. Portfolio construction must account for this stress-state behavior, not rely on normal-state correlation assumptions.
Portfolio Construction Implications. For portfolio construction purposes: assume correlation = 1.0 during any stress scenario. Run stress tests using unity correlation, not historical average correlation. Size positions such that simultaneous 30% declines across all crypto positions remain survivable. The diversification benefit is a fair-weather friend.
Complete Picture. Synthesizing returns, volatility, and risk-adjusted metrics by regime reveals the complete picture.
Figure 4.6: Regime Performance Matrix - R3 delivered the best risk-adjusted returns. R6 delivered the worst. Regime identification matters more than timing within the regime.
Best Risk-Adjusted. R3 (Infrastructure Build) delivered +21.5% return with 54% volatility - Sharpe of approximately 0.40. R4 delivered +8.0% with only 30% volatility - similar Sharpe but lower absolute return.
Worst Risk-Adjusted. R6 (Fragile Recovery) delivered -20.4% return with 43% volatility - negative Sharpe. R2 (Security Shock) delivered -19.6% with 39% volatility - similarly poor.
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SO WHAT? Regime identification is the primary alpha source in crypto. Within-regime timing matters less than being correctly positioned for regime character. The Amberdata Crypto Market Review 2025's regime framework (Section 3) provides the foundation for this analysis. |
Clear Signals. The 2025 performance data provides several clear signals for 2026 positioning.
Regime Matters Most. The dispersion between the best regime (+21.5%) and worst regime (-20.4%) exceeds the dispersion between assets (BTC -7.3% vs ETH -11.6%). Regime identification should drive larger allocation decisions than asset selection within crypto.
Recovery Is Not Guaranteed. Current 29.7% drawdown requires +42% gain to return to ATH. Historical recovery times from similar drawdowns range from 3-18 months. Position sizing should assume extended recovery rather than V-shaped bounce.
Volatility Signals. Current 35% volatility below average (41%) provides an entry opportunity for volatility strategies. Mean reversion suggests volatility will increase. Options strategies that benefit from volatility expansion may be timely.
Correlation Assumptions. Do not assume BTC/ETH diversification during stress. Portfolio construction should treat crypto exposure as a single correlated block. True diversification requires assets outside the crypto ecosystem.
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THE BOTTOM LINE |
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2025's -7.3% YTD return obscures the real story: extreme regime dispersion (+21.5% to -20.4%), a 32% maximum drawdown, and correlation behavior that eliminated diversification during stress. Risk-adjusted analysis reveals that regime positioning dominated all other factors. R3 and R4 rewarded exposure; R2 and R6 punished it. For 2026, the implication is clear: regime identification matters more than asset selection within crypto. The framework for that identification drives the strategic analysis in subsequent sections. |
This analysis builds on (S3)'s regime definitions that established the six distinct market phases. The performance patterns here validate that regime classification captures meaningful market state differences.
From here, (S5) examines how carry trade economics varied across these regimes - connecting performance outcomes to the yield-seeking behavior that drove much of 2025's leverage buildup. (S6) analyzes liquidity conditions that amplified drawdowns, and (S14) uses these performance patterns to model 2026 scenarios.
This article provides the performance analysis. The full Amberdata Crypto Market Review 2025 goes deeper:
Full-Market Research. Institutional Depth. Derivatives, ETFs, on-chain, DEXs, microstructure, risk signals - and more. Subscribe at the bottom of our page for research that covers every corner of crypto and visit the Amberdata Research Blog.
Access Amberdata Intelligence for institutional-grade digital asset intelligence, or contact our team to discuss custom solutions.
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