Crypto Correlation Matrix
Understand correlation coefficients from -1 to +1. Analyze BTC/ETH, crypto vs stocks/gold/bonds, and how correlations collapse during crashes. Build diversified portfolios using correlation data.
1. Correlation Basics (-1 to +1)
Correlation measures how two assets move together. The range is -1 to +1: +1 means perfect positive correlation (move in lockstep), 0 means no correlation (move independently), -1 means perfect negative correlation (move opposite).
In practical terms: Bitcoin-Ethereum correlation of 0.85 means they're highly correlated—when BTC rises, ETH usually rises too. But 0.85 is not 1.0, so they occasionally diverge. Ethereum might benefit from network upgrades while Bitcoin stalls; over a month, correlation might drop to 0.70 before reverting to 0.85.
Gold typically shows 0.1 to 0.3 correlation with Bitcoin—they move mostly independently. US Stocks show 0.2-0.4 correlation with crypto in bull markets but spike to 0.8+ during bear markets when equities and crypto both fall (risk-off sentiment).
2. Bitcoin-Ethereum Correlation ~0.85
Bitcoin and Ethereum typically correlate around 0.85, the highest of any major cryptocurrencies. This reflects Bitcoin's dominant influence on crypto markets—it sets the macro tone for the entire sector. When Bitcoin rallies, money flows to alts and Ethereum; when Bitcoin falls, altcoins get hit hardest.
The 0.15 gap (1.0 minus 0.85) represents Ethereum's relative independence. Ethereum has distinct fundamentals: network activity, smart contract activity, liquid staking dynamics, MEV-Burn mechanisms, and Layer 2 scaling success. During periods of strong Ethereum development (Shanghai upgrade, Dencun), correlation might drop to 0.75; during macro Bitcoin dominance cycles, it rises to 0.90+.
This 0.85 correlation means holding 50 BTC and 50 ETH is NOT equivalent to holding 100 BTC. The combined portfolio is less volatile than 100% Bitcoin but you're not getting "diversification" in the traditional sense. To truly diversify, look outside the BTC-ETH core.
3. Crypto vs Stocks, Gold, Bonds
US Stocks (S&P 500): 0.2-0.4 correlation with crypto in bull markets. Stocks trade on earnings, Fed policy, economic data. Crypto trades on technicals, speculation, sentiment. In late 2023-early 2024, correlation rose to 0.6+ due to synchronized risk-on sentiment (Fed pivot, Bitcoin ETF approvals), but typically stays moderate.
Gold: 0.1-0.2 correlation with Bitcoin. Gold traditionally hedges inflation and risk. Crypto doesn't—it's a risk asset. When inflation expectations rise without Fed policy changes, gold rallies while crypto might stall. True negative correlation (-0.1 to -0.3) occasionally appears in periods of flight-to-safety, when investors buy gold while selling everything else.
US Bonds (Treasury yields): 0.1-0.3 negative correlation. Rising rates typically hurt both bonds and crypto, but the mechanism differs—rates make risk assets less attractive globally. During the 2022 bear market, bonds and Bitcoin were briefly negatively correlated because bonds rallied on recession fears while Bitcoin stabilized.
Stablecoins (USDC, USDT): 0 correlation. They're pegged to USD and don't fluctuate. Holding 30% stablecoins in a portfolio reduces volatility significantly without requiring exposure to non-crypto assets.
4. Why Correlations Spike During Crashes
During market crashes, nearly every risk asset correlates to 1.0—everything falls together. In the March 2020 COVID crash, Bitcoin, Ethereum, altcoins, stocks, commodities all tanked simultaneously. The 0.85 BTC-ETH correlation became effectively 0.98+. Your "diversified" portfolio of 50 BTC / 50 ETH experienced nearly identical drawdowns.
Why does this happen? Forced selling—margin calls force liquidations across all positions. When lenders start calling in loans, borrowers sell everything to raise cash. Retail panic redeeming from funds. Institutional risk management selling uncorrelated assets to reduce exposure. In these moments, correlations are determined by liquidity and forced redemptions, not fundamentals.
The November 2022 FTX collapse showed this clearly. Bitcoin fell 20% in a week, but alts fell 30-50% as margin calls cascaded. During May 2024 liquidations, the correlations again spiked to 0.95+. This is why portfolio construction must account for tail risk, not just average correlation.
You can't diversify away systemic risk using only crypto assets. Holding stablecoins, cash, bonds, or treasuries (correlation 0 to -0.2 to crypto during crashes) is the only way to reduce portfolio drawdowns when everything else correlates to 1.0.
5. Rolling Correlation Analysis
All-time correlation averages smooth out regimes. Bitcoin-Ethereum might be 0.85 all-time, but rolling 30-day correlation reveals dynamics. During 2023-2024, rolling 30-day BTC-ETH correlation ranged from 0.70 (when Ethereum outperformed on DeFi hype) to 0.93 (during Bitcoin's ETF rally).
Why this matters: When rolling correlations spike (0.90+), it signals a risk-off environment where diversification is breaking down. This is the signal to reduce leverage, hedge, or hold more stablecoins. When rolling correlations drop (0.60-0.70), pair-specific dynamics dominate—Ethereum network activity and Bitcoin macro sentiment decouple slightly, offering genuine diversification benefit.
Use rolling 30-day and 90-day correlations as portfolio management tools, not all-time averages. A portfolio designed for 0.85 average correlation that spiked to 0.95 in the past week needs rebalancing.
6. Using Correlation for Diversification
Strategy 1: Multi-asset allocation. 50% crypto (BTC, ETH, low-cap alts), 30% US stocks, 15% bonds, 5% gold. This diversifies across uncorrelated regimes. In a bear market, bonds rally while crypto falls. In crypto bull markets, you capture upside.
Strategy 2: Within-crypto diversification. 60% Bitcoin (market leader, lower volatility), 25% Ethereum (smart contract utility), 10% established altcoins (Solana, Polygon for DeFi exposure), 5% stablecoins (zero correlation ballast). This accepts that correlations spike to 0.95+ but provides some volatility buffer.
Strategy 3: Sector rotation. When correlation spikes, rotate to stablecoins. When correlations normalize (0.75-0.85), increase altcoin allocation. This active rebalancing requires monitoring rolling correlations weekly.
Strategy 4: Derivative hedging. Hold Bitcoin outright, hedge with Bitcoin put options or inverse positions when correlation reaches 0.92+. This is advanced but addresses tail risk explicitly.
7. Interpreting the Correlation Matrix
A correlation matrix displays correlations between multiple asset pairs. Row and column headers are assets (BTC, ETH, SOL, USDC, Gold, Stocks). Each cell shows correlation. Diagonal is always 1.0 (asset correlates perfectly with itself).
Reading: Find BTC row, ETH column (or vice versa): correlation 0.85. Find BTC row, USDC column: correlation 0.02. Find BTC row, Stocks column: correlation 0.25.
Look for patterns: High correlations (>0.7) mean you're not diversifying—think carefully about concentrated positions. Low correlations (<0.3) mean these assets provide genuine diversification benefit. Zero or negative means they truly offset each other.
Best portfolios combine high-correlation assets (BTC, ETH) for exposure with low-correlation ballast (stables, bonds) for stability. The mix depends on your risk tolerance and time horizon.
8. Frequently Asked Questions
What does a correlation of 1.0 mean?
A correlation of 1.0 means perfect positive correlation—two assets move in lockstep. When one goes up 10%, the other also goes up 10%. Bitcoin and Ethereum have ~0.85 correlation, meaning they move together most of the time but occasionally diverge. A correlation of 1.0 means holding both offers zero diversification benefit.
What does a negative correlation mean?
A negative correlation means assets move opposite directions. If correlation is -0.5, when one rises, the other tends to fall. In crypto, true negative correlations are rare—most assets eventually correlate to Bitcoin. Gold sometimes shows -0.1 to -0.3 correlation with crypto, providing hedging, but this breaks during systemic risk events when everything correlates to 1.0.
Why do correlations spike to 1.0 during crashes?
During market stress, all risk assets correlate to 1.0—everyone exits simultaneously. Whether you hold Bitcoin, Ethereum, or altcoins, they all decline together. This is "forced correlation" from redemptions and margin calls. The diversification you relied on vanishes when you need it most. This is why holding some cash or non-correlated assets (bonds, stables) matters in portfolio design.
How do I use correlation data for diversification?
Look for assets with low or negative correlations in normal markets (not crashes). The goal is to smooth returns and reduce drawdown magnitude. A 60/40 portfolio of Bitcoin and stablecoins has lower volatility than 100% Bitcoin despite lower returns. Alternative: diversify crypto with non-crypto assets—stocks, bonds, gold have shown 0.2-0.5 correlation to crypto during bull markets.
What are rolling correlations and why do they matter?
Rolling correlations measure correlation over a moving window (30-day, 90-day) rather than all-time. Bitcoin-Ethereum correlation might be 0.85 all-time but 0.92 over the past 30 days and 0.70 over the past 6 months. Rolling windows reveal regime changes—when correlations spike, it signals market stress. Monitoring rolling 30-day correlations helps identify when diversification is breaking down.
Are there any truly uncorrelated assets in crypto?
Not really. All cryptocurrencies correlate highly to Bitcoin—it drives macro sentiment. Stablecoins have ~0 correlation to BTC because they're pegged to fiat. Privacy coins (Monero) have shown slightly lower correlation during certain periods. Synthetic assets and derivatives behave differently but carry counterparty risk. Best diversification in crypto comes from combining crypto with non-crypto assets or using stablecoins as portfolio ballast.