Crypto Correlation Calculator
Free Crypto Correlation Calculator. Measure price correlation between any two cryptocurrencies and build a diversified portfolio with lower overall risk.
Calculate Asset Correlation
Enter monthly returns for two assets to compute their Pearson correlation coefficient.
How to use Crypto Correlation Calculator
The Crypto Correlation Calculator measures how closely two cryptocurrency prices move together over a chosen time period. Enter two assets (e.g., BTC and ETH), select a lookback window (7, 30, 90, or 365 days), and the tool returns a Pearson correlation coefficient from -1.0 (perfect inverse) to +1.0 (perfect lockstep). A score above +0.7 means the pair tends to rise and fall together; below -0.3 suggests meaningful diversification benefit.
Use correlation data to build a portfolio where assets don't all crash simultaneously. For example, BTC-ETH correlation typically hovers around +0.85, meaning they offer minimal diversification from each other. Pairing crypto with stablecoins (correlation near 0) or certain DeFi tokens that track protocol revenue rather than market sentiment can lower overall portfolio volatility.
Input guide and assumptions
The two asset fields accept any cryptocurrency ticker available on CoinGecko (5,000+ coins). The time window determines the lookback period for daily closing prices used in the correlation calculation. Shorter windows (7-30 days) capture recent regime changes; longer windows (90-365 days) provide more stable, statistically significant results.
The output includes the correlation coefficient, a scatter plot of daily returns, and a rolling correlation chart. When the rolling correlation diverges sharply from its historical average, it may signal a structural market shift — such as a sector rotation where altcoins decouple from Bitcoin's trend.
How to interpret results correctly
The correlation coefficient ranges from −1 to +1. A value above +0.7 means two assets move closely together — holding both provides minimal diversification benefit. Below −0.3 means the assets tend to move in opposite directions, providing strong hedging value. Between −0.3 and +0.7 is the diversification sweet spot where assets are related enough to both benefit from crypto market growth but different enough to reduce portfolio volatility.
Always check the time period used. A 30-day correlation may differ dramatically from a 365-day one. BTC and ETH show +0.85 correlation over a year but can diverge to +0.4 during altcoin seasons when ETH outperforms. Use a timeframe matching your investment horizon — short-term traders should use 30-day correlation, while long-term holders should rely on 180–365 day readings. Cross-check with our <a href="/profit-calculator/">profit calculator</a> to see how correlated movements affect your portfolio returns.
Practical scenarios and planning workflow
Portfolio construction: you hold 60% BTC and 40% ETH. With a correlation of +0.87, your portfolio has almost zero diversification — it effectively behaves as a single asset. Adding 15% allocation to a low-correlation asset (gold tokenized at +0.15 correlation, or a DeFi index at +0.35) would meaningfully reduce portfolio drawdowns during BTC-led crashes.
Pairs trading: two L1 tokens show +0.92 correlation over 90 days. When one temporarily drops 8% while the other drops only 2%, this 6% divergence from the historical pattern suggests the laggard may revert. Use this signal to go long the underperformer and short the outperformer, targeting convergence. Calculate position sizes with our <a href="/position-size-calculator/">position size calculator</a>.
Risk and execution checklist
- Before relying on correlation data: 1) Verify the calculation uses at least 90 days of data — shorter windows produce unstable readings. 2) Check whether the period includes any extraordinary events (exchange collapse, regulatory announcement) that may skew the result. 3) Confirm both assets had consistent trading volume throughout the period — illiquid assets show artificially low correlation.
- After calculating: note that correlation is backward-looking and can shift rapidly during market stress. In the March 2020 crash, nearly all crypto assets moved to +0.95 correlation as everything sold off together. Do not assume current diversification benefits will persist during the next crisis.
Common mistakes to avoid
- The biggest mistake is assuming low correlation means zero risk. Two assets with +0.2 correlation can still both drop 30% in a market-wide panic — correlation measures the direction and magnitude of co-movement, not the absolute risk of either asset. A portfolio of 10 low-correlation crypto assets is still heavily exposed to systemic crypto risk.
- Another common error is using price correlation instead of return correlation. Price correlation between BTC at $70K and ETH at $2.3K is meaningless — always use percentage returns (daily or weekly) as the correlation input. Raw price levels create spurious correlation driven by the upward trend in both assets rather than their actual co-movement patterns.
Performance benchmarks and expectation ranges
Typical crypto correlation ranges: BTC↔ETH +0.80–0.90, BTC↔large-cap alts +0.60–0.80, BTC↔small-cap alts +0.30–0.60, BTC↔stablecoins ~0.00, BTC↔gold +0.05–0.25, BTC↔S&P 500 +0.30–0.50. These ranges shift with market regimes — bull markets compress all correlations upward, bear markets show brief divergence before convergence.
For meaningful diversification, target at least 20% of your portfolio in assets with under +0.5 correlation to your core holding. Academic research suggests the diversification benefit plateaus at 8–12 uncorrelated assets — beyond that, additional positions add complexity without meaningfully reducing risk.
Execution templates you can reuse
Quarterly rebalancing workflow: 1) Calculate pairwise correlations for all portfolio holdings using 180-day returns. 2) Identify any pair above +0.85 — consider reducing one position. 3) Look for assets under +0.3 correlation to your largest holding that have positive expected returns. 4) Adjust allocations using our <a href="/crypto-portfolio-rebalance-calculator/">portfolio rebalancing calculator</a>.
For risk management, set alerts when correlation between your two largest holdings crosses above +0.90 for 30 consecutive days. This signals your portfolio has effectively become a single-asset bet and needs diversification adjustment before the next correction.
Data hygiene and model maintenance
Recalculate portfolio correlations monthly. Market regime changes (bull→bear, low vol→high vol) shift correlations significantly. A quarterly review is the minimum; monthly is preferred for active portfolios. Archive historical correlations to spot trends — if two assets are becoming more correlated over time, their diversification benefit is degrading.
Use multiple data sources to verify correlation calculations. Different exchanges may report slightly different prices due to liquidity variations. CoinGecko, CoinMarketCap, and exchange-specific APIs may produce correlations that differ by 0.02–0.05. If sources disagree by more than 0.10, investigate the data quality.
Final validation before capital deployment
Validate correlation results by visual inspection: plot both assets' normalized returns on the same chart. High positive correlation should look like two lines moving in tandem. If the chart shows frequent divergences but the calculator reports +0.85, check for data errors or mismatched time periods.
Back-test your correlation assumptions. If you built a portfolio based on +0.3 correlation between BTC and a DeFi token, check whether that correlation held during the last 3 market drawdowns. Correlation during drawdowns matters far more than correlation during calm markets — stress-test your diversification assumptions.
Frequently asked questions
What is a crypto correlation calculator?
A correlation calculator measures how two crypto assets move together, from −1 (opposite) to +1 (identical). BTC and ETH have ~0.85 correlation over 2024–2026, meaning ETH typically moves the same direction as BTC 85% of the time but with higher amplitude (beta ~1.3).
How is correlation calculated?
Pearson correlation = covariance(X, Y) / (stdev(X) × stdev(Y)) on daily log returns. Standard windows: 30-day for tactical, 90-day for portfolio construction, 365-day for strategic. Most tools use rolling windows so values change as markets evolve.
What is the BTC-ETH correlation in 2026?
90-day rolling BTC-ETH correlation averages 0.80–0.90 in normal markets, spiking to 0.95+ during crashes (March 2020, May 2022, Aug 2024). Crypto correlations rise toward 1.0 in stress events — a key reason "diversifying" across alts often fails to reduce drawdown.
Are stablecoins correlated with crypto?
USDC/USDT are near-zero correlation with BTC/ETH (≈ 0.05) by design. However during depegs (USDC March 2023, UST May 2022) correlation can spike to −0.4 as panic flows out of crypto into the stable. Treat stablecoin holdings as "low correlation" not "zero risk".
How do I use correlation for portfolio diversification?
Combine assets with correlation <0.5 for genuine diversification. Crypto baskets are limited because BTC dominates the factor structure. A typical "diversified" portfolio of BTC, ETH, SOL, AVAX, MATIC has effective number of bets ≈ 1.4 — basically all-BTC after accounting for correlation.
Does BTC correlate with the S&P 500?
2020–2022: 0.55–0.70 (high, due to liquidity-driven flows). 2023–2024: 0.20–0.35 (decoupling as ETF flows arrived). 2025–2026: ~0.30, with brief spikes to 0.6 during Fed pivots. BTC is no longer "uncorrelated" but is also not a 1:1 tech stock proxy.
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