Correlation Between Cryptocurrencies: How Bitcoin, Ethereum, and Altcoins Move Together
Feb, 21 2026
When you own Bitcoin, Ethereum, and a few altcoins, do they all go up and down together? If yes, then you might think you’re diversified-but you’re not. Cryptocurrency correlation is the hidden force shaping your portfolio’s real risk. It’s not about what coins you own; it’s about how they move in relation to each other. And right now, most of them are tightly linked-more than you might expect.
What Exactly Is Cryptocurrency Correlation?
Correlation measures how two assets move in relation to each other. It’s a number between -1 and +1. If two coins have a correlation of +1, they move in perfect sync-when one goes up, the other does too. A correlation of -1 means they move in opposite directions. Zero? No relationship at all. Most crypto pairs hover between 0.6 and 0.9, which means they’re strongly linked.
For example, Bitcoin and Ethereum-the two biggest coins-had a 24-hour correlation of 0.82 in early 2023. Over two years, it stayed around 0.83. But over six months? It jumped to 0.90. That’s not a coincidence. During periods of high market stress-like inflation scares or Fed rate hikes-investors treat crypto like a single risky asset class. They sell everything at once. That’s why your portfolio of 10 altcoins might still crash when Bitcoin drops.
How Do We Measure It?
The most common method is the Pearson Correlation Coefficient. It looks at how prices change together over time. If Bitcoin rises 5% and Ethereum rises 4.8% on the same day, over and over, their Pearson score climbs. It’s simple, widely used, and works well for crypto data.
But there are other methods. Spearman and Kendall’s Tau are used when price movements aren’t perfectly linear-like when one coin jumps on news and another lags. These are useful for spotting non-linear relationships, but most traders stick with Pearson because it’s clear, fast, and reliable.
To calculate it yourself, you need historical price data. Tools like CoinGecko, CoinMarketCap, or even Google Sheets can give you daily closing prices. Then, plug them into Excel’s =CORREL() function, or use Python with pandas. Within minutes, you can see how your entire portfolio is connected.
Correlation Isn’t Static-It Changes With the Market
Here’s the catch: crypto correlation isn’t fixed. It shifts with the market. During the pandemic, correlations between Bitcoin, Ethereum, Solana, and Dogecoin spiked as panic selling hit all assets equally. Then, in late 2023, as markets stabilized, correlations dropped back toward pre-2020 levels.
Why? Because market regimes change. When fear dominates, everyone sells. When confidence returns, investors start picking winners. That’s when correlation falls. A study tracking 20 cryptocurrencies from 2018 to 2022 found this pattern clearly: high correlation during crises, lower correlation during calm periods.
This matters because if you’re using old correlation data to manage risk, you’re flying blind. A 0.85 correlation from 2021 won’t help you today. You need real-time or rolling-window data-like a 30-day or 90-day correlation-to see what’s actually happening now.
What About Traditional Assets? Are Crypto and Stocks Linked?
Many investors thought crypto was a hedge against stocks. That’s not quite true. Research shows Bitcoin has a correlation of about 0.41 with small-cap growth funds-higher than with value funds (0.35). That means it moves more with tech stocks than with utility or energy stocks.
Compare that to traditional assets: mid-cap and small-cap value funds have a correlation of 0.97. That’s almost perfect. So while crypto isn’t fully tied to stocks, it’s not independent either. It’s more like a high-risk tech stock with no earnings.
This has big implications. If you’re holding crypto as a hedge against a stock market crash, you might be disappointed. During the 2022 bear market, Bitcoin fell 70% while the S&P 500 dropped 20%. They didn’t move oppositely-they moved down together.
Why This Matters for Your Portfolio
Here’s the brutal truth: owning 10 different cryptocurrencies doesn’t mean you’re diversified if they all move together. You’re not reducing risk-you’re just holding more of the same thing.
Let’s say you own Bitcoin, Ethereum, BNB, Solana, and Cardano. If all five have correlations above 0.8, then your portfolio behaves like a single asset with 5x the volatility. That’s dangerous. You think you’re spread out, but you’re not.
True diversification means owning assets that don’t move in lockstep. In crypto, that’s hard. But you can still improve it:
- Include low-correlation assets like stablecoins (USDT, USDC) for cash-like exposure
- Hold Bitcoin as your core, then pick one or two altcoins with historically lower correlation (e.g., Monero or Zcash-though data is limited)
- Use correlation heat maps to see which coins are acting like clones
Professional investors use tools like Bloomberg Terminal to build correlation matrices across hundreds of assets. You don’t need that. But you do need to check your own portfolio every few months. Just open CoinGecko, export price data for your holdings, and run a simple correlation check.
Advanced Tools: GARCH, EWMA, and Machine Learning
For serious investors, simple correlation isn’t enough. That’s where models like DCC-GARCH and EWMA come in. These aren’t just math-they’re designed to capture how correlation changes over time.
DCC-GARCH adjusts for volatility spikes. When Bitcoin crashes, volatility rises, and correlations often surge. This model captures that. EWMA gives more weight to recent data, so it reacts faster than old-school methods.
Machine learning adds another layer. Studies using LSTM neural networks found that combining correlation data with on-chain metrics (like transaction volume or wallet activity) improved prediction accuracy to 52%. That’s better than random guessing. ARIMA models? They failed. Simple moving averages? Not enough.
You don’t need to build an AI model. But if you’re managing a serious portfolio, learning how to use Python’s statsmodels or scipy libraries to run dynamic correlation models is a game-changer.
What Should You Do Right Now?
Here’s a simple three-step plan:
- Check your holdings. List every crypto you own. Use CoinGecko to download 90-day price data.
- Run the correlation. Paste the data into Google Sheets. Use
=CORREL(A:A,B:B)for each pair. Make a matrix. - Act on the results. If five coins have correlations above 0.8, you’re overexposed. Sell one. Add a stablecoin. Or wait for a period of low correlation to rebalance.
Correlation isn’t magic. It’s math. But math you ignore is dangerous. If you think owning 10 cryptos means you’re safe, you’re mistaken. You’re just holding more of the same bet.
What’s Next for Crypto Correlation?
As crypto becomes more integrated with traditional finance, correlation will become even more important. We’re already seeing hedge funds use correlation data to allocate between Bitcoin, gold, and Nasdaq futures. In five years, your crypto portfolio might be managed the same way as your stocks-using dynamic correlation models, real-time data, and risk-adjusted allocation tools.
The good news? You don’t need to wait. Start today. Open your wallet. Check your numbers. You might be surprised.
What does a correlation of 0.9 between Bitcoin and Ethereum mean?
A correlation of 0.9 means Bitcoin and Ethereum move in nearly perfect sync. When one goes up 5%, the other likely goes up 4.5% or more. This suggests they’re influenced by the same market forces-like investor sentiment, macroeconomic news, or regulatory announcements. It doesn’t mean one causes the other, just that their prices react similarly.
Can cryptocurrency correlation be negative?
Yes, but it’s rare. Most crypto pairs have positive correlations because they’re all speculative assets. Negative correlation (below 0) happens occasionally-for example, when one coin pumps on a specific upgrade while others stagnate. Monero and Bitcoin have shown brief negative correlations during privacy-focused market rallies. But sustained negative correlation between major cryptos is almost nonexistent.
Why do correlations increase during market crashes?
During crashes, investors panic and sell everything. They don’t care if it’s Bitcoin, Dogecoin, or a niche DeFi token-they just want cash. This "flight to liquidity" causes all risky assets to fall together, pushing correlations toward +1. It’s not about fundamentals-it’s about fear. Once the panic passes, correlations usually drop again as investors start picking winners.
Is correlation the same as causation?
No. Correlation tells you two things move together. It doesn’t tell you why. Bitcoin might rise because of a halving, while Ethereum rises because of a network upgrade. But if they move in the same direction, their correlation is high. Don’t assume one causes the other. Always look for underlying drivers.
How often should I check crypto correlations?
Check every 30 to 90 days. If you’re actively trading, check weekly. Correlation changes faster than you think-especially after major events like Fed announcements, ETF approvals, or regulatory crackdowns. Waiting six months means you’re using outdated data. Your portfolio’s risk profile changes with every market swing.
Can I use correlation to predict price movements?
Not directly. Correlation shows how assets move together, not where they’re headed. But combining correlation with other signals-like volume spikes, on-chain activity, or technical indicators-can improve predictions. Machine learning models that use correlation as one input have shown modest success. But no model can reliably predict crypto prices alone.
Megan Lavery
February 22, 2026 AT 03:46Love this breakdown! I just checked my portfolio last week and realized I had like 7 coins all hovering around 0.85 correlation. Felt like I was holding 7 copies of the same stock. Made the switch to dumping two altcoins and adding USDC - my peace of mind doubled overnight. Seriously, do the math. It’s not sexy, but it’s smart.
Mae Young
February 22, 2026 AT 18:18Oh, so now we’re treating crypto like a mutual fund? Let me grab my spreadsheet and my monocle. Correlation? Please. The market moves on memes, Elon tweets, and whether a dog coin’s mascot has a new tattoo. You think math saves you? Honey, when the next rug pull hits, your ‘low-correlation’ Monero will be the first one to crash - because it has zero liquidity and five devs who vanished in 2021.
Trenton White
February 24, 2026 AT 08:12Interesting perspective. I’ve noticed that during periods of global uncertainty - like the recent banking sector stress - even ‘independent’ assets like Bitcoin and gold showed synchronized dips. It makes me wonder if crypto’s correlation with traditional markets is becoming structural, not situational. Maybe we’re entering a phase where risk sentiment overrides asset-specific narratives.
Cheryl Fenner Brown
February 26, 2026 AT 08:06omg yes!! i just ran the correl in sheets and my whole portfolio looked like a rainbow of red. i thought i was diversified but nope. just 8 versions of ‘hope’. added some usdt and felt like i finally breathed. also, i’m using this free tool called crypto-correlator dot io - it’s kinda janky but works?? 🤞📈
Michael Teague
February 26, 2026 AT 17:33So you’re saying if I own 10 coins, I’m not diversified? Wow. That’s wild. I thought owning more meant I was safer. Guess I was wrong. I’ll just sell half and buy a house. At least houses don’t crash 70% in a week. Also, why does everyone keep saying ‘correlation’? It sounds like a word from a math class I skipped.
kati simpson
February 28, 2026 AT 01:24I’ve been holding BTC and ETH for years and never thought about how they move together. I just figured if one went up the other would too. But I never looked at the numbers. I did it now. They’re at 0.88. So I added a little XMR and ZEC. Not because I trust them. But because I need to feel like I’m not putting all my eggs in one basket. Even if the basket is just a digital wallet.
Cory Derby
February 28, 2026 AT 10:40Thank you for this exceptionally clear and well-structured exposition. The distinction between correlation and causation is particularly vital, and your emphasis on dynamic, rolling-window analysis is both prudent and aligned with best practices in quantitative finance. I would encourage all participants to consider using a 60-day window rather than 90, as it better captures the accelerated volatility cycles inherent in crypto markets.
Colin Lethem
March 1, 2026 AT 18:34bro i checked my portfolio last night and realized i had like 5 coins all moving like clones. i was like… wait, i thought i was being smart? turned out i just had 5 copies of bitcoin with different logos. i dumped two and added a stablecoin. now i sleep better. also, the correlation heatmap thing is wild - it looks like a neon grid of doom. highly recommend.
lori sims
March 2, 2026 AT 18:44I’ve been saying this for ages - owning a bunch of altcoins is like collecting different flavors of the same soda. They all taste like sugar and regret. I started adding non-crypto stuff too - like a tiny bit of gold ETF and even some REITs. It doesn’t make me rich, but it makes me feel less like I’m gambling on a meme. And honestly? That’s worth more than any ROI.
Kristi Emens
March 3, 2026 AT 16:38This is one of the most practical posts I’ve seen on crypto risk. I used to think correlation was just academic nonsense until my portfolio tanked in 2022. Now I check it every month. I don’t need fancy tools - just CoinGecko data and Excel. Simple. Clean. Effective. If you’re not doing this, you’re flying blind. And blind flying is how people lose everything.
Deborah Robinson
March 5, 2026 AT 10:36YES. I just did this last week and it was eye-opening. I had Solana, Polygon, AVAX, BNB, and DOT - all dancing to the same tune. I sold two and added USDT. Now I feel like I have a real portfolio, not just a bunch of lottery tickets. Also, the heatmap made me laugh. It looked like a bad rave. 😅
Michelle Mitchell
March 6, 2026 AT 02:22correlation? huh. i think you mean like… when everything crashes at once? yeah that’s real. i had 12 coins and lost 80%. i thought i was diversified but turns out i was just holding 12 versions of the same mistake. now i only have btc and usdc. simpler. safer. less stress. ps: i spelled correlation wrong but you know what i mean lol
christopher luke
March 6, 2026 AT 21:37This is exactly what I needed. I’ve been holding Doge, Shiba, and Pepe like they were investments. Turns out they’re just emotional attachments. Ran the numbers - all above 0.9 with BTC. I sold them. Bought a little Bitcoin. And now I feel like I actually own something. Not just vibes. Thanks for the clarity. 🙏
Mary Scott
March 8, 2026 AT 18:58They’re lying. Correlation is a Fed tool. The real reason everything moves together is because the same hedge funds control 80% of the market. They pump one coin, then dump it into the others. You think you’re diversified? You’re just a puppet. Check the whale wallets. Look at the order flow. This isn’t math - it’s manipulation.
Shannon Holliday
March 10, 2026 AT 18:30I love this. I used to think altcoins were my secret weapon. Now I know they were just noise. I made a heatmap with my coins - it looked like a firework explosion of red. I sold three, kept BTC and ETH, added a stablecoin. Now I sleep. Also, I used the CoinGecko export. Took 5 mins. You can too. 💪✨
Jeremy buttoncollector
March 11, 2026 AT 22:47The DCC-GARCH model is the only valid framework for capturing time-varying conditional correlations in non-stationary crypto return series. Pearson’s coefficient is a naive parametric assumption that fails to account for leptokurtic distributions and volatility clustering. You need a multivariate EGARCH framework with Bayesian priors to properly estimate systemic co-movement. Otherwise, you’re just fitting a line to a hurricane.