When a large company goes bankrupt, many others follow its steps.

The term known as financial contagion initially emerged in the TradFi sector. Yet, crypto contagion works in a very similar way, with the FTX crash being the best example.

Crypto contagion did not end in 2023. The 2022 cycle of exchange collapses gave way to a new phase: DeFi cross-chain exploits, AI-driven equity selloffs spilling into crypto, and record-breaking scam activity. In April 2026, a single $292 million DeFi exploit triggered cascading losses across multiple platforms. Understanding how contagion spreads today looks very different from the FTX playbook.

What is Crypto Contagion?

Crypto contagion refers to the potential for a significant decline in the value of one cryptocurrency to have a negative impact on the value of other cryptocurrencies.

This can happen when a large number of investors in one cryptocurrency sell off their holdings, causing a decline in value that in turn causes other investors in other cryptocurrencies to also sell off their holdings.

The result can be a widespread decline in the value of many cryptocurrencies.

The word “contagion” has been initially adopted by the economic sector from epidemiology. This subsection of medical science focuses on studying and analyzing how diseases spread across populations.

Financial contagion works in a way that is very similar to such diseases. It refers to the spread of an economic crisis within a specific region or market.

For the first time, this term was used in 1997 when the collapse of a Thai currency baht resulted in a large regional crisis. All countries from East Asia to Russia were affected then.

How Crypto Contagion Spreads

Crypto contagion works the same way as contagion in traditional financial markets. A sharp decline in a large-cap token triggers panic selling across correlated assets, creating a domino effect that can spread across the market within hours. Projects with weaker fundamentals absorb the most damage; those with the weakest simply fail entirely.

The reason crypto contagion moves so fast is structural. In the early years of the blockchain industry, platforms operated largely in isolation. That changed as centralized exchanges and cross-chain infrastructure became deeply interconnected. Four mechanisms explain how that interconnectedness turns a localized event into a market-wide crisis.

1. Price and Liquidity Spillover

Centralized exchanges are the primary venues for price discovery in crypto. When a significant price movement or negative event occurs on one exchange, interconnected trading pairs and arbitrage opportunities carry the impact to others almost immediately. A decline in liquidity on one venue suppresses confidence across the market, accelerating the sell-off.

2. Dependency on Key Exchanges

Many tokens depend on a small number of major exchanges for the majority of their liquidity and volume. When a key exchange encounters a security breach, regulatory action, or technical failure, it disrupts trading broadly and triggers panic among investors who cannot exit positions. That loss of confidence propagates outward to other venues.

3. Systemic Risk

When a large exchange becomes insolvent or faces financial distress, the consequences extend beyond its own users. Counterparty exposure, frozen withdrawal queues, and the collapse of confidence in custodial models can trigger chain reactions across the ecosystem. The FTX collapse in 2022 remains the clearest recent example of how a single exchange failure can erode trust across the entire market.

4. Market Manipulation

Interconnected exchanges make manipulation easier to propagate. Wash trading or spoofing on one venue creates false price signals that flow to others through arbitrage and trading algorithms. Traders reacting to those signals amplify the effect, spreading distorted price action across markets that had no direct exposure to the original manipulation.

The two original sections are merged under a single H2. The four numbered mechanisms are preserved as bold subsections for scannability. The redundant framing between the two original sections is removed. The merged section ends cleanly so a "New Contagion Channels: What 2025-2026 Changed" section can follow immediately to connect historical mechanics to current evidence.

New Contagion Channels: What 2025-2026 Changed

The 2022 wave of contagion ran through centralized exchanges and overleveraged hedge funds. The 2025-2026 wave runs through three different channels.

1. Crypto-Equity Correlation

For years, the case for holding crypto rested partly on low correlation with traditional markets. That case is weaker now. Since 2025, Bitcoin and major altcoins have repeatedly moved in lockstep with US equities during risk-off sessions. CME Group's 2026 economic research shows the correlation is especially pronounced during tech and AI-driven selloffs, when institutional investors sell crypto alongside growth stocks to meet margin calls or reduce overall risk exposure. The diversification benefit that crypto once offered largely disappears on the days investors need it most.

2. Fraud and Scam Contagion

On-chain crime is no longer just a theft problem. It is a contagion mechanism. Chainalysis data for 2025 estimates at least $14 billion in scam-related on-chain activity. Average individual scam payments jumped from $782 in 2024 to $2,764 in 2025, a 253% increase driven by AI-powered impersonation and phishing campaigns. When large-scale fraud events become public, they trigger the same panic-selling dynamic as exchange collapses. Trust breaks down fast in crypto markets.

3. Memecoin Tail Risk

A 2026 peer-reviewed study published in ScienceDirect found that memecoin activity raises market-wide tail risk and erodes the price stability of established crypto assets. The mechanism is straightforward: memecoins attract speculative capital that rotates rapidly, amplifying volatility across the broader market when the hype cycle reverses. The DOGE crash of 2021 was an early example. The pattern has repeated with each memecoin cycle since.

Examples Of Crypto Contagion

Okay, so the need-to-know concerning crypto contagion is clear. Now let’s review some examples of how this process works in practice.

Terra (UST) Collapse

The collapse of UST in May 2022 was driven primarily by a failure in its algorithmic peg mechanism and coordinated sell pressure that drained the Luna Foundation Guard's Bitcoin reserves.

Terra did have exposure to the Wormhole bridge exploit earlier that year, but the UST depeg itself was a liquidity spiral: as UST fell below $1, the mint-and-burn mechanism flooded the market with LUNA, destroying both tokens simultaneously. The knock-on effects hit every platform holding UST.

Algorithmic stablecoins DEI and Neutrino USD (USDN) collapsed in sympathy. Large CEXes and crypto funds holding UST took losses that, according to KPMG analysis, contributed to Alameda Research's trading losses and ultimately to FTX's insolvency.

3 Arrows Capital (3AC)

Three Arrows Capital was a Singapore-based crypto hedge fund founded in 2012 by crypto enthusiasts Kyle Davies and Su Zhu.

The fund operated mostly with borrowed funds. It made profits on successful trading operations, including those with leverage on long positions.

The scheme worked fine for many years. Yet, Terra’s crash put an end to its successful business strategy.

3AC had large debts from Babel Finance, the company that went bankrupt right after Terra’s collapse. Its other key lenders BlockFi, Voyager Digital, and Celsius went bankrupt the same year adding troubles to the company.

FTX Collapse

Cryptocurrency exchange FTX used to be one of the top centralized exchanges beloved by many users worldwide. Yet, neither the support of the US government nor the large user base worldwide prevented it from crashing.

In November 2022, Coindesk published a report stating that a large portion of the exchange’s native token FTT belonged to its subsidiary, Alameda Research.

After the news came out, FTX faced a liquidity crisis as many users fled from an unreliable vendor. The leading crypto exchange Binance publicly promised to support FTX by purchasing a huge number of FTT but canceled its decision the next day.

In a few days more, the exchange reported an alleged hack that resulted in a loss of $477 million worth of crypto. Soon after that, FTX founder Sam Bankman-Fried resigned from his post, the FTX exchange suspended withdrawals, and the company filed for bankruptcy.

The consequences of the FTX fallout came forward soon. A DeFi platform BlockFi and a bunch of smaller startups that had exposure to FTX by investing in FTT went bankrupt, too.

2026: The Kelp DAO / LayerZero Exploit

In April 2026, an attacker drained $292 million from Kelp DAO through a vulnerability in the LayerZero cross-chain messaging protocol. What made this event a textbook contagion case was the speed of the secondary damage. Aave, which had no direct exposure to the exploit, saw its total value locked (TVL) drop sharply as liquidity providers pulled funds preemptively. Platforms across the DeFi ecosystem froze withdrawals or paused smart contracts within hours.

This is what cross-chain contagion looks like in practice. The original hack hit one protocol. The panic spread through every protocol that shared infrastructure, liquidity pools, or user overlap. Bloomberg described it as one of the largest DeFi contagion events of 2026.

March 2026: The Shadow Contagion Surge

Before the Kelp DAO event, March 2026 saw a cluster of smaller hacks totaling $52 million across multiple DeFi protocols. Industry analysts coined the term 'shadow contagion' to describe how these incidents, individually too small to make headlines, collectively eroded confidence across the sector. Phemex reported that the cumulative trust damage from these smaller exploits amplified the severity of the April event.

What Contagion Risk Looks Like in 2026

Crypto contagion did not peak in 2022. It evolved. The centralized exchange failures of that era exposed one set of vulnerabilities. The DeFi exploits and macro-driven selloffs of 2025-2026 exposed a different set.

The OECD's Asia Capital Markets Report 2026 documents growing interconnectedness between crypto and traditional financial markets, noting that the regulatory and risk management frameworks in most jurisdictions have not kept pace. That gap is where contagion risk lives.

Academic research published in 2026 confirms what market participants already experienced: crypto assets crash together more reliably than they rally together. A study analyzing dynamic conditional tail dependence in crypto markets found that downside co-movement is significantly stronger than upside co-movement. In plain terms, diversification within crypto works better in bull markets than in the bear phases where you actually need it.

None of this means crypto is finished. It means the risk model has to be honest. Treat crypto exposure with position sizing that reflects genuine volatility, audit your protocol dependencies, and watch cross-asset correlations during macro stress events. The technology is durable. Individual positions are not automatically safe just because the technology survives.

Which Crypto Sectors Are Most Vulnerable to Contagion?

Not all parts of the crypto market carry equal contagion risk. Here is how the major sectors compare.

👉 Quick takeaway: DeFi protocols and algorithmic stablecoins spread contagion the fastest — within hours — due to on-chain interconnectivity and automated liquidation cascades. CEX contagion moves over days as counterparty exposure becomes clear. Layer-1 ecosystems are exposed primarily through bridge infrastructure, as the Wormhole exploit demonstrated on Solana.

Sector	Primary Contagion Risk	Speed of Spread	2025-2026 Example
DeFi Protocols	Cross-chain exploits, smart contract failures	🔴 Hours	Kelp DAO / $292M exploit, Aave TVL drop
Centralized Exchanges	Insolvency, liquidity crises, regulatory action	⚠️ Days	FTX collapse (2022), ongoing regulatory scrutiny
Algorithmic Stablecoins	Peg failure, liquidity spirals	🔴 Hours to days 🔴 Fastest structural collapse risk	UST/LUNA collapse (2022)
Memecoins	Hype cycle reversal, speculative rotation	🔴 Hours	DOGE crash (2021), recurring memecoin cycles
Layer-1 Ecosystems	Dependency on key bridge infrastructure	⚠️ Days	Wormhole exploit impact on Solana ecosystem

How to Read This Table

DeFi protocols and algorithmic stablecoins carry the fastest contagion spread because they operate autonomously. A smart contract exploit or peg failure can cascade across dozens of connected protocols before any human intervention is possible. Centralized exchanges spread contagion more slowly because manual processes (withdrawal freezes, regulatory filings, PR responses) introduce friction. That friction buys time but does not prevent the damage.

Memecoins are a special case. Their contagion is less about structural failure and more about sentiment: when speculative capital flees memecoins, it often exits crypto broadly rather than rotating into blue-chip assets.

How to Protect Your Portfolio During Crypto Contagion

Understanding contagion is useful. Knowing what to do when it starts is more useful. These steps are not guarantees. They are risk-reduction moves that reduce your exposure to the fastest-moving contagion vectors.

Step 1: Audit Your DeFi Exposure

List every protocol where you hold funds. For each one, identify whether it uses cross-chain bridges. Bridge-dependent protocols carry the highest contagion risk. The Kelp DAO/LayerZero exploit in April 2026 spread to platforms with no direct involvement because they shared bridge infrastructure.

Step 2: Check Exchange Concentration

If more than 50% of your holdings sit on a single centralized exchange, you are carrying unnecessary concentration risk. FTX held funds for millions of users who had no warning before withdrawals were frozen. Spreading holdings across two or three exchanges, or moving assets to self-custody, reduces this exposure.

Step 3: Treat Algorithmic Stablecoins Differently

Algorithmic stablecoins (those not backed 1:1 by fiat or collateral) have a failure mode that fiat-backed stablecoins do not. UST's collapse to zero happened in under 72 hours. If you hold algorithmic stablecoins, size the position as you would a high-risk speculative asset, not as a cash equivalent.

Step 4: Watch Crypto-Equity Correlation

When US equity markets drop sharply on macro news (rate decisions, tech earnings, geopolitical shocks), expect crypto to follow. CME Group's 2026 research confirms this pattern has intensified since 2025. During risk-off periods, the traditional argument that crypto provides diversification does not hold.

Step 5: Be Skeptical of Scam Pressure

The average crypto scam payment in 2025 was $2,764, up from $782 the year before. AI-powered impersonation scams are now sophisticated enough to mimic exchange support teams and project founders. Treat any unsolicited communication requesting wallet access or emergency fund transfers as a contagion risk in itself.

Frequently Asked Questions About Crypto Contagion

Is crypto contagion the same as traditional financial contagion?

The mechanism is similar: distress in one asset or institution spreads to others through shared exposures, panic selling, and loss of confidence. Crypto contagion moves faster because markets run 24/7, there are no circuit breakers, and smart contract failures can propagate automatically without human intervention.

Are crypto assets still a diversification hedge in 2026?

Less so than they used to be. CME Group's 2026 research shows that during risk-off sessions driven by tech and AI stock selloffs, Bitcoin and major altcoins move in the same direction as US equities. The correlation is not permanent, but it spikes exactly when diversification would matter most.

Which DeFi sectors are most at risk from contagion?

Protocols that rely on cross-chain bridges carry the highest acute risk. The April 2026 Kelp DAO/LayerZero exploit demonstrated how a single bridge vulnerability can drain liquidity from protocols that had no direct exposure to the original attack.

How do scams contribute to contagion?

Large-scale fraud events erode market confidence in the same way exchange collapses do. When scam losses become public, retail investors pull back broadly rather than just from the affected project. Chainalysis data shows 2025 scam activity reached at least $14 billion, with AI-enabled impersonation scams driving a 253% increase in average payment size.

Do memecoins cause real systemic risk?

Peer-reviewed research published in 2026 says yes. Memecoin cycles attract and rapidly shed speculative capital, which amplifies volatility across the broader market. When a memecoin hype cycle collapses, the selloff often extends to Bitcoin and Ethereum as investors exit crypto positions entirely.

What Is Crypto Contagion? How It Spreads and Which Sectors Are Most at Risk