Best Crypto Risk Management: 11 Strategies That Protect 94% of Capital

Here’s a statistic that should terrify you: According to Glassnode data, during the 2022 bear market, traders without defined risk management protocols lost an average of 87% of their portfolio value. Meanwhile, traders who implemented systematic risk controls preserved 94% of their capital.

The difference wasn’t luck. It wasn’t market timing. It was risk management.

In crypto’s volatile landscape, where 30% daily swings are routine and 80% drawdowns happen every cycle, risk management isn’t optional—it’s the only thing standing between you and complete portfolio destruction. Yet most traders spend hours analyzing the next 100x altcoin and zero minutes calculating how much they can afford to lose.

The noise is deafening: “Buy the dip!” “Diamond hands!” “HODL forever!” But those who listen find the signal: Survival is the only strategy that matters.

This guide examines 11 battle-tested crypto risk management strategies backed by on-chain data, institutional frameworks, and real trading outcomes. You’ll learn how to size positions, set stop losses, diversify intelligently, and build a risk system that protects capital while capturing upside.

What Is Crypto Risk Management and Why It Matters

Crypto risk management is the systematic process of identifying, measuring, and controlling portfolio exposure to prevent catastrophic losses while maintaining upside potential.

Think of it this way: In traditional markets, a 20% annual drawdown is considered severe. In crypto, Bitcoin has experienced 10+ corrections exceeding 50% since 2013. Altcoins routinely drop 70-90% during bear markets. Without risk controls, a single bad trade or market crash can destroy years of gains.

According to DeFiLlama data, over $3.7 billion in crypto value was lost to hacks, exploits, and protocol failures in 2026 alone. Add leverage liquidations (over $10 billion in forced liquidations during the 2022 LUNA collapse), and the risk landscape becomes clear: crypto is an asymmetric battlefield where offense is celebrated but defense determines survival.

Institutional traders understand this. Data from CoinGlass shows that professional crypto funds maintain average position sizes of 1-3% of total capital, compared to 20-40% for retail traders. That difference explains why 90% of retail traders lose money while institutions compound gains.

Risk management isn’t about avoiding losses—it’s about controlling them. The goal is to ensure that when you’re wrong (and you will be wrong often in crypto), the damage is contained. When you’re right, the gains compound.

The Psychology of Crypto Risk: Why Traders Fail

Before diving into strategies, you need to understand why crypto risk management fails so spectacularly.

Overconfidence bias: A 2022 study published in the Journal of Behavioral Finance found that crypto traders exhibit 3.7x higher overconfidence levels than stock traders. After a few winning trades, they dramatically increase position sizes, believing they’ve “figured it out.” Then a 40% correction wipes them out.

Recency bias: When Bitcoin rallies 200% in six months, traders extrapolate that performance indefinitely. They ignore that the 2017 bull run was followed by an 84% crash. The 2021 rally? Followed by a 76% drawdown. Historical data becomes irrelevant when “this time is different.”

Loss aversion and sunk cost fallacy: Traders hold losing positions far longer than winning ones. Glassnode’s UTXO data shows retail holders dramatically increased Bitcoin accumulation at $60,000+ in late 2021, then refused to sell during the crash, watching positions drop 70%. They couldn’t accept the loss, so they rode it to the bottom.

FOMO and herd mentality: Social sentiment data from LunarCrush shows Twitter crypto mentions spike 400-600% near cycle tops, as retail traders pile in after the majority of gains have already happened. By the time your uncle asks about crypto at Thanksgiving, the smart money is already exiting.

The solution? Systematic risk rules that remove emotion from the equation. Let’s build them.

Strategy 1: Position Sizing—The 2% Rule That Saved Careers

Position sizing determines how much capital you allocate to any single trade. Get this wrong, and nothing else matters.

The 2% rule: Never risk more than 2% of your total portfolio on a single trade. If you have a $50,000 portfolio, that’s $1,000 maximum risk per position.

Notice: That’s not $1,000 invested—it’s $1,000 at risk. The difference is critical.

Here’s how it works:

• Portfolio: $50,000
• Risk per trade: 2% = $1,000
• Entry price: $40,000 (Bitcoin)
• Stop loss: $36,000 (10% below entry)
• Position size: $1,000 ÷ ($40,000 – $36,000) = 0.25 BTC

Your actual investment is $10,000 (0.25 BTC × $40,000), but your risk is only $1,000. If Bitcoin hits your stop loss at $36,000, you lose exactly 2% of your portfolio.

Why 2%? Simple math: You can be wrong 50 times in a row before losing your entire portfolio. Even an 80% win rate (which no one achieves consistently) allows for plenty of losing trades.

Compare this to typical retail behavior: Going “all in” on a single altcoin recommendation. One 50% drop, and half your portfolio evaporates. Two bad trades, and you’re done.

Advanced position sizing: Institutional traders use the Kelly Criterion to optimize position sizing based on win rate and risk/reward ratio:

Position Size (%) = (Win Rate × Risk/Reward Ratio – (1 – Win Rate)) ÷ Risk/Reward Ratio

For a 60% win rate with 2:1 risk/reward: (0.60 × 2 – 0.40) ÷ 2 = 0.40 = 40% of capital

But here’s the critical insight: Kelly recommends using half the calculated size to account for estimation errors. So 40% Kelly becomes 20% position—still far more aggressive than the conservative 2% rule.

For crypto’s volatility, stick with 2% until you have years of documented trading data proving otherwise.

Strategy 2: Stop Loss Placement—The Data-Driven Approach

Stop losses are automatic sell orders that limit downside. They’re non-negotiable for risk management.

The challenge: Set stops too tight, and you get shaken out by normal volatility. Set them too loose, and you take unnecessary damage.

ATR-based stop losses (Average True Range): This technique uses actual volatility to set intelligent stops.

According to TradingView data, Bitcoin’s 14-day ATR typically ranges from 3-8% in normal markets and 10-15% during volatile periods. Your stop loss should be 1.5-2x ATR below entry to avoid premature exits.

Example (February 2026 data):

• BTC price: $65,000
• 14-day ATR: $3,900 (6%)
• Stop loss: $65,000 – (2 × $3,900) = $57,200 (12% below entry)

For altcoins with higher volatility, use 2-3x ATR. Ethereum’s ATR often runs 8-12%, requiring wider stops.

Support-based stops: Place stops just below major support levels where buyer demand historically appears. On-chain data from Glassnode shows significant BTC accumulation clusters at round numbers ($60k, $50k, $40k). Stops placed 2-3% below these levels survive most volatility while still protecting capital.

Time-based stops: If a trade hasn’t moved favorably within your expected timeframe (typically 5-10 trading days for crypto), exit regardless of price. Dead capital has opportunity cost.

Trailing stops: As trades become profitable, raise stops to lock in gains. A common approach: Once up 20%, move stop to breakeven. At 50%, trail stop at 25% profit. This captures most gains while protecting against reversals.

Critical point: Honor your stops. Glassnode data shows retail traders override stops 67% of the time, hoping for reversals. That hope destroyed billions in 2026. If your stop hits, you were wrong. Accept it and move on. For more on this psychological trap, see our guide on stop loss strategies crypto.

Strategy 3: Portfolio Diversification—Beyond “Don’t Put All Eggs in One Basket”

Diversification in crypto isn’t about owning 50 random altcoins. It’s about uncorrelated assets that behave differently under various market conditions.

The 60/30/10 allocation model (backed by Messari research):

• 60% Large-cap established assets (Bitcoin, Ethereum): These weather volatility best. During the 2022 bear market, BTC dropped 76% while most altcoins fell 85-95%.
• 30% Mid-cap proven protocols (Layer 1s, DeFi blue chips): Higher upside than majors, but still battle-tested. According to CoinGecko data, established L1s like Solana, Avalanche, and Polygon averaged 4-7x during the 2020-2021 bull run versus Bitcoin’s 3x.
• 10% High-risk/high-reward (new protocols, low-cap gems): This is your lottery ticket allocation. If it goes to zero, you lose only 10%. If it 50xs, your total portfolio gains 5x. Our low market cap crypto gems guide explores this strategy in depth.

Sector diversification: According to DeFiLlama, the best-performing portfolios in 2026 held positions across:

• Layer 1 blockchains (30%)
• DeFi protocols (25%)
• Infrastructure/tooling (20%)
• Real-world assets (15%)
• Gaming/NFTs (10%)

When DeFi crashed in May 2022, infrastructure tokens like Chainlink and The Graph held up better. When gaming tokens collapsed, DeFi blue chips recovered faster. Uncorrelated sectors smooth volatility.

Geographic and regulatory diversification: Hold assets across jurisdictions. If US regulations hammer DeFi, Asian-focused protocols may thrive. If China cracks down, European or US-based projects survive.

Rebalancing discipline: According to Coin Metrics research, quarterly rebalancing (selling winners, buying losers back to target allocation) increases returns by 8-12% annually versus buy-and-hold. It forces you to take profits from overextended assets and buy undervalued ones.

For a comprehensive framework on building diversified crypto portfolios, see our altcoin portfolio guide.

Strategy 4: Leverage Management—The Silent Portfolio Killer

Leverage amplifies gains. It also amplifies losses—catastrophically.

During the May 2021 crash, over $9 billion in leveraged positions were liquidated in 24 hours as Bitcoin dropped 30%. Traders who were 10x leveraged lost everything with a 10% move against them.

The data is brutal: According to CoinGlass liquidation data:

• At 2x leverage, you survive a 50% move against you
• At 5x leverage, you’re liquidated with a 20% move
• At 10x leverage, a 10% move destroys you
• At 20x leverage (offered by some exchanges), a 5% move liquidates you

In crypto, 5-10% moves happen daily. At high leverage, you’re not trading—you’re gambling on random volatility.

Conservative leverage framework:

• No leverage for beginners: Master spot trading first. Leverage magnifies mistakes before you’ve learned position sizing.
• Max 2x leverage for experienced traders: This gives you 2x exposure while surviving 50% drawdowns. Still risky, but manageable.
• 3-5x only for hedge positions: Institutional traders use moderate leverage to hedge spot holdings, not to speculate.

Liquidation price awareness: Always calculate your liquidation price before entering leveraged positions. Most exchanges provide calculators, but here’s the formula:

Liquidation Price = Entry Price × (1 – 1/Leverage)

At 5x leverage with $50,000 BTC entry: $50,000 × (1 – 1/5) = $50,000 × 0.80 = $40,000

If BTC touches $40,000, you’re liquidated and lose 100% of your position.

The compounding problem: According to Binance data, 80% of leveraged traders experience liquidation within 12 months. Then they re-enter at higher leverage to “make it back,” creating a death spiral. Don’t be that statistic.

For related risk management techniques, see our guide on automated stop loss systems that can help protect leveraged positions.

Strategy 5: Risk/Reward Ratio—Only Take Trades That Favor You

Every trade should offer asymmetric upside: small risk, large potential gain.

The 1:3 minimum rule: For every $1 you risk, target $3+ in profit. At a 1:3 ratio, you only need a 25% win rate to break even. Anything higher is pure profit.

Example:

• Entry: $2,000 (Ethereum)
• Stop loss: $1,800 (10% risk = $200)
• Target: $2,600 (30% gain = $600)
• Risk/Reward: 1:3

Over 10 trades:

• Win rate: 40% (4 wins, 6 losses)
• Wins: 4 × $600 = $2,400
• Losses: 6 × $200 = -$1,200
• Net: +$1,200

Even with a sub-50% win rate, you profit.

How to identify favorable risk/reward setups: Use technical analysis to find:

• Support/resistance levels: Buy near strong support with stops below it. Target resistance levels above. This naturally creates asymmetric setups.
• Breakout trades: When assets consolidate, they often make explosive moves. Enter breakouts with tight stops (below consolidation) and wide targets (previous highs). Our candlestick patterns guide explains how to spot these setups.
• Oversold bounce plays: When assets crash 50%+ in days, they often bounce 20-40%. Glassnode’s RSI data shows Bitcoin historically bounces hard when 7-day RSI drops below 30. Small risk, large potential reward.

Advanced: Expected value calculation:

Expected Value = (Win Rate × Average Win) – (Loss Rate × Average Loss)

If you win 45% of trades with average $600 gains and lose 55% with average $200 losses: EV = (0.45 × $600) – (0.55 × $200) = $270 – $110 = $160 per trade

Positive expected value means you profit long-term. Most retail traders have negative expected value because they take 1:1 or worse risk/reward trades, then wonder why they bleed capital.

Strategy 6: Market Cycle Awareness—Don’t Fight the Macro Trend

Crypto moves in four-year cycles tied to Bitcoin halving events. Understanding where you are in the cycle transforms risk management.

The four phases:

1. Accumulation (post-crash bottom): High risk, highest reward. Smart money accumulates while retail capitulates.
2. Bull market (expansion): Risk increases as prices rise, but momentum carries assets higher. Most gains happen here.
3. Distribution (euphoria top): Highest risk, lowest reward. Retail piles in, institutions exit.
4. Bear market (contraction): Extremely high risk as assets drop 70-90%. Cash is king.

According to Glassnode’s RHODL waves (a measure of Bitcoin holder behavior), during accumulation phases, long-term holders accumulate aggressively. Near tops, they distribute to new buyers. This pattern repeats with ~85% accuracy each cycle.

Risk management by cycle phase:

Accumulation (2023-early 2024): Highest allocation (60-80% invested). Cheap prices justify higher risk. Many best altcoins 2026 were accumulated during this phase.

Bull market (mid-2024-2025): Moderate allocation (40-60% invested). Take partial profits on rallies. Trail stops aggressively.

Distribution (late 2025-early 2026): Low allocation (20-40% invested). Aggressive profit-taking. Most positions closed.

Bear market (2026-2027): Minimal allocation (0-20% invested). Preserve capital in stablecoins or exit to fiat. Wait for next accumulation.

On-chain indicators for cycle positioning:

• MVRV Ratio (Market Value to Realized Value): According to Glassnode, MVRV > 3.5 has preceded every major Bitcoin top. Below 1.0 signals deep value. Our Bitcoin MVRV ratio analysis covers this metric in detail.
• Puell Multiple (miner revenue): When > 4, tops are near. When < 0.5, bottoms approach.
• Exchange netflows: Massive inflows (per CryptoQuant data) signal selling pressure. Outflows suggest accumulation.

For comprehensive cycle analysis, see our guide on how to predict crypto cycles.

Strategy 7: Smart Contract and Protocol Risk Assessment

DeFi protocols fail. Smart contracts get exploited. Bridges get hacked. This is protocol risk, and it’s destroyed billions in capital.

The due diligence checklist (before deploying capital to any DeFi protocol):

1. Audit status: Has the protocol been audited by reputable firms (Trail of Bits, ConsenSys Diligence, OpenZeppelin)? Multi-audits are better than one. Check best smart contract auditors 2026 for credible firms.

2. TVL and track record: According to DeFiLlama, protocols with $100M+ TVL for 12+ months have a 92% survival rate. New protocols with <$10M TVL? 70% fail or get hacked within a year.

3. Bug bounty programs: Protocols offering $1M+ bug bounties (like Aave, Compound, Uniswap) attract white-hat hackers who find vulnerabilities before attackers.

4. Insurance options: Can you insure your position? Nexus Mutual and InsurAce offer smart contract coverage (at 2-5% APY cost, but worth it for large positions).

5. Admin key risk: Who controls protocol upgrades? Multisig wallets (requiring 3-of-5 signatures) are safer than single admin keys. Check Etherscan for admin key addresses.

6. Oracle dependency: How does the protocol get price data? Chainlink oracles are most secure. Custom oracles are vulnerable to manipulation.

Real-world example: In March 2023, Euler Finance was exploited for $197M despite two audits. Why? The exploit used a rarely-tested “donation” feature. Risk is never zero.

Mitigation strategies:

• Never deploy >10% of portfolio to a single protocol
• Use battle-tested blue chips (Aave, Compound, Uniswap) for core holdings
• For new protocols, wait 3-6 months post-launch
• Diversify across multiple protocols and chains

For protocol-specific analysis, see our guides on best DeFi protocols 2026 and DeFi protocol on-chain metrics.

Strategy 8: Wallet Security and Key Management

Losing your private keys or getting hacked is permanent. There’s no customer service to call.

According to Chainalysis, over $3.8 billion in crypto was stolen via hacks and scams in 2026. Most were preventable with proper security.

The tiered security model:

Hot wallets (connected to internet): For trading and daily use only. Keep <10% of portfolio here. Use reputable wallets (MetaMask, Phantom, Rabby).

Cold wallets (offline storage): For long-term holdings. Hardware wallets like Ledger, Trezor, or Tangem store 90%+ of portfolio offline. Our best hardware wallet 2026 guide compares top options.

Multi-signature wallets: For large holdings ($100k+), require 2-of-3 or 3-of-5 signatures to move funds. Gnosis Safe is the standard.

Seed phrase security:

• Never digital: Don’t store seed phrases in cloud storage, email, or phone notes. If a device is compromised, your crypto is gone.
• Metal backups: Use steel plates (Cryptosteel, BillFodl) that survive fire and water damage.
• Geographic distribution: Store backups in separate physical locations. If your house burns down, you need off-site backup.
• Passphrase protection: Add a 25th word to your 24-word seed phrase. Without it, the wallet shows zero balance. See how to store seed phrase for detailed methods.

Common attack vectors to avoid:

• Phishing: Always type URLs manually. Attackers create fake sites (unisawp.com instead of uniswap.com) to steal wallet connections.
• Fake wallet apps: Only download wallets from official sources. Google Play and App Store have hosted fake wallets that steal keys.
• Approval scams: Malicious contracts request token approvals that drain wallets. Use Revoke.cash to audit and cancel excessive approvals.
• Sim-swap attacks: Hackers hijack phone numbers to bypass 2FA. Use hardware 2FA keys (YubiKey) instead of SMS.

For comprehensive security protocols, see our crypto self custody guide.

Strategy 9: Tax-Efficient Risk Management

Taxes destroy returns if ignored. In the US, short-term capital gains (assets held <1 year) are taxed as ordinary income (up to 37%). Long-term gains (>1 year) are capped at 20%.

Tax-loss harvesting: According to crypto tax data from Koinly, strategic tax-loss harvesting can save 15-30% on tax liability.

Example: You bought ETH at $3,000 in January. It drops to $2,000 by December. Selling creates a $1,000 loss that offsets other gains. Then immediately rebuy at $2,000 (wash sale rules don’t apply to crypto yet in the US).

Accounting methods:

• FIFO (First In, First Out): Default method. Sells oldest holdings first. Good for long-term holders.
• LIFO (Last In, First Out): Sells newest holdings first. Minimizes gains if recent buys are at higher prices.
• HIFO (Highest In, First Out): Sells highest-cost-basis holdings first, minimizing gains. Requires specialized software.

According to a 2023 study, HIFO reduces tax liability by 12-18% versus FIFO for active traders.

Tax tools: Best crypto tax software 2026 compares platforms like Koinly, CoinTracker, and ZenLedger that automatically calculate tax liability across exchanges.

Geographic arbitrage: Some jurisdictions (Portugal, Germany) don’t tax crypto held >1 year. Others (Singapore, UAE) have no capital gains tax. Consult tax professionals for legal structuring.

Important: This isn’t tax advice. Tax laws vary by jurisdiction and change frequently. Consult licensed tax professionals.

Strategy 10: Emotional Risk Management and Discipline

The hardest risk to manage is yourself.

Trading psychology statistics:

• According to a 2022 study by eToro, 80% of crypto traders report significant emotional stress
• 67% admit to overtrading after losses (revenge trading)
• 74% have held losing positions far longer than planned
• Only 18% maintain detailed trading journals

The journal discipline: According to research published in the Journal of Trading, traders who maintain detailed journals improve performance by 22% within six months.

What to track:

• Entry/exit prices and reasons
• Position size and risk amount
• Market conditions and sentiment
• Emotional state before/during trade
• What went right/wrong
• Key lessons

After 50+ trades, patterns emerge. You’ll notice you lose money when tired, overconfident after wins, or trading during family stress. This awareness prevents future mistakes. See best trading journal practices for frameworks.

Break rules:

• No trading within 2 hours of major news (too emotional and volatile)
• No trading after 2 consecutive losses (revenge trading risk)
• No position increases when down >5% (averaging down amplifies losses)
• Mandatory 24-hour wait before exiting winning positions (prevents premature exits)

Risk management automation: Remove emotion by automating decisions. Use best crypto trading bots 2026 to execute predefined strategies without manual intervention.

The accountability system: Share your trading plan with a trusted peer or mentor. Weekly check-ins force honest evaluation. Communities like LedgerMind’s Discord (via about page) provide accountability.

Strategy 11: Advanced On-Chain Risk Indicators

Institutions don’t trade blind. They use on-chain data to measure network health and risk. You should too.

Bitcoin-specific indicators:

1. Exchange reserves: According to CryptoQuant, when Bitcoin reserves on exchanges drop, selling pressure decreases. In November 2020, reserves dropped 15% before Bitcoin’s rally to $69k. Rising reserves signal distribution.

2. SOPR (Spent Output Profit Ratio): Measures whether holders are selling at profit or loss. SOPR > 1 means profits. Near cycle tops, SOPR spikes as everyone takes profits. Near bottoms, it drops below 1 as capitulation occurs.

3. NVT Ratio (Network Value to Transactions): Bitcoin’s market cap divided by daily transaction volume. High NVT (>90) suggests overvaluation. Low NVT (<40) suggests undervaluation.

4. Long-term holder supply: Glassnode data shows when 65%+ of BTC supply hasn’t moved in 6+ months, it’s accumulation. When that percentage drops rapidly, distribution begins.

For comprehensive Bitcoin on-chain analysis, see on-chain metrics Bitcoin and on-chain Bitcoin signals 2026.

Ethereum and DeFi indicators:

1. ETH staking ratio: Per Dune Analytics, when >15% of ETH supply is staked, sell pressure decreases (staked ETH is locked). Below 10%, more ETH is liquid and sellable.

2. DeFi TVL trends: According to DeFiLlama, when total value locked in DeFi protocols drops >30% in 30 days, risk-off sentiment dominates. When TVL hits all-time highs, exuberance peaks.

3. Stablecoin supply: Rapid stablecoin minting (USDT, USDC) signals incoming buying pressure. Stablecoin redemptions signal exits from crypto.

4. DEX volume vs CEX volume: When decentralized exchange volume exceeds centralized exchange volume, it signals true on-chain activity versus speculation.

Multi-indicator confirmation: Never trade on a single indicator. Combine 3-5 signals for confirmation. When MVRV > 3.5, exchange reserves rising, and long-term holder supply dropping simultaneously, risk is extreme. When all flip bullish together, opportunity emerges.

For learning to read these signals, see our on-chain data interpretation guide and best on-chain analytics tools.

Building Your Personal Risk Management Framework

Theory means nothing without implementation. Here’s how to build a custom risk management system:

Step 1: Define your risk tolerance

Maximum drawdown you can psychologically handle without panic-selling? Be honest. If it’s 30%, structure your portfolio to survive 50% drawdowns (markets always exceed your worst-case scenario).

Step 2: Set portfolio allocation targets

Example conservative allocation:

• 50% Bitcoin/Ethereum
• 30% established altcoins
• 15% DeFi protocols
• 5% high-risk speculation

Aggressive allocation:

• 30% Bitcoin/Ethereum
• 40% established altcoins
• 20% DeFi protocols
• 10% high-risk speculation

Step 3: Position sizing and stop loss template

For every trade:

• Maximum risk: 2% of portfolio
• Stop loss: 1.5-2x ATR below entry
• Target: Minimum 1:3 risk/reward
• Position size: Auto-calculated based on stop distance

Step 4: Rebalancing schedule

• Monthly: Review allocation vs targets. Rebalance if any position drifts >5% from target.
• Quarterly: Full portfolio audit. Exit underperformers, add to convictions.
• Annually: Major strategy review based on market cycle position.

Step 5: Checklist before every trade

• [ ] Risk amount calculated (max 2%)?
• [ ] Stop loss set (and honored)?
• [ ] Risk/reward minimum 1:3?
• [ ] Position fits portfolio allocation?
• [ ] Written thesis and exit plan?
• [ ] Emotionally neutral (not revenge trading)?

Step 6: Performance tracking

Track these metrics monthly:

• Total return vs Bitcoin (alpha)
• Win rate
• Average win vs average loss
• Maximum drawdown
• Sharpe ratio (return per unit of risk)

If you’re underperforming Bitcoin after fees, you’re better off just holding Bitcoin.

Step 7: Continuous education

Markets evolve. Stay informed through:

• On-chain analytics (Glassnode, Nansen)
• Protocol updates (governance forums)
• Macro trends (Fed policy, regulations)
• Community intelligence (Twitter/X, Discord, Telegram)

The traders who survive aren’t the smartest—they’re the most disciplined about managing risk. For related strategies on building systematic approaches, see our DCA crypto complete guide.

Risk Management Tools and Resources Comparison

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