Crypto fund performance during bear markets
Crypto fund performance during bear markets
Bear markets reveal who is actually managing risk and who was just riding the bull. We analyze crypto fund performance during the 2018 crash, the 2022 bear market, and the late-2025 correction. The pattern is consistent: strategy selection determines whether you survive.
return in 2018
return in 2022
return in 2025
funds in 2025
- ✓ Crypto has had three significant bear periods since 2017: the 2018 crash (-83% BTC peak to trough), the 2022 bear market (-76% BTC), and a partial correction in late 2025 that caught many funds off guard
- ✓ In every bear market, the average crypto fund lost less than Bitcoin. In 2018: funds -72% vs. BTC -73%. In 2022: funds -42% vs. BTC -64%. The downside protection is real but not dramatic for directional strategies
- ✓ Market-neutral funds are the only strategy category that has been consistently positive during bear periods. They returned approximately +14% in 2025 when directional funds were negative
- ✓ The 2022 bear market killed more funds through counterparty and operational failures (Luna, Three Arrows, FTX) than through pure market losses. The lesson: operational risk matters more in bear markets than in bull markets
- ✓ Bear markets also destroy many funds as businesses: investors redeem, performance fees go below high-water marks, and smaller funds cannot cover operating costs. Roughly 15-20% of crypto funds shut down during the 2022 bear
- ✓ The funds that survive bear markets and are still standing when the recovery arrives tend to be the best long-term performers. Survivorship can be alpha.
Three bear markets, three different lessons
The crypto fund industry has experienced three distinct bear periods since its formation in 2017. Each one was different in character, caused by different factors, and taught the industry different things. Understanding all three gives you a much better framework for evaluating how a fund might behave in the next downturn than looking at any single period in isolation.
| Bear period | BTC peak-to-trough | Avg crypto fund return | Market-neutral return | Primary cause | Funds that shut down |
|---|---|---|---|---|---|
| 2018 | -83% | ~-72% | Limited data | ICO bubble burst, regulatory crackdown | ~100+ closures |
| 2022 | -76% | -42% | Positive (most) | Luna/UST, Three Arrows, FTX | ~150+ closures |
| Late 2025 | -14% (Q4 correction) | -7.2% (Q4) | ~+14% (full year) | Tariff shock, liquidity drain, basis trade compression | TBD |
The improvement from 2018 to 2022 is notable. In 2018, funds lost almost exactly as much as Bitcoin (-72% vs. -73%). By 2022 funds lost significantly less than Bitcoin (-42% vs. -64%). The gap represents real improvement in risk management practices across the industry. More funds were hedging, more were using derivatives, and more had risk frameworks that reduced exposure during drawdowns.
But the 2022 and late-2025 numbers also reveal something important: the industry’s biggest bear market vulnerabilities are not market risk. They are counterparty risk and liquidity risk. The funds that got destroyed in 2022 mostly failed because of Luna exposure, FTX exposure, or leverage. In late 2025, the October 10 crash caused cascading liquidations in thin liquidity, which hit strategies that depended on orderly markets (mean-reversion, basis trades) much harder than directional strategies.
The 2018 crash: the original wipeout
The 2018 bear market was straightforward (in hindsight). Bitcoin peaked near $20,000 in December 2017, driven by the ICO boom and retail speculation. It then crashed 83% to approximately $3,200 by December 2018. The total crypto market cap fell from roughly $800 billion to under $130 billion. It was a classic bubble bursting.
For crypto funds, 2018 was devastating. The average fund lost approximately 72%, nearly identical to Bitcoin’s decline. Most crypto funds at the time were long-only or long-biased, with limited hedging capability. The derivatives markets (especially perpetual futures) were still immature. Options markets barely existed. There were few tools to hedge, and even fewer managers who knew how to use them.
The fund closure rate was severe. An estimated 100+ crypto funds shut down during and after the 2018 bear market. Many had launched in late 2017 at the peak of the ICO frenzy, raised capital from retail or high-net-worth investors, and were underwater within months. Without performance fees (due to high-water marks) and with declining AUM, they could not cover operating costs. The industry was roughly halved.
The lesson from 2018: in the absence of hedging tools and risk management infrastructure, a crypto fund is just leveraged beta. The surviving funds from 2018 became the core of what is now the institutional crypto fund industry. Many of them, including Pantera Capital and several others, are still operating today and have since-inception track records that benefit enormously from having started investing at 2018-2019 lows.
The 2022 bear market: when infrastructure failed
We covered the 2022 bear market in detail in our drawdowns article, so we will focus here on the aspects specific to fund performance measurement.
The average crypto fund returned -42% in 2022, compared to -64% for Bitcoin. That 22-percentage-point gap is meaningful. It means the industry, on average, captured roughly two-thirds of Bitcoin’s downside rather than all of it. For an allocator, losing 42% is still painful, but it is substantially better than losing 64%. The funds that contributed most to that downside protection were the growing number of market-neutral and quantitative strategies that barely existed in 2018.
The 2022 performance data has a major caveat: survivorship bias. The funds that reported December 2022 results are, by definition, the ones that survived. Three Arrows Capital, which lost everything, is not in the year-end averages. Alameda Research is not in the averages. The dozens of smaller funds that shut down mid-year without reporting final NAVs are not in the averages. The true industry return including dead funds was worse than -42%.
What separated the survivors from the casualties was primarily operational risk management, not investment skill. Pantera Capital sold most of its Luna position before the collapse. Funds that kept assets diversified across multiple custodians and exchanges avoided total loss on FTX. Funds that ran moderate leverage could meet margin calls. The common thread among the failures was excessive concentration, excessive leverage, or excessive counterparty trust. Investment strategy mattered, but operational discipline mattered more.
Late 2025: the bear nobody expected
2025 was supposed to be the breakthrough year for institutional crypto. Bitcoin hit record highs. The White House was publicly supportive. Institutional capital was flowing in through ETFs and structured products. And yet, by multiple measures, it was the worst year for crypto hedge funds since 2022.
The numbers tell a complicated story. Bitcoin ended 2025 up significantly for the full year, so how did funds lose money? The answer lies in timing and strategy.
Directional funds that bet on price movement were down approximately 2.5% through November, their worst performance since 2022. Fundamental strategies with heavy altcoin exposure were down roughly 23%. The CFR Crypto Fund Index returned -7.2% in Q4 2025, underperforming Bitcoin’s -7% for the quarter. Only market-neutral strategies posted positive annual returns, up approximately 14%.
What went wrong? Several things compounded on each other.
The October 10 crash. A political tariff announcement triggered a sudden 14% drop in Bitcoin, but the real damage was in altcoins, where dozens of tokens fell 40%+ in hours. This was one of the fastest liquidation events in crypto history. Market makers pulled out, trading infrastructure strained, and order routing systems failed. Funds running mean-reversion or altcoin arbitrage strategies were hit hardest because the prices they expected to revert simply kept falling.
Basis trade compression. The previously reliable arbitrage between spot and futures prices tightened dramatically as institutional money via ETFs and structured products entered the market. What once generated 10-20% annualized with minimal risk shrank to low single digits. Funds built around this trade saw their primary revenue source evaporate.
Liquidity fragmentation. Bitcoin hit record highs, but the price action happened in thin bursts. Institutional funds could not enter or exit positions without significant slippage. This made directional strategies unprofitable: by the time you got a position on, the move was already done, and the spread you paid to get in ate the return.
2025 was not a classic bear market. Unlike 2018 and 2022, 2025 did not feature a prolonged decline in Bitcoin’s price. BTC was up for the full year. The problems were structural: liquidity, basis trade compression, and the October shock. This created an unusual environment where the market was technically bullish but actively managed strategies struggled. It is a preview of what crypto fund management looks like in an increasingly institutional, ETF-dominated market.
Bear market performance by strategy
The most important chart in this article. How each strategy category performed during each major bear period.
| Strategy | 2018 bear | 2022 bear | 2025 (full year) | Pattern |
|---|---|---|---|---|
| Long-only | -75% to -85% | -55% to -70% | Varies widely | Worst performer in every bear market. No downside protection by design. |
| Discretionary L/S | -50% to -70% | -30% to -55% | ~-2.5% (directional) | Better than long-only, but still exposed. Quality of the short book determines the gap. |
| Quantitative | Limited data | -10% to -25% | Mixed | Much better than directional. Models adjust faster than humans. But not immune to regime change. |
| Market-neutral/arb | Limited data | Flat to +10% | ~+14% | Only strategy consistently positive during bear markets. The survivability champion. |
| Multi-strategy | -40% to -60% | -20% to -40% | Mixed | Depends on allocation between directional and non-directional books. |
The pattern is remarkably consistent across all three periods. The more directional the strategy, the worse it performs in bear markets. The more market-neutral, the better. This is not surprising because it is literally what these strategies are designed to do. But many allocators still underweight market-neutral in their crypto allocations because the bull market returns look modest. The bear market data is the corrective.
The improvement from 2018 to 2022 is visible across every category. This is partly because the industry got better at risk management and partly because more sophisticated strategies (quant, market-neutral) grew from a tiny share of the market to a meaningful one. By 2022, market-neutral strategies accounted for 17% of crypto hedge funds, up from essentially zero in 2018. That structural shift improved the industry-wide averages during the bear market.
See how every fund handled the bear markets
Our Performance Database includes monthly returns through 2018, 2022, and 2025 for 300+ funds. See exactly how each manager’s NAV behaved during every drawdown, and how long recovery took.
Explore the Performance Database →Bear markets as a business problem
Bear markets do not just hurt fund performance. They threaten the fund’s existence as a business. This is an underappreciated risk that allocators should understand because it affects the survivability of your investment.
High-water mark problem. Most crypto funds charge performance fees only when the fund’s NAV exceeds its previous peak. If a fund loses 50% in 2022, it needs to gain 100% just to get back to the high-water mark and start earning performance fees again. Until then, the fund earns only its management fee (typically 1-2% of AUM). For a small fund managing $50 million, that is $500K to $1M per year, which may not cover team salaries, office costs, data feeds, and compliance.
Redemptions accelerate the problem. Investors redeem during bear markets, shrinking AUM precisely when the fund needs capital to survive. A fund that entered 2022 managing $100 million might exit the year managing $30 million (50% from losses, another 40% from redemptions). The management fee on $30 million is barely enough to keep the lights on.
The shutdown decision. At some point, a fund manager facing years below the high-water mark, declining AUM, and ongoing operating costs will decide to shut down and start fresh, either with a new fund or in a different career. Roughly 15-20% of crypto funds are estimated to have shut down during or shortly after the 2022 bear market. This natural selection is healthy for the industry long term, but it is bad for the investors who were in those funds.
Why this matters for allocators: when you evaluate a crypto fund’s bear market risk, you are evaluating not just the potential for losses but the potential for the fund to cease to exist. A fund that draws down 60% and shuts down is infinitely worse than a fund that draws down 40% and survives. Survivability depends on fund size (larger funds have more cushion), fee structure (locked-in management fees matter), LP quality (institutional LPs are less likely to panic-redeem), and the manager’s personal financial situation (can they afford to work below the high-water mark for two years?).
How allocators should prepare for the next bear market
Accept that it will happen. Crypto markets will have another bear period. The timing is unknowable. The appropriate response is not to try to predict when, but to build a portfolio that can survive it. If your crypto allocation cannot withstand a 50-60% drawdown in the directional portion and a 10-15% drawdown in the non-directional portion, it is not sized correctly for your risk tolerance.
Allocate to strategies, not to “crypto.” A portfolio with 50% market-neutral, 30% quant, and 20% discretionary long/short will behave very differently in a bear market than a portfolio with 100% in a single long-biased fund. The first portfolio might draw down 15-20%. The second might draw down 50-60%. Strategy diversification is the single most effective tool for bear market protection in crypto. See our strategy comparison for the data.
Evaluate bear market track records specifically. Ask every manager: what happened to your fund in 2022? If they were not operating in 2022, what happened during the previous drawdown they experienced? How much did you lose? What was the max drawdown? How long did recovery take? Did you gate redemptions? These questions are more important than any bull market return number. Our Performance Database lets you filter by 2022 performance specifically to find managers who demonstrated genuine downside protection.
Watch for structural shifts. The late 2025 experience showed that bear market risks are evolving. The basis trade compression and liquidity fragmentation that hurt funds in 2025 are consequences of crypto’s institutionalization. As more capital flows through ETFs and structured products, the alpha landscape changes. The bear market risks of 2026 or 2027 may look different from 2022. Managers who are adapting their strategies to the new market structure will fare better than those running the same playbook that worked five years ago.
Size the allocation to survive. Whatever percentage of your portfolio you allocate to crypto, make sure you can hold through a full bear cycle (potentially 12-24 months of losses or flat performance). If you will be forced to redeem at the worst moment because of liquidity needs, portfolio rebalancing rules, or board pressure, you are better off not investing at all. The worst outcome is investing at high conviction, experiencing a bear market, redeeming at the bottom, and missing the recovery. That sequence has happened to countless crypto fund investors, and it is entirely avoidable with proper sizing and planning.
For a comprehensive evaluation framework, see our manager evaluation guide, due diligence checklist, and drawdown analysis.
Bear market-proof your crypto allocation
Use the Performance Database to find funds with the strongest bear market track records. Filter by 2022 return, max drawdown, and strategy to identify managers who protect capital when it matters most.
Explore the Performance Database →FAQ
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