Showing 25 of 25 defunct funds
Firm Name Fund Type Former Leadership City Country Founded Last Known
08 Capital
Venture Capital David Marshall, Managing Partner Madrid Spain 2018 Mar 2020
21 Capital
Venture Capital Harbinger Singh, COO Grand Cayman Cayman Islands May 2023
256 Capital Partners
Hedge Fund David Lu, Managing Partner New York United States 2019 Jun 2023
256 Ventures
Venture Capital David Lu, Co-Founder Singapore Singapore 2018 Mar 2020
3.0 Capital
Hedge Fund Woodrow Levin, CEO San Francisco United States 2018 Apr 2020
Able.Fund
Hedge Fund Vladimir Emmerig, CEO Meggen Switzerland 2017 Apr 2019
Accelerated Digital Ventures
Venture Capital Mike Dimelow, CIO Sheffield United Kingdom 2016 Apr 2023
Acerra Capital
Venture Capital Leo Svensson, Co-CEO London United Kingdom 2017 Apr 2020
Adamant Capital
Hedge Fund Tuur Demeester, CEO Panama City Panama 2015 Mar 2021
Advance.Fund
Hedge Fund Daniel Berlio, Co-Founder London United Kingdom 2017 Mar 2021
Aenigma Capital
Hedge Fund David Grider, Partner Santa Monica United States 2018 Jan 2021
Aeon
Venture Capital Alan Lewis, Co-Founder Middletown United States 2012 Mar 2022
Alameda Research
Hedge Fund Sam Trabucco, Co-CEO Road Town British Virgin Islands 2017 Oct 2022
Alchemyze Capital
Venture Capital Justin Jung, Managing Director New York United States 2018 Mar 2020
Algo Capital
Venture Capital David Garcia, Co-Founder Boston United States 2018 Apr 2020
Algo Capital
Venture Capital David Garcia, Co-Founder Boston United States 2018 Aug 2020
Algo.Land
Hedge Fund Eddi Salm, Founder Zurich Switzerland 2017 Jan 2025
Algorithmic Trading LLC
Hedge Fund Arvin Bhangu, Founder Toronto Canada 2017 Sep 2019
All in One Coin
Hedge Fund Sujit Jadhav, Founder Hong Kong Hong Kong 2017 Jul 2018
Alluminate
Venture Capital Blake Richardson, CEO Washington United States 2018 Apr 2018
Alphachain
Venture Capital Hen Tekle, Co-Founder San Juan Puerto Rico 2018 Feb 2023
Alphachain Capital
Hedge Fund Adam Haeems, CEO London United Kingdom 2017 Jul 2025
Alphacoin Capital
Hedge Fund Joseph Kunzler, Founder Chicago United States 2017 Jul 2018
Alphacoin Fund
Venture Capital Frank Mo, Co-Founder Boston United States 2017 May 2020
AlphaLedger
Hedge Fund Andre Carrera Fernandes, Founder Curitiba Brazil 2015 Apr 2017
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Alphanode
Hedge Fund MIlan Koch, Managing Partner Los Angeles United States 2017 Feb 2020
Altairian Capital
Hedge Fund Michael Collet, Co-Founder London United Kingdom 2017 Nov 2018
Altcoin Advisors
Hedge Fund Mick Sherman, CEO New York United States 2017 Aug 2018
Aludra Capital Advisors
Hedge Fund Taweh Beysolow, Principal San Francisco United States 2019 Mar 2021
Anti Hero Capital
Venture Capital Matthew Snow, Co-Founder Melbourne Australia 2018 May 2021
Antibes Cap
Venture Capital James Canning-Cooke, Managing Partner London United Kingdom 2018 Feb 2022
Antikythera Capital
Venture Capital Emilianos Ellinas, Founding Partner New York United States 2017 Jan 2022
Apex Token Fund
Hedge Fund Chris Keshian, CEO San Francisco United States 2018 May 2018
Applied Crypto Ventures
Venture Capital Christian Kaczmarczyk, Founder Waltham United States 2018 Jan 2021
Arctos Capital
Hedge Fund Trevor Smyth, Managing Partner San Francisco United States 2018 Dec 2022
Access the full dead funds database — 409+ defunct crypto funds with leadership, location, and timeline data.
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Data Methodology & Metric Definitions

Data Sources & Reporting Standards

All performance data in the CFR Performance Database is reported directly by fund managers on a voluntary, monthly basis. Returns are reported net of all fees (management fees and performance fees), representing the actual return experienced by investors.

Crypto Fund Research does not independently audit fund returns. However, we cross-reference reported data against publicly available NAV data, regulatory filings, and fund factsheets where available.

Reporting lag: Most funds report monthly returns with a 2–4 week lag. Data is typically available in the first few weeks of the following month.

Update frequency: The database is updated weekly as new fund reports are received.

Survivorship Bias

Our database retains the complete return history of all funds that have ever reported to us, including funds that have since closed, stopped reporting, or been liquidated. This reduces survivorship bias in aggregate statistics and index calculations. Funds are flagged as "Currently Reporting" or "Inactive" so subscribers can filter accordingly.

Time Periods

Most metrics are calculated across three rolling windows:

  • Since Inception (SI): From the fund's first reported month through the latest available month.
  • Trailing 24 Months (24M): The most recent 24 months of reported returns.
  • Trailing 12 Months (12M): The most recent 12 months of reported returns.

Benchmark & Risk-Free Rate

Bitcoin (BTC) monthly returns are used as the benchmark for all relative performance metrics (alpha, beta, correlation, R², capture ratios).

Risk-free rate: Set to 0% for all ratio calculations. This is standard practice for crypto fund analysis.

Return Metrics

Cumulative Return (SI, 24M, 12M) — The total compounded return over the period. Calculated as the product of (1 + monthly return) for each month, minus 1.

Annualized Return (SI, 24M, 12M) — The geometric average annual return. Calculated as (1 + Cumulative Return)^(12 / months) − 1.

Average Monthly Return (SI, 24M, 12M) — The arithmetic mean of all monthly returns over the period.

Best Month / Worst Month (SI, 24M, 12M) — The highest and lowest single monthly returns recorded during the period.

Positive Months / Negative Months (SI, 24M, 12M) — Count of months with returns above and below zero, respectively.

Percentage of Positive Months (SI, 24M, 12M) — Positive months divided by total months. A measure of return consistency.

Year-to-Date Return (YTD) — Compounded return from January of the current year through the latest reported month.

Risk Metrics

Volatility — Annualized (SI, 24M, 12M) — Standard deviation of monthly returns multiplied by √12. Measures total dispersion of returns.

Downside Deviation (SI, 24M, 12M) — Standard deviation of only negative monthly returns (below 0%). Captures downside risk only.

Value at Risk — 95% (SI, 24M, 12M) — Estimated maximum monthly loss at 95% confidence, using the parametric method.

Conditional Value at Risk — 95% (SI, 24M, 12M) — Average loss in the worst 5% of months. Also known as Expected Shortfall.

Maximum Drawdown (SI, 24M, 12M) — Largest peak-to-trough decline in cumulative returns over the period.

Drawdown Duration (SI) — Months from start of maximum drawdown to recovery.

Semi-Deviation (SI, 24M, 12M) — Standard deviation of returns below the mean return.

Risk-Adjusted Ratios

Sharpe Ratio (SI, 24M, 12M) — Annualized return divided by annualized volatility (risk-free rate = 0%). Measures return per unit of total risk. Above 1.0 is strong; above 2.0 is exceptional.

Sortino Ratio (SI, 24M, 12M) — Annualized return divided by annualized downside deviation. Penalizes only negative volatility.

Omega Ratio (SI, 24M, 12M) — Probability-weighted gains above 0% divided by probability-weighted losses below 0%. Captures the entire return distribution including skewness and kurtosis.

Calmar Ratio (SI, 24M, 12M) — Annualized return divided by the absolute value of maximum drawdown.

Treynor Ratio (SI, 24M, 12M) — Annualized return divided by beta (relative to Bitcoin). Measures return per unit of systematic risk.

Information Ratio (SI, 24M, 12M) — Annualized excess return over Bitcoin divided by tracking error. Measures consistency of outperformance.

Relative Performance (vs. Bitcoin)

Alpha — Annualized (SI, 24M, 12M) — Excess return beyond what the fund's beta to Bitcoin would predict. From the intercept of a linear regression of fund returns vs. BTC returns.

Beta (SI, 24M, 12M) — Sensitivity to Bitcoin price movements. Slope of the regression of fund returns vs. BTC returns. Beta of 1.0 = moves in lockstep with BTC.

Correlation to BTC (SI, 24M, 12M) — Pearson correlation between fund and Bitcoin monthly returns. Ranges from -1.0 to +1.0. Low correlation suggests diversification potential.

R-Squared (SI, 24M, 12M) — Proportion of fund return variance explained by Bitcoin returns.

Tracking Error (SI, 24M, 12M) — Annualized standard deviation of the difference between fund and Bitcoin monthly returns.

Up Capture Ratio (SI, 24M, 12M) — Fund's average return in positive BTC months divided by BTC's average return in those months. Above 100% = captured more upside than BTC.

Down Capture Ratio (SI, 24M, 12M) — Fund's average return in negative BTC months divided by BTC's average return in those months. Below 100% = better downside protection than BTC.

Distribution Analysis

Skewness (SI, 24M, 12M) — Asymmetry of the return distribution. Positive = longer right tail (more extreme gains). Negative = longer left tail (more extreme losses).

Kurtosis (SI, 24M, 12M) — "Tailedness" of the return distribution. Excess kurtosis above 3 indicates fatter tails than normal — extreme returns occur more often than expected.

Jarque-Bera (SI) — Statistical test of whether returns are normally distributed. High values indicate non-normality, meaning metrics that assume normality (VaR, Sharpe) should be interpreted with caution.

Gain/Loss Ratio (SI, 24M, 12M) — Average gain in positive months divided by average loss in negative months. Above 1.0 = winning months are larger than losing months.

Average Gain / Average Loss (SI, 24M, 12M) — Mean return in positive months and negative months, respectively.

Max Consecutive Losses (SI, 24M, 12M) — Longest streak of consecutive negative months.

CFR Crypto Fund Index

The CFR Crypto Fund Index is an equal-weighted composite of all crypto funds that reported monthly returns for a given month. Each reporting fund contributes equally regardless of AUM. Strategy sub-indices (Multi-Strategy, Quantitative, Long Only, Market Neutral, Venture, Arbitrage) use the same methodology applied to strategy subsets.

The index has been calculated monthly since January 2017. Funds enter and exit as they begin and cease reporting. Historical composition varies over time.

Limitations: As a voluntary reporting database, the index may not represent the entire crypto fund universe. Funds that perform poorly may be less likely to report, which could introduce reporting bias.

Questions

For questions about our data methodology, contact us at info@cryptofundresearch.com.