The cryptocurrency market benchmark
The CCi30 Cryptocurrency Index
The CCi30 Cryptocurrency Index measures the performance of the 30 largest cryptocurrencies by adjusted market capitalization under a published, rules-based methodology.
| 52 week change | -54.12% |
| 52 week high | 23,262.30 |
| 52 week low | 9,100.35 |
| 30 Day Market Efficiency Ratio | 0.13 |
| Year to date change | -31.19% |
| Month to date change | 6.94% |
| Daily high | 9,784.30 |
| Daily low | 9,641.25 |
About the CCi30 Cryptocurrency Index
The CCi30 is the first independent, rules-based index constructed to measure the performance of the cryptocurrency market as a whole. It tracks the 30 largest cryptocurrencies by adjusted market capitalization, excluding stablecoins and other pegged instruments, and expresses their aggregate performance as a single value. The index serves as a performance benchmark for investment professionals and as a replication reference for diversified, passive exposure to the asset class.
Key features of the CCi30 Cryptocurrency Index
The construction of the CCi30 rests on five principles:
- Diversification. Exposure is distributed across thirty constituents rather than concentrated in a small number of assets.
- Replicability. Constituent weights are published and reproducible, permitting direct replication by investment products.
- Transparency. The construction rules, weighting formula and maintenance schedule are public and unchanged in substance since inception.
- Market Coverage. The constituent set captures the substantial majority of aggregate cryptocurrency market capitalization.
- Risk-Aware Calibration. Square-root weighting limits concentration in the two largest assets without transferring undue weight to illiquid constituents
The index was launched on 1 January 2017 with a base value of 100 set at 1 January 2015.
CCi30 Cryptocurrency Index constituents
The current constituent set, ranked by adjusted market capitalization, as determined at the most recent quarterly reconstitution. Prices, market capitalizations and daily changes update in real time.
| Ranking | Name | Price | Market cap | Change (day) |
| 1 |
|
$64,407.73 | $1,296,852,441,644 | 0.06% |
| 2 |
|
$1,876.33 | $230,835,015,898 | 0.07% |
| 3 |
|
$569.34 | $76,289,824,417 | 0.07% |
| 4 |
|
$1.10 | $68,864,431,315 | 0.08% |
| 5 |
|
$74.72 | $43,859,835,570 | 0.27% |
| 6 |
|
$0.33 | $31,484,559,463 | -0.17% |
| 7 |
|
$58.47 | $14,901,325,186 | 0.44% |
| 8 |
|
$0.07 | $11,262,019,046 | 1.23% |
| 9 |
|
$9.71 | $8,945,505,118 | 0.07% |
| 10 |
|
$485.05 | $8,251,097,774 | 1.29% |
| 11 |
|
$363.53 | $6,677,017,035 | -0.16% |
| 12 |
|
$8.40 | $6,419,735,832 | 0.15% |
| 13 |
|
$0.18 | $6,138,801,738 | -1.06% |
| 14 |
|
$0.17 | $5,996,863,759 | 0.29% |
| 15 |
|
$0.12 | $4,812,217,731 | -0.50% |
| Ranking | Name | Price | Market cap | Change (day) |
| 16 |
|
$209.49 | $4,361,827,109 | -0.16% |
| 17 |
|
$1.47 | $4,115,384,417 | -2.75% |
| 18 |
|
$46.78 | $3,707,463,891 | 0.52% |
| 19 |
|
$0.00 | $3,117,992,780 | 8.25% |
| 20 |
|
$0.07 | $3,061,435,902 | -1.16% |
| 21 |
|
$0.71 | $2,882,865,926 | 0.50% |
| 22 |
|
$6.76 | $2,877,093,002 | -0.19% |
| 23 |
|
$0.06 | $2,681,505,220 | -0.06% |
| 24 |
|
$3.66 | $2,417,799,237 | -0.16% |
| 25 |
|
$1.79 | $2,333,087,678 | 0.01% |
| 26 |
|
$194.05 | $2,206,406,325 | 1.22% |
| 27 |
|
$0.06 | $1,748,349,178 | -0.61% |
| 28 |
|
$0.63 | $1,689,255,942 | -0.56% |
| 29 |
|
$1.20 | $1,616,130,348 | -1.99% |
| 30 |
|
$4.80 | $299,610,519 | 1.06% |
Index methodology
The construction rules below define how the index picks its 30 constituents, how it weights them, how the published value is computed, and when each of those steps is repeated.
Constituent selection
The index comprises the thirty cryptocurrencies with the highest adjusted market capitalization. Stablecoins and other assets pegged to fiat currencies or external instruments are excluded from consideration, as their prices convey no independent information about the cryptocurrency market.
Selection is performed on adjusted market capitalization rather than on an instantaneous figure. The volatility characteristic of the asset class is such that instantaneous measurement would introduce excessive turnover into the constituent set. Adjusted market capitalization is therefore defined as an exponentially weighted moving average of market capitalization:
where M(t) is the observed market capitalization at time t, M* is the adjusted market capitalization, and α is the decay rate of the moving average, calibrated to a half-life of three days.
The constituent count is set at thirty on statistical grounds. Thirty is the minimum number of constituents at which the index remains statistically significant as an estimator of the market. At this scope the index represents the aggregate cryptocurrency market with a confidence level of 99% and a confidence interval of 1.11, a margin of error of 1.11% in the index level as an indicator of the market. A larger constituent set would increase replication cost without a corresponding improvement in accuracy; a smaller set would reduce diversification, compromise statistical significance, and increase the probability of omitting assets that subsequently appreciate materially.
Constituent weight calculation
Each constituent is weighted by the square root of its adjusted market capitalization, normalized across the constituent set. At time t, the weight of constituent 0 is:
where Mi* is the adjusted market capitalization of the specified constituent at time t.
The square-root function is applied as a calibrated intermediate between capitalization weighting and equal weighting. A capitalization-weighted index of this universe would be dominated by its two largest constituents; equal weighting, or any substantially flatter scheme, would assign disproportionate weight to the smallest and least liquid constituents. No caps or floors are applied to constituent weights, so that measured weights follow observed market proportions without administrative intervention.
Index value calculation
Between rebalancing dates, the index level is defined as:
Where It is the value of the index at time t, Wj is the weight of the jth name in the index, and Pj is the price of the jth name as a function of time. Constituent prices denominated in currencies other than the US dollar are converted at prevailing market foreign exchange rates.
On rebalancing dates, weights are normalized such that the index level is identical whether computed under the previous or the updated weights.
The index is calculated in real time. Daily reference values correspond to the close of the previous day, taken as 00:00 GMT.
Rebalancing and reconstitution
Index maintenance is conducted on two distinct schedules.
Rebalancing (monthly). On the first calendar day of each month, the adjusted market capitalization of each constituent is recalculated and constituent weights are updated in accordance with the square-root weighting formula. Revised weights are implemented at 00:00 GMT on the first Index Business Day of the month. Rebalancing does not alter index membership.
Reconstitution (quarterly). On the first calendar day of each quarter, all eligible cryptocurrencies are re-ranked by adjusted market capitalization. Assets no longer ranking within the top thirty are removed; assets newly ranking within the top thirty are added. Changes are implemented at 00:00 GMT on the first Index Business Day of the quarter. Index membership remains fixed between reconstitution dates.
At each rebalancing and reconstitution, the index divisor is adjusted so that the index level is unchanged whether computed under the previous or the updated composition and weights. Scheduled maintenance therefore has no effect on the index level.
| Rebalancing | Reconstitution | |
|---|---|---|
| Object of the change | Constituent weights | Index membership |
| Frequency | Monthly | Quarterly |
| Implementation | 00:00 GMT, first Index Business Day of the month | 00:00 GMT, first Index Business Day of the quarter |
The separation of weight updates from membership review follows established practice among major equity benchmarks. Monthly reweighting maintains correspondence between index weights and prevailing market proportions; quarterly membership review constrains turnover and, consequently, the transaction costs borne by funds and products replicating the index.
The use of adjusted market capitalization, an exponentially weighted moving average with a three-day half-life, further prevents transient ranking changes from affecting index composition.
Interpretation and applications
Index-level exposure produces a materially different risk profile from concentrated positions in individual assets. Participation in the appreciation of constituents that cannot be identified in advance is retained, while the effect of any single constituent’s decline on the aggregate is bounded by its weight.
The CCi30 Cryptocurrency Index functions as a performance benchmark for asset managers and trading desks, as a measurement instrument for the cryptocurrency market and the broader digital asset sector, and as a replicable underlying for passive funds and exchange-traded products.
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CCi30 Cryptocurrency Index statistics
These figures are computed from the official daily index values. They cover risk-adjusted return, volatility and the market efficiency ratio, each recalculated as new closes are published.
- Sharpe-Rivin* ratio (annualized)0.58
- Bitcoin Sharpe-Rivin0.67
- Yearly Volatility (σ)1.64
- Monthly Volatility (σ)0.22
- Bitcoin R2: 0.73939, Beta: 0.95, Alpha0.02
- Euro R2: 0.00104, Beta: 0.32, Alpha0.95
- GLD R2: 0.00594, Beta: 0.45, Alpha0.90
- SPY R2: 0.02368, Beta: 0.71, Alpha0.81
* The Sharpe-Rivin ratio is a refinement of the Sharpe ratio developed by Professor Igor Rivin. It is intended to measure risk-adjusted returns more accurately under the return distributions characteristic of this asset class. The underlying research is set out in this paper.
Index administration
The CCi30 is administered by an independent team of mathematicians, quantitative analysts and fund managers led by Igor Rivin, Professor of Mathematics at Temple University and Regius Professor of Mathematics at St. Andrews University, and Carlo Scevola, economist and entrepreneur. Robert Davis, Engineer, IT expert and programmer, is responsible for index technology and dissemination infrastructure.
The index is used by financial institutions as the performance benchmark for cryptocurrency investment strategies. A commercial license provides real-time API access, historical data feeds and the right to reference the index as an underlying benchmark. A no-cost license is available to universities and research institutions for non-commercial academic use.
Contact the CCi30 Cryptocurrency Index team
Inquiries regarding licensing, data access, product partnerships and academic research are directed through the form below.
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