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Research · Altcoins

Large-cap and small-cap behaviour across Bitcoin's cycles

Smaller assets move further than larger ones in both directions, and the difference is largest at the turns of Bitcoin's cycles. That pattern is visible in the record and it is also the pattern most easily manufactured by a biased sample. This page states the buckets, describes the behaviour, and gives the survivorship problem the space it needs.

Last reviewed 2026-09-21Source: CoinGecko historical price and market-capitalisation data, with the size buckets stated belowBucket construction and methodology only. No correlation, beta or return figure is asserted on this page.

Dataset, period, method and limitations

The comparison uses CoinGecko's historical price and market-capitalisation series. Assets are sorted into two buckets at each rebalance date by their market capitalisation rank: a large-cap bucket containing the highest-ranked non-Bitcoin assets, and a small-cap bucket containing assets below a stated rank but above a minimum liquidity floor. Each bucket is equal-weighted and rebalanced quarterly.

The period runs from the first date on which both buckets contained enough assets to be meaningful, through the most recent complete calendar year. The method is descriptive: the page reports the direction and relative amplitude of each bucket's ratio to Bitcoin across Bitcoin's cycle phases, without fitting a model or asserting a cause.

The limitations are dominated by one problem, and it is worth stating before anything else. A small-cap bucket is a survivorship trap. The assets that are in a small-cap bucket today are the ones that have not yet failed; the ones that failed are gone from the data, and their declines are therefore absent from the series. If the bucket is defined from today's membership backwards, the small-cap series will show a return that no investor could have realised, because the investor would have held the failures too.

This page handles the problem in two ways. Membership is defined at each rebalance date from the data available at that date, so an asset that was small then and is large now is counted as small then. And the page reports the bucket's behaviour in terms of direction and relative amplitude rather than as a return figure, because a return figure computed from a survivorship-biased sample is not a number this site is willing to publish. The bias is reduced, not eliminated: assets that were never listed on a covered venue remain invisible.

The size buckets

How the two size buckets are defined, and what each definition costs in terms of bias.
BucketDefinitionPrincipal bias
Large capThe highest-ranked non-Bitcoin assets by market capitalisation at the rebalance date, capped at a fixed countMembership is stable, so the bucket understates the failure rate of assets that were once large
Small capAssets below the large-cap rank but above a minimum liquidity floor, capped at a fixed countSurvivorship: assets that failed are absent from the data, which biases the bucket upward
Liquidity floorA minimum reported trading volume, applied at the rebalance dateThe floor excludes assets that were illiquid, which removes some genuine small-cap behaviour along with the untradeable names
RebalancingQuarterly, on the first day of each calendar quarterA fixed schedule is auditable, but it means an asset can move between buckets between rebalances

Last reviewed 2026-09-21Source: Bucket rule defined by this site; membership data from CoinGeckoThe rule is stated so it can be reproduced. No bucket return figure is published on this page.

The liquidity floor is a compromise and should be read as one. Without it, the small-cap bucket fills with assets whose quoted price is not a price anyone could transact at, and the bucket's behaviour becomes a description of quotation artefacts rather than of markets. With it, the bucket excludes the very smallest assets, which are the ones most likely to have failed. The floor therefore trades one bias for another, and the direction of the trade is toward understating the small-cap effect rather than overstating it.

The large-cap bucket has the opposite problem. Its membership is stable, which means it is composed of assets that were already successful at the start of the period. That makes the bucket a reasonable description of how established assets behave, and a poor description of how assets become established. A reader should not read the large-cap series as evidence that size protects an asset from failure; it is evidence that the assets which survived were large.

How the two buckets behave across Bitcoin's phases

Across Bitcoin's completed cycles, the two buckets behave differently in a consistent direction. During the late stage of a Bitcoin advance, the large-cap bucket's ratio to BTC tends to compress while the small-cap bucket's ratio compresses further. The small-cap bucket is the last to participate in an advance and the first to lose ground as the advance matures. The cycle comparison page sets out the phase dates this description rests on.

During the early stage of a recovery, the pattern reverses. The small-cap bucket's ratio expands further than the large-cap bucket's, and it does so earlier. This is the rotation pattern that the individual asset pages in this cluster describe, seen at the level of the two size groups rather than one asset at a time.

The amplitude difference is the more robust finding. In every completed cycle in the period, the small-cap bucket moved further in both directions than the large-cap bucket, and the large-cap bucket moved further than Bitcoin. That ordering — small cap, then large cap, then BTC — is consistent across the cycles observed, and it is what a liquidity explanation predicts. The liquidity page explains why thinner order books amplify price moves, and the ordering follows directly from it.

The survivorship caveat, stated in full

The amplitude ordering described above is the finding least affected by survivorship, because it is a statement about how the surviving assets moved rather than about how much an investor would have made. A bucket of assets that all survived can still be compared with Bitcoin on the amplitude of its moves, and the comparison is meaningful.

Any statement about returns is affected, and severely. The small-cap bucket's return over the period is computed from assets that are still listed today. The assets that went to zero are not in the series, and their absence inflates the result by an amount that cannot be estimated from the data available. This is why the page reports direction and relative amplitude and declines to publish a return figure. A return figure from this sample would be a number that no investor could have earned, presented as though it were a description of the market.

The same caveat applies, in weaker form, to the large-cap bucket. Its membership is stable, but stability is itself a selection effect: an asset is in the bucket because it was large at the start of the period, and assets that were large and then collapsed are under-represented. The market capitalisation reference explains why a capitalisation figure is a construction, and why a rank built from it inherits the construction's weaknesses.

The honest summary is that the size effect is real in the sense that the amplitude ordering is visible and consistent, and that its magnitude is not something this page can state. A reader who wants a magnitude should treat any published figure with suspicion unless the author has explained how the failures were handled.

Sources and references

The bucket rules are defined by this site and stated in full above so they can be reproduced. The membership and price data come from CoinGecko's historical series. The cycle phase dates come from this site's own cycle reference.

  • Historical price and capitalisation series. CoinGecko, Bitcoin historical data and the corresponding series for each bucket member: the daily USD prices and capitalisation figures behind the comparison.
  • Market capitalisation as a measure. This site, Market Cap Explained: why a rank built from a constructed figure inherits its weaknesses.
  • Liquidity and amplification. This site, Bitcoin Liquidity: the mechanism that predicts the small-cap, large-cap, BTC amplitude ordering.
  • Cycle phases. This site, Bitcoin Cycle Comparison: the phase dates used as the reference frame for the description above.
  • Bitcoin's own return shape. This site, Return Profiles: how the shape of Bitcoin's returns has changed across cycles, which bounds how far any cross-cycle comparison can be pushed.