Research · Altcoins
ICP during major Bitcoin moves
Last reviewed 2026-09-21Source: CoinGecko daily price series for ICP and BTC; event dates from this site's Bitcoin recordEvents are dated from the Bitcoin record; no ICP return is asserted for any window.
Dataset, period and method
The dataset is the daily price series for ICP and BTC published by CoinGecko. The period is bounded on the ICP side by the May 2021 listing, which means only Bitcoin events after that date can be included. The events themselves are drawn from this site's Bitcoin record, where the dated peaks, troughs and major single-day moves are documented.
The method is an event study. For each named Bitcoin event, a window is defined around the event date — a short window before and after — and the behaviour of both series inside that window is described. The window is fixed in advance rather than chosen after looking at the data, which matters because a window chosen to fit the result is not evidence of anything.
The output of an event study is a timing record: on these dates, these two series did these things. That is a description of what happened, and it is the correct level of claim for this method. The method cannot establish that the Bitcoin event produced the ICP move, because it does not control for anything else that was happening at the same time.
The events and their windows
| Bitcoin event | Date | Window used | ICP coverage |
|---|---|---|---|
| Cycle peak | November 2021 | ± 30 days | Full — ICP had been trading for six months |
| Cycle trough | November 2022 | ± 30 days | Full |
| Exchange failure | November 2022 | ± 14 days | Full — a shorter window is used because the event was abrupt |
| Recovery leg | January 2023 onward | ± 30 days around the turn | Full |
| Spot ETF approvals | January 2024 | ± 14 days | Full |
Last reviewed 2026-09-21Source: Bitcoin event dates from this site's record; ICP listing date from CoinGeckoWindows are fixed in advance. No return is stated for either asset in any window.
The list is short, and that is the honest consequence of ICP's listing date. Bitcoin's record contains many more dated events than the five above; only the ones after May 2021 can be included, and only those where the event date is unambiguous. Events whose timing is contested — a gradual policy shift, a slow accumulation by a single holder — are excluded because an event study needs a date.
The window lengths are conventional rather than derived. A thirty-day window is long enough to capture a move that unfolds over weeks and short enough to limit contamination from unrelated developments. A fourteen-day window is used for abrupt events where a longer window would mostly capture the aftermath. Neither choice is neutral, and a different convention would produce a different record.
Timing and association, not causation
If ICP moved in the same direction as Bitcoin in the window around an event, the correct description is that the two moved together in that window. The incorrect description is that Bitcoin's move caused ICP's. The event study has no mechanism for distinguishing the two, and the common-factor explanation is available for every case: a Bitcoin event large enough to be named is usually a market-wide event, and a market-wide event moves most assets in the same direction.
There is a further problem specific to this comparison. Bitcoin's largest moves are often driven by developments in Bitcoin's own market — a halving, a regulatory decision about a Bitcoin product, a large holder's activity. Those developments have no direct connection to the Internet Computer, so an ICP move in the same window is more plausibly a response to the market-wide conditions that accompanied the event than to the event itself.
The reverse claim is equally unsupported. Nothing in this method shows that ICP influenced Bitcoin, and the relative sizes of the two markets make that explanation implausible on its face. The point is not that one direction is more likely than the other; it is that the method cannot speak to direction at all.
This site's correlation page makes the same point about the statistical measure, and the design-intent comparison covers why the two networks are not substitutes for one another, which is relevant to how much a shared market factor should be expected to move both.
Limitations
The sample is five events at most, and they are not independent. The November 2022 peak-to-trough and the exchange failure in the same month overlap, so they are two views of one period rather than two observations.
The windows are conventional. A different length would include different days and could change the description of what happened in the window, which is a reason to treat the record as illustrative rather than definitive.
The series are daily closes, so intraday moves are not captured. An event that produced a sharp intraday move and a partial recovery by the close will appear smaller in this record than it was.
Finally, the page does not assert a return for either asset in any window. The event dates and the method are stated so that a reader can reproduce the exercise from the source data, which is where the numbers belong.
Sources and references
The price series come from CoinGecko. The Bitcoin event dates are this site's own record, documented on the cycle and milestone pages.
- ICP historical price data. CoinGecko, Internet Computer (ICP): the daily series and the listing date that bounds the event list.
- Bitcoin's dated cycle record. Bitcoin Data Guide, Market Cycles: the peaks, troughs and phase dates used to define the events.
- Bitcoin's milestone record. Bitcoin Data Guide, Milestones: the dated events that shaped Bitcoin, including the ones used here.
- Bitcoin's all-time high history. Bitcoin Data Guide, All-Time High History: the dated peaks that anchor the event windows.
Related reading
- Research HubEvery dataset on the site, with methodology and provenance.
- Altcoin ResearchAltcoins measured against Bitcoin: design intent, consensus, execution, scaling and market structure.
- The ETH-BTC Correlation RecordHow the correlation is measured, how it behaves across windows, and where it breaks down.
- The ETH/BTC RatioWhat the ratio measures, how to read its trend, and why it is not a forecast.
- ETH During Bitcoin Bull PhasesAssociation within a common market factor, and what co-movement cannot establish.
- ETH During Bitcoin Bear PhasesDrawdown depth and duration compared over identical windows, and the limits of the comparison.