Cryptobubbles timeframes can show different directions for hourly and daily price changes
Cryptobubbles timeframes can show a positive hourly return and a negative daily return because each interval uses a different starting price. A recent rise can leave a coin below its earlier daily price. Compare the same coin and quote currency, and keep the interval label attached to every percentage.
In short: Performance rankings remain comparable only when the coins share the same timeframe, quote currency, and observation basis.
Hourly recovery can coexist with a daily decline
The hourly figure compares the latest price with a recent baseline. The daily figure reaches further back. When the current price lies strictly between those starting prices, the signs differ. Both figures can describe their selected intervals correctly when the underlying prices use a consistent basis.
A positive hour within a negative day
A positive hourly change means the latest price exceeds the hourly starting price. A negative daily change means it remains below the daily starting price. Together, those relationships describe a recent recovery within a broader decline. They do not establish that the earlier loss has fully reversed or that the recovery will continue.
A negative hour within a positive day
The reverse pattern describes a recent fall that leaves the price above its daily baseline. The coin can retain a daily gain while losing ground during the hour. Calling that combination an error would confuse the timing of the comparison with the direction of the latest movement.
Matching positive or negative signs show that the latest price lies on the same side of both baselines. Intermediate movements can still include reversals, which the endpoint percentages do not reveal.
The selected interval sets the comparison horizon
The main market view includes 1H, 1D, 1W, 1M, and 1Y selections, corresponding to hour, day, week, month, and year views. Shorter intervals describe a more recent part of the price history. Longer intervals include an earlier starting point, which can substantially change the apparent direction and magnitude of performance. None of these durations makes the percentage a forecast, and the longest available period does not automatically answer the most relevant question.
Additional intervals have appeared in the app. Version 2.40 added four-hour and three-month timeframes on December 20, 2024. Those durations sit between the familiar shorter and longer choices. Their documented introduction does not mean that every chart or version presents identical controls; the main selector and an individual coin chart can expose different selections.
Performance rankings can change across periods
A coin can rank strongly over an hour and weakly over a day because each ranking compares a different interval. Relative performance can change when the earlier prices change. An hourly leader therefore does not automatically lead the daily or monthly comparison. Rankings across coins require a common timeframe and price basis. Comparing one coin's hourly percentage with another coin's daily percentage combines different questions, even when both figures use the same percentage symbol.
Starting prices determine the percentage change
Percentage price change equals the difference between the end price and the start price, divided by the start price, and multiplied by 100. Both prices must use the same unit, and the starting price must be nonzero. The starting price supplies the denominator, so changing that baseline changes the calculation even when the latest price stays fixed.
Relative changes and absolute price differences
An absolute price difference measures how much the quoted price changed in its currency. A percentage expresses that difference relative to the earlier price. Equal absolute changes can therefore produce unequal percentages when the starting prices differ. This explains why a larger movement in currency units need not represent a stronger percentage performance.
The same distinction applies within one coin across several intervals. Each comparison has its own earlier price, so its denominator can differ. The hourly and daily figures describe separate ratios. Their relationship follows those baselines, rather than a rule that the longer period must always show the larger percentage.
Period changes and rates of change
A percentage over an interval describes the change across that interval; it does not describe a constant speed. Extending an hourly figure across a day would require assumptions about subsequent prices. Simple multiplication also misses compounding when consecutive intervals use successive starting prices. The daily figure answers its own endpoint comparison directly.
Bubble settings determine which metric the chart emphasizes
Cryptobubbles lets users configure bubble size, color, and content. A performance setting maps the selected price change to a bubble property, while market capitalization or trading volume answers a different question. Changing the timeframe can alter the performance reading without making every visual property represent that same interval.
The configured metric determines what a large bubble means. When size represents market capitalization, its area does not directly rank the selected period's price gains. When a visual property represents performance, the relevant interval supplies its comparison horizon. The sortable list provides numerical performance columns, which help distinguish a changed percentage from a change in visual emphasis. A watchlist changes the comparison group; it does not change what an hour or a day means.
The quote currency and return basis determine the comparison
Price histories need a common quote currency before their changes support a consistent comparison. Cryptobubbles supports fiat and cryptocurrency-denominated views. A currency selection identifies how a quoted price is expressed, while the calculation basis determines what a percentage measures. These meanings need to remain consistent across the intervals under comparison.
When a return uses another cryptocurrency as its quote unit, it measures relative price performance against that asset. That relationship can differ from performance in a fiat currency because the quote asset also moves. Converting only the displayed price does not, by itself, establish that a percentage uses the converted basis. Keeping the price denomination and return basis distinct avoids attributing a currency effect solely to a timeframe change.
Coin charts reveal movements between the endpoints
A coin chart shows the price path within its selected history. An interval percentage compresses that path into a comparison between endpoints.
The app's version 3.0 coin detail view includes price charts across 1H, 4H, 1D, 1W, 1M, and 1Y timeframes. Similar net changes can accompany different price paths. One path can contain repeated reversals, while another moves more steadily between its endpoints. The percentage alone does not measure those fluctuations. A broader chart can also place a recent move beside earlier price levels. The visible history supplies that context, whereas the return supplies the relative change between the selected starting and ending prices.
Observation timing affects comparisons between snapshots
Two snapshots can differ even when they display the same timeframe label, because their observation times differ. A live view and an earlier screenshot need not share the same ending price. Cryptobubbles updates market data, so a label that remains unchanged does not make the underlying figure a fixed historical record.
The treatment of the starting point also matters. A rolling lookback moves its earlier endpoint as time advances. A calendar-period comparison begins at a fixed calendar boundary. Those definitions can produce different changes from the same latest price. A duration label alone does not establish a local-midnight reset or identify the precise historical sample that a calculation uses.
Comparisons between a bubble, a numerical column, and a coin chart require matching measurement periods and price bases. An apparent discrepancy can involve different endpoints or observations. The displayed label and available time information determine whether the figures actually describe the same interval. A disagreement between unmatched snapshots does not establish a calculation error.
Longer horizons change the question being answered
A longer period combines more intervening price movement into one net figure. A positive year change can contain shorter declines, just as a positive hour can sit within a negative day.
Neither matching signs across intervals nor a strong longer-period return explains the cause of a price move. A timeframe supplies duration, and a percentage supplies relative endpoint change. For a question about recent direction, the shorter interval answers more directly. For a question about the broader price path, the longer chart supplies context that an isolated hourly percentage cannot show.
Cryptobubbles timeframes questions, answered
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Can I add the hourly and daily percentages in Cryptobubbles?
- Adding hourly and daily percentages does not produce a meaningful combined return. When both intervals end at the same observation, the daily period already includes the recent hour. Their starting prices also differ. Returns across consecutive, non-overlapping periods require compounding; overlapping lookbacks cannot serve as consecutive components.
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Does the 1Y timeframe mean year-to-date performance?
- A year-long lookback and year-to-date performance use different starting dates. Year-to-date begins at the start of the calendar year, while a year-long lookback reaches back from its ending point. A 1Y duration label should not be read as a year-to-date label; the comparison's actual starting date distinguishes the measures.
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Is a monthly timeframe percentage an annualized return?
- A monthly price change describes movement over its own comparison period, while an annualized return expresses a growth rate on a yearly basis. Converting between them requires a calculation and assumptions about repetition or compounding. The monthly timeframe does not make those assumptions or predict the following months.
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What does an unavailable yearly change mean for a timeframe comparison?
- An unavailable yearly change leaves that comparison unresolved; it does not establish an unchanged price. Calculating the change requires suitable starting and ending prices across the requested interval. A recent price can exist without enough comparable history for the longer period, so a shorter return cannot fill the missing yearly value.
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Why can a calculation using displayed prices differ from the shown percentage?
- Rounding can make a calculation from displayed prices differ from one that uses more precise values. The formula divides by the starting price, so rounding either endpoint can affect the result. Different observation times or starting points can also create a discrepancy. The visible numbers need a matching basis before they support an exact reconstruction.
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How does the daily price change differ from 24-hour trading volume?
- Daily price change measures a price difference relative to its starting price, while 24-hour trading volume measures reported trading activity over a period. A percentage and a traded amount describe different quantities, even when their durations align. Selecting a daily performance view does not make volume another expression of that return.
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