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What Log Scale Shows on a Long-Run Token Chart

A log scale gives equal visual space to equal percentage moves, helping readers compare a token’s long-run path across very different price levels.

By Crypto Readout Editorial2 min read#fd1981

Cover artwork for What Log Scale Shows on a Long-Run Token Chart

Check the scale before reading a long-run token chart: a logarithmic axis shows equal percentage moves as equal vertical distances. The chart places prices according to their logarithms, so each step up represents a ratio rather than a fixed number of dollars. This makes it easier to compare changes when a token’s price has moved through very different ranges.

For example, a rise from $1 to $2 and a rise from $10 to $20 are both 100% increases, so they occupy the same height on a log chart. On a linear chart, both moves add one dollar, so they have the same height for a different reason. A guide to using Poocoin charts for BNB Chain tokens and wallets covers chart controls in more detail. For a long time span, the scale setting changes how the price path looks.

How does a logarithmic token chart work?

A logarithmic chart spaces prices by their relative change, while a linear chart spaces them by their absolute change. On a linear axis, the distance from $1 to $2 matches the distance from $10 to $11. On a log axis, the distance from $1 to $2 matches the distance from $10 to $20, because each move doubles the price.

The candles still show the same open, high, low and close prices. The scale only changes where those prices sit vertically. Think of it as changing a map’s scale: the places stay the same, but the spacing changes to make a different pattern easier to see.

Why use log scale for a long-run token chart?

Log scale makes percentage growth easier to compare across the full chart. A sharp move at a low price can take up substantial space, while a much larger dollar move at a higher price may represent the same percentage change. On a linear chart, early price moves can look compressed once later prices rise far above them.

This is useful for judging the shape of a token’s price history: whether gains or losses accelerated in percentage terms, and how large swings compare across periods. It does not show whether the token’s market value or circulating supply changed in the same way. Price is only one part of that picture.

When should you choose linear or log scale?

Choose the scale that matches the question you are asking. Log is usually more revealing for a multi-year view with a wide price range; linear is clearer when you want to compare absolute price changes over a narrower range.

  • Use log to compare percentage moves across different price levels.
  • Use linear to compare dollar changes over a short or tightly grouped range.
  • Check the axis labels before interpreting the steepness of a rise or fall.
  • Keep the same scale when comparing charts, or the visual comparison can mislead.

Neither scale changes the underlying prices. For a long-run view, log scale often gives the more useful picture of relative growth, while linear scale answers questions about absolute movement. Check the axis first, then read the chart.