Fee Growth (30d vs Prior 30d)
The percentage change in user-paid fees between the last thirty days and the thirty days before that.
This compares two adjacent one-month windows built with the same adapter, which removes most definitional noise and isolates the change in fee payments. It is the simplest way to see whether demand for a protocol's blockspace or services is expanding or contracting. It is a comparison of two totals, not a trend line, so it says nothing about the path between them.
计算方式
(protocol fees over the last 30 days / protocol fees over the 30 days before that - 1) x 100
易产生误导之处
Because both windows are measured in US dollars, a token price move changes this number even when transaction counts are identical: a chain whose native token halved can print falling fees on rising usage. Young or small protocols have tiny denominators, so an ordinary week produces percentages in the hundreds that carry almost no information. Incentive campaigns, airdrop farming seasons and a single congested week lift the recent window and guarantee a negative reading once they end, which is a calendar effect rather than deterioration. Retroactive adapter revisions change both windows after publication, and a protocol that added a new chain deployment mid-period shows growth that is coverage, not demand.
与股权的类比,以及为何该类比不成立
Revenue growth. The analogy fails because reported corporate revenue growth is currency-adjusted and audited against a stable definition, while this figure mixes activity, token price and adapter scope in one percentage.
如何解读高值或低值
A positive value means more was paid in fees over the recent month than the month before, and a negative value the reverse. Check whether the token price moved over the same period before attributing the change to usage.
本站覆盖范围内的最高值
仅按数值排序。这不是质量排名,不含任何观点。
| # | 资产 | Fee Growth (30d vs Prior 30d) |
|---|---|---|
| 1 |
|
17,141.38% |
| 2 |
|
5,790.23% |
| 3 |
|
5,215.77% |
| 4 |
|
2,987.35% |
| 5 |
|
1,803.84% |
| 6 |
|
1,538.10% |
| 7 |
|
485.19% |
| 8 |
|
457.55% |
| 9 |
|
421.50% |
| 10 |
|
312.64% |
| 11 |
|
307.50% |
| 12 |
|
293.21% |
| 13 |
|
292.42% |
| 14 |
|
269.84% |
| 15 |
|
246.38% |