Amount of Holders Metrics

Definition

The Amount of Holders Metric quantifies the number of distinct addresses holding a token across predefined balance intervals, offering insight into ownership distribution. This analysis aids in evaluating decentralization levels and understanding the diversity of holders within the ecosystem.

Amount of Holders Metrics:

• holders_distribution_<interval> - The number of addresses holding tokens within a specified balance interval
• percent_of_holders_distribution_<interval> - The percentage of addresses within a specified balance interval
• holders_distribution_over_<threshold> - The number of addresses with balances exceeding a specified balance threshold

Supply Distribution (by number of addresses) Bitcoin Chart

Additionally, the above metrics can only be calculated for active holders - holders who have moved coins in the past year. To include only active holders add active_ prefix (for example: active_holders_distribution_<interval>)

Access

Free Access

Measuring Unit

• holders_distribution_<interval> and holders_distribution_over_<threshold> - Number of addresses
• percent_of_holders_distribution_<interval> - Percentage

Data Type

Timeseries Data

Frequency

Daily Intervals

Latency

On-Chain Latency

Available Assets

Available for these assets

Note: All of the metrics are available for the same set of assets.

API

Holders distribution metrics: <active_>holders_distribution_<interval>

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{
  getMetric(metric: "holders_distribution_1_to_10") {
    timeseriesData(
      slug: "santiment"
      from: "2020-01-01T00:00:00Z"
      to: "2020-01-07T00:00:00Z"
      interval: "1d"
    ) {
      datetime
      value
    }
  }
}

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Percent of holders distribution metrics: <active_>percent_of_holders_distribution_<interval>

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{
  getMetric(metric: "percent_of_holders_distribution_10k_to_100k") {
    timeseriesData(
      slug: "santiment"
      from: "2020-01-01T00:00:00Z"
      to: "2020-01-07T00:00:00Z"
      interval: "1d"
    ) {
      datetime
      value
    }
  }
}

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Holders distribution over metrics: <active_>holders_distribution_over_<interval>

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{
  getMetric(metric: "active_holders_distribution_over_1k") {
    timeseriesData(
      slug: "santiment"
      from: "2020-01-01T00:00:00Z"
      to: "2020-01-07T00:00:00Z"
      interval: "1d"
    ) {
      datetime
      value
    }
  }
}

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Full list of metrics

Amount of holders metrics

Amount of active holders metrics