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Measuring BNB Holder Growth, Supply Distribution, and On-Chain Activity

Article Amberdata research

Summary

This article demonstrates ways to analyze an Ethereum token using address and token-holder data, illustrated with Binance Coin (BNB) around its second anniversary in 2019. It examines holder counts and historical changes in holders and supply, estimates holdings across holder groups, and measures concentration by calculating each holder's share of available supply above token or dollar thresholds. It also proposes mapping the other priced tokens held by BNB addresses to explore overlap in token ownership. The article includes example data queries and describes aggregating holder-level records to answer these questions.

The reported historical observations include a large increase in holder count on one date and relatively steady holdings afterward, but the piece does not test whether these measures predict trading returns or token demand. Holder counts and balances alone can be misleading: addresses are not necessarily unique people, and pricing filters do not prove that an asset is liquid or legitimate. The analysis is a descriptive snapshot of one token using data available at the time, with API access and processing requirements that may limit replication.

Key ideas

  • Holder counts and historical supply records can describe the growth and distribution of a token.
  • Holder concentration can be estimated by comparing each address's balance with total available supply.
  • Filtering holders by balance or dollar-value thresholds helps examine large-holder concentration.
  • Mapping other priced tokens held by the same addresses can reveal ownership overlap.
  • Address-level data is descriptive and does not prove unique ownership, liquidity, or return predictability.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.