Collators aggregate parachain transactions block candidates and producing state transition proofs for validators based on those blocks.

Acala is a specialized stablecoin and liquidity blockchain powered by Polkadot Relay chain.

ACA holders own and govern the protocol. Acala’s investors include Pantera Capital, Coinbase Ventures, and Polychain Capital.

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Acala Network

# Acala Network Token holders Methodology

## 1. Overview

Token holders measures the number of unique addresses on Acala Substrate that hold a non-zero balance of the native asset. This metric is utilized by investors to monitor the expansion and distribution of the asset’s holder base over time. Growth in the number of unique addresses is interpreted as a primary indicator of network adoption and ecosystem health.

## 2. Data sources

- **Blockchain events**: `NewAccount` and `KilledAccount` events from Acala Substrate

## 3. Step-by-step calculation

### Component A: Account lifecycle event extraction

- **Purpose**: Identify the initialization and removal of unique addresses on the network.
- **Logic**: `NewAccount` and `KilledAccount` events are parsed from the network logs. Each `NewAccount` event is assigned a value of 1, representing a new unique holder. Each `KilledAccount` event is assigned a value of -1, representing an address whose balance has reached zero or the existential deposit threshold, resulting in its removal from the active set.
- **Key fields**: `event_method` (event identification), `block_timestamp` (timing)

### Component B: Daily change aggregation and cumulative tracking

- **Purpose**: Compute the net change in holders and the total running count.
- **Logic**: Net changes are aggregated by day by summing the incremental and decremental values derived from account events. A cumulative sum is then applied across the historical time series to calculate the total number of unique holders for each day. For days without recorded event activity, values are forward-filled from the previous day to maintain a continuous data series.
- **Key fields**: `daily_change` (net daily additions/subtractions), `tokenholders` (cumulative running total)

### Component C: Normalization and filtering

- **Purpose**: Ensure data consistency and validity for the final output.
- **Logic**: Cumulative totals are filtered to ensure only positive, non-zero values are reported. The data is cast to standardized numeric types and associated with the daily timestamp grain. Chain-level availability filters are applied to ensure data is only presented for periods where network indexing is verified as complete and accurate.

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Unique addresses holding a non-zero balance of the project's native token.

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