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

Heima is a specialized identity and data verification blockchain powered by Polkadot Relay chain.

HEI holders own and govern the protocol. Heima’s investors include LD Capital, Digital Renaissance, Signum Capital, and others.

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Heima

# Heima Token holders Methodology

## 1. Overview

The Heima tokenholders metric measures the total number of unique addresses holding LIT tokens (Heima's native token) at the end of each day. This metric provides insight into token distribution and adoption by tracking how many distinct wallet addresses maintain a positive balance of LIT tokens over time.

## 2. Data sources

- **Blockchain events**: Parsed ERC20 `Transfer` events from the Ethereum blockchain for Heima (LIT) token contracts
- **Token metadata**: Heima token contract addresses and decimal precision information
- **Transaction data**: Ethereum transaction records containing token transfer details
- **Timestamp data**: Daily boundary definitions for consistent time-based aggregation
- **Chain availability data**: Ethereum blockchain data availability and quality validation information

## 3. Step-by-step calculation

### Component A: Token transfer processing
- **Purpose**: Process raw ERC20 transfer events to track LIT token movements between addresses
- **Logic**: Extract all `Transfer` events for Heima token contracts from Ethereum blockchain data. Each transfer event contains a `from_address`, `to_address`, and `value` (token amount). Parse these events to create a chronological record of all token movements, applying proper decimal corrections based on the token's precision (typically 18 decimals for ERC20 tokens).
- **Key fields**: `from_address` and `to_address` (wallet addresses), `value` (transfer amount), `block_timestamp` (when the transfer occurred), `transaction_hash` (unique transaction identifier)

### Component B: Balance calculation
- **Purpose**: Calculate running token balances for each unique address
- **Logic**: For each address, sum all incoming transfers (where the address is the `to_address`) and subtract all outgoing transfers (where the address is the `from_address`). This creates a running balance for each address over time. Handle special cases like minting (transfers from zero address) and burning (transfers to zero address) appropriately.
- **Key fields**: `address` (wallet address), `balance` (current token holdings), `last_updated` (timestamp of most recent balance change)

### Component C: Daily tokenholders snapshot
- **Purpose**: Count unique addresses with positive token balances for each day
- **Logic**: For each day, identify all addresses that have a positive (non-zero) LIT token balance at the end of that day. Apply daily timestamp boundaries to ensure consistent daily snapshots. Filter out addresses with zero or negative balances, as these do not represent active tokenholders.
- **Key fields**: `timestamp` (daily boundary), `timestamp_grain` (aggregation level), `chain_id` (blockchain identifier), `tokenholders` (count of unique addresses)

### Final aggregation
- **Combining components**: The daily tokenholders count represents the final metric value, calculated as the distinct count of addresses with positive LIT token balances
- **Currency conversion**: No currency conversion required as this is a count metric, not a value-based metric
- **Time aggregation**: Data is aggregated to daily boundaries using consistent timestamp grain logic to ensure uniform time series data
- **Final calculation**: The final metric value is the count of unique addresses holding LIT tokens at the end of each day, with chain availability filtering applied to ensure data quality and completeness

*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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Token holders

Token holders

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