Validators process transactions and receive fees from users (supply-side fees).

Algorand is a smart contract platform for decentralized applications (a blockchain). Algorand was founded by Silvio Micali and launched in 2018.

ALGO holders own and govern the protocol. They currently take a cut of the transaction fees paid by users (revenue). Algorand's investors include Union Square Ventures, Multicoin Capital, Pillar, etc.

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# Algorand Transaction count Methodology

## 1. Overview

Transaction count measures the number of confirmed transactions added to the Algorand blockchain. This metric reflects the level of activity and engagement on the network, capturing all ledger updates including asset transfers, application calls, and configuration changes. It serves as a primary indicator of the protocol's utilization and throughput over time.

## 2. Data sources

- **Blockchain events**: Confirmed transactions from the Algorand blockchain
- **External data**: Asset metadata for chain and data identification

## 3. Step-by-step calculation

### Component A: Transaction extraction and de-duplication

- **Purpose**: To identify and quantify unique transaction activity on the network.
- **Logic**: Unique transaction identifiers are extracted from the Algorand ledger. A distinct count is performed on these identifiers to ensure that each confirmed transaction is represented exactly once, preventing the double-counting of multi-stage operations or ledger effects.
- **Key fields**: `transaction_id` (unique identifier), `block_timestamp` (timing)

### Component B: Temporal aggregation and normalization

- **Purpose**: To format the data into a standardized daily time series.
- **Logic**: Transaction timestamps are truncated to daily granularity using UTC boundaries. The resulting counts are cast to a standardized numeric format to ensure mathematical precision. A zero-filling strategy is applied to the time series to ensure that any days without recorded activity are explicitly represented with a value of zero.
- **Key fields**: `block_timestamp` (daily truncation), `transaction_count` (aggregated sum)

### Component C: Validation and filtering

- **Purpose**: To ensure data integrity and alignment with platform standards.
- **Logic**: Data is filtered against a registry of valid chain and data identifiers. Freshness checks are applied to the final dataset to ensure that only approved and finalized block data is presented, with historical data for archived segments maintained up to their respective retirement dates.
- **Key fields**: `chain_id`, `data_id`, `last_approved_timestamp`

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

Confirmed transactions added to the blockchain.

AlgorandALGO

Transaction count

Transaction count

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