Basic data tracking function

Basic data tracking function

Aurora AI will aggregate various token, transfer, and transaction data across the Spark ecosystem, presenting it through visual dashboards and conducting advanced behavioral analytics. The data encompasses the following key areas:

Market Data

• Market Capitalization: Real-time calculation based on circulating supply and current market price

• 24-Hour Trading Volume: Total transaction volume across all supported exchanges

• Price Performance: Historical price charts with configurable timeframes (1H, 24H, 7D, 30D, 1Y)

Holder Analytics

• Total Holder Count: Number of unique addresses holding each LRC-20 token

• Holder Distribution: Breakdown of holdings by percentage ranges (whales, large holders, retail)

• Active Holders: Addresses with recent transaction activity within specified timeframes

• Holder Concentration: Percentage of total supply held by top 10, 50, 100 holders

Transaction Metrics

• Daily Active Transactions: Number of transfers, mints, and burns per 24-hour period

• Transaction Value: Total value transferred in USD and native token amounts

• Average Transaction Size: Mean value per transaction across different holder segments

Supply Dynamics

• Circulating Supply: Tokens currently available for trading

• Total Supply: The Maximum number of tokens that can exist

Advanced Analytics

• Velocity Metrics: How frequently tokens change hands within specific periods

• HODLer Patterns: Long-term holding behavior analysis