Measuring Wallet Behavior
Not traits. Not tags. Actionable behavior, measured in real time.
WalletDNA replaces static labels and shallow metrics with quantitative, behavior-based scoring—built purely from observed on-chain activity, so wallets are judged by what they do, not just what they hold.
It scores each wallet using six core behavioral metrics:
Realized trading performance (execution quality)
Who trades well vs who trades poorly
Post-entry holding behavior
Who holds with conviction vs who exits early
Buy/sell volume initiated by wallet
Who influences liquidity vs who reacts to markets
Entry timing relative to token lifecycle
Who enters early vs who follows trends
Share of token supply held
Who holds significant positions vs who is negligible
Frequency of swap initiation over time
Who is consistently active vs who is sporadic or inactive
WalletDNA starts by analyzing each wallet’s behavior on a per-token basis, producing a HolderDNA for every token a wallet interacts with. This ensures all metrics are context-aware, reflecting the wallet’s role within each specific token ecosystem rather than applying blunt, global averages.
WalletDNA, then, aggregates these HolderDNA scores into a comprehensive wallet-level profile. This roll-up uses relevance-based weighting — for example, SellFlow-weighted IQ — so that tokens where a wallet has greater influence contribute more to the final WalletDNA.
The result is a multidimensional profile that highlights what truly matters about a wallet’s behavior, not just a summary of its raw activity.
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