Preliminary AI Wallet Scoring
Before a wallet enters the community voting layer, RankChain’s AI engine performs an initial, data-driven evaluation of its on-chain behavior. This preliminary scoring is designed to identify high-efficiency actors based on clear, quantifiable signals — laying the groundwork for deeper community verification.
The AI model applies five core criteria to assess each address:
Transaction Frequency: Measures how often a wallet transacts, swaps, mints, or interacts across chains. While activity is important, higher frequency is not always better — this metric serves as a counterweight in the scoring logic.
Profitability Performance: Evaluates the wallet’s realized and unrealized gains over time. A strong ROI, especially during volatile market conditions, indicates effective strategy and decision-making.
Portfolio Diversity: Assesses the range of tokens and sectors a wallet engages with. A diversified position across DeFi, NFTs, and tokens can reflect strategic awareness and reduced overexposure.
Protocol Interaction Depth: Tracks how actively and meaningfully the wallet engages with smart contracts — including staking, farming, lending, bridging, and governance. More complex interactions suggest a higher sophistication level.
KOL Attention Index: Analyzes how closely the wallet's behavior aligns with or precedes movements by publicly mapped Key Opinion Leaders. If a wallet is often echoed or followed, its influence score increases.
Notably, transaction frequency is inversely weighted against the other four factors. A wallet with low trade volume but high profitability, diverse holdings, deep protocol use, and high KOL correlation is considered high-efficiency — a “sniper” profile with high precision and low noise. Conversely, a wallet with high activity but weak performance across the other dimensions will receive a lower efficiency score.
This nuanced scoring logic allows RankChain to distinguish between signal-rich and signal-noisy wallets, ensuring that only the most behaviorally sound addresses advance to the community scoring phase.
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