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General Wallets Analysis

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General Wallet Analysis

Focuses on individual wallet behavior performance across tokens, timing, profitability, and behavior-based scoring. Treats the wallet as a signal source similar to a KOL.

Kaizen applies statistical analysis across the wallet’s historical data to ensure patterns are reliable and not based on outliers.

Metrics like average X, dump rate, and trade frequency are normalized, and extreme performers are evaluated both with and without top trades to detect inflated returns.

This makes the wallet scoring more trustworthy and consistent.

Scoring Framework

Each wallet is assigned a score from 0–100 based on:

  • Performance (PnL, Xs achieved, win rate)

  • Risk Profile (entry/exit timing, hold length, volatility)

  • Market Quality (tokens selected, slippage, tax, liquidity)

  • Consistency (trade frequency, success rate over time)

  • Influence (copy behavior by other wallets)

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Buy/Sell Behavior Analysis

  • Entry behavior: Token bought, Amount ($ and %), time entered etc

  • Exit behavior: exit synchronicity, first sell %, hold duration

  • PnL trend: realized and unrealized across all tracked tokens

  • Behavior classification: sniper, swing, rotation, diamond hands

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Wallet Portfolio Metrics

  • Current holdings, past positions, realized vs floating PnL

  • Avg entry marketcap, liquidity exposure, sector breakdown

  • Token diversification, correlation across portfolio

  • Equity growth curve over time

Wallet Follower Mapping

  • Detects other wallets that follow this wallet consistently

  • Uses time of entry overlap, token match %, hold behavior

  • Outputs: wallet follower score, copy network size, total follower buy power

  • Enables creation of community-level wallet networks (similar to KOLs)

  • Scoring Framework

  • Buy/Sell Behavior Analysis

  • Wallet Portfolio Metrics

  • Wallet Follower Mapping

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