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Update learning model after Run BankrBot#3
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Lines changed: 27 additions & 27 deletions

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Simulate/performance.json

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{
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"runs": 2,
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"runs": 3,
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"last_run": "2026-02-04",
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"chain": "base",
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"risk_profile": "degen",
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"capital": {
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"starting": 10000,
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"current": 10972,
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"pnl_percent": 9.7
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"current": 12084,
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"pnl_percent": 20.8
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},
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"performance": {
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"win_rate": 0.60,
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"max_drawdown": 0.014,
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"avg_trade_return": 0.19,
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"trades": 5,
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"wins": 3,
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"win_rate": 0.666,
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"max_drawdown": 0.013,
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"avg_trade_return": 0.26,
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"trades": 6,
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"wins": 4,
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"losses": 2
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},
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"strategy_weights": {
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"smart_money_score": 0.40,
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"smart_money_score": 0.45,
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"liquidity_growth": 0.20,
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"rug_safety": 0.20,
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"developer_reputation": 0.10,
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"social_velocity": 0.05,
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"holder_growth": 0.05
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"developer_reputation": 0.08,
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"social_velocity": 0.04,
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"holder_growth": 0.03
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},
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"risk_adjustments": {
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"dev_wallet_selling_penalty": 1.35,
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"liquidity_removal_penalty": 1.20,
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"insider_cluster_penalty": 1.20
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"dev_wallet_selling_penalty": 1.45,
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"liquidity_removal_penalty": 1.25,
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"insider_cluster_penalty": 1.30
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},
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"learning": {
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"what_worked": [
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"Smart money inflow predicted $CLAW and $BOLT correctly",
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"Liquidity growth filter avoided weak tokens",
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"Rug detector prevented catastrophic loss on scam tokens"
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"Smart money clustering predicted $BOLT breakout",
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"Liquidity growth confirmed momentum early",
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"Wallet Intelligence reduced downside risk"
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],
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"what_failed": [
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"Insider exits still caused small losses on $ZYN"
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"Partial insider exits still cause minor losses"
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],
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"logic_updates": [
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"Increase smart money weighting",
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"Increase insider exit penalty",
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"Stricter rug safety requirement"
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"Increase insider cluster penalty",
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"Reduce allocation on first red liquidity candle"
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]
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},
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"next_run_plan": {
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"min_wallet_score": 80,
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"max_rug_risk": 20,
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"min_wallet_score": 85,
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"max_rug_risk": 15,
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"prefer_tokens_with": [
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"smart_money_inflow",
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"liquidity_growth",
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"low developer activity",
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"no insider clusters"
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"strong smart money inflow",
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"accelerating liquidity",
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"no insider clusters",
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"low developer activity"
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]
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}
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}

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