{
  "schema_version": "1.0.0",
  "subject_id": "biased",
  "as_of": "2026-07-15",
  "horizon_days": 252,
  "market_context": {
    "n_names": 5,
    "book_type": "long_only_single_book",
    "data_source": "synthetic_phase1_phase2",
    "seed": 42
  },
  "metrics": {
    "disposition": {
      "PGR": 0.0462,
      "PLR": 0.0,
      "disposition_ratio": null,
      "disposition_ratio_label": "inf",
      "disposition_gap": 0.0462,
      "RG": 12,
      "PG": 248,
      "RL": 0,
      "PL": 508
    },
    "overconfidence": {
      "turnover_approx_ann": 6.2747,
      "turnover_velocity": "High",
      "sharpe_ann": 1.1269,
      "n_trades": 129
    },
    "anchoring": {
      "underwater_day_share": 0.6342,
      "sell_below_cost_rate": 0.0,
      "mean_underwater_pnl_pct": -6.754,
      "open_position_days": 801,
      "underwater_days": 508,
      "n_sells": 49,
      "sells_below_cost": 0
    },
    "performance": {
      "final_equity": 1105184.75,
      "total_return_pct": 10.518
    }
  },
  "flags": {
    "disposition": true,
    "overconfidence": true,
    "anchoring": true,
    "any_bias": true
  },
  "severity": {
    "level": "severe",
    "primary_biases": [
      "disposition",
      "overconfidence",
      "anchoring"
    ],
    "summary_codes": [
      "DISP_PGR_GT_PLR",
      "OC_EXCESS_TURNOVER",
      "ANCHOR_COST_BASIS"
    ],
    "n_biases_flagged": 3
  },
  "coach_input": {
    "instruction": "Diagnose the following portfolio metrics and provide a strict risk-management intervention. Cite the quantitative fields provided. Do not invent metrics.",
    "input_metrics": {
      "PGR": 0.0462,
      "PLR": 0.0,
      "disposition_ratio": "inf",
      "disposition_flag": true,
      "turnover_approx_ann": 6.2747,
      "turnover_velocity": "High",
      "sharpe_ann": 1.1269,
      "overconfidence_flag": true,
      "underwater_day_share": 0.6342,
      "sell_below_cost_rate": 0.0,
      "anchoring_flag": true,
      "total_return_pct": 10.518,
      "market_state": "Synthetic single-path (GBM + event shocks)"
    }
  },
  "provenance": {
    "pipeline": [
      "phase1_generate_market",
      "phase2_run_traders",
      "phase3_evaluate_biases",
      "phase4_build_scorecard"
    ],
    "source_scorecard_row_trader": "biased",
    "notes": "Deterministic metrics only; flags from Phase 3 evaluator thresholds."
  }
}