{
  "schema": "https://kartavya-jharwal.github.io/ganet-project-bwc/data/site-summary.json",
  "version": "1.1",
  "generated_at": "2026-06-22",
  "site": {
    "name": "Adaptive Efficiency",
    "alternate_name": "Team BWC CHL-0200 Post-Mortem",
    "tagline": "Adaptive Efficiency",
    "maintainer_name": "Kartavya Jharwal",
    "maintainer_url": "https://kartavya.tech",
    "repository": "https://github.com/Kartavya-Jharwal/ganet-project-bwc",
    "commits_url": "https://github.com/Kartavya-Jharwal/ganet-project-bwc/commits/main",
    "url": "https://kartavya-jharwal.github.io/ganet-project-bwc/",
    "type": "static_archive",
    "course": "CHL-0200",
    "team": "BWC",
    "trading_window": "2026-02-02 to 2026-04-11",
    "freeze_date": "2026-05-01",
    "license": "MIT",
    "maintainer": {
      "name": "Kartavya Jharwal",
      "url": "https://kartavya.tech",
      "github": "https://github.com/Kartavya-Jharwal/ganet-project-bwc"
    },
    "disclaimer": "Not an official Hult publication. Presentation edited. Site layout and quant documentation AI-assisted. Graded marks from Excel close and filed memo only.",
    "keywords": [
      "Adaptive Efficiency",
      "Kartavya Jharwal",
      "kartavya",
      "finance project",
      "investment challenge",
      "investment challenge case study",
      "mock investment",
      "trading project",
      "paper trading desk",
      "Python risk auditing",
      "Team BWC",
      "CHL-0200"
    ]
  },
  "desk_graded": {
    "source": "Excel close 2026-04-11",
    "initial_capital_usd": 1000000,
    "final_value_usd": 956280,
    "total_return_pct": -4.37,
    "vs_spy_excess_pct": -2.08,
    "spy_return_pct": -2.29,
    "trough_date": "2026-04-02",
    "trough_desk_pct": -6.44,
    "trough_spy_pct": -11.72,
    "trough_excess_pp": 5.28,
    "win_rate_pct": 28.57,
    "portfolio_beta_close": 0.63,
    "note": "Trough outperformance is scoped to Apr 2 only. It does not vindicate negative Sharpe, Sortino, or expectancy on the term."
  },
  "faculty_score": {
    "total": 422,
    "max": 430,
    "categories": {
      "architecture_logs": "147/150",
      "strategy_final_report": "118/120",
      "client_presentation_post_mortem": "118/120",
      "peer_eval_leadership": "39/40"
    }
  },
  "overlay_audit": {
    "description": "Python backtest and stress-test layer. Not the graded desk book",
    "metrics_url": "./full-metrics.json",
    "repo_path": "quant_monitor/",
    "warning": "Do not compare overlay returns side-by-side with desk returns without explicit context"
  },
  "artifacts": {
    "manifest": "./deliverables-manifest.json",
    "commit_log": "./commit-log.json",
    "post_mortem_pdf": "../assets/post-mortem.pdf",
    "engineering_docs": "../docs/index.html"
  },
  "anchors": {
    "summary": "#summary",
    "executive_summary": "#executive-summary",
    "sources": "#sources",
    "brief": "#context",
    "story": "#story",
    "desk_results": "#evidence",
    "research": "#research",
    "stack": "#stack",
    "faculty": "#evaluation",
    "principles": "#principles",
    "team": "#team-roster",
    "contact": "#contact"
  },
  "agent_index": "https://kartavya-jharwal.github.io/ganet-project-bwc/llms.txt"
}