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        "Sideways",
        "Bear",
        "Strong bear",
        "Volatility up",
        "Volatility down"
      ],
      "strategy": [
        0.010196723338422564,
        0.00029355349559910467,
        -0.003233263736237002,
        null,
        null,
        0.010239500252640095,
        0.002768023248883952
      ],
      "spy": [
        0.014649829378373821,
        0.010864319739782401,
        -0.024940043919813106,
        null,
        null,
        0.026031378932542155,
        -0.008584620150940787
      ]
    }
  },
  "tools": [
    {
      "id": "strategy_report",
      "title": "Strategy report",
      "href": "../strategies/dms-triad.html",
      "status": "ok",
      "note": "Equity, allocations, and replication metrics."
    },
    {
      "id": "quantstats",
      "title": "QuantStats tearsheet",
      "href": "../tearsheets/strategies/dms-triad.html",
      "status": "ok",
      "note": "Full QuantStats HTML from the same monthly ours path."
    },
    {
      "id": "paper_to_profit",
      "title": "Paper to Profit robustness",
      "href": "https://papertoprofit.substack.com/t/tutorials",
      "status": "ok",
      "note": "t-test vs zero and SPY, overlapping-block bootstrap, rolling OLS alpha decay, 70/30 stability, extra-bps cost grid, return-space noise, and seven SPY regimes. Walk-forward parameter search is not estimable on this catalog snapshot."
    }
  ],
  "writeup": {
    "verdict": "Triad (DMS) receives a research grade of F (composite 44 / 100) on Paper-to-Profit robustness tests run against published monthly ours versus SPY. On these tests the published path does not currently support a constructive allocation case.",
    "edge": "The path makes money vs zero (p=0.000) but is not a significant edge versus SPY (p=0.073, excess -0.45% per month). Same failure mode as a strategy that only rides beta.",
    "bootstrap": "Block bootstrap of consecutive months (400 paths): P(beat SPY) over 6.0 months is 26%; over 24.0 months is 12%. This is the Paper-to-Profit 'realistic path' test, not a reshuffled iid sample.",
    "persistence": "4% of 12-month OLS windows have a significantly positive slope and 62% are significantly negative. Terminal strategy/SPY wealth ratio is 0.49. A steadily rising log-relative-wealth line is the decay test from the tutorial; a late collapse is a warning.",
    "stability": "70/30 OOS/IS Sharpe ratio is 1.02; second/first-half Sharpe ratio is 1.23. Walk-forward parameter search is not estimable on a frozen catalog snapshot; this split is the overfit proxy. Return-space noise did not halve Sharpe on the tested grid.",
    "cost": "Average daily turnover is 1.194%. Additional one-way costs through 24 bps did not cut Sharpe in half. That is the tutorial's cost-robust case.",
    "regimes": "The path beats SPY in 11% of classified months (2.0/5.0 regimes). In bear/strong-bear/vol-down months it beats SPY 100% of the time. Crisis windows: COVID crash: strategy -2.8% vs SPY -19.4%; 2022 inflation shock: strategy -1.3% vs SPY -23.9%.",
    "headline": "Published CAGR 8.69% / Sharpe 1.11 / max DD -9.7% over 182 months. Those headline stats are context only; the grade is the robustness tests above.",
    "limitations": "Tests use published monthly ours, already lagged one bar in the engine, versus SPY. t-tests assume roughly comparable monthly means; Wilcoxon is shown as a non-normal check. Bootstrap paths are overlapping consecutive months (not iid reshuffles). Noise is added to monthly returns, not to OHLC, because this producer does not rerun backtests. Walk-forward parameter optimization, SPA, and PBO are not estimable without a trial ledger. Fee drag is extra one-way bps on catalog average daily turnover, on top of the published costed path."
  },
  "ranks": {
    "cagr": 32.17821782178218,
    "sharpe": 66.83168316831683,
    "score": 39.603960396039604
  },
  "generated_at": "2026-09-22T18:23:05Z"
}