stefan-jansen--machine-learning-for-trading/09_model_based_features/02_structural_breaks.ipynb

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    "# Structural Break Detection\n",
    "\n",
    "**Docker image**: `ml4t`\n",
    "\n",
    "This notebook demonstrates classical and ML-based methods for detecting\n",
    "structural breaks in financial time series.\n",
    "\n",
    "**Learning Objectives**:\n",
    "- Apply Zivot-Andrews and Bai-Perron tests for structural break detection\n",
    "- Implement CUSUM and MOSUM monitoring statistics for online break detection\n",
    "- Frame break detection as binary classification (ADIA Lab approach)\n",
    "- Build statistical features for break classification: location shift,\n",
    "  scale shift, distribution shift, dependence shift\n",
    "- Combine evidence across window sizes using Fisher aggregation\n",
    "\n",
    "**Book Reference**: Chapter 9, Section 9.1 (Diagnostics and Stationarity Features)\n",
    "\n",
    "**Prerequisites**: Complete `01_visual_diagnostics` for stationarity testing\n",
    "fundamentals. Familiarity with hypothesis testing."
   ]
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    "\"\"\"Structural Break Detection — classical tests and ML-based classification.\"\"\"\n",
    "\n",
    "import warnings\n",
    "from typing import Any\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "from datetime import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import polars as pl\n",
    "import ruptures as rpt\n",
    "from arch.unitroot import ZivotAndrews\n",
    "from IPython.display import display\n",
    "from lightgbm import LGBMClassifier\n",
    "from ml4t.engineer.features.statistics import (\n",
    "    coefficient_of_variation,\n",
    "    rolling_drift,\n",
    "    rolling_kl_divergence,\n",
    "    rolling_wasserstein,\n",
    ")\n",
    "from scipy import stats\n",
    "from scipy.spatial.distance import jensenshannon\n",
    "from sklearn.metrics import roc_auc_score, roc_curve\n",
    "from sklearn.model_selection import cross_val_predict, cross_val_score\n",
    "\n",
    "from data import load_etfs\n",
    "from utils.reproducibility import set_global_seeds"
   ]
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     "parameters"
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    "# Production defaults — Papermill injects overrides for CI\n",
    "START_DATE = \"2000-01-01\"\n",
    "END_DATE = \"2024-12-31\"\n",
    "SEED = 42"
   ]
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    "set_global_seeds(SEED)"
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   "source": [
    "## Load Data\n",
    "\n",
    "We use SPY for demonstrating break detection on real financial data,\n",
    "plus synthetic series for the ADIA Lab classification formulation."
   ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SPY: 4,781 observations (2006-01-03 to 2024-12-31)\n"
     ]
    }
   ],
   "source": [
    "etfs = load_etfs(symbols=[\"SPY\"])\n",
    "\n",
    "START = datetime.strptime(START_DATE, \"%Y-%m-%d\")\n",
    "END = datetime.strptime(END_DATE, \"%Y-%m-%d\")\n",
    "\n",
    "spy = (\n",
    "    etfs.filter((pl.col(\"timestamp\") >= START.date()) & (pl.col(\"timestamp\") <= END.date()))\n",
    "    .sort(\"timestamp\")\n",
    "    .select([\"timestamp\", \"close\"])\n",
    ")\n",
    "\n",
    "spy_pd = spy.to_pandas().set_index(\"timestamp\")\n",
    "spy_pd.index = pd.DatetimeIndex(spy_pd.index)\n",
    "spy_pd[\"returns\"] = np.log(spy_pd[\"close\"]).diff() * 100\n",
    "\n",
    "print(\n",
    "    f\"SPY: {len(spy_pd):,} observations ({spy_pd.index.min().date()} to {spy_pd.index.max().date()})\"\n",
    ")"
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   "source": [
    "# Part 1 — Classical Structural Break Tests\n",
    "\n",
    "These tests detect break points in level, trend, or volatility of a series.\n",
    "The results produce features: `za_break_detected`, `days_since_break`,\n",
    "`pre_break_mean`, `post_break_mean`."
   ]
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   "source": [
    "### Zivot-Andrews Test\n",
    "\n",
    "Tests for a unit root while allowing one endogenously determined structural\n",
    "break. Unlike standard ADF, it doesn't assume constant data generation\n",
    "throughout the sample."
   ]
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     "text": [
      "=== Zivot-Andrews Test: SPY Levels ===\n",
      "Statistic: -3.3955\n",
      "P-value: 0.8580\n",
      "5% critical: -5.0733\n",
      "Reject H0: False\n"
     ]
    }
   ],
   "source": [
    "def run_zivot_andrews(series: pd.Series, name: str) -> dict:\n",
    "    \"\"\"Run Zivot-Andrews test and return results with break location.\"\"\"\n",
    "    series = series.dropna()\n",
    "    za = ZivotAndrews(series, lags=12, trend=\"ct\", trim=0.15)\n",
    "\n",
    "    return {\n",
    "        \"series\": name,\n",
    "        \"za_stat\": za.stat,\n",
    "        \"za_pval\": za.pvalue,\n",
    "        \"critical_1pct\": za.critical_values[\"1%\"],\n",
    "        \"critical_5pct\": za.critical_values[\"5%\"],\n",
    "        \"reject_h0\": za.pvalue < 0.05,\n",
    "    }\n",
    "\n",
    "\n",
    "za_result = run_zivot_andrews(spy_pd[\"close\"], \"SPY Levels\")\n",
    "print(\"=== Zivot-Andrews Test: SPY Levels ===\")\n",
    "print(f\"Statistic: {za_result['za_stat']:.4f}\")\n",
    "print(f\"P-value: {za_result['za_pval']:.4f}\")\n",
    "print(f\"5% critical: {za_result['critical_5pct']:.4f}\")\n",
    "print(f\"Reject H0: {za_result['reject_h0']}\")"
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   "source": [
    "### Bai-Perron: Multiple Break Points via `ruptures`\n",
    "\n",
    "The Zivot-Andrews test finds at most one break. For multi-decade data,\n",
    "multiple structural breaks are common (2008 crisis, COVID, etc.).\n",
    "The `ruptures` library implements Bai-Perron style segmentation."
   ]
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     "name": "stdout",
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     "text": [
      "PELT breaks: 8 detected\n",
      "BinSeg breaks: 4 detected (requested 4)\n"
     ]
    }
   ],
   "source": [
    "def detect_multiple_breaks(series: np.ndarray, n_breaks: int = 3, model: str = \"l2\") -> dict:\n",
    "    \"\"\"Detect multiple break points using Pelt or dynamic programming.\n",
    "\n",
    "    Args:\n",
    "        series: 1D array of values\n",
    "        n_breaks: Expected number of breaks\n",
    "        model: Cost model ('l2' for mean shift, 'rbf' for distribution shift)\n",
    "    \"\"\"\n",
    "    # Pelt with penalty (automatic n_breaks)\n",
    "    algo_pelt = rpt.Pelt(model=model, min_size=60).fit(series)\n",
    "    breaks_pelt = algo_pelt.predict(pen=np.log(len(series)) * series.var())\n",
    "\n",
    "    # Binary segmentation (fixed n_breaks)\n",
    "    algo_binseg = rpt.Binseg(model=model, min_size=60).fit(series)\n",
    "    breaks_binseg = algo_binseg.predict(n_bkps=n_breaks)\n",
    "\n",
    "    return {\n",
    "        \"pelt_breaks\": breaks_pelt[:-1],  # Remove last (=len)\n",
    "        \"binseg_breaks\": breaks_binseg[:-1],\n",
    "    }\n",
    "\n",
    "\n",
    "prices = spy_pd[\"close\"].dropna().values\n",
    "breaks = detect_multiple_breaks(prices, n_breaks=4)\n",
    "\n",
    "print(f\"PELT breaks: {len(breaks['pelt_breaks'])} detected\")\n",
    "print(f\"BinSeg breaks: {len(breaks['binseg_breaks'])} detected (requested 4)\")"
   ]
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",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 1, figsize=(14, 8), sharex=True)\n",
    "\n",
    "dates = spy_pd[\"close\"].dropna().index\n",
    "\n",
    "# PELT results\n",
    "ax = axes[0]\n",
    "ax.plot(dates, prices, linewidth=0.8)\n",
    "for bp in breaks[\"pelt_breaks\"]:\n",
    "    if bp < len(dates):\n",
    "        ax.axvline(dates[bp], color=\"red\", linestyle=\"--\", alpha=0.7)\n",
    "        ax.text(\n",
    "            dates[bp],\n",
    "            prices.max() * 0.95,\n",
    "            dates[bp].strftime(\"%Y-%m\"),\n",
    "            rotation=45,\n",
    "            fontsize=8,\n",
    "            color=\"red\",\n",
    "        )\n",
    "ax.set_title(f\"PELT: {len(breaks['pelt_breaks'])} Break Points Detected\")\n",
    "ax.set_ylabel(\"Price\")\n",
    "\n",
    "# BinSeg results\n",
    "ax = axes[1]\n",
    "ax.plot(dates, prices, linewidth=0.8)\n",
    "for bp in breaks[\"binseg_breaks\"]:\n",
    "    if bp < len(dates):\n",
    "        ax.axvline(dates[bp], color=\"red\", linestyle=\"--\", alpha=0.7)\n",
    "        ax.text(\n",
    "            dates[bp],\n",
    "            prices.max() * 0.95,\n",
    "            dates[bp].strftime(\"%Y-%m\"),\n",
    "            rotation=45,\n",
    "            fontsize=8,\n",
    "            color=\"red\",\n",
    "        )\n",
    "ax.set_title(\"Binary Segmentation: 4 Break Points\")\n",
    "ax.set_ylabel(\"Price\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d5bc5cc",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.00215,
     "end_time": "2026-06-13T03:33:52.884621+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:52.882471+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### Break-Derived Features\n",
    "\n",
    "Convert detected breaks into features usable by downstream ML models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7e803a83",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:52.889677Z",
     "iopub.status.busy": "2026-06-13T03:33:52.889587Z",
     "iopub.status.idle": "2026-06-13T03:33:53.011943Z",
     "shell.execute_reply": "2026-06-13T03:33:53.011501Z"
    },
    "papermill": {
     "duration": 0.125443,
     "end_time": "2026-06-13T03:33:53.012202+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:52.886759+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>za_break_detected</th>\n",
       "      <th>days_since_break</th>\n",
       "      <th>pre_break_mean</th>\n",
       "      <th>post_break_mean</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-08-06</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-07</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-08</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-09</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-10</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-13</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-14</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-15</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-16</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-08-17</th>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>100.718885</td>\n",
       "      <td>120.933755</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            za_break_detected  days_since_break  pre_break_mean  \\\n",
       "timestamp                                                         \n",
       "2012-08-06                  1                 0      100.718885   \n",
       "2012-08-07                  1                 1      100.718885   \n",
       "2012-08-08                  1                 2      100.718885   \n",
       "2012-08-09                  1                 3      100.718885   \n",
       "2012-08-10                  1                 4      100.718885   \n",
       "2012-08-13                  1                 5      100.718885   \n",
       "2012-08-14                  1                 6      100.718885   \n",
       "2012-08-15                  1                 7      100.718885   \n",
       "2012-08-16                  1                 8      100.718885   \n",
       "2012-08-17                  1                 9      100.718885   \n",
       "\n",
       "            post_break_mean  \n",
       "timestamp                    \n",
       "2012-08-06       120.933755  \n",
       "2012-08-07       120.933755  \n",
       "2012-08-08       120.933755  \n",
       "2012-08-09       120.933755  \n",
       "2012-08-10       120.933755  \n",
       "2012-08-13       120.933755  \n",
       "2012-08-14       120.933755  \n",
       "2012-08-15       120.933755  \n",
       "2012-08-16       120.933755  \n",
       "2012-08-17       120.933755  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def compute_break_features(\n",
    "    series: np.ndarray, breaks: list, dates: pd.DatetimeIndex\n",
    ") -> pd.DataFrame:\n",
    "    \"\"\"Convert break points into time-varying features.\"\"\"\n",
    "    n = len(series)\n",
    "    features = pd.DataFrame(index=dates[:n])\n",
    "\n",
    "    # Binary: has a break been detected before this point?\n",
    "    features[\"za_break_detected\"] = 0\n",
    "    for bp in breaks:\n",
    "        if bp < n:\n",
    "            features.iloc[bp:, features.columns.get_loc(\"za_break_detected\")] = 1\n",
    "\n",
    "    # Days since last break\n",
    "    features[\"days_since_break\"] = n  # Default: no break\n",
    "    for i in range(n):\n",
    "        past_breaks = [bp for bp in breaks if bp <= i]\n",
    "        if past_breaks:\n",
    "            features.iloc[i, features.columns.get_loc(\"days_since_break\")] = i - max(past_breaks)\n",
    "\n",
    "    # Pre/post break means (using most recent break)\n",
    "    features[\"pre_break_mean\"] = np.nan\n",
    "    features[\"post_break_mean\"] = np.nan\n",
    "    for bp in sorted(breaks):\n",
    "        if bp < n and bp > 50:\n",
    "            pre_mean = series[max(0, bp - 252) : bp].mean()\n",
    "            post_end = min(bp + 252, n)\n",
    "            post_mean = series[bp:post_end].mean()\n",
    "            features.iloc[bp:, features.columns.get_loc(\"pre_break_mean\")] = pre_mean\n",
    "            features.iloc[bp:, features.columns.get_loc(\"post_break_mean\")] = post_mean\n",
    "\n",
    "    return features\n",
    "\n",
    "\n",
    "break_features = compute_break_features(prices, breaks[\"pelt_breaks\"], dates)\n",
    "display(break_features.dropna().head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac4617bd",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.00237,
     "end_time": "2026-06-13T03:33:53.016920+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.014550+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### CUSUM Monitoring\n",
    "\n",
    "The cumulative sum (CUSUM) statistic detects shifts in the mean of a process.\n",
    "Unlike retrospective tests, CUSUM can be used for online monitoring —\n",
    "it accumulates evidence sequentially and triggers when a threshold is exceeded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ebebff4f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:53.021911Z",
     "iopub.status.busy": "2026-06-13T03:33:53.021808Z",
     "iopub.status.idle": "2026-06-13T03:33:53.165337Z",
     "shell.execute_reply": "2026-06-13T03:33:53.164908Z"
    },
    "papermill": {
     "duration": 0.146644,
     "end_time": "2026-06-13T03:33:53.165729+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.019085+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1400x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def cusum_statistic(series: np.ndarray, target: float | None = None) -> np.ndarray:\n",
    "    \"\"\"Compute one-sided CUSUM statistic.\n",
    "\n",
    "    CUSUM accumulates deviations from the target mean.\n",
    "    Sustained positive CUSUM indicates upward shift; negative indicates downward.\n",
    "    \"\"\"\n",
    "    if target is None:\n",
    "        target = series.mean()\n",
    "    return np.cumsum(series - target)\n",
    "\n",
    "\n",
    "returns = spy_pd[\"returns\"].dropna()\n",
    "cusum = cusum_statistic(returns.values)\n",
    "\n",
    "fig, axes = plt.subplots(2, 1, figsize=(14, 6), sharex=True)\n",
    "\n",
    "ax = axes[0]\n",
    "ax.plot(returns.index, returns.values, linewidth=0.3, alpha=0.5)\n",
    "ax.set_title(\"SPY Returns (%)\")\n",
    "ax.set_ylabel(\"Return (%)\")\n",
    "\n",
    "ax = axes[1]\n",
    "ax.plot(returns.index, cusum, linewidth=0.8)\n",
    "ax.axhline(0, color=\"red\", linestyle=\"--\", linewidth=0.5)\n",
    "ax.set_title(\"CUSUM of Returns (Cumulative Deviation from Mean)\")\n",
    "ax.set_ylabel(\"Cumulative Sum\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "812576bf",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.002528,
     "end_time": "2026-06-13T03:33:53.171014+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.168486+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### MOSUM Monitoring\n",
    "\n",
    "The moving sum (MOSUM) statistic complements CUSUM by using a **fixed-width\n",
    "sliding window** rather than accumulating from the start. Where CUSUM detects\n",
    "gradual drift, MOSUM is better at detecting abrupt, localized shifts — the\n",
    "signal peaks at the break and decays as the window slides past.\n",
    "\n",
    "The MOSUM at time $t$ with bandwidth $h$ is the standardized mean difference\n",
    "between the observations in $[t-h, t]$ and the full-sample mean:\n",
    "\n",
    "$$M_t = \\frac{1}{\\hat{\\sigma}\\sqrt{h}} \\sum_{i=t-h+1}^{t} (x_i - \\bar{x})$$\n",
    "\n",
    "Large $|M_t|$ values indicate a local departure from the overall mean."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4cd05212",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:53.176578Z",
     "iopub.status.busy": "2026-06-13T03:33:53.176482Z",
     "iopub.status.idle": "2026-06-13T03:33:53.178818Z",
     "shell.execute_reply": "2026-06-13T03:33:53.178552Z"
    },
    "papermill": {
     "duration": 0.005681,
     "end_time": "2026-06-13T03:33:53.179167+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.173486+00:00",
     "status": "completed"
    }
   },
   "outputs": [],
   "source": [
    "def mosum_statistic(\n",
    "    series: np.ndarray, bandwidth: int = 50, target: float | None = None\n",
    ") -> np.ndarray:\n",
    "    \"\"\"Compute MOSUM (moving sum) monitoring statistic.\n",
    "\n",
    "    Unlike CUSUM which accumulates from the start, MOSUM uses a fixed-width\n",
    "    sliding window — better at detecting abrupt, localized shifts.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    series : array\n",
    "        Input time series.\n",
    "    bandwidth : int\n",
    "        Window width (h). Larger h → smoother, less sensitive to short breaks.\n",
    "    target : float, optional\n",
    "        Reference mean. Defaults to full-sample mean.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    mosum : array\n",
    "        Standardized MOSUM statistic (same length as series, NaN-padded).\n",
    "    \"\"\"\n",
    "    if target is None:\n",
    "        target = series.mean()\n",
    "    sigma = series.std()\n",
    "    n = len(series)\n",
    "    mosum = np.full(n, np.nan)\n",
    "    for t in range(bandwidth, n):\n",
    "        window_sum = np.sum(series[t - bandwidth + 1 : t + 1] - target)\n",
    "        mosum[t] = window_sum / (sigma * np.sqrt(bandwidth))\n",
    "    return mosum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "68a4383f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:53.184774Z",
     "iopub.status.busy": "2026-06-13T03:33:53.184702Z",
     "iopub.status.idle": "2026-06-13T03:33:53.422673Z",
     "shell.execute_reply": "2026-06-13T03:33:53.422250Z"
    },
    "papermill": {
     "duration": 0.241911,
     "end_time": "2026-06-13T03:33:53.423623+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.181712+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compare CUSUM and MOSUM on the same returns series\n",
    "mosum_50 = mosum_statistic(returns.values, bandwidth=50)\n",
    "mosum_20 = mosum_statistic(returns.values, bandwidth=20)\n",
    "\n",
    "fig, axes = plt.subplots(3, 1, figsize=(14, 7), sharex=True)\n",
    "\n",
    "ax = axes[0]\n",
    "ax.plot(returns.index, returns.values, linewidth=0.3, alpha=0.5)\n",
    "ax.set_title(\"SPY Returns (%)\")\n",
    "ax.set_ylabel(\"Return (%)\")\n",
    "\n",
    "ax = axes[1]\n",
    "ax.plot(returns.index, cusum, linewidth=0.8, label=\"CUSUM\")\n",
    "ax.axhline(0, color=\"red\", linestyle=\"--\", linewidth=0.5)\n",
    "ax.set_title(\"CUSUM — Accumulates Drift from Start\")\n",
    "ax.set_ylabel(\"Cumulative Sum\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "\n",
    "ax = axes[2]\n",
    "ax.plot(returns.index, mosum_50, linewidth=0.8, label=\"MOSUM (h=50)\")\n",
    "ax.plot(returns.index, mosum_20, linewidth=0.8, alpha=0.6, label=\"MOSUM (h=20)\")\n",
    "ax.axhline(0, color=\"red\", linestyle=\"--\", linewidth=0.5)\n",
    "ax.set_title(\"MOSUM — Detects Localized Shifts\")\n",
    "ax.set_ylabel(\"Standardized MOSUM\")\n",
    "ax.legend(loc=\"upper left\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f96a798",
   "metadata": {
    "papermill": {
     "duration": 0.003412,
     "end_time": "2026-06-13T03:33:53.430537+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.427125+00:00",
     "status": "completed"
    }
   },
   "source": [
    "**CUSUM vs MOSUM**: CUSUM is cumulative — once it detects a shift, the\n",
    "statistic remains elevated permanently. MOSUM is local — it peaks at the\n",
    "break and decays as the window slides past, making it easier to date breaks\n",
    "precisely. The bandwidth $h$ controls sensitivity: smaller $h$ detects\n",
    "shorter breaks but is noisier; larger $h$ is smoother but may miss brief\n",
    "regime changes. Using both provides complementary evidence: CUSUM for\n",
    "sustained drift, MOSUM for abrupt shifts."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4272309d",
   "metadata": {
    "papermill": {
     "duration": 0.003099,
     "end_time": "2026-06-13T03:33:53.436754+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.433655+00:00",
     "status": "completed"
    }
   },
   "source": [
    "# Part 2 — Break Detection as Binary Classification (ADIA Lab Formulation)\n",
    "\n",
    "The ADIA Lab structural break competition reframes break detection as a\n",
    "supervised classification problem: given a time series split at a candidate\n",
    "boundary $\\tau$, predict whether a structural break occurred at that point.\n",
    "\n",
    "The Alphabot solution built 58 statistical features comparing the\n",
    "pre-boundary and post-boundary windows. The construction combines\n",
    "multiple tests, each probing a different aspect of distributional\n",
    "change, into the features for a downstream classifier.\n",
    "\n",
    "We implement the core feature families below. These features are useful\n",
    "beyond competition — they provide a structured toolkit for detecting\n",
    "regime changes in financial data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ff0e946",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.002932,
     "end_time": "2026-06-13T03:33:53.442720+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.439788+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### Generate Synthetic Data\n",
    "\n",
    "Create training examples with known break structure for demonstration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0928340b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:53.449635Z",
     "iopub.status.busy": "2026-06-13T03:33:53.449529Z",
     "iopub.status.idle": "2026-06-13T03:33:53.473528Z",
     "shell.execute_reply": "2026-06-13T03:33:53.473033Z"
    },
    "papermill": {
     "duration": 0.028217,
     "end_time": "2026-06-13T03:33:53.473985+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.445768+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generated 200 series: 100 no-break, 100 with break\n"
     ]
    }
   ],
   "source": [
    "def generate_break_series(\n",
    "    n: int = 500, break_type: str = \"mean_shift\", magnitude: float = 1.0, seed: int | None = None\n",
    ") -> tuple[np.ndarray, bool, int]:\n",
    "    \"\"\"Generate a time series with or without a structural break at midpoint.\n",
    "\n",
    "    Returns (series, has_break, break_idx).\n",
    "    \"\"\"\n",
    "    rng = np.random.RandomState(seed)\n",
    "    mid = n // 2\n",
    "\n",
    "    if break_type == \"none\":\n",
    "        series = rng.randn(n)\n",
    "        return series, False, mid\n",
    "\n",
    "    elif break_type == \"mean_shift\":\n",
    "        pre = rng.randn(mid)\n",
    "        post = rng.randn(n - mid) + magnitude\n",
    "        return np.concatenate([pre, post]), True, mid\n",
    "\n",
    "    elif break_type == \"var_shift\":\n",
    "        pre = rng.randn(mid)\n",
    "        post = rng.randn(n - mid) * (1 + magnitude)\n",
    "        return np.concatenate([pre, post]), True, mid\n",
    "\n",
    "    elif break_type == \"trend_shift\":\n",
    "        t = np.arange(n, dtype=float)\n",
    "        pre_trend = 0.001 * t[:mid]\n",
    "        post_trend = 0.001 * t[:mid][-1] + magnitude * 0.01 * (t[mid:] - t[mid])\n",
    "        noise = rng.randn(n) * 0.5\n",
    "        return np.concatenate([pre_trend, post_trend]) + noise, True, mid\n",
    "\n",
    "    elif break_type == \"autocorr_shift\":\n",
    "        pre = np.zeros(mid)\n",
    "        for i in range(1, mid):\n",
    "            pre[i] = 0.2 * pre[i - 1] + rng.randn()\n",
    "        post = np.zeros(n - mid)\n",
    "        for i in range(1, n - mid):\n",
    "            post[i] = (0.2 + magnitude * 0.5) * post[i - 1] + rng.randn()\n",
    "        return np.concatenate([pre, post]), True, mid\n",
    "\n",
    "    msg = f\"Unknown break_type: {break_type}\"\n",
    "    raise ValueError(msg)\n",
    "\n",
    "\n",
    "# Generate examples\n",
    "rng = np.random.RandomState(42)\n",
    "n_samples = 200\n",
    "series_list = []\n",
    "labels = []\n",
    "\n",
    "for i in range(n_samples):\n",
    "    if i < n_samples // 2:\n",
    "        # No break\n",
    "        s, has_break, mid = generate_break_series(500, \"none\", seed=i)\n",
    "    else:\n",
    "        # Random break type\n",
    "        break_types = [\"mean_shift\", \"var_shift\", \"trend_shift\", \"autocorr_shift\"]\n",
    "        bt = break_types[(i - n_samples // 2) % len(break_types)]\n",
    "        mag = rng.uniform(0.3, 2.0)\n",
    "        s, has_break, mid = generate_break_series(500, bt, magnitude=mag, seed=i)\n",
    "    series_list.append(s)\n",
    "    labels.append(int(has_break))\n",
    "\n",
    "labels = np.array(labels)\n",
    "print(\n",
    "    f\"Generated {n_samples} series: {(labels == 0).sum()} no-break, {(labels == 1).sum()} with break\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5f701025",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:53.481014Z",
     "iopub.status.busy": "2026-06-13T03:33:53.480934Z",
     "iopub.status.idle": "2026-06-13T03:33:53.897071Z",
     "shell.execute_reply": "2026-06-13T03:33:53.896475Z"
    },
    "papermill": {
     "duration": 0.420345,
     "end_time": "2026-06-13T03:33:53.897533+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.477188+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1600x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize examples\n",
    "fig, axes = plt.subplots(2, 4, figsize=(16, 6))\n",
    "\n",
    "types = [\"none\", \"mean_shift\", \"var_shift\", \"trend_shift\"]\n",
    "for i, bt in enumerate(types):\n",
    "    s, _, mid = generate_break_series(500, bt, magnitude=1.0, seed=99)\n",
    "    ax = axes[0, i]\n",
    "    ax.plot(s, linewidth=0.5)\n",
    "    ax.axvline(mid, color=\"red\", linestyle=\"--\", alpha=0.7)\n",
    "    ax.set_title(bt.replace(\"_\", \" \").title())\n",
    "\n",
    "    # Show pre/post distributions\n",
    "    ax = axes[1, i]\n",
    "    ax.hist(s[:mid], bins=30, alpha=0.5, density=True, label=\"Pre\")\n",
    "    ax.hist(s[mid:], bins=30, alpha=0.5, density=True, label=\"Post\")\n",
    "    ax.legend(fontsize=8)\n",
    "    ax.set_title(\"Pre vs Post Distribution\")\n",
    "\n",
    "plt.suptitle(\"Structural Break Types\", fontweight=\"bold\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43a0bc70",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.003677,
     "end_time": "2026-06-13T03:33:53.905150+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.901473+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### Feature Family 1: Location Shift\n",
    "\n",
    "Compare the mean/median of pre-boundary vs post-boundary windows.\n",
    "The core test is Welch's t-test on absolute values (robust to scale differences)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3f6d0dda",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:53.913313Z",
     "iopub.status.busy": "2026-06-13T03:33:53.913206Z",
     "iopub.status.idle": "2026-06-13T03:33:53.917191Z",
     "shell.execute_reply": "2026-06-13T03:33:53.916620Z"
    },
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.008693,
     "end_time": "2026-06-13T03:33:53.917603+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.908910+00:00",
     "status": "completed"
    }
   },
   "outputs": [],
   "source": [
    "def location_shift_features(series: np.ndarray, boundary: int) -> dict:\n",
    "    \"\"\"Compute location shift features comparing pre/post boundary.\n",
    "\n",
    "    Based on Alphabot features f01-f02: Welch t-test on absolute values\n",
    "    at multiple window sizes, with Fisher aggregation.\n",
    "    \"\"\"\n",
    "    features = {}\n",
    "    pre = series[:boundary]\n",
    "    post = series[boundary:]\n",
    "\n",
    "    # Welch t-test on raw values\n",
    "    t_stat, p_val = stats.ttest_ind(pre, post, equal_var=False)\n",
    "    features[\"welch_t_pval\"] = p_val\n",
    "    features[\"welch_t_stat\"] = abs(t_stat)\n",
    "\n",
    "    # Welch t-test on absolute values (captures scale + location shifts)\n",
    "    for window in [50, 100, 250]:\n",
    "        w = min(window, len(pre), len(post))\n",
    "        if w < 10:\n",
    "            features[f\"local_t_abs_{window}\"] = 0.5\n",
    "            continue\n",
    "        pre_w = np.abs(pre[-w:])\n",
    "        post_w = np.abs(post[:w])\n",
    "        _, p = stats.ttest_ind(pre_w, post_w, equal_var=False)\n",
    "        features[f\"local_t_abs_{window}\"] = p\n",
    "\n",
    "    # Fisher aggregation across window sizes (Alphabot f02)\n",
    "    p_values = [features.get(f\"local_t_abs_{w}\", 0.5) for w in [50, 100]]\n",
    "    p_values = [max(p, 1e-300) for p in p_values]  # Avoid log(0)\n",
    "    fisher_stat = -2 * sum(np.log(p) for p in p_values)\n",
    "    features[\"fisher_location\"] = 1 - stats.chi2.cdf(fisher_stat, df=2 * len(p_values))\n",
    "\n",
    "    # Mean difference (standardized)\n",
    "    pooled_std = np.sqrt((pre.var() + post.var()) / 2)\n",
    "    if pooled_std > 0:\n",
    "        features[\"mean_diff_std\"] = abs(pre.mean() - post.mean()) / pooled_std\n",
    "    else:\n",
    "        features[\"mean_diff_std\"] = 0.0\n",
    "\n",
    "    return features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49a316b3",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.003612,
     "end_time": "2026-06-13T03:33:53.925004+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:53.921392+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### Feature Family 2: Scale Shift\n",
    "\n",
    "Detect changes in variance/dispersion using F-test, Levene, and Fligner-Killeen."
   ]
  },
  {
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   "source": [
    "def scale_shift_features(series: np.ndarray, boundary: int) -> dict:\n",
    "    \"\"\"Compute scale shift features: variance ratio, Levene, Fligner-Killeen.\"\"\"\n",
    "    features = {}\n",
    "    pre = series[:boundary]\n",
    "    post = series[boundary:]\n",
    "\n",
    "    # F-test variance ratio\n",
    "    var_ratio = post.var(ddof=1) / max(pre.var(ddof=1), 1e-10)\n",
    "    features[\"var_ratio\"] = var_ratio\n",
    "    features[\"log_var_ratio\"] = abs(np.log(max(var_ratio, 1e-10)))\n",
    "\n",
    "    # F-test p-value (Alphabot f09)\n",
    "    f_stat = max(var_ratio, 1.0 / max(var_ratio, 1e-10))\n",
    "    df1 = len(post) - 1\n",
    "    df2 = len(pre) - 1\n",
    "    f_pval = 2 * (1 - stats.f.cdf(f_stat, df1, df2))\n",
    "    features[\"f_test_pval\"] = f_pval\n",
    "    features[\"neg_log10_f_pval\"] = -np.log10(max(f_pval, 1e-300))\n",
    "\n",
    "    # Fligner-Killeen test (robust to non-normality, Alphabot f05)\n",
    "    _, fk_pval = stats.fligner(pre, post)\n",
    "    features[\"fligner_pval\"] = fk_pval\n",
    "\n",
    "    # Levene test\n",
    "    _, levene_pval = stats.levene(pre, post)\n",
    "    features[\"levene_pval\"] = levene_pval\n",
    "\n",
    "    return features"
   ]
  },
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   "source": [
    "### Feature Family 3: Distribution Shift\n",
    "\n",
    "Detect full distributional changes using KS test, JSD, Hellinger distance,\n",
    "and Wasserstein distance. These capture shifts that go beyond mean/variance."
   ]
  },
  {
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   "execution_count": 16,
   "id": "8a524d70",
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   "source": [
    "def distribution_shift_features(series: np.ndarray, boundary: int, n_bins: int = 50) -> dict:\n",
    "    \"\"\"Compute distribution shift features: KS, JSD, Hellinger, Wasserstein.\"\"\"\n",
    "    features = {}\n",
    "    pre = series[:boundary]\n",
    "    post = series[boundary:]\n",
    "\n",
    "    # Kolmogorov-Smirnov test\n",
    "    ks_stat, ks_pval = stats.ks_2samp(pre, post)\n",
    "    features[\"ks_stat\"] = ks_stat\n",
    "    features[\"ks_pval\"] = ks_pval\n",
    "\n",
    "    # Jensen-Shannon divergence (Alphabot f08)\n",
    "    # Histogram-based\n",
    "    all_data = np.concatenate([pre, post])\n",
    "    bins = np.linspace(all_data.min() - 0.1, all_data.max() + 0.1, n_bins + 1)\n",
    "    pre_hist, _ = np.histogram(pre, bins=bins, density=True)\n",
    "    post_hist, _ = np.histogram(post, bins=bins, density=True)\n",
    "    # Add small epsilon to avoid zeros\n",
    "    pre_hist = pre_hist + 1e-10\n",
    "    post_hist = post_hist + 1e-10\n",
    "    pre_hist = pre_hist / pre_hist.sum()\n",
    "    post_hist = post_hist / post_hist.sum()\n",
    "    features[\"jsd\"] = jensenshannon(pre_hist, post_hist) ** 2  # Squared JSD\n",
    "\n",
    "    # Hellinger distance (Alphabot f11)\n",
    "    hellinger = np.sqrt(1 - np.sum(np.sqrt(pre_hist * post_hist)))\n",
    "    features[\"hellinger\"] = hellinger\n",
    "\n",
    "    # Wasserstein distance (Earth mover's distance)\n",
    "    features[\"wasserstein\"] = stats.wasserstein_distance(pre, post)\n",
    "\n",
    "    return features"
   ]
  },
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   "id": "e29e161c",
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   },
   "source": [
    "### Feature Family 4: Dependence Shift\n",
    "\n",
    "Detect changes in autocorrelation structure. Structural breaks often alter\n",
    "the temporal dependence pattern (e.g., volatility clustering appears/disappears)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "70c57dc1",
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   "source": [
    "def dependence_shift_features(series: np.ndarray, boundary: int) -> dict:\n",
    "    \"\"\"Compute dependence shift features: autocorrelation change, BDS proxy.\"\"\"\n",
    "    features = {}\n",
    "    pre = series[:boundary]\n",
    "    post = series[boundary:]\n",
    "\n",
    "    # Lag-1 autocorrelation difference\n",
    "    if len(pre) > 2 and len(post) > 2:\n",
    "        ac_pre = np.corrcoef(pre[:-1], pre[1:])[0, 1]\n",
    "        ac_post = np.corrcoef(post[:-1], post[1:])[0, 1]\n",
    "        features[\"autocorr_diff\"] = abs(ac_post - ac_pre)\n",
    "        features[\"autocorr_pre\"] = ac_pre\n",
    "        features[\"autocorr_post\"] = ac_post\n",
    "    else:\n",
    "        features[\"autocorr_diff\"] = 0.0\n",
    "        features[\"autocorr_pre\"] = 0.0\n",
    "        features[\"autocorr_post\"] = 0.0\n",
    "\n",
    "    # Variance of squared values (proxy for volatility clustering change)\n",
    "    sq_pre = pre**2\n",
    "    sq_post = post**2\n",
    "    if len(sq_pre) > 2 and len(sq_post) > 2:\n",
    "        ac_sq_pre = np.corrcoef(sq_pre[:-1], sq_pre[1:])[0, 1]\n",
    "        ac_sq_post = np.corrcoef(sq_post[:-1], sq_post[1:])[0, 1]\n",
    "        features[\"sq_autocorr_diff\"] = abs(ac_sq_post - ac_sq_pre)\n",
    "    else:\n",
    "        features[\"sq_autocorr_diff\"] = 0.0\n",
    "\n",
    "    return features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e5c871c",
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     "status": "completed"
    }
   },
   "source": [
    "### Feature Family 5: Change Point Alignment\n",
    "\n",
    "Use data-driven change point detection (CUSUM) and measure how well\n",
    "the estimated break aligns with the candidate boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "85fde116",
   "metadata": {
    "execution": {
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     "status": "completed"
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   },
   "outputs": [],
   "source": [
    "def alignment_features(series: np.ndarray, boundary: int) -> dict:\n",
    "    \"\"\"Compute change point alignment features (Alphabot f03).\"\"\"\n",
    "    features = {}\n",
    "    n = len(series)\n",
    "\n",
    "    # CUSUM-based change point\n",
    "    cusum = np.cumsum(series - series.mean())\n",
    "    cusum_cp = np.argmax(np.abs(cusum))\n",
    "    features[\"cusum_dist_to_boundary\"] = abs(cusum_cp - boundary) / n\n",
    "    features[\"cusum_max\"] = abs(cusum[cusum_cp]) / (series.std() * np.sqrt(n))\n",
    "\n",
    "    # Ruptures Pelt change point — Pelt/optimization can occasionally fail on\n",
    "    # short, near-constant series; fall back to \"no detected break\" (distance=1).\n",
    "    try:\n",
    "        algo = rpt.Pelt(model=\"l2\", min_size=20).fit(series)\n",
    "        bkps = algo.predict(pen=np.log(n) * series.var())\n",
    "        bkps = [b for b in bkps if b < n]\n",
    "        if bkps:\n",
    "            closest = min(bkps, key=lambda b: abs(b - boundary))\n",
    "            features[\"ruptures_dist_to_boundary\"] = abs(closest - boundary) / n\n",
    "        else:\n",
    "            features[\"ruptures_dist_to_boundary\"] = 1.0\n",
    "    except (ValueError, RuntimeError):\n",
    "        features[\"ruptures_dist_to_boundary\"] = 1.0\n",
    "\n",
    "    return features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "544cbbb4",
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     "status": "completed"
    }
   },
   "source": [
    "### Combine All Features\n",
    "\n",
    "Build the full feature matrix from all families and demonstrate classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a4bc36f2",
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     "status": "completed"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature matrix: (200, 25)\n",
      "Features: ['welch_t_pval', 'welch_t_stat', 'local_t_abs_50', 'local_t_abs_100', 'local_t_abs_250', 'fisher_location', 'mean_diff_std', 'var_ratio', 'log_var_ratio', 'f_test_pval', 'neg_log10_f_pval', 'fligner_pval', 'levene_pval', 'ks_stat', 'ks_pval', 'jsd', 'hellinger', 'wasserstein', 'autocorr_diff', 'autocorr_pre', 'autocorr_post', 'sq_autocorr_diff', 'cusum_dist_to_boundary', 'cusum_max', 'ruptures_dist_to_boundary']\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>welch_t_pval</th>\n",
       "      <th>welch_t_stat</th>\n",
       "      <th>local_t_abs_50</th>\n",
       "      <th>local_t_abs_100</th>\n",
       "      <th>local_t_abs_250</th>\n",
       "      <th>fisher_location</th>\n",
       "      <th>mean_diff_std</th>\n",
       "      <th>var_ratio</th>\n",
       "      <th>log_var_ratio</th>\n",
       "      <th>f_test_pval</th>\n",
       "      <th>...</th>\n",
       "      <th>jsd</th>\n",
       "      <th>hellinger</th>\n",
       "      <th>wasserstein</th>\n",
       "      <th>autocorr_diff</th>\n",
       "      <th>autocorr_pre</th>\n",
       "      <th>autocorr_post</th>\n",
       "      <th>sq_autocorr_diff</th>\n",
       "      <th>cusum_dist_to_boundary</th>\n",
       "      <th>cusum_max</th>\n",
       "      <th>ruptures_dist_to_boundary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.201326</td>\n",
       "      <td>1.279475</td>\n",
       "      <td>0.416761</td>\n",
       "      <td>0.985008</td>\n",
       "      <td>0.610719</td>\n",
       "      <td>0.776012</td>\n",
       "      <td>0.114669</td>\n",
       "      <td>1.001686</td>\n",
       "      <td>0.001684</td>\n",
       "      <td>0.989408</td>\n",
       "      <td>...</td>\n",
       "      <td>0.060058</td>\n",
       "      <td>0.272148</td>\n",
       "      <td>0.120947</td>\n",
       "      <td>0.075067</td>\n",
       "      <td>0.024819</td>\n",
       "      <td>-0.050248</td>\n",
       "      <td>0.038033</td>\n",
       "      <td>0.206</td>\n",
       "      <td>1.090416</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.605470</td>\n",
       "      <td>0.516880</td>\n",
       "      <td>0.054519</td>\n",
       "      <td>0.496558</td>\n",
       "      <td>0.329375</td>\n",
       "      <td>0.124781</td>\n",
       "      <td>0.046324</td>\n",
       "      <td>1.154506</td>\n",
       "      <td>0.143672</td>\n",
       "      <td>0.257664</td>\n",
       "      <td>...</td>\n",
       "      <td>0.064257</td>\n",
       "      <td>0.271257</td>\n",
       "      <td>0.085307</td>\n",
       "      <td>0.069020</td>\n",
       "      <td>-0.057301</td>\n",
       "      <td>0.011718</td>\n",
       "      <td>0.038251</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.562012</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.926068</td>\n",
       "      <td>0.092840</td>\n",
       "      <td>0.926261</td>\n",
       "      <td>0.700895</td>\n",
       "      <td>0.566752</td>\n",
       "      <td>0.929669</td>\n",
       "      <td>0.008321</td>\n",
       "      <td>0.890318</td>\n",
       "      <td>0.116177</td>\n",
       "      <td>0.359958</td>\n",
       "      <td>...</td>\n",
       "      <td>0.045403</td>\n",
       "      <td>0.233663</td>\n",
       "      <td>0.066475</td>\n",
       "      <td>0.133863</td>\n",
       "      <td>-0.096652</td>\n",
       "      <td>0.037211</td>\n",
       "      <td>0.097279</td>\n",
       "      <td>0.140</td>\n",
       "      <td>0.778003</td>\n",
       "      <td>0.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.610669</td>\n",
       "      <td>0.509441</td>\n",
       "      <td>0.371451</td>\n",
       "      <td>0.123884</td>\n",
       "      <td>0.359172</td>\n",
       "      <td>0.187691</td>\n",
       "      <td>0.045657</td>\n",
       "      <td>1.093386</td>\n",
       "      <td>0.089279</td>\n",
       "      <td>0.481696</td>\n",
       "      <td>...</td>\n",
       "      <td>0.068597</td>\n",
       "      <td>0.277296</td>\n",
       "      <td>0.087068</td>\n",
       "      <td>0.075128</td>\n",
       "      <td>0.055232</td>\n",
       "      <td>-0.019896</td>\n",
       "      <td>0.050688</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.782825</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.536910</td>\n",
       "      <td>0.617921</td>\n",
       "      <td>0.401085</td>\n",
       "      <td>0.886064</td>\n",
       "      <td>0.430847</td>\n",
       "      <td>0.723052</td>\n",
       "      <td>0.055379</td>\n",
       "      <td>0.928366</td>\n",
       "      <td>0.074329</td>\n",
       "      <td>0.558014</td>\n",
       "      <td>...</td>\n",
       "      <td>0.063043</td>\n",
       "      <td>0.277041</td>\n",
       "      <td>0.101041</td>\n",
       "      <td>0.060365</td>\n",
       "      <td>0.011366</td>\n",
       "      <td>-0.048999</td>\n",
       "      <td>0.010392</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.636393</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   welch_t_pval  welch_t_stat  local_t_abs_50  local_t_abs_100  \\\n",
       "0      0.201326      1.279475        0.416761         0.985008   \n",
       "1      0.605470      0.516880        0.054519         0.496558   \n",
       "2      0.926068      0.092840        0.926261         0.700895   \n",
       "3      0.610669      0.509441        0.371451         0.123884   \n",
       "4      0.536910      0.617921        0.401085         0.886064   \n",
       "\n",
       "   local_t_abs_250  fisher_location  mean_diff_std  var_ratio  log_var_ratio  \\\n",
       "0         0.610719         0.776012       0.114669   1.001686       0.001684   \n",
       "1         0.329375         0.124781       0.046324   1.154506       0.143672   \n",
       "2         0.566752         0.929669       0.008321   0.890318       0.116177   \n",
       "3         0.359172         0.187691       0.045657   1.093386       0.089279   \n",
       "4         0.430847         0.723052       0.055379   0.928366       0.074329   \n",
       "\n",
       "   f_test_pval  ...       jsd  hellinger  wasserstein  autocorr_diff  \\\n",
       "0     0.989408  ...  0.060058   0.272148     0.120947       0.075067   \n",
       "1     0.257664  ...  0.064257   0.271257     0.085307       0.069020   \n",
       "2     0.359958  ...  0.045403   0.233663     0.066475       0.133863   \n",
       "3     0.481696  ...  0.068597   0.277296     0.087068       0.075128   \n",
       "4     0.558014  ...  0.063043   0.277041     0.101041       0.060365   \n",
       "\n",
       "   autocorr_pre  autocorr_post  sq_autocorr_diff  cusum_dist_to_boundary  \\\n",
       "0      0.024819      -0.050248          0.038033                   0.206   \n",
       "1     -0.057301       0.011718          0.038251                   0.168   \n",
       "2     -0.096652       0.037211          0.097279                   0.140   \n",
       "3      0.055232      -0.019896          0.050688                   0.110   \n",
       "4      0.011366      -0.048999          0.010392                   0.150   \n",
       "\n",
       "   cusum_max  ruptures_dist_to_boundary  \n",
       "0   1.090416                       0.24  \n",
       "1   0.562012                       1.00  \n",
       "2   0.778003                       0.14  \n",
       "3   0.782825                       0.08  \n",
       "4   0.636393                       0.07  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def compute_all_break_features(series: np.ndarray, boundary: int) -> dict:\n",
    "    \"\"\"Compute all structural break features for a single series.\"\"\"\n",
    "    features = {}\n",
    "    features.update(location_shift_features(series, boundary))\n",
    "    features.update(scale_shift_features(series, boundary))\n",
    "    features.update(distribution_shift_features(series, boundary))\n",
    "    features.update(dependence_shift_features(series, boundary))\n",
    "    features.update(alignment_features(series, boundary))\n",
    "    return features\n",
    "\n",
    "\n",
    "# Build feature matrix\n",
    "feature_rows = []\n",
    "for i, series in enumerate(series_list):\n",
    "    mid = len(series) // 2\n",
    "    feat = compute_all_break_features(series, mid)\n",
    "    feature_rows.append(feat)\n",
    "\n",
    "X = pd.DataFrame(feature_rows)\n",
    "y = labels\n",
    "\n",
    "print(f\"Feature matrix: {X.shape}\")\n",
    "print(f\"Features: {list(X.columns)}\")\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e9bf37e",
   "metadata": {
    "papermill": {
     "duration": 0.003614,
     "end_time": "2026-06-13T03:33:58.285129+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.281515+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### Classification with Gradient Boosting\n",
    "\n",
    "Following the ADIA Lab winners, we use LightGBM to combine the statistical\n",
    "features. The 2nd-place solution generated 2,408 features from time series\n",
    "transformations (z-score, cumsum, ranking, moving average/std) and used\n",
    "SHAP-based selection to pick the top 200–500."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "60667989",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:58.293259Z",
     "iopub.status.busy": "2026-06-13T03:33:58.293154Z",
     "iopub.status.idle": "2026-06-13T03:33:58.480991Z",
     "shell.execute_reply": "2026-06-13T03:33:58.480547Z"
    },
    "papermill": {
     "duration": 0.192422,
     "end_time": "2026-06-13T03:33:58.481316+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.288894+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== Structural Break Classification ===\n",
      "5-Fold CV AUC: 0.9975 (+/- 0.0032)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 10 Features by Importance:\n",
      "  local_t_abs_250                125.0000\n",
      "  autocorr_post                  100.0000\n",
      "  welch_t_pval                   50.0000\n",
      "  fisher_location                50.0000\n",
      "  local_t_abs_100                43.0000\n",
      "  wasserstein                    31.0000\n",
      "  welch_t_stat                   20.0000\n",
      "  autocorr_pre                   17.0000\n",
      "  ruptures_dist_to_boundary      14.0000\n",
      "  var_ratio                      10.0000\n"
     ]
    }
   ],
   "source": [
    "# Handle any NaN/inf values\n",
    "X = X.replace([np.inf, -np.inf], np.nan).fillna(0)\n",
    "\n",
    "# Cross-validated AUC\n",
    "clf = LGBMClassifier(n_estimators=100, max_depth=3, random_state=42, verbose=-1)\n",
    "cv_scores = cross_val_score(clf, X, y, cv=5, scoring=\"roc_auc\")\n",
    "\n",
    "print(\"=== Structural Break Classification ===\")\n",
    "print(f\"5-Fold CV AUC: {cv_scores.mean():.4f} (+/- {cv_scores.std():.4f})\")\n",
    "\n",
    "# Fit on full data for feature importance\n",
    "clf.fit(X, y)\n",
    "importances = pd.Series(clf.feature_importances_, index=X.columns).sort_values(ascending=False)\n",
    "\n",
    "print(\"\\nTop 10 Features by Importance:\")\n",
    "for feat, imp in importances.head(10).items():\n",
    "    print(f\"  {feat:<30} {imp:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ce2dfe04",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:58.490136Z",
     "iopub.status.busy": "2026-06-13T03:33:58.490039Z",
     "iopub.status.idle": "2026-06-13T03:33:58.765758Z",
     "shell.execute_reply": "2026-06-13T03:33:58.765298Z"
    },
    "papermill": {
     "duration": 0.280834,
     "end_time": "2026-06-13T03:33:58.766363+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.485529+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
    "\n",
    "# Feature importance\n",
    "ax = axes[0]\n",
    "importances.head(15).plot.barh(ax=ax)\n",
    "ax.set_title(\"Feature Importance (GBM)\")\n",
    "ax.set_xlabel(\"Importance\")\n",
    "\n",
    "# ROC curve via cross-validation predictions\n",
    "y_prob = cross_val_predict(clf, X, y, cv=5, method=\"predict_proba\")[:, 1]\n",
    "fpr, tpr, _ = roc_curve(y, y_prob)\n",
    "ax = axes[1]\n",
    "ax.plot(fpr, tpr, linewidth=2, label=f\"AUC = {roc_auc_score(y, y_prob):.3f}\")\n",
    "ax.plot([0, 1], [0, 1], \"k--\", linewidth=0.5)\n",
    "ax.set_xlabel(\"False Positive Rate\")\n",
    "ax.set_ylabel(\"True Positive Rate\")\n",
    "ax.set_title(\"ROC Curve — Break Detection\")\n",
    "ax.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "885758b1",
   "metadata": {
    "papermill": {
     "duration": 0.003948,
     "end_time": "2026-06-13T03:33:58.774374+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.770426+00:00",
     "status": "completed"
    }
   },
   "source": [
    "### Feature Family Contribution Analysis\n",
    "\n",
    "Which family of features contributes most to break detection?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "77a28a4e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:58.783540Z",
     "iopub.status.busy": "2026-06-13T03:33:58.783407Z",
     "iopub.status.idle": "2026-06-13T03:33:58.830421Z",
     "shell.execute_reply": "2026-06-13T03:33:58.830020Z"
    },
    "papermill": {
     "duration": 0.052605,
     "end_time": "2026-06-13T03:33:58.830987+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.778382+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "family_map = {\n",
    "    \"location\": [\n",
    "        \"welch_t_pval\",\n",
    "        \"welch_t_stat\",\n",
    "        \"local_t_abs_50\",\n",
    "        \"local_t_abs_100\",\n",
    "        \"local_t_abs_250\",\n",
    "        \"fisher_location\",\n",
    "        \"mean_diff_std\",\n",
    "    ],\n",
    "    \"scale\": [\n",
    "        \"var_ratio\",\n",
    "        \"log_var_ratio\",\n",
    "        \"f_test_pval\",\n",
    "        \"neg_log10_f_pval\",\n",
    "        \"fligner_pval\",\n",
    "        \"levene_pval\",\n",
    "    ],\n",
    "    \"distribution\": [\"ks_stat\", \"ks_pval\", \"jsd\", \"hellinger\", \"wasserstein\"],\n",
    "    \"dependence\": [\"autocorr_diff\", \"autocorr_pre\", \"autocorr_post\", \"sq_autocorr_diff\"],\n",
    "    \"alignment\": [\"cusum_dist_to_boundary\", \"cusum_max\", \"ruptures_dist_to_boundary\"],\n",
    "}\n",
    "\n",
    "family_importance = {}\n",
    "for family, feats in family_map.items():\n",
    "    existing = [f for f in feats if f in importances.index]\n",
    "    family_importance[family] = importances[existing].sum()\n",
    "\n",
    "family_series = pd.Series(family_importance).sort_values(ascending=True)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "family_series.plot.barh(ax=ax, color=[\"#1f77b4\", \"#ff7f0e\", \"#2ca02c\", \"#d62728\", \"#9467bd\"])\n",
    "ax.set_title(\"Feature Family Contribution to Break Detection\")\n",
    "ax.set_xlabel(\"Total Importance\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2633cd4",
   "metadata": {
    "lines_to_next_cell": 2,
    "papermill": {
     "duration": 0.003962,
     "end_time": "2026-06-13T03:33:58.839446+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.835484+00:00",
     "status": "completed"
    }
   },
   "source": [
    "## Application to Financial Data\n",
    "\n",
    "Apply the break classification features to SPY returns around known\n",
    "crisis periods to test whether the statistical features detect\n",
    "genuine structural breaks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "10790528",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:58.847841Z",
     "iopub.status.busy": "2026-06-13T03:33:58.847759Z",
     "iopub.status.idle": "2026-06-13T03:33:59.088874Z",
     "shell.execute_reply": "2026-06-13T03:33:59.088351Z"
    },
    "papermill": {
     "duration": 0.246002,
     "end_time": "2026-06-13T03:33:59.089311+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:58.843309+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>period</th>\n",
       "      <th>ks_stat</th>\n",
       "      <th>jsd</th>\n",
       "      <th>wasserstein</th>\n",
       "      <th>mean_diff_std</th>\n",
       "      <th>var_ratio</th>\n",
       "      <th>fisher_location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008 Financial Crisis</td>\n",
       "      <td>0.101449</td>\n",
       "      <td>0.049878</td>\n",
       "      <td>0.714132</td>\n",
       "      <td>0.020231</td>\n",
       "      <td>3.999075</td>\n",
       "      <td>1.110223e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COVID-19 Crash</td>\n",
       "      <td>0.127907</td>\n",
       "      <td>0.038594</td>\n",
       "      <td>0.258123</td>\n",
       "      <td>0.126821</td>\n",
       "      <td>1.489563</td>\n",
       "      <td>8.915189e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US Debt Downgrade</td>\n",
       "      <td>0.054796</td>\n",
       "      <td>0.027183</td>\n",
       "      <td>0.141446</td>\n",
       "      <td>0.015692</td>\n",
       "      <td>1.523967</td>\n",
       "      <td>1.483258e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mid-2015 (Quiet)</td>\n",
       "      <td>0.063584</td>\n",
       "      <td>0.032601</td>\n",
       "      <td>0.170204</td>\n",
       "      <td>0.046706</td>\n",
       "      <td>1.851906</td>\n",
       "      <td>3.175595e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mid-2017 (Quiet)</td>\n",
       "      <td>0.052023</td>\n",
       "      <td>0.042957</td>\n",
       "      <td>0.085900</td>\n",
       "      <td>0.058540</td>\n",
       "      <td>1.442327</td>\n",
       "      <td>7.743998e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Mid-2019 (Quiet)</td>\n",
       "      <td>0.099992</td>\n",
       "      <td>0.037011</td>\n",
       "      <td>0.400840</td>\n",
       "      <td>0.026321</td>\n",
       "      <td>3.251529</td>\n",
       "      <td>1.140006e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  period   ks_stat       jsd  wasserstein  mean_diff_std  \\\n",
       "0  2008 Financial Crisis  0.101449  0.049878     0.714132       0.020231   \n",
       "1         COVID-19 Crash  0.127907  0.038594     0.258123       0.126821   \n",
       "2      US Debt Downgrade  0.054796  0.027183     0.141446       0.015692   \n",
       "3       Mid-2015 (Quiet)  0.063584  0.032601     0.170204       0.046706   \n",
       "4       Mid-2017 (Quiet)  0.052023  0.042957     0.085900       0.058540   \n",
       "5       Mid-2019 (Quiet)  0.099992  0.037011     0.400840       0.026321   \n",
       "\n",
       "   var_ratio  fisher_location  \n",
       "0   3.999075     1.110223e-16  \n",
       "1   1.489563     8.915189e-04  \n",
       "2   1.523967     1.483258e-12  \n",
       "3   1.851906     3.175595e-03  \n",
       "4   1.442327     7.743998e-01  \n",
       "5   3.251529     1.140006e-01  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def analyze_period(\n",
    "    returns: pd.Series, center_date: str, window: int = 250, label: str = \"\"\n",
    ") -> dict[str, Any] | None:\n",
    "    \"\"\"Compute break features around a specific date.\"\"\"\n",
    "    center = pd.Timestamp(center_date)\n",
    "    mask = (returns.index >= center - pd.Timedelta(days=window * 2)) & (\n",
    "        returns.index <= center + pd.Timedelta(days=window * 2)\n",
    "    )\n",
    "    period_returns = returns[mask].dropna().values\n",
    "\n",
    "    if len(period_returns) < 100:\n",
    "        return None\n",
    "\n",
    "    mid = len(period_returns) // 2\n",
    "    features = compute_all_break_features(period_returns, mid)\n",
    "    features[\"period\"] = label\n",
    "    features[\"center_date\"] = center_date\n",
    "    features[\"n_obs\"] = len(period_returns)\n",
    "    return features\n",
    "\n",
    "\n",
    "spy_returns = spy_pd[\"returns\"].dropna()\n",
    "\n",
    "periods = [\n",
    "    (\"2008-09-15\", \"2008 Financial Crisis\"),\n",
    "    (\"2020-03-11\", \"COVID-19 Crash\"),\n",
    "    (\"2011-08-05\", \"US Debt Downgrade\"),\n",
    "    (\"2015-06-15\", \"Mid-2015 (Quiet)\"),\n",
    "    (\"2017-06-15\", \"Mid-2017 (Quiet)\"),\n",
    "    (\"2019-06-15\", \"Mid-2019 (Quiet)\"),\n",
    "]\n",
    "\n",
    "period_results = []\n",
    "for date, label in periods:\n",
    "    result = analyze_period(spy_returns, date, label=label)\n",
    "    if result is not None:\n",
    "        period_results.append(result)\n",
    "\n",
    "period_df = pd.DataFrame(period_results)\n",
    "\n",
    "# Key metrics comparison\n",
    "key_cols = [\n",
    "    \"period\",\n",
    "    \"ks_stat\",\n",
    "    \"jsd\",\n",
    "    \"wasserstein\",\n",
    "    \"mean_diff_std\",\n",
    "    \"var_ratio\",\n",
    "    \"fisher_location\",\n",
    "]\n",
    "display(period_df[key_cols])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f491d4ab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-06-13T03:33:59.098209Z",
     "iopub.status.busy": "2026-06-13T03:33:59.098136Z",
     "iopub.status.idle": "2026-06-13T03:33:59.155705Z",
     "shell.execute_reply": "2026-06-13T03:33:59.155265Z"
    },
    "papermill": {
     "duration": 0.062789,
     "end_time": "2026-06-13T03:33:59.156327+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:59.093538+00:00",
     "status": "completed"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>period</th>\n",
       "      <th>break_probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008 Financial Crisis</td>\n",
       "      <td>0.999979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Mid-2019 (Quiet)</td>\n",
       "      <td>0.999971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COVID-19 Crash</td>\n",
       "      <td>0.999163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mid-2015 (Quiet)</td>\n",
       "      <td>0.989057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US Debt Downgrade</td>\n",
       "      <td>0.983301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mid-2017 (Quiet)</td>\n",
       "      <td>0.000068</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  period  break_probability\n",
       "0  2008 Financial Crisis           0.999979\n",
       "5       Mid-2019 (Quiet)           0.999971\n",
       "1         COVID-19 Crash           0.999163\n",
       "3       Mid-2015 (Quiet)           0.989057\n",
       "2      US Debt Downgrade           0.983301\n",
       "4       Mid-2017 (Quiet)           0.000068"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Predict break probability for each period\n",
    "period_X = period_df[[c for c in X.columns if c in period_df.columns]]\n",
    "period_X = period_X.replace([np.inf, -np.inf], np.nan).fillna(0)\n",
    "period_df[\"break_probability\"] = clf.predict_proba(period_X)[:, 1]\n",
    "\n",
    "display(\n",
    "    period_df[[\"period\", \"break_probability\"]].sort_values(\"break_probability\", ascending=False)\n",
    ")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "colors = [\n",
    "    \"red\" if \"Crisis\" in p or \"COVID\" in p or \"Downgrade\" in p else \"blue\"\n",
    "    for p in period_df[\"period\"]\n",
    "]\n",
    "ax.barh(period_df[\"period\"], period_df[\"break_probability\"], color=colors, alpha=0.7)\n",
    "ax.axvline(0.5, color=\"black\", linestyle=\"--\", linewidth=0.5)\n",
    "ax.set_xlabel(\"Break Probability\")\n",
    "ax.set_title(\"Structural Break Detection — SPY Around Key Dates\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ac2644b",
   "metadata": {
    "papermill": {
     "duration": 0.00397,
     "end_time": "2026-06-13T03:33:59.164616+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:59.160646+00:00",
     "status": "completed"
    }
   },
   "source": [
    "**Finding**: The classifier returns near-certain break probability on every\n",
    "crisis period and on two of the three \"quiet\" periods (mid-2015 and mid-2019).\n",
    "Only mid-2017 — the one window with no embedded volatility shift — comes back\n",
    "with a low probability. The lesson is not that the features are useless. They\n",
    "correctly rank the magnitude of distributional change (compare `wasserstein`\n",
    "and `var_ratio` across periods in the table above). It is that a classifier\n",
    "trained on synthetic 500-step windows with magnitude-1 mean/variance shifts\n",
    "cannot be used as a calibrated detector on 1000-day SPY windows: almost any\n",
    "real market window contains a shift larger than the training-time threshold."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80f34957",
   "metadata": {
    "papermill": {
     "duration": 0.00385,
     "end_time": "2026-06-13T03:33:59.172508+00:00",
     "exception": false,
     "start_time": "2026-06-13T03:33:59.168658+00:00",
     "status": "completed"
    }
   },
   "source": [
    "**Caveat**: For production use, train on historical breaks with labeled\n",
    "regime changes (e.g., NBER recession dates, central-bank-policy turning points,\n",
    "or Bai-Perron break dates from a long sample), or use the feature values\n",
    "directly as continuous inputs to a downstream model rather than relying on the\n",
    "classifier's probability calibration."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c263e55b",
   "metadata": {
    "papermill": {
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   "source": [
    "## ml4t-engineer: Break Detection as Polars Expressions\n",
    "\n",
    "The manual feature engineering above computes statistical tests in NumPy.\n",
    "`ml4t-engineer` provides rolling break detection features as Polars\n",
    "expressions — coefficient of variation, KL divergence, Wasserstein\n",
    "distance, and drift — inspired by the ADIA Lab competition insights."
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [coefficient_of_variation] Starting calculation with parameters: window=50 (shape: (7,))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [coefficient_of_variation] Completed calculation (shape: (7,)) (0.02ms)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [rolling_kl_divergence] Starting calculation with parameters: window=100 (shape: (7,))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [rolling_kl_divergence] Completed calculation (shape: (7,)) (0.02ms)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [rolling_wasserstein] Starting calculation with parameters: window=100 (shape: (7,))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [rolling_wasserstein] Completed calculation (shape: (7,)) (0.01ms)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [rolling_drift] Starting calculation with parameters: window=100 (shape: (7,))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-06-12 23:33:59 | mlquant.features.structural_break | INFO | [rolling_drift] Completed calculation (shape: (7,)) (0.01ms)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== ml4t-engineer: Break Detection Features ===\n",
      "  cv        : mean=36.1966, std=272.9440\n",
      "  kl_div    : mean=2.1192, std=1.4922\n",
      "  w_dist    : mean=0.0038, std=0.0040\n",
      "  drift     : mean=-0.0433, std=0.8166\n"
     ]
    }
   ],
   "source": [
    "# Load SPY for ml4t-engineer demonstration\n",
    "spy_break = (\n",
    "    etfs.filter(pl.col(\"symbol\") == \"SPY\")\n",
    "    .select([\"timestamp\", \"close\"])\n",
    "    .sort(\"timestamp\")\n",
    "    .with_columns(returns=pl.col(\"close\").pct_change())\n",
    "    .drop_nulls()\n",
    ")\n",
    "\n",
    "spy_break = spy_break.with_columns(\n",
    "    cv=coefficient_of_variation(\"returns\", window=50),\n",
    "    kl_div=rolling_kl_divergence(\"returns\", window=100),\n",
    "    w_dist=rolling_wasserstein(\"returns\", window=100),\n",
    "    drift=rolling_drift(\"returns\", window=100),\n",
    ")\n",
    "\n",
    "print(\"=== ml4t-engineer: Break Detection Features ===\")\n",
    "for col in [\"cv\", \"kl_div\", \"w_dist\", \"drift\"]:\n",
    "    vals = spy_break[col].drop_nulls()\n",
    "    print(f\"  {col:<10}: mean={vals.mean():.4f}, std={vals.std():.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "These features can be combined with the CUSUM/MOSUM statistics above\n",
    "as input to a classifier (Section 5) or used directly as regime change\n",
    "indicators in downstream ML pipelines."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "009c5ab2",
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   "source": [
    "## Key Takeaways\n",
    "\n",
    "1. **Classical tests** (Zivot-Andrews, Bai-Perron) detect level/trend breaks\n",
    "   but are limited to specific null hypotheses\n",
    "2. **CUSUM/MOSUM** provide online monitoring capability — useful for real-time\n",
    "   regime change detection\n",
    "3. **ML-based classification** (ADIA Lab approach) combines multiple\n",
    "   statistical features into a single classifier; the 5-fold CV AUC of\n",
    "   0.998 on the synthetic benchmark in this notebook reflects the\n",
    "   controlled known-break structure, not real-data performance\n",
    "4. **Five feature families** capture different aspects of distributional change:\n",
    "   location, scale, distribution shape, dependence structure, and alignment\n",
    "5. **Fisher aggregation** combines p-values across window sizes for robust\n",
    "   multi-scale evidence\n",
    "6. The **2nd-place approach** (2,408 features from time series transformations +\n",
    "   LightGBM) demonstrates that brute-force feature engineering combined with\n",
    "   feature selection can rival domain-specific features\n",
    "\n",
    "**Previous**: `01_visual_diagnostics` for stationarity testing fundamentals.\n",
    "**Next**: `03_fractional_differencing` for memory-preserving stationarity transforms."
   ]
  }
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