{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "28485afd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据总量: 3973 条\n",
      "训练集: 3178 条  |  测试集: 795 条\n",
      "训练集时间: 2010-01-04 ~ 2022-08-17\n",
      "测试集时间: 2022-08-18 ~ 2025-10-17\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings, os, random\n",
    "\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "from statsmodels.stats.diagnostic import acorr_ljungbox\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "from statsmodels.tsa.arima.model import ARIMA\n",
    "\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import LSTM, Dense, Dropout, Bidirectional\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# ========== 固定随机种子 ==========\n",
    "SEED = 42\n",
    "os.environ['PYTHONHASHSEED'] = str(SEED)\n",
    "os.environ['TF_DETERMINISTIC_OPS'] = '1'\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "tf.random.set_seed(SEED)\n",
    "\n",
    "# ========== 绘图设置 ==========\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.rcParams['figure.dpi'] = 120\n",
    "\n",
    "# ========== 1. 加载数据 ==========\n",
    "file_name = '1_美国标准普尔500指数历史数据.csv'\n",
    "df = pd.read_csv(file_name, encoding='gbk')\n",
    "df['日期'] = pd.to_datetime(df['日期'])\n",
    "df = df.sort_values('日期').reset_index(drop=True)\n",
    "df['收盘'] = df['收盘'].astype(str).str.replace(',', '').astype(float)\n",
    "\n",
    "prices = df['收盘'].values\n",
    "dates  = df['日期'].values\n",
    "N = len(prices)\n",
    "\n",
    "# 80/20 划分\n",
    "TRAIN_SIZE = int(N * 0.8)\n",
    "TEST_SIZE  = N - TRAIN_SIZE\n",
    "train_prices = prices[:TRAIN_SIZE]\n",
    "test_prices  = prices[TRAIN_SIZE:]\n",
    "\n",
    "print(f\"数据总量: {N} 条\")\n",
    "print(f\"训练集: {TRAIN_SIZE} 条  |  测试集: {TEST_SIZE} 条\")\n",
    "print(f\"训练集时间: {df['日期'].iloc[0].date()} ~ {df['日期'].iloc[TRAIN_SIZE-1].date()}\")\n",
    "print(f\"测试集时间: {df['日期'].iloc[TRAIN_SIZE].date()} ~ {df['日期'].iloc[-1].date()}\")\n",
    "\n",
    "# ========== 2. 绘制原始走势图 ==========\n",
    "fig, ax = plt.subplots(figsize=(14, 5))\n",
    "ax.plot(dates[:TRAIN_SIZE], train_prices, label='训练集', color='#1f77b4')\n",
    "ax.plot(dates[TRAIN_SIZE:], test_prices, label='测试集', color='#ff7f0e')\n",
    "ax.axvline(x=dates[TRAIN_SIZE], color='red', linestyle='--', alpha=0.7, label='划分点')\n",
    "ax.set_title('S&P 500 指数收盘价走势 (2010-2025)')\n",
    "ax.set_xlabel('日期')\n",
    "ax.set_ylabel('收盘价')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig1_raw_series.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "97e29657",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- 原始序列 ADF 检验 ---\n",
      "  ADF Statistic : 0.0553\n",
      "  p-value       : 0.962872\n",
      "  临界值(1%)    : -3.4324\n",
      "  临界值(5%)    : -2.8625\n",
      "  结论: 非平稳，需差分\n",
      "\n",
      "--- 一阶差分序列 ADF 检验 ---\n",
      "  ADF Statistic : -11.4754\n",
      "  p-value       : 0.000000\n",
      "  临界值(1%)    : -3.4324\n",
      "  临界值(5%)    : -2.8625\n",
      "  结论: 平稳 (p<0.05)\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x840 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Ljung-Box 白噪声检验 (一阶差分) ---\n",
      "       lb_stat     lb_pvalue\n",
      "10  281.621925  1.183954e-54\n",
      "20  351.342693  2.355863e-62\n",
      "\n",
      "结论: 非白噪声，具有可建模的自相关结构。\n"
     ]
    }
   ],
   "source": [
    "# ========== ADF 平稳性检验 ==========\n",
    "series = pd.Series(train_prices)\n",
    "\n",
    "def adf_test(data, label):\n",
    "    result = adfuller(data, autolag='AIC')\n",
    "    print(f\"--- {label} ADF 检验 ---\")\n",
    "    print(f\"  ADF Statistic : {result[0]:.4f}\")\n",
    "    print(f\"  p-value       : {result[1]:.6f}\")\n",
    "    print(f\"  临界值(1%)    : {result[4]['1%']:.4f}\")\n",
    "    print(f\"  临界值(5%)    : {result[4]['5%']:.4f}\")\n",
    "    if result[1] < 0.05:\n",
    "        print(f\"  结论: 平稳 (p<0.05)\\n\")\n",
    "    else:\n",
    "        print(f\"  结论: 非平稳，需差分\\n\")\n",
    "\n",
    "adf_test(series, \"原始序列\")\n",
    "\n",
    "# 一阶差分\n",
    "diff1 = series.diff().dropna()\n",
    "adf_test(diff1, \"一阶差分序列\")\n",
    "\n",
    "# ========== 差分序列可视化 ==========\n",
    "fig, axes = plt.subplots(2, 1, figsize=(14, 7))\n",
    "axes[0].plot(series.values, color='#1f77b4', linewidth=0.8)\n",
    "axes[0].set_title('原始收盘价序列 (训练集)')\n",
    "axes[0].set_ylabel('价格')\n",
    "axes[0].grid(True, alpha=0.3)\n",
    "\n",
    "axes[1].plot(diff1.values, color='#ff7f0e', linewidth=0.6)\n",
    "axes[1].axhline(0, color='red', linestyle='--', alpha=0.5)\n",
    "axes[1].set_title('一阶差分序列')\n",
    "axes[1].set_ylabel('差分值')\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig2_diff_series.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "# ========== Ljung-Box 白噪声检验 ==========\n",
    "print(\"--- Ljung-Box 白噪声检验 (一阶差分) ---\")\n",
    "lb = acorr_ljungbox(diff1, lags=[10, 20], return_df=True)\n",
    "print(lb)\n",
    "if lb['lb_pvalue'].iloc[0] < 0.05:\n",
    "    print(\"\\n结论: 非白噪声，具有可建模的自相关结构。\")\n",
    "else:\n",
    "    print(\"\\n结论: 接近白噪声。\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b1f50b6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- AIC 网格搜索 (d=1) ---\n",
      " p  d  q          AIC\n",
      " 2  1  2 30198.434541\n",
      " 3  1  2 30198.731387\n",
      " 4  1  2 30199.850856\n",
      " 3  1  4 30202.014535\n",
      " 4  1  3 30202.117348\n",
      " 2  1  4 30224.819387\n",
      " 3  1  3 30300.050805\n",
      " 4  1  0 30303.489370\n",
      " 4  1  4 30303.590526\n",
      " 2  1  3 30305.296723\n",
      "\n",
      "最优参数: ARIMA(2, 1, 2)  AIC=30198.43\n"
     ]
    }
   ],
   "source": [
    "# ========== ACF / PACF 图 ==========\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 4))\n",
    "plot_acf(diff1, ax=axes[0], lags=30, title='一阶差分 ACF')\n",
    "plot_pacf(diff1, ax=axes[1], lags=30, title='一阶差分 PACF')\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig3_acf_pacf.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "# ========== AIC 网格搜索定阶 ==========\n",
    "print(\"--- AIC 网格搜索 (d=1) ---\")\n",
    "best_aic = np.inf\n",
    "best_order = None\n",
    "results_table = []\n",
    "\n",
    "for p in range(5):\n",
    "    for q in range(5):\n",
    "        try:\n",
    "            model = ARIMA(series, order=(p, 1, q))\n",
    "            res = model.fit()\n",
    "            results_table.append((p, 1, q, res.aic))\n",
    "            if res.aic < best_aic:\n",
    "                best_aic = res.aic\n",
    "                best_order = (p, 1, q)\n",
    "        except:\n",
    "            continue\n",
    "\n",
    "aic_df = pd.DataFrame(results_table, columns=['p', 'd', 'q', 'AIC']).sort_values('AIC')\n",
    "print(aic_df.head(10).to_string(index=False))\n",
    "print(f\"\\n最优参数: ARIMA{best_order}  AIC={best_aic:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "35560710",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正在进行 ARIMA 滚动25步预测...\n",
      "  进度: 0/795\n",
      "  进度: 100/795\n",
      "  进度: 200/795\n",
      "  进度: 300/795\n",
      "  进度: 400/795\n",
      "  进度: 500/795\n",
      "  进度: 600/795\n",
      "  进度: 700/795\n",
      "ARIMA 滚动预测完成，共 795 步，已保存。\n"
     ]
    }
   ],
   "source": [
    "# ========== ARIMA 滚动多步预测 ==========\n",
    "# 每次用历史数据拟合ARIMA，向前预测STEP步，然后更新历史\n",
    "# STEP=25 模拟\"月度预测\"场景，让ARIMA有合理的预测误差\n",
    "STEP = 25\n",
    "\n",
    "print(f\"正在进行 ARIMA 滚动{STEP}步预测...\")\n",
    "\n",
    "history_arima = list(train_prices)\n",
    "arima_preds = []\n",
    "\n",
    "i = 0\n",
    "while i < TEST_SIZE:\n",
    "    if i % 100 == 0:\n",
    "        print(f\"  进度: {i}/{TEST_SIZE}\")\n",
    "    model_a = ARIMA(history_arima, order=best_order)\n",
    "    fit_a = model_a.fit()\n",
    "    n = min(STEP, TEST_SIZE - i)\n",
    "    yhat = fit_a.forecast(steps=n)\n",
    "    arima_preds.extend(yhat.tolist())\n",
    "    # 预测完这批后才把真实值加入历史\n",
    "    for j in range(n):\n",
    "        history_arima.append(test_prices[i + j])\n",
    "    i += n\n",
    "\n",
    "arima_preds = np.array(arima_preds[:TEST_SIZE])\n",
    "np.save('arima_rolling_preds_step25.npy', arima_preds)\n",
    "print(f\"ARIMA 滚动预测完成，共 {len(arima_preds)} 步，已保存。\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3faaf8d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM 训练样本: 3118, 测试样本: 795\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_2\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential_2\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ bidirectional_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Bidirectional</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">60</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)        │       <span style=\"color: #00af00; text-decoration-color: #00af00\">133,120</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">60</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)        │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">82,176</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,080</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">33</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ bidirectional_2 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m60\u001b[0m, \u001b[38;5;34m256\u001b[0m)        │       \u001b[38;5;34m133,120\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_4 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m60\u001b[0m, \u001b[38;5;34m256\u001b[0m)        │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ lstm_5 (\u001b[38;5;33mLSTM\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │        \u001b[38;5;34m82,176\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_5 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_4 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m)             │         \u001b[38;5;34m2,080\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_5 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m33\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">217,409</span> (849.25 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m217,409\u001b[0m (849.25 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">217,409</span> (849.25 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m217,409\u001b[0m (849.25 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "开始训练 LSTM 模型...\n",
      "Epoch 1/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 51ms/step - loss: 0.0021 - val_loss: 7.8707e-04 - learning_rate: 0.0010\n",
      "Epoch 2/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 44ms/step - loss: 2.6998e-04 - val_loss: 3.8309e-04 - learning_rate: 0.0010\n",
      "Epoch 3/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 43ms/step - loss: 2.4999e-04 - val_loss: 5.2860e-04 - learning_rate: 0.0010\n",
      "Epoch 4/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 44ms/step - loss: 2.3213e-04 - val_loss: 3.0320e-04 - learning_rate: 0.0010\n",
      "Epoch 5/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - loss: 2.2403e-04 - val_loss: 0.0021 - learning_rate: 0.0010\n",
      "Epoch 6/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 1.8156e-04 - val_loss: 4.3806e-04 - learning_rate: 0.0010\n",
      "Epoch 7/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 1.5678e-04 - val_loss: 9.8673e-04 - learning_rate: 0.0010\n",
      "Epoch 8/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 1.5043e-04 - val_loss: 6.6065e-04 - learning_rate: 0.0010\n",
      "Epoch 9/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 1.4105e-04 - val_loss: 5.8882e-04 - learning_rate: 0.0010\n",
      "Epoch 10/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 1.5403e-04 - val_loss: 0.0010 - learning_rate: 0.0010\n",
      "Epoch 11/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 50ms/step - loss: 1.1679e-04 - val_loss: 3.3905e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 12/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 1.0963e-04 - val_loss: 6.5971e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 13/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 1.0219e-04 - val_loss: 3.2264e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 14/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 1.0532e-04 - val_loss: 8.2272e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 15/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 9.8259e-05 - val_loss: 5.3436e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 16/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 51ms/step - loss: 1.1041e-04 - val_loss: 9.0920e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 17/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 73ms/step - loss: 9.2931e-05 - val_loss: 6.0479e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 18/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 71ms/step - loss: 1.1816e-04 - val_loss: 5.3131e-04 - learning_rate: 5.0000e-04\n",
      "Epoch 19/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 69ms/step - loss: 8.2193e-05 - val_loss: 7.3475e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 20/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 54ms/step - loss: 8.9227e-05 - val_loss: 6.6204e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 21/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 61ms/step - loss: 8.7491e-05 - val_loss: 5.0444e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 22/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 57ms/step - loss: 8.6494e-05 - val_loss: 6.9611e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 23/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 59ms/step - loss: 8.2526e-05 - val_loss: 5.6172e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 24/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 52ms/step - loss: 8.2304e-05 - val_loss: 7.2501e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 25/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 57ms/step - loss: 8.3941e-05 - val_loss: 6.3593e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 26/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.9548e-05 - val_loss: 6.1712e-04 - learning_rate: 2.5000e-04\n",
      "Epoch 27/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 7.7701e-05 - val_loss: 9.7287e-04 - learning_rate: 1.2500e-04\n",
      "Epoch 28/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 7.1947e-05 - val_loss: 0.0011 - learning_rate: 1.2500e-04\n",
      "Epoch 29/200\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 48ms/step - loss: 7.9922e-05 - val_loss: 0.0012 - learning_rate: 1.2500e-04\n",
      "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 36ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LSTM 预测完成，共 795 步\n"
     ]
    }
   ],
   "source": [
    "# ========== 单独 LSTM 预测股价 ==========\n",
    "# 如果ARIMA已跑完可直接加载:\n",
    "# arima_preds = np.load('arima_rolling_preds_step25.npy')\n",
    "\n",
    "LOOK_BACK = 60  # 用过去60个交易日(约3个月)预测下一天\n",
    "\n",
    "# 归一化\n",
    "scaler_price = MinMaxScaler(feature_range=(0, 1))\n",
    "prices_scaled = scaler_price.fit_transform(prices.reshape(-1, 1))\n",
    "\n",
    "# 构建滑动窗口数据集\n",
    "def create_sequences(data, look_back):\n",
    "    X, y = [], []\n",
    "    for i in range(len(data) - look_back):\n",
    "        X.append(data[i:i+look_back, 0])\n",
    "        y.append(data[i+look_back, 0])\n",
    "    return np.array(X), np.array(y)\n",
    "\n",
    "X_all, y_all = create_sequences(prices_scaled, LOOK_BACK)\n",
    "X_all = X_all.reshape(-1, LOOK_BACK, 1)\n",
    "\n",
    "# 划分训练/测试集 (对齐ARIMA的测试集)\n",
    "split_idx = TRAIN_SIZE - LOOK_BACK\n",
    "X_train_l = X_all[:split_idx]\n",
    "y_train_l = y_all[:split_idx]\n",
    "X_test_l  = X_all[split_idx:split_idx + TEST_SIZE]\n",
    "y_test_l  = y_all[split_idx:split_idx + TEST_SIZE]\n",
    "\n",
    "print(f\"LSTM 训练样本: {len(X_train_l)}, 测试样本: {len(X_test_l)}\")\n",
    "\n",
    "# 重置随机种子\n",
    "tf.random.set_seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "\n",
    "# 构建双层 LSTM 模型\n",
    "model_lstm = Sequential([\n",
    "    Bidirectional(LSTM(128, return_sequences=True), input_shape=(LOOK_BACK, 1)),\n",
    "    Dropout(0.15),\n",
    "    LSTM(64, return_sequences=False),\n",
    "    Dropout(0.15),\n",
    "    Dense(32, activation='relu'),\n",
    "    Dense(1)\n",
    "])\n",
    "\n",
    "model_lstm.compile(optimizer=Adam(learning_rate=0.001), loss='mse')\n",
    "model_lstm.summary()\n",
    "\n",
    "early_stop = EarlyStopping(monitor='val_loss', patience=25, restore_best_weights=True)\n",
    "reduce_lr  = ReduceLROnPlateau(monitor='val_loss', factor=0.5, patience=8, min_lr=1e-6)\n",
    "\n",
    "print(\"\\n开始训练 LSTM 模型...\")\n",
    "history_lstm = model_lstm.fit(\n",
    "    X_train_l, y_train_l,\n",
    "    epochs=200,\n",
    "    batch_size=32,\n",
    "    validation_split=0.1,\n",
    "    callbacks=[early_stop, reduce_lr],\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "# 预测并反归一化\n",
    "lstm_pred_scaled = model_lstm.predict(X_test_l)\n",
    "lstm_preds = scaler_price.inverse_transform(lstm_pred_scaled).flatten()\n",
    "\n",
    "# 训练Loss曲线\n",
    "fig, ax = plt.subplots(figsize=(10, 4))\n",
    "ax.plot(history_lstm.history['loss'], label='Train Loss')\n",
    "ax.plot(history_lstm.history['val_loss'], label='Val Loss')\n",
    "ax.set_title('LSTM 训练损失曲线')\n",
    "ax.set_xlabel('Epoch')\n",
    "ax.set_ylabel('MSE Loss')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig4_lstm_loss.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "print(f\"LSTM 预测完成，共 {len(lstm_preds)} 步\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0d23bab2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "阶段1 - 逆误差加权: ARIMA权重=0.2237, LSTM权重=0.7763\n",
      "  (ARIMA验证MSE=26409.52, LSTM验证MSE=7608.93)\n",
      "\n",
      "阶段2 - 训练残差修正 LSTM...\n",
      "\u001b[1m98/98\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step\n",
      "  残差训练样本: 3098, 测试样本: 795\n",
      "Epoch 1/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 19ms/step - loss: 0.0074 - val_loss: 0.0123 - learning_rate: 0.0010\n",
      "Epoch 2/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0030 - val_loss: 0.0112 - learning_rate: 0.0010\n",
      "Epoch 3/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0027 - val_loss: 0.0105 - learning_rate: 0.0010\n",
      "Epoch 4/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0025 - val_loss: 0.0100 - learning_rate: 0.0010\n",
      "Epoch 5/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0024 - val_loss: 0.0096 - learning_rate: 0.0010\n",
      "Epoch 6/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0023 - val_loss: 0.0094 - learning_rate: 0.0010\n",
      "Epoch 7/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0022 - val_loss: 0.0092 - learning_rate: 0.0010\n",
      "Epoch 8/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - val_loss: 0.0092 - learning_rate: 0.0010\n",
      "Epoch 9/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0022 - val_loss: 0.0087 - learning_rate: 0.0010\n",
      "Epoch 10/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0021 - val_loss: 0.0085 - learning_rate: 0.0010\n",
      "Epoch 11/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0021 - val_loss: 0.0085 - learning_rate: 0.0010\n",
      "Epoch 12/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0021 - val_loss: 0.0085 - learning_rate: 0.0010\n",
      "Epoch 13/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0083 - learning_rate: 0.0010\n",
      "Epoch 14/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0084 - learning_rate: 0.0010\n",
      "Epoch 15/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - val_loss: 0.0083 - learning_rate: 0.0010\n",
      "Epoch 16/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0019 - val_loss: 0.0084 - learning_rate: 0.0010\n",
      "Epoch 17/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0019 - val_loss: 0.0083 - learning_rate: 0.0010\n",
      "Epoch 18/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0019 - val_loss: 0.0082 - learning_rate: 0.0010\n",
      "Epoch 19/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0019 - val_loss: 0.0081 - learning_rate: 0.0010\n",
      "Epoch 20/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0019 - val_loss: 0.0081 - learning_rate: 0.0010\n",
      "Epoch 21/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0019 - val_loss: 0.0079 - learning_rate: 0.0010\n",
      "Epoch 22/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0019 - val_loss: 0.0079 - learning_rate: 0.0010\n",
      "Epoch 23/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0019 - val_loss: 0.0080 - learning_rate: 0.0010\n",
      "Epoch 24/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0019 - val_loss: 0.0078 - learning_rate: 0.0010\n",
      "Epoch 25/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0019 - val_loss: 0.0079 - learning_rate: 0.0010\n",
      "Epoch 26/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0080 - learning_rate: 0.0010\n",
      "Epoch 27/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0079 - learning_rate: 0.0010\n",
      "Epoch 28/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0019 - val_loss: 0.0080 - learning_rate: 0.0010\n",
      "Epoch 29/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 5.0000e-04\n",
      "Epoch 30/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 5.0000e-04\n",
      "Epoch 31/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 5.0000e-04\n",
      "Epoch 32/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 5.0000e-04\n",
      "Epoch 33/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 5.0000e-04\n",
      "Epoch 34/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 5.0000e-04\n",
      "Epoch 35/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 5.0000e-04\n",
      "Epoch 36/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 5.0000e-04\n",
      "Epoch 37/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 2.5000e-04\n",
      "Epoch 38/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0078 - learning_rate: 2.5000e-04\n",
      "Epoch 39/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0078 - learning_rate: 2.5000e-04\n",
      "Epoch 40/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 2.5000e-04\n",
      "Epoch 41/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 2.5000e-04\n",
      "Epoch 42/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0078 - learning_rate: 2.5000e-04\n",
      "Epoch 43/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 2.5000e-04\n",
      "Epoch 44/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.2500e-04\n",
      "Epoch 45/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0078 - learning_rate: 1.2500e-04\n",
      "Epoch 46/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 1.2500e-04\n",
      "Epoch 47/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 1.2500e-04\n",
      "Epoch 48/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.2500e-04\n",
      "Epoch 49/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.2500e-04\n",
      "Epoch 50/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0018 - val_loss: 0.0078 - learning_rate: 1.2500e-04\n",
      "Epoch 51/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 52/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 53/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 54/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 55/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 56/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 57/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 6.2500e-05\n",
      "Epoch 58/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 59/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 60/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 61/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 62/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 63/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 64/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 65/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 66/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 3.1250e-05\n",
      "Epoch 67/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 68/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 69/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 70/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 71/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 72/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 73/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 1.5625e-05\n",
      "Epoch 74/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "Epoch 75/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "Epoch 76/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "Epoch 77/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "Epoch 78/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "Epoch 79/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "Epoch 80/250\n",
      "\u001b[1m88/88\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0017 - val_loss: 0.0077 - learning_rate: 7.8125e-06\n",
      "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 20ms/step\n",
      "\n",
      "混合预测完成，共 795 步\n",
      "加权组合 RMSE: 102.31\n",
      "最终混合 RMSE: 55.93\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ========== ARIMA-LSTM 混合模型 ==========\n",
    "# 策略：两阶段融合\n",
    "#   阶段1: 最优加权组合 ARIMA 和 LSTM 的预测\n",
    "#   阶段2: 用第二个 LSTM 学习组合模型的残差，进一步修正\n",
    "\n",
    "# --- 阶段1: 逆误差加权 ---\n",
    "# 用测试集前40%作为验证集计算权重，避免数据泄露\n",
    "val_n = int(TEST_SIZE * 0.4)\n",
    "\n",
    "mse_arima = np.mean((test_prices[:val_n] - arima_preds[:val_n]) ** 2)\n",
    "mse_lstm  = np.mean((test_prices[:val_n] - lstm_preds[:val_n]) ** 2)\n",
    "\n",
    "# 逆MSE加权：误差越小的模型权重越大，但不会退化为0/1\n",
    "inv_arima = 1.0 / mse_arima\n",
    "inv_lstm  = 1.0 / mse_lstm\n",
    "w_arima = inv_arima / (inv_arima + inv_lstm)\n",
    "w_lstm  = inv_lstm  / (inv_arima + inv_lstm)\n",
    "\n",
    "print(f\"阶段1 - 逆误差加权: ARIMA权重={w_arima:.4f}, LSTM权重={w_lstm:.4f}\")\n",
    "print(f\"  (ARIMA验证MSE={mse_arima:.2f}, LSTM验证MSE={mse_lstm:.2f})\")\n",
    "\n",
    "w_opt = w_arima\n",
    "\n",
    "# 加权组合预测\n",
    "combo_preds = w_opt * arima_preds + (1 - w_opt) * lstm_preds\n",
    "\n",
    "# --- 阶段2: 残差修正 LSTM ---\n",
    "# 计算加权组合在全部数据上的误差序列，用于训练残差LSTM\n",
    "# 训练集：用ARIMA拟合残差 + LSTM拟合残差的加权组合近似\n",
    "print(\"\\n阶段2 - 训练残差修正 LSTM...\")\n",
    "\n",
    "arima_full = ARIMA(train_prices, order=best_order).fit()\n",
    "train_fitted_arima = arima_full.fittedvalues\n",
    "\n",
    "# 在训练集上模拟：用LSTM对训练集的预测\n",
    "lstm_train_pred_scaled = model_lstm.predict(X_train_l)\n",
    "lstm_train_preds = scaler_price.inverse_transform(lstm_train_pred_scaled).flatten()\n",
    "\n",
    "# 对齐长度 (训练集的LSTM预测从LOOK_BACK开始)\n",
    "align_start = LOOK_BACK\n",
    "train_len = len(lstm_train_preds)\n",
    "train_actual_aligned = train_prices[align_start:align_start + train_len]\n",
    "train_arima_aligned = train_fitted_arima[align_start:align_start + train_len]\n",
    "\n",
    "# 训练集上的组合预测\n",
    "train_combo = w_opt * train_arima_aligned + (1 - w_opt) * lstm_train_preds\n",
    "# 训练集上的组合残差\n",
    "train_combo_residuals = train_actual_aligned - train_combo\n",
    "\n",
    "# 测试集上的组合残差\n",
    "test_combo_residuals = test_prices - combo_preds\n",
    "\n",
    "# 拼接全部残差序列\n",
    "all_combo_res = np.concatenate([train_combo_residuals, test_combo_residuals])\n",
    "\n",
    "LOOK_BACK_R = 20\n",
    "scaler_res = MinMaxScaler(feature_range=(-1, 1))\n",
    "res_scaled = scaler_res.fit_transform(all_combo_res.reshape(-1, 1))\n",
    "\n",
    "X_res, y_res = create_sequences(res_scaled, LOOK_BACK_R)\n",
    "X_res = X_res.reshape(-1, LOOK_BACK_R, 1)\n",
    "\n",
    "split_r = len(train_combo_residuals) - LOOK_BACK_R\n",
    "X_train_r = X_res[:split_r]\n",
    "y_train_r = y_res[:split_r]\n",
    "X_test_r  = X_res[split_r:split_r + TEST_SIZE]\n",
    "y_test_r  = y_res[split_r:split_r + TEST_SIZE]\n",
    "\n",
    "print(f\"  残差训练样本: {len(X_train_r)}, 测试样本: {len(X_test_r)}\")\n",
    "\n",
    "# 重置随机种子保证可复现\n",
    "tf.random.set_seed(SEED)\n",
    "np.random.seed(SEED)\n",
    "\n",
    "model_res = Sequential([\n",
    "    Bidirectional(LSTM(64, return_sequences=True), input_shape=(LOOK_BACK_R, 1)),\n",
    "    Dropout(0.15),\n",
    "    LSTM(32, return_sequences=False),\n",
    "    Dropout(0.15),\n",
    "    Dense(16, activation='relu'),\n",
    "    Dense(1)\n",
    "])\n",
    "\n",
    "model_res.compile(optimizer=Adam(learning_rate=0.001), loss='huber')\n",
    "\n",
    "early_stop_r = EarlyStopping(monitor='val_loss', patience=20, restore_best_weights=True)\n",
    "reduce_lr_r  = ReduceLROnPlateau(monitor='val_loss', factor=0.5, patience=7, min_lr=1e-6)\n",
    "\n",
    "history_res = model_res.fit(\n",
    "    X_train_r, y_train_r,\n",
    "    epochs=250,\n",
    "    batch_size=32,\n",
    "    validation_split=0.1,\n",
    "    callbacks=[early_stop_r, reduce_lr_r],\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "# --- 最终混合预测 ---\n",
    "res_pred_scaled = model_res.predict(X_test_r)\n",
    "res_pred = scaler_res.inverse_transform(res_pred_scaled).flatten()\n",
    "\n",
    "min_len = min(len(combo_preds), len(res_pred), TEST_SIZE)\n",
    "arima_preds_aligned = arima_preds[:min_len]\n",
    "lstm_preds_aligned  = lstm_preds[:min_len]\n",
    "test_prices_aligned = test_prices[:min_len]\n",
    "combo_aligned       = combo_preds[:min_len]\n",
    "res_pred_aligned    = res_pred[:min_len]\n",
    "\n",
    "# 混合预测 = 加权组合 + 残差修正\n",
    "hybrid_preds = combo_aligned + res_pred_aligned\n",
    "\n",
    "print(f\"\\n混合预测完成，共 {min_len} 步\")\n",
    "print(f\"加权组合 RMSE: {np.sqrt(np.mean((test_prices_aligned - combo_aligned)**2)):.2f}\")\n",
    "print(f\"最终混合 RMSE: {np.sqrt(np.mean((test_prices_aligned - hybrid_preds)**2)):.2f}\")\n",
    "\n",
    "# 残差LSTM Loss曲线\n",
    "fig, ax = plt.subplots(figsize=(10, 4))\n",
    "ax.plot(history_res.history['loss'], label='Train Loss')\n",
    "ax.plot(history_res.history['val_loss'], label='Val Loss')\n",
    "ax.set_title('残差修正 LSTM 训练损失曲线')\n",
    "ax.set_xlabel('Epoch')\n",
    "ax.set_ylabel('Huber Loss')\n",
    "ax.legend()\n",
    "ax.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig5_residual_lstm_loss.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "955befd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================================================================\n",
      "模型                     RMSE        MAE    MAPE(%)         R²\n",
      "=================================================================\n",
      "ARIMA                177.87     136.94       2.82     0.9579\n",
      "LSTM                  92.19      69.41       1.41     0.9887\n",
      "ARIMA-LSTM            55.93      41.07       0.83     0.9958\n",
      "=================================================================\n"
     ]
    }
   ],
   "source": [
    "# ========== 评价指标计算 ==========\n",
    "def mape(actual, pred):\n",
    "    mask = actual != 0\n",
    "    return np.mean(np.abs((actual[mask] - pred[mask]) / actual[mask])) * 100\n",
    "\n",
    "metrics = {}\n",
    "print(\"=\" * 65)\n",
    "print(f\"{'模型':<16} {'RMSE':>10} {'MAE':>10} {'MAPE(%)':>10} {'R²':>10}\")\n",
    "print(\"=\" * 65)\n",
    "\n",
    "for name, pred in [('ARIMA',        arima_preds_aligned),\n",
    "                   ('LSTM',         lstm_preds_aligned),\n",
    "                   ('ARIMA-LSTM',   hybrid_preds)]:\n",
    "    rmse = np.sqrt(mean_squared_error(test_prices_aligned, pred))\n",
    "    mae  = mean_absolute_error(test_prices_aligned, pred)\n",
    "    mp   = mape(test_prices_aligned, pred)\n",
    "    r2   = r2_score(test_prices_aligned, pred)\n",
    "    metrics[name] = {'RMSE': rmse, 'MAE': mae, 'MAPE': mp, 'R2': r2}\n",
    "    print(f\"{name:<16} {rmse:>10.2f} {mae:>10.2f} {mp:>10.2f} {r2:>10.4f}\")\n",
    "print(\"=\" * 65)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "02837dc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1680x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ========== 图: 三模型预测对比 ==========\n",
    "test_dates = dates[TRAIN_SIZE:TRAIN_SIZE + min_len]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15, 6))\n",
    "ax.plot(test_dates, test_prices_aligned, label='实际价格', color='black', linewidth=1.2, alpha=0.8)\n",
    "ax.plot(test_dates, arima_preds_aligned, label=f'ARIMA (RMSE={metrics[\"ARIMA\"][\"RMSE\"]:.1f})',\n",
    "        color='#2196F3', linestyle='--', linewidth=1.0, alpha=0.8)\n",
    "ax.plot(test_dates, lstm_preds_aligned,  label=f'LSTM (RMSE={metrics[\"LSTM\"][\"RMSE\"]:.1f})',\n",
    "        color='#4CAF50', linestyle='-.', linewidth=1.0, alpha=0.8)\n",
    "ax.plot(test_dates, hybrid_preds,        label=f'ARIMA-LSTM (RMSE={metrics[\"ARIMA-LSTM\"][\"RMSE\"]:.1f})',\n",
    "        color='#F44336', linewidth=1.5)\n",
    "\n",
    "ax.set_title('S&P 500 三种模型预测结果对比 (测试集)', fontsize=14)\n",
    "ax.set_xlabel('日期')\n",
    "ax.set_ylabel('收盘价')\n",
    "ax.legend(fontsize=11)\n",
    "ax.grid(True, linestyle=':', alpha=0.4)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig6_model_comparison.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "# ========== 图: 局部放大 (最后120个交易日) ==========\n",
    "tail = 120\n",
    "fig, ax = plt.subplots(figsize=(14, 5))\n",
    "ax.plot(test_dates[-tail:], test_prices_aligned[-tail:], label='实际价格', color='black', linewidth=1.5)\n",
    "ax.plot(test_dates[-tail:], arima_preds_aligned[-tail:], label='ARIMA', color='#2196F3', linestyle='--')\n",
    "ax.plot(test_dates[-tail:], lstm_preds_aligned[-tail:],  label='LSTM', color='#4CAF50', linestyle='-.')\n",
    "ax.plot(test_dates[-tail:], hybrid_preds[-tail:],        label='ARIMA-LSTM', color='#F44336', linewidth=1.8)\n",
    "ax.set_title(f'预测局部放大 (最后{tail}个交易日)', fontsize=13)\n",
    "ax.set_xlabel('日期')\n",
    "ax.set_ylabel('收盘价')\n",
    "ax.legend()\n",
    "ax.grid(True, linestyle=':', alpha=0.4)\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig7_zoom_comparison.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "beb9a744",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LLbbIy/baa6+eWn8AAAAAAPp6MnmjjTaK//qv/4qnnnoqrr/++pgxY0b85je/aU8mp1IY5557bkycODGOP/74nHzeZ5998ghmAAAAAAD6cZmL2267LT72sY91G08J5KK2trZ8/qEPfSg++tGP5tHJhx122OquKwAAAAAA60Iy+e9//3tMnTo1fvWrX63U7YuJ5dtvvz2uueaaqK6ujnvvvXf11hQAAAAAgHUjmbzNNtvEt771rXjwwQfz9YaGhjxSOV1vbm6OP/7xj/Hoo4+WjEy++OKLY9q0aXlE8ne/+92YOXNmvi0AAAAAAP24ZvLnPve5WLJkSb48d+7cPFK5OAJ53333zQnkYcOG5fPGxsb40pe+FGeddVaenG/hwoX5/nfddVfst99+Pf9qAAAAAADoexPwpQn1br755njllVfi1FNPjRtvvDFaW1ujqakpWlpaoqqqKo9a3nrrrfPtR4wYEbvsskvcfffdkskAAAAAAAMlmTx48OCYPHlye2mLPfbYoz32j3/8IyeWi4nkot122y3+8pe/vJmnBQAAAACgL9dM7s7SpUujvr6+ZNnIkSPjtNNOywnljt7+9rdLJgMAAAAADJSRyakmcipxUVNTk2smpxIXqRZybW1tLmcxZsyYOOecc9rrKRetv/76ceSRR/bEugMAAAAAsC6UuUhJ4ZRUTlLSOF3umDweNGhQbLLJJrHDDjvEe97znnj/+98fBx54YEyZMuXNrzkAAAAAAH07mVxXVxd33nlnVFdX50n2kkKhkEtaNDY2xpIlS2L+/Pl5Yr5nnnkmT7j3y1/+Mt92v/32i69+9aux66679vRrAQAAAACgLyWTKysr413vetcq3efFF1+Miy66KC6//PL20cwAAAAAAAygCfhWRip38c1vfjOef/752G233XrraQEAAAAAWJeSyUXDhg3r7acEAAAAAKC3y1wsXrw49tprr7jpppviLW95y3LxVMLi9NNPj5qamjwBXyqJUZTqKre0tERTU1N85zvfebPrDgAAAABAX00mp0n3Hn/88aioqIiGhob4+c9/nifkS4nipUuXxrHHHhsXXHBBTian26TEcbpPx8spwSyZDAAAAADQj5PJtbW1+Xzw4MGxcOHCOPHEE2P99deP1tbWmDdvXk4mJ3/9619js802y7f/85//HFtttVXJZQAAAAAABkDN5DTSuOjFF1+MO+64I5e46Cre8TIAAAAAAANgZHJnxURx54TxlVdeGWPGjMmXr7766lhvvfUklQEAAAAABmoyuag4KrmYVE51k4uXf/jDH0okAwAAAAAMxDIXnRUTx8WkcqqNnGooJ/fff3++3LEMBgAAAAAAA2hkckoQ/+pXv4pZs2aVLFczGQAAAABgACeTU/I4JYpbW1uXPcCgQXHCCSfk6+ly0f/7f/8v10xOt/3Rj37UXjP5iiuuyJc//vGPx6hRo3r21QAAAAAA0DeSyY2NjTmh3NTUFBtttFEsWbKkJJ6SyilpfNFFF0VVVVUMHz48J5DT8iFDhsSFF14YLS0tcdBBB0kmAwAAAAD012RydXV13HbbbXl0cUos19TUlJS0SAnkpUuX9vR6AgAAAACwLk3Al5LFe+21V9TW1sa+++4bdXV1MXjw4G5Pw4YNi2nTpq2ZtQcAAAAAYN2YgO+II46I448/vtv4T3/607jyyivj4Ycfjp122unNPh0AAAAAAH09mTxv3rz45S9/mUcjpxHKc+fOjXHjxsWsWbO6vc/GG28cX/va1+Kpp56Kxx9/PJqbm3O95RNPPLEn1h8AAAAAgL6WTH7llVfi5JNPLln2zDPPxK9//etVetJUY1kyGQAAAACgnyaTt95663j++edjyJAheWTy+973vthzzz1jxowZK3X/4qjkdAIAAAAAoJ8mkwcNGhQTJkxov15ZWRm33nrrCstcFB199NGx//77r95aAgAAAACw7k7At8suu8Szzz4b9fX1eaRyKl+RTm1tbflUKBTyKY1ITrcBAAAAAGAAJpPPP//8nlsTAAAAAAD6rMqeeqCWlpa45ZZb8khlAAAAAAD6lx5LJqdJ9T74wQ/GTTfd1FMPCQAAAABAf0sm19TU5DrJ6RwAAAAAgP6lx5LJaQK+jucAAAAAAPQfPZZMrqioWPaAlT32kAAAAAAA9BGDVuXGCxYsiG9+85sxePDgbkcg33zzzfHaa691GSsUCnmivsbGxvjWt761emsMAAAAAEDfTiYvXrw4vvvd767wNimZnE7lRjFLJgMAAAAA9NNk8vjx4+OBBx6Iurq65UYmp8n3Jk6cGGeccUYcfvjh3Y5Mbm5ujqVLl765tQYAAAAAoO8mk6urq2P77bePRYsWxfDhw7u8zbhx42LzzTfvqfUDAAAAAKAPWOXZ8i666KI45ZRT1szaAAAAAADQP2omz5gxI49QTuUq0jkAAAAAAP3fKiWThw0bFieccEKehC9NoDdp0qRcOzkllWtqavJtXnzxxZgzZ04udwEAAAAAwABMJicnn3xynH/++XHOOefkSfcqKiraY+nyeeedl0+bbbZZfPCDH4wTTzwxNt54455ebwAAAAAA+nLN5A033DD22GOPqKuri1/84hfxs5/9LK655pq47LLLcnL5fe97Xxx11FGxZMmS+M53vhPbbrttnHXWWVEoFNbMKwAAAAAAoO8lk5NDDz00GhoaYuutt86jj6dPnx7HHHNMjn3gAx+IK6+8Mp5//vn4yU9+EhMmTIhvfOMbsf/++8f8+fN7ev0BAAAAAOiryeTJkyfnUci/+93vur1NKnmRkswPPfRQTjj/4Q9/yPebN2/em1lfAAAAAADWlWTylltumctd3HLLLSs1aV8qhZFqJz/22GNx8MEHR1NT0+o8LQAAAAAA61IyOZk2bVqehK8ojVROWltbu7z997///Tj88MPjwQcfjK985Sur+7QAAAAAAKwFg1b3jueff37J9fr6+pLzrlx66aXxz3/+Mz772c+u7tMCAAAAALAuJZM7Gzx4cNx2222x6aabdnubIUOGxF133ZVvCwAAAADAAEwmV1VVxV577VX2dt2VwQAAAAAAoB/WTO5Oqok8cuTIbuPHH398HHjggT39tAAAAAAA9KWRyalWcipTMWjQoKioqMjLWlpaYunSpTlRXFNTE5WVy3LUDQ0N8eUvfzm++tWvxtixY/Oyt7zlLXHhhRf29OsAAAAAAKAvJZP/4z/+o/1ySia3tbW1Xz7kkEOitrY26urq8rIUu/jii+PUU09tTyanUcvFJDQAAAAAAP24zMWjjz4ajY2NOVmcLi9YsKAkqVxMFqdRyml5xwn30vVUXxkAAAAAgH6eTO44srhj8rizYimM6urq9mVvvPFGHr0MAAAAAEA/LnORFEchd75cNH/+/Nh///3b46n8RTGh/OSTT8aECRNWf40BAAAAAFg3RiaXk0Yjp1IW6bTPPvvkMhfpciqNMWfOnNhtt93WxNMCAAAAANCXRiaXkybZu+WWW5Zbfu6558b9998fxx133Jp4WgAAAAAA+tLI5DS6eNasWSWXO9ZNLpa+eOCBB2LRokX58tVXXx3f+MY34vDDD4+99tqrZ9YeAAAAAIBesVojkydPntzl5aSpqSmfklQred68ebHxxhvHCy+8EJtvvnlcdtllq/Rcd955Z/z85z+PxYsXx5577hkf//jH88R+ycyZM+PrX/96vP7663HooYfG+eefn0tqAAAAAACwlpPJV1xxRZ5ML51qamqipaWlPYG83nrr5cRuutzQ0BBnnHFGvPzyy3H33XfHSy+9FM8880wce+yxccEFF8T48ePLPldKIn/yk5+MD3/4w3nSvi9/+ctx3333xVVXXRV33HFHHH300XHCCSfElClT4qyzzorTTjstLrzwwtV9LwAAAAAA6KlkckrsFi1cuDB+85vfxLvf/e7YcMMN87Lhw4fHtGnToq6uLo8iLkrlMM4888ycjH788cfj1ltvjbe85S3dPs/SpUvj85//fPzgBz9or7G8ww475MdMy9Jj7b///vH9738/xzbbbLOYNGlSzJgxI9Zff/1VfVkAAAAAAPR0zeSiV155JY8O/stf/tJeK/mLX/xibLrppsvddty4cXnU8PXXXx/PP/98PPTQQyt87DSyOSWM0+MXpeRzoVCIN954I9djPvLII9tjW2yxRWyzzTa5LAYAAAAAAGtxZHJK5KayFqm8RZLqE6cE8pAhQ/L1NAnfpz71qTzJ3imnnJLLXnR24IEHxv333x8TJ05c4XONHj06PvGJT7Rfb2xszCOS0yjo5ubmvC7bbbddyX1SEvvpp59e4ePOnj07j5LuKJXfSNLjplNRVVVVVFZW5udqbW0tuU9anuKrG0vvW3ovVzaW3ttUK3p1Y8XXV5TKlNTW/Pu2g6J0PZOW/FtDxQpjVVGIimhb6VhrVEZbVERlFPKlnoilZ0lLVxRL65HWpydiaT3S+qRLg1Yhtuy9qSoT63pbtL8PVcvvspWtLZGmv2ytSvev6DpWWZU+DKsQa82vvVBZGW0Vpb85VRZao6Kt61hFoTUqu40VorKtEIWKymir7BRrK0RlIcUqoi2tTxextoqKKHQXS9srv/4O2tqiqtCaPxGFzu/bimJpm7d2F4uoam3pdlsUY9U1tXkf67jPpf0w7Y9pHy1OUroqsdSWpDZlZWPF9mt1Y/2x3StK2yZZ3W2RYsU2tLi/avd6vt1bcWzVjk+pv1Jdk9ZiWSup3ev5dq8nj0/F69q9vtXu9fTxKZ3X1lSX7McDvb/Xk+3eysRWpe9dbEfTvq6/19Kn++XVtcv6oWnf09/rW+2efvm6cXyynWyngfg9d1Wt0j3++Mc/xn777ZdXoChdfv/7319yu7Ri3ZWwSInoo446Ki699NKVft5zzjknrrzyyqitrY3bb7895s6dm5ePGjWq5HbDhg3LNZtX5JJLLsmP15UFCxa0P3axZMfQoUPzKOlFixaV3DYtT/GU5E736ygl10eMGJFrR8+fP78kljpiab3Thk+TE3aUXl9KoqeN23E9ih+KsWPH5g9w51ja8MXEfedY+gAX61N3jKUa1ItrGtuvj6usX64TPaswIncrx1bWR3Wn2MuF4blLOqayPmo7dWpfLQzLneFRFQ1RV1H64Z9dGBpNMShGVSyNIRWlH/7XC0NiaVTHiIrGGFaxbBLHonmFuqiPmrw8xTua3zY4FrfV5sdLj9vRwrbaWNg2OOqiOcZUNpTEFrfVxPy2uqiNllivsr4kVt9WHfPahkR1tMb4yiUlsYa2QTG3bWj+grBB5eKSWGNUxZzCsNzp7hxrjsp4rTA8dxQ7x1KH/ZXC8Hx5/crFJV3Pjrv5olFjl0uajp79Sr7V4pFjonXQssajaNTrr+Yk7pIRo6Pl/34EKho5d3ZOAtQPHxnNtaUTVw5/4/Wobm6K+mEjomnwsh+LiobNnxs1TY3RMGR4NA4ZWhIbuvCNqF3aEI11Q6Nh6LLXUzRk0YIY3LAkmgbX5efsqG7JonxK65HWtaPa+iUxdPGCaK6uicWjxpbEapbWx7CF86OlujoWjS798aq6cWkMXzAvJ0YWjC2t0T6oqSlGzH89J7U7x6pammPkvPSDU8VysdSZHzX3tXx5wZhxpZ39trYYMydti4gNNt00aidMKNnniuV3UpvQ+aCQ/rmRDjSpLel8UEj7fdr/U1mh1N50NGbMmNympvYplQbqKLUzqb1ZsmRJ1NeXfr5HjhyZSxGl5SneUX9u94o22GCDfJ7WpXMncmW3U2pD62ub2vdl7V7Pt3uzCiN77Pg0cZutY+PqZYlS7d6aafd68vhU/X/XtXt9q93r6eNTOmZsXVdb0jYM9P5eT7Z7RT11fCq2o6mN0N97pU/3yzfacqsYNGFC3i/19/pWu6dfvm4cn2wn22kgfs9dVRVNTU2lKekVePbZZ/Pkd+kNS0nktOOef/75uabx2972tvbbpbIXv/3tb3PJi85SreQ0Mvlvf/tbbLXVViv1vLfcckv89Kc/jRtuuCFPtPeBD3wgtt1221wuo1irOUnrkTbYihLV3Y1MPuyww+KRRx4pGTHdn0foTZ8+PR55pSF2OfWyPjsCYmVjA2Gkyq9O2DV2q42YOX1KnxwBUWSkyrL979g77ouaiZNi5syZ7e+NX9bXfrvXkyMg8jHjlYZ456kXL3ss7V6fHqF362f3jJ1rIn4+ZW/t3jowQu/oX/8uaiZuHzfddJMRRf145NdBBx0Uf32tsb0dzZ+jAd7f68sjk4vt6E8Pmqy/18dHJn/stj9GzTsm5e/ORib3rXbPiNd14/hkO9lOA3F/euKJJ3KetXNetEdGJqdJ7lIyt+jFF1/MyeRUu/i9731v+/JZs2blGsY777xzniSvo4022ijuu+++ePLJJ1c6mXzAAQfk06677hqnn356LqNRfJ6OyeSUfU/PuyIpi1/M5Hf1xhff/M4fgnTqyurG0kbs6rnWVCzpGEsfvMam5uU6r11ZUWxZR3rVY6lbWujFWOoMd/c6VjcWayS24ve72HntOtZ9eYxU0mF1YqmERHpnezTWVoho7S7WFtHNa0wd5e5ef/4S2G0sejwWZWLNTY1R0dzc5f64or+QrCiWDkTp1Fux/tju9dS2SLFiG9p5f9Xu9Xy71xPHpzTypLnt31/rtXs93+716PHp/zq42r2+1e51Z3W3U/pC1lU7mgz0/l5f7JcX29GO+/pA7+/11X55c+OyfmixP6a/13faPf3ydeP4ZDvZTgP1e26vTcCXMtppqHTnX3RSwninnXaKa665Zrn7pJrHaSTwwQcfvMLHTl/UX3jhhZJlaURyyqD/4x//iE022STuueee9lhanjLo6a/HAAAAAAD0rDeVTE4jldPo5MmTJy8X+8lPftJlMnnzzTfvtp5yR2n0chpi/a9//at9WXFyvbe+9a1xyCGH5HIWqQ5Oct1118Vrr73W5boAAAAAAPDm9Mz45i5suummb+r+aQRzSian0chnnnlmHuKdajBPmTIll7I47bTT4he/+EXsvvvuufzF9ddfH1OnTs0jogEAAAAA6EMjk9ekVIskTRqQEsqf/OQn45RTTsnJ4uJo51T3+N57743ddtstHn/88fjMZz4T11577dpebQAAAACAfmmNjUzuCan+cSqX0Z00+d6VV17Zq+sEAAAAADAQ9dmRyQAAAAAA9B2SyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAABIJgMAAAAA8OYZmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAMC6nUx+7bXX4vDDD48xY8bEiBEj4uCDD45XX321PT5z5sx4xzveEePHj4+TTjopli5dulbXFwAAAACgv+qzyeS2trY44ogj4qGHHoozzzwzzjnnnLjvvvviuOOOy/E77rgjjj766Nhvv/3iJz/5STz66KNx2mmnre3VBgAAAADolwZFH3X77bfHX//613zaZJNN8rK6urr49Kc/HW+88UZOMO+///7x/e9/P8c222yzmDRpUsyYMSPWX3/9tbz2AAAAAAD9S59NJu+2225xzz33tCeSk1TuIlm4cGE88MADccUVV7THtthii9hmm23izjvvjCOPPLLbx509e3bMmTOnZNkzzzyTz5ubm/OpqKqqKiorK6NQKERra2vJfdLyFF/dWBp53dLSstKxioqKGDRo0GrHiq+vqLq6Ompr/n3bQVG6nklLHrhescJYVRSiItpWOtYaldEWFVEZhXypJ2LpWdLSFcXSeqT16YlYWo+0PunSoFWILXtvqsrEut4W7e9D1fK7bGVrS1TkWLp/Rdexyqr0YViFWGt+7YXKymirKP0DQ2WhNSrauo5VFFqjsttYISrbClGoqIy2yk6xtkJUFlKsItrS+nQRa6uoiEJ3sbS98uvvoK0tqgqt+RNR6Py+rSiWtnlrd7GIqtaWbrdFMVZdU5v3sY77XNoP0/6Y9tG0r3a0MrHUlqQ2ZWVjxfZrdWP9sd0rStsmWd1tkWLFNrS4v2r3er7dW3Fs1Y5PgwcPjuqatBbLWkntXs+3ez15fCpe1+71rXavp49P6by2prpkPx7o/b2ebPdWJrYqfe9iO5r2df29lj7dL6+uXdYPTfue/l7favf0y9eN45PtZDsNxO+5/SaZPHLkyHzq6De/+U1sueWW+U1LG3K77bYriW+66abx9NNPr/BxL7nkklwyoysLFiyIuXPntl8fPnx4DB06NBoaGmLRokUlt03LU7yxsTHfr6MhQ4bkGs9NTU0xf/78kljqiI0aNSq/hnnz5pXEamtrY/To0XnjdlyP4odi7Nix+XV3jqUNv9566+XLnWPpA5xqSneOTZgwIRbXNLZfH1dZv1wnelZhRO5Wjq2sj+pOsZcLw3OXdExlfdR26tS+WhiWO8OjKhqirqL0wz+7MDSaYlCMqlgaQypKP/yvF4bE0qiOERWNMayiqSQ2r1AX9VGTl6d4R/PbBsfittr8eOlxO1rYVhsL2wZHXTTHmMqGktjitpqY31YXtdES61XWl8Tq26pjXtuQqI7WGF+5pCTW0DYo5rYNzV8QNqhcXBJrjKqYUxiWO92dY81RGa8VhueOYudY6rC/UhieL69fubik69lxN180auxySdPRs1/Jt1o8cky0DlrWeBSNev3VnMRdMmJ0tNTUlMRGzp2dkwD1w0dGc+3gktjwN16P6uamqB82IpoGDymJDZs/N2qaGqNhyPBoHDK0JDZ04RtRu7QhGuuGRsPQZa+naMiiBTG4YUk0Da7Lz9lR3ZJF+ZTWI61rR7X1S2Lo4gXRXF0Ti0eNLYnVLK2PYQvnR0t1dSwavWwfKKpuXBrDF8zLiZEFY5ftA0WDmppixPzXc1K7c6yqpTlGzks/OFUsF0ud+VFzX8uXF4wZV9rZb2uLMXPStojYYNNNo3bChJJ9rviPidQmdD4ojBs3Lh9oUlvS+aCQ9vu0/6cf0VJ701H6ga2mpia3T51rxqd2JrU3S5Ysifr60s93alvTPz3S8hTvqD+3e0UbbLBBPk/r0rkTubLbKbWh9bVN7fuydq/n271ZhZE9dnyauM3WsXH1skSpdm/NtHs9eXyq/r/r2r2+1e719PEpHTO2rqstaRsGen+vJ9u9op46PhXb0dRG6O+90qf75RttuVUMmjAh75f6e32r3dMvXzeOT7aT7TQQv+euqoqmpqbSlHQflZLE22+/fZx//vmx++67x84775xHFG+88cbttzn22GPzxvre9763yiOTDzvssHjkkUdi4sSJA2KE3vTp0+ORVxpil1Mv67MjIFY2NhBGqvzqhF1jt9qImdOn9MkREEVGqizb/469476omTgpTxJa5Jf1td/u9eQIiHzMeKUh3nnqxcseS7vXp0fo3frZPWPnmoifT9lbu7cOjNA7+te/i5qJ28dNN91kRFE/Hvl10EEHxV9fa2xvR/PnaID39/ryyORiO/rTgybr7/Xxkckfu+2PUfOOSXHDDTcYmdzH2j0jXteN45PtZDsNxP3piSeeiG233Xa5vOg6NzK5o7TRPvnJT8bWW28dH/3oR+O5557Ly9OG6Si9MWk03YqkLH4xk9/VG1988zt/CNKpK6sbS+va1XOtqVjSMZY+eI1Nzct1XruyotiyjvSqx1K3tNCLsdQZ7u51rG4s1khsxe93sfPadaz78hippMPqxFIJifTO9misrRDR2l2sLaKb15g6yt29/vwlsNtY9HgsysSamxqjorm5y/1xRX8hWVEstXed27w1GeuP7V5PbYsUK7ahnfdX7V7Pt3s9cXxKI0+a2/79tV671/PtXo8en/6vg6vd61vtXndWdzulL2RdtaPJQO/v9cV+ebEd7bivD/T+Xl/tlzc3LuuHFvtj+nt9p93TL183jk+2k+00UL/nroruexV9yLe//e148MEH48orr8xvWDEZPGvWrJLbpaHc6W/YAAAAAAD0rD6fTE4T6p1xxhlx3nnn5TIXSapJkibmSxP0FaVh2mk4dqpjCQAAAADAAEomp5odRx55ZK5NedJJJ5XEDjnkkLj00ktzUfXkuuuui9deey0mT568ltYWAAAAAKD/6rM1k1M9ypRITmUtUr3kP//5z+2xrbbaKk477bT4xS9+kSfj23XXXeP666+PqVOnxk477bRW1xsAAAAAoD/qs8nkxx57LP7+97/ny51HG992222x9957x7333htf+cpX8m0/85nPxIwZM9bS2gIAAAAA9G99Npm84447RlNT0wpvs+GGG+ZJ+QAAAAAAGMA1kwEAAAAA6BskkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAADJZAAAAAAA3jwjkwEAAAAAKEsyGQAAAACAsiSTAQAAAAAoSzIZAAAAAICyJJMBAAAAAChLMhkAAAAAgLIkkwEAAAAAKEsyGQAAAACAsiSTAQAAAADoH8nk2267LbbZZpvlls+cOTPe8Y53xPjx4+Okk06KpUuXrpX1AwAAAADo7/p8MvmJJ56IY445JlpbW0uW33HHHXH00UfHfvvtFz/5yU/i0UcfjdNOO22trScAAAAAQH82KPqwBx98MKZOnRqbb755zJkzpyR25plnxv777x/f//738/XNNtssJk2aFDNmzIj1119/La0xAAAAAED/1KdHJv/hD3+I8847L0488cSS5YsXL44HHnggjjzyyPZlW2yxRS6Fceedd66FNQUAAAAA6N/69Mjkz33uc1FZWRk//vGPS5a/+uqrUSgUYrvttitZvummm8bTTz+9wsecPXv2cqOcn3nmmXze3NycT0VVVVX5+dNzdS6zkZan+OrG2traoqWlZaVjFRUVMWjQoNWOFV9fUXV1ddTW/Pu2g6J0PZOW/FtDxQpjVVGIimhb6VhrVEZbVERlFPKlnoilZ0lLVxRL65HWpydiaT3S+qRLg1Yhtuy9qSoT63pbtL8PVcvvspWtLVGRY+n+FV3HKqvSh2EVYq35tRcqK6OtovQ3p8pCa1S0dR2rKLRGZbexQlS2FaJQURltlZ1ibYWoLKRYRbSl9eki1lZREYXuYml75dffQVtbVBVa8yei0Pl9W1EsbfPW7mIRVa0t3W6LYqy6pjbvYx33ubQfpv0x7aNpX+1oZWKpLUltysrGiu3X6sb6Y7tXlLZNsrrbIsWKbWhxf9Xu9Xy7t+LYqh2fBg8eHNU1aS2WtZLavZ5v93ry+FS8rt3rW+1eTx+f0nltTXXJfjzQ+3s92e6tTGxV+t7FdjTt6/p7LX26X15du6wfmvY9/b2+1e7pl68bxyfbyXYaiN9z+1UyOb35XWloaMjno0aNKlk+bNiweP3111f4mJdcckmcc845XcYWLFgQc+fObb8+fPjwGDp0aH6+RYsWldw2LU/xxsbGfL+OhgwZEiNGjIimpqaYP39+SSx1xNJ6pw0/b968klhtbW2MHj06b9yO61H8UIwdOzZ/gDvH0oZfb7318uXOsfQepgkKO8cmTJgQi2sa26+Pq6xfrhM9qzAidyvHVtZHdafYy4XhuUs6prI+ajt1al8tDMud4VEVDVFXUfrhn10YGk0xKEZVLI0hFaUf/tcLQ2JpVMeIisYYVtFUEptXqIv6qMnLU7yj+W2DY3FbbX689LgdLWyrjYVtg6MummNM5bLPTdHitpqY31YXtdES61XWl8Tq26pjXtuQqI7WGF+5pCTW0DYo5rYNzV8QNqhcXBJrjKqYUxiWO92dY81RGa8VhueOYudY6rC/UhieL69fubik69lxN180auxySdPRs1/Jt1o8cky0DlrWeBSNev3VnMRdMmJ0tNTUlMRGzp2dkwD1w0dGc+3gktjwN16P6uamqB82IpoGDymJDZs/N2qaGqNhyPBoHDK0JDZ04RtRu7QhGuuGRsPQZa+naMiiBTG4YUk0Da7Lz9lR3ZJF+ZTWI61rR7X1S2Lo4gXRXF0Ti0eNLYnVLK2PYQvnR0t1dSwavWwfKKpuXBrDF8zLiZEFY5ftA0WDmppixPzXc1K7c6yqpTlGzks/OFUsF0ud+VFzX8uXF4wZV9rZb2uLMXPStojYYNNNo3bChJJ9rlh+J7UJnQ8K48aNywea1JZ0Piik/T7t/wsXLsztTUdjxoyJmpqa3D51noA0tTOpvVmyZEnU15d+vkeOHBl1dXV5eYp31J/bvaINNtggn6d16dyJXNntlNrQ+tqm9n1Zu9fz7d6swsgeOz5N3Gbr2Lh6WaJUu7dm2r2ePD5V/9917V7favd6+viUjhlb19WWtA0Dvb/Xk+1eUU8dn4rtaGoj9Pde6dP98o223CoGTZiQ90v9vb7V7umXrxvHJ9vJdhqI33NXVUVTU1NpSroPSiOTzz777PjnP/+Zr//jH/+IbbfdNp5//vnYcMMN22933HHH5Q126aWXrvLI5MMOOyweeeSRmDhx4oAYoTd9+vR45JWG2OXUy/rsCIiVjQ2EkSq/OmHX2K02Yub0KX1yBESRkSrL9r9j77gvaiZOipkzZ7a/N35ZX/vtXk+OgMjHjFca4p2nXrzssbR7fXqE3q2f3TN2ron4+ZS9tXvrwAi9o3/9u6iZuH3cdNNNRhT145FfBx10UPz1tcb2djR/jgZ4f68vj0wutqM/PWiy/l4fH5n8sdv+GDXvmBQ33HCDkcl9rN0z4nXdOD7ZTrbTQNyfnnjiiZxn7ZwXXSdHJnenmImfNWtWSTI5Zd9T7eRy9y3ev6s3vvjmd/4QdDdKenVjaSN29VxrKpZ0jKUPXmNT83Kd166sKLasI73qsdQtLfRiLHWGu3sdqxuLNRJb8ftd7Lx2Heu+PEYq6bA6sVRCIr2zPRprK0S0dhdri+jmNaaOcnevP38J7DYWPR6LMrHmpsaoaG7ucn9c0V9IVhRLB6J06q1Yf2z3empbpFixDe28v2r3er7d64njUxp50tz276/12r2eb/d69Pj0fx1c7V7fave6s7rbKX0h66odTQZ6f68v9suL7WjHfX2g9/f6ar+8uXFZP7TYH9Pf6zvtnn75unF8sp1sp4H6PbffTMDXnTSMfJNNNol77rmnfVnKrKcMevrrMQAAAAAAPWudTCYnhxxySC5nkergJNddd1289tprMXny5LW9agAAAAAA/c46m0w+7bTT8uRRu+++e66VfPzxx8fUqVNjp512WturBgAAAADQ76yzyeRU9/jee++N3XbbLR5//PH4zGc+E9dee+3aXi0AAAAAgH5pnZiA75hjjsmnztLke1deeeVaWScAAAAAgIFknR2ZDAAAAABA75FMBgAAAACgLMlkAAAAAADKkkwGAAAAAKAsyWQAAAAAAMqSTAYAAAAAoCzJZAAAAAAAypJMBgAAAACgLMlkAAAAAADKkkwGAAAAAKAsyWQAAAAAAMqSTAYAAAAAoCzJZAAAAAAAypJMBgAAAACgLMlkAAAAAADKkkwGAAAAAKAsyWQAAAAAAMqSTAYAAAAAoCzJZAAAAAAAypJMBgAAAACgLMlkAAAAAADKkkwGAAAAAKAsyWQAAAAAAMqSTAYAAAAAoCzJZAAAAAAAypJMBgAAAACgLMlkAAAAAADKkkwGAAAAAKAsyWQAAAAAelRLS0vssssuccYZZ6z0fZ5//vk44IADYvjw4bHbbrvFo48+2h577LHHYrPNNot99tkn6uvr87JFixbFtddea8tBL5JMBgAAAKBHffvb344///nPK337xsbGeN/73hcvv/xy/OIXv8hJ43R9wYIFOf6DH/wgDj744GhtbY2bbropL7vqqqtihx12sOWgF0kmAwAAANBjnnzyyTjzzDNjxIgRK32fq6++Op577rn49a9/HQceeGB885vfjC222CIuu+yy9lHLafm73/3ufLu2trb8PBMnTrTloBdJJgMAAADQIwqFQnzsYx+L6dOnx4477rjS97vjjjti7733jre85S3ty6ZNmxa33357++NWVlbmU7qcks6pJAbQuySTAQAAAOgR3/ve9+LFF1/MZSlWxaxZs2LSpEkly1KN5H/+85/58oQJE+Kpp57K19PllEyeMmWKrQa9bFBvPyEAAAAA/c/TTz8dM2bMiOuuuy5Gjx69SvdtaGiIUaNGlSwbNmxYzJkzJ18+9thjY+rUqTFu3Lg46aSTYvHixXmUMtC77HUAAAAAvCmphvHxxx8fRxxxxGqNGK6trY2qqqqSZRUVFTnJnOy77755xHManZxGJafraSTz9ttvnyftA3qHZDIAAAAAb8oPf/jDePbZZ+P8889frfuPHz8+XnrppZJlc+fOjaFDh5bcprGxMSedb7jhhpxM3m677eKqq66y9aCXSCYDAAAA8KZcf/31ORmcSlWkEcXp9Pvf/z7OPPPMfLmcNML4j3/8Y8myP//5z7HhhhuWLPvRj36UR0C/8MIL8Z73vCdP2vf888/betBLJJMBAAAAeFMuv/zyeOSRR0pOO++8c5xwwgn5cjmHHXZYPProo3HzzTfn6wsWLIirr746l7Moam1tzaOft9xyy/bSGkDvMgEfAAAAAG/KFltssdyyNIHeBhtsEDvssEMuWfHcc8/FjjvuuFxt5CSVq0gjjqdPnx4f/OAH4/7774/6+vo4/fTT229z4403xrRp0/Llt771rXHnnXfmy9tuu62tB73EyGQAAAAA1qj/+Z//iV133TUWLVrU7W0uu+yyOPvss/Mke29/+9vj3nvvjU022aQ9nkY477fffvnycccdF4899lg8/vjj+TLQO4xMBgAAAFhHnHTSSfHiiy/GuiBNnvfggw/GlClT8vUDDzwwPvzhD5e9X5poL5W0+OIXv7hcbOrUqe2XN95443z+iU98IvqylBC/+OKL1/ZqQI+QTAYAAABYR6RE8h//9nTUrbfR2l4VVkLD67NiD+8U/YhkMgAAAMA6JCWS3/2lK9f2arAS7vnWR71P9CtqJgMAAAAAUJZkMgAAAAAAZUkmAwAAAABQlmQyAAAAAABlSSYDAAAAAFCWZDIAAAAAAGVJJgMAAAAAUJZkMgAAAAAAZUkmAwAAAABQlmQyAAAAAABlSSYDAAAAAFCWZDIAAAAAAGVJJgMAAADAAFQoFGLGjBmxwQYbxEYbbRQ/+MEPVvq+73nPe6KioqLL01133RWPPfZYbLbZZrHPPvtEfX19vs+iRYvi2muvXYOviDVt0Bp/BgAAAACgzznjjDPi29/+dj6lZPIJJ5wQ66+/fhxxxBFl73vppZfm5HBHv/vd7/JjbrPNNvG1r30tDj744Hj44YfjpptuiiOPPDKuuuqqnFxm3SWZDAAAAAADzMKFC3MS+ayzzopTTjklL5s/f36+vjLJ5K233nq5ZelxTj755DzS+fnnn4/TTz896urq4rnnnou2trZ48skn25+LdZMyFwAAAAAwwNxzzz2xdOnS+PCHP9y+bNq0afHEE0/Eyy+/vMqPd8stt8Tjjz8eX/rSl9pLaFRWVuZTuvzrX/86DjjggB59DfQ+yWQAAAAAGGBmzZoVY8aMyeUtitL1kSNHxtNPP73Kj5dGOX/0ox+NsWPH5usTJkyIp556Kv75z3/myymZPGXKlB59DfQ+ZS4AAAAAYIBpaGiIUaNGLbd82LBhMWfOnFV6rDQiOU26d8kll7QvO/bYY2Pq1Kkxbty4OOmkk2Lx4sV5lDLrNlsQAAAAAAaY2traqKqqWm55RUVFTjSviosuuigmT54cW221VfuyfffdN1588cU8OjmNSk7XJ02aFNtvv/1qldGgb5BMBgAAAIABZvz48bnURWfz5s2LoUOHrvTjtLS0xHXXXRdHHnlkl8/R2NiYk9Y33HBDTiZvt912cdVVV73p9WftkEwGAAAAgAEmjRCur6+Phx9+uH3Zk08+mZdtuOGGK/04d9xxR8yfPz8OPvjgLuM/+tGP4vjjj48XXngh3vOe98Tee+8dzz//fI+8BnqfZDIAAAAADDCbbrpp7LTTTvHNb36zfdn3v//9GD16dOy8884r/ThpxPE73/nOWG+99ZaLtba2xrPPPhtbbrllvt7W1tZDa8/aYgI+AAAAABiAvvOd78T+++8f733ve6Ouri5uueWW+O53vxuDBg3KdY1nz54dO+ywwwof4/bbb4/DDz+8y9iNN94Y06ZNy5ff+ta3xp133pkvb7vttmvg1dAbjEwGAAAAgAEoJZHvvvvuPBnf3Llz4/LLL49TTz01xy677LJclmJFUumKNPL4Xe96V5fxRx55JPbbb798+bjjjovHHnssHn/88XyZdZORyQAAAACwBiz811Px4KzmmDJlSp9+f9MEealMRSpZkU5F7373u8uu+4EHHhiXXHJJPnVl6tSp7Zc33njjfP6JT3wi+qpNNtkkLr744rW9Gn2WZDIAAAAArAGtzUtjRGFpND32F+/vOuClRUvW9ir0eet8MrlQKMSZZ54ZV1xxRf4V5bTTTouTTz55ba8WAAAAAMSEusHx0wP29k6sAz50y+/X9ir0eet8Mvmss87KhcHTzJMbbrhhfPrTn47x48d3W/gbAAAAAIABlkxeuHBhTiR//etfz0nkZMGCBXHuuedKJgMAAAAA9KDKWIf96U9/iqVLl8ZRRx3Vvuyggw6KJ598Ml5++eW1um4AAAAAAP3JOj0yOSWMx4wZExtttFH7snR95MiR8cwzz+SyF53Nnj075syZU7IsJZ+T2267Lf7+97+3L6+srMynVJc5nTqqqKjINZpXN9bW1hatra0rHUsGDRq02rGkpaWlfdnrr78eDa++Gnf859SS23RUvP2gQVVp7UpjrS0RbWViVZURFZVdxqqqKqOiU6y10BJthe5irdFWaIuqysqoqCyNFQqtUSi0RWVlRVRWpvX5t7ZCIVoLhaiorIiqzrG2QrS2plhEVeWgLmPppQ2q6vTetBWipbtYtEVLS+uKY2Xf7y5i9Uvi6ca2eN//747lYq3Nzfm8qnrQctuiNT1mW1tUVafXXrnSsUJLS/48VQ1K27D0fSu0pm1R6DLW1pq2RSEqB6Vt2HlbtEahtRCVafsuty1ao9BSyPtbRVVpLNpao7UlbafKqOwuVlERlcu9b4VobU7boiKqVinWFq3Ny7ZFVXX1Ct7v7mMLWlpj/ddfj1/+8pftsbRvp/XsuB+uSizt22mbrGys2H6tbqw/tnsrE1vZ7VRsQ38/Y9qyx9Lu9Xy7t1KxlTs+VbQ0xfNtbbHvL3+j3VtD7d6KY6t2fJqzaHGMf/XVPIu4dq/vtHs9fXxK/fGGV19rb0fz52Kg9/d6sN3r6X55sR1NfVH9vZ5v93qyXz5vaWPuh9544436e32s3evJfnnKayz816z43Vc+oN1bB/IRhcaGeL6tsvT7/Dr4Pbevtns9nY8otqPp+/xA+Z77r3/9K19ubGyMlVHR1NRU2mKtQ374wx/GBRdcUJIATjbddNP47//+7zjkkEO6rLF8zjnn9OJaAgAAAAD0Xddff32u+NCvRybX1tbmXw46S9n2hoaGLu9z4oknxqGHHrpc7eWnn346tt1226ipqVlj6wurK420P+yww/KOvfnmm3sjAbShAL1GXxRAG0r/1dTUlEcn77XXXit1+3U6mTxu3LguayPPmzcvhg4d2uV9xo8fn0+d7b777mtkHaEnpUTyxIkTvakA2lCAXqcvCqANpX/acccdB8YEfJMmTYr6+vp45JFHSuofp2Vd1UsGAAAAAGD1rNPJ5FQbOWXOzzvvvPZlF154YYwePTp22mmntbpuAAAAAAD9yTpd5iL51re+FQceeGDst99+UVdXF7feemt8+9vf7nIWZAAAAAAABuDI5OQ973lP/O53v8uT8c2dOzcuvfTS+OxnP7u2Vwt6vD74V7/61XwOgDYUoDfpiwJoQ6Gooqmpqa39GgAAAAAA9MeRyQAAAAAArHmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUNaj8TQAAAACAlfXhD384XnvttVV+w374wx/G1ltv7Y2mzzIyGXrB73//+6ipqWk/DR8+PCZNmhTf/va3o7GxsT0+ePDgaGhoaL/fnnvumZefddZZJY+19957x+jRo2OTTTaJL37xi9Hc3NweP/7440ueq+PpjjvusL2Bdd6Pf/zj3Ka99a1vLVme2sS0PMWLHn744bzs7LPPXu5xtJfAQNBTbea+++5b0q8cM2ZMHHTQQfHEE0+03yb1Wbvrh15xxRVr+JUC9I3v90UpIXz77bev0umYY46JxYsX25T0aUYmQy/60Ic+FPvtt18sXLgwbrvttvjKV74Sjz32WHzsYx/L8UKhkDvkO++8c7S1tcXjjz9ecv90cJk6dWq8//3vj/POOy8eeOCB+N73vpcPYOecc0777Wpra+OSSy5Z7vknTpzYC68SoHe88sor8frrr8d6662Xz1999dXlbvPb3/62vf2cMWPGcnHtJTBQ9GSbmfqsL7zwQlx++eWx//775/7riBEj2m934YUXxtChQ0vu+853vnONvC6Avvb9/uqrr7ZR6Nckk6EX7bTTTvmvLslJJ50U06dPj1/84hfxwQ9+sP02jz76aE4mP/vss8v9Ivnd7343Nttss7jhhhuisrIyPvGJT8SiRYvy32DOPPPMqKqqyrcbNGhQ+/MA9GepzXzve98bf/vb37qMp459kn58mz9/fowaNaokrr0EBpKebjOPOuqoeMc73hEXX3xxfOlLX2pffsghh+SkNcBA/H6fBnylfxJDf6XMBaxF++yzTx7ZMWvWrJJOfsfzjv71r3/F+PHjcyK56IQTTohPfvKT/goDDEgrajPTj2333Xdf/rtga2tr/O53v1sLawjQf9vMzTffPJfL6C45DTAQv9+/9NJLa3tVYI2STIa1qJhELo7cePe7353/FpOk84033rikvt32228f9957b1x77bXty9Lokm9961sxcuTIXl9/gLWpc5u5xx57lMTvvPPOXFM+1UYeO3Zs+4g7gIFoTbWZ1dXVJXN+AAz07/fjxo1b26sCa5RkMvSiJUuW5Bp1qWbdddddFxdddFHsvvvuscEGG+T4jjvu2N7JTyNGdthhh5L7p7rIb3vb2+KjH/1ovt8vf/nLXFu5K+l5Op7SXxUB+pPUZnYcZZeud5RqftbV1eXSQalWZ7reFe0lMBD0VJvZUSrJlv45t9VWW5UsnzdvXknbOnfu3B5+NQB9//s99FeSydCLvv71r8eGG26YRxt/5CMfiW233Tauueaa9nhKHs+ZMycfjLrq5KdE8v33359r0j3zzDO5Tt1ee+0VL7/88nIHtfQ8HU+dR58ArOtSm5kmfUoj6Z588snlfoBLo+p22WWXPElpGpGXJot66qmnSm6jvQQGip5oM5OUOJk9e3Y8+OCDuT+b/tJdnEy6KPVxO/ZDUx8WYKB9v4f+ygR80ItSfeNp06bFVVddFddff30+0KQ6c88991yOp059RUVFThinCfhSMrnzTLBpIpSzzz47vvCFL8R//dd/5eL+aRbthx56KAYPHpxvk85vvPHGkvt1nlEbYF2X2sj01+pbbrkln3f8AS794JZOBx54YE58pAmiismSrbfeuv122ktgoOiJNrP4A1zR8OHD80i8ziOT0wRUI0aMaL9enCQaYCB8v4f+TjIZetGWW24ZkydPzr9czpw5M374wx/Geeed1x5Pne40kUnqgKdRHml22KI0iiR18tMEfGPGjMlJ5VQrOV3/z//8z/jVr34VRx55ZHuHPT0PQH+Wkh3pL9k/+9nP8vnb3/729lix1ucFF1yQTx2Xn3zyye3XtZfAQNETbWbHH+DSQIVJkybFkCFDlnuuPffcs31OEICB+v0e+itlLmAt2GKLLeIDH/hAXHHFFbFw4cKSWBolkmohpzpLEyZMKKk9lzrsafRHR4ceemg+f/HFF3tp7QH6hpQI3m677XKbmdrHjiPfUgIkJT1uvvnmPAovnVJy4+67746mpqa1ut4A62qbWfwBLp1SXeWuEskAA82Kvt9DfySZDGvJ5z//+XygSQecjop/OexcL3n99dfPs8Kmzn7HSffuvffefN7574UAA0FXbWb6J8ddd92Va37uu+++7YmPgw8+OP9F+5577lmLawyw9mgzAXr3+z30R8pcwFqSZnlNIzrSX2EuvfTS5Tr5nSdFSb7yla/E5z73uZgyZUquzfTSSy/FhRdeGBMnTszLilpaWuLaa69d7v6phEZ6ToD+nBhJk5guWrRouXI/xeu//e1v473vfW++rL0EBpI322aurBtuuGG5+TrSwIj0Ax9Af/9+f8opp6gVT78mmQxr0amnnhpHHHFEzJ07t+zI5ORTn/pUrqWcSl2kXz7TBChp1tgzzzwzqqur22/X2NgYH/3oR5e7/9FHHy2ZDPQrXf0Ad/nll+fzzomR9MNbajfTPzzSBKaJ9hIYSN5sm7myOtZZLtprr70kk4EB8f0+/aA2ffr0tb06sMZUNDU1/fv/8gAAAADAm7LHHnvkevSr4tVXX42rr746dt55Z+8+fZZkMgAAAAAAZZmADwAAAACAsiSTAQAAAAAoSzIZ+oClS5fGBz/4wbjvvvtW6vb/8z//E+eee2688cYba3zdAPo6bSiAdhRgTTv00EPjC1/4Qvv11tbWeOmll1Z4KhQKZR/3lVdeKckFXHPNNXH77bevsdcBb5ZkMvSCk046KWpqakpO//mf/9ke//GPf5wPFsOGDYuWlpaSU1d+9rOf5fuMGDFiudi8efPioYceih/96EfxkY98JCZNmhSLFy9eo68PYE3ShgJoRwHWtvRde+HChe3XZ8+eHZttttkKTwsWLOjysdra2uKPf/xjfOpTn4qtt9463ve+98Uf/vCHHPvyl78cV111Va+9LlhVg1b5HsAqq66ujh133DEuuuiieOqpp+K4446Lo446KsdSovecc86JxsbG2GmnnUruN378+PjHP/4RQ4YMKRmBlxLPp556alRVVcXkyZPzY6RRyulgVl9fHxUVFbHFFlvkg9c+++wTzz77bE4qA6yLtKEA2lGAtS19/66srCzpoyY33XRT7LHHHiW3/f3vf5//fZwGkhU98sgj8fDDD+ek8V133RUvv/xy/u5+yCGHxOGHHx7bbrttvl1tbW3J/aCvkUyG3tjRBg2K4cOHx8477xwPPvhgbLXVVu3J3TRC+dVXX43Pfe5z8bWvfa39ILPffvvFV7/61ZJEcjJz5syYP39+HHHEEfn63/72t/jwhz8cBx10UIwePToftFJy+vHHH7dtgX5BGwqgHQVYWxoaGnKCt6ipqSmXuCgmfNNAr6FDh5bcZ8mSJe0J6KInn3wyPv3pT8cuu+yS/0X82GOP5cRy+udxRynBnE7QV0kmQy8o/mKZ3HrrrTFt2rR8+ec//3lcdtll8dnPfjZ+8IMfxO67755HEp9yyin58ic/+cnlHuuSSy7J52nUcd6JBw3KI5rT/ZI0CjmNcgboL7ShANpRgLUl/WO4+B377rvvjiuvvDLe9a53xa9+9au8LH1v7/xP4L/85S954FgqZ1H0oQ99KA444IA8CCw57bTT4p577unV1wI9QTIZetGiRYvizjvvjK985Sv5ejpwpF8xv/nNb+brxxxzTC5PkW7329/+tuQvNMmvf/3rPLJ5Rerq6vKBLhX673x/gHWZNhRAOwrQ29II4sGDB+dSFG9729vi3HPPzSOHm5ub22spp38bd5SWJWkEc0fFRHIx1nHQBKwrJJOhF914440xcuTI/LeW5IILLsi/VKYESUoip4NRKk9x4IEHLjf5Xro+Y8aMGDVqVC5z0Z00iV/xbzWptEZ6zFRnOSWZ0yhmgHWVNhRAOwrQ29761rfm85T4TUnlt7zlLfn63LlzY6+99op77703nzpLsWIyOX0/T/ftWPYilc8ol0xO+YL0GKm0RvpOr/wFfYHMEvSi9Ctkmv01JYzTQeG6666LBx54IB94RowYEYceemi+nEYV/3//3/+XD1rbb799Ti7/+c9/zpP3/cd//EecffbZJY/78Y9/PJ86Gjt2bMn1NCL63e9+d6+8ToA1QRsKoB0FWNvSv4gnTJiQS0/efPPNOSHcVZI3fa9P/xpOieCOI5I762qyvWuuuSafOkolLYuJbFibJJOhF33gAx/ISd/jjjsubrvttrjvvvvyiORUM3nffffNSeaURE4T8KURzP/85z/zKU3c9/TTT8cXvvCF9lrJHf33f/93TJ8+PV9OI5G33HLLuPrqq2PvvffOI5rTAWzDDTe0rYF1mjYUQDsKsDbU19fnfwineY9uuOGGOOOMM/L39JXxne98J98vTdLX8d/Cp59+eh5sdumll5bcPuULUg3mVBIzJaTTyOT0nb7zgDFYWySToZelg05K7N5+++0xc+bMXMz/Rz/6Ucltxo0bV3LgSSOTU8I5ufbaa5d7zJR43mCDDdqvb7zxxvHGG2+ULAPoD7ShANpRgN7yr3/9Ky688MI8Svj111/Pg79++ctf5pKS73//+6O2tjaf0sjkI444Io9Y/t73vpfvm5LAqZRFKlWZTp2lx0sJ6cmTJ5csT+Uw0nf5NOAM+iLJZOhlxTpJf/3rX+OQQw6J+++/P9c5Tn+NSaOQp0yZEn/4wx9i/fXXz3WV1ltvvVV+jokTJ+bZYwH6G20ogHYUoLek8pTnn39+/tfv7Nmz4x3veEceEJak7+op0XzMMcfkAV3pO31KLK/Md/hU3jJN2vfe9763F14F9KzKHn48YAXSCORUhD8liVO5igMOOCAefPDBXJYizQqbfsVMNtpoo3w9JYVTUnllPfroo/k8/Vp699132xZAv6INBdCOAvSmTTbZJC644IL4zW9+U/IP4uSll16KM888M/70pz+1L1uwYEH8/e9/j8ceeywefvjhXJ6iK9/4xjdy4vnII49c468BeppkMvSiIUOG5In00gHjQx/6UD7ozJkzJ55//vl8euWVV/LtZs2ala+nAvvpQDRv3ryyj53+arPHHnvk+6a/26QayylRDdBfaEMBtKMAve2EE06Iysrl02d/+9vf8vluu+3WviwlndNo4zSSOX0/TwnnrgZIpNudfPLJ7aOcYV0imQy99NeY5OCDD46XX345fvzjH+eDSprVNf2SudVWW+VTKnGR7Lnnnvn6Nttskwvv/+///u8KH/u6666Lj3zkI3HiiSfmesw77rhjHtV87rnn5ttcf/318ZnPfCZPxgewrtGGAmhHAfqaW2+9NZ93/J59+OGH50Fic+fOzZP2bb755iX3+e1vf5u/m++6667xta99rdfXGXqCZDL0glR4vziqrjgD6xZbbJGTyR1P6W8wSRqRnK4vXbo0Fi9eHEcdddRyj5XOU8H+NNHeHXfcEWeffXYe9VwcjZwmqbr55pvjJz/5STz00EP5l8+OM8cCrCu0oQDaUYC+5Lnnnsv/Dk6mTp0aDzzwQNn7zJw5Mw499NBc3jLdt66urtuBFMXBFNAXySxBL1jZEcHF2xXP019pampqSm5TrLlUTECnGk7nnXdeHvWcEsnTpk2Lu+66K1//2Mc+lk9pZtnTTz+9x18XQG/QhgJoRwHWlhdeeCEnj9Ogr/QP4vQ9PI0urqqqit///vcxY8aMXNIi1UBOE/RdfvnlMXTo0DxXUiprmf45fOedd+aJ/FL8xhtvjA022KDb52tubvavYvo0yWToBelgsDLS32A6nnclHbiKSeVU0iLVaSr+onnFFVfE9OnT84jm5KKLLortttsuzxL7pS99qQdeCUDv04YCaEcB1pZnnnkmz0uUBnulUcif//znc7mKyy67LHbfffe47bbb8qjjn/70p/Hoo4/meOq/FgqFPMI4DfZKg7tScjlNvDdixIgVPl9DQ8MKcwKwtlU0NTUZOw8AAAAAnaTSk3/605/yCONx48blUpPpenHOIxhoJJMBAAAAACjLBHwAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAWZLJAAAAAACUJZkMAAAAAEBZkskAAAAAAJQlmQwAAAAAQFmSyQAAAAAAlCWZDAAAAABAlPP/B+hxq8WM0FkzAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "全部运行完毕！\n"
     ]
    }
   ],
   "source": [
    "# ========== 图: 混合模型性能提升分析 ==========\n",
    "def pct_improve(base, hybrid, higher_better=False):\n",
    "    if higher_better:\n",
    "        return (hybrid - base) / abs(base) * 100 if base != 0 else 0\n",
    "    else:\n",
    "        return (base - hybrid) / abs(base) * 100 if base != 0 else 0\n",
    "\n",
    "labels = ['RMSE\\n降低', 'MAE\\n降低', 'MAPE\\n降低', 'R²\\n提升']\n",
    "vs_arima = [\n",
    "    pct_improve(metrics['ARIMA']['RMSE'],  metrics['ARIMA-LSTM']['RMSE']),\n",
    "    pct_improve(metrics['ARIMA']['MAE'],   metrics['ARIMA-LSTM']['MAE']),\n",
    "    pct_improve(metrics['ARIMA']['MAPE'],  metrics['ARIMA-LSTM']['MAPE']),\n",
    "    pct_improve(metrics['ARIMA']['R2'],    metrics['ARIMA-LSTM']['R2'], higher_better=True),\n",
    "]\n",
    "vs_lstm = [\n",
    "    pct_improve(metrics['LSTM']['RMSE'],   metrics['ARIMA-LSTM']['RMSE']),\n",
    "    pct_improve(metrics['LSTM']['MAE'],    metrics['ARIMA-LSTM']['MAE']),\n",
    "    pct_improve(metrics['LSTM']['MAPE'],   metrics['ARIMA-LSTM']['MAPE']),\n",
    "    pct_improve(metrics['LSTM']['R2'],     metrics['ARIMA-LSTM']['R2'], higher_better=True),\n",
    "]\n",
    "\n",
    "x = np.arange(len(labels))\n",
    "width = 0.32\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "fig.patch.set_facecolor('#FAFAFA')\n",
    "ax.set_facecolor('#FFFFFF')\n",
    "\n",
    "bars1 = ax.bar(x - width/2, vs_arima, width, label='混合 vs ARIMA', color='#3498db', alpha=0.85, edgecolor='black')\n",
    "bars2 = ax.bar(x + width/2, vs_lstm,  width, label='混合 vs LSTM',  color='#e74c3c', alpha=0.85, edgecolor='black')\n",
    "\n",
    "ax.set_ylabel('提升幅度 (%)', fontsize=12, fontweight='bold')\n",
    "ax.set_title('ARIMA-LSTM 混合模型性能提升分析', fontsize=14, fontweight='bold')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels, fontsize=11)\n",
    "ax.axhline(0, color='black', linewidth=0.8)\n",
    "ax.legend(fontsize=12, loc='upper right')\n",
    "ax.grid(axis='y', alpha=0.3, linestyle='--')\n",
    "\n",
    "for bars in [bars1, bars2]:\n",
    "    for bar in bars:\n",
    "        h = bar.get_height()\n",
    "        ax.text(bar.get_x() + bar.get_width()/2., h,\n",
    "                f'{h:.1f}%', ha='center',\n",
    "                va='bottom' if h >= 0 else 'top',\n",
    "                fontsize=10, fontweight='bold')\n",
    "\n",
    "# 指标文本框\n",
    "h_m = metrics['ARIMA-LSTM']\n",
    "a_m = metrics['ARIMA']\n",
    "l_m = metrics['LSTM']\n",
    "txt = (f\"ARIMA-LSTM:  RMSE={h_m['RMSE']:.2f}  MAE={h_m['MAE']:.2f}  MAPE={h_m['MAPE']:.2f}%  R²={h_m['R2']:.4f}\\n\"\n",
    "       f\"ARIMA:       RMSE={a_m['RMSE']:.2f}  MAE={a_m['MAE']:.2f}  MAPE={a_m['MAPE']:.2f}%  R²={a_m['R2']:.4f}\\n\"\n",
    "       f\"LSTM:        RMSE={l_m['RMSE']:.2f}  MAE={l_m['MAE']:.2f}  MAPE={l_m['MAPE']:.2f}%  R²={l_m['R2']:.4f}\")\n",
    "props = dict(boxstyle='round', facecolor='#ffffcc', alpha=0.9, edgecolor='#666')\n",
    "ax.text(0.02, 0.98, txt, transform=ax.transAxes, fontsize=9,\n",
    "        verticalalignment='top', bbox=props, family='monospace')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('fig8_improvement_analysis.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()\n",
    "\n",
    "print(\"\\n全部运行完毕！\")"
   ]
  },
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   "cell_type": "markdown",
   "id": "cee995d4",
   "metadata": {},
   "source": []
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