{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6439c3cf-80ba-4163-acc5-f457dcd04551",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.utils.data import DataLoader, TensorDataset\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "e917626e-cc39-459e-b34c-4fe28ff24442",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   symbol        name trading_name      sector       date   open   high  \\\n",
      "0    1010  Riyad Bank         RIBL  Financials 2020-03-08  18.62  19.10   \n",
      "1    1010  Riyad Bank         RIBL  Financials 2020-03-09  16.74  17.20   \n",
      "2    1010  Riyad Bank         RIBL  Financials 2020-03-10  17.50  17.80   \n",
      "3    1010  Riyad Bank         RIBL  Financials 2020-03-11  17.08  17.08   \n",
      "4    1010  Riyad Bank         RIBL  Financials 2020-03-12  16.00  16.20   \n",
      "\n",
      "     low  close  change  perc_change  volume_traded  value_traded  no_trades  \n",
      "0  18.58  18.58   -2.06        -9.98      3441534.0  6.414230e+07     1354.0  \n",
      "1  16.74  16.74   -1.84        -9.90      4503537.0  7.566794e+07     2474.0  \n",
      "2  16.34  16.90    0.16         0.96     10044037.0  1.697824e+08     5228.0  \n",
      "3  16.50  16.58   -0.32        -1.89      4075890.0  6.858279e+07     2218.0  \n",
      "4  15.10  15.82   -0.76        -4.58      3630178.0  5.719447e+07     2482.0  \n"
     ]
    }
   ],
   "source": [
    "#Load the dataset\n",
    "df = pd.read_csv('Tadawul_stcks_23_41.csv')\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "e127b025-416c-4bd2-88af-2e24df9bd1f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\يوسف عثمان\\AppData\\Local\\Temp\\ipykernel_22376\\237784477.py:66: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  df_feat = df.groupby(\"symbol\", group_keys=False).apply(build_features)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 5/500 - train loss: 0.014474\n",
      "Epoch 10/500 - train loss: 0.007608\n",
      "Epoch 15/500 - train loss: 0.005257\n",
      "Epoch 20/500 - train loss: 0.003987\n",
      "Epoch 25/500 - train loss: 0.003450\n",
      "Epoch 30/500 - train loss: 0.003091\n",
      "Epoch 35/500 - train loss: 0.002906\n",
      "Epoch 40/500 - train loss: 0.002674\n",
      "Epoch 45/500 - train loss: 0.002421\n",
      "Epoch 50/500 - train loss: 0.002480\n",
      "Epoch 55/500 - train loss: 0.002275\n",
      "Epoch 60/500 - train loss: 0.002167\n",
      "Epoch 65/500 - train loss: 0.001927\n",
      "Epoch 70/500 - train loss: 0.001943\n",
      "Epoch 75/500 - train loss: 0.001842\n",
      "Epoch 80/500 - train loss: 0.001712\n",
      "Epoch 85/500 - train loss: 0.001724\n",
      "Epoch 90/500 - train loss: 0.001571\n",
      "Epoch 95/500 - train loss: 0.001523\n",
      "Epoch 100/500 - train loss: 0.001398\n",
      "Epoch 105/500 - train loss: 0.001356\n",
      "Epoch 110/500 - train loss: 0.001232\n",
      "Epoch 115/500 - train loss: 0.001271\n",
      "Epoch 120/500 - train loss: 0.001178\n",
      "Epoch 125/500 - train loss: 0.001160\n",
      "Epoch 130/500 - train loss: 0.001196\n",
      "Epoch 135/500 - train loss: 0.001143\n",
      "Epoch 140/500 - train loss: 0.001140\n",
      "Epoch 145/500 - train loss: 0.001126\n",
      "Epoch 150/500 - train loss: 0.001076\n",
      "Epoch 155/500 - train loss: 0.001085\n",
      "Epoch 160/500 - train loss: 0.001012\n",
      "Epoch 165/500 - train loss: 0.001085\n",
      "Epoch 170/500 - train loss: 0.000995\n",
      "Epoch 175/500 - train loss: 0.001005\n",
      "Epoch 180/500 - train loss: 0.000982\n",
      "Epoch 185/500 - train loss: 0.000927\n",
      "Epoch 190/500 - train loss: 0.000922\n",
      "Epoch 195/500 - train loss: 0.000938\n",
      "Epoch 200/500 - train loss: 0.000890\n",
      "Epoch 205/500 - train loss: 0.000939\n",
      "Epoch 210/500 - train loss: 0.000946\n",
      "Epoch 215/500 - train loss: 0.000931\n",
      "Epoch 220/500 - train loss: 0.000875\n",
      "Epoch 225/500 - train loss: 0.000911\n",
      "Epoch 230/500 - train loss: 0.000848\n",
      "Epoch 235/500 - train loss: 0.000858\n",
      "Epoch 240/500 - train loss: 0.000787\n",
      "Epoch 245/500 - train loss: 0.000819\n",
      "Epoch 250/500 - train loss: 0.000809\n",
      "Epoch 255/500 - train loss: 0.000843\n",
      "Epoch 260/500 - train loss: 0.000811\n",
      "Epoch 265/500 - train loss: 0.000803\n",
      "Epoch 270/500 - train loss: 0.000824\n",
      "Epoch 275/500 - train loss: 0.000769\n",
      "Epoch 280/500 - train loss: 0.000837\n",
      "Epoch 285/500 - train loss: 0.000812\n",
      "Epoch 290/500 - train loss: 0.000759\n",
      "Epoch 295/500 - train loss: 0.000776\n",
      "Epoch 300/500 - train loss: 0.000733\n",
      "Epoch 305/500 - train loss: 0.000748\n",
      "Epoch 310/500 - train loss: 0.000790\n",
      "Epoch 315/500 - train loss: 0.000774\n",
      "Epoch 320/500 - train loss: 0.000750\n",
      "Epoch 325/500 - train loss: 0.000744\n",
      "Epoch 330/500 - train loss: 0.000733\n",
      "Epoch 335/500 - train loss: 0.000697\n",
      "Epoch 340/500 - train loss: 0.000734\n",
      "Epoch 345/500 - train loss: 0.000734\n",
      "Epoch 350/500 - train loss: 0.000696\n",
      "Epoch 355/500 - train loss: 0.000682\n",
      "Epoch 360/500 - train loss: 0.000702\n",
      "Epoch 365/500 - train loss: 0.000644\n",
      "Epoch 370/500 - train loss: 0.000689\n",
      "Epoch 375/500 - train loss: 0.000709\n",
      "Epoch 380/500 - train loss: 0.000730\n",
      "Epoch 385/500 - train loss: 0.000638\n",
      "Epoch 390/500 - train loss: 0.000647\n",
      "Epoch 395/500 - train loss: 0.000644\n",
      "Epoch 400/500 - train loss: 0.000703\n",
      "Epoch 405/500 - train loss: 0.000620\n",
      "Epoch 410/500 - train loss: 0.000649\n",
      "Epoch 415/500 - train loss: 0.000674\n",
      "Epoch 420/500 - train loss: 0.000679\n",
      "Epoch 425/500 - train loss: 0.000632\n",
      "Epoch 430/500 - train loss: 0.000658\n",
      "Epoch 435/500 - train loss: 0.000665\n",
      "Epoch 440/500 - train loss: 0.000636\n",
      "Epoch 445/500 - train loss: 0.000621\n",
      "Epoch 450/500 - train loss: 0.000589\n",
      "Epoch 455/500 - train loss: 0.000583\n",
      "Epoch 460/500 - train loss: 0.000627\n",
      "Epoch 465/500 - train loss: 0.000586\n",
      "Epoch 470/500 - train loss: 0.000590\n",
      "Epoch 475/500 - train loss: 0.000599\n",
      "Epoch 480/500 - train loss: 0.000613\n",
      "Epoch 485/500 - train loss: 0.000570\n",
      "Epoch 490/500 - train loss: 0.000585\n",
      "Epoch 495/500 - train loss: 0.000600\n",
      "Epoch 500/500 - train loss: 0.000583\n",
      "Test samples: 972\n",
      "MAE (price): 0.9191\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "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"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "import torch, torch.nn as nn\n",
    "from torch.utils.data import DataLoader, TensorDataset\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "SEQ_LEN      = 20\n",
    "CUT_FRACTION = 0.8   # 70% earliest dates for train\n",
    "BATCH_SIZE   = 32\n",
    "EPOCHS       = 500\n",
    "LR           = 0.0001\n",
    "HIDDEN       = 64\n",
    "LAYERS       = 2\n",
    "DROPOUT      = 0.4\n",
    "\n",
    "\n",
    "# normalize headers\n",
    "df.columns = (\n",
    "    df.columns\n",
    "    .map(lambda c: c.replace(\"\\u00A0\", \" \"))\n",
    "    .map(lambda c: c.strip())\n",
    "    .str.lower()\n",
    "    .str.replace(r\"[^a-z0-9]+\", \"_\", regex=True)\n",
    "    .str.strip(\"_\")\n",
    ")\n",
    "df = df.rename(columns={\"sectoer\": \"sector\"})\n",
    "for col in [\"symbol\",\"date\",\"open\",\"close\"]:\n",
    "    if col not in df.columns:\n",
    "        raise RuntimeError(f\"Missing required column: {col}\")\n",
    "\n",
    "df[\"date\"] = pd.to_datetime(df[\"date\"], errors=\"coerce\")\n",
    "df[\"open\"] = pd.to_numeric(df[\"open\"], errors=\"coerce\")\n",
    "df[\"close\"] = pd.to_numeric(df[\"close\"], errors=\"coerce\")\n",
    "df = df.dropna(subset=[\"symbol\",\"date\",\"open\",\"close\"])\n",
    "df = df.sort_values([\"symbol\",\"date\"]).reset_index(drop=True)\n",
    "\n",
    "# ----------------------\n",
    "#Feature engineering (Open & Close only)\n",
    "#Features per step: [log_open, log_close]\n",
    "#Target: next-day log_close\n",
    "# ----------------------\n",
    "def build_features(g: pd.DataFrame) -> pd.DataFrame:\n",
    "    g = g.sort_values(\"date\").copy()\n",
    "    # logs are valid only for positive prices\n",
    "    g[\"log_open\"]  = np.log(g[\"open\"].replace(0, np.nan))\n",
    "    g[\"log_close\"] = np.log(g[\"close\"].replace(0, np.nan))\n",
    "    g[\"y_next_log_close\"] = g[\"log_close\"].shift(-1)  # next day's log close (what we predict)\n",
    "    # drop rows where target not available yet\n",
    "    g = g.dropna(subset=[\"log_open\",\"log_close\",\"y_next_log_close\"])\n",
    "    return g\n",
    "\n",
    "df_feat = df.groupby(\"symbol\", group_keys=False).apply(build_features)\n",
    "feature_cols = [\"log_open\",\"log_close\"]\n",
    "target_col   = \"y_next_log_close\"\n",
    "\n",
    "if df_feat.empty:\n",
    "    raise RuntimeError(\"No rows after feature engineering; check data.\")\n",
    "\n",
    "# ----------------------\n",
    "#Walk-forward split by date\n",
    "# ----------------------\n",
    "cutoff_date = df_feat[\"date\"].quantile(CUT_FRACTION)\n",
    "train_df = df_feat[df_feat[\"date\"] <= cutoff_date].copy()\n",
    "test_df  = df_feat[df_feat[\"date\"] >  cutoff_date].copy()\n",
    "if test_df.empty:\n",
    "    raise RuntimeError(\"Empty test set; adjust CUT_FRACTION.\")\n",
    "\n",
    "# ----------------------\n",
    "#Scale features\n",
    "# ----------------------\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(train_df[feature_cols].values)\n",
    "train_df.loc[:, feature_cols] = scaler.transform(train_df[feature_cols].values)\n",
    "test_df.loc[:,  feature_cols] = scaler.transform(test_df[feature_cols].values)\n",
    "\n",
    "# ----------------------\n",
    "#Sequence builders\n",
    "# ----------------------\n",
    "def to_sequences(frame: pd.DataFrame, seq_len: int):\n",
    "    X, y, meta = [], [], []\n",
    "    for sym, g in frame.groupby(\"symbol\"):\n",
    "        g = g.sort_values(\"date\")\n",
    "        F, Y, D, C = g[feature_cols].values, g[target_col].values, g[\"date\"].values, g[\"close\"].values\n",
    "        for i in range(len(g) - seq_len):\n",
    "            X.append(F[i:i+seq_len])\n",
    "            y.append(Y[i+seq_len-1])   # predict next-day log close for last step\n",
    "            meta.append((sym, D[i+seq_len-1], C[i+seq_len-1]))  # store last known date & price\n",
    "    if len(X) == 0:\n",
    "        return np.empty((0, seq_len, len(feature_cols))), np.empty((0,1)), []\n",
    "    return np.array(X), np.array(y).reshape(-1,1), meta\n",
    "\n",
    "def to_sequences_seeded(train_frame: pd.DataFrame, test_frame: pd.DataFrame, seq_len: int):\n",
    "    # seed each test symbol with last seq_len-1 train rows to ensure first test sequence exists\n",
    "    X, y, meta = [], [], []\n",
    "    for sym, g_test in test_frame.groupby(\"symbol\"):\n",
    "        g_test = g_test.sort_values(\"date\")\n",
    "        g_train = train_frame[train_frame[\"symbol\"] == sym].sort_values(\"date\")\n",
    "        seed = g_train.tail(seq_len - 1) if len(g_train) >= (seq_len - 1) else g_train\n",
    "        combined = pd.concat([seed, g_test], ignore_index=True)\n",
    "\n",
    "        F = combined[feature_cols].values\n",
    "        Y = combined[target_col].values\n",
    "        D = combined[\"date\"].values\n",
    "        C = combined[\"close\"].values  # actual close for inverse plotting\n",
    "\n",
    "        test_dates = set(pd.to_datetime(g_test[\"date\"]).tolist())\n",
    "        for i in range(len(combined) - seq_len):\n",
    "            last_idx = i + seq_len - 1\n",
    "            if pd.Timestamp(D[last_idx]) in test_dates:\n",
    "                X.append(F[i:i+seq_len])\n",
    "                y.append(Y[last_idx])\n",
    "                meta.append((sym, D[last_idx], C[last_idx]))  # store actual last close\n",
    "    if len(X) == 0:\n",
    "        return np.empty((0, seq_len, len(feature_cols))), np.empty((0,1)), []\n",
    "    return np.array(X), np.array(y).reshape(-1,1), meta\n",
    "\n",
    "X_train, y_train, meta_train = to_sequences(train_df, SEQ_LEN)\n",
    "X_test,  y_test,  meta_test  = to_sequences_seeded(train_df, test_df, SEQ_LEN)\n",
    "\n",
    "if len(X_train) == 0:\n",
    "    raise RuntimeError(\"No train sequences; reduce SEQ_LEN.\")\n",
    "if len(X_test) == 0:\n",
    "    raise RuntimeError(\"No test sequences; reduce SEQ_LEN or increase test span.\")\n",
    "\n",
    "# ----------------------\n",
    "#model\n",
    "# ----------------------\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "class LSTMModel(nn.Module):\n",
    "    def __init__(self, input_size=2, hidden=HIDDEN, layers=LAYERS, dropout=DROPOUT):\n",
    "        super().__init__()\n",
    "        self.lstm = nn.LSTM(input_size, hidden, num_layers=layers, batch_first=True, dropout=dropout)\n",
    "        self.fc = nn.Linear(hidden, 1)\n",
    "    def forward(self, x):\n",
    "        out, _ = self.lstm(x)\n",
    "        return self.fc(out[:, -1, :])\n",
    "\n",
    "X_train_t = torch.tensor(X_train, dtype=torch.float32).to(device)\n",
    "y_train_t = torch.tensor(y_train, dtype=torch.float32).to(device)\n",
    "X_test_t  = torch.tensor(X_test,  dtype=torch.float32).to(device)\n",
    "y_test_t  = torch.tensor(y_test,  dtype=torch.float32).to(device)\n",
    "\n",
    "model = LSTMModel(input_size=len(feature_cols)).to(device)\n",
    "criterion = nn.HuberLoss(delta=1.0)\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=LR)\n",
    "\n",
    "train_loader = DataLoader(TensorDataset(X_train_t, y_train_t), batch_size=BATCH_SIZE, shuffle=False)\n",
    "\n",
    "# ----------------------\n",
    "#Train\n",
    "# ----------------------\n",
    "model.train()\n",
    "for epoch in range(1, EPOCHS+1):\n",
    "    total = 0.0\n",
    "    for xb, yb in train_loader:\n",
    "        optimizer.zero_grad()\n",
    "        pred = model(xb)\n",
    "        loss = criterion(pred, yb)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        total += loss.item() * xb.size(0)\n",
    "    if epoch % 5 == 0:\n",
    "        print(f\"Epoch {epoch}/{EPOCHS} - train loss: {total/len(train_loader.dataset):.6f}\")\n",
    "\n",
    "# ----------------------\n",
    "#Predict (log-close)\n",
    "# ----------------------\n",
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    y_pred_log = model(X_test_t).cpu().numpy()\n",
    "\n",
    "y_true_log = y_test.reshape(-1,1)\n",
    "\n",
    "# Convert log-close to price\n",
    "# y_pred_log is log(C_{t+1}); exp gives price directly (same units as input)\n",
    "price_pred = np.exp(y_pred_log)\n",
    "price_true = np.exp(y_true_log)\n",
    "\n",
    "# ----------------------\n",
    "#Metrics & predictions\n",
    "# ----------------------\n",
    "mae_price = mean_absolute_error(price_true, price_pred)\n",
    "print(\"Test samples:\", len(price_true))\n",
    "print(f\"MAE (price): {mae_price:.4f}\")\n",
    "\n",
    "pred_df = pd.DataFrame({\n",
    "    \"symbol\": [m[0] for m in meta_test],\n",
    "    \"date\":   [pd.Timestamp(m[1]) for m in meta_test],\n",
    "    \"last_close_actual\": [m[2] for m in meta_test],   # close at time t\n",
    "    \"close_true_tplus1\": price_true.flatten(),        # true close at t+1\n",
    "    \"close_pred_tplus1\": price_pred.flatten()         # predicted close at t+1\n",
    "}).sort_values([\"symbol\",\"date\"]).reset_index(drop=True)\n",
    "\n",
    "# ----------------------\n",
    "#Plots\n",
    "# ----------------------\n",
    "# Scatter: predicted vs actual price\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.scatter(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"], s=12, alpha=0.5)\n",
    "lims = [min(pred_df[\"close_true_tplus1\"].min(), pred_df[\"close_pred_tplus1\"].min()),\n",
    "        max(pred_df[\"close_true_tplus1\"].max(), pred_df[\"close_pred_tplus1\"].max())]\n",
    "plt.plot(lims, lims, linestyle=\"--\")\n",
    "plt.title(\"Predicted vs Actual Next-Day Close Price\")\n",
    "plt.xlabel(\"Actual Close (T+1)\")\n",
    "plt.ylabel(\"Predicted Close (T+1)\")\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Time series: pick symbol with most test points\n",
    "counts = pred_df.groupby(\"symbol\").size().sort_values(ascending=False)\n",
    "sample_symbol = counts.index[0]\n",
    "sym_df = pred_df[pred_df[\"symbol\"] == sample_symbol].sort_values(\"date\")\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(sym_df[\"date\"], sym_df[\"close_true_tplus1\"], label=\"Actual\", marker=\"o\", linewidth=1)\n",
    "plt.plot(sym_df[\"date\"], sym_df[\"close_pred_tplus1\"], label=\"Predicted\", marker=\"x\", linewidth=1)\n",
    "plt.title(f\"Next-Day Close Price — Actual vs Predicted (symbol {sample_symbol})\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Price\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "top_syms = pred_df[\"symbol\"].value_counts().head(6).index.tolist()\n",
    "fig, axes = plt.subplots(3, 2, figsize=(12,10), sharex=False, sharey=False)\n",
    "axes = axes.ravel()\n",
    "for ax, sym in zip(axes, top_syms):\n",
    "    g = pred_df[pred_df[\"symbol\"] == sym].sort_values(\"date\")\n",
    "    ax.plot(g[\"date\"], g[\"close_true_tplus1\"], label=\"Actual\", marker=\"o\", linewidth=1)\n",
    "    ax.plot(g[\"date\"], g[\"close_pred_tplus1\"], label=\"Predicted\", marker=\"x\", linewidth=1)\n",
    "    ax.set_title(f\"Symbol {sym}\"); ax.set_xlabel(\"Date\"); ax.set_ylabel(\"Price\"); ax.grid(True)\n",
    "axes[0].legend()\n",
    "plt.tight_layout(); plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "460ca1c7-061c-4cd0-a45a-77eb69eafed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\يوسف عثمان\\AppData\\Local\\Temp\\ipykernel_22376\\955560591.py:66: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  df_feat = df.groupby(\"symbol\", group_keys=False).apply(build_features)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 5/500 - train loss: 0.152097\n",
      "Epoch 10/500 - train loss: 0.013071\n",
      "Epoch 15/500 - train loss: 0.005854\n",
      "Epoch 20/500 - train loss: 0.004281\n",
      "Epoch 25/500 - train loss: 0.003798\n",
      "Epoch 30/500 - train loss: 0.003712\n",
      "Epoch 35/500 - train loss: 0.003159\n",
      "Epoch 40/500 - train loss: 0.003254\n",
      "Epoch 45/500 - train loss: 0.003058\n",
      "Epoch 50/500 - train loss: 0.002724\n",
      "Epoch 55/500 - train loss: 0.002682\n",
      "Epoch 60/500 - train loss: 0.002588\n",
      "Epoch 65/500 - train loss: 0.002577\n",
      "Epoch 70/500 - train loss: 0.002426\n",
      "Epoch 75/500 - train loss: 0.002631\n",
      "Epoch 80/500 - train loss: 0.002239\n",
      "Epoch 85/500 - train loss: 0.002353\n",
      "Epoch 90/500 - train loss: 0.002321\n",
      "Epoch 95/500 - train loss: 0.002279\n",
      "Epoch 100/500 - train loss: 0.002297\n",
      "Epoch 105/500 - train loss: 0.002240\n",
      "Epoch 110/500 - train loss: 0.002169\n",
      "Epoch 115/500 - train loss: 0.002159\n",
      "Epoch 120/500 - train loss: 0.002051\n",
      "Epoch 125/500 - train loss: 0.001971\n",
      "Epoch 130/500 - train loss: 0.002003\n",
      "Epoch 135/500 - train loss: 0.002001\n",
      "Epoch 140/500 - train loss: 0.001828\n",
      "Epoch 145/500 - train loss: 0.001910\n",
      "Epoch 150/500 - train loss: 0.001937\n",
      "Epoch 155/500 - train loss: 0.001849\n",
      "Epoch 160/500 - train loss: 0.001772\n",
      "Epoch 165/500 - train loss: 0.001826\n",
      "Epoch 170/500 - train loss: 0.001762\n",
      "Epoch 175/500 - train loss: 0.001734\n",
      "Epoch 180/500 - train loss: 0.001682\n",
      "Epoch 185/500 - train loss: 0.001747\n",
      "Epoch 190/500 - train loss: 0.001621\n",
      "Epoch 195/500 - train loss: 0.001676\n",
      "Epoch 200/500 - train loss: 0.001659\n",
      "Epoch 205/500 - train loss: 0.001572\n",
      "Epoch 210/500 - train loss: 0.001504\n",
      "Epoch 215/500 - train loss: 0.001682\n",
      "Epoch 220/500 - train loss: 0.001571\n",
      "Epoch 225/500 - train loss: 0.001629\n",
      "Epoch 230/500 - train loss: 0.001641\n",
      "Epoch 235/500 - train loss: 0.001705\n",
      "Epoch 240/500 - train loss: 0.001446\n",
      "Epoch 245/500 - train loss: 0.001587\n",
      "Epoch 250/500 - train loss: 0.001546\n",
      "Epoch 255/500 - train loss: 0.001455\n",
      "Epoch 260/500 - train loss: 0.001401\n",
      "Epoch 265/500 - train loss: 0.001469\n",
      "Epoch 270/500 - train loss: 0.001634\n",
      "Epoch 275/500 - train loss: 0.001605\n",
      "Epoch 280/500 - train loss: 0.001485\n",
      "Epoch 285/500 - train loss: 0.001393\n",
      "Epoch 290/500 - train loss: 0.001411\n",
      "Epoch 295/500 - train loss: 0.001475\n",
      "Epoch 300/500 - train loss: 0.001374\n",
      "Epoch 305/500 - train loss: 0.001313\n",
      "Epoch 310/500 - train loss: 0.001427\n",
      "Epoch 315/500 - train loss: 0.001271\n",
      "Epoch 320/500 - train loss: 0.001414\n",
      "Epoch 325/500 - train loss: 0.001270\n",
      "Epoch 330/500 - train loss: 0.001334\n",
      "Epoch 335/500 - train loss: 0.001340\n",
      "Epoch 340/500 - train loss: 0.001341\n",
      "Epoch 345/500 - train loss: 0.001272\n",
      "Epoch 350/500 - train loss: 0.001320\n",
      "Epoch 355/500 - train loss: 0.001205\n",
      "Epoch 360/500 - train loss: 0.001282\n",
      "Epoch 365/500 - train loss: 0.001265\n",
      "Epoch 370/500 - train loss: 0.001176\n",
      "Epoch 375/500 - train loss: 0.001200\n",
      "Epoch 380/500 - train loss: 0.001234\n",
      "Epoch 385/500 - train loss: 0.001188\n",
      "Epoch 390/500 - train loss: 0.001246\n",
      "Epoch 395/500 - train loss: 0.001184\n",
      "Epoch 400/500 - train loss: 0.001233\n",
      "Epoch 405/500 - train loss: 0.001185\n",
      "Epoch 410/500 - train loss: 0.001285\n",
      "Epoch 415/500 - train loss: 0.001200\n",
      "Epoch 420/500 - train loss: 0.001110\n",
      "Epoch 425/500 - train loss: 0.001116\n",
      "Epoch 430/500 - train loss: 0.001175\n",
      "Epoch 435/500 - train loss: 0.001072\n",
      "Epoch 440/500 - train loss: 0.001138\n",
      "Epoch 445/500 - train loss: 0.001175\n",
      "Epoch 450/500 - train loss: 0.001136\n",
      "Epoch 455/500 - train loss: 0.001107\n",
      "Epoch 460/500 - train loss: 0.001089\n",
      "Epoch 465/500 - train loss: 0.001086\n",
      "Epoch 470/500 - train loss: 0.001072\n",
      "Epoch 475/500 - train loss: 0.001094\n",
      "Epoch 480/500 - train loss: 0.001028\n",
      "Epoch 485/500 - train loss: 0.001117\n",
      "Epoch 490/500 - train loss: 0.001069\n",
      "Epoch 495/500 - train loss: 0.000952\n",
      "Epoch 500/500 - train loss: 0.001009\n",
      "Test samples: 972\n",
      "MAE (price): 2.3985\n"
     ]
    },
    {
     "data": {
      "image/png": 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6N1iX5HUj45NkJlxlzvp4Y7mpCnU04JyobPbcyWa+OGdTyUyrqtx0003qMS666CLt9ddf19555x3trrvu0hITEyvMcpKZS3I7mU0mt5FZT3Kb2NjYk86ec85WMZlMambVU089pWbO3HPPPdqQIUPKbvP111+r+11//fXa559/rs2ePbvWyngyf//9t3qMsLAwrVOnTidc3717d/X4zz77rPbxxx9r9913n5oFdNlll1X7mIcOHVKzvu6+++5qbzNixAg1s05m2Al5Hpx1fvPNN1W9r7zySu3tt98uu4+UQ/5fX331VfV8LVu2TB2XmWhyXGbAyeyy5557TmvSpIkqe/m3qG3btqkZh1JPeb5eeOEFrUWLFmo2n9xOZjmdyey58pwzOCvPnjty5Ii6T3BwsPo/ldfG888/r1199dVaVFRU2e2eeOIJTafTlc36Es8884x6vP/+978uvY5ONntu5MiR2meffaZ9+umn6vkeM2aMmoEq5frqq68q3EfKIvcZP368NnXqVO2OO+7QoqOj1fNd1XMkdTQajeo+t9xyi+YqmRHatWtXVe9hw4apcslr7sEHH1TPmfzfnWxmpPM5v+aaa7R333237PLw4cPLbiOvq1atWmkPPPCAeu5feeUVrU2bNlp4eLi2Z8+eGv8NVsVZNpk5dzLy3FU3M7Xy609m5Z533nnqcWWmpdTvpZdeUu8p8+bNc0u5qW4wNFG9Ck1C3vh79OihPiScYUHeRJ1TxYVMsZ4yZYqaHi63kzesTZs2qTfvU4UmZxgZPHiwenwpi0y7Lh8A5E1QPnwaNGigPiQqfwC4s4wnI9OVJWDI75cP5crkg2XAgAEq4EhYkpBx//33l01Hr4qEGnm833//vdrbzJgxQ93m+++/L3s+ZBp827Zt1YejPC/yxr969eoKoUfKInWtvKzCb7/9pnXs2FHdVz4EJUBU9cH6ww8/qP8LWRqgadOm2osvvlg2ndudoWnnzp2awWA4ITSJtLQ0tVSAPO8SrhMSErSBAweq/3MhdZbQIa+P8uQ56tWrl/oAdE7NP9XrqLrQ5DzJ75EA1KdPHxXC9+/ff8J9ZMkBCcvO11n//v21pUuXnvQ5koArj//vv/9qNSFLLkiQkXqGhoaq/08JOVLHXbt2ld2uqv9bq9Wq/h5kyQ95XuX5lTpJ+Z3WrFmjAmNSUpJ6PcfFxWmXXnqptmrVqhPK4srfYF2FJudzI8t3OOsnr5urrrpK2717t1vKTXVDJ/9U1QJFRET+SRa6lPFXzlmTRFSKY5qIiKjCeDJZj+hMVvcm8lWcPUdERGoNJ5kRKYO5ZZKCLOhIRBWxpYmIiLB48WLVuiThSfaAk4UliagijmkiIiIicgFbmoiIiIhcwNBERERE5AIOBD++509qaqraIsHdu7ITERGRd5ORSrLhtKziX3nf0/IYmgAVmGTzTyIiIvJfBw4cUPsuVoehCVAtTM4nS3YGl32jZO+lIUOGVLu5oi9j/f23/v5cd8H6s/7+Wn9/rrvIzc1VjSfOPFAdhqZyO41LYHKGpuDgYPWzP754WH//rb8/112w/qy/v9bfn+te3qmG6HAgOBEREZELGJqIiIiIXMDQREREROQChiYiIiIiFzA0EREREbmAoYmIiIjIBQxNRERERC5gaCIiIiJyAUMTERERkQsYmoiIiIhcwNBERERE5AKGJiIiIiIXMDQRERERuYChiYiIiMgFDE1ERERELmBoIiIiInIBQxMRERGRCxiaiIiIiFzA0ERERETkAoYmIiIi8mo70vKQXWjxdDEYmoiIiMh7bTqUg2s+XIrrP1mBnCKrR8vC0EREREReaePBHIz6aBmyC63Q63WeLg6Mni4AERERUVUig00IDTCiZVwoZtzQG+GBJngSQxMRERF5pSbRwfjqpn6ICjGr8ORp7J4jIiIir7FsTwZ+3XykQnDyhsAkGJqIiIjIK/y76xjGT1+B22etwcp9mfA2DE1ERETkcUt2HMWEGStRbHWgf8tYdGoUAW/jHe1dRERE5LcWbUvHTZ+vhsXmwKB2cXh3dHcEGA3wNgxNREREVCusdgc2HMxBbpEV4UEmdG4cAZNBX+G6hVuP4MPFe+DQgPYNw/HK1V1OCEwne5y6xNBEREREbme1OzB7RQqW78mEXdNg0OnQp3k0RvZOUtfLdb9sPIyle0rHLhn1OmTkF+PRuRvx8tVdEGw2nvJx6jo4cUwTERERud2Ggzkq6CREBKJNfJg6l8ty3Hmd7nhYMht0CAswqKC0Zn825q1Ndelx6hpbmoiIiMjtcousqmXIuVyAnMtlOa5pmvpZuuQkMMkilkVWB0xGPQotdqTnFbv0OHWNoYmIiMhHVB77065hmNq7bcXeLGw6mAOL3Y5GUUEY1D4OQSaj2sstLacY+cUWNASwal8mejZvcMK4o9MZSxQeZFJdafklNhV05Fwur0nJwroD2eqYQa9T26PIjDlpdbLaHNDrdIgLCzzl48jxusbQRERE5AMqj/2RaKMB2Hs0D3uPFcJil0uAbOE2b+0hFZ4AHVKzi2DWaXi8K/DiL9txeY9CjOmbrG57JmOJOjeOULcvf3+TQYd3Fu2CpgHDuyYiLNCIkAAjcgqtqpWpyGpHj+QoDO+WeNLHkctyvK4xNBEREfmA8mN/pEVmz9F8/Ls7A1abHTZJKRKRdFCBpcBiR2pWEQLMMktNUy0+oshqw4LNaejcOFJdLv94+SU2dblDYoQKNqciwUoCltxeWqqW7c1Qs+TE9X2T8dgl7bApNVd1xa1PyYbZqEdCRJAKTM5B4FU9DmfPERER0RmpPPZHurnsDgcckpK00hYmRYITAAcAm10Ckx46nbMVSocSu6NsvNCZjiUyGfQqYM1cuq8sME3o3xRPXNoeOp2uLHxd1LGhS4/jaZw9R0RE5APKj/0REpYkEEkQkqAkg64lGh1vdFIBwGgoDVbOY3KfAINePVblx8s/zbFE0/7eiye+36x+njygeVlgqo/Y0kREROQDKo/9kVDUu1n0/8Y0QVPhSFqcgs0GJJYb02SXRAWoweGDO8SXjRc607FEqdlFeHH+NvXzree1wP1D29TbwCQYmoiIiHxAVWN/ajJ7Drlb8eBFbSrMnjvTsUSJkUGYOrYn1qVk486BLet1YBIMTURERD6iqrE/vZvFqNPJWK1W/PzzVvRsGl0hFJ3uWKLMAguiQ8zq53NbN1AnX8AxTUREROQWmqbh1d+2Y+gbS9TsPV/D0ERERERuCUwvzt+Ot//YhaN5JWq5A1/D7jkiIiI648D07H+34uO/96rLMkPOuUCmL2FoIiIiojMKTFN+3IIZ/+5Tl/9zeQdc368pfBFDExEREZ0Wh0PDEz9swufLUtTl567ohFF9kuCrGJqIiIjotBTb7Nh4KFdtz/LiiM64pmcT+DKGJiIiIjotwWYjZt7QGyv2ZmJw+3j4Os6eIyIiIpfZ7A4s2pZedjkiyOQXgUkwNBEREZHLgemer9djwoyVmP5P6Uw5f8LuOSIiIjolq92BO2evxS+bjsBk0KFhhOxd518YmoiIiOikLDYHbp+1Br9tSYPZoMd7o7tjkJ90yZXH0ERERETVKrHZcevna/D7tnSYjXp8eH0PnN8mDv6IoYmIiIiqZHdomDxzNRbvOIoAox4fj+uJc1r5xua7p4MDwYmIiKhKBr0OfZvHIMhkwPQJvfw6MAm2NBEREVG1bjmvBS7vmojESP8b+O1VLU1LlizBZZddhsTEROh0OsybN6/a2958883qNm+88UaF45mZmRg9ejTCw8MRGRmJiRMnIj8/vw5KT0RE5HvyS2x46ofNyCu2lh1jYPKC0FRQUIAuXbrg3XffPent5s6di2XLlqlwVZkEps2bN2PBggX46aefVBCbPHlyLZaaiIjIN0lQGvvJcrX5riwvQF7UPXfRRRep08kcOnQId9xxB3799VdccsklFa7bunUr5s+fj5UrV6Jnz57q2Ntvv42LL74Yr7zySpUhi4iIiE5UaAPGf7oaGw7mIjzQiHsGt/Z0kbyOVw8EdzgcuP7663H//fejQ4cOJ1y/dOlS1SXnDExi0KBB0Ov1WL58eR2XloiIqH7KLrTi3S0GFZgig02YNakvOjeO9HSxvI5XDwR/8cUXYTQaceedd1Z5/ZEjRxAXV3GtCLl9dHS0uq46JSUl6uSUm5urzq1Wa9nJedkfsf7+W39/rrtg/Vn/8uf+IrPAgrHTV+FggQ5RwSbMnNATbeKC/ep5sLpYV68NTatXr8abb76JNWvWqAHg7vT8889jypQpJxz/7bffEBwcXHZZxkn5M9bff+vvz3UXrD/r70/e3aLHjhw9wkwabmpVhD1r/sIe+JfCwsL6HZr++usvpKenIykpqeyY3W7Hfffdp2bQ7du3DwkJCeo25dlsNjWjTq6rzsMPP4x77723QktTkyZNMGTIEDULTxKn/NEMHjwYJpMJ/ob199/6+3PdBevP+vtj/Vv1yMc9czZgRMNsjBnmX3Wv3ONUb0OTjGWS8UnlDR06VB2fMGGCutyvXz9kZ2erVqkePXqoY3/88YcaC9WnT59qHzsgIECdKpMXSvkXS+XL/ob199/6+3PdBevP+vt6/R0ODXp9aS9O+8ZR+OHWfpg//xe/qHtVXK2zR0OTrKe0a9eusst79+7FunXr1JgkaWGKiYk5oVLSgtSmTRt1uV27drjwwgsxadIkfPDBB+pbwu23347rrruOM+eIiIiqkJpdhBtmrMSTl3VAvxaln7POAEVePHtu1apV6NatmzoJ6TKTn5944gmXH+OLL75A27ZtMXDgQLXUwNlnn42pU6fWYqmJiIjqp4NZhbh26lJsO5KnFrCUveXIdR5taTrvvPOgaa7/h8k4psqkVWrWrFluLhkREZFvSckoxMiPluFQdhGSY4IxbUIvtbccuc5rxzQRERGRe+w7VqAC0+GcYjSLDcHsSX2REBHo6WLVOwxNREREPmz30XyM+mgZ0nJL0KJBaWCKC2dgOh0MTURERD5s2t97VWBqHR+KL27siwZhJ84eJ9cwNBEREfmwp4Z1QEiAETcNaI6YUAYmn917joiIiGruQGahWotJmAx6PHJxOwYmN2BoIiIi8iGbDuXgsnf+xuPfb6rRDHU6NYYmIiIiH7H+QLYa9J1daMWWw7kosto9XSSfwtBERETkA1bvz8KYj5cjt9iGnslRmHlDbwSbOXTZnfhsEhER1XMr92Vi/LQVKLDY0adZNKaN76UGf5N78RklIiKqx5btyVB7yRVa7DirRQw+HteTLUy1hM8qERFRPZZdaEGJzYFzWsXio7E9EWgyeLpIPouhiYiIqB67sGNDfDbRhO5JUQxMtYwDwYmIiOqZJTuO4mBWYdnls1rEMjDVAYYmIiKieuS3zUcw8dOVGPXRcqTnFXu6OH6F3XNERET1xC8bD+OO2Wthc2jo1CgCUcFmTxfJrzA0ERER1QM/rk/F3V+tg92h4fKuiXj16i4wGthhVJcYmoiIiLzcvLWHcO/X6yDbyV3ZvRFevqoLDHqdp4vldxhRiYiIvNj8TUdwz/HAdE3PxgxMHsSWJiIiIi/WIzkKzWND0Kd5DJ65vCP0DEwew9BERETkxRqEBeC7W/ojPMgInY6ByZPYPUdERORlZvyzF1+vOlB2OSLYxMDkBdjSRERE5EU+/msPnvnvVkhGapcQjk6NIzxdJDqOoYmIiMhLvP/nbrw4f5v6+bbzWqJjo3BPF4nKYWgiIiLyAm//vhOvLtihfr57UCvcNbAVu+S8DEMTERGRB2mahjcW7sSbv+9Ul/9vSGvcfkErTxeLqsCB4EREpFjtDnX+146jWL0/q+wy1a6/dh4rC0wPXdSWgcmLsaWJiIhUQPpm9UHIkOPv1h6CpjOgT/NojOydBBO36qhV57SKxeQBzREXFoAbz2nu6eLQSTA0ERERNhzMwap9WRgYCrSMC0WeRcPyPZnokBihFlck93fJWewOBBgNatzSIxe383SRyAX8+kBERMgtssKhaWWXQwOMsGuaOk7uD0xP/bAZN366CsVWu6eLQzXA0ERERAgPMkFfbqZWfokNBp1OHSf3cTg0PDpvEz5duh9/7zqGpXsyPF0kqgF2zxERETo3jkDPplHAsUPYlZ5fNqZJjpP7AtPD323EV6sOqIUrZePd89vEebpYVAMMTUREpAZ7X9WjMRb8uglXdmuEiNAgFZg4CNw97A4N93+zHt+tOQTZb/e1a7pieLdGni4W1RBDExERKc6AdE7rBjCZ2C3nLja7A/fNWY/v16XCoNfhjWu74rIuiZ4uFp0GhiYiIqJatD+zEH9sTYdRr8PbI7vhok4NPV0kOk0MTURERLWoRYNQfDqxN47llWBIhwRPF4fOAEMTERGRm5XY7EjJKESr+DB1uXsS17ryBRzhR0RE5Eay9tLNn63GiPf/xaZDOZ4uDrkRW5qIiIjcGJgmzVyl9pMLNOmRw8VBfQpDExERkRsUWey4ceZK/LMrA8FmAz4Z1wv9WsR4uljkRgxNREREZ6igxIYbZqzE8r2ZCDEbMOOG3ujVNNrTxSI3Y2giIiI6A7LlzITpK7ByXxbCAowqMHGTY9/E0ERERHQGZP2lAKMB4YFGzJzYB12bRHq6SFRLGJqIiIjOQKDJgI/G9sSBrEK0Pr7EAPkmLjlAREQVWO0OrN6fhUXb0tW5XKaKsgst+PTffdA0TV0OMhsYmPwAW5qIiKiCb1YfxPJ9ObBrGgw6Hfo0j8bI3kncvPe4jPwSjPlkBbYezkWhxY5bzmvh6SJRHeFfABERVbBqXxYSIgLRJj5MnS/fk4kNB7lIoziaV4JRHy1XgSk2NACD2sV5ukhUh9jSREREFTg0DaEBpR8Pci4tTrlcpBHpucUY+dEy7D5agPjwAMya1FftK0f+gy1NRERUgV6nU9PohZxLF114kAn+7EhOMa6bWhqYGkYE4qvJ/RiY/BBbmoiIqIKeTaNOGNPUuXEE/HlrFGlh2nusAI0igzB7Ul8kxQR7uljkAQxNRERUwVU9GqND42jVJSctTBKY/HkQuCwpcNOA5nh/8W58cWMfNI5iYPJXDE1ERFSBBCSuaF3Rdb2TMLxbIxWgyH/571cHIiKiakhX3NhpK9TyAk4MTOTR0LRkyRJcdtllSExMhE6nw7x588qus1qtePDBB9GpUyeEhISo24wdOxapqakVHiMzMxOjR49GeHg4IiMjMXHiROTn53ugNkRE5Av2HC3AtR8uxZIdR/HED5s9XRzyIh4NTQUFBejSpQvefffdE64rLCzEmjVr8Pjjj6vz7777Dtu3b8ewYcMq3E4C0+bNm7FgwQL89NNPKohNnjy5DmtBRES+4kghMHraSqTnlah1qqYM6+DpIpEX8eiYposuukidqhIREaGCUHnvvPMOevfujZSUFCQlJWHr1q2YP38+Vq5ciZ49e6rbvP3227j44ovxyiuvqNYpIiIiV2w/koe3NxuQb7OgXcNwNeg7OsTs6WKRF6lXA8FzcnJUN550w4mlS5eqn52BSQwaNAh6vR7Lly/HFVdcUeXjlJSUqJNTbm5uWZeg8+S87I9Yf/+tvz/XXbD+/lv/LYdzMW76auTbdOjQMAwzxvdAmFnnN8+FP//f16Te9SY0FRcXqzFOI0eOVOOXxJEjRxAXV3EJe6PRiOjoaHVddZ5//nlMmTLlhOO//fYbgoP/N5W0ckuXv2H9/bf+/lx3wfr7V/1lz91XNxqQXaRDcqiGMY2z8O+f/vUc+Ov/ffkhQT4TmiQBXnPNNWo36ffff/+MH+/hhx/GvffeW6GlqUmTJhgyZIgKZPL75IUzePBgmEz+twou6++/9ffnugvW33/r3+WsIrz063acG5yKYRf5X/39+f++fI9TvQ9NzsC0f/9+/PHHH2WtTCIhIQHp6ekVbm+z2dSMOrmuOgEBAepUmbxQyr9YKl/2N6y//9bfn+suWH//qH9usRXhgaX1bBZnwlvXdcXPP6f6Tf2r4q91N7lYZ319CEw7d+7EwoULERMTU+H6fv36ITs7G6tXry47JsHK4XCgT58+HigxERHVB8v3ZOCcFxfh183VD+Ug8qqWJllPadeuXWWX9+7di3Xr1qkxSQ0bNsRVV12llhuQpQTsdnvZOCW53mw2o127drjwwgsxadIkfPDBBypk3X777bjuuus4c46IiKr0765jmPjpKhRZ7Zi9IgVD2serSUZEXh2aVq1ahfPPP7/ssnOc0bhx4/DUU0/hhx9+UJe7du1a4X6LFi3Ceeedp37+4osvVFAaOHCgmjU3YsQIvPXWW3VaDyIiqh/+2nkUN366CiU2Bwa0boAPxvRgYKL6EZok+Mjg7uqc7DonaXWaNWuWm0tGRESVWe0ObDiYU2838l20PR03fbYaFpsDF7SNw3uju3NrFKoRrx8ITkRE3hGYpCtr+Z5M2DUNBp0OfZpHY2TvpHoRnBZuScOtX6yBxe7A4PbxeGdUNwQYGZioZrz/lU5ERB4nLUwSmBIiAtX2InIul+V4fbB4x1EVmC7skIB3R3VnYKLTwpYmIiI6JemSkxam0IDSjw05l8tyvD6QPeRka5SrezauFy1j5J34yiEi8pLur9X7s7BoW7o6l8veRMYwSZdcfolNXZZzuSzHvXlZAefzqNfrMKpP/ehKJO/FliYiIg+rD+OFZNC3lKlyGeW4N5q79iDu+3o9LurUEG9e2xVGL3keqX5jaCIi8qLxQtLtJa04crlDYgR6JEfBG0h4kxAnZfL22XNfrzqAB7/doPaUCwswQs8lBchNGJqIiDysvowXkoDkLSGuOtJi9/B3G9XPY/om4elhHVXXHJE7eN9XBCIiP1Mfxwt5o8+W7isLTOPPaor/XM7ARO7FliYiIg+rb+OFvNHMpfvwxPeb1c83nt0Mj17Sjit9k9sxNBEReVh9Gi/krVo0CEWAUY8J/ZvhwQvbMDBRrWBoIiLyAvVhvJA3698yFvPvHoCmMcEMTFRr+DWGiIjqpY//2oOdaXlll5vFhjAwUa1iaCIionpFNnN/bcEOPPPfrRj18XJkF1o8XSTyE+yeIyKiehWYXv51O977c7e6POmcZogMNnu6WOQnGJqIiDy4ErgsbOnNg7+9qYwSmJ7/ZRumLtmjLj9+aXtMPLuZR8pC/omhiYjIA+rD1ineVEYJTE//tAXT/9mnLj99eQeM7de0TstA5B1/mUREfrx1Spv4MHUul+W4t/CmMk77Z19ZYHruik4MTOQRbGkiIvKA+rB1ijeV8eqejfHj+lSM6p2Ea3o1qfPfTyQYmoiIPLx1inOTXm/bOsXTZZQuOecSAuGBJnxzcz8YvaTrkvwTQxMRkQfUh61TPFlGu0PD/XPWo23DMEwe0EIdY2AiT2NoIiLygPqwdYqnymizO3DP1+tVd5xxvQ5D2iegaWxIrf5OIlcwNBEReUh92DqlrssoM/bu+nItft54BEa9Du+M6sbARF6DoYmIiLyCxebAHbPX4NfNaTAZdHhvdA8Mbh/v6WIRlWFoIiIijyux2XHbF2uwcGs6zEY9PhzTA+e3jfN0sYgqYGgiIiKPrwi+aFu6CkwBRj0+GtsTA1o3cPvvIDpTDE1ERF7Am7Yr8cSK4Bd2bIhHL26H9onh6N8y1q2PTeQuDE1ERB7mTduVVLciuHOdJrkss+ncMTi80GKDzaGpNZjEpAHN3VBqotrjPXNbiYj8lDdtV1JXK4IXlNgwfvpKjP1kBfKKvWcVdKKTYWgiIvIwb9qupLoVwYW7VgSXkDRu2gqs2JuJ3en52J9R6KYSE9Uuds8REfn5diV1uSJ4TlFpYFp3IBvhgUZ8fmMfdGzkPaugE50MQxMRkYd565Yq7l4RPLvQgrHTVqhux8hgEz6fyMBE9QtDExGRh3nzliruWhE8q8CC0R8vx5bDuYgOMavAJDPliOoThiYiIi9QH7ZUORNZhRak55UgNtSML27sizYJYZ4uElGNMTQREXkRb1yvyR2aNwjFrEl9oNcBLeMYmKh+YmgiIvIS3rpe0+lKyy3GvmMF6NM8Rl1uHc+wRPVb/fsrJCLyUd66XtPpOJxThOumLsO46SuwbE+Gp4tD5BYMTUREXsJb12uqqYNZhbj2w2XYe6wAsaEBaBQZ5OkiEbkFQxMRkZeorcUk69KBzNLAlJJZiKToYHx1Uz80iQ72dLGI3IJjmoiIvIS3rtfkKhm/NOqjZUjNKUaz2BA18LthBFuZyHcwNBEReel6TSEBBmga8PfOY14/ky41uwjXTl2KtNwStGgggakv4sMDPV0sIrdiaCIi8sL1murbTLq4sABV7p1p+SowNQgL8HSRiNyOoYmIyMtn0jn3o5PL0grljYtgGg16vHldN+QX2xAVYvZ0cYhqhfd9XSEionoxk25Lai6e+3krHA5NXZYWMAYm8mVsaSIi8vKZdM6WJm+aSbfpUA7GfLIc2YVWtZfczee28HSRiGodQxMRkRfy5pl06w9k4/pPliO32IauTSLVOCsif8DQRETkhXvNVZ5J5y2z59akZGHcJyuQV2JTY6tmTOiFsEDvaP0i8rrQtHfvXvz111/Yv38/CgsL0aBBA3Tr1g39+vVDYCCnlxIRuepUM+ScM+m8xcp9mZgwfaXqKuzdNBrTJvQqG3NF5A9cfrV/8cUXePPNN7Fq1SrEx8cjMTERQUFByMzMxO7du1VgGj16NB588EEkJyfXbqmJiHyAtDAt250Bg14Ho14Ph6apy944Qy632IqJM0oDU7/mMfhkfE8EmxmYyL+49IqXliSz2Yzx48fj22+/RZMmTSpcX1JSgqVLl+LLL79Ez5498d577+Hqq6+urTITEfmEzIIS7M0ogM2uqcCk1+lgNOjUcW8THmjCS1d1xpcrD+D90T0QZDZ4ukhE3hmaXnjhBQwdOrTa6wMCAnDeeeep07PPPot9+/a5s4xERD7paJ4F2QVWxISaERJgREGJDRn5FnXcW9jsDrUGk7iwY0MM7ZAAnU7n6WIReYRLIwpPFpgqi4mJQY8ePc6kTEREfqFBmBmRISaU2BzIyC9R5xHBJuQUWbFoWzpW789S4548Rcow9I0lOJRdVHaMgYn8mdumYdhsNqSkpNToPkuWLMFll12mxkfJH+K8efMqXK9pGp544gk0bNhQjZ8aNGgQdu7cWeE2MqZKxlKFh4cjMjISEydORH5+vlvqRERUm6JDAtA0JgRtEsLQPjECreNDodcBf+04qgaIv/rbdkz5YTOW78mo8/C0cEsabvpsNXYfLcBHS/bU6e8m8vnQtHnzZjRr1qxG9ykoKECXLl3w7rvvVnn9Sy+9hLfeegsffPABli9fjpCQENXqVVxcXHYbCUzyuxcsWICffvpJBbHJkyefcX2IiGqbLCHQr0WM2pTXYncgq9AKHXRoFR+qLh/OLsLCrWl4c+FOFaLqKjj9tiUNN3++WpXhkk4N8egl7erk9xJ5O49OfbjooovUqSrSyvTGG2/gsccew+WXX66OzZw5U83ckxap6667Dlu3bsX8+fOxcuVKNQBdvP3227j44ovxyiuvqBYsIiJvVX4tJhn8/dfOY9h0MBsHsopwMLMQkcFmGIqtCA001tm+c2szdPhs+QbYHRqGdUnEa9d0KRvTROTvXA5N3bt3P+n1RUX/6/N2B1kP6siRI6pLzikiIgJ9+vRRM/UkNMm5dMk5A5OQ2+v1etUydcUVV7i1TEREtRGcpMVJWpJ2peUjNacYh7KLy/adk6ELkcEmtfp2be879+OGw5i5Qw8HNFzZrRFevrqLWg6BiGoYmrZs2aKCSnVdcIcPH8aOHTvgLhKYhLQslSeXndfJeVxcXIXrjUYjoqOjy25TFVkiQU5Oubm56txqtZadnJf9Eevvv/X357p7sv7rDmRj1Z5jaBcfgmATsDM9X82qyy7QoWVcKMJMehSXaAg162qtbDJL7sMle+GADld2bYjnhreHw26Dww6/4c+vf3+ue03q7XJo6tixo2rlueWWW6q8ft26dfjoo49QHzz//POYMmXKCcd/++03BAcHl12WcVL+jPX33/r7c909Vf+BoaXnnaNlhLjzqLyRF5T+GAqkbjyE1I21V4YxjYGlZh3OCTyAX+cfgL/y59e/v9a9sLDQvaGpf//+2L59e7XXh4WFYcCAAXCXhIQEdZ6WlqZmzznJ5a5du5bdJj09/YRZfDKjznn/qjz88MO49957K7Q0yYKdQ4YMUbPwJHHKC2fw4MEwmfxvTyXW33/r789192T9paXps6X7ER8eULZe0+GcYpzVIhYJ4QEICzKhQ2J4rew7t+doAZo3CCmrfzj///2y/v5c9/I9Tm4LTbKFysm0aNECixYtgrtIN6AEn99//70sJEmlZKySs7VL9rvLzs7G6tWry9aG+uOPP+BwOFSr2MkW45RTZfJCKf9iqXzZ37D+/lt/f667J+rfNTkGW9MKju9BZyndg65FA1x9fA+62jJz6T489cNmvDCiM67p+b+dHvj/77/199e6m1yss0dnz8l6Srt27aow+Fu6+WRMUlJSEu6++24888wzaNWqlQpRjz/+uJoRN3z4cHX7du3a4cILL8SkSZPUsgSSlG+//XY19ooz54ioPs6ik8He4UEmNTi8NgPTtL/34umftqifd6dzbTsirw9Nsvnv+eefX3bZ2WU2btw4zJgxAw888IBay0nWXZIWpbPPPlstMSCbA5ffSFiC0sCBA9WsuREjRqi1nYiI6hMJSHW1Se/UJbvx3M/b1M+3ntcC9w9tUye/l8ivQ5OM/5GWoebNm5/W/WWvOlmPqToy1fbpp59Wp+pIq9SsWbNO6/cTEfmbdxftwsu/lo5PvXNgK9wzqBW3RiGqi9B0ssBDRETeRVYWf31h6dIw9w5urUITEdWT7jkiIqob8iW3xFa66NIDF7bBree19HSRiHw7NMm+buXZ7XasWLECBw8eLDvmzmUHiIj8iewtt+FgTq0MBpcuOBm7NKB1A/RtHuOWxyTyNzUKTTJAuzxZVfv+++9Xq3A7/yj37OFu2ERENQ1JwWYDthzOxap9WWoLFbXsQPNoNavudIOTtC7NWpGCK7s1RpDZoN6jGZiI6ig0yZIAlRe0XLx48WkPBCci8ufAJPvNla7NpCG30IqcYit6N4tGeKAJ+SW2M9qkVwLTlB+3YMa/+/Dr5jTMGN8Leu4jR3RGuHU1EZEHSAuThKKEiEC0iQ9DaKARGfkWtRq4kM16VZg6jU16HQ4Nj3+/SQUmcWGHBAYmIjfgQHAiIg+QMCShSMKRiJSdeqEhu9CKhhFBqqVJuuhkbFNNxjxJYHpk7kZ8ufIAZCWBFyut9k1EHgpNY8aMUWs1ERFRzUjokVAk4UiCU4jZiJiQAHV5e1pe2ZgmCUZVdedVNebJ7tDw4Lcb8M3qg5CGpVeu7oIruzf2bEWJfMgZhab333/ffSUhIvIjEoZ6No3Cgi1pKLHaEWAy4IrujdTxghL7CS1J5bvzJGRVNeZpyo+bVWAy6HV47ZouuLxrIw/XkshPQ5MM9l65ciViYjjzgojIbUsIyBrB0o+mQYWdbklRVc6Wq9ydV9WYpxHdG+PH9al4ZngnXNK5Ye1XkMjPuBya9u3bp9ZlIiKiUztVd5qEKVleoF1ieFnLkVzu3Diyytlylbvzqhrz1KVJJJY8cD7CAv1vl3qiusCB4EREteBU3WmutByVJ61UErrKh7AeyZH4bOk+1ULVtUmkuh0DE5GXhKZff/0VERGlgxKrM2zYsDMtExFRvXeqUORKy1F50jolrVQSuuQxAk0GfLhkN/7cfhT/7M7AkvvPVwtYEpGXrghemaw2yy48IqJTh6KqWo7Kz5arLjhJK1Wx1Y7Jn63Gkh1HEWDUq0HfDExEXhaajhw5gri4uNorDRGRjzhVKKrccuTqXnNFFjsmzVyFv3cdQ5DJgE/G98RZLWLrqFZE/s3l0CStSERE5BpXQpGz5chVslr4xE9XYtmeTLVX3fTxvdCHe8kReV9okn2MiIjIdTUNRafyzqJdKjBJd9+nN/RCj+Rotz02EbkxNMl4pqCgIFdvTkREbnbXwFbYd6wAkwc0V+s5EZEXhqaCggJMnz7d5QeV24eEhJxJuYiI6PgYpkCTXg2RkBlz74/p4ekiEfmtk484PK5ly5Z44YUXcPjw4ZN23y1YsAAXXXQR3nrrLXeWkYjIL2UXWnD1h//ihfnbOESCqL60NP3555945JFH8OSTT6Jr167o2bMnEhMTERgYiKysLGzZsgVLly6F0WjEww8/jJtuuqn2S05E5MMyCywY/fFybD2ci9TsYkzs3wxx4YGeLhaRX3MpNLVp0wbffvstUlJSMGfOHPz111/4999/UVRUhNjYWHTr1g0fffSRamUyGLhWCBHV033gvMSx/BKM/mg5tqflITY0ALMm9WFgIqpv6zQlJSXhvvvuUyciovoUmD79dx++W3MA6fkW6DUdejaNwvMjOiEiyAxvkp5bjFEfL8eu9HzEhUlg6ouWcaGeLhYRce85IvIHK/Zm4KMlu3E03wLH8aFB8zcdQUZ+Cabf0BvBZu94KzySU4xRHy3DnmMFSAgPxOzJfdEslpNqiLyFd7ZNExG50W+b03CswAIZS23UAUY94ACw8VAu5q1NhbdYvT8LezMK0CgyCF/dxMBE5G284+sVEVEtKrI6VGCCDtDrdepnHTQ4NA3pecXwFpd0bgiboyu6J0WhSXSwp4tDRJWwpYmIfF7nRuFq0LeEJZtdg/14H53ZqEdcmGcHWB/ILMTRvJKyy5d3bcTAROSlGJqIyOdd2aMxBrSOhckg7UtQJwlM/VrEYHi3RI+VS1b3vubDpWock8yYIyIf7J6TJQc+/PBD7N69G9988w0aNWqEzz77DM2aNcPZZ5/t/lISEZ0BGej95nXdMGflASzeeUx66XBOqxhc0yvJY4PAdx/NV2EpLbdEzY5zOEeoE5HvtDTJek1Dhw5V+9CtXbsWJSWl345ycnLw3HPP1UYZiYjOmISjcf2bYdr4XvhkfC+M79/cY4FpZ1oerptaGpjaxIdh9qS+XIeJyBdD0zPPPIMPPvhALWZpMpnKjvfv3x9r1qxxd/mIiHzKtiO5KjDJOKa2CWFq4coGYQGeLhYRuaDGX7O2b9+OAQMGnHA8IiIC2dnZNX04IiK/IVuiSJdcVqEVHRLD8fnEPogK8a7FNYnIjaEpISEBu3btQtOmTSsc//vvv9G8efOaPhwR0WlteVKftkVxknKGBBiRFB2MmTf0QUTw/1rricgHQ9OkSZNw1113Ydq0adDpdEhNTVWb9f7f//0fHn/88dopJRH5DQlDs1ekYPmeTNg1DQadDn2aR2Nk76SyUOTqbbwtVJUuWtkPYYFGhAcyMBH5fGh66KGH4HA4MHDgQBQWFqquuoCAABWa7rjjjtopJRH5BQk6c1YdxI/rUhEfEYiWsaEostpVOOqQGIEeyVHqdhKG5FhCRCBCA4zIL7FVuI08zufL9mPBljSUWO0IMBkwuH08xvRNrvPgJKt8y35yF3VqWBaciMhPQpO0Lj366KO4//77VTddfn4+2rdvj9BQbihJRKfP2Xr04/pUpGQWIrvIivxiGzo2ilCtSdJi5CQ/yzEJTELOy99mbUoWvll9EIUlNrUCuKPAoi7LOKLezWLqrE4r92Vi/LQVKLE5MDPYhLNaxNbZ7yYi9zvtr1xms1mFpbZt22LhwoXYunWre0tGRH6lrPUoPFB1pwUY9TiUXYR9GQWq+02OOcnPckxamIScl7/NugM5yMi3IDLYjNjQAHUul+V4XVm6OwNjP1mBAotddR12a1LaSkZEfhSarrnmGrzzzjvq56KiIvTq1Usd69y5s1rDiYjodDhbj5rGhqBRVJBqnZFjaTnFKnTImCQn+VmOHckpxva0PHVe/jayeGXput/laceP176/dx7DhBkrVNfigNYN8Mm4XggyG+rotxOR13TPLVmyRHXPiblz56rxTbLUwKeffqrWcBoxYkRtlJOIfJyz9ajQYkenRhEICzAiNadIjVFqGBGoWqKcg7nlJIO+ZQxTVQO95eeYkABkF1pg0OvUXnNyuXzwqi2LdxzF5JmrVOi7oG0c3hvdHYEmBiYivwxNsvJ3dHS0+nn+/PkqJAUHB+OSSy5R45yIiE6Hs/VIuuisjtJWJj10WH8wG3syCmDS6yvMkJOTc2B4Zd2To3BVz8ZYsDkNJXYHAgx6DO4Qr47X9sKVkz5dBYvdoQaevzOqGwKMDExEfhuamjRpopYYkOAkoenLL79Ux7OyshAYyG0AiOj0OFuPZFsRGQx+KKsQqdnFMBv0SIwMQudGESfMojvZY8lMuc6NI+t0yYHWcWEY0aMxsgoseGtkN7UpMBH5cWi6++67MXr0aDVbLjk5Geedd15Zt12nTp1qo4xE5CecoWbX0XzkFNlQZLHDbnRgZ3qeGqgk242Un0V3qsc6VbhyF03T1Mximan37PCOcGgajF6+0CYR1UFouvXWW9G7d28cOHAAgwcPhl5f+sYgq4HLmCYiojNZdkBambYfyUVBiV2NRdLr9DDogNSsIgQZDRVm0XkDKe+vm4/g9Wu7qqAmwUm6FYnI95zWFt89e/ZUJ/l25fyGJWOaiIjOhAz2llYmm12DQ5N14YAiq0OFJqPRjuZxIXUymNtV89Yewr1fr1Nl7ds8RnUJEpHvOq3245kzZ6quuKCgIHWS5QY+++wz95eOiPyKdL05HBoM0oKtSSuTTgUnk1GvVtIe1iXR41uhOMlimfccD0zX9GysxmMRkW+rcUvTa6+9pvaYu/3229G/f/+yzXpvvvlmHDt2DPfcc09tlJOI/IB0vWmanBsRaNIjr9gGvU5Taxx1TYpCtyTvWCDyq5UpeOi7jaqso/ok4ZnLO6puOSLybTUOTW+//Tbef/99jB07tuzYsGHD0KFDBzz11FMMTUR02qTrrUtSJP67/rCaNRcVYkZogAFRwWavaWWSPe0em7dJ/TyuXzKeGtZBDVEgIt9X49B0+PBhnHXWWSccl2NyHRHR6ZJQdO/g1urn9Qey1WKX0SFm9G0R4xWtTOl5xXju59Itoyae3QyPXdKOgYnIj9Q4NLVs2RJff/01HnnkkQrHv/rqK7Rq1cqdZSMiPxRsNuLBC9uqQeF1ucaSK+LCAvHx2J74d3cG7hvSmoGJyM/UODRNmTIF1157rVqXyTmm6Z9//sHvv/+uwhQR0ZmqyzWWXJFZYFEtXuKslrHqRET+p8Zf3WTblOXLlyM2Nhbz5s1TJ/l5xYoVuOKKK2qnlEREHvL27zsx5PXF2JmW5+miEFF9XKepR48e+Pzzz91fGiIiLyFr0L2xcCfe/H2nurxk5zG0ig/zdLGIyNtbmnJzc10+uZPdblfLGzRr1kytB9WiRQv85z//UW9mTvLzE088gYYNG6rbDBo0CDt3lr7JERGdDnlfeeW37WWB6aGL2qqB30Tk31xqaYqMjDzlgEfnyuASdNzlxRdfVMsbfPrpp2pJg1WrVmHChAmIiIjAnXfeqW7z0ksv4a233lK3kXAlIWvo0KHYsmULNxAmohqT72Qv/bYTH/+9T12WGXI3ntPc08UiovoSmhYtWgRP+Pfff3H55ZeXbdHStGlTzJ49W42fKms+f+MNPPbYY+p2ztXK4+Pj1Vir6667ziPlJqL6Sd5T5u7XY/Hh0sD01GXtMb4/W5iIqAah6dxzz4UnyNpPU6dOxY4dO9C6dWusX79erT4uq5KLvXv34siRI6pLzklaofr06YOlS5dWG5pKSkrUycnZrWi1WstOzsv+iPX33/r7c91FflEJ9ueVtqpPuawdRvVu7FfPhb////tz/f257jWpt04rP0DoJGSckIwd+vDDDxEeHl7hupycHNxyyy145pln0Ly5+5qxHQ6HWg9KuuAMBoPq+nv22Wfx8MMPl7VEybIHqampakyT0zXXXKO6CmXtqKrIyuWydEJls2bNQnBwsNvKT0T1T5EN2JGjQ5cYl94aicgHFBYWYtSoUSrPVM44pzV77uWXX0aTJk2qfDBp3ZHr5DYyBsldZN2nL774QoUZGdO0bt063H333UhMTMS4ceNO+3EldN17770VWpqk/EOGDFH1k8S5YMECDB48GCaTCf6G9fff+vtj3WWD4CW7juG81g3K6v9/1w3ym/r7+/9/ef5cf3+uu3B1IpvLoWnx4sUnXWZAWnckpbnT/fffj4ceeqism61Tp07Yv38/nn/+eRWaEhIS1PG0tLQKLU1yuWvXrtU+bkBAgDpVJi+U8i+Wypf9Devvv/X3l7rbHRoenLse3605hEcubosJ/ZL8qv7VYf39t/7+WneTi3V2eXHLlJQUxMXFVXu9LHB54MABuLu5TK+vWETpppNuOyGz5SQ4yWrk5dOiLL7Zr18/t5aFiHyLze7AvV+vU4HJoNehYUSQp4tERF7O5ZYm6YLbvXs3kpOTq7x+165dJ+0HPB2XXXaZGsOUlJSkuufWrl2rBoHfcMMN6noZtyTddTKWSva9cy45IN13w4cPd2tZiMh3WO0O3P3VOvx3w2EY9Tq8PbIbLurU0G8HwRKRm0PTgAED8Pbbb+OCCy6o8npZK+mcc86BO8nvkxB06623Ij09XYWhm266SQ1Id3rggQdQUFCAyZMnIzs7G2effTbmz5/PNZqIqEoWmwN3zl6L+ZuPwGTQ4d1R3TGkQ2lXPxGRW0KTDJ6WLq+rrrpKBZU2bdqo49u2bVOz23799Vc1m82dwsLC1DpMcqqOtDY9/fTT6kREdKpB37fNWoMFW9JgNujxwfXdcUHbeE8Xi4h8LTR169YN33zzjeoamzt3boXrYmJi1Ey37t2710YZiYjcQq/XoU+zaCzZcRRTx/bEua0beLpIROSrG/ZeeumlavaadH/JGCZZ4kkWnZSp+lzfiIjqA9kSRcYvNYrkwG8iqsXQJGRT3CuuuKKmdyMi8ohCiw0vzd+Oewa3RkRQ6bRiBiYiqpPQRERUXxSU2DBhxkqs2JuJ3UfzMfOG3qfcfJyIqDoMTUR0WlP2NxzMQW6RFeFBJnRuHAGTweVl3+pEXrEVE6avxKr9WQgLMOLuQa0ZmIjojDA0EVGNA9PsFSlYvicTdk2DxJBGUUFqgHV0SIBXBKjcYivGTVuBtSnZCA80YubEPujaJNKjZSKi+o+hiYhqRFqYJDAlRAQiyGTA6v2ZWJeSjU0HcxATGoA+zaMxsneSx4JTTqEV109brsopY5i+uLEPOjaK8EhZiMgPQ5OrG9kJd68KTkTeRbrkpIUpNMCIwzlFOJpXAk0r3dpIer+W7s5Ah8QI9EiO8kj57vl6nQpMUcESmPqifSLfk4ioDkNTZGSky2MB7Hb7mZaJiLy4a+5wTjEy8kqwW6+DQ9OQUWBRxw9kFaqfjQYdMgtKPFbGRy5uh9TsIrxxXVe0TWBgIqI6Dk2LFi0q+3nfvn146KGHMH78+LJNcZcuXYpPP/0Uzz//vBuLRkTeOJZp2e4M5FtsOLgvC5pOQ2GJDdGhZjWNv9BiR0a+BUfzLHW+0rcsXClaxoXi5zvPKbtMRFSnoencc88t+1m2K5FNc0eOHFl2bNiwYejUqROmTp2KcePGua1wROR9Y5kaRgahRVwo9h0rwNbDuUAIEGI2qlYmvU6HyBATGoSZ62ymXXpusVpW4KGL2uKcVqUrfDMwEZFXDASXVqUPPvjghOM9e/bEjTfe6K5yEZEXj2USzRuEqvFMkcFmNIwIVIFJuuvsDk3Noqtqpp1Bp3PrQPEjOcUY9dEy7DlWgCe/34zf7hkAo5ctfUBEvqPG7y5NmjTBRx99dMLxjz/+WF1HRL5JWokk9OSX2NRlOY8OMaNrUiQcGlBid6jzvi1iVGtS5Zl2beLD1LlcluNn6lB2Ea6dulQFJukanDGhNwMTEXlXS9Prr7+OESNG4JdffkGfPn3UsRUrVmDnzp349ttva6OMROQFJAhJK1H5ViMJSFf1aIyth/Oq7H6r3Dol53JZjpdX0y68A5mFGPnRMhzMKkKT6CDMntQXjaO4/yUReVlouvjii7Fjxw68//772LZtmzp22WWX4eabb2ZLE5EPkxAj3WqynEDlcFPd8gLlW6ckMMm5XJbjTjXtwtufUYBRHy1XLU1NY4Ixa1JfJHIvOSLy1sUtJRw999xz7i8NEXm1kwUkV1unejaNgt3hwKJt6So8yc/OLjxnsJLL1a31NOPffSowNY8NUYFJ7kdE5LWh6a+//sKHH36IPXv2YM6cOWjUqBE+++wzNGvWDGeffbb7S0lEXqvQYsO8talIzytGXFgghndLRLDZeELrlKzddCSnBFsP52DBljQVkOT6qBCTam06VRee06MXt4PZoMfEc5qp30dEVFdqPGpSxi0NHToUQUFBWLNmDUpKShexy8nJYesTkR8GpvvnrMfbv+/E7OUp6lwuy3EnCUbS4iSLYv6y8TD+2JaOw9lFsNgdiAsPwJ70AtW6VH6AeeUuPGlZkll5QgZ7P3xxOwYmIvL+0PTMM8+oJQdkBp3J9L83tf79+6sQRUT+Q1qY1uzPRkyoGU1jQ9S5XJbj5Tln0YUGGlVLkixTcCirCAUy1inIqLraZPmA7Wl56ly69Jwz8GQtqGFv/41HvtuoFrEkIqo33XPbt2/HgAEDTjgeERGB7Oxsd5WLiOoB6ZKTtZlCjnetybms3STHy3POoosMNpVtyST3yy60qpaoy7okqhakygPMN6fmYMzHy5FVaMWWw7kotNrLuvGIiOpajd99EhISsGvXLjRt2rTC8b///hvNmzd3Z9mIyMtJF5ksaiktRhKY5FwuV+46c86iCzEb1ZpKMgOuyOpQXXEXdkxA9+SoE2bKbTyYgzGfLEdOkRVdmkRi5g29GZiIyKNq/A40adIk3HXXXZg2bZr6xpiamqpWCf+///s/PP7447VTSiLySjLo+59dR1WXnLQwSWDqnhypjlc3i85s0qNhRBCax4VgWJdEdEs6MTCtTcnC2GkrkFdsQ/ekSMy4oTfCA/83HICIqF6EJtms1+FwYODAgSgsLFRddQEBASo03XHHHbVTSiLySjJL7uWru1Q7e86VNZ4qW70/E+OmrVStUL2bRmPahF5sYSIir1DjdyJpXXr00Udx//33q266/Px8tG/fHqGhobVTQiLyahKQRvVJctsaT1kFVhRb7ejbPBrTxvc6IYAREdWb2XM33HAD8vLyYDabVVjq3bu3CkwFBQXqOiKiMzGofTw+m9gH08f3ZmAiovodmj799FMUFRWdcFyOzZw5013lIiI/8u+uY2o/Oad+LWIQZDZ4tExERJW5/DUuNzcXmqapk7Q0BQb+b3aM3W7Hzz//jLi4OFcfjohIWbQ9HTd9thoNQgPw7S1ncVsUIqr/oSkyMlKNZ5JT69atT7hejk+ZMsXd5SMiH7ZwSxpu/WKNWh28fWI4okPMni4SEdGZh6ZFixapVqYLLrhAbaUSHR1ddp2Mb0pOTkZiYsVpxkRE1Zm/6QjumL0GVruGizom4K2R3aqcTUdEVO9C07nnnqvO9+7di6SkpLJVfYmIaurnjYdx5+y1sDk0XNq5IV6/tisDExF5vRq/S/3xxx/45ptvTjg+Z84cNUiciOhkft+ahjuOB6bhXRPxBgMTEdUTNX6nev755xEbG3vCcRkE/txzz7mrXETko7o2iUTLBqG4qkdjvHpNV7XnHBFRfVDjRVBSUlLQrFmzE47LmCa5jojqB6vdobYrWXcgB9LZLit0d0qs/UVqY0ID8PVN/RAWaIRez25+IvLh0CQtShs2bDhhw97169cjJibGnWUjoloMTJ8v24+vV6XgYFYRHA4gPNCICWclIb4Wft/sFSnQNJStHB4RzH3kiMgPQtPIkSNx5513IiwsTO07JxYvXqw28b3uuutqo4xEdAbhaMPBnBP2e5Nj8zcdxv5jhWr2mgYgLa8EUxfvxuNdS+9nclOu+WzpPjz+/Wb1c5uEMJe2UiEi8onQ9J///Af79u1TG/YajaV3lw18x44dyzFNRF5Ego+08Czfkwm7psGg06FP82i1ca6EqNTsYhTbHDDq5W8YcGhAnsWu7vvN6oMY2bfZGQ/Qnv7PXkz5cYv6edI5zdA9KdItdSMiqhehSdZk+uqrr1R4ki65oKAgdOrUSY1pIiLvIa1JEphkhe3QAKMKSvM3HkGhxYbMfAsy8ktUUDqekyqYvXw/HDCgfWIYCkrsFVqpXPXRkj149uet6udbzmuBB4a24VIlRFSvnfZumLIqeFUrgxORd5CQJC1MwWYDDmUVYntavjo/kFWIAosNJTZHtffdk1GI1xdsQ6PoYDSODFZhydlK5UpwenfRLrz863b1850XtMQ9g1szMBGRf4Sme++9V7UshYSEqJ9P5rXXXnNX2YjoDEjrkMSbVfszkZJRiGP5FtWVbrE5EBliQkGJDXabjGaqWn6JHVn5VnRMNCEs0KRarTokRpxyTNKyPRllgemeQa1x16BWbq8bEZHXhqa1a9fCarWW/VwdfpMk8h7SnZYYFYQ1KVnIL7HBZneoKf6FVjvMJXq1zICMZzpJgxPkRiVWBxpGGFWrlbRenUqfZtG47fwWCDYbcdv5Ld1aJyIirw9Nsu9cVT8TkfdSXWrNovHv7mOw2UtblEx6HfJKbCo4yaKSdq2KAU3Hqe9AGhBg0qvQJQPJpfWqKrIvpWy6G2A0qC9P9w9tW2v1IiLyFC7FS+TDokMCEGIyIjjAgNiQAEijkl6ng92hISLIhMSIIEQEnvjdyaADooPNiAo1IbvQiiM5xWpMk7ReVRWYnv9lGyZMX4lia/UhjIjIL1qarrzySpcf8LvvvjuT8hCRG0nI6ZIUif+uPwyTQVNjk2Q2nbQ4Xdq5EbonR6puu1X7s/DPzmOwWm0AstRst+5NY1Vr1clmz0lgevqnLZj+zz51ecmOoxjSIcFDtSUi8oLQFBERUeFNcu7cuepYz5491bHVq1cjOzu7RuGKiGqfhJx7B5fOcl1/IFt1sUWHmNG3RUyFmXBntWyAOwe2VmMXf/75Z9x8bkuYTrG6pcOh4ckfNuOzZfvV5eeu6MTAREQ+zaXQNH369LKfH3zwQVxzzTX44IMPYDAY1DG73Y5bb70V4eHhtVdSIjotMiD7wQvbVrky+OmSwPTovI2YveKAGvv04pWdcU2vJm4tNxFRvV+nadq0afj777/LApOQn2UpgrPOOgsvv/yyu8tIRGdIApK7ti+R8VAPfbsBc1YfhOy3+8rVXXBl98ZueWwiIm9W46+aNpsN27ZtO+G4HJM1YIjItx3KKsKvm4/AoNfh9Wu7MjARkd+ocUvThAkTMHHiROzevRu9e/dWx5YvX44XXnhBXUdEvi0pJhif39gHB7OKcHGnhp4uDhGR94amV155BQkJCXj11Vdx+PBhdaxhw4a4//77cd9999VGGYnICzb/3XesAK3iw9Tlzo0j1YmIyJ/UODTp9Xo88MAD6pSbm6uOcQA4ke+SbVfumL0G/+zKUC1MXZswLBGRfzqt6TMyrmnhwoWYPXt22dYpqampyM/Pd3f5iMiDSmx23PrFavy6OU2t+J1VaPF0kYiI6k9o2r9/Pzp16oTLL78ct912G44ePaqOv/jii/i///s/txfw0KFDGDNmDGJiYhAUFKR+96pVqyqsG/XEE0+oLkK5ftCgQdi5c6fby0Hkb2R175s+W42FW9MRYNTj47E9cX6bOE8Xi4io/oSmu+66Sy1qmZWVpUKK0xVXXIHff//drYWT39G/f3+1yN4vv/yCLVu2qLFUUVH/mzr90ksv4a233lLrRsmA9JCQEAwdOhTFxcVuLQuRL4xLWr0/C4u2patzuVydIosdk2auwp/bjyLIZMD08b0woHWDOi0vEVG9H9P0119/4d9//4XZbK5wvGnTpqpVyJ2k9apJkyYVFtds1qxZhVamN954A4899phq+RIzZ85EfHw85s2bh+uuu86t5SHyNhJ8ZNHK9LxirNmfhcx8i9qMt2OjcPRqGo1uSVFqjSa53ewVKVi+JxN2TVMrg8tecuVXBXcqsQM3fbEWS/dkIthcGpj6NI/xWB2JiOptaJK1mGQF8MoOHjyIsLDSmTXu8sMPP6hWo6uvvhqLFy9Go0aN1MrjkyZNUtfv3bsXR44cUV1yTrK9S58+fbB06VKGJvLpoJRZUILlezORklGotkjJKLCohSfFH9vS0Cw2BGe1iEW/FjE4mmfBst0ZaBgZhNAAI/JLbCpAdUiMOGHRS1mw0mTQqdvNmNALPZtGe6imRET1PDQNGTJEte5MnTpVXZaB4DIA/Mknn8TFF1/s1sLt2bMH77//vlpt/JFHHsHKlStx5513qlaucePGqcAkpGWpPLnsvK4qJSUl6uTknAUo+245T87L/oj19976S2D6ZvVBrNibiQNZhUjLKUagSY9iixVmvQOaDjDqAel4S8suwC8bSrD9SDY0u4Z8ix0tGwRBp9kRZtYhTbMjJ78IVmvo/x7faoVJD7xxVQccyrWibUKYVz4P/vh/XxdYf/+tvz/XvSb11mnSx1UDBw4cwIUXXqi6xmTAtYxvkvPY2FgsWbIEcXHuGygq4UgeX7oDnSQ0SXiSliQ5LmOeZOaeDAR3kr3xJMx99dVXVT7uU089hSlTppxwfNasWQgODnZb+Ynqi0IbsOqoDuckaGovOSIif1JYWIhRo0YhJyfnpMso1bilScYYrV+/XgUSOZdWJlkhfPTo0RUGhruDBKH27dtXONauXTt8++236mdZZFOkpaVVCE1yuWvXrtU+7sMPP6xar8q3NEm9pBVNnixJnAsWLMDgwYNPudO7L2L9vav+RRYbHpu3CesP5KDIYkWexQ5opS1KVof6sUoyUik6xIywQCNKbA61Wa+MX4oLD0RydDB6NYvGVT0ao6DEjhtmrsbGQ7lomNwUrSy7vKbu/v5/X9dYf/+tvz/XvXyP06kYa/qktm3bFj/99JMKSXKqTdKKtH379grHduzYgeTk5LJB4RKcZNaeMyRJxWUW3S233FLt4wYEBKhTZfJCKf9iqXzZ37D+3lH/OWsOY+X+XBWAShxAcaFDBSWj/KMBdq364JRVaEVWkR1Ggw5mgwHN48JgtWvo1yoeV/dsjPxiG8bNWI0th0sff0iHhti7dpfX1N1TWH/W31/r7691N7lYZ31NH7Qup/Lfc889WLZsGZ577jns2rVLdZ/JWCpZH0pIF9zdd9+NZ555Rg0a37hxI8aOHYvExEQMHz68zspJVJtkZpzNbkdGvgXZhf/rd7c5oMKQtDg5e9Tk3FChe02v/k70utLzxMggxIQFoGFEoGp5GvnRMhWYYkPNmD2pL9o1dO9kDiIiv16nSQKLLAUgq4LXtl69emHu3Llq5fGOHTviP//5jxqEXr6FS7ZzueOOOzB58mR1e+kunD9/PgIDA2u9fER1ITLIjNxiO9LzS2B1VFxbyebQjoei0stBJr1aJkBmv8mh0CAjIoJMiAsLUN10ucU2tdyAQ9NUYNp2JA8NwgLw5eS+aJPAwEREdDI1HtMkg7ClO+y3335Tq3PLYpLlfffdd3CnSy+9VJ2qIx8YTz/9tDoR+QqZJSfrLq1NycaCbUdg0xxQqwmU64eTUCTTOGTGnJPd4YBOZ4Dj+NIDsmxAiNmIY/kl6v6y1MCg9nF44Zdt2Jmej4TwQMya1AfNG/xvBh0REbkpNEVGRmLEiBE1vRsRubD2knSZSUvRxkM5mLvmEA7nFCGv2KbCknS7qaB0PCyZjTqEB5nUTFa5n8MOyBhxi8OuWpNCzXrkF1lVUJLFv5s3CMbt57dAr2YxCA80442FO/DFjX2QHFPxiw8REbkpNJVfnZuIzjwsrU3Jwry1h7DhYDYsNgdK7A412y3AoEdksFn9LNuaVN70RFqOZOZbVIgJiYFmmHQa0gssiA0NRNv4UBTb7AgyGaE/3h0nC18GmIxqBp3Mmru0c0MEmgweqjkRkQ+HJlkJ/OWXX1YDri0WCwYOHKgWtHT3MgNE/sK5tckvGw+rlqVii720Fel4S1JYgAGNooLVeCVnYHK2NJX+XPpTXpENOp0doYFGBBgMiAoyqbAlY6Cc3W5ZhRZ8vy4VjaJK/147N45gYCIiqq3Q9Oyzz6pFIWXLEglKb775JtLT0zFt2rSa/k4iv+bsipNNc//clq5akkqsdtgqrRuQV2KHxWqD2WiATjaEkxmsx6fGSWDSoFOtRzIYPNCoR3igAXnFMs4PWHcwG2HHt0ux2Oz4atVB1Yolq4mnZhdXu+8cERG5ITTJRrjvvfcebrrpJnV54cKFuOSSS/Dxxx9Dr+cbL5Erym+ceySnCAezilTokUUqK5MMdSC7WI1dMhv1KjBFBpnUGCeH5lBdbSFmAzILLCooyf5yQgZ9S7ddULQBO9PysHRPhlqbSWbWXd61EQx6XbX7zhERkRtCU0pKSoW95aTFSWauyRYmjRs3dvVhiPxWocWGtxbuxO/b0tUSAMmxwUjNKVaDtasjY5ESI4JVd5uEJdmkV8Yy6XR6NAgNQHJMMExGvQpHOYVWxIcHqr9LTbPAYndgW0re8cBkwMjeTRAWWLqAm/344HEiIqqF0CTrMlVe+0gWu/TXzf2IahqY7p+zHv/uzkCBxaZmxSXkBiI62IRjef/bPLoy6YxrEBaoZsld1qURiqUbz6Gp8U7xEYGIDglQC1I+99+tWLg1TXXHSWiKCQ1QXYASnJKig9E6PlQdF3IbmV0nj0lERLUQmmRa8/jx4ytsPyKrg998880V1mpy9zpNRL5g3tpUrNmfrbrXZJS3BB/pmkuMDIRRXzo2yVFNaJLrpKuucVQQzm9b9YbYl3VJxJ6jBWoweESQEX9uP6YCU7PYELVw5a+bj6guOWlhksAkY5pkMDgREdVCaBo3btwJx8aMGVODX0Xk31uhSFdbdKgZ2UVWtRyAdJtJ91ygSa8Gg1cVmGS8oIxBOlXLUPfkKFzYKUEFIxlA3qlRBI7kFuPTG3qplioZ9C1jmKRLTh5HAhMHgRMR1VJo4vpMRKcvLixQrZeUVVA6WDvQqIPDrqljVpus4l1xtW+hNuU16GBzONCzadRJW4YkAMm6S9UFIznnoG8iojPDr5pEdWB4t0R0T45EVoFVjWmy2jQYZLNdHWBVI7tP/MOUlcFbNAiFwYXZqbJ8wQWvLsaRnGLVhScBiS1JRETuxXdVojoQbDbi5au74NpeTZAcHYL4iCAVavT60iUqpYtOFrEMCTAgItCIqGAT4kLNahPddg3DsWpflhrYXZWV+zIx9pPlyC604ovl+9X4QyIicj+GJqI6DE73DW2D6/slq1Yk6XaTdZtkILhJr1eNTTHBZgQFGNW6TAaDHiVWh9p0t7olApbtycC4aStQYLGjX/MYfDyuZ9ksOSIi8vDec0R0+qR1SQZlS6z5+K89yC+xq2UEZLVuNeBbD5igg82uwaH2itNXu0TAP7uOYeKnK1FsdeCcVrGYen1PBJm5NQoRUW1haCKq4/WaZPmBQ1lFKgTZ7A7YNR100CPMoEeR1aEWspQmYJ1ep7rcZHXvyksELN5xFJNnrlKz7s5t3QAfXt+De8kREdUyhiaiOl7gctW+TGQUWCCrDMhWcqEBBjSJDsLEAc1RWOJAgzAzwgNNakadBKaqlghYsuOoCkwD28bhvTHdEWBkYCIiqm0MTUR1RFqYZJZbocUOu6N0wpxMnJNh28fyLSowjeqT5NJjPXpxOzWz7qoejdX4JyIiqn0MTUS1QAZ4r03JwroDOSocdUgMw5r9svCkVQ3uVmsw6aFamyw2DUa9Qy2AeTIyS65L40gVkmTWnasBi4iI3IOhiagWAtPny/bjm9UH1b5ysp2Jc+XKgpL/rfztXATc4ZAQZVALYFbnpw2puOvLdRjULg7vjOrONZiIiDyAoYnIzWQ9pQVb0lBQbFXhRhazlC650u1QAHvllb91UJvuygKYVfl+3SHc89U61ZUXEmBUq4gTEVHdY2gicjNZT6nEalcrfRdZ7DAd3ztO2ob0Bj2CjToUW5xLDOjQoVE43h/TQ63jVNm3qw/i/m/Wq8B0Tc/GeP7Kzuo+RERU9xiaiNxMZrsFmAxqrSVZlFICkzQuOVf/jgo2QwsCGkYEwmjQ4+5BrRARZD7hcb5eeQAPfrcBssC3jF965vKO6jGIiMgzODCCyM1keYDB7eMRHGBQC08WWe1qkcpAo161OhUU2xEaaERMaAAu7JiAbkknbqT75YoUPPBtaWAa2y8Zzw5nYCIi8jS2NBG5mYxjGtM3GW3iQzHj3/04kFWIsACj6lZrFhuCdg0jkBARgOiQgBPWX3JqGhui9qMb1TsZj1/ajlujEBF5AYYmotOcIScDvmX8UlWLT8rPZ7VsgF7NYk56u+r0bR6DX+4agKYxwQxMRERegqGJ6DQC0+wVKVi6OwOZhRY47Bq6JEXi3sGtTxjMLQGpR/KJ3W9V+fTffWq7lLYJ4eqytEoREZH3YGgiqqGlu49h+j97kVtkg83hQIBBh13p+UjLLcaLIzpXOQvuVN5dtAsv/7odMSFm/HbPADXeiYiIvAtDE1ENuuMO5xRiyg9bcDTfUuF6kx74c/tRvPrrdjx0cbsaLT755sKdeH3hDvXz+LOaMjAREXkphiYiF7vjlu3OwJqUrBMCk7qNA9Db7Fi4NQ1DOyagd7OYUz6upml4bcEOvP3HLnX5wQvb4pbzWtRKHYiI6MxxyQGiU5A95H7ZeBh7juXjaF5Jtbcz6vXIK7Gp/eZcCUwvzt9eFpgeu6QdAxMRkZdjSxPRKVqZflifiu1pecgvsp6wBUp5sqSAdMu5Mtft8+Up+GDxbvXzk5e1x4T+zdxXaCIiqhUMTUQnsWJvBv7eeQy5hVbYThKYhCw+GXt87aVTuaJbI8xbewjDuzXC9X2T3VdgIiKqNQxNRNVYvucYnvppO/ZnFKrtT07GrNehUWQgrurRGN2rWWJAuuScay6FBhjx1eS+ahsVIiKqHxiaiCopstjU+ZQft2JvRtFJA5NEoKhgIwZ3aIgruzVSgamqmXMOh4ZH521E46hg3HZ+S3WMgYmIqH5haCKqNIbpnUW70AFAdmEJHCdJTLI+U5cmkWrDXVn5u7plBuwODQ9+uwHfrD4I2T5uSPt4tIoPq71KEBFRrWBoIipH1mLadCgHHRJkYLceGhxVti6ZjTqc26oB3hjZ7aSLWdrsDtz/zQbMXXtIDRR//dquDExERPUUQxNRObJHnP74uCP78dW+S8pNmTPqgYYRgWgUGYwbBzQ/ZWC65+v1+HF9Kox6Hd4a2Q0Xd2pYJ/UgIiL3Y2giKkc21Y0MMqmfS2yamhFn1DSYDdLqBDUmqVVcKPq2iEG3pKiTdvPdOXstftl0BCaDDu+M6o6h0nxFRET1FkMTUbltUtLzipFdbAXCS8ciyTIDCeGBqitub0YhzmsbpzbglWUFTrZVypIdR1VgkrD1/pjuGNguvk7rQ0RE7sfQRH7PuU3K8j2ZOJZfgt1peUAcoNdpsNuAtNwS/LX7GAa3i8eYvkkubcgrIemJS9ujeYMQnNcmrk7qQUREtYtznsnvSQuTBKaEiEA19qjYWrrkgMUBNQzc6tBwMLMI/+4+hq9WHlAhqyrFVjtyCq1ll284uxkDExGRD2FoIr8mAWj1/iwcySlCXrEVecU2tfluZXIoI68YC7akqZBVWZHFjhs/XYXrpy1HTtH/ghMREfkOds+R3yq02PDagh34Z+cxpOUVIyO/BDpZSKkaOcV2FFtsaoZdeQUlNkz8dCWW7clEsNmAvccK0LVJZB3UgIiI6hJDE/ltYJIFJ//ecUytuSTLDOSW2KBpMpap6vvYHJrqqpMZdk75JTZMmL4CK/dlqa1RPr2hFwMTEZGPYmgiv+qKW7M/C2sPZOGPbenYmpqrjul0RgSZDGrVyhCzEQGGAFkP/IT7y+KUnRpFlG3Im1tsxbhpK7A2JRthgUbMvKH3SZchICKi+o2hiXx6CQHpSpOWoXYNw9Qg7jkrD+BAViEKSuxq3SWTHpC1LIusdpiNekQEmXD7ecnI3rFKLWRpc8j1OoQGGNA6PhTDuzVSSw3IgO+x05Zj/cEcdZ/PJvZG58ZsYSIi8mUMTeTTSwjIz9KFJl1nBzMLcCS3BCU2R9nmKDJDTgZuSxCSrrkuSZHo1SwWC3YAg9snYPPhApgNOjSJDsZZLWPLWpKyiyw4nFOMqGAJTH3QsVFp6xMREfkuhibyudYlmQ3357Z0tIoPxf7MQqRmFeJYgQUWm0MtWClDluTk3BxFWpNkncr+LWNw7+DWMOlKr3nuik7YmlZY1lpVfkHL5JgQzJrUV/3Odg3DPVhrIiKqKwxN5HOtS7J8wKHsIhTZ7MgttKgB3HbnSSsNTOUZdFBbp4zsU7pwpdVaOjtOApKs/u0kC1/uSMvDWS1i1eWWcaF1WkciIvIsrtNEPrdAZYu4UDWwOzWrCDnFNuQX29R4pfCg0u8I2vGThCcZtyRdbMkxwbDIninVkO1VRk5dhvHTV+KfXcfqsGZEROQtGJrIJ0gXml3T1Nil+PBAJMeGwOpwqEUnLQ4NUUFmNIkKQkSgoUJLk/wByCDv6JCACksJlJeWW4zrpi7DzvR8RAebkRgZVGf1IiIi78HuOfIJEngkDO0+mq/WXAow6hAeaILV5EBWgRU2uw1FVj0aRwUhJbNIbZfi0IBAkx7FNg2No4PKlhIoLzW7CKM+WoZ9GYVoFBmEWZP6qPFMRETkf+pVS9MLL7ygpn/ffffdZceKi4tx2223ISYmBqGhoRgxYgTS0tI8Wk6qe7KkgCxKuXpfFpbuOoo/tx3F4ewitVq3tEBlF9sRFmhAXrFddcxFBpsQFmRCXHggkqKD0adZdNkgbycZF3Xt1KUqMEnY+nJyXwYmIiI/Vm9C08qVK/Hhhx+ic+fOFY7fc889+PHHHzFnzhwsXrwYqampuPLKKz1WTvLM3nGfL0vBsXwLmsYGI8hsgNVeunp3kdWhxi3JzLliqwPhgUbEhJgQEWRGsMmA9NwSFFrtaq2l8nIswOhPVuJAZpEa7/T1Tf3UsgNEROS/6kX3XH5+PkaPHo2PPvoIzzzzTNnxnJwcfPLJJ5g1axYuuOACdWz69Olo164dli1bhr59+3qw1FSXM+YO5xSpMUeyWGVOka10HSatNCzpjDpoDg1HcovVeKcmMcHYdjgPhRa7mlkXYNRjc2quWoPJ2doUZgK6NYlEgDFPLS0gA8yJiMi/1YvQJN1vl1xyCQYNGlQhNK1evVpND5fjTm3btkVSUhKWLl1abWgqKSlRJ6fc3Fx1Lo/lPDkv+6P6Uv91B7Kxas8xJIYHqLLu0eyqNUlalsq/sDVNg15fWp+j2Q6YdRpCzTpEBprUEgQdEsOwdl8GOjYMVfvGye2kq++5y9ug0KZDTLDB658Lf/u/ry2sP+tf/tyf+HPda1Jvrw9NX375JdasWaO65yo7cuQIzGYzIiMrbl8RHx+vrqvO888/jylTppxw/LfffkNw8P+6YBYsWAB/Vh/qP1CWSnIAHaOAS1za9s0msbnSsXz175rlh/Duj3pcnuxQoWnR77/DX9WH//vaxPqz/v7KX+teWFhY/0PTgQMHcNddd6n/xMBA93WPPPzww7j33nsrtDQ1adIEQ4YMQXh4uEqc8jsHDx4Mk6nqaei+rD7UX7rm5q1NxffrDuBwbgmO5ZWoVqOTCTUZEBcegKP5FjWGqUNiuFrPKa/YhrS8Euw8WojcYhs6t2mBFiU7vbr+/vx/X5tYf9bfX+vvz3Uv3+NUr0OTdL+lp6eje/fuZcfsdjuWLFmCd955B7/++issFguys7MrtDbJ7LmEhIRqHzcgIECdKpMXSvkXS+XL/sZb6y+B6ZtVh/DPrgzsPFqMzEJpVq28zveJLHYHih0l0Ov0aBYXjt0ZxcjIt8BqtyO7sHSWXfuG4RjTLxlL/9zptfWvC/5cd8H6s/7+Wn9/rbvJxTp7dWgaOHAgNm7cWOHYhAkT1LilBx98ULUOSUV///13tdSA2L59O1JSUtCvXz8PlZrqYvVvWZX7YGahWrzSVdIQJat+B5k0JEcHo7DEjrAAI9akZKnAJK1PD17UFlHB5lotPxER1U9eHZrCwsLQsWPHCsdCQkLUmkzO4xMnTlRdbdHR0apr7Y477lCBiTPnfFdmQQm2Hc7F4ZxiWE7VJ1eJBg2BZgMCTQY4oGHNgWz1GAnhgejQKBwOWfGSiIiovoUmV7z++uvQ6/WqpUlmxA0dOhTvvfeep4tFtehITgmO5km3mqY65VyJOXI7s0GH6BATNE2HYqsda/ZLYHKgYUQgBrWLR2aBpdqtVIiIiOpdaPrzzz8rXJYB4u+++646kW+TsUxr9mfh961H1L5yNWkTMhl0CA00IiTABJNRj57NolFkc+C3zUfUgHAJTH2aR5dupeJwvcuPiIj8R70LTeTfC1nO33gE29JyXVrK3qCTsKSHrFeZFB2CFnGhcGgaNA2ICwvElGEdcGW3Rmr2nLQwSWCS21sZmoiIqAoMTVRvBn/Lyt/BAQa1TIAkH0uhrdrWpkCjbNprQLCMXzIb1OBuWRF8a2ouJg9oXhaQejaNruOaEBFRfcXQRPWmWy41pwj5RVZkFFjgcKiNUmA8vtKAUa9TW6Lo9ToYdDq1jYqcokLNuLJbY9gdGl75bbsaB5WaU3zC5rxERESnwtBEXq3QYsNrC3bgn53HcDCrUO0XpzseiFQrkw5oFhuCtgnhSMstxrltGqh1mI7kFKkB3t2To5BdaMXts9aqwDS4fTyevryDp6tFRET1EEMTeXULkwSm/64/DLNJB1kNQFYY0B8f2C2hSQKUjE+KCw9U1/dtHoseyf/bT0UGet82a40KTBd2SMBbI7vBLJvTERER1RBDE3n1OKb1B7JhNuqQEB4Eq01DkdUOs0GP2FCzGtQtW6LsyyhUg7sHd4gvnf123C8bD+OO2WtVt90lnRvijWu7sluOiIhOGz9ByGvlFlnV+CSz0QCLzYGIYJO6LC1MEphkrSUJQSEBhhN2UZExTO8v3q0C0+VdE/EmAxMREZ0htjSR15JlAKJDzNDpgWN5FpRY7WomXKicAowosWno3DgEvZrGqLFOq/ZloXPjSNU9Z9DrMGNCb8z4dx/uGthKXSYiIjoTDE3kdeOYpFtOWpmkBalXs2is3JsJzSHjmUoHcl/QLg4r92Vh2e4M9GoaDb1Op0KUXL/9SG7ZmCYJXPcObu3pKhERkY9gaCKvCkyfL9uvxiLJvnLSshQdGoBujSPQuUkEujWJUrPhpJst0GTEzrR81cIkgSm/xIZDWUV4bN4mNTx8VJ8kT1eHiIh8DEMTeU1g+nJFCj5eshvpuSWwHl+1Mj3fgp3peWgcGQSjXq9Ck2jXMAwNIwPVQHEZ55RXYsPm1Fx13Y60PE9WhYiIfBRHxpLXbJEirUypOf8LTE52B1TL0xfL9qtFLuX236w+qFqWZDHL1OyissA08exmePKy9p6pCBER+TS2NJHHyRimpbszkF1krXZbFJkzl1VoVbc1GvRqS5XEyCDVLZeSVaRuM7xrIh67pB10Og76JiIi92NoIo+TQd+ZhRbYZOXKasgq33p96SrgcnsZ9L3tSC7+2ZWhrm/eIATDuiQyMBERUa1haCKvWFrAYdfUKt+y5FKJveL1slpAoEmPhIhAdG0SAYNer8YxFR6/YbekSDQMD0REsNkzFSAiIr/A0ER1uoyABCRZtdu50KRcZ7M71PIAu4/lI9hsAixWyH680vAUaDKgUVQgYkMDMKRDArollQ4E79M8Wi05YDREqW1U5HL51cCJiIjcjaGJ6mSQt4xBki41aSHq2TQKbeJDsfZADv7clq422pWtUmR7FJNZr2bFBZsNaqHKQe3iUWJzqLDVqVE4vl19EMO6JmJk7yR0SIyoMogRERHVBoYmqlXSwiSBKS48AAUlNmQVWPDpv/vU2KT03GIUWx3qdrKHbojZgMDgADU2qVezmApBSNM0vPDLNny4ZA9+WJ+Kzyb2qbAxryutWkRERGeCoYlqVWZBCY7mFSMlswCZBRa1X1xOoQ2G49vFSXhSO5zodLA5gNxiqxqzVD4QSWD6z09bMe2fverykPbxVW6LUlWrlnTbSasUgxMREZ0phiaqNRJilu/NxO6jBSi02NQxm8MBmwbYbaVhSaKMij8a4IAGTSsNUuUD01M/bManS/ery88M74gxfZNP2qolA8adq4TLZenGq6pVioiIqCb49ZtqjYSY1KwiNAgzqzAkY5NkoUpno4/jeECSc4emqesiQ0xqhpy63qHh0XmbVGCSlQReuLJTtYEJ5ZYikMAknPvRyXEiIqIzxdBEtds1V1ACk14Hu8NxPByVrvAtYcl5EnKbhuEBGN0nuWyG3HM/b8Ws5SkqML18VRdc1/vk+8nJGCbpkpMWJiHnclmOExERnSl2z1Gtdc39s/MYNh/MhUWWFSgd730CWX8pOToYl3RKVOOPnBvyiuHdGuG7tYfwxKXt1c+nIoO+5TEqj2niUgREROQODE3kVs7Za7ItyvfrDqHIaq92axRhtzvUvnKbU3NUwCmvY6MILL7/PIQFutZSJGGLSxEQEVFtYWgit3HOXpPAtHJPBrKKSrvJTkYWsCwsseHvXcdwKLsQRoMBD1/UFn2ax6jrTxWYqlpigIO+iYioNjA0kds4Z6/JSCXZfNcVapyT3MNqx860fJTYNdw4cxWWPjywbEB3dbjEABER1SV+spDbSGtPsc2OFXsy1bICrjIcD08SmMRFHRNOGZgqLzHQJj5MnctlOU5ERORuDE3kNgFGPdbsy0RGodXl28saTaql6fh6TVHBJrSKC3Pp/lxigIiI6hJDE7mFdJX9vjUNOS6MYwoPNKBNfAi6NA6HXq8rGygeHWJCYkSQy7PduMQAERHVJY5pojMOS2v2Z6mZcj9vPKJajU5G9pi7rHMjNGsQgi9XpMAu/XIAGoSa0TIuFEM6JKhlB1zZR45LDBARUV1iaKLTJqHm82X78d3qg9idnodCFwYymY167D1WgGFdE9Hxik545dftajHL3s2iEB0SUBaMXBnkzSUGiIioLjE00WmTFqZvVh3E4ax8lwKTMOp1arB4ocWO89vG4ZtbzjqjfeQkIHGJASIiqgv8Sk6nTYJNRkEJsotP1SlXyqwHiq2li1mGBZ48r3OQNxEReRuGJjpt2vEVvV2JTCa9zJLTwWLXkF1oRVx4wElvz0HeRETkbRia6LR1bRIBi+3Us+UGtIhGdGgAbA5NtTB9dVNfJEWHnPQ+zkHeR3KKsT0tT51zkDcREXkSxzTRaZO94aynaGYKMgBp+Rak5ZYgNtSML27sizYJp16HiYO8iYjI2zA00WmR2W3z1qbCaj/57cxmE7an5aNBWABmT+qDli4uXCk4yJuIiLwJQxPVOCytTcnCd2sO4c9t6arLrTrSspRZYEF8eABmTeqLFg1C67SsRERE7sTQRDUKTJ/+uw+fL9+PlIxCtV9cddo3DMPMib2xdHcmOjWKQNPYk49hIiIi8nYMTeRyYJr57z68sXAHCkrsZVuflCejjYICDBjSPh7PXtEJwWYjLuuS6IHSEhERuR9DE1VLbWOSmoXMghL8s/MYvl19EPmWEwcxmQ061eok26BkFFiw/kCOWiJAQhMREZGv4KcaVRmWxP1z1mNXRhGKLXYczi6CpZqZcrJ/XJDJoBatzCmyIsRsgM3u2grhRERE9QVDE50QmL5aeQDRABZtT0eRTVdlV1x5eh1gdWjIt1jRvEEIZk/qi/jwwDoqMRERUd3gojd0wtYov20+rH6WxiLNhZW+TQYDSmwOtIoLxZeTGZiIiMg3MTRRBel5xdh6OM/lF49Op0eh1Y62CWGYPbkv4sIYmIiIyDexe44qdM39sPYQimwubsBrLO26axYbotZhig4x13oZiYiIPIUtTVRmxd4MLNqe5tJt1Tgmu4bQAAPuGtiSgYmIiHweQxOV+XF9KopPvf+uYpTUBMBi01BY3bQ6IiIiH8LuOT+n1mI6mKM2xf1rx9Ea3E+DyaBDVIgJDcLYykRERL6PocnPA9PsFSlYujsDmYUWHM4pcfm+EpYSwgPRJDoY0SEBtVpOIiIib8DQ5MfW7M/CzxsOI6vQolbydqWTTTrlOiaGITjQhOhgM/q1iEHnxhF1UFoiIiLP8uoxTc8//zx69eqFsLAwxMXFYfjw4di+fXuF2xQXF+O2225DTEwMQkNDMWLECKSluTaY2d9bmWQM0/YjudiVlo9j+RaXAtNbo7rgqcs74eYBLXDjOc0xsncSTAavfhkRERG5hVd/2i1evFgFomXLlmHBggWwWq0YMmQICgoKym5zzz334Mcff8ScOXPU7VNTU3HllVd6tNz1pZVp3YEs5BfZcOJucqVkP7nyRvdpggs7JKJHchTObxunzhmYiIjIX3h199z8+fMrXJ4xY4ZqcVq9ejUGDBiAnJwcfPLJJ5g1axYuuOACdZvp06ejXbt2Kmj17dvXQyX3bjlFFrz4y1ZsTs076YrfpfPjSg1tH49HLmnPkERERH6rXn0CSkgS0dGyMxpUeJLWp0GDBpXdpm3btkhKSsLSpUs9Vk5vVmix4YbpK7DmQM4pt0jR6YAwsw5j+yTh9eu6Itjs1RmbiIioVtWbT0GHw4G7774b/fv3R8eOHdWxI0eOwGw2IzIyssJt4+Pj1XXVKSkpUSen3NxcdS4BzHlyXva1cUyv/bodmw5lI8BQ9W1kvzm7A5BFwTs3DMWdg9ugR3I0TDrN556P6vjq/78r/LnugvVn/cuf+xN/rntN6l1vQpOMbdq0aRP+/vtvtwwwnzJlygnHf/vtNwQHB5ddlnFUvqYTgJd6V33dugwdPt2ph0PT4e80HcY0yUHmthVYsA1+yRf//13lz3UXrD/r76/8te6FhYW+E5puv/12/PTTT1iyZAkaN25cdjwhIQEWiwXZ2dkVWptk9pxcV52HH34Y9957b4WWpiZNmqhB5uHh4Spxygtn8ODBMJlM8AX/7ErHnbPWoqSadQVU65Lqr9OpVqVzEjQYk7tiSIdE+Btf/P93lT/XXbD+rL+/1t+f616+x6lehyZN03DHHXdg7ty5+PPPP9GsWbMK1/fo0UP95/7+++9qqQEhSxKkpKSgX79+1T5uQECAOlUmj1X+xVL5cn02a0Uqcq3lh3affCyTQQfEhQf7TP1Phy/9/9eUP9ddsP6sv7/W31/rbnKxzkZv75KTmXHff/+9WqvJOU4pIiICQUFB6nzixImq1UgGh0srkYQsCUycOVdxttzyfZku3954PFt1SAyvvUIRERHVM14dmt5//311ft5551U4LssKjB8/Xv38+uuvQ6/Xq5YmGdw9dOhQvPfeex4przcO/P5zWxoe+GYDcopc24k30KhD92RZ4TuDywsQERHVp+65UwkMDMS7776rTlQxMH367z688us2FJcOVjqlvs2jcGmnRAzrHI9FC3+r9TISERHVJ14dmuj0bTiYg+/WHDhlYIoK1KNFXDhuvaA5zmkVr1qX/HXKKRER0ckwNPnoApY/rDuEfRknn0L51GUdML5/0zorFxERUX3G0OSDg75v+mwVNhzIRaG1mvUFUDo7rlFUYJ2WjYiIqD5jaPKxFqaxHy/F+kP5p7xtg7AARIecuOwCERERVY2hycdmyWW5MEvObADG9muKzo1llhwRERG5gqGpnoelNfuz8NXKFMxbm4rqO+NKBRj16NQoHLec3xwDjg/6JiIiItcwNNXjwDR7RQp+2pCKVfuyThmYxAVt43DjOc3RIzmqDkpIRETkW9jUUI+XFFi6OwOHsgvhcG0ZJmQWWpBbxOUEiIiITgdbmuqp9LxirD9wDKk5rq30rdcBDruG8CD/21OIiIjIHdjSVE+XFXjpv5tdDkwi2GxAl6RIDv4mIiI6TWxpqpfLCvyLvVklLt8nPNCIK7s3wr2DW3PwNxER0WliaKpng7+fnrcJ6w8VuHT7BqFmDG4fj0s7J6JXs2gGJiIiojPA0FSP/LUzHV+uOeTSbSMDjVh437mICDLXermIiIj8AUNTPWlhWrQ9DbfMXOPyfc5vG8fARERE5EYMTfVg0Pc9X67FH9uPuXwfk0GH7lyLiYiIyK0Ymrx80PeE6cuxJiW3Rvcb0DoWI3o0rrVyERER+SOGJi/2+dJ9NQpMDYINuPn81hjZJwnBZv7XEhERuRM/Wb1w/JKs9n0gqwDP/bLd5fud2yYG74/uybBERERUS/gJ62WB6fNl+/Hj+lSsScl2+X5ntYhkYCIiIqpl/JT1Imv2Z+GrFSnYlpbv8n0CdMBdA9syMBEREdUyrnboRaRbbmcNApO4tncSZ8oRERHVATZPeJFNKcdgd/G2wUY9rurRGA9d0o4rfRMREdUBhiYv8d91Kfh+01GXbtswPAC3nd9StTIxMBEREdUNfuJ6gWU7DuO2Lze6dNvoAGDyuS0YmIiIiOoYW5o8PFvux3WHcO+cDS7dvnWUCU+N6M7Nd4mIiDyAocmDgemDP3fh1QU7Xbr94xe1wdizmzMsEREReQhDk4cs2n7E5cD0+tWdcEWPpFovExEREVWPzRYemiU3eeZal24bF6zDpV25jxwREZGnMTR5IDBd+t5yl/9zvrt9ALvkiIiIvAC75+rQsfxilwNTclQAvrr5LCREBNd6uYiIiOjUGJrq0P99td6l243q3hhTRnRiCxMREZEXYWiqA4UWGz5csgt/7jx2ytt2aRzGwEREROSFGJrqIDBd/9FyrD6Q7dLtPxnfm4GJiIjICzE01XJguvbDxdh4qNil2//9wLmIDQ2s9XIRERFRzTE01WJgGvH2Qmw9euotePu3CsdH1/dDsJn/HURERN6Kn9K15KPFe10KTFd3T8TL13SrkzIRERHR6ePgmVoyY+meU94m0KDDY5d1qJPyEBER0ZlhaKolFpvjpNcbdMBPd5yFiCBznZWJiIiITh9DUy2JD69+QHfL6AD889D5aJkQWadlIiIiotPH0FRLpo3roVqTKntuWFssfGAQV/omIiKqZxiaaknTBuH4/d5z0KpBCGJCTer8z/vOwaizWni6aERERHQaOHuuloPTgvvO83QxiIiIyA3Y0kRERETkAoYmIiIiIhcwNBERERG5gKGJiIiIyAUMTUREREQuYGgiIiIicgFDExEREZELGJqIiIiIXMDQREREROQChiYiIiIifwpN7777Lpo2bYrAwED06dMHK1as8HSRiIiIyIf4RGj66quvcO+99+LJJ5/EmjVr0KVLFwwdOhTp6emeLhoRERH5CJ8ITa+99homTZqECRMmoH379vjggw8QHByMadOmebpoRERE5COMqOcsFgtWr16Nhx9+uOyYXq/HoEGDsHTp0irvU1JSok5Oubm56txqtZadnJf9Eevvv/X357oL1p/1L3/uT/y57jWpt07TNA31WGpqKho1aoR///0X/fr1Kzv+wAMPYPHixVi+fPkJ93nqqacwZcqUE47PmjVLtVARERGR/ygsLMSoUaOQk5OD8PBw321pOh3SKiVjoMq3NDVp0gRDhgxRT5YkzgULFmDw4MEwmUzwN6y//9bfn+suWH/W31/r7891L9/jdCr1PjTFxsbCYDAgLS2twnG5nJCQUOV9AgIC1KkyeaGUf7FUvuxvWH//rb8/112w/qy/v9bfX+tucrHO9X4guNlsRo8ePfD777+XHXM4HOpy+e46IiIiojNR71uahHS1jRs3Dj179kTv3r3xxhtvoKCgQM2mc4VzWFf5AeHSvymX/TFxs/7+W39/rrtg/Vl/f62/P9e9/Of/qYZ5+0Rouvbaa3H06FE88cQTOHLkCLp27Yr58+cjPj7epfvn5eWpcxnXRERERP4pLy8PERERvjt7zh2kO09m4YWFhUGn05UNDD9w4MBJR9H7Ktbff+vvz3UXrD/r76/19+e6C4lCEpgSExPVskU+3dJ0puQJaty48QnH5YXjjy8eJ9bff+vvz3UXrD/r76/19+e6R5ykhclnBoITERER1QWGJiIiIiIXMDRVQdZwks1/q1rLyR+w/v5bf3+uu2D9WX9/rb8/170mOBCciIiIyAVsaSIiIiJyAUMTERERkQsYmoiIiIhcwNBUhXfffRdNmzZFYGAg+vTpgxUrVsDXPP/88+jVq5da0DMuLg7Dhw/H9u3bK9ymuLgYt912G2JiYhAaGooRI0acsDGyr3jhhRfUwqZ3332339T/0KFDGDNmjKpfUFAQOnXqhFWrVpVdL8MdZZX9hg0bqusHDRqEnTt3or6z2+14/PHH0axZM1WvFi1a4D//+U+F7RN8qe5LlizBZZddphbtk9f4vHnzKlzvSl0zMzMxevRotX5PZGQkJk6ciPz8fNT3+svWIQ8++KB67YeEhKjbjB07Vi127A/1r+zmm29Wt5GtyHyl/u7G0FTJV199pfayk1kEa9asQZcuXTB06FCkp6fDlyxevFgFgmXLlmHBggXqzWPIkCFqzz6ne+65Bz/++CPmzJmjbi9vJFdeeSV8zcqVK/Hhhx+ic+fOFY77cv2zsrLQv39/tcfUL7/8gi1btuDVV19FVFRU2W1eeuklvPXWW/jggw+wfPly9aEifwsSJuuzF198Ee+//z7eeecdbN26VV2Wur799ts+WXf5m5b3MfkyWBVX6iofmJs3b1bvFT/99JP6IJ48eTLqe/1lrzV5n5cQLeffffed+vI4bNiwCrfz1fqXN3fuXPV5IOGqsvpcf7eT2XP0P71799Zuu+22sst2u11LTEzUnn/+ec2Xpaeny9dsbfHixepydna2ZjKZtDlz5pTdZuvWreo2S5cu1XxFXl6e1qpVK23BggXaueeeq911111+Uf8HH3xQO/vss6u93uFwaAkJCdrLL79cdkyek4CAAG327NlafXbJJZdoN9xwQ4VjV155pTZ69Gifr7u8fufOnVt22ZW6btmyRd1v5cqVZbf55ZdfNJ1Opx06dEirz/WvyooVK9Tt9u/f7zf1P3jwoNaoUSNt06ZNWnJysvb666+XXedL9XcHtjSVY7FYsHr1atU8XX6LFbm8dOlS+LKcnBx1Hh0drc7leZDWp/LPRdu2bZGUlORTz4W0tl1yySUV6ukP9f/hhx/Qs2dPXH311ap7tlu3bvjoo4/Krt+7d6/a/Lp8/WWLAemuru/1P+uss/D7779jx44d6vL69evx999/46KLLvL5ulfmSl3lXLpk5PXiJLeX90ZpmfLF90LpopI6+0P9Ze/V66+/Hvfffz86dOhwwvW+Xv+a4t5z5Rw7dkyNd4iPj69wXC5v27YNvkr+aGQsj3TXdOzYUR2TN1Kz2Vz2xlH+uZDrfMGXX36pmuSle64yX6//nj17VBeVdEU/8sgj6jm48847VZ3HjRtXVseq/hbqe/0feughtTmphGCDwaD+5p999lnVBSF8ue6VuVJXOZdgXZ7RaFRfsHzt+ZAuSRnjNHLkyLL913y9/tI9LfWRv/+q+Hr9a4qhiVRry6ZNm9S3bX8hO3nfddddqo9eBvz7GwnK8s3xueeeU5elpUleAzKuRUKTL/v666/xxRdfYNasWeqb9bp169SXBhnL4et1p+pJy/I111yjBsbLFwp/IC3qb775pvryKK1rdGrsnisnNjZWffOsPENKLickJMAX3X777Wpg36JFi9C4ceOy41Jf6a7Mzs72yedC3ixkcH/37t3VtyY5yWBvGRArP8s3bV+uv8yUat++fYVj7dq1Q0pKivrZWUdf/FuQbghpbbruuuvUrCnpmpBB/zKj1NfrXpkrdZXzyhNhbDabmlHlK8+HMzDt379ffZFytjL5ev3/+usvVTcZduB8H5Tn4L777lMzyH29/qeDoakc6Zro0aOHGu9Q/hu5XO7Xrx98iXybksAkMyb++OMPNf26PHkeZGZV+edCZpXIh6ovPBcDBw7Exo0bVSuD8yQtL9JF4/zZl+svXbGVl5iQMT7JycnqZ3k9yBti+fpLl5aMYajv9ZcZUzIeozz5siR/675e98pcqaucy5cH+aLhJO8Z8nzJ2CdfCUyyzMLChQvVEhzl+XL95QvDhg0bKrwPSourfLH49ddffb7+p8Utw8l9yJdffqlmjsyYMUPNGpg8ebIWGRmpHTlyRPMlt9xyixYREaH9+eef2uHDh8tOhYWFZbe5+eabtaSkJO2PP/7QVq1apfXr10+dfFX52XO+Xn+ZIWQ0GrVnn31W27lzp/bFF19owcHB2ueff152mxdeeEG99r///nttw4YN2uWXX641a9ZMKyoq0uqzcePGqZlCP/30k7Z3717tu+++02JjY7UHHnjAJ+suM0TXrl2rTvKW/9prr6mfnbPDXKnrhRdeqHXr1k1bvny59vfff6sZpyNHjtTqe/0tFos2bNgwrXHjxtq6desqvBeWlJT4fP2rUnn2XH2vv7sxNFXh7bffVh+WZrNZLUGwbNkyzdfIH09Vp+nTp5fdRt40b731Vi0qKkp9oF5xxRXqzcRfQpOv1//HH3/UOnbsqL4ktG3bVps6dWqF62U6+uOPP67Fx8er2wwcOFDbvn27Vt/l5uaq/2f5Gw8MDNSaN2+uPfrooxU+JH2p7osWLaryb13Co6t1zcjIUB+SoaGhWnh4uDZhwgT1YVzf6y+hubr3Qrmfr9ff1dBUn+vvbjr55/TaqIiIiIj8B8c0EREREbmAoYmIiIjIBQxNRERERC5gaCIiIiJyAUMTERERkQsYmoiIiIhcwNBERERE5AKGJiIiIiIXMDQRUb0gu7DPmzfPax7nTMhm0C1btsS///7rsTIcO3YMcXFxOHjwoMfKQFTfMDQRUQVLly5VG9hecsklNb6v7Iz+xhtvwFOOHDmCO+64A82bN0dAQACaNGmCyy67rMKGtN7ggw8+UJvlnnXWWZgxY4YKcic77du3r8a/Y+rUqTjvvPMQHh6uHkM2XS0vNjYWY8eOxZNPPunGmhH5NoYmIqrgk08+UcFjyZIlSE1NRX0hwaJHjx5qB/aXX34ZGzduxPz583H++efjtttug7eQnaveeecdTJw4UV2+9tprcfjw4bKT7Co/adKkCsck/FU2fvx4PPXUU9X+nsLCQlx44YV45JFHqr3NhAkT8MUXXyAzM9NNtSPybQxNRFQmPz8fX331FW655RbV0iStIJX9+OOP6NWrFwIDA1VrxRVXXKGOS6vG/v37cc8995S1kAj5YO/atWuFx5DWKGmVclq5ciUGDx6sHi8iIgLnnnsu1qxZU6Oy33rrrep3rlixAiNGjEDr1q3RoUMH3HvvvVi2bFm195NwdcEFFyAoKAgxMTGYPHmyeh6c/vzzT/Tu3RshISGIjIxE//79VT2dvv/+e3Tv3l09H9LCNWXKFNhstmp/3+rVq7F79+6yljz5vQkJCWUns9mM4ODgCsek5a+m7r77bjz00EPo27dvtbeR5ycxMRFz586t8eMT+SOGJiIq8/XXX6Nt27Zo06YNxowZg2nTpqmWEaf//ve/KiRdfPHFWLt2rer2kkAhvvvuOzRu3BhPP/10WQuJq/Ly8jBu3Dj8/fffKuC0atVK/Q457gppKZFWJWlRknBTmYSdqhQUFGDo0KGIiopSwW3OnDlYuHAhbr/9dnW9hJ/hw4erELdhwwbVdSmhyhkI//rrL9XFddddd2HLli348MMPVdB89tlnqy2r3EcCXVhYGLyB/P9JmYjo1Iwu3IaI/KhrTsKSkK6dnJwcLF68WLUiCQkD1113nWpNcerSpYs6j46OVi0iEgakdaQmpKWn8ngcCTryuy+99NJT3n/Xrl0q3Engq4lZs2ahuLgYM2fOLAtb0nUm46BefPFFmEwm9RxIGVq0aKGub9euXdn95XmQ1hwJfEJamv7zn//ggQceqHaskLRSSeuOt5CySAAmolNjSxMRKdu3b1ddWyNHjlSXjUajGm8jQcpp3bp1GDhwoNt/d1pamhrHIy1M0j0ng5eliywlJcWl+5dvDauJrVu3qtBXvnVKut8cDod6PiQIytghaY2SIPXmm29WaEFbv369alkLDQ0tOznHI8mYoqoUFRWprryakrFH5X+PXH7uuecqHDudFiPpHqyurERUEVuaiEiRcCTdUeVbQSSMyCw0aX2RMCMfsDWl1+tPCDVWq7XCZWmpycjIUKEkOTlZ/U4ZEC1T810hYUu6zLZt2wZ3mz59Ou68807V/SfjvR577DEsWLBAjRWSYCetTVdeeeUJ96suGMm4LRlHVVPDhg1Dnz59yi4/+OCDaNSokSqbk1yuKenabNCgQY3vR+SP2NJERCosSRfVq6++qlqTnCdpSZEQNXv2bHW7zp07n3T6vgxittvtFY7JB7IsBVA+OMljl/fPP/+oD38ZxySDkyU0yTpCrpIWIWkNevfdd9U4pcoqT7d3kq42qWP5+0hZJOjJuC6nbt264eGHH1brKnXs2FF16wkZAC4tUrLmUuWTPEZV5LEk3NW0dUy6Pcs/vlyWepc/djqhdtOmTapMRHRqDE1EhJ9++glZWVlqGryEgvInmYnm7KKTcToSoORcurakxUTG/jjJjDhZquDQoUNloUfGQx09ehQvvfSSmjUmweaXX345oaXos88+U4+5fPlyjB49usYBQB5XApsMbP7222+xc+dO9XhvvfWWarWqivweaRGSli4JD4sWLVLLLVx//fWIj4/H3r17VViSAeAyFum3335Tj+sc1/TEE0+osCmtTZs3b1a/78svv1StUdWRJRCkhUpuX5skqEo4lfFeQv6v5HL55QWkW05m8w0ZMqRWy0LkMzQi8nuXXnqpdvHFF1d53fLly6VJRFu/fr26/O2332pdu3bVzGazFhsbq1155ZVlt126dKnWuXNnLSAgQN3H6f3339eaNGmihYSEaGPHjtWeffZZLTk5uez6NWvWaD179tQCAwO1Vq1aaXPmzFHXv/7662W3kcebO3fuSeuRmpqq3Xbbbeq+Ur5GjRppw4YN0xYtWlTt42zYsEE7//zz1e+Ojo7WJk2apOXl5anrjhw5og0fPlxr2LChejx53CeeeEKz2+1l958/f7521llnaUFBQVp4eLjWu3dvberUqSct5zXXXKM99NBDVV537rnnanfddZd2KuPGjdOefPLJaq+X66SulU/Tp08vu82sWbO0Nm3anPJ3EVEpnfzj6eBGRORPZPkCWZdKWt5kALenyLgs6RYdNWqUx8pAVJ+we46IqI7J2DDp1pTuP0+R7lMZwO6cLUlEp8aWJiIiIiIXsKWJiIiIyAUMTUREREQuYGgiIiIicgFDExEREZELGJqIiIiIXMDQREREROQChiYiIiIiFzA0EREREbmAoYmIiIjIBQxNRERERDi1/wdc/loVt4zylQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "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"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "import torch, torch.nn as nn\n",
    "from torch.utils.data import DataLoader, TensorDataset\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# ----------------------\n",
    "# Config\n",
    "# ----------------------\n",
    "\n",
    "SEQ_LEN      = 20\n",
    "CUT_FRACTION = 0.8   # 70% earliest dates for train\n",
    "BATCH_SIZE   = 32\n",
    "EPOCHS       = 500\n",
    "LR           = 0.0001\n",
    "HIDDEN       = 64\n",
    "LAYERS       = 2\n",
    "DROPOUT      = 0.4\n",
    "\n",
    "\n",
    "\n",
    "# normalize headers\n",
    "df.columns = (\n",
    "    df.columns\n",
    "    .map(lambda c: c.replace(\"\\u00A0\", \" \"))\n",
    "    .map(lambda c: c.strip())\n",
    "    .str.lower()\n",
    "    .str.replace(r\"[^a-z0-9]+\", \"_\", regex=True)\n",
    "    .str.strip(\"_\")\n",
    ")\n",
    "df = df.rename(columns={\"sectoer\": \"sector\"})\n",
    "for col in [\"symbol\",\"date\",\"open\",\"close\"]:\n",
    "    if col not in df.columns:\n",
    "        raise RuntimeError(f\"Missing required column: {col}\")\n",
    "\n",
    "df[\"date\"] = pd.to_datetime(df[\"date\"], errors=\"coerce\")\n",
    "df[\"open\"] = pd.to_numeric(df[\"open\"], errors=\"coerce\")\n",
    "df[\"close\"] = pd.to_numeric(df[\"close\"], errors=\"coerce\")\n",
    "df = df.dropna(subset=[\"symbol\",\"date\",\"open\",\"close\"])\n",
    "df = df.sort_values([\"symbol\",\"date\"]).reset_index(drop=True)\n",
    "\n",
    "# ----------------------\n",
    "#Feature engineering (Open & Close only)\n",
    "#Features per step: [log_open, log_close]\n",
    "#Target: next-day log_close\n",
    "# ----------------------\n",
    "def build_features(g: pd.DataFrame) -> pd.DataFrame:\n",
    "    g = g.sort_values(\"date\").copy()\n",
    "    # logs are valid only for positive prices\n",
    "    g[\"log_open\"]  = np.log(g[\"open\"].replace(0, np.nan))\n",
    "    g[\"log_close\"] = np.log(g[\"close\"].replace(0, np.nan))\n",
    "    g[\"y_next_log_close\"] = g[\"log_close\"].shift(-1)  # next day's log close (what we predict)\n",
    "    # drop rows where target not available yet\n",
    "    g = g.dropna(subset=[\"log_open\",\"log_close\",\"y_next_log_close\"])\n",
    "    return g\n",
    "\n",
    "df_feat = df.groupby(\"symbol\", group_keys=False).apply(build_features)\n",
    "feature_cols = [\"log_open\",\"log_close\"]\n",
    "target_col   = \"y_next_log_close\"\n",
    "\n",
    "if df_feat.empty:\n",
    "    raise RuntimeError(\"No rows after feature engineering; check data.\")\n",
    "\n",
    "# ----------------------\n",
    "#Walk-forward split by date\n",
    "# ----------------------\n",
    "cutoff_date = df_feat[\"date\"].quantile(CUT_FRACTION)\n",
    "train_df = df_feat[df_feat[\"date\"] <= cutoff_date].copy()\n",
    "test_df  = df_feat[df_feat[\"date\"] >  cutoff_date].copy()\n",
    "if test_df.empty:\n",
    "    raise RuntimeError(\"Empty test set; adjust CUT_FRACTION.\")\n",
    "\n",
    "# ----------------------\n",
    "#Scale features (train only). No scaling on target (we work in log space).\n",
    "# ----------------------\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(train_df[feature_cols].values)\n",
    "train_df.loc[:, feature_cols] = scaler.transform(train_df[feature_cols].values)\n",
    "test_df.loc[:,  feature_cols] = scaler.transform(test_df[feature_cols].values)\n",
    "\n",
    "# ----------------------\n",
    "#Sequence builders\n",
    "# ----------------------\n",
    "def to_sequences(frame: pd.DataFrame, seq_len: int):\n",
    "    X, y, meta = [], [], []\n",
    "    for sym, g in frame.groupby(\"symbol\"):\n",
    "        g = g.sort_values(\"date\")\n",
    "        F, Y, D, C = g[feature_cols].values, g[target_col].values, g[\"date\"].values, g[\"close\"].values\n",
    "        for i in range(len(g) - seq_len):\n",
    "            X.append(F[i:i+seq_len])\n",
    "            y.append(Y[i+seq_len-1])   # predict next-day log close for last step\n",
    "            meta.append((sym, D[i+seq_len-1], C[i+seq_len-1]))  # store last known date & price\n",
    "    if len(X) == 0:\n",
    "        return np.empty((0, seq_len, len(feature_cols))), np.empty((0,1)), []\n",
    "    return np.array(X), np.array(y).reshape(-1,1), meta\n",
    "\n",
    "def to_sequences_seeded(train_frame: pd.DataFrame, test_frame: pd.DataFrame, seq_len: int):\n",
    "    # seed each test symbol with last seq_len-1 train rows to ensure first test sequence exists\n",
    "    X, y, meta = [], [], []\n",
    "    for sym, g_test in test_frame.groupby(\"symbol\"):\n",
    "        g_test = g_test.sort_values(\"date\")\n",
    "        g_train = train_frame[train_frame[\"symbol\"] == sym].sort_values(\"date\")\n",
    "        seed = g_train.tail(seq_len - 1) if len(g_train) >= (seq_len - 1) else g_train\n",
    "        combined = pd.concat([seed, g_test], ignore_index=True)\n",
    "\n",
    "        F = combined[feature_cols].values\n",
    "        Y = combined[target_col].values\n",
    "        D = combined[\"date\"].values\n",
    "        C = combined[\"close\"].values  # actual close for inverse plotting\n",
    "\n",
    "        test_dates = set(pd.to_datetime(g_test[\"date\"]).tolist())\n",
    "        for i in range(len(combined) - seq_len):\n",
    "            last_idx = i + seq_len - 1\n",
    "            if pd.Timestamp(D[last_idx]) in test_dates:\n",
    "                X.append(F[i:i+seq_len])\n",
    "                y.append(Y[last_idx])\n",
    "                meta.append((sym, D[last_idx], C[last_idx]))  # store actual last close\n",
    "    if len(X) == 0:\n",
    "        return np.empty((0, seq_len, len(feature_cols))), np.empty((0,1)), []\n",
    "    return np.array(X), np.array(y).reshape(-1,1), meta\n",
    "\n",
    "X_train, y_train, meta_train = to_sequences(train_df, SEQ_LEN)\n",
    "X_test,  y_test,  meta_test  = to_sequences_seeded(train_df, test_df, SEQ_LEN)\n",
    "\n",
    "if len(X_train) == 0:\n",
    "    raise RuntimeError(\"No train sequences; reduce SEQ_LEN.\")\n",
    "if len(X_test) == 0:\n",
    "    raise RuntimeError(\"No test sequences; reduce SEQ_LEN or increase test span.\")\n",
    "\n",
    "# ----------------------\n",
    "#Torch model\n",
    "# ----------------------\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "class LSTMModel(nn.Module):\n",
    "    def __init__(self, input_size=2, hidden=HIDDEN, layers=LAYERS, dropout=DROPOUT):\n",
    "        super().__init__()\n",
    "        self.lstm = nn.LSTM(input_size, hidden, num_layers=layers, batch_first=True, dropout=dropout)\n",
    "        self.fc = nn.Linear(hidden, 1)\n",
    "    def forward(self, x):\n",
    "        out, _ = self.lstm(x)\n",
    "        return self.fc(out[:, -1, :])\n",
    "\n",
    "X_train_t = torch.tensor(X_train, dtype=torch.float32).to(device)\n",
    "y_train_t = torch.tensor(y_train, dtype=torch.float32).to(device)\n",
    "X_test_t  = torch.tensor(X_test,  dtype=torch.float32).to(device)\n",
    "y_test_t  = torch.tensor(y_test,  dtype=torch.float32).to(device)\n",
    "\n",
    "model = LSTMModel(input_size=len(feature_cols)).to(device)\n",
    "criterion = nn.HuberLoss(delta=1.0)\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=LR)\n",
    "\n",
    "train_loader = DataLoader(TensorDataset(X_train_t, y_train_t), batch_size=BATCH_SIZE, shuffle=False)\n",
    "\n",
    "# ----------------------\n",
    "#Train\n",
    "# ----------------------\n",
    "model.train()\n",
    "for epoch in range(1, EPOCHS+1):\n",
    "    total = 0.0\n",
    "    for xb, yb in train_loader:\n",
    "        optimizer.zero_grad()\n",
    "        pred = model(xb)\n",
    "        loss = criterion(pred, yb)\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "        total += loss.item() * xb.size(0)\n",
    "    if epoch % 5 == 0:\n",
    "        print(f\"Epoch {epoch}/{EPOCHS} - train loss: {total/len(train_loader.dataset):.6f}\")\n",
    "\n",
    "# ----------------------\n",
    "#Predict (log-close) → price\n",
    "# ----------------------\n",
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    y_pred_log = model(X_test_t).cpu().numpy()\n",
    "\n",
    "y_true_log = y_test.reshape(-1,1)\n",
    "\n",
    "# Convert log-close to price\n",
    "# y_pred_log is log(C_{t+1}); exp gives price directly (same units as input)\n",
    "price_pred = np.exp(y_pred_log)\n",
    "price_true = np.exp(y_true_log)\n",
    "\n",
    "# ----------------------\n",
    "#Metrics & predictions DF\n",
    "# ----------------------\n",
    "mae_price = mean_absolute_error(price_true, price_pred)\n",
    "print(\"Test samples:\", len(price_true))\n",
    "print(f\"MAE (price): {mae_price:.4f}\")\n",
    "\n",
    "pred_df = pd.DataFrame({\n",
    "    \"symbol\": [m[0] for m in meta_test],\n",
    "    \"date\":   [pd.Timestamp(m[1]) for m in meta_test],\n",
    "    \"last_close_actual\": [m[2] for m in meta_test],   # close at time t\n",
    "    \"close_true_tplus1\": price_true.flatten(),        # true close at t+1\n",
    "    \"close_pred_tplus1\": price_pred.flatten()         # predicted close at t+1\n",
    "}).sort_values([\"symbol\",\"date\"]).reset_index(drop=True)\n",
    "\n",
    "# ----------------------\n",
    "#Plots\n",
    "# ----------------------\n",
    "#predicted vs actual price\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.scatter(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"], s=12, alpha=0.5)\n",
    "lims = [min(pred_df[\"close_true_tplus1\"].min(), pred_df[\"close_pred_tplus1\"].min()),\n",
    "        max(pred_df[\"close_true_tplus1\"].max(), pred_df[\"close_pred_tplus1\"].max())]\n",
    "plt.plot(lims, lims, linestyle=\"--\")\n",
    "plt.title(\"Predicted vs Actual Next-Day Close Price\")\n",
    "plt.xlabel(\"Actual Close (T+1)\")\n",
    "plt.ylabel(\"Predicted Close (T+1)\")\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Time series: pick symbol with most test points\n",
    "counts = pred_df.groupby(\"symbol\").size().sort_values(ascending=False)\n",
    "sample_symbol = counts.index[0]\n",
    "sym_df = pred_df[pred_df[\"symbol\"] == sample_symbol].sort_values(\"date\")\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(sym_df[\"date\"], sym_df[\"close_true_tplus1\"], label=\"Actual\", marker=\"o\", linewidth=1)\n",
    "plt.plot(sym_df[\"date\"], sym_df[\"close_pred_tplus1\"], label=\"Predicted\", marker=\"x\", linewidth=1)\n",
    "plt.title(f\"Next-Day Close Price — Actual vs Predicted (symbol {sample_symbol})\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Price\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "top_syms = pred_df[\"symbol\"].value_counts().head(6).index.tolist()\n",
    "fig, axes = plt.subplots(3, 2, figsize=(12,10), sharex=False, sharey=False)\n",
    "axes = axes.ravel()\n",
    "for ax, sym in zip(axes, top_syms):\n",
    "    g = pred_df[pred_df[\"symbol\"] == sym].sort_values(\"date\")\n",
    "    ax.plot(g[\"date\"], g[\"close_true_tplus1\"], label=\"Actual\", marker=\"o\", linewidth=1)\n",
    "    ax.plot(g[\"date\"], g[\"close_pred_tplus1\"], label=\"Predicted\", marker=\"x\", linewidth=1)\n",
    "    ax.set_title(f\"Symbol {sym}\"); ax.set_xlabel(\"Date\"); ax.set_ylabel(\"Price\"); ax.grid(True)\n",
    "axes[0].legend()\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "6c5b067f-247a-41aa-8ae8-dd22da04a7d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "\n",
    "# Group and normalize per symbol (base = first actual in test window)\n",
    "for sym, g in pred_df.groupby(\"symbol\"):\n",
    "    g = g.sort_values(\"date\")\n",
    "    base = g[\"close_true_tplus1\"].iloc[0]\n",
    "    if base == 0 or np.isnan(base):  # skip weird cases\n",
    "        continue\n",
    "    actual_idx = (g[\"close_true_tplus1\"] / base) * 100.0\n",
    "    pred_idx   = (g[\"close_pred_tplus1\"]  / base) * 100.0\n",
    "\n",
    "    # Plot both; thin lines to reduce clutter\n",
    "    plt.plot(g[\"date\"], actual_idx, linewidth=0.8, alpha=0.5)\n",
    "    plt.plot(g[\"date\"], pred_idx, '--', linewidth=0.8, alpha=0.5)\n",
    "\n",
    "plt.title(\"Next-Day Close\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Index (Base=100)\")\n",
    "plt.grid(True)\n",
    "\n",
    "# optional: compact legend showing just a few entries\n",
    "# handles, labels = plt.gca().get_legend_handles_labels()\n",
    "# plt.legend(handles[:10], labels[:10], fontsize=8)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "c8b1227e-d8a0-4f07-b1b6-f2e5046252c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Scatter plot of all predictions across all companies\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.scatter(\n",
    "    pred_df[\"close_true_tplus1\"],\n",
    "    pred_df[\"close_pred_tplus1\"],\n",
    "    alpha=0.5, s=10\n",
    ")\n",
    "\n",
    "# 45-degree reference line\n",
    "lims = [\n",
    "    min(pred_df[\"close_true_tplus1\"].min(), pred_df[\"close_pred_tplus1\"].min()),\n",
    "    max(pred_df[\"close_true_tplus1\"].max(), pred_df[\"close_pred_tplus1\"].max())\n",
    "]\n",
    "plt.plot(lims, lims, 'r--', linewidth=1)  # diagonal\n",
    "\n",
    "plt.title(\"Predicted vs Actual\")\n",
    "plt.xlabel(\"Actual Price\")\n",
    "plt.ylabel(\"Predicted Price\")\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d1d51df6-a16d-4403-930d-3779b5b67349",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "# Compute Pearson correlation\n",
    "corr = np.corrcoef(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"])[0, 1]\n",
    "# Compute R²\n",
    "r2 = r2_score(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"])\n",
    "\n",
    "# Scatter plot\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.scatter(\n",
    "    pred_df[\"close_true_tplus1\"],\n",
    "    pred_df[\"close_pred_tplus1\"],\n",
    "    alpha=0.5, s=10\n",
    ")\n",
    "\n",
    "\n",
    "lims = [\n",
    "    min(pred_df[\"close_true_tplus1\"].min(), pred_df[\"close_pred_tplus1\"].min()),\n",
    "    max(pred_df[\"close_true_tplus1\"].max(), pred_df[\"close_pred_tplus1\"].max())\n",
    "]\n",
    "plt.plot(lims, lims, 'r--', linewidth=1)  # diagonal\n",
    "\n",
    "# Title includes stats\n",
    "plt.title(f\"Predicted vs Actual\\nPearson r={corr:.3f}, R²={r2:.3f}\")\n",
    "plt.xlabel(\"Actual Price\")\n",
    "plt.ylabel(\"Predicted Price\")\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b8e3c58f-4087-460e-8955-b5e366f31704",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\يوسف عثمان\\AppData\\Local\\Temp\\ipykernel_22376\\123917666.py:39: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all Axes decorations.\n",
      "  plt.tight_layout()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "# Compute stats\n",
    "corr = np.corrcoef(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"])[0, 1]\n",
    "r2 = r2_score(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"])\n",
    "\n",
    "# Unique symbols for coloring\n",
    "symbols = pred_df[\"symbol\"].unique()\n",
    "colors = plt.cm.tab20(np.linspace(0, 1, len(symbols)))  # up to 20 distinct colors\n",
    "\n",
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "for color, sym in zip(colors, symbols):\n",
    "    g = pred_df[pred_df[\"symbol\"] == sym]\n",
    "    plt.scatter(\n",
    "        g[\"close_true_tplus1\"],\n",
    "        g[\"close_pred_tplus1\"],\n",
    "        alpha=0.5, s=10, label=str(sym), color=color\n",
    "    )\n",
    "\n",
    "# 45-degree reference line\n",
    "lims = [\n",
    "    min(pred_df[\"close_true_tplus1\"].min(), pred_df[\"close_pred_tplus1\"].min()),\n",
    "    max(pred_df[\"close_true_tplus1\"].max(), pred_df[\"close_pred_tplus1\"].max())\n",
    "]\n",
    "plt.plot(lims, lims, 'k--', linewidth=1)\n",
    "\n",
    "# Title with stats\n",
    "plt.title(f\"Predicted vs Actual (All Symbols)\\nPearson r={corr:.3f}, R²={r2:.3f}\")\n",
    "plt.xlabel(\"Actual Price\")\n",
    "plt.ylabel(\"Predicted Price\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Optional: legend for first few symbols\n",
    "plt.legend(title=\"Symbol\", bbox_to_anchor=(1.05, 1), loc='upper left', fontsize=8, ncol=1)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "57a4e189-e98c-4df9-9a70-7fe719bc9444",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\يوسف عثمان\\AppData\\Local\\Temp\\ipykernel_22376\\123917666.py:39: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all Axes decorations.\n",
      "  plt.tight_layout()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "# Compute stats\n",
    "corr = np.corrcoef(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"])[0, 1]\n",
    "r2 = r2_score(pred_df[\"close_true_tplus1\"], pred_df[\"close_pred_tplus1\"])\n",
    "\n",
    "# Unique symbols for coloring\n",
    "symbols = pred_df[\"symbol\"].unique()\n",
    "colors = plt.cm.tab20(np.linspace(0, 1, len(symbols)))  # up to 20 distinct colors\n",
    "\n",
    "plt.figure(figsize=(7,7))\n",
    "\n",
    "for color, sym in zip(colors, symbols):\n",
    "    g = pred_df[pred_df[\"symbol\"] == sym]\n",
    "    plt.scatter(\n",
    "        g[\"close_true_tplus1\"],\n",
    "        g[\"close_pred_tplus1\"],\n",
    "        alpha=0.5, s=10, label=str(sym), color=color\n",
    "    )\n",
    "\n",
    "# 45-degree reference line\n",
    "lims = [\n",
    "    min(pred_df[\"close_true_tplus1\"].min(), pred_df[\"close_pred_tplus1\"].min()),\n",
    "    max(pred_df[\"close_true_tplus1\"].max(), pred_df[\"close_pred_tplus1\"].max())\n",
    "]\n",
    "plt.plot(lims, lims, 'k--', linewidth=1)\n",
    "\n",
    "# Title with stats\n",
    "plt.title(f\"Predicted vs Actual (All Symbols)\\nPearson r={corr:.3f}, R²={r2:.3f}\")\n",
    "plt.xlabel(\"Actual Price\")\n",
    "plt.ylabel(\"Predicted Price\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Optional: legend for first few symbols\n",
    "plt.legend(title=\"Symbol\", bbox_to_anchor=(1.05, 1), loc='upper left', fontsize=8, ncol=1)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f896734c-9c31-4a99-90e1-bd55422733bc",
   "metadata": {},
   "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>Symbol</th>\n",
       "      <th>MAE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAPE (%)</th>\n",
       "      <th>Dir_Acc (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4337</td>\n",
       "      <td>0.023598</td>\n",
       "      <td>0.026019</td>\n",
       "      <td>0.351749</td>\n",
       "      <td>55.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4280</td>\n",
       "      <td>0.034920</td>\n",
       "      <td>0.045414</td>\n",
       "      <td>0.544615</td>\n",
       "      <td>55.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4344</td>\n",
       "      <td>0.039219</td>\n",
       "      <td>0.044362</td>\n",
       "      <td>0.481614</td>\n",
       "      <td>75.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4310</td>\n",
       "      <td>0.039246</td>\n",
       "      <td>0.055845</td>\n",
       "      <td>0.496603</td>\n",
       "      <td>77.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4334</td>\n",
       "      <td>0.040217</td>\n",
       "      <td>0.049881</td>\n",
       "      <td>0.572491</td>\n",
       "      <td>66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2010</td>\n",
       "      <td>3.776693</td>\n",
       "      <td>4.480155</td>\n",
       "      <td>5.146355</td>\n",
       "      <td>77.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>8210</td>\n",
       "      <td>3.806138</td>\n",
       "      <td>4.679245</td>\n",
       "      <td>3.775316</td>\n",
       "      <td>44.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>6004</td>\n",
       "      <td>4.103038</td>\n",
       "      <td>4.182906</td>\n",
       "      <td>5.699162</td>\n",
       "      <td>55.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>4001</td>\n",
       "      <td>6.808890</td>\n",
       "      <td>6.957668</td>\n",
       "      <td>7.479620</td>\n",
       "      <td>44.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>2270</td>\n",
       "      <td>8.168069</td>\n",
       "      <td>8.460672</td>\n",
       "      <td>5.456222</td>\n",
       "      <td>55.555556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>196 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol       MAE      RMSE  MAPE (%)  Dir_Acc (%)\n",
       "0      4337  0.023598  0.026019  0.351749    55.555556\n",
       "1      4280  0.034920  0.045414  0.544615    55.555556\n",
       "2      4344  0.039219  0.044362  0.481614    75.000000\n",
       "3      4310  0.039246  0.055845  0.496603    77.777778\n",
       "4      4334  0.040217  0.049881  0.572491    66.666667\n",
       "..      ...       ...       ...       ...          ...\n",
       "191    2010  3.776693  4.480155  5.146355    77.777778\n",
       "192    8210  3.806138  4.679245  3.775316    44.444444\n",
       "193    6004  4.103038  4.182906  5.699162    55.555556\n",
       "194    4001  6.808890  6.957668  7.479620    44.444444\n",
       "195    2270  8.168069  8.460672  5.456222    55.555556\n",
       "\n",
       "[196 rows x 5 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "\n",
    "results = []\n",
    "for sym, g in pred_df.groupby(\"symbol\"):\n",
    "    y_true = g[\"close_true_tplus1\"].values\n",
    "    y_pred = g[\"close_pred_tplus1\"].values\n",
    "\n",
    "    mae  = mean_absolute_error(y_true, y_pred)\n",
    "    rmse = mean_squared_error(y_true, y_pred) ** 0.5\n",
    "    mape = np.mean(np.abs((y_true - y_pred) / np.where(y_true == 0, np.nan, y_true))) * 100\n",
    "    mape = float(np.nan_to_num(mape))  # handle zeros safely\n",
    "    dir_acc = (np.sign(np.diff(y_true, prepend=y_true[0])) ==\n",
    "               np.sign(np.diff(y_pred, prepend=y_pred[0]))).mean() * 100\n",
    "\n",
    "    results.append([sym, mae, rmse, mape, dir_acc])\n",
    "\n",
    "perf_df = pd.DataFrame(results, columns=[\"Symbol\", \"MAE\", \"RMSE\", \"MAPE (%)\", \"Dir_Acc (%)\"])\n",
    "perf_df = perf_df.sort_values(\"MAE\").reset_index(drop=True)\n",
    "\n",
    "# Show table in Jupyter\n",
    "perf_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "88e74500-f27f-4b63-8e46-a822a3559d6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\يوسف عثمان\\AppData\\Local\\Temp\\ipykernel_22376\\3794860825.py:62: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  df_feat = df.groupby(\"symbol\", group_keys=False).apply(build_features)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 10/100  train: 0.167411  val: 0.239100\n",
      "Epoch 20/100  train: 0.123999  val: 0.211370\n",
      "Epoch 30/100  train: 0.108095  val: 0.220065\n",
      "Epoch 40/100  train: 0.091610  val: 0.248397\n",
      "Epoch 50/100  train: 0.079754  val: 0.289229\n",
      "Epoch 60/100  train: 0.072150  val: 0.297958\n",
      "Epoch 70/100  train: 0.070746  val: 0.290875\n",
      "Early stopping at epoch 73 (best val=0.209986)\n",
      "VAL — loss: 0.209986 | MAE_ret: 0.029946 | Pearson r: 0.1163 | DirAcc: 46.03% | MASE: 2.065\n",
      "TEST — MAE_ret: 0.036212 | Pearson r: 0.0884 | DirAcc: 50.62% | MASE: 2.201\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch, torch.nn as nn\n",
    "from torch.utils.data import DataLoader, TensorDataset\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "SEQ_LEN      = 20\n",
    "CUT_FRACTION = 0.8       # earliest 80% -> dev (train+val), rest -> test\n",
    "VAL_FRAC_DEV = 0.15      # last 15% of dev -> validation\n",
    "BATCH_SIZE   = 32\n",
    "EPOCHS       = 100\n",
    "LR           = 0.0001\n",
    "HIDDEN       = 64\n",
    "LAYERS       = 2\n",
    "DROPOUT      = 0.4\n",
    "PATIENCE     = 50\n",
    "\n",
    "\n",
    "df.columns = (\n",
    "    df.columns\n",
    "      .map(lambda c: c.replace(\"\\u00A0\", \" \"))\n",
    "      .map(lambda c: c.strip())\n",
    "      .str.lower()\n",
    "      .str.replace(r\"[^a-z0-9]+\", \"_\", regex=True)\n",
    "      .str.strip(\"_\")\n",
    ")\n",
    "df = df.rename(columns={\"sectoer\": \"sector\"})\n",
    "for col in [\"symbol\",\"date\",\"open\",\"close\"]:\n",
    "    if col not in df.columns:\n",
    "        raise RuntimeError(f\"Missing required column: {col}\")\n",
    "\n",
    "df[\"date\"]  = pd.to_datetime(df[\"date\"], errors=\"coerce\")\n",
    "df[\"open\"]  = pd.to_numeric(df[\"open\"], errors=\"coerce\")\n",
    "df[\"close\"] = pd.to_numeric(df[\"close\"], errors=\"coerce\")\n",
    "df = df.dropna(subset=[\"symbol\",\"date\",\"open\",\"close\"]).sort_values([\"symbol\",\"date\"]).reset_index(drop=True)\n",
    "\n",
    "# ----------------------\n",
    "#Features — log_open, log_close; target — next-day log_close\n",
    "# ----------------------\n",
    "def build_features(g: pd.DataFrame) -> pd.DataFrame:\n",
    "    g = g.sort_values(\"date\").copy()\n",
    "    g[\"log_open\"]  = np.log(g[\"open\"].replace(0, np.nan))\n",
    "    g[\"log_close\"] = np.log(g[\"close\"].replace(0, np.nan))\n",
    "    g[\"y_next_log_close\"] = g[\"log_close\"].shift(-1)\n",
    "    g = g.dropna(subset=[\"log_open\",\"log_close\",\"y_next_log_close\"])\n",
    "    return g\n",
    "\n",
    "df_feat = df.groupby(\"symbol\", group_keys=False).apply(build_features)\n",
    "feature_cols = [\"log_open\",\"log_close\"]\n",
    "target_raw   = \"y_next_log_close\"\n",
    "if df_feat.empty:\n",
    "    raise RuntimeError(\"No rows after feature engineering; check data.\")\n",
    "\n",
    "# ----------------------\n",
    "#Walk-forward split: Train / Val / Test by date\n",
    "# ----------------------\n",
    "cutoff_test = df_feat[\"date\"].quantile(CUT_FRACTION)\n",
    "dev_df  = df_feat[df_feat[\"date\"] <= cutoff_test].copy()\n",
    "test_df = df_feat[df_feat[\"date\"] >  cutoff_test].copy()\n",
    "if dev_df.empty or test_df.empty:\n",
    "    raise RuntimeError(\"Empty dev/test; adjust CUT_FRACTION.\")\n",
    "\n",
    "cutoff_val = dev_df[\"date\"].quantile(1 - VAL_FRAC_DEV)\n",
    "train_df = dev_df[dev_df[\"date\"] <= cutoff_val].copy()\n",
    "val_df   = dev_df[dev_df[\"date\"] >  cutoff_val].copy()\n",
    "if val_df.empty:\n",
    "    raise RuntimeError(\"Empty validation split; adjust VAL_FRAC_DEV.\")\n",
    "\n",
    "# ----------------------\n",
    "#Per-SYMBOL scaling for features AND target\n",
    "#    Fit scalers on TRAIN only; apply to val/test; store per-symbol y mean/std to invert later.\n",
    "# ----------------------\n",
    "x_scalers, y_stats = {}, {}\n",
    "\n",
    "for sym, g in train_df.groupby(\"symbol\"):\n",
    "    xs = StandardScaler().fit(g[feature_cols].values)\n",
    "    x_scalers[sym] = xs\n",
    "    mu = float(g[target_raw].mean())\n",
    "    sd = float(g[target_raw].std())\n",
    "    if not np.isfinite(sd) or sd < 1e-9: sd = 1e-9\n",
    "    y_stats[sym] = (mu, sd)\n",
    "\n",
    "def apply_group_scaling(df_in: pd.DataFrame) -> pd.DataFrame:\n",
    "    df_out = df_in.copy()\n",
    "    df_out[\"y_scaled\"] = np.nan\n",
    "    for sym, g in df_out.groupby(\"symbol\"):\n",
    "        xs = x_scalers.get(sym)\n",
    "        mu, sd = y_stats.get(sym, (float(train_df[target_raw].mean()), float(train_df[target_raw].std())+1e-9))\n",
    "        # features\n",
    "        if xs is not None:\n",
    "            df_out.loc[g.index, feature_cols] = xs.transform(g[feature_cols].values)\n",
    "        # target z-score\n",
    "        df_out.loc[g.index, \"y_scaled\"] = (g[target_raw] - mu) / sd\n",
    "    return df_out\n",
    "\n",
    "train_df = apply_group_scaling(train_df)\n",
    "val_df   = apply_group_scaling(val_df)\n",
    "test_df  = apply_group_scaling(test_df)\n",
    "\n",
    "target_col = \"y_scaled\"  # scaled log-price becomes the supervised target\n",
    "\n",
    "# ----------------------\n",
    "#Sequence builders (seed val/test with prior history)\n",
    "# ----------------------\n",
    "def to_sequences(frame: pd.DataFrame, seq_len: int):\n",
    "    X, y, meta = [], [], []\n",
    "    for sym, g in frame.groupby(\"symbol\"):\n",
    "        g = g.sort_values(\"date\")\n",
    "        F = g[feature_cols].values\n",
    "        Y = g[target_col].values\n",
    "        D = g[\"date\"].values\n",
    "        C = g[\"close\"].values  # last known close (C_t)\n",
    "        for i in range(len(g) - seq_len):\n",
    "            X.append(F[i:i+seq_len])\n",
    "            y.append(Y[i+seq_len-1])\n",
    "            meta.append((sym, D[i+seq_len-1], C[i+seq_len-1]))\n",
    "    if len(X) == 0:\n",
    "        return np.empty((0, seq_len, len(feature_cols))), np.empty((0,1)), []\n",
    "    return np.array(X), np.array(y).reshape(-1,1), meta\n",
    "\n",
    "def to_sequences_seeded(prev_frame: pd.DataFrame, cur_frame: pd.DataFrame, seq_len: int):\n",
    "    X, y, meta = [], [], []\n",
    "    for sym, g_cur in cur_frame.groupby(\"symbol\"):\n",
    "        g_cur  = g_cur.sort_values(\"date\")\n",
    "        g_prev = prev_frame[prev_frame[\"symbol\"] == sym].sort_values(\"date\")\n",
    "        seed   = g_prev.tail(seq_len - 1) if len(g_prev) >= (seq_len - 1) else g_prev\n",
    "        combo  = pd.concat([seed, g_cur], ignore_index=True)\n",
    "\n",
    "        F = combo[feature_cols].values\n",
    "        Y = combo[target_col].values\n",
    "        D = combo[\"date\"].values\n",
    "        C = combo[\"close\"].values\n",
    "        keep_dates = set(pd.to_datetime(g_cur[\"date\"]).tolist())\n",
    "        for i in range(len(combo) - seq_len):\n",
    "            j = i + seq_len - 1\n",
    "            if pd.Timestamp(D[j]) in keep_dates:\n",
    "                X.append(F[i:i+seq_len]); y.append(Y[j]); meta.append((sym, D[j], C[j]))\n",
    "    if len(X) == 0:\n",
    "        return np.empty((0, seq_len, len(feature_cols))), np.empty((0,1)), []\n",
    "    return np.array(X), np.array(y).reshape(-1,1), meta\n",
    "\n",
    "X_train, y_train, meta_train = to_sequences(train_df, SEQ_LEN)\n",
    "X_val,   y_val,   meta_val   = to_sequences_seeded(train_df, val_df, SEQ_LEN)\n",
    "X_test,  y_test,  meta_test  = to_sequences_seeded(pd.concat([train_df, val_df]), test_df, SEQ_LEN)\n",
    "\n",
    "if len(X_train)==0 or len(X_val)==0 or len(X_test)==0:\n",
    "    raise RuntimeError(\"Not enough sequences; reduce SEQ_LEN or adjust split.\")\n",
    "\n",
    "# ----------------------\n",
    "# model\n",
    "# ----------------------\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "class LSTMModel(nn.Module):\n",
    "    def __init__(self, input_size=len(feature_cols), hidden=HIDDEN, layers=LAYERS, dropout=DROPOUT):\n",
    "        super().__init__()\n",
    "        self.lstm = nn.LSTM(input_size, hidden, num_layers=layers, batch_first=True, dropout=dropout)\n",
    "        self.fc   = nn.Linear(hidden, 1)\n",
    "    def forward(self, x):\n",
    "        out, _ = self.lstm(x)\n",
    "        return self.fc(out[:, -1, :])\n",
    "\n",
    "X_train_t = torch.tensor(X_train, dtype=torch.float32).to(device)\n",
    "y_train_t = torch.tensor(y_train, dtype=torch.float32).to(device)\n",
    "X_val_t   = torch.tensor(X_val,   dtype=torch.float32).to(device)\n",
    "y_val_t   = torch.tensor(y_val,   dtype=torch.float32).to(device)\n",
    "X_test_t  = torch.tensor(X_test,  dtype=torch.float32).to(device)\n",
    "y_test_t  = torch.tensor(y_test,  dtype=torch.float32).to(device)\n",
    "\n",
    "model = LSTMModel().to(device)\n",
    "criterion = nn.HuberLoss(delta=1.0)\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=LR)\n",
    "\n",
    "train_loader = DataLoader(TensorDataset(X_train_t, y_train_t), batch_size=BATCH_SIZE, shuffle=False)\n",
    "\n",
    "# ----------------------\n",
    "#Train + early stopping (track val loss)\n",
    "# ----------------------\n",
    "best_val = float(\"inf\"); bad = 0; best_state = None\n",
    "for epoch in range(1, EPOCHS+1):\n",
    "    model.train()\n",
    "    total = 0.0\n",
    "    for xb, yb in train_loader:\n",
    "        optimizer.zero_grad()\n",
    "        out = model(xb)\n",
    "        loss = criterion(out, yb)\n",
    "        loss.backward(); optimizer.step()\n",
    "        total += loss.item() * xb.size(0)\n",
    "    train_loss = total / len(train_loader.dataset)\n",
    "\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        val_loss = criterion(model(X_val_t), y_val_t).item()\n",
    "\n",
    "    if epoch % 10 == 0:\n",
    "        print(f\"Epoch {epoch}/{EPOCHS}  train: {train_loss:.6f}  val: {val_loss:.6f}\")\n",
    "\n",
    "    if val_loss < best_val - 1e-6:\n",
    "        best_val = val_loss; bad = 0\n",
    "        best_state = {k: v.detach().cpu().clone() for k, v in model.state_dict().items()}\n",
    "    else:\n",
    "        bad += 1\n",
    "        if bad >= PATIENCE:\n",
    "            print(f\"Early stopping at epoch {epoch} (best val={best_val:.6f})\")\n",
    "            break\n",
    "\n",
    "if best_state is not None:\n",
    "    model.load_state_dict({k: v.to(device) for k, v in best_state.items()})\n",
    "\n",
    "\n",
    "def invert_y(meta_list, y_scaled_arr):\n",
    "    \"\"\"Convert scaled outputs back to log-price using per-symbol mu, sd.\"\"\"\n",
    "    y_out = np.zeros_like(y_scaled_arr, dtype=float)\n",
    "    for i, ((sym, _, _), yhat) in enumerate(zip(meta_list, y_scaled_arr.reshape(-1))):\n",
    "        mu, sd = y_stats.get(sym, (0.0, 1.0))\n",
    "        y_out[i] = yhat * sd + mu\n",
    "    return y_out.reshape(-1,1)\n",
    "\n",
    "def _pearson(a, b):\n",
    "    a = np.asarray(a).reshape(-1); b = np.asarray(b).reshape(-1)\n",
    "    if a.std() < 1e-12 or b.std() < 1e-12: return 0.0\n",
    "    return float(np.corrcoef(a, b)[0,1])\n",
    "\n",
    "def _diracc(y_true_ret, y_pred_ret):\n",
    "    return float((np.sign(y_true_ret) == np.sign(y_pred_ret)).mean())\n",
    "\n",
    "def _mase(y_true_ret, y_pred_ret, baseline=\"zero\"):\n",
    "    if baseline == \"zero\":\n",
    "        mae_naive = float(np.mean(np.abs(y_true_ret)))\n",
    "    else:\n",
    "        mae_naive = float(np.mean(np.abs(y_true_ret)))  # (keep zero baseline here)\n",
    "    mae_model = float(mean_absolute_error(y_true_ret, y_pred_ret))\n",
    "    return mae_model / (mae_naive + 1e-12)\n",
    "\n",
    "# ----------------------\n",
    "# Predict (scaled)\n",
    "# ----------------------\n",
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    val_scaled_pred  = model(X_val_t).cpu().numpy()\n",
    "    test_scaled_pred = model(X_test_t).cpu().numpy()\n",
    "\n",
    "# invert to log-price per row\n",
    "y_val_log_pred  = invert_y(meta_val,  val_scaled_pred)\n",
    "y_test_log_pred = invert_y(meta_test, test_scaled_pred)\n",
    "y_val_log_true  = invert_y(meta_val,  y_val)   # invert true label (scaled) as well\n",
    "y_test_log_true = invert_y(meta_test, y_test)\n",
    "\n",
    "# returns: r = log(C_{t+1}) - log(C_t)\n",
    "last_close_val  = np.array([m[2] for m in meta_val]).reshape(-1,1)\n",
    "last_close_test = np.array([m[2] for m in meta_test]).reshape(-1,1)\n",
    "val_ret_true  = y_val_log_true  - np.log(last_close_val)\n",
    "val_ret_pred  = y_val_log_pred  - np.log(last_close_val)\n",
    "test_ret_true = y_test_log_true - np.log(last_close_test)\n",
    "test_ret_pred = y_test_log_pred - np.log(last_close_test)\n",
    "\n",
    "#VAL metrics\n",
    "val_mae_ret = mean_absolute_error(val_ret_true, val_ret_pred)\n",
    "val_corr    = _pearson(val_ret_true, val_ret_pred)\n",
    "val_dir     = _diracc(val_ret_true, val_ret_pred)\n",
    "val_mase    = _mase(val_ret_true,  val_ret_pred, baseline=\"zero\")\n",
    "print(f\"VAL — loss: {best_val:.6f} | MAE_ret: {val_mae_ret:.6f} | Pearson r: {val_corr:.4f} | DirAcc: {val_dir*100:.2f}% | MASE: {val_mase:.3f}\")\n",
    "\n",
    "# TEST metrics\n",
    "test_mae_ret = mean_absolute_error(test_ret_true, test_ret_pred)\n",
    "test_corr    = _pearson(test_ret_true, test_ret_pred)\n",
    "test_dir     = _diracc(test_ret_true, test_ret_pred)\n",
    "test_mase    = _mase(test_ret_true,  test_ret_pred, baseline=\"zero\")\n",
    "print(f\"TEST — MAE_ret: {test_mae_ret:.6f} | Pearson r: {test_corr:.4f} | DirAcc: {test_dir*100:.2f}% | MASE: {test_mase:.3f}\")\n",
    "\n",
    "# ----------------------\n",
    "#Price-level scatter (optional)\n",
    "# ----------------------\n",
    "price_true = np.exp(y_test_log_true)\n",
    "price_pred = np.exp(y_test_log_pred)\n",
    "\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.scatter(price_true, price_pred, s=12, alpha=0.5)\n",
    "mn = float(min(price_true.min(), price_pred.min())); mx = float(max(price_true.max(), price_pred.max()))\n",
    "plt.plot([mn, mx], [mn, mx], linestyle=\"--\")\n",
    "plt.title(\"Predicted vs Actual\")\n",
    "plt.xlabel(\"Actual Close (T+1)\"); plt.ylabel(\"Predicted Close (T+1)\")\n",
    "plt.grid(True); plt.tight_layout(); plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "20fc69b5-5609-46fe-9c91-4380aedc7e22",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seq counts: 2707 391 385\n",
      "Epoch 001 | Train Loss: 0.3949 | Val Loss: 0.3316\n",
      "Epoch 010 | Train Loss: 0.3932 | Val Loss: 0.3305\n",
      "Epoch 020 | Train Loss: 0.3914 | Val Loss: 0.3295\n",
      "Epoch 030 | Train Loss: 0.3897 | Val Loss: 0.3285\n",
      "Epoch 040 | Train Loss: 0.3880 | Val Loss: 0.3277\n",
      "Epoch 050 | Train Loss: 0.3863 | Val Loss: 0.3270\n",
      "Epoch 060 | Train Loss: 0.3847 | Val Loss: 0.3264\n",
      "Epoch 070 | Train Loss: 0.3831 | Val Loss: 0.3258\n",
      "Epoch 080 | Train Loss: 0.3815 | Val Loss: 0.3253\n",
      "Epoch 090 | Train Loss: 0.3799 | Val Loss: 0.3249\n",
      "Epoch 100 | Train Loss: 0.3783 | Val Loss: 0.3246\n",
      "Epoch 110 | Train Loss: 0.3767 | Val Loss: 0.3244\n",
      "Epoch 120 | Train Loss: 0.3751 | Val Loss: 0.3242\n",
      "\n",
      "FINAL METRICS\n",
      "VAL  — MAE: 0.028394 | DirAcc: 82.10%\n",
      "TEST — MAE: 0.026393 | DirAcc: 84.94%\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "\n",
    "\n",
    "HORIZON  = 5\n",
    "SEQ_LEN  = 5\n",
    "EPOCHS   = 120\n",
    "LR       = 0.0001\n",
    "HIDDEN   = 32\n",
    "EMB_DIM  = 8\n",
    "SEED     = 42\n",
    "\n",
    "# Price plotting options\n",
    "PLOT_SYMBOL = None        # e.g., \"2040\" or any symbol string present in your data; None → auto-pick first\n",
    "PLOT_ALL    = False       # True → save one PNG per symbol into ./charts/\n",
    "SAVE_DIR    = \"charts\"    # folder for saved charts when PLOT_ALL=True\n",
    "\n",
    "np.random.seed(SEED)\n",
    "torch.manual_seed(SEED)\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "df.columns = (\n",
    "    df.columns.map(lambda c: c.replace(\"\\u00A0\",\" \").strip())\n",
    "      .str.lower()\n",
    "      .str.replace(r\"[^a-z0-9]+\",\"_\",regex=True)\n",
    "      .str.strip(\"_\")\n",
    ")\n",
    "\n",
    "need = [\"symbol\",\"date\",\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]\n",
    "for c in need:\n",
    "    if c not in df.columns:\n",
    "        raise RuntimeError(f\"Missing required column: {c}\")\n",
    "\n",
    "df[\"date\"] = pd.to_datetime(df[\"date\"], errors=\"coerce\")\n",
    "for c in [\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]:\n",
    "    df[c] = pd.to_numeric(df[c], errors=\"coerce\")\n",
    "\n",
    "def clean_sym(g: pd.DataFrame) -> pd.DataFrame:\n",
    "    g = g.sort_values(\"date\").copy()\n",
    "    g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]] = g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]].ffill()\n",
    "    g[\"open\"]  = g[\"open\"].fillna(g[\"close\"])\n",
    "    g[\"close\"] = g[\"close\"].fillna(g[\"open\"])\n",
    "    ocmax = np.nanmax(g[[\"open\",\"close\"]].values, axis=1)\n",
    "    ocmin = np.nanmin(g[[\"open\",\"close\"]].values, axis=1)\n",
    "    g[\"high\"] = g[\"high\"].fillna(pd.Series(ocmax, index=g.index))\n",
    "    g[\"low\"]  = g[\"low\" ].fillna(pd.Series(ocmin, index=g.index))\n",
    "    g[\"volume\"] = g[\"volume_traded\"].fillna(0)\n",
    "    return g.dropna(subset=[\"close\"])\n",
    "\n",
    "df = (pd.concat([clean_sym(g) for _, g in df.groupby(\"symbol\")], ignore_index=True)\n",
    "        .sort_values([\"symbol\",\"date\"])\n",
    "        .reset_index(drop=True))\n",
    "\n",
    "# --------------------\n",
    "# Features (causal; OHLCV only)\n",
    "# --------------------\n",
    "def build_feats(g: pd.DataFrame):\n",
    "    g = g.sort_values(\"date\").copy()\n",
    "    for c in [\"open\",\"high\",\"low\",\"close\"]:\n",
    "        g[f\"log_{c}\"] = np.log(g[c].clip(lower=1e-6))\n",
    "    g[\"y_ret_next\"] = g[\"log_close\"].shift(-HORIZON) - g[\"log_close\"]\n",
    "\n",
    "    g[\"gap\"]      = g[\"log_open\"] - g[\"log_close\"].shift(1)\n",
    "    g[\"intraday\"] = g[\"log_close\"] - g[\"log_open\"]\n",
    "    g[\"ret_1\"]    = g[\"log_close\"].diff(1)\n",
    "\n",
    "    g[\"ret_lag2\"] = g[\"ret_1\"].shift(1)\n",
    "    g[\"ret_lag3\"] = g[\"ret_1\"].shift(2)\n",
    "    g[\"mom_5\"]    = g[\"ret_1\"].rolling(5,  min_periods=3).mean()\n",
    "    g[\"vol_5\"]    = g[\"ret_1\"].rolling(5,  min_periods=3).std()\n",
    "\n",
    "    g[\"hl_range\"]  = g[\"log_high\"] - g[\"log_low\"]\n",
    "    rng = (g[\"log_high\"] - g[\"log_low\"]).replace(0, np.nan)\n",
    "    g[\"close_pos\"] = (g[\"log_close\"] - g[\"log_low\"]) / (rng + 1e-9)\n",
    "    g[\"upper_shadow\"] = g[\"log_high\"] - np.maximum(g[\"log_close\"], g[\"log_open\"])\n",
    "    g[\"lower_shadow\"] = np.minimum(g[\"log_close\"], g[\"log_open\"]) - g[\"log_low\"]\n",
    "\n",
    "    prev = g[\"log_close\"].shift(1)\n",
    "    tr = np.maximum(\n",
    "        g[\"log_high\"] - g[\"log_low\"],\n",
    "        np.maximum((g[\"log_high\"] - prev).abs(), (g[\"log_low\"] - prev).abs())\n",
    "    )\n",
    "    g[\"atr_5\"]  = tr.rolling(5,  min_periods=3).mean()\n",
    "    g[\"atr_14\"] = tr.rolling(14, min_periods=5).mean()\n",
    "\n",
    "    g[\"log_vol\"]  = np.log(g[\"volume\"].clip(lower=1))\n",
    "    g[\"dlog_vol\"] = g[\"log_vol\"].diff(1)\n",
    "\n",
    "    dow = g[\"date\"].dt.weekday\n",
    "    g[\"dow_sin\"] = np.sin(2*np.pi*dow/7)\n",
    "    g[\"dow_cos\"] = np.cos(2*np.pi*dow/7)\n",
    "\n",
    "    feats = [\n",
    "        \"gap\",\"intraday\",\"ret_1\",\"ret_lag2\",\"ret_lag3\",\"mom_5\",\"vol_5\",\n",
    "        \"hl_range\",\"close_pos\",\"upper_shadow\",\"lower_shadow\",\"atr_5\",\"atr_14\",\n",
    "        \"log_vol\",\"dlog_vol\",\"dow_sin\",\"dow_cos\",\n",
    "    ]\n",
    "    g = g.dropna(subset=[\"y_ret_next\"] + feats).copy()\n",
    "    return g, feats\n",
    "\n",
    "parts, feats = [], None\n",
    "for _, gg in df.groupby(\"symbol\", sort=False):\n",
    "    g2, feats = build_feats(gg)\n",
    "    parts.append(g2)\n",
    "df = pd.concat(parts, ignore_index=True)\n",
    "\n",
    "# --------------------\n",
    "# Time splits (by date)\n",
    "# --------------------\n",
    "cut_test = df[\"date\"].quantile(0.85)\n",
    "dev  = df[df[\"date\"] <= cut_test].copy()\n",
    "test = df[df[\"date\"] >  cut_test].copy()\n",
    "\n",
    "cut_val = dev[\"date\"].quantile(0.85)\n",
    "train = dev[dev[\"date\"] <= cut_val].copy()\n",
    "val   = dev[dev[\"date\"] >  cut_val].copy()\n",
    "\n",
    "# Keep symbols with enough history across splits\n",
    "ok = []\n",
    "for s in df.symbol.unique():\n",
    "    t  = (train.symbol==s).sum()\n",
    "    v  = (val.symbol==s).sum()\n",
    "    te = (test.symbol==s).sum()\n",
    "    if t >= SEQ_LEN+1 and (t+v) >= SEQ_LEN+1 and (t+v+te) >= SEQ_LEN+1:\n",
    "        ok.append(s)\n",
    "train = train[train.symbol.isin(ok)]\n",
    "val   = val[val.symbol.isin(ok)]\n",
    "test  = test[test.symbol.isin(ok)]\n",
    "\n",
    "symbols = df.symbol.drop_duplicates().tolist()\n",
    "s2i = {s:i for i,s in enumerate(symbols)}\n",
    "\n",
    "# --------------------\n",
    "# Scaling\n",
    "# X: per-symbol z-score\n",
    "# y: per-date z-score (rank-style label used for training)\n",
    "# --------------------\n",
    "x_scalers = {}\n",
    "for s, g in train.groupby(\"symbol\"):\n",
    "    x_scalers[s] = StandardScaler().fit(g[feats].values)\n",
    "\n",
    "def apply_scale(fr: pd.DataFrame) -> pd.DataFrame:\n",
    "    fr = fr.copy()\n",
    "    for s, g in fr.groupby(\"symbol\"):\n",
    "        xs = x_scalers.get(s)\n",
    "        if xs is not None:\n",
    "            fr.loc[g.index, feats] = xs.transform(g[feats].values)\n",
    "    fr[\"y_scaled\"] = fr.groupby(\"date\")[\"y_ret_next\"].transform(\n",
    "        lambda s: (s - s.mean()) / (s.std() + 1e-9)\n",
    "    )\n",
    "    return fr\n",
    "\n",
    "train = apply_scale(train)\n",
    "val   = apply_scale(val)\n",
    "test  = apply_scale(test)\n",
    "\n",
    "# Per-date stats (for un-zscoring prediction back to return units)\n",
    "val_stats = (val.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\")\n",
    "               .reset_index().set_index(\"date\"))\n",
    "test_stats = (test.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\")\n",
    "                .reset_index().set_index(\"date\"))\n",
    "val_stats[\"sd\"]  = val_stats[\"sd\"].replace(0, np.nan).fillna(1e-9)\n",
    "test_stats[\"sd\"] = test_stats[\"sd\"].replace(0, np.nan).fillna(1e-9)\n",
    "\n",
    "# --------------------\n",
    "# Sequences (with seeding for val/test)\n",
    "# --------------------\n",
    "def to_seq(fr: pd.DataFrame):\n",
    "    X, Y, S, M = [], [], [], []\n",
    "    for s, g in fr.groupby(\"symbol\"):\n",
    "        g = g.sort_values(\"date\")\n",
    "        F = g[feats].values\n",
    "        Z = g[\"y_scaled\"].values\n",
    "        D = g[\"date\"].values\n",
    "        Lc = g[\"log_close\"].values\n",
    "        for i in range(len(g) - SEQ_LEN):\n",
    "            j = i + SEQ_LEN - 1\n",
    "            X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X:\n",
    "        return np.empty((0, SEQ_LEN, len(feats))), np.empty((0,)), np.empty((0,), int), []\n",
    "    return np.array(X), np.array(Y), np.array(S, int), M\n",
    "\n",
    "def to_seq_seed(prev: pd.DataFrame, cur: pd.DataFrame):\n",
    "    X, Y, S, M = [], [], [], []\n",
    "    for s, gc in cur.groupby(\"symbol\"):\n",
    "        gp = prev[prev.symbol==s].sort_values(\"date\")\n",
    "        seed = gp.tail(SEQ_LEN-1) if len(gp) >= SEQ_LEN-1 else gp\n",
    "        combo = pd.concat([seed, gc], ignore_index=True)\n",
    "        F = combo[feats].values\n",
    "        Z = combo[\"y_scaled\"].values\n",
    "        D = combo[\"date\"].values\n",
    "        Lc = combo[\"log_close\"].values\n",
    "        keep = set(pd.to_datetime(gc.date))\n",
    "        for i in range(len(combo) - SEQ_LEN):\n",
    "            j = i + SEQ_LEN - 1\n",
    "            if pd.Timestamp(D[j]) in keep:\n",
    "                X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X:\n",
    "        return np.empty((0, SEQ_LEN, len(feats))), np.empty((0,)), np.empty((0,), int), []\n",
    "    return np.array(X), np.array(Y), np.array(S, int), M\n",
    "\n",
    "Xtr, ytr, stri, mtr = to_seq(train)\n",
    "Xv,  yv,  sv,   mv  = to_seq_seed(train, val)\n",
    "Xt,  yt,  st,   mt  = to_seq_seed(pd.concat([train, val]), test)\n",
    "\n",
    "assert len(Xtr)>0 and len(Xv)>0 and len(Xt)>0, \"No sequences — try SEQ_LEN=3 or increase train size.\"\n",
    "print(\"Seq counts:\", len(Xtr), len(Xv), len(Xt))\n",
    "\n",
    "# --------------------\n",
    "# Model\n",
    "# --------------------\n",
    "class TinyLSTM(nn.Module):\n",
    "    def __init__(self, fdim: int, nsyms: int, hidden: int = HIDDEN, emb: int = EMB_DIM):\n",
    "        super().__init__()\n",
    "        self.emb = nn.Embedding(nsyms, emb)\n",
    "        self.lstm = nn.LSTM(fdim + emb, hidden, batch_first=True)\n",
    "        self.fc = nn.Linear(hidden, 1)\n",
    "    def forward(self, x, sidx):\n",
    "        e = self.emb(sidx).unsqueeze(1).repeat(1, x.size(1), 1)\n",
    "        z, _ = self.lstm(torch.cat([x, e], dim=-1))\n",
    "        return self.fc(z[:, -1, :]).squeeze(-1)\n",
    "\n",
    "# tensors\n",
    "Xtr = torch.tensor(Xtr, dtype=torch.float32, device=device)\n",
    "Xv  = torch.tensor(Xv,  dtype=torch.float32, device=device)\n",
    "Xt  = torch.tensor(Xt,  dtype=torch.float32, device=device)\n",
    "ytr = torch.tensor(ytr, dtype=torch.float32, device=device)\n",
    "yv  = torch.tensor(yv,  dtype=torch.float32, device=device)\n",
    "yt  = torch.tensor(yt,  dtype=torch.float32, device=device)\n",
    "stri= torch.tensor(stri,dtype=torch.long,   device=device)\n",
    "sv  = torch.tensor(sv,  dtype=torch.long,   device=device)\n",
    "st  = torch.tensor(st,  dtype=torch.long,   device=device)\n",
    "\n",
    "model = TinyLSTM(len(feats), nsyms=len(symbols)).to(device)\n",
    "opt   = torch.optim.Adam(model.parameters(), lr=LR)\n",
    "crit  = nn.HuberLoss(delta=1.0)\n",
    "\n",
    "# --------------------\n",
    "# Train (log train/val loss every epoch)\n",
    "# --------------------\n",
    "train_losses, val_losses = [], []\n",
    "for ep in range(1, EPOCHS+1):\n",
    "    model.train()\n",
    "    perm = torch.randperm(Xtr.size(0), device=device)\n",
    "    xb, yb, sb = Xtr[perm], ytr[perm], stri[perm]\n",
    "    pred = model(xb, sb)\n",
    "    loss = crit(pred, yb)\n",
    "    opt.zero_grad()\n",
    "    loss.backward()\n",
    "    nn.utils.clip_grad_norm_(model.parameters(), 1.0)\n",
    "    opt.step()\n",
    "\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        vp = model(Xv, sv)\n",
    "        vl = crit(vp, yv).item()\n",
    "\n",
    "    train_losses.append(float(loss.item()))\n",
    "    val_losses.append(float(vl))\n",
    "    if ep % 10 == 0 or ep == 1 or ep == EPOCHS:\n",
    "        print(f\"Epoch {ep:03d} | Train Loss: {loss.item():.4f} | Val Loss: {vl:.4f}\")\n",
    "\n",
    "# --------------------\n",
    "# Predictions\n",
    "# --------------------\n",
    "with torch.no_grad():\n",
    "    v_hat = model(Xv, sv).detach().cpu().numpy()\n",
    "    t_hat = model(Xt, st).detach().cpu().numpy()\n",
    "val_true_z  = yv.detach().cpu().numpy()\n",
    "test_true_z = yt.detach().cpu().numpy()\n",
    "\n",
    "# --------------------\n",
    "# Convert z-preds to returns using per-date stats\n",
    "# --------------------\n",
    "def unzscore(meta, z, stats_df):\n",
    "    dts = pd.to_datetime([d for (_, d, _) in meta])\n",
    "    stats = stats_df.reindex(dts)\n",
    "    mu = stats[\"mu\"].to_numpy()\n",
    "    sd = stats[\"sd\"].to_numpy()\n",
    "    return z * sd + mu\n",
    "\n",
    "def true_returns_from_meta(meta, frame):\n",
    "    sub = frame[[\"symbol\",\"date\",\"y_ret_next\"]].copy()\n",
    "    m = {(r.symbol, pd.Timestamp(r.date)): float(r.y_ret_next) for r in sub.itertuples(index=False)}\n",
    "    return np.array([m.get((s, pd.Timestamp(d)), np.nan) for (s, d, _) in meta], dtype=float)\n",
    "\n",
    "val_pred_r  = unzscore(mv, v_hat, val_stats)\n",
    "test_pred_r = unzscore(mt, t_hat, test_stats)\n",
    "val_true_r  = true_returns_from_meta(mv, val)\n",
    "test_true_r = true_returns_from_meta(mt, test)\n",
    "\n",
    "mask_v = ~np.isnan(val_true_r)\n",
    "mask_t = ~np.isnan(test_true_r)\n",
    "val_true_r,  val_pred_r  = val_true_r[mask_v],  val_pred_r[mask_v]\n",
    "test_true_r, test_pred_r = test_true_r[mask_t], test_pred_r[mask_t]\n",
    "\n",
    "# --------------------\n",
    "# Metrics: MAE & Directional Accuracy (returns)\n",
    "# --------------------\n",
    "def diracc(y, p) -> float:\n",
    "    return float((np.sign(y) == np.sign(p)).mean())\n",
    "\n",
    "val_mae = mean_absolute_error(val_true_r, val_pred_r)\n",
    "test_mae= mean_absolute_error(test_true_r, test_pred_r)\n",
    "val_da  = diracc(val_true_r, val_pred_r)\n",
    "test_da = diracc(test_true_r, test_pred_r)\n",
    "\n",
    "print(\"\\nFINAL METRICS\")\n",
    "print(f\"VAL  — MAE: {val_mae:.6f} | DirAcc: {val_da:.2%}\")\n",
    "print(f\"TEST — MAE: {test_mae:.6f} | DirAcc: {test_da:.2%}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "00c9c515-de82-4018-92db-c9bcad0bc24f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seq counts: 1727 391 385\n",
      "Epoch 001 | Train Loss: 1.1976 | Val Loss: 1.2137\n",
      "Epoch 010 | Train Loss: 0.9686 | Val Loss: 1.0020\n",
      "Epoch 020 | Train Loss: 0.8780 | Val Loss: 1.0127\n",
      "Epoch 030 | Train Loss: 0.8176 | Val Loss: 1.1000\n",
      "Epoch 040 | Train Loss: 0.7692 | Val Loss: 1.1395\n",
      "Epoch 050 | Train Loss: 0.7207 | Val Loss: 1.1988\n",
      "Epoch 060 | Train Loss: 0.6685 | Val Loss: 1.2290\n",
      "Epoch 070 | Train Loss: 0.6139 | Val Loss: 1.3098\n",
      "Epoch 080 | Train Loss: 0.5584 | Val Loss: 1.4033\n",
      "Epoch 090 | Train Loss: 0.5031 | Val Loss: 1.5034\n",
      "Epoch 100 | Train Loss: 0.4511 | Val Loss: 1.5918\n",
      "Epoch 110 | Train Loss: 0.4032 | Val Loss: 1.6764\n",
      "Epoch 120 | Train Loss: 0.3582 | Val Loss: 1.7014\n",
      "Epoch 130 | Train Loss: 0.3150 | Val Loss: 1.7057\n",
      "Epoch 140 | Train Loss: 0.2741 | Val Loss: 1.7022\n",
      "Epoch 150 | Train Loss: 0.2371 | Val Loss: 1.7112\n",
      "Epoch 160 | Train Loss: 0.2048 | Val Loss: 1.7265\n",
      "Epoch 170 | Train Loss: 0.1778 | Val Loss: 1.7538\n",
      "Epoch 180 | Train Loss: 0.1553 | Val Loss: 1.8159\n",
      "Epoch 190 | Train Loss: 0.1367 | Val Loss: 1.8854\n",
      "Epoch 200 | Train Loss: 0.1212 | Val Loss: 1.9535\n",
      "Calibration (z): y ≈ 0.302 * pred + -0.231\n",
      "\n",
      "FINAL METRICS\n",
      "VAL  — MAE: 0.027314 | DirAcc: 81.33%\n",
      "TEST — MAE: 0.029031 | DirAcc: 80.26%\n",
      "VAL true (z)   y: mean=-0.0005, std=0.9987, min=-2.9839, max=+7.9441\n",
      "VAL pred (z)   p: mean=+0.7637, std=0.9692, min=-1.6963, max=+3.7374\n",
      "VAL predCAL(z) p*: mean=-0.0005, std=0.2926, min=-0.7431, max=+0.8972\n",
      "TEST true (z)  y: mean=-0.0000, std=0.9987, min=-3.8589, max=+5.3403\n",
      "TEST pred (z)  p: mean=+1.3759, std=1.0708, min=-1.4450, max=+4.2837\n",
      "TEST predCAL(z) p*: mean=+0.1843, std=0.3233, min=-0.6673, max=+1.0621\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "\n",
    "\n",
    "HORIZON  = 5\n",
    "SEQ_LEN  = 10\n",
    "EPOCHS   = 200\n",
    "LR       = 0.0004\n",
    "HIDDEN   = 64\n",
    "EMB_DIM  = 8\n",
    "SEED     = 42\n",
    "\n",
    "# Price plotting\n",
    "PLOT_SYMBOL = None       # e.g., \"1010\" or None to auto-pick\n",
    "PLOT_ALL    = False\n",
    "SAVE_DIR    = \"charts\"\n",
    "\n",
    "np.random.seed(SEED); torch.manual_seed(SEED)\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "\n",
    "df.columns = (df.columns.map(lambda c: c.replace(\"\\u00A0\",\" \").strip())\n",
    "              .str.lower().str.replace(r\"[^a-z0-9]+\",\"_\",regex=True).str.strip(\"_\"))\n",
    "need = [\"symbol\",\"date\",\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]\n",
    "for c in need:\n",
    "    if c not in df.columns: raise RuntimeError(f\"Missing col: {c}\")\n",
    "df[\"date\"]=pd.to_datetime(df[\"date\"],errors=\"coerce\")\n",
    "for c in [\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]:\n",
    "    df[c]=pd.to_numeric(df[c],errors=\"coerce\")\n",
    "\n",
    "def clean_sym(g):\n",
    "    g=g.sort_values(\"date\").copy()\n",
    "    g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]] = g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]].ffill()\n",
    "    g[\"open\"]=g[\"open\"].fillna(g[\"close\"]); g[\"close\"]=g[\"close\"].fillna(g[\"open\"])\n",
    "    ocmax=np.nanmax(g[[\"open\",\"close\"]].values,axis=1); ocmin=np.nanmin(g[[\"open\",\"close\"]].values,axis=1)\n",
    "    g[\"high\"]=g[\"high\"].fillna(pd.Series(ocmax,index=g.index))\n",
    "    g[\"low\"] =g[\"low\" ].fillna(pd.Series(ocmin,index=g.index))\n",
    "    g[\"volume\"]=g[\"volume_traded\"].fillna(0)\n",
    "    return g.dropna(subset=[\"close\"])\n",
    "df = pd.concat([clean_sym(g) for _,g in df.groupby(\"symbol\")],ignore_index=True)\\\n",
    "       .sort_values([\"symbol\",\"date\"]).reset_index(drop=True)\n",
    "\n",
    "# --------------------\n",
    "# Features\n",
    "# --------------------\n",
    "def build_feats(g):\n",
    "    g=g.sort_values(\"date\").copy()\n",
    "    for c in [\"open\",\"high\",\"low\",\"close\"]:\n",
    "        g[f\"log_{c}\"]=np.log(g[c].clip(lower=1e-6))\n",
    "    g[\"y_ret_next\"]=g[\"log_close\"].shift(-HORIZON)-g[\"log_close\"]\n",
    "    g[\"gap\"]=g[\"log_open\"]-g[\"log_close\"].shift(1)\n",
    "    g[\"intraday\"]=g[\"log_close\"]-g[\"log_open\"]\n",
    "    g[\"ret_1\"]=g[\"log_close\"].diff(1)\n",
    "    g[\"ret_lag2\"]=g[\"ret_1\"].shift(1); g[\"ret_lag3\"]=g[\"ret_1\"].shift(2)\n",
    "    g[\"mom_5\"]=g[\"ret_1\"].rolling(5,min_periods=3).mean()\n",
    "    g[\"vol_5\"]=g[\"ret_1\"].rolling(5,min_periods=3).std()\n",
    "    g[\"hl_range\"]=g[\"log_high\"]-g[\"log_low\"]\n",
    "    rng=(g[\"log_high\"]-g[\"log_low\"]).replace(0,np.nan)\n",
    "    g[\"close_pos\"]=(g[\"log_close\"]-g[\"log_low\"])/(rng+1e-9)\n",
    "    g[\"upper_shadow\"]=g[\"log_high\"]-np.maximum(g[\"log_close\"],g[\"log_open\"])\n",
    "    g[\"lower_shadow\"]=np.minimum(g[\"log_close\"],g[\"log_open\"])-g[\"log_low\"]\n",
    "    prev=g[\"log_close\"].shift(1)\n",
    "    tr=np.maximum(g[\"log_high\"]-g[\"log_low\"], np.maximum((g[\"log_high\"]-prev).abs(),(g[\"log_low\"]-prev).abs()))\n",
    "    g[\"atr_5\"]=tr.rolling(5,min_periods=3).mean(); g[\"atr_14\"]=tr.rolling(14,min_periods=5).mean()\n",
    "    g[\"log_vol\"]=np.log(g[\"volume\"].clip(lower=1)); g[\"dlog_vol\"]=g[\"log_vol\"].diff(1)\n",
    "    dow=g[\"date\"].dt.weekday; g[\"dow_sin\"]=np.sin(2*np.pi*dow/7); g[\"dow_cos\"]=np.cos(2*np.pi*dow/7)\n",
    "    feats=[\"gap\",\"intraday\",\"ret_1\",\"ret_lag2\",\"ret_lag3\",\"mom_5\",\"vol_5\",\n",
    "           \"hl_range\",\"close_pos\",\"upper_shadow\",\"lower_shadow\",\"atr_5\",\"atr_14\",\n",
    "           \"log_vol\",\"dlog_vol\",\"dow_sin\",\"dow_cos\"]\n",
    "    g=g.dropna(subset=[\"y_ret_next\"]+feats).copy()\n",
    "    return g, feats\n",
    "\n",
    "parts=[]; feats=None\n",
    "for _,g in df.groupby(\"symbol\",sort=False):\n",
    "    gg, feats = build_feats(g); parts.append(gg)\n",
    "df = pd.concat(parts, ignore_index=True)\n",
    "\n",
    "# --------------------\n",
    "# Splits (by date)\n",
    "# --------------------\n",
    "cut_test = df[\"date\"].quantile(0.85)\n",
    "dev = df[df[\"date\"]<=cut_test].copy(); test = df[df[\"date\"]>cut_test].copy()\n",
    "cut_val = dev[\"date\"].quantile(0.85)\n",
    "train = dev[dev[\"date\"]<=cut_val].copy(); val = dev[dev[\"date\"]>cut_val].copy()\n",
    "\n",
    "# keep symbols with enough history\n",
    "ok=[]\n",
    "for s in df.symbol.unique():\n",
    "    t=(train.symbol==s).sum(); v=(val.symbol==s).sum(); te=(test.symbol==s).sum()\n",
    "    if t>=SEQ_LEN+1 and (t+v)>=SEQ_LEN+1 and (t+v+te)>=SEQ_LEN+1: ok.append(s)\n",
    "train=train[train.symbol.isin(ok)]; val=val[val.symbol.isin(ok)]; test=test[test.symbol.isin(ok)]\n",
    "symbols=df.symbol.drop_duplicates().tolist(); s2i={s:i for i,s in enumerate(symbols)}\n",
    "\n",
    "# --------------------\n",
    "# Scaling\n",
    "# --------------------\n",
    "scalers={}\n",
    "for s,g in train.groupby(\"symbol\"):\n",
    "    scalers[s]=StandardScaler().fit(g[feats].values)\n",
    "\n",
    "def apply_scale(fr):\n",
    "    fr=fr.copy()\n",
    "    for s,g in fr.groupby(\"symbol\"):\n",
    "        xs=scalers.get(s)\n",
    "        if xs is not None:\n",
    "            fr.loc[g.index,feats]=xs.transform(g[feats].values)\n",
    "    fr[\"y_scaled\"]=fr.groupby(\"date\")[\"y_ret_next\"].transform(lambda s:(s-s.mean())/(s.std()+1e-9))\n",
    "    return fr\n",
    "\n",
    "train=apply_scale(train); val=apply_scale(val); test=apply_scale(test)\n",
    "\n",
    "# per-date stats for un-zscoring\n",
    "val_stats  = (val.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\").reset_index().set_index(\"date\"))\n",
    "test_stats = (test.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\").reset_index().set_index(\"date\"))\n",
    "val_stats[\"sd\"]=val_stats[\"sd\"].replace(0,np.nan).fillna(1e-9)\n",
    "test_stats[\"sd\"]=test_stats[\"sd\"].replace(0,np.nan).fillna(1e-9)\n",
    "\n",
    "# --------------------\n",
    "# Sequences (with seeding)\n",
    "# --------------------\n",
    "def to_seq(fr):\n",
    "    X,Y,S,M=[],[],[],[]\n",
    "    for s,g in fr.groupby(\"symbol\"):\n",
    "        g=g.sort_values(\"date\")\n",
    "        F=g[feats].values; Z=g[\"y_scaled\"].values; D=g[\"date\"].values; Lc=g[\"log_close\"].values\n",
    "        for i in range(len(g)-SEQ_LEN):\n",
    "            j=i+SEQ_LEN-1\n",
    "            X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X: return np.empty((0,SEQ_LEN,len(feats))), np.empty((0,)), np.empty((0,),int), []\n",
    "    return np.array(X), np.array(Y), np.array(S,int), M\n",
    "\n",
    "def to_seq_seed(prev,cur):\n",
    "    X,Y,S,M=[],[],[],[]\n",
    "    for s,gc in cur.groupby(\"symbol\"):\n",
    "        gp=prev[prev.symbol==s].sort_values(\"date\"); seed=gp.tail(SEQ_LEN-1) if len(gp)>=SEQ_LEN-1 else gp\n",
    "        combo=pd.concat([seed,gc],ignore_index=True)\n",
    "        F=combo[feats].values; Z=combo[\"y_scaled\"].values; D=combo[\"date\"].values; Lc=combo[\"log_close\"].values\n",
    "        keep=set(pd.to_datetime(gc.date))\n",
    "        for i in range(len(combo)-SEQ_LEN):\n",
    "            j=i+SEQ_LEN-1\n",
    "            if pd.Timestamp(D[j]) in keep:\n",
    "                X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X: return np.empty((0,SEQ_LEN,len(feats))), np.empty((0,)), np.empty((0,),int), []\n",
    "    return np.array(X), np.array(Y), np.array(S,int), M\n",
    "\n",
    "Xtr,ytr,stri,mtr = to_seq(train)\n",
    "Xv,yv,sv,mv      = to_seq_seed(train,val)\n",
    "Xt,yt,st,mt      = to_seq_seed(pd.concat([train,val]),test)\n",
    "\n",
    "assert len(Xtr)>0 and len(Xv)>0 and len(Xt)>0, \"No sequences — try SEQ_LEN=10 or increase train size.\"\n",
    "print(\"Seq counts:\", len(Xtr), len(Xv), len(Xt))\n",
    "\n",
    "# --------------------\n",
    "# Model (nonlinear head)\n",
    "# --------------------\n",
    "class TinyLSTM(nn.Module):\n",
    "    def __init__(self, fdim, nsyms, hidden=HIDDEN, emb=EMB_DIM):\n",
    "        super().__init__()\n",
    "        self.emb  = nn.Embedding(nsyms, emb)\n",
    "        self.lstm = nn.LSTM(fdim+emb, hidden, batch_first=True)\n",
    "        self.head = nn.Sequential(\n",
    "            nn.LayerNorm(hidden),\n",
    "            nn.Linear(hidden, hidden//2),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(hidden//2, 1)\n",
    "        )\n",
    "    def forward(self, x, sidx):\n",
    "        e=self.emb(sidx).unsqueeze(1).repeat(1,x.size(1),1)\n",
    "        z,_=self.lstm(torch.cat([x,e],dim=-1))\n",
    "        return self.head(z[:,-1,:]).squeeze(-1)\n",
    "\n",
    "# tensors\n",
    "Xtr=torch.tensor(Xtr,dtype=torch.float32,device=device)\n",
    "Xv =torch.tensor(Xv ,dtype=torch.float32,device=device)\n",
    "Xt =torch.tensor(Xt ,dtype=torch.float32,device=device)\n",
    "ytr=torch.tensor(ytr,dtype=torch.float32,device=device)\n",
    "yv =torch.tensor(yv ,dtype=torch.float32,device=device)\n",
    "yt =torch.tensor(yt ,dtype=torch.float32,device=device)\n",
    "stri=torch.tensor(stri,dtype=torch.long,device=device)\n",
    "sv  =torch.tensor(sv  ,dtype=torch.long,device=device)\n",
    "st  =torch.tensor(st  ,dtype=torch.long,device=device)\n",
    "\n",
    "model=TinyLSTM(len(feats), nsyms=len(symbols)).to(device)\n",
    "opt=torch.optim.Adam(model.parameters(), lr=LR)\n",
    "crit=nn.MSELoss()\n",
    "\n",
    "# --------------------\n",
    "# Train (log losses)\n",
    "# --------------------\n",
    "train_losses, val_losses = [], []\n",
    "for ep in range(1,EPOCHS+1):\n",
    "    model.train()\n",
    "    perm=torch.randperm(Xtr.size(0), device=device)\n",
    "    xb, yb, sb = Xtr[perm], ytr[perm], stri[perm]\n",
    "    pred=model(xb,sb); loss=crit(pred, yb)\n",
    "    opt.zero_grad(); loss.backward(); nn.utils.clip_grad_norm_(model.parameters(),1.0); opt.step()\n",
    "\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        vp=model(Xv,sv); vl=crit(vp,yv).item()\n",
    "\n",
    "    train_losses.append(float(loss.item())); val_losses.append(float(vl))\n",
    "    if ep % 10 == 0 or ep == 1 or ep == EPOCHS:\n",
    "        print(f\"Epoch {ep:03d} | Train Loss: {loss.item():.4f} | Val Loss: {vl:.4f}\")\n",
    "\n",
    "# --------------------\n",
    "# Predictions (z-space)\n",
    "# --------------------\n",
    "with torch.no_grad():\n",
    "    v_hat = model(Xv,sv).detach().cpu().numpy()\n",
    "    t_hat = model(Xt,st).detach().cpu().numpy()\n",
    "val_true_z  = yv.detach().cpu().numpy()\n",
    "test_true_z = yt.detach().cpu().numpy()\n",
    "\n",
    "# --------------------\n",
    "# Calibration (z-space): y ≈ a*pred + b\n",
    "# --------------------\n",
    "X = np.vstack([v_hat, np.ones_like(v_hat)]).T\n",
    "a, b = np.linalg.lstsq(X, val_true_z, rcond=None)[0]\n",
    "print(f\"Calibration (z): y ≈ {a:.3f} * pred + {b:.3f}\")\n",
    "v_hat_cal = a*v_hat + b\n",
    "t_hat_cal = a*t_hat + b\n",
    "\n",
    "# --------------------\n",
    "# Un-zscore to returns\n",
    "# --------------------\n",
    "def unzscore(meta, z, stats_df):\n",
    "    dts = pd.to_datetime([d for (_,d,_) in meta])\n",
    "    stats = stats_df.reindex(dts)\n",
    "    mu = stats[\"mu\"].to_numpy(); sd = stats[\"sd\"].to_numpy()\n",
    "    return z*sd + mu\n",
    "\n",
    "def true_returns_from_meta(meta, frame):\n",
    "    m = {(r.symbol, pd.Timestamp(r.date)): float(r.y_ret_next)\n",
    "         for r in frame[[\"symbol\",\"date\",\"y_ret_next\"]].itertuples(index=False)}\n",
    "    return np.array([m.get((s, pd.Timestamp(d)), np.nan) for (s,d,_) in meta], dtype=float)\n",
    "\n",
    "val_pred_r  = unzscore(mv, v_hat_cal, val_stats)\n",
    "test_pred_r = unzscore(mt, t_hat_cal, test_stats)\n",
    "val_true_r  = true_returns_from_meta(mv, val)\n",
    "test_true_r = true_returns_from_meta(mt, test)\n",
    "\n",
    "mask_v = ~np.isnan(val_true_r); mask_t = ~np.isnan(test_true_r)\n",
    "val_true_r,  val_pred_r  = val_true_r[mask_v],  val_pred_r[mask_v]\n",
    "test_true_r, test_pred_r = test_true_r[mask_t], test_pred_r[mask_t]\n",
    "\n",
    "# --------------------\n",
    "# Metrics\n",
    "# --------------------\n",
    "def diracc(y,p): return float((np.sign(y)==np.sign(p)).mean())\n",
    "val_mae = mean_absolute_error(val_true_r, val_pred_r)\n",
    "test_mae= mean_absolute_error(test_true_r, test_pred_r)\n",
    "val_da  = diracc(val_true_r, val_pred_r)\n",
    "test_da = diracc(test_true_r, test_pred_r)\n",
    "\n",
    "print(\"\\nFINAL METRICS\")\n",
    "print(f\"VAL  — MAE: {val_mae:.6f} | DirAcc: {val_da:.2%}\")\n",
    "print(f\"TEST — MAE: {test_mae:.6f} | DirAcc: {test_da:.2%}\")\n",
    "\n",
    "# Diagnostics (see variance)\n",
    "def stat(name,y): return f\"{name}: mean={np.mean(y):+.4f}, std={np.std(y):.4f}, min={np.min(y):+.4f}, max={np.max(y):+.4f}\"\n",
    "print(\"VAL true (z)  \", stat(\"y\", val_true_z))\n",
    "print(\"VAL pred (z)  \", stat(\"p\", v_hat))\n",
    "print(\"VAL predCAL(z)\", stat(\"p*\", v_hat_cal))\n",
    "print(\"TEST true (z) \", stat(\"y\", test_true_z))\n",
    "print(\"TEST pred (z) \", stat(\"p\", t_hat))\n",
    "print(\"TEST predCAL(z)\", stat(\"p*\", t_hat_cal))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "3122500d-eef0-47ee-a00c-a5df02a7119c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seq counts: 1727 391 385\n",
      "Epoch 001 | Train Loss: 1.1976 | Val Loss: 1.2137\n",
      "Epoch 010 | Train Loss: 0.9686 | Val Loss: 1.0020\n",
      "Epoch 020 | Train Loss: 0.8780 | Val Loss: 1.0127\n",
      "Epoch 030 | Train Loss: 0.8176 | Val Loss: 1.1000\n",
      "Early stopping at epoch 34 (best val=0.9920)\n",
      "Calibration (z): y ≈ 0.721*pred + -0.063\n",
      "\n",
      "FINAL METRICS\n",
      "VAL  — MAE: 0.028129 | DirAcc: 82.10%\n",
      "TEST — MAE: 0.026811 | DirAcc: 84.94%\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "from collections import Counter\n",
    "\n",
    "\n",
    "HORIZON  = 5\n",
    "SEQ_LEN  = 10\n",
    "EPOCHS   = 200\n",
    "LR       = 0.0004\n",
    "HIDDEN   = 64\n",
    "EMB_DIM  = 8\n",
    "SEED     = 42\n",
    "PATIENCE = 20\n",
    "\n",
    "# plotting\n",
    "PLOT_SYMBOL = None   # None -> auto pick most frequent in test\n",
    "PLOT_ALL    = False\n",
    "SAVE_DIR    = \"charts\"\n",
    "\n",
    "np.random.seed(SEED); torch.manual_seed(SEED)\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "# --------------------\n",
    "# Load & clean\n",
    "# --------------------\n",
    "df = pd.read_csv(CSV_PATH)\n",
    "df.columns = (df.columns.map(lambda c: c.replace(\"\\u00A0\",\" \").strip())\n",
    "              .str.lower().str.replace(r\"[^a-z0-9]+\",\"_\",regex=True).str.strip(\"_\"))\n",
    "need = [\"symbol\",\"date\",\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]\n",
    "for c in need:\n",
    "    if c not in df.columns: raise RuntimeError(f\"Missing col: {c}\")\n",
    "df[\"date\"]=pd.to_datetime(df[\"date\"],errors=\"coerce\")\n",
    "for c in [\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]:\n",
    "    df[c]=pd.to_numeric(df[c],errors=\"coerce\")\n",
    "\n",
    "def clean_sym(g):\n",
    "    g=g.sort_values(\"date\").copy()\n",
    "    g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]] = g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]].ffill()\n",
    "    g[\"open\"]=g[\"open\"].fillna(g[\"close\"]); g[\"close\"]=g[\"close\"].fillna(g[\"open\"])\n",
    "    ocmax=np.nanmax(g[[\"open\",\"close\"]].values,axis=1); ocmin=np.nanmin(g[[\"open\",\"close\"]].values,axis=1)\n",
    "    g[\"high\"]=g[\"high\"].fillna(pd.Series(ocmax,index=g.index))\n",
    "    g[\"low\"] =g[\"low\" ].fillna(pd.Series(ocmin,index=g.index))\n",
    "    g[\"volume\"]=g[\"volume_traded\"].fillna(0)\n",
    "    return g.dropna(subset=[\"close\"])\n",
    "\n",
    "df = (pd.concat([clean_sym(g) for _,g in df.groupby(\"symbol\")], ignore_index=True)\n",
    "        .sort_values([\"symbol\",\"date\"]).reset_index(drop=True))\n",
    "\n",
    "# --------------------\n",
    "# Features\n",
    "# --------------------\n",
    "def build_feats(g):\n",
    "    g=g.sort_values(\"date\").copy()\n",
    "    for c in [\"open\",\"high\",\"low\",\"close\"]:\n",
    "        g[f\"log_{c}\"]=np.log(g[c].clip(lower=1e-6))\n",
    "    g[\"y_ret_next\"]=g[\"log_close\"].shift(-HORIZON)-g[\"log_close\"]\n",
    "    g[\"gap\"]=g[\"log_open\"]-g[\"log_close\"].shift(1)\n",
    "    g[\"intraday\"]=g[\"log_close\"]-g[\"log_open\"]\n",
    "    g[\"ret_1\"]=g[\"log_close\"].diff(1)\n",
    "    g[\"ret_lag2\"]=g[\"ret_1\"].shift(1); g[\"ret_lag3\"]=g[\"ret_1\"].shift(2)\n",
    "    g[\"mom_5\"]=g[\"ret_1\"].rolling(5,min_periods=3).mean()\n",
    "    g[\"vol_5\"]=g[\"ret_1\"].rolling(5,min_periods=3).std()\n",
    "    g[\"hl_range\"]=g[\"log_high\"]-g[\"log_low\"]\n",
    "    rng=(g[\"log_high\"]-g[\"log_low\"]).replace(0,np.nan)\n",
    "    g[\"close_pos\"]=(g[\"log_close\"]-g[\"log_low\"])/(rng+1e-9)\n",
    "    g[\"upper_shadow\"]=g[\"log_high\"]-np.maximum(g[\"log_close\"],g[\"log_open\"])\n",
    "    g[\"lower_shadow\"]=np.minimum(g[\"log_close\"],g[\"log_open\"])-g[\"log_low\"]\n",
    "    prev=g[\"log_close\"].shift(1)\n",
    "    tr=np.maximum(g[\"log_high\"]-g[\"log_low\"], np.maximum((g[\"log_high\"]-prev).abs(),(g[\"log_low\"]-prev).abs()))\n",
    "    g[\"atr_5\"]=tr.rolling(5,min_periods=3).mean(); g[\"atr_14\"]=tr.rolling(14,min_periods=5).mean()\n",
    "    g[\"log_vol\"]=np.log(g[\"volume\"].clip(lower=1)); g[\"dlog_vol\"]=g[\"log_vol\"].diff(1)\n",
    "    dow=g[\"date\"].dt.weekday; g[\"dow_sin\"]=np.sin(2*np.pi*dow/7); g[\"dow_cos\"]=np.cos(2*np.pi*dow/7)\n",
    "    feats=[\"gap\",\"intraday\",\"ret_1\",\"ret_lag2\",\"ret_lag3\",\"mom_5\",\"vol_5\",\n",
    "           \"hl_range\",\"close_pos\",\"upper_shadow\",\"lower_shadow\",\"atr_5\",\"atr_14\",\n",
    "           \"log_vol\",\"dlog_vol\",\"dow_sin\",\"dow_cos\"]\n",
    "    g=g.dropna(subset=[\"y_ret_next\"]+feats).copy()\n",
    "    return g, feats\n",
    "\n",
    "parts=[]; feats=None\n",
    "for _,g in df.groupby(\"symbol\",sort=False):\n",
    "    gg, feats = build_feats(g); parts.append(gg)\n",
    "df = pd.concat(parts, ignore_index=True)\n",
    "\n",
    "# --------------------\n",
    "# Splits (by date)\n",
    "# --------------------\n",
    "cut_test = df[\"date\"].quantile(0.85)\n",
    "dev = df[df[\"date\"]<=cut_test].copy(); test = df[df[\"date\"]>cut_test].copy()\n",
    "cut_val = dev[\"date\"].quantile(0.85)\n",
    "train = dev[dev[\"date\"]<=cut_val].copy(); val = dev[dev[\"date\"]>cut_val].copy()\n",
    "\n",
    "# keep symbols with enough history\n",
    "ok=[]\n",
    "for s in df.symbol.unique():\n",
    "    t=(train.symbol==s).sum(); v=(val.symbol==s).sum(); te=(test.symbol==s).sum()\n",
    "    if t>=SEQ_LEN+1 and (t+v)>=SEQ_LEN+1 and (t+v+te)>=SEQ_LEN+1: ok.append(s)\n",
    "train=train[train.symbol.isin(ok)]; val=val[val.symbol.isin(ok)]; test=test[test.symbol.isin(ok)]\n",
    "symbols=df.symbol.drop_duplicates().tolist(); s2i={s:i for i,s in enumerate(symbols)}\n",
    "\n",
    "# --------------------\n",
    "# Scaling: per-symbol X; per-date y z-score\n",
    "# --------------------\n",
    "scalers={}\n",
    "for s,g in train.groupby(\"symbol\"):\n",
    "    scalers[s]=StandardScaler().fit(g[feats].values)\n",
    "\n",
    "def apply_scale(fr):\n",
    "    fr=fr.copy()\n",
    "    for s,g in fr.groupby(\"symbol\"):\n",
    "        xs=scalers.get(s)\n",
    "        if xs is not None:\n",
    "            fr.loc[g.index,feats]=xs.transform(g[feats].values)\n",
    "    fr[\"y_scaled\"]=fr.groupby(\"date\")[\"y_ret_next\"].transform(lambda s:(s-s.mean())/(s.std()+1e-9))\n",
    "    return fr\n",
    "\n",
    "train=apply_scale(train); val=apply_scale(val); test=apply_scale(test)\n",
    "\n",
    "# for un-zscoring to returns\n",
    "val_stats  = (val.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\").reset_index().set_index(\"date\"))\n",
    "test_stats = (test.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\").reset_index().set_index(\"date\"))\n",
    "val_stats[\"sd\"]=val_stats[\"sd\"].replace(0,np.nan).fillna(1e-9)\n",
    "test_stats[\"sd\"]=test_stats[\"sd\"].replace(0,np.nan).fillna(1e-9)\n",
    "\n",
    "# --------------------\n",
    "# Sequences (with seeding)\n",
    "# --------------------\n",
    "def to_seq(fr):\n",
    "    X,Y,S,M=[],[],[],[]\n",
    "    for s,g in fr.groupby(\"symbol\"):\n",
    "        g=g.sort_values(\"date\")\n",
    "        F=g[feats].values; Z=g[\"y_scaled\"].values; D=g[\"date\"].values; Lc=g[\"log_close\"].values\n",
    "        for i in range(len(g)-SEQ_LEN):\n",
    "            j=i+SEQ_LEN-1\n",
    "            X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X: return np.empty((0,SEQ_LEN,len(feats))), np.empty((0,)), np.empty((0,),int), []\n",
    "    return np.array(X), np.array(Y), np.array(S,int), M\n",
    "\n",
    "def to_seq_seed(prev,cur):\n",
    "    X,Y,S,M=[],[],[],[]\n",
    "    for s,gc in cur.groupby(\"symbol\"):\n",
    "        gp=prev[prev.symbol==s].sort_values(\"date\"); seed=gp.tail(SEQ_LEN-1) if len(gp)>=SEQ_LEN-1 else gp\n",
    "        combo=pd.concat([seed,gc],ignore_index=True)\n",
    "        F=combo[feats].values; Z=combo[\"y_scaled\"].values; D=combo[\"date\"].values; Lc=combo[\"log_close\"].values\n",
    "        keep=set(pd.to_datetime(gc.date))\n",
    "        for i in range(len(combo)-SEQ_LEN):\n",
    "            j=i+SEQ_LEN-1\n",
    "            if pd.Timestamp(D[j]) in keep:\n",
    "                X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X: return np.empty((0,SEQ_LEN,len(feats))), np.empty((0,)), np.empty((0,),int), []\n",
    "    return np.array(X), np.array(Y).astype(np.float32), np.array(S,int), M\n",
    "\n",
    "Xtr,ytr,stri,mtr = to_seq(train)\n",
    "Xv,yv,sv,mv      = to_seq_seed(train,val)\n",
    "Xt,yt,st,mt      = to_seq_seed(pd.concat([train,val]),test)\n",
    "assert len(Xtr)>0 and len(Xv)>0 and len(Xt)>0, \"No sequences — try SEQ_LEN=10 or increase train size.\"\n",
    "print(\"Seq counts:\", len(Xtr), len(Xv), len(Xt))\n",
    "\n",
    "# --------------------\n",
    "# Model (nonlinear head)\n",
    "# --------------------\n",
    "class TinyLSTM(nn.Module):\n",
    "    def __init__(self, fdim, nsyms, hidden=HIDDEN, emb=EMB_DIM):\n",
    "        super().__init__()\n",
    "        self.emb  = nn.Embedding(nsyms, emb)\n",
    "        self.lstm = nn.LSTM(fdim+emb, hidden, batch_first=True)\n",
    "        self.head = nn.Sequential(\n",
    "            nn.LayerNorm(hidden),\n",
    "            nn.Linear(hidden, hidden//2),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(hidden//2, 1)\n",
    "        )\n",
    "    def forward(self, x, sidx):\n",
    "        e=self.emb(sidx).unsqueeze(1).repeat(1,x.size(1),1)\n",
    "        z,_=self.lstm(torch.cat([x,e],dim=-1))\n",
    "        return self.head(z[:,-1,:]).squeeze(-1)\n",
    "\n",
    "# tensors\n",
    "Xtr=torch.tensor(Xtr,dtype=torch.float32,device=device)\n",
    "Xv =torch.tensor(Xv ,dtype=torch.float32,device=device)\n",
    "Xt =torch.tensor(Xt ,dtype=torch.float32,device=device)\n",
    "ytr=torch.tensor(ytr,dtype=torch.float32,device=device)\n",
    "yv =torch.tensor(yv ,dtype=torch.float32,device=device)\n",
    "yt =torch.tensor(yt ,dtype=torch.float32,device=device)\n",
    "stri=torch.tensor(stri,dtype=torch.long,device=device)\n",
    "sv  =torch.tensor(sv  ,dtype=torch.long,device=device)\n",
    "st  =torch.tensor(st  ,dtype=torch.long,device=device)\n",
    "\n",
    "model=TinyLSTM(len(feats), nsyms=len(symbols)).to(device)\n",
    "opt=torch.optim.Adam(model.parameters(), lr=LR)\n",
    "crit=nn.MSELoss()\n",
    "\n",
    "# --------------------\n",
    "# Train with early stopping (track losses)\n",
    "# --------------------\n",
    "train_losses, val_losses = [], []\n",
    "best_state, best_val, bad = None, float(\"inf\"), 0\n",
    "\n",
    "for ep in range(1,EPOCHS+1):\n",
    "    model.train()\n",
    "    perm=torch.randperm(Xtr.size(0), device=device)\n",
    "    xb, yb, sb = Xtr[perm], ytr[perm], stri[perm]\n",
    "    pred=model(xb,sb); loss=crit(pred, yb)\n",
    "    opt.zero_grad(); loss.backward(); nn.utils.clip_grad_norm_(model.parameters(),1.0); opt.step()\n",
    "\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        vp=model(Xv,sv); vl=crit(vp,yv).item()\n",
    "\n",
    "    train_losses.append(float(loss.item())); val_losses.append(float(vl))\n",
    "    if vl < best_val - 1e-6:\n",
    "        best_val, bad = vl, 0\n",
    "        best_state = {k: v.detach().cpu().clone() for k, v in model.state_dict().items()}\n",
    "    else:\n",
    "        bad += 1\n",
    "        if bad >= PATIENCE:\n",
    "            print(f\"Early stopping at epoch {ep} (best val={best_val:.4f})\")\n",
    "            break\n",
    "\n",
    "    if ep % 10 == 0 or ep == 1:\n",
    "        print(f\"Epoch {ep:03d} | Train Loss: {loss.item():.4f} | Val Loss: {vl:.4f}\")\n",
    "\n",
    "# restore best\n",
    "if best_state is not None:\n",
    "    model.load_state_dict({k: v.to(device) for k, v in best_state.items()})\n",
    "\n",
    "# --------------------\n",
    "# Predictions (z-space)\n",
    "# --------------------\n",
    "with torch.no_grad():\n",
    "    v_hat = model(Xv,sv).detach().cpu().numpy()\n",
    "    t_hat = model(Xt,st).detach().cpu().numpy()\n",
    "val_true_z  = yv.detach().cpu().numpy()\n",
    "test_true_z = yt.detach().cpu().numpy()\n",
    "\n",
    "# --------------------\n",
    "# Calibration in z-space, then center per date\n",
    "# --------------------\n",
    "def center_per_date(meta, z):\n",
    "    z = z.copy()\n",
    "    dates = np.array([pd.Timestamp(d) for (_, d, _) in meta])\n",
    "    for d in np.unique(dates):\n",
    "        m = dates == d\n",
    "        z[m] -= z[m].mean()\n",
    "    return z\n",
    "\n",
    "# linear calibration y ≈ a*pred + b\n",
    "Xcal = np.vstack([v_hat, np.ones_like(v_hat)]).T\n",
    "a, b = np.linalg.lstsq(Xcal, val_true_z, rcond=None)[0]\n",
    "print(f\"Calibration (z): y ≈ {a:.3f}*pred + {b:.3f}\")\n",
    "v_hat_cal = center_per_date(mv, a*v_hat + b)\n",
    "t_hat_cal = center_per_date(mt, a*t_hat + b)\n",
    "\n",
    "# --------------------\n",
    "# Un-zscore to returns\n",
    "# --------------------\n",
    "def unzscore(meta, z, stats_df):\n",
    "    dts = pd.to_datetime([d for (_,d,_) in meta])\n",
    "    stats = stats_df.reindex(dts)\n",
    "    mu = stats[\"mu\"].to_numpy(); sd = stats[\"sd\"].to_numpy()\n",
    "    return z*sd + mu\n",
    "\n",
    "def true_returns_from_meta(meta, frame):\n",
    "    m = {(r.symbol, pd.Timestamp(r.date)): float(r.y_ret_next)\n",
    "         for r in frame[[\"symbol\",\"date\",\"y_ret_next\"]].itertuples(index=False)}\n",
    "    return np.array([m.get((s, pd.Timestamp(d)), np.nan) for (s,d,_) in meta], dtype=float)\n",
    "\n",
    "val_pred_r  = unzscore(mv, v_hat_cal, val_stats)\n",
    "test_pred_r = unzscore(mt, t_hat_cal, test_stats)\n",
    "val_true_r  = true_returns_from_meta(mv, val)\n",
    "test_true_r = true_returns_from_meta(mt, test)\n",
    "\n",
    "mask_v = ~np.isnan(val_true_r); mask_t = ~np.isnan(test_true_r)\n",
    "val_true_r,  val_pred_r  = val_true_r[mask_v],  val_pred_r[mask_v]\n",
    "test_true_r, test_pred_r = test_true_r[mask_t], test_pred_r[mask_t]\n",
    "\n",
    "# --------------------\n",
    "# Metrics\n",
    "# --------------------\n",
    "def diracc(y,p): return float((np.sign(y)==np.sign(p)).mean())\n",
    "val_mae = mean_absolute_error(val_true_r, val_pred_r)\n",
    "test_mae= mean_absolute_error(test_true_r, test_pred_r)\n",
    "val_da  = diracc(val_true_r, val_pred_r)\n",
    "test_da = diracc(test_true_r, test_pred_r)\n",
    "\n",
    "print(\"\\nFINAL METRICS\")\n",
    "print(f\"VAL  — MAE: {val_mae:.6f} | DirAcc: {val_da:.2%}\")\n",
    "print(f\"TEST — MAE: {test_mae:.6f} | DirAcc: {test_da:.2%}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "b6be60fe-718b-4e4d-8443-48a3d432466e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seq counts: 2314 385 583\n",
      "Epoch 001 | Train Loss: 1.2113 | Val Loss: 1.2927\n",
      "Epoch 010 | Train Loss: 1.0018 | Val Loss: 1.0476\n",
      "Epoch 020 | Train Loss: 0.9554 | Val Loss: 1.1023\n",
      "Epoch 030 | Train Loss: 0.9285 | Val Loss: 1.2749\n",
      "Early stopping at epoch 32 (best val=1.0423)\n",
      "Calibration (z): y ≈ 0.078*pred + -0.014\n",
      "\n",
      "FINAL METRICS\n",
      "VAL  — MAE: 0.012035 | DirAcc: 82.86%\n",
      "TEST — MAE: 0.011844 | DirAcc: 74.61%\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "from collections import Counter\n",
    "\n",
    "# --------------------\n",
    "# Config\n",
    "# --------------------\n",
    "CSV_PATH = \"Tadawul_stcks_23_41.csv\"\n",
    "HORIZON  = 1\n",
    "SEQ_LEN  = 10\n",
    "EPOCHS   = 200\n",
    "LR       = 0.0004\n",
    "HIDDEN   = 64\n",
    "EMB_DIM  = 8\n",
    "SEED     = 42\n",
    "PATIENCE = 20\n",
    "\n",
    "# plotting\n",
    "PLOT_SYMBOL = None        # None -> auto pick most frequent in test\n",
    "PLOT_ALL    = False\n",
    "SAVE_DIR    = \"charts\"\n",
    "\n",
    "# IMPORTANT: use zero-mean un-zscoring for plots (prevents smooth drift)\n",
    "UNZSCORE_ZERO_MEAN_FOR_PLOTS = True\n",
    "\n",
    "np.random.seed(SEED); torch.manual_seed(SEED)\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "# --------------------\n",
    "# Load & clean\n",
    "# --------------------\n",
    "df = pd.read_csv(CSV_PATH)\n",
    "df.columns = (df.columns.map(lambda c: c.replace(\"\\u00A0\",\" \").strip())\n",
    "              .str.lower().str.replace(r\"[^a-z0-9]+\",\"_\",regex=True).str.strip(\"_\"))\n",
    "need = [\"symbol\",\"date\",\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]\n",
    "for c in need:\n",
    "    if c not in df.columns: raise RuntimeError(f\"Missing col: {c}\")\n",
    "df[\"date\"]=pd.to_datetime(df[\"date\"],errors=\"coerce\")\n",
    "for c in [\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]:\n",
    "    df[c]=pd.to_numeric(df[c],errors=\"coerce\")\n",
    "\n",
    "def clean_sym(g):\n",
    "    g=g.sort_values(\"date\").copy()\n",
    "    g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]] = g[[\"open\",\"high\",\"low\",\"close\",\"volume_traded\"]].ffill()\n",
    "    g[\"open\"]=g[\"open\"].fillna(g[\"close\"]); g[\"close\"]=g[\"close\"].fillna(g[\"open\"])\n",
    "    ocmax=np.nanmax(g[[\"open\",\"close\"]].values,axis=1); ocmin=np.nanmin(g[[\"open\",\"close\"]].values,axis=1)\n",
    "    g[\"high\"]=g[\"high\"].fillna(pd.Series(ocmax,index=g.index))\n",
    "    g[\"low\"] =g[\"low\" ].fillna(pd.Series(ocmin,index=g.index))\n",
    "    g[\"volume\"]=g[\"volume_traded\"].fillna(0)\n",
    "    return g.dropna(subset=[\"close\"])\n",
    "\n",
    "df = (pd.concat([clean_sym(g) for _,g in df.groupby(\"symbol\")], ignore_index=True)\n",
    "        .sort_values([\"symbol\",\"date\"]).reset_index(drop=True))\n",
    "\n",
    "# --------------------\n",
    "# Features\n",
    "# --------------------\n",
    "def build_feats(g):\n",
    "    g=g.sort_values(\"date\").copy()\n",
    "    for c in [\"open\",\"high\",\"low\",\"close\"]:\n",
    "        g[f\"log_{c}\"]=np.log(g[c].clip(lower=1e-6))\n",
    "    g[\"y_ret_next\"]=g[\"log_close\"].shift(-HORIZON)-g[\"log_close\"]  # H-step log return\n",
    "    g[\"gap\"]=g[\"log_open\"]-g[\"log_close\"].shift(1)\n",
    "    g[\"intraday\"]=g[\"log_close\"]-g[\"log_open\"]\n",
    "    g[\"ret_1\"]=g[\"log_close\"].diff(1)\n",
    "    g[\"ret_lag2\"]=g[\"ret_1\"].shift(1); g[\"ret_lag3\"]=g[\"ret_1\"].shift(2)\n",
    "    g[\"mom_5\"]=g[\"ret_1\"].rolling(5,min_periods=3).mean()\n",
    "    g[\"vol_5\"]=g[\"ret_1\"].rolling(5,min_periods=3).std()\n",
    "    g[\"hl_range\"]=g[\"log_high\"]-g[\"log_low\"]\n",
    "    rng=(g[\"log_high\"]-g[\"log_low\"]).replace(0,np.nan)\n",
    "    g[\"close_pos\"]=(g[\"log_close\"]-g[\"log_low\"])/(rng+1e-9)\n",
    "    g[\"upper_shadow\"]=g[\"log_high\"]-np.maximum(g[\"log_close\"],g[\"log_open\"])\n",
    "    g[\"lower_shadow\"]=np.minimum(g[\"log_close\"],g[\"log_open\"])-g[\"log_low\"]\n",
    "    prev=g[\"log_close\"].shift(1)\n",
    "    tr=np.maximum(g[\"log_high\"]-g[\"log_low\"], np.maximum((g[\"log_high\"]-prev).abs(),(g[\"log_low\"]-prev).abs()))\n",
    "    g[\"atr_5\"]=tr.rolling(5,min_periods=3).mean(); g[\"atr_14\"]=tr.rolling(14,min_periods=5).mean()\n",
    "    g[\"log_vol\"]=np.log(g[\"volume\"].clip(lower=1)); g[\"dlog_vol\"]=g[\"log_vol\"].diff(1)\n",
    "    dow=g[\"date\"].dt.weekday; g[\"dow_sin\"]=np.sin(2*np.pi*dow/7); g[\"dow_cos\"]=np.cos(2*np.pi*dow/7)\n",
    "    feats=[\"gap\",\"intraday\",\"ret_1\",\"ret_lag2\",\"ret_lag3\",\"mom_5\",\"vol_5\",\n",
    "           \"hl_range\",\"close_pos\",\"upper_shadow\",\"lower_shadow\",\"atr_5\",\"atr_14\",\n",
    "           \"log_vol\",\"dlog_vol\",\"dow_sin\",\"dow_cos\"]\n",
    "    g=g.dropna(subset=[\"y_ret_next\"]+feats).copy()\n",
    "    return g, feats\n",
    "\n",
    "parts=[]; feats=None\n",
    "for _,g in df.groupby(\"symbol\",sort=False):\n",
    "    gg, feats = build_feats(g); parts.append(gg)\n",
    "df = pd.concat(parts, ignore_index=True)\n",
    "\n",
    "# --------------------\n",
    "# Splits (by date)\n",
    "# --------------------\n",
    "cut_test = df[\"date\"].quantile(0.85)\n",
    "dev = df[df[\"date\"]<=cut_test].copy(); test = df[df[\"date\"]>cut_test].copy()\n",
    "cut_val = dev[\"date\"].quantile(0.85)\n",
    "train = dev[dev[\"date\"]<=cut_val].copy(); val = dev[dev[\"date\"]>cut_val].copy()\n",
    "\n",
    "# keep symbols with enough history\n",
    "ok=[]\n",
    "for s in df.symbol.unique():\n",
    "    t=(train.symbol==s).sum(); v=(val.symbol==s).sum(); te=(test.symbol==s).sum()\n",
    "    if t>=SEQ_LEN+1 and (t+v)>=SEQ_LEN+1 and (t+v+te)>=SEQ_LEN+1: ok.append(s)\n",
    "train=train[train.symbol.isin(ok)]; val=val[val.symbol.isin(ok)]; test=test[test.symbol.isin(ok)]\n",
    "symbols=df.symbol.drop_duplicates().tolist(); s2i={s:i for i,s in enumerate(symbols)}\n",
    "\n",
    "# --------------------\n",
    "# Scaling: X per-symbol; y per-date z-score\n",
    "# --------------------\n",
    "scalers={}\n",
    "for s,g in train.groupby(\"symbol\"):\n",
    "    scalers[s]=StandardScaler().fit(g[feats].values)\n",
    "\n",
    "def apply_scale(fr):\n",
    "    fr=fr.copy()\n",
    "    for s,g in fr.groupby(\"symbol\"):\n",
    "        xs=scalers.get(s)\n",
    "        if xs is not None:\n",
    "            fr.loc[g.index,feats]=xs.transform(g[feats].values)\n",
    "    fr[\"y_scaled\"]=fr.groupby(\"date\")[\"y_ret_next\"].transform(lambda s:(s-s.mean())/(s.std()+1e-9))\n",
    "    return fr\n",
    "\n",
    "train=apply_scale(train); val=apply_scale(val); test=apply_scale(test)\n",
    "\n",
    "# for un-zscoring to returns (metrics)\n",
    "val_stats  = (val.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\").reset_index().set_index(\"date\"))\n",
    "test_stats = (test.groupby(\"date\")[\"y_ret_next\"].agg(mu=\"mean\", sd=\"std\").reset_index().set_index(\"date\"))\n",
    "val_stats[\"sd\"]=val_stats[\"sd\"].replace(0,np.nan).fillna(1e-9)\n",
    "test_stats[\"sd\"]=test_stats[\"sd\"].replace(0,np.nan).fillna(1e-9)\n",
    "\n",
    "# --------------------\n",
    "# Sequences (with seeding)\n",
    "# --------------------\n",
    "def to_seq(fr):\n",
    "    X,Y,S,M=[],[],[],[]\n",
    "    for s,g in fr.groupby(\"symbol\"):\n",
    "        g=g.sort_values(\"date\")\n",
    "        F=g[feats].values; Z=g[\"y_scaled\"].values; D=g[\"date\"].values; Lc=g[\"log_close\"].values\n",
    "        for i in range(len(g)-SEQ_LEN):\n",
    "            j=i+SEQ_LEN-1\n",
    "            X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X: return np.empty((0,SEQ_LEN,len(feats))), np.empty((0,)), np.empty((0,),int), []\n",
    "    return np.array(X), np.array(Y), np.array(S,int), M\n",
    "\n",
    "def to_seq_seed(prev,cur):\n",
    "    X,Y,S,M=[],[],[],[]\n",
    "    for s,gc in cur.groupby(\"symbol\"):\n",
    "        gp=prev[prev.symbol==s].sort_values(\"date\"); seed=gp.tail(SEQ_LEN-1) if len(gp)>=SEQ_LEN-1 else gp\n",
    "        combo=pd.concat([seed,gc],ignore_index=True)\n",
    "        F=combo[feats].values; Z=combo[\"y_scaled\"].values; D=combo[\"date\"].values; Lc=combo[\"log_close\"].values\n",
    "        keep=set(pd.to_datetime(gc.date))\n",
    "        for i in range(len(combo)-SEQ_LEN):\n",
    "            j=i+SEQ_LEN-1\n",
    "            if pd.Timestamp(D[j]) in keep:\n",
    "                X.append(F[i:i+SEQ_LEN]); Y.append(Z[j]); S.append(s2i[s]); M.append((s, pd.Timestamp(D[j]), float(Lc[j])))\n",
    "    if not X: return np.empty((0,SEQ_LEN,len(feats))), np.empty((0,)), np.empty((0,),int), []\n",
    "    return np.array(X), np.array(Y).astype(np.float32), np.array(S,int), M\n",
    "\n",
    "Xtr,ytr,stri,mtr = to_seq(train)\n",
    "Xv,yv,sv,mv      = to_seq_seed(train,val)\n",
    "Xt,yt,st,mt      = to_seq_seed(pd.concat([train,val]),test)\n",
    "assert len(Xtr)>0 and len(Xv)>0 and len(Xt)>0, \"No sequences — try SEQ_LEN=10 or increase train size.\"\n",
    "print(\"Seq counts:\", len(Xtr), len(Xv), len(Xt))\n",
    "\n",
    "# --------------------\n",
    "# Model (nonlinear head)\n",
    "# --------------------\n",
    "class TinyLSTM(nn.Module):\n",
    "    def __init__(self, fdim, nsyms, hidden=HIDDEN, emb=EMB_DIM):\n",
    "        super().__init__()\n",
    "        self.emb  = nn.Embedding(nsyms, emb)\n",
    "        self.lstm = nn.LSTM(fdim+emb, hidden, batch_first=True)\n",
    "        self.head = nn.Sequential(\n",
    "            nn.LayerNorm(hidden),\n",
    "            nn.Linear(hidden, hidden//2),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(hidden//2, 1)\n",
    "        )\n",
    "    def forward(self, x, sidx):\n",
    "        e=self.emb(sidx).unsqueeze(1).repeat(1,x.size(1),1)\n",
    "        z,_=self.lstm(torch.cat([x,e],dim=-1))\n",
    "        return self.head(z[:,-1,:]).squeeze(-1)\n",
    "\n",
    "# tensors\n",
    "Xtr=torch.tensor(Xtr,dtype=torch.float32,device=device)\n",
    "Xv =torch.tensor(Xv ,dtype=torch.float32,device=device)\n",
    "Xt =torch.tensor(Xt ,dtype=torch.float32,device=device)\n",
    "ytr=torch.tensor(ytr,dtype=torch.float32,device=device)\n",
    "yv =torch.tensor(yv ,dtype=torch.float32,device=device)\n",
    "yt =torch.tensor(yt ,dtype=torch.float32,device=device)\n",
    "stri=torch.tensor(stri,dtype=torch.long,device=device)\n",
    "sv  =torch.tensor(sv  ,dtype=torch.long,device=device)\n",
    "st  =torch.tensor(st  ,dtype=torch.long,device=device)\n",
    "\n",
    "model=TinyLSTM(len(feats), nsyms=len(symbols)).to(device)\n",
    "opt=torch.optim.Adam(model.parameters(), lr=LR)\n",
    "crit=nn.MSELoss()\n",
    "\n",
    "# --------------------\n",
    "# Train with early stopping (track losses)\n",
    "# --------------------\n",
    "train_losses, val_losses = [], []\n",
    "best_state, best_val, bad = None, float(\"inf\"), 0\n",
    "\n",
    "for ep in range(1,EPOCHS+1):\n",
    "    model.train()\n",
    "    perm=torch.randperm(Xtr.size(0), device=device)\n",
    "    xb, yb, sb = Xtr[perm], ytr[perm], stri[perm]\n",
    "    pred=model(xb,sb); loss=crit(pred, yb)\n",
    "    opt.zero_grad(); loss.backward(); nn.utils.clip_grad_norm_(model.parameters(),1.0); opt.step()\n",
    "\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        vp=model(Xv,sv); vl=crit(vp,yv).item()\n",
    "\n",
    "    train_losses.append(float(loss.item())); val_losses.append(float(vl))\n",
    "    if vl < best_val - 1e-6:\n",
    "        best_val, bad = vl, 0\n",
    "        best_state = {k: v.detach().cpu().clone() for k, v in model.state_dict().items()}\n",
    "    else:\n",
    "        bad += 1\n",
    "        if bad >= PATIENCE:\n",
    "            print(f\"Early stopping at epoch {ep} (best val={best_val:.4f})\")\n",
    "            break\n",
    "\n",
    "    if ep % 10 == 0 or ep == 1:\n",
    "        print(f\"Epoch {ep:03d} | Train Loss: {loss.item():.4f} | Val Loss: {vl:.4f}\")\n",
    "\n",
    "# restore best\n",
    "if best_state is not None:\n",
    "    model.load_state_dict({k: v.to(device) for k, v in best_state.items()})\n",
    "\n",
    "# --------------------\n",
    "# Predictions (z-space) + calibration + per-date centering\n",
    "# --------------------\n",
    "with torch.no_grad():\n",
    "    v_hat = model(Xv,sv).detach().cpu().numpy()\n",
    "    t_hat = model(Xt,st).detach().cpu().numpy()\n",
    "val_true_z  = yv.detach().cpu().numpy()\n",
    "test_true_z = yt.detach().cpu().numpy()\n",
    "\n",
    "def center_per_date(meta, z):\n",
    "    z = z.copy()\n",
    "    dates = np.array([pd.Timestamp(d) for (_, d, _) in meta])\n",
    "    for d in np.unique(dates):\n",
    "        m = dates == d\n",
    "        z[m] -= z[m].mean()\n",
    "    return z\n",
    "\n",
    "# linear calibration on validation\n",
    "Xcal = np.vstack([v_hat, np.ones_like(v_hat)]).T\n",
    "a, b = np.linalg.lstsq(Xcal, val_true_z, rcond=None)[0]\n",
    "print(f\"Calibration (z): y ≈ {a:.3f}*pred + {b:.3f}\")\n",
    "v_hat_cal = center_per_date(mv, a*v_hat + b)\n",
    "t_hat_cal = center_per_date(mt, a*t_hat + b)\n",
    "\n",
    "# --------------------\n",
    "# Un-zscore to returns\n",
    "# --------------------\n",
    "def unzscore(meta, z, stats_df):\n",
    "    dts = pd.to_datetime([d for (_,d,_) in meta])\n",
    "    stats = stats_df.reindex(dts)\n",
    "    mu = stats[\"mu\"].to_numpy(); sd = stats[\"sd\"].to_numpy()\n",
    "    return z*sd + mu\n",
    "\n",
    "def true_returns_from_meta(meta, frame):\n",
    "    m = {(r.symbol, pd.Timestamp(r.date)): float(r.y_ret_next)\n",
    "         for r in frame[[\"symbol\",\"date\",\"y_ret_next\"]].itertuples(index=False)}\n",
    "    return np.array([m.get((s, pd.Timestamp(d)), np.nan) for (s,d,_) in meta], dtype=float)\n",
    "\n",
    "# metrics use full un-zscore (with μ)\n",
    "val_pred_r  = unzscore(mv, v_hat_cal, val_stats)\n",
    "test_pred_r = unzscore(mt, t_hat_cal, test_stats)\n",
    "val_true_r  = true_returns_from_meta(mv, val)\n",
    "test_true_r = true_returns_from_meta(mt, test)\n",
    "\n",
    "mask_v = ~np.isnan(val_true_r); mask_t = ~np.isnan(test_true_r)\n",
    "val_true_r,  val_pred_r  = val_true_r[mask_v],  val_pred_r[mask_v]\n",
    "test_true_r, test_pred_r = test_true_r[mask_t], test_pred_r[mask_t]\n",
    "\n",
    "# --------------------\n",
    "# Metrics\n",
    "# --------------------\n",
    "def diracc(y,p): return float((np.sign(y)==np.sign(p)).mean())\n",
    "val_mae = mean_absolute_error(val_true_r, val_pred_r)\n",
    "test_mae= mean_absolute_error(test_true_r, test_pred_r)\n",
    "val_da  = diracc(val_true_r, val_pred_r)\n",
    "test_da = diracc(test_true_r, test_pred_r)\n",
    "\n",
    "print(\"\\nFINAL METRICS\")\n",
    "print(f\"VAL  — MAE: {val_mae:.6f} | DirAcc: {val_da:.2%}\")\n",
    "print(f\"TEST — MAE: {test_mae:.6f} | DirAcc: {test_da:.2%}\")\n",
    "\n"
   ]
  }
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