diff --git a/dsar.ipynb b/dsar.ipynb
index 04535cf..636edf3 100644
--- a/dsar.ipynb
+++ b/dsar.ipynb
@@ -2,13 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 137,
    "id": "initial_id",
    "metadata": {
-    "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:50.447021Z",
-     "start_time": "2024-04-04T10:48:50.439328Z"
+     "end_time": "2024-04-05T11:06:08.197596Z",
+     "start_time": "2024-04-05T11:06:08.057708Z"
     }
    },
    "outputs": [],
@@ -16,374 +15,1038 @@
     "import pandas as pd\n",
     "import os\n",
     "import matplotlib.pyplot as plt\n",
-    "from statsmodels.tsa.filters.hp_filter import hpfilter"
+    "from statsmodels.tsa.filters.hp_filter import hpfilter\n",
+    "from datetime import datetime"
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 138,
+   "id": "ca5aa6e8f5459dbc",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:06:08.229022Z",
+     "start_time": "2024-04-05T11:06:08.207115Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "outputs": [],
    "source": [
     "network = \"VG\"\n",
-    "station = \"PSAG\"\n",
+    "station = \"TMKS\"\n",
     "location = \"00\"\n",
     "channel = \"EHZ\"\n",
     "\n",
     "nslc = \"{}.{}.{}.{}\".format(network, station, location, channel)"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "b2de62600683152a",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:50:19.614919Z",
-     "start_time": "2024-04-04T10:50:19.599114Z"
+     "end_time": "2024-04-05T11:06:08.460549Z",
+     "start_time": "2024-04-05T11:06:08.446470Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "ca5aa6e8f5459dbc",
-   "execution_count": 48
+   "outputs": [],
+   "source": [
+    "bands: dict[str, list[float]] = {\n",
+    "    'HF' : [0.1, 8.0, 16.0],\n",
+    "    'LF' : [0.1, 4.5, 8.0],\n",
+    "}"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 143,
+   "id": "48597e8409e7297e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:06:58.547534Z",
+     "start_time": "2024-04-05T11:06:58.533882Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "outputs": [],
    "source": [
     "current_dir: str = os.getcwd()\n",
+    "input_directory: str = os.path.join(current_dir, \"output\")\n",
     "output_directory: str = os.path.join(current_dir, \"output\", \"dsar\")\n",
     "os.makedirs(output_directory, exist_ok=True)\n",
     "\n",
-    "combined_HF_csv: str = r'D:\\Projects\\dsar\\output\\HF\\combined_0.1-8.0-16.0Hz_VG.PSAG.00.EHZ.csv'\n",
-    "combined_LF_csv: str = r'D:\\Projects\\dsar\\output\\LF\\combined_0.1-4.5-8.0Hz_VG.PSAG.00.EHZ.csv'"
-   ],
+    "combined_HF_csv: str = os.path.join(input_directory, \"HF\", 'combined_{}Hz_{}.csv'.format('-'.join(map(str,bands['HF'])), nslc))\n",
+    "combined_LF_csv: str = os.path.join(input_directory, \"LF\", 'combined_{}Hz_{}.csv'.format('-'.join(map(str,bands['LF'])), nslc))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "id": "768e62fb6819f92a",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:49:56.891336Z",
-     "start_time": "2024-04-04T10:49:56.887146Z"
+     "end_time": "2024-04-05T11:06:58.890448Z",
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+    },
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+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "48597e8409e7297e",
-   "execution_count": 47
-  },
-  {
-   "cell_type": "code",
    "outputs": [],
    "source": [
     "HF = pd.read_csv(combined_HF_csv, names=[\"datetime\", \"values\"], \n",
     "                 index_col='datetime', parse_dates=True)\n",
     "LF = pd.read_csv(combined_LF_csv, names=[\"datetime\", \"values\"], \n",
     "                 index_col='datetime', parse_dates=True)\n"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "id": "3eaed40d8201c8db",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:50.720748Z",
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+     "end_time": "2024-04-05T11:07:00.559271Z",
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+    "jupyter": {
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     }
    },
-   "id": "768e62fb6819f92a",
-   "execution_count": 37
-  },
-  {
-   "cell_type": "code",
    "outputs": [
     {
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+       "  </tbody>\n",
+       "</table>\n",
+       "<p>40948 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           values\n",
+       "datetime                         \n",
+       "2017-10-18 00:00:00  6.208363e-15\n",
+       "2017-10-18 00:10:00  7.380559e-01\n",
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+       "...                           ...\n",
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+       "\n",
+       "[40948 rows x 1 columns]"
+      ]
      },
-     "execution_count": 38,
+     "execution_count": 145,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "HF"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "fd9098d781aca50b",
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    },
-   "id": "3eaed40d8201c8db",
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-  {
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    "outputs": [
     {
      "data": {
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+       "      <th>2018-08-01 00:00:00</th>\n",
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+       "  </tbody>\n",
+       "</table>\n",
+       "<p>40948 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           values\n",
+       "datetime                         \n",
+       "2017-10-18 00:00:00  6.802138e-14\n",
+       "2017-10-18 00:10:00  2.151316e+00\n",
+       "2017-10-18 00:20:00  7.032605e+00\n",
+       "2017-10-18 00:30:00  2.747559e+00\n",
+       "2017-10-18 00:40:00  2.319844e+00\n",
+       "...                           ...\n",
+       "2018-07-31 23:20:00  1.815933e+00\n",
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+       "2018-07-31 23:50:00  2.537370e+00\n",
+       "2018-08-01 00:00:00  3.558210e+00\n",
+       "\n",
+       "[40948 rows x 1 columns]"
+      ]
      },
-     "execution_count": 39,
+     "execution_count": 146,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "LF"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "258f7368b11ba338",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:51.027777Z",
-     "start_time": "2024-04-04T10:48:51.009154Z"
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+    },
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+    "jupyter": {
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     }
    },
-   "id": "fd9098d781aca50b",
-   "execution_count": 39
-  },
-  {
-   "cell_type": "code",
    "outputs": [],
    "source": [
     "df = pd.DataFrame()"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "id": "b63dd42e8f7f336a",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:51.168681Z",
-     "start_time": "2024-04-04T10:48:51.154275Z"
+     "end_time": "2024-04-05T11:07:07.588239Z",
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+    },
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     }
    },
-   "id": "258f7368b11ba338",
-   "execution_count": 40
-  },
-  {
-   "cell_type": "code",
    "outputs": [],
    "source": [
     "df['LF'] = LF['values']\n",
     "df['HF'] = HF['values']\n",
-    "df['DSAR'] = (LF['values']/HF['values'])"
-   ],
+    "df['DSAR'] = (LF['values']/HF['values'])\n",
+    "df['DSAR_365'] = (LF['values']/HF['values']).rolling(6).median()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "id": "a431ff632b38dd5a",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:51.281983Z",
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+       "      <th>2018-08-01 00:00:00</th>\n",
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+       "      <td>5.537770</td>\n",
+       "      <td>3.016659</td>\n",
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+       "<p>40948 rows × 4 columns</p>\n",
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+      ],
+      "text/plain": [
+       "                               LF            HF       DSAR  DSAR_365\n",
+       "datetime                                                            \n",
+       "2017-10-18 00:00:00  6.802138e-14  6.208363e-15  10.956411       NaN\n",
+       "2017-10-18 00:10:00  2.151316e+00  7.380559e-01   2.914841       NaN\n",
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+       "2017-10-18 00:30:00  2.747559e+00  8.930925e-01   3.076455       NaN\n",
+       "2017-10-18 00:40:00  2.319844e+00  7.993184e-01   2.902277       NaN\n",
+       "...                           ...           ...        ...       ...\n",
+       "2018-07-31 23:20:00  1.815933e+00  6.075836e-01   2.988778  2.964880\n",
+       "2018-07-31 23:30:00  2.126889e+00  6.985912e-01   3.044540  2.964880\n",
+       "2018-07-31 23:40:00  2.359685e+00  7.346555e-01   3.211961  2.967853\n",
+       "2018-07-31 23:50:00  2.537370e+00  8.544759e-01   2.969504  2.979141\n",
+       "2018-08-01 00:00:00  3.558210e+00  6.425347e-01   5.537770  3.016659\n",
+       "\n",
+       "[40948 rows x 4 columns]"
+      ]
      },
-     "execution_count": 42,
+     "execution_count": 149,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "df"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:51.469303Z",
-     "start_time": "2024-04-04T10:48:51.446987Z"
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-   },
-   "id": "a431ff632b38dd5a",
-   "execution_count": 42
+   ]
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [
-    "df = df.dropna()"
-   ],
+   "execution_count": 150,
+   "id": "4833aa88e0b4e965",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:51.656693Z",
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-   "id": "4833aa88e0b4e965",
-   "execution_count": 43
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-  {
-   "cell_type": "code",
    "outputs": [],
    "source": [
-    "df = df.apply(lambda col: col.drop_duplicates())"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:52.018588Z",
-     "start_time": "2024-04-04T10:48:52.010706Z"
-    }
-   },
-   "id": "450453f59614beca",
-   "execution_count": 44
+    "df = df.dropna()"
+   ]
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [
-    "df = df.interpolate('time').interpolate()"
-   ],
+   "execution_count": 151,
+   "id": "f88145d2eb166efe",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
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-   "id": "58b06d5caf521d59",
-   "execution_count": 45
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-  {
-   "cell_type": "code",
    "outputs": [
     {
      "data": {
-      "text/plain": "                           LF        HF      DSAR\ndatetime                                         \n2017-12-01 00:00:00  1.407755  0.439914  3.200070\n2017-12-01 00:10:00  1.716330  0.538841  3.185224\n2017-12-01 00:20:00  1.546221  0.597672  2.587075\n2017-12-01 00:30:00  2.018578  0.853629  2.364702\n2017-12-01 00:40:00  1.812334  0.607109  2.985185\n...                       ...       ...       ...\n2017-12-03 23:10:00  2.538923  0.846659  2.998756\n2017-12-03 23:20:00  2.393708  0.925042  2.587676\n2017-12-03 23:30:00  2.398406  0.846512  2.833282\n2017-12-03 23:40:00  3.125723  0.988731  3.161346\n2017-12-03 23:50:00  3.403552  1.024045  3.323637\n\n[434 rows x 3 columns]",
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+       "      <th>2017-10-18 01:20:00</th>\n",
+       "      <td>2.895836</td>\n",
+       "      <td>0.936254</td>\n",
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+       "      <th>2017-10-18 01:30:00</th>\n",
+       "      <td>3.204720</td>\n",
+       "      <td>1.026581</td>\n",
+       "      <td>3.121741</td>\n",
+       "      <td>3.076415</td>\n",
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+       "    <tr>\n",
+       "      <th>2018-07-31 23:20:00</th>\n",
+       "      <td>1.815933</td>\n",
+       "      <td>0.607584</td>\n",
+       "      <td>2.988778</td>\n",
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+       "      <th>2018-07-31 23:30:00</th>\n",
+       "      <td>2.126889</td>\n",
+       "      <td>0.698591</td>\n",
+       "      <td>3.044540</td>\n",
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+       "      <th>2018-07-31 23:40:00</th>\n",
+       "      <td>2.359685</td>\n",
+       "      <td>0.734656</td>\n",
+       "      <td>3.211961</td>\n",
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+       "    <tr>\n",
+       "      <th>2018-07-31 23:50:00</th>\n",
+       "      <td>2.537370</td>\n",
+       "      <td>0.854476</td>\n",
+       "      <td>2.969504</td>\n",
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+       "    <tr>\n",
+       "      <th>2018-08-01 00:00:00</th>\n",
+       "      <td>3.558210</td>\n",
+       "      <td>0.642535</td>\n",
+       "      <td>5.537770</td>\n",
+       "      <td>3.016659</td>\n",
+       "    </tr>\n",
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+       "<p>40662 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           LF        HF      DSAR  DSAR_365\n",
+       "datetime                                                   \n",
+       "2017-10-18 00:50:00  2.974201  0.972016  3.059826  3.068141\n",
+       "2017-10-18 01:00:00  2.918218  0.938653  3.108943  3.068141\n",
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+       "2017-10-18 01:30:00  3.204720  1.026581  3.121741  3.076415\n",
+       "...                       ...       ...       ...       ...\n",
+       "2018-07-31 23:20:00  1.815933  0.607584  2.988778  2.964880\n",
+       "2018-07-31 23:30:00  2.126889  0.698591  3.044540  2.964880\n",
+       "2018-07-31 23:40:00  2.359685  0.734656  3.211961  2.967853\n",
+       "2018-07-31 23:50:00  2.537370  0.854476  2.969504  2.979141\n",
+       "2018-08-01 00:00:00  3.558210  0.642535  5.537770  3.016659\n",
+       "\n",
+       "[40662 rows x 4 columns]"
+      ]
      },
-     "execution_count": 46,
+     "execution_count": 151,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df"
-   ],
+    "df.loc[~df.index.duplicated(), :]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "id": "450453f59614beca",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:48:54.364719Z",
-     "start_time": "2024-04-04T10:48:54.347875Z"
+     "end_time": "2024-04-05T11:07:13.562955Z",
+     "start_time": "2024-04-05T11:07:13.546362Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "c2a73a6a0ea72757",
-   "execution_count": 46
+   "outputs": [],
+   "source": [
+    "# df = df.apply(lambda col: col.drop_duplicates())"
+   ]
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [
-    "filename = os.path.join(output_directory, \"DSAR_{}.csv\".format(nslc))\n",
-    "df.to_csv(filename)"
-   ],
+   "execution_count": 153,
+   "id": "58b06d5caf521d59",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:51:27.903345Z",
-     "start_time": "2024-04-04T10:51:27.893854Z"
+     "end_time": "2024-04-05T11:07:13.996940Z",
+     "start_time": "2024-04-05T11:07:13.970250Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "ef5cbf2620bf3553",
-   "execution_count": 49
+   "outputs": [],
+   "source": [
+    "df = df.interpolate('time').interpolate()"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 154,
+   "id": "c2a73a6a0ea72757",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:07:14.714247Z",
+     "start_time": "2024-04-05T11:07:14.695416Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "outputs": [
     {
      "data": {
-      "text/plain": "<Axes: >"
+      "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>LF</th>\n",
+       "      <th>HF</th>\n",
+       "      <th>DSAR</th>\n",
+       "      <th>DSAR_365</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>datetime</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2017-10-18 00:50:00</th>\n",
+       "      <td>2.974201</td>\n",
+       "      <td>0.972016</td>\n",
+       "      <td>3.059826</td>\n",
+       "      <td>3.068141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-10-18 01:00:00</th>\n",
+       "      <td>2.918218</td>\n",
+       "      <td>0.938653</td>\n",
+       "      <td>3.108943</td>\n",
+       "      <td>3.068141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-10-18 01:10:00</th>\n",
+       "      <td>2.243599</td>\n",
+       "      <td>0.775418</td>\n",
+       "      <td>2.893407</td>\n",
+       "      <td>3.068141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-10-18 01:20:00</th>\n",
+       "      <td>2.895836</td>\n",
+       "      <td>0.936254</td>\n",
+       "      <td>3.093003</td>\n",
+       "      <td>3.068141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-10-18 01:30:00</th>\n",
+       "      <td>3.204720</td>\n",
+       "      <td>1.026581</td>\n",
+       "      <td>3.121741</td>\n",
+       "      <td>3.076415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-07-31 23:20:00</th>\n",
+       "      <td>1.815933</td>\n",
+       "      <td>0.607584</td>\n",
+       "      <td>2.988778</td>\n",
+       "      <td>2.964880</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-07-31 23:30:00</th>\n",
+       "      <td>2.126889</td>\n",
+       "      <td>0.698591</td>\n",
+       "      <td>3.044540</td>\n",
+       "      <td>2.964880</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-07-31 23:40:00</th>\n",
+       "      <td>2.359685</td>\n",
+       "      <td>0.734656</td>\n",
+       "      <td>3.211961</td>\n",
+       "      <td>2.967853</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-07-31 23:50:00</th>\n",
+       "      <td>2.537370</td>\n",
+       "      <td>0.854476</td>\n",
+       "      <td>2.969504</td>\n",
+       "      <td>2.979141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-08-01 00:00:00</th>\n",
+       "      <td>3.558210</td>\n",
+       "      <td>0.642535</td>\n",
+       "      <td>5.537770</td>\n",
+       "      <td>3.016659</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>40943 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           LF        HF      DSAR  DSAR_365\n",
+       "datetime                                                   \n",
+       "2017-10-18 00:50:00  2.974201  0.972016  3.059826  3.068141\n",
+       "2017-10-18 01:00:00  2.918218  0.938653  3.108943  3.068141\n",
+       "2017-10-18 01:10:00  2.243599  0.775418  2.893407  3.068141\n",
+       "2017-10-18 01:20:00  2.895836  0.936254  3.093003  3.068141\n",
+       "2017-10-18 01:30:00  3.204720  1.026581  3.121741  3.076415\n",
+       "...                       ...       ...       ...       ...\n",
+       "2018-07-31 23:20:00  1.815933  0.607584  2.988778  2.964880\n",
+       "2018-07-31 23:30:00  2.126889  0.698591  3.044540  2.964880\n",
+       "2018-07-31 23:40:00  2.359685  0.734656  3.211961  2.967853\n",
+       "2018-07-31 23:50:00  2.537370  0.854476  2.969504  2.979141\n",
+       "2018-08-01 00:00:00  3.558210  0.642535  5.537770  3.016659\n",
+       "\n",
+       "[40943 rows x 4 columns]"
+      ]
      },
-     "execution_count": 50,
+     "execution_count": 154,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/png": 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"
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "plt.subplot(111)"
-   ],
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "id": "ef5cbf2620bf3553",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:54:22.605304Z",
-     "start_time": "2024-04-04T10:54:22.336889Z"
+     "end_time": "2024-04-05T11:07:15.620073Z",
+     "start_time": "2024-04-05T11:07:15.425507Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "cc19a03af7d66b67",
-   "execution_count": 50
+   "outputs": [],
+   "source": [
+    "filename = os.path.join(output_directory, \"DSAR_{}.csv\".format(nslc))\n",
+    "df.to_csv(filename)"
+   ]
   },
   {
    "cell_type": "code",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "(1.0, 5.0)"
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
+   "execution_count": 157,
+   "id": "eff647416915984f",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:07:28.507291Z",
+     "start_time": "2024-04-05T11:07:27.834935Z"
     },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/png": 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"
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",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "plt.scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='{} (10 minutes)'.format(nslc))\n",
+    "import matplotlib.dates as mdates\n",
     "\n",
     "# HP filter documentation https://www.statsmodels.org/stable/generated/statsmodels.tsa.filters.hp_filter.hpfilter.html\n",
-    "_,trend = hpfilter(df.DSAR, 1600)\n",
-    "plt.plot(df.index, trend, c='lightseagreen', label='{} smoothed (HP Filter)'.format(nslc), alpha=0.8)\n",
+    "cycle,trend = hpfilter(df.DSAR, 1000000)\n",
     "\n",
-    "plt.legend(loc=2)\n",
-    "plt.ylabel('DSAR')\n",
-    "plt.ylim(1,5)"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T11:08:49.270195Z",
-     "start_time": "2024-04-04T11:08:49.120158Z"
-    }
-   },
-   "id": "55f9988aa675714",
-   "execution_count": 61
+    "fig, axs = plt.subplots(figsize=(12, 5), layout=\"constrained\")\n",
+    "scatter = axs.scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='{} (10 minutes)'.format(nslc))\n",
+    "smoothed_using_HP_filter = axs.plot(df.index, trend, c='red', label='{} smoothed (HP Filter)'.format(nslc), alpha=1)\n",
+    "\n",
+    "axs.legend(loc=2)\n",
+    "axs.set_ylabel('DSAR')\n",
+    "axs.set_xlabel('Date')\n",
+    "axs.xaxis.set_major_locator(mdates.DayLocator(interval=7))\n",
+    "axs.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n",
+    "axs.set_ylim(0,6.5)\n",
+    "\n",
+    "# Agung Eruption\n",
+    "continous_eruptions = [\n",
+    "    ['2017-11-21', '2017-11-29'],\n",
+    "    ['2018-06-27', '2018-07-16'],\n",
+    "    ['2018-07-24', '2018-07-27'],\n",
+    "]\n",
+    "\n",
+    "for continous in continous_eruptions:\n",
+    "    axs.axvspan(continous[0], continous[1], alpha=0.4, color='orange')\n",
+    "\n",
+    "single_eruptions = [\n",
+    "    '2018-05-29',\n",
+    "    '2018-06-10',\n",
+    "    '2018-06-13',\n",
+    "    '2018-06-15',\n",
+    "    '2018-07-21',\n",
+    "    '2018-07-24',\n",
+    "]\n",
+    "\n",
+    "for date in single_eruptions:\n",
+    "    axs.axvline(datetime.strptime(date, '%Y-%m-%d'), alpha=0.4, color='orange')\n",
+    "\n",
+    "for label in axs.get_xticklabels(which='major'):\n",
+    "    label.set(rotation=30, horizontalalignment='right')"
+   ]
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [],
+   "execution_count": null,
+   "id": "75e068b0ead2b91c",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
-   "id": "eff647416915984f"
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/dsar.py b/dsar.py
index 3ca5960..65cfdc9 100644
--- a/dsar.py
+++ b/dsar.py
@@ -1,38 +1,49 @@
 #!/usr/bin/env python
 # coding: utf-8
 
-# In[35]:
+# In[137]:
 
 
 import pandas as pd
 import os
 import matplotlib.pyplot as plt
 from statsmodels.tsa.filters.hp_filter import hpfilter
+from datetime import datetime
 
 
-# In[48]:
+# In[138]:
 
 
 network = "VG"
-station = "PSAG"
+station = "TMKS"
 location = "00"
 channel = "EHZ"
 
 nslc = "{}.{}.{}.{}".format(network, station, location, channel)
 
 
-# In[47]:
+# In[139]:
+
+
+bands: dict[str, list[float]] = {
+    'HF' : [0.1, 8.0, 16.0],
+    'LF' : [0.1, 4.5, 8.0],
+}
+
+
+# In[143]:
 
 
 current_dir: str = os.getcwd()
+input_directory: str = os.path.join(current_dir, "output")
 output_directory: str = os.path.join(current_dir, "output", "dsar")
 os.makedirs(output_directory, exist_ok=True)
 
-combined_HF_csv: str = r'D:\Projects\dsar\output\HF\combined_0.1-8.0-16.0Hz_VG.PSAG.00.EHZ.csv'
-combined_LF_csv: str = r'D:\Projects\dsar\output\LF\combined_0.1-4.5-8.0Hz_VG.PSAG.00.EHZ.csv'
+combined_HF_csv: str = os.path.join(input_directory, "HF", 'combined_{}Hz_{}.csv'.format('-'.join(map(str,bands['HF'])), nslc))
+combined_LF_csv: str = os.path.join(input_directory, "LF", 'combined_{}Hz_{}.csv'.format('-'.join(map(str,bands['LF'])), nslc))
 
 
-# In[37]:
+# In[144]:
 
 
 HF = pd.read_csv(combined_HF_csv, names=["datetime", "values"], 
@@ -41,87 +52,119 @@
                  index_col='datetime', parse_dates=True)
 
 
-# In[38]:
+# In[145]:
 
 
 HF
 
 
-# In[39]:
+# In[146]:
 
 
 LF
 
 
-# In[40]:
+# In[147]:
 
 
 df = pd.DataFrame()
 
 
-# In[41]:
+# In[148]:
 
 
 df['LF'] = LF['values']
 df['HF'] = HF['values']
 df['DSAR'] = (LF['values']/HF['values'])
+df['DSAR_365'] = (LF['values']/HF['values']).rolling(6).median()
 
 
-# In[42]:
+# In[149]:
 
 
 df
 
 
-# In[43]:
+# In[150]:
 
 
 df = df.dropna()
 
 
-# In[44]:
+# In[151]:
 
 
-df = df.apply(lambda col: col.drop_duplicates())
+df.loc[~df.index.duplicated(), :]
 
 
-# In[45]:
+# In[152]:
 
 
-df = df.interpolate('time').interpolate()
+# df = df.apply(lambda col: col.drop_duplicates())
 
 
-# In[46]:
+# In[153]:
 
 
-df
+df = df.interpolate('time').interpolate()
 
 
-# In[49]:
+# In[154]:
 
 
-filename = os.path.join(output_directory, "DSAR_{}.csv".format(nslc))
-df.to_csv(filename)
+df
 
 
-# In[50]:
+# In[155]:
 
 
-plt.subplot(111)
+filename = os.path.join(output_directory, "DSAR_{}.csv".format(nslc))
+df.to_csv(filename)
 
 
-# In[61]:
+# In[157]:
 
 
-plt.scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='{} (10 minutes)'.format(nslc))
+import matplotlib.dates as mdates
 
 # HP filter documentation https://www.statsmodels.org/stable/generated/statsmodels.tsa.filters.hp_filter.hpfilter.html
-_,trend = hpfilter(df.DSAR, 1600)
-plt.plot(df.index, trend, c='lightseagreen', label='{} smoothed (HP Filter)'.format(nslc), alpha=0.8)
-
-plt.legend(loc=2)
-plt.ylabel('DSAR')
-plt.ylim(1,5)
+cycle,trend = hpfilter(df.DSAR, 1000000)
+
+fig, axs = plt.subplots(figsize=(12, 5), layout="constrained")
+scatter = axs.scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='{} (10 minutes)'.format(nslc))
+smoothed_using_HP_filter = axs.plot(df.index, trend, c='red', label='{} smoothed (HP Filter)'.format(nslc), alpha=1)
+
+axs.legend(loc=2)
+axs.set_ylabel('DSAR')
+axs.set_xlabel('Date')
+axs.xaxis.set_major_locator(mdates.DayLocator(interval=7))
+axs.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
+axs.set_ylim(0,6.5)
+
+# Agung Eruption
+continous_eruptions = [
+    ['2017-11-21', '2017-11-29'],
+    ['2018-06-27', '2018-07-16'],
+    ['2018-07-24', '2018-07-27'],
+]
+
+for continous in continous_eruptions:
+    axs.axvspan(continous[0], continous[1], alpha=0.4, color='orange')
+
+single_eruptions = [
+    '2018-05-29',
+    '2018-06-10',
+    '2018-06-13',
+    '2018-06-15',
+    '2018-07-21',
+    '2018-07-24',
+]
+
+for date in single_eruptions:
+    axs.axvline(datetime.strptime(date, '%Y-%m-%d'), alpha=0.4, color='orange')
+
+for label in axs.get_xticklabels(which='major'):
+    label.set(rotation=30, horizontalalignment='right')
 
 
 # In[ ]:
diff --git a/magma.ipynb b/magma.ipynb
new file mode 100644
index 0000000..36728ae
--- /dev/null
+++ b/magma.ipynb
@@ -0,0 +1,676 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "initial_id",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:13.733206Z",
+     "start_time": "2024-04-05T10:45:13.723293Z"
+    },
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.dates as mdates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "295d7c8eb5390c95",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:13.748888Z",
+     "start_time": "2024-04-05T10:45:13.734211Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "url = 'https://magma.esdm.go.id/api/v1/python/magma-var/evaluasi'\n",
+    "token = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJodHRwczpcL1wvbWFnbWEuZXNkbS5nby5pZFwvY2hhbWJlcnNcL3Rva2VuXC9nZW5lcmF0ZSIsImlhdCI6MTcxMjMxMTg1MCwiZXhwIjoxNzEyMzk4MjUwLCJuYmYiOjE3MTIzMTE4NTAsImp0aSI6IjVCc0xOOTJ0WENaY0hNNGciLCJzdWIiOjI1OCwicHJ2IjoiODdlMGFmMWVmOWZkMTU4MTJmZGVjOTcxNTNhMTRlMGIwNDc1NDZhYSIsInNvdXJjZSI6Ik1BR01BIEluZG9uZXNpYSIsImFwaV92ZXJzaW9uIjoidjEifQ.XNuYeE5kc8PpNqIV4If6Wf8EB4D9CknWgBEJ9gTjwd8'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "895224054269453b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:13.764582Z",
+     "start_time": "2024-04-05T10:45:13.749985Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "start_date: str = '2017-10-01'\n",
+    "end_date: str = '2018-07-31'\n",
+    "volcano_code: str = 'AGU'\n",
+    "events = ['vta', 'vtb', 'lts']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "4faade117bd71cf6",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:13.779632Z",
+     "start_time": "2024-04-05T10:45:13.766562Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "payload = json.dumps({\n",
+    "  'start_date': start_date,\n",
+    "  'end_date': end_date,\n",
+    "  'code_ga': volcano_code,\n",
+    "  'gempa': events\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "d0ea8b78bc9ad94e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:13.795285Z",
+     "start_time": "2024-04-05T10:45:13.781646Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "headers = {\n",
+    "  'Authorization': 'Bearer '+token,\n",
+    "  'Content-Type': 'application/json'\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "b5eec61b36adc461",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:13.811024Z",
+     "start_time": "2024-04-05T10:45:13.797282Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "current_dir: str = os.getcwd()\n",
+    "output_directory: str = os.path.join(current_dir, \"output\", \"magma\")\n",
+    "os.makedirs(output_directory, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "3b15397be1025296",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.245146Z",
+     "start_time": "2024-04-05T10:45:13.813023Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "response = requests.request(\"GET\", url, headers=headers, data=payload)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "b88d9317df61438a",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.260809Z",
+     "start_time": "2024-04-05T10:45:16.247133Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "response_json = response.json()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "af908aaae88655ab",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.276563Z",
+     "start_time": "2024-04-05T10:45:16.262791Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.json_normalize(response.json()['data'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "9726279bf935102e",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.292185Z",
+     "start_time": "2024-04-05T10:45:16.277547Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "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>date</th>\n",
+       "      <th>gempa.vulkanik_dalam</th>\n",
+       "      <th>gempa.vulkanik_dangkal</th>\n",
+       "      <th>gempa.letusan_erupsi</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2017-10-01</td>\n",
+       "      <td>587</td>\n",
+       "      <td>306</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2017-10-02</td>\n",
+       "      <td>517</td>\n",
+       "      <td>356</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2017-10-03</td>\n",
+       "      <td>322</td>\n",
+       "      <td>287</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2017-10-04</td>\n",
+       "      <td>419</td>\n",
+       "      <td>281</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2017-10-05</td>\n",
+       "      <td>524</td>\n",
+       "      <td>319</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         date  gempa.vulkanik_dalam  gempa.vulkanik_dangkal  \\\n",
+       "0  2017-10-01                   587                     306   \n",
+       "1  2017-10-02                   517                     356   \n",
+       "2  2017-10-03                   322                     287   \n",
+       "3  2017-10-04                   419                     281   \n",
+       "4  2017-10-05                   524                     319   \n",
+       "\n",
+       "   gempa.letusan_erupsi  \n",
+       "0                     0  \n",
+       "1                     0  \n",
+       "2                     0  \n",
+       "3                     0  \n",
+       "4                     0  "
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.drop(columns=[\n",
+    "  'availability',\n",
+    "  'visual.visibility',\n",
+    "  'visual.cuaca',\n",
+    "  'visual.asap.teramati',\n",
+    "  'visual.asap.warna',\n",
+    "  'visual.asap.intensitas',\n",
+    "  'visual.asap.tekanan',\n",
+    "  'visual.asap.tinggi_min',\n",
+    "  'visual.asap.tinggi_max',\n",
+    "  'visual.letusan.teramati',\n",
+    "  'visual.letusan.tinggi_min',\n",
+    "  'visual.letusan.tinggi_max',\n",
+    "  'visual.letusan.warna',\n",
+    "  'visual.awan_panas_guguran.teramati',\n",
+    "  'visual.awan_panas_guguran.jarak_min',\n",
+    "  'visual.awan_panas_guguran.jarak_max'\n",
+    "], inplace=True)\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "d03ef55a1e6d8c60",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.307482Z",
+     "start_time": "2024-04-05T10:45:16.294168Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index([], dtype='object')"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns[df.sum()==0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "7726541f6d7566dc",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.323451Z",
+     "start_time": "2024-04-05T10:45:16.309164Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "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>date</th>\n",
+       "      <th>gempa.vulkanik_dalam</th>\n",
+       "      <th>gempa.vulkanik_dangkal</th>\n",
+       "      <th>gempa.letusan_erupsi</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2017-10-01</td>\n",
+       "      <td>587</td>\n",
+       "      <td>306</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2017-10-02</td>\n",
+       "      <td>517</td>\n",
+       "      <td>356</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2017-10-03</td>\n",
+       "      <td>322</td>\n",
+       "      <td>287</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2017-10-04</td>\n",
+       "      <td>419</td>\n",
+       "      <td>281</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2017-10-05</td>\n",
+       "      <td>524</td>\n",
+       "      <td>319</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         date  gempa.vulkanik_dalam  gempa.vulkanik_dangkal  \\\n",
+       "0  2017-10-01                   587                     306   \n",
+       "1  2017-10-02                   517                     356   \n",
+       "2  2017-10-03                   322                     287   \n",
+       "3  2017-10-04                   419                     281   \n",
+       "4  2017-10-05                   524                     319   \n",
+       "\n",
+       "   gempa.letusan_erupsi  \n",
+       "0                     0  \n",
+       "1                     0  \n",
+       "2                     0  \n",
+       "3                     0  \n",
+       "4                     0  "
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.drop(columns=df.columns[df.sum()==0], inplace=True)\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "442bd12fb80954c7",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.338696Z",
+     "start_time": "2024-04-05T10:45:16.324446Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "df.set_index(keys='date', inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "1615e3892517328d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:45:16.354008Z",
+     "start_time": "2024-04-05T10:45:16.339702Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "filename = os.path.join(output_directory, \"magma_{}_{}-{}.csv\".format(volcano_code, start_date, end_date))\n",
+    "df.to_csv(filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "1f84e57dd26b724d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:56:28.432498Z",
+     "start_time": "2024-04-05T10:56:26.249711Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "colors = ['#5ba04f','#4e79a6','#f28e2b']\n",
+    "\n",
+    "fig, axs = plt.subplots(nrows=3, ncols=1, figsize=(12, 6),\n",
+    "                        layout=\"constrained\", sharex=True)\n",
+    "\n",
+    "for gempa, column_name in enumerate(df.columns):\n",
+    "    axs[gempa].bar(df.index, df[column_name], width=0.5,label=column_name, color=colors[gempa])\n",
+    "    \n",
+    "    axs[gempa].legend(loc=1)\n",
+    "    axs[gempa].set_ylabel('Jumlah')\n",
+    "    \n",
+    "    axs[gempa].xaxis.set_major_locator(mdates.DayLocator(interval=14))\n",
+    "    \n",
+    "    # Rotate x label\n",
+    "    for label in axs[gempa].get_xticklabels(which='major'):\n",
+    "        label.set(rotation=30, horizontalalignment='right')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "b131927e5b4d95d7",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:46:41.753767Z",
+     "start_time": "2024-04-05T10:46:41.736109Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "single_eruptions = df[df['gempa.letusan_erupsi'] > 0]['gempa.letusan_erupsi']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "b52e8d8e49eedc47",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:47:27.205956Z",
+     "start_time": "2024-04-05T10:47:27.197442Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['2017-11-25',\n",
+       " '2017-11-26',\n",
+       " '2017-11-27',\n",
+       " '2017-11-29',\n",
+       " '2017-12-08',\n",
+       " '2017-12-09',\n",
+       " '2017-12-10',\n",
+       " '2017-12-11',\n",
+       " '2017-12-12',\n",
+       " '2017-12-23',\n",
+       " '2017-12-24',\n",
+       " '2017-12-26',\n",
+       " '2017-12-28',\n",
+       " '2018-01-01',\n",
+       " '2018-01-03',\n",
+       " '2018-01-11',\n",
+       " '2018-01-15',\n",
+       " '2018-01-17',\n",
+       " '2018-01-18',\n",
+       " '2018-01-19',\n",
+       " '2018-01-20',\n",
+       " '2018-01-22',\n",
+       " '2018-01-23',\n",
+       " '2018-01-24',\n",
+       " '2018-02-13',\n",
+       " '2018-03-11',\n",
+       " '2018-03-26',\n",
+       " '2018-04-06',\n",
+       " '2018-04-15',\n",
+       " '2018-04-30',\n",
+       " '2018-05-19',\n",
+       " '2018-05-29',\n",
+       " '2018-06-10',\n",
+       " '2018-06-13',\n",
+       " '2018-06-15',\n",
+       " '2018-06-27',\n",
+       " '2018-07-02',\n",
+       " '2018-07-03',\n",
+       " '2018-07-04',\n",
+       " '2018-07-05',\n",
+       " '2018-07-06',\n",
+       " '2018-07-08',\n",
+       " '2018-07-09',\n",
+       " '2018-07-11',\n",
+       " '2018-07-13',\n",
+       " '2018-07-15',\n",
+       " '2018-07-16',\n",
+       " '2018-07-21',\n",
+       " '2018-07-24',\n",
+       " '2018-07-25',\n",
+       " '2018-07-27']"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "single_eruptions.index.tolist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d9525759e552019d",
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/magma.py b/magma.py
new file mode 100644
index 0000000..37427be
--- /dev/null
+++ b/magma.py
@@ -0,0 +1,166 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[69]:
+
+
+import requests
+import json
+import pandas as pd
+import os
+import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
+
+
+# In[70]:
+
+
+url = 'https://magma.esdm.go.id/api/v1/python/magma-var/evaluasi'
+token = 'eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJodHRwczpcL1wvbWFnbWEuZXNkbS5nby5pZFwvY2hhbWJlcnNcL3Rva2VuXC9nZW5lcmF0ZSIsImlhdCI6MTcxMjMxMTg1MCwiZXhwIjoxNzEyMzk4MjUwLCJuYmYiOjE3MTIzMTE4NTAsImp0aSI6IjVCc0xOOTJ0WENaY0hNNGciLCJzdWIiOjI1OCwicHJ2IjoiODdlMGFmMWVmOWZkMTU4MTJmZGVjOTcxNTNhMTRlMGIwNDc1NDZhYSIsInNvdXJjZSI6Ik1BR01BIEluZG9uZXNpYSIsImFwaV92ZXJzaW9uIjoidjEifQ.XNuYeE5kc8PpNqIV4If6Wf8EB4D9CknWgBEJ9gTjwd8'
+
+
+# In[71]:
+
+
+start_date: str = '2017-10-01'
+end_date: str = '2018-07-31'
+volcano_code: str = 'AGU'
+events = ['vta', 'vtb', 'lts']
+
+
+# In[72]:
+
+
+payload = json.dumps({
+  'start_date': start_date,
+  'end_date': end_date,
+  'code_ga': volcano_code,
+  'gempa': events
+})
+
+
+# In[73]:
+
+
+headers = {
+  'Authorization': 'Bearer '+token,
+  'Content-Type': 'application/json'
+}
+
+
+# In[74]:
+
+
+current_dir: str = os.getcwd()
+output_directory: str = os.path.join(current_dir, "output", "magma")
+os.makedirs(output_directory, exist_ok=True)
+
+
+# In[75]:
+
+
+response = requests.request("GET", url, headers=headers, data=payload)
+
+
+# In[76]:
+
+
+response_json = response.json()
+
+
+# In[77]:
+
+
+df = pd.json_normalize(response.json()['data'])
+
+
+# In[78]:
+
+
+df.drop(columns=[
+  'availability',
+  'visual.visibility',
+  'visual.cuaca',
+  'visual.asap.teramati',
+  'visual.asap.warna',
+  'visual.asap.intensitas',
+  'visual.asap.tekanan',
+  'visual.asap.tinggi_min',
+  'visual.asap.tinggi_max',
+  'visual.letusan.teramati',
+  'visual.letusan.tinggi_min',
+  'visual.letusan.tinggi_max',
+  'visual.letusan.warna',
+  'visual.awan_panas_guguran.teramati',
+  'visual.awan_panas_guguran.jarak_min',
+  'visual.awan_panas_guguran.jarak_max'
+], inplace=True)
+
+df.head()
+
+
+# In[79]:
+
+
+df.columns[df.sum()==0]
+
+
+# In[80]:
+
+
+df.drop(columns=df.columns[df.sum()==0], inplace=True)
+
+df.head()
+
+
+# In[81]:
+
+
+df.set_index(keys='date', inplace=True)
+
+
+# In[82]:
+
+
+filename = os.path.join(output_directory, "magma_{}_{}-{}.csv".format(volcano_code, start_date, end_date))
+df.to_csv(filename)
+
+
+# In[93]:
+
+
+colors = ['#5ba04f','#4e79a6','#f28e2b']
+
+fig, axs = plt.subplots(nrows=3, ncols=1, figsize=(12, 6),
+                        layout="constrained", sharex=True)
+
+for gempa, column_name in enumerate(df.columns):
+    axs[gempa].bar(df.index, df[column_name], width=0.5,label=column_name, color=colors[gempa])
+    
+    axs[gempa].legend(loc=1)
+    axs[gempa].set_ylabel('Jumlah')
+    
+    axs[gempa].xaxis.set_major_locator(mdates.DayLocator(interval=14))
+    
+    # Rotate x label
+    for label in axs[gempa].get_xticklabels(which='major'):
+        label.set(rotation=30, horizontalalignment='right')
+
+
+# In[86]:
+
+
+single_eruptions = df[df['gempa.letusan_erupsi'] > 0]['gempa.letusan_erupsi']
+
+
+# In[90]:
+
+
+single_eruptions.index.tolist()
+
+
+# In[ ]:
+
+
+
+
diff --git a/main.ipynb b/main.ipynb
index 91aa3c7..bf61709 100644
--- a/main.ipynb
+++ b/main.ipynb
@@ -2,12 +2,12 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 27,
    "id": "initial_id",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:32:01.682305Z",
-     "start_time": "2024-04-04T09:32:01.676903Z"
+     "end_time": "2024-04-05T10:48:53.551330Z",
+     "start_time": "2024-04-05T10:48:53.541817Z"
     }
    },
    "outputs": [],
@@ -34,19 +34,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 28,
    "id": "486d569993fb5b9c",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:58:33.340014Z",
-     "start_time": "2024-04-04T09:58:33.332784Z"
+     "end_time": "2024-04-05T10:48:53.597747Z",
+     "start_time": "2024-04-05T10:48:53.589213Z"
     }
    },
    "outputs": [],
    "source": [
     "network = \"VG\"\n",
-    "station = \"PSAG\"\n",
+    "station = \"TMKS\"\n",
     "location = \"00\"\n",
     "channel = \"EHZ\"\n",
     "\n",
@@ -67,19 +67,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 29,
    "id": "79e965a885f8f139",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:16.338241Z",
-     "start_time": "2024-04-04T09:29:16.333647Z"
+     "end_time": "2024-04-05T10:48:53.613111Z",
+     "start_time": "2024-04-05T10:48:53.599319Z"
     }
    },
    "outputs": [],
    "source": [
     "current_dir: str = os.getcwd()\n",
-    "sds_directory: str = r\"D:\\Projects\\dsar\\input\"\n",
+    "sds_directory: str = r\"D:\\Data\\SDS\"\n",
     "client = Client(sds_directory)\n",
     "\n",
     "output_directory: str = os.path.join(current_dir, \"output\")\n",
@@ -98,23 +98,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 30,
    "id": "a904db828f989873",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:17.243661Z",
-     "start_time": "2024-04-04T09:29:17.235271Z"
+     "end_time": "2024-04-05T10:48:53.629289Z",
+     "start_time": "2024-04-05T10:48:53.614117Z"
     }
    },
    "outputs": [],
    "source": [
-    "start_date: str = \"2017-12-01\"\n",
-    "end_date: str = \"2017-12-03\""
+    "start_date: str = \"2017-10-01\"\n",
+    "end_date: str = \"2018-07-31\""
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 31,
+   "id": "15b8190370b1edb2",
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:48:53.645073Z",
+     "start_time": "2024-04-05T10:48:53.631561Z"
+    }
+   },
    "outputs": [],
    "source": [
     "bands: dict[str, list[float]] = {\n",
@@ -123,16 +132,7 @@
     "}\n",
     "\n",
     "resample_rule: str = '10min'"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:19.354674Z",
-     "start_time": "2024-04-04T09:29:19.340111Z"
-    }
-   },
-   "id": "15b8190370b1edb2",
-   "execution_count": 5
+   ]
   },
   {
    "cell_type": "markdown",
@@ -146,13 +146,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 32,
    "id": "cb2f55a9383a957c",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:20.147836Z",
-     "start_time": "2024-04-04T09:29:20.135178Z"
+     "end_time": "2024-04-05T10:48:53.661128Z",
+     "start_time": "2024-04-05T10:48:53.647072Z"
     }
    },
    "outputs": [],
@@ -173,13 +173,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 33,
    "id": "6dc3ed4606128c71",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:21.558722Z",
-     "start_time": "2024-04-04T09:29:21.541323Z"
+     "end_time": "2024-04-05T10:48:53.676616Z",
+     "start_time": "2024-04-05T10:48:53.662103Z"
     }
    },
    "outputs": [],
@@ -212,13 +212,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 34,
    "id": "134a971b37e9cb63",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:23.138091Z",
-     "start_time": "2024-04-04T09:29:23.131574Z"
+     "end_time": "2024-04-05T10:48:53.691652Z",
+     "start_time": "2024-04-05T10:48:53.677617Z"
     }
    },
    "outputs": [],
@@ -241,16 +241,25 @@
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "Filling `streams` list variable"
-   ],
+   "id": "bfcd3b87a1ec6b6f",
    "metadata": {
     "collapsed": false
    },
-   "id": "bfcd3b87a1ec6b6f"
+   "source": [
+    "Filling `streams` list variable"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 35,
+   "id": "e965e75d99ddaa14",
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:48:53.707163Z",
+     "start_time": "2024-04-05T10:48:53.692652Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def fill_streams(date: UTCDateTime, band_values=None)-> Stream:\n",
@@ -284,29 +293,29 @@
     "    else:\n",
     "        print(\"⚠️ {} :: File(s) not found!\".format(date.strftime('%Y-%m-%d')))\n",
     "        return Stream()"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:24.610117Z",
-     "start_time": "2024-04-04T09:29:24.597990Z"
-    }
-   },
-   "id": "e965e75d99ddaa14",
-   "execution_count": 9
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "Filling `series` variable and save it to csv "
-   ],
+   "id": "b78122f26ada4fa8",
    "metadata": {
     "collapsed": false
    },
-   "id": "b78122f26ada4fa8"
+   "source": [
+    "Filling `series` variable and save it to csv "
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 36,
+   "id": "9f5e70eb79a0e445",
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:48:53.721894Z",
+     "start_time": "2024-04-05T10:48:53.710379Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def fill_series_and_save_to_csv(stream: Stream, band, band_values=None)-> pd.Series:\n",
@@ -329,29 +338,29 @@
     "    values.to_csv(os.path.join(output_directory,csv_output), header=False)\n",
     "    \n",
     "    return values"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:26.407361Z",
-     "start_time": "2024-04-04T09:29:26.400852Z"
-    }
-   },
-   "id": "9f5e70eb79a0e445",
-   "execution_count": 10
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [
-    "Combining CSV files per band and station"
-   ],
+   "id": "ecf281ea66334041",
    "metadata": {
     "collapsed": false
    },
-   "id": "ecf281ea66334041"
+   "source": [
+    "Combining CSV files per band and station"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 37,
+   "id": "ede3849cc2f943b2",
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:48:53.737939Z",
+     "start_time": "2024-04-05T10:48:53.723893Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def concatenate_csv(band: str, station=None)-> str:\n",
@@ -377,26 +386,17 @@
     "        combined_csv_files,\n",
     "        index=False, header=False)\n",
     "    return combined_csv_files"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-04T10:10:17.462020Z",
-     "start_time": "2024-04-04T10:10:17.448644Z"
-    }
-   },
-   "id": "ede3849cc2f943b2",
-   "execution_count": 49
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 38,
    "id": "32884dd26aef9bec",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T09:29:28.983969Z",
-     "start_time": "2024-04-04T09:29:28.972681Z"
+     "end_time": "2024-04-05T10:48:54.190006Z",
+     "start_time": "2024-04-05T10:48:53.740166Z"
     }
    },
    "outputs": [],
@@ -408,6 +408,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 39,
+   "id": "1fd9aeea1b12b97e",
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-05T10:56:36.014050Z",
+     "start_time": "2024-04-05T10:48:54.192014Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -416,36 +425,1764 @@
       "=====================================\n",
       "🏃‍♀️ Using HF band with values [0.1, 8.0, 16.0]\n",
       "======================================\n",
-      "⌚ Processing 2017-12-01 for VG.PSAG.00.EHZ\n",
-      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-01_VG.PSAG.00.EHZ to series\n",
-      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-01_VG.PSAG.00.EHZ.csv\n",
-      "\n",
-      "⌚ Processing 2017-12-02 for VG.PSAG.00.EHZ\n",
-      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-02_VG.PSAG.00.EHZ to series\n",
-      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-02_VG.PSAG.00.EHZ.csv\n",
-      "\n",
-      "⌚ Processing 2017-12-03 for VG.PSAG.00.EHZ\n",
-      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-03_VG.PSAG.00.EHZ to series\n",
-      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-03_VG.PSAG.00.EHZ.csv\n",
-      "\n",
-      "⌚ Combined CSV files saved into: D:\\Projects\\dsar\\output\\HF\\combined_0.1-8.0-16.0Hz_VG.PSAG.00.EHZ.csv\n",
+      "⚠️ 2017-10-01 :: File(s) not found!\n",
+      "⚠️ 2017-10-02 :: File(s) not found!\n",
+      "⚠️ 2017-10-03 :: File(s) not found!\n",
+      "⚠️ 2017-10-04 :: File(s) not found!\n",
+      "⚠️ 2017-10-05 :: File(s) not found!\n",
+      "⚠️ 2017-10-06 :: File(s) not found!\n",
+      "⚠️ 2017-10-07 :: File(s) not found!\n",
+      "⚠️ 2017-10-08 :: File(s) not found!\n",
+      "⚠️ 2017-10-09 :: File(s) not found!\n",
+      "⚠️ 2017-10-10 :: File(s) not found!\n",
+      "⚠️ 2017-10-11 :: File(s) not found!\n",
+      "⚠️ 2017-10-12 :: File(s) not found!\n",
+      "⚠️ 2017-10-13 :: File(s) not found!\n",
+      "⚠️ 2017-10-14 :: File(s) not found!\n",
+      "⚠️ 2017-10-15 :: File(s) not found!\n",
+      "⚠️ 2017-10-16 :: File(s) not found!\n",
+      "⌚ Processing 2017-10-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-10-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-10-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-11-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-11-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2017-12-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2017-12-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-01-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-01-31_VG.TMKS.00.EHZ.csv\n",
+      "⚠️ 2018-02-01 :: File(s) not found!\n",
+      "⌚ Processing 2018-02-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-02-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-02-28_VG.TMKS.00.EHZ.csv\n",
+      "⚠️ 2018-03-01 :: File(s) not found!\n",
+      "⌚ Processing 2018-03-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-03-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-03-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-04-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-04-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-05-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-05-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-06-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-06-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-8.0-16.0Hz_2018-07-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\HF\\0.1-8.0-16.0Hz_2018-07-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Combined CSV files saved into: D:\\Projects\\dsar\\output\\HF\\combined_0.1-8.0-16.0Hz_VG.TMKS.00.EHZ.csv\n",
       "\n",
       "=====================================\n",
       "🏃‍♀️ Using LF band with values [0.1, 4.5, 8.0]\n",
       "======================================\n",
-      "⌚ Processing 2017-12-01 for VG.PSAG.00.EHZ\n",
-      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-01_VG.PSAG.00.EHZ to series\n",
-      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-01_VG.PSAG.00.EHZ.csv\n",
-      "\n",
-      "⌚ Processing 2017-12-02 for VG.PSAG.00.EHZ\n",
-      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-02_VG.PSAG.00.EHZ to series\n",
-      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-02_VG.PSAG.00.EHZ.csv\n",
-      "\n",
-      "⌚ Processing 2017-12-03 for VG.PSAG.00.EHZ\n",
-      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-03_VG.PSAG.00.EHZ to series\n",
-      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-03_VG.PSAG.00.EHZ.csv\n",
-      "\n",
-      "⌚ Combined CSV files saved into: D:\\Projects\\dsar\\output\\LF\\combined_0.1-4.5-8.0Hz_VG.PSAG.00.EHZ.csv\n",
+      "⚠️ 2017-10-01 :: File(s) not found!\n",
+      "⚠️ 2017-10-02 :: File(s) not found!\n",
+      "⚠️ 2017-10-03 :: File(s) not found!\n",
+      "⚠️ 2017-10-04 :: File(s) not found!\n",
+      "⚠️ 2017-10-05 :: File(s) not found!\n",
+      "⚠️ 2017-10-06 :: File(s) not found!\n",
+      "⚠️ 2017-10-07 :: File(s) not found!\n",
+      "⚠️ 2017-10-08 :: File(s) not found!\n",
+      "⚠️ 2017-10-09 :: File(s) not found!\n",
+      "⚠️ 2017-10-10 :: File(s) not found!\n",
+      "⚠️ 2017-10-11 :: File(s) not found!\n",
+      "⚠️ 2017-10-12 :: File(s) not found!\n",
+      "⚠️ 2017-10-13 :: File(s) not found!\n",
+      "⚠️ 2017-10-14 :: File(s) not found!\n",
+      "⚠️ 2017-10-15 :: File(s) not found!\n",
+      "⚠️ 2017-10-16 :: File(s) not found!\n",
+      "⌚ Processing 2017-10-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-10-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-10-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-10-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-11-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-11-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-11-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2017-12-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2017-12-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2017-12-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-01-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-01-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-01-31_VG.TMKS.00.EHZ.csv\n",
+      "⚠️ 2018-02-01 :: File(s) not found!\n",
+      "⌚ Processing 2018-02-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-02-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-02-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-02-28_VG.TMKS.00.EHZ.csv\n",
+      "⚠️ 2018-03-01 :: File(s) not found!\n",
+      "⌚ Processing 2018-03-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-03-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-03-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-03-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-04-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-04-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-04-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-05-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-05-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-05-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-06-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-06-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-06-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-01 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-01_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-01_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-02 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-02_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-02_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-03 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-03_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-03_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-04 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-04_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-04_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-05 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-05_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-05_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-06 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-06_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-06_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-07 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-07_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-07_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-08 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-08_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-08_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-09 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-09_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-09_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-10 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-10_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-10_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-11 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-11_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-11_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-12 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-12_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-12_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-13 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-13_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-13_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-14 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-14_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-14_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-15 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-15_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-15_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-16 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-16_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-16_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-17 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-17_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-17_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-18 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-18_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-18_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-19 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-19_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-19_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-20 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-20_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-20_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-21 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-21_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-21_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-22 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-22_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-22_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-23 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-23_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-23_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-24 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-24_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-24_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-25 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-25_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-25_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-26 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-26_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-26_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-27 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-27_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-27_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-28 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-28_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-28_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-29 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-29_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-29_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-30 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-30_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-30_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Processing 2018-07-31 for VG.TMKS.00.EHZ\n",
+      "↔️ Convert stream 0.1-4.5-8.0Hz_2018-07-31_VG.TMKS.00.EHZ to series\n",
+      "💾 Saving to D:\\Projects\\dsar\\output\\LF\\0.1-4.5-8.0Hz_2018-07-31_VG.TMKS.00.EHZ.csv\n",
+      "⌚ Combined CSV files saved into: D:\\Projects\\dsar\\output\\LF\\combined_0.1-4.5-8.0Hz_VG.TMKS.00.EHZ.csv\n",
       "\n",
       "✅Finish!\n"
      ]
@@ -484,70 +2221,82 @@
     "    print(\"⌚ Combined CSV files saved into: {}\".format(combined_csv_file))\n",
     "    print(\"\")\n",
     "print(\"✅Finish!\")"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5ef93a2819b0a811",
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-04T10:11:06.193966Z",
-     "start_time": "2024-04-04T10:11:02.761279Z"
+     "end_time": "2024-04-04T12:09:47.693561Z",
+     "start_time": "2024-04-04T12:09:47.680635Z"
     }
    },
-   "id": "1fd9aeea1b12b97e",
-   "execution_count": 51
+   "outputs": [],
+   "source": [
+    "# series.keys()"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "5ef93a2819b0a811",
+   "execution_count": 15,
+   "id": "67bfbcd88a8f769",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-04T12:09:47.708823Z",
+     "start_time": "2024-04-04T12:09:47.695890Z"
+    }
    },
    "outputs": [],
    "source": [
-    "series.keys()"
+    "# series['LF'].keys()"
    ]
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [
-    "series['LF'].keys()"
-   ],
+   "execution_count": 16,
+   "id": "614421545c7d522f",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-04T12:09:47.720302Z",
+     "start_time": "2024-04-04T12:09:47.710265Z"
+    }
    },
-   "id": "67bfbcd88a8f769",
-   "execution_count": null
-  },
-  {
-   "cell_type": "code",
    "outputs": [],
    "source": [
-    "series['HF']['2017-12-01']"
-   ],
-   "metadata": {
-    "collapsed": false
-   },
-   "id": "614421545c7d522f",
-   "execution_count": null
+    "# series['HF']['2017-12-01']"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "d9eed1167b340ea7",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "ExecuteTime": {
+     "end_time": "2024-04-04T12:09:47.735400Z",
+     "start_time": "2024-04-04T12:09:47.721585Z"
+    }
    },
    "outputs": [],
    "source": [
-    "series['HF']['2017-12-01'].plot()"
+    "# series['HF']['2017-12-01'].plot()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "2403dd15-3a07-4fa7-90c7-f08c30ac5058",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-04T12:09:47.750361Z",
+     "start_time": "2024-04-04T12:09:47.736615Z"
+    }
+   },
    "outputs": [],
    "source": []
   }
diff --git a/main.py b/main.py
index b254f58..a7f4446 100644
--- a/main.py
+++ b/main.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # coding: utf-8
 
-# In[14]:
+# In[27]:
 
 
 import pandas as pd
@@ -16,11 +16,11 @@
 
 # Initiate station variables
 
-# In[34]:
+# In[28]:
 
 
 network = "VG"
-station = "PSAG"
+station = "TMKS"
 location = "00"
 channel = "EHZ"
 
@@ -31,11 +31,11 @@
 # The `sds_directory` based on Seiscomp Data Structure (https://www.seiscomp.de/seiscomp3/doc/applications/slarchive/SDS.html)  
 # The example of the SDS Directory can be found inside `input` directory
 
-# In[3]:
+# In[29]:
 
 
 current_dir: str = os.getcwd()
-sds_directory: str = r"D:\Projects\dsar\input"
+sds_directory: str = r"D:\Data\SDS"
 client = Client(sds_directory)
 
 output_directory: str = os.path.join(current_dir, "output")
@@ -44,14 +44,14 @@
 
 # Add start_date and end_date parameters
 
-# In[4]:
+# In[30]:
 
 
-start_date: str = "2017-12-01"
-end_date: str = "2017-12-03"
+start_date: str = "2017-10-01"
+end_date: str = "2018-07-31"
 
 
-# In[5]:
+# In[31]:
 
 
 bands: dict[str, list[float]] = {
@@ -64,7 +64,7 @@
 
 # A method to generate list of date between two date periods. Returning `pd.DatetimeIndex`
 
-# In[6]:
+# In[32]:
 
 
 def get_dates(start: str, end: str) -> pd.DatetimeIndex:
@@ -73,7 +73,7 @@ def get_dates(start: str, end: str) -> pd.DatetimeIndex:
 
 # Stream processing to get `dsar` values
 
-# In[7]:
+# In[33]:
 
 
 def stream_processing(
@@ -94,7 +94,7 @@ def stream_processing(
 
 # Convert calculated `dsar` value into `pd.Series`
 
-# In[8]:
+# In[34]:
 
 
 def convert_stream_to_series(stream: Stream) -> pd.Series:
@@ -115,7 +115,7 @@ def convert_stream_to_series(stream: Stream) -> pd.Series:
 
 # Filling `streams` list variable
 
-# In[9]:
+# In[35]:
 
 
 def fill_streams(date: UTCDateTime, band_values=None)-> Stream:
@@ -153,7 +153,7 @@ def fill_streams(date: UTCDateTime, band_values=None)-> Stream:
 
 # Filling `series` variable and save it to csv 
 
-# In[10]:
+# In[36]:
 
 
 def fill_series_and_save_to_csv(stream: Stream, band, band_values=None)-> pd.Series:
@@ -180,7 +180,7 @@ def fill_series_and_save_to_csv(stream: Stream, band, band_values=None)-> pd.Ser
 
 # Combining CSV files per band and station
 
-# In[49]:
+# In[37]:
 
 
 def concatenate_csv(band: str, station=None)-> str:
@@ -208,7 +208,7 @@ def concatenate_csv(band: str, station=None)-> str:
     return combined_csv_files
 
 
-# In[12]:
+# In[38]:
 
 
 dates: list[UTCDateTime] = [UTCDateTime(date) for date in get_dates(start_date, end_date)]
@@ -216,7 +216,7 @@ def concatenate_csv(band: str, station=None)-> str:
 series: dict[str, dict[str, pd.Series]] = {}
 
 
-# In[51]:
+# In[39]:
 
 
 # We can optimize this using parallel computation
@@ -252,3 +252,33 @@ def concatenate_csv(band: str, station=None)-> str:
     print("")
 print("✅Finish!")
 
+
+# In[14]:
+
+
+# series.keys()
+
+
+# In[15]:
+
+
+# series['LF'].keys()
+
+
+# In[16]:
+
+
+# series['HF']['2017-12-01']
+
+
+# In[17]:
+
+
+# series['HF']['2017-12-01'].plot()
+
+
+# In[17]:
+
+
+
+
diff --git a/plot.ipynb b/plot.ipynb
index a5c2639..ea83248 100644
--- a/plot.ipynb
+++ b/plot.ipynb
@@ -2,13 +2,16 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "id": "initial_id",
    "metadata": {
-    "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2024-04-05T09:24:24.135079Z",
-     "start_time": "2024-04-05T09:24:24.121244Z"
+     "end_time": "2024-04-05T11:54:54.232832Z",
+     "start_time": "2024-04-05T11:54:54.214712Z"
+    },
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
     }
    },
    "outputs": [],
@@ -23,157 +26,305 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 18,
+   "id": "7668a2c1860a151f",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:54:54.264089Z",
+     "start_time": "2024-04-05T11:54:54.248234Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "outputs": [],
    "source": [
-    "dsar_directory = r'D:\\Projects\\dsar\\output\\dsar'\n",
+    "current_dir: str = os.getcwd()\n",
+    "output_directory: str = os.path.join(current_dir, \"output\")\n",
+    "magma_directory: str = os.path.join(output_directory, \"magma\")\n",
+    "dsar_directory: str = r'D:\\Projects\\dsar\\output\\dsar'\n",
     "\n",
-    "stations = [\n",
+    "stations: list[str] = [\n",
     "    'VG.PSAG.00.EHZ',\n",
     "    'VG.TMKS.00.EHZ',\n",
     "]"
-   ],
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "9792545c2b66fe50",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-05T09:24:38.768943Z",
-     "start_time": "2024-04-05T09:24:38.752933Z"
+     "end_time": "2024-04-05T11:54:54.279810Z",
+     "start_time": "2024-04-05T11:54:54.274629Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "7668a2c1860a151f",
-   "execution_count": 19
+   "outputs": [],
+   "source": [
+    "# Optional, you can ignore it.\n",
+    "# only use in Indonesia\n",
+    "plot_from_magma: bool = False\n",
+    "magma_csv: str = 'magma_AGU_2017-10-01-2018-07-31.csv'\n",
+    "magma_df = pd.read_csv(os.path.join(magma_directory, magma_csv), \n",
+    "                           index_col='date', parse_dates=True) if plot_from_magma else pd.DataFrame"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 20,
+   "id": "f773f77f86566756",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:54:54.310673Z",
+     "start_time": "2024-04-05T11:54:54.292139Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "outputs": [],
    "source": [
-    "continous_eruptions = [\n",
+    "# start date, end date of eruption\n",
+    "continous_eruptions: list[list[str]] = [\n",
     "    ['2017-11-21', '2017-11-29'],\n",
     "    ['2018-06-27', '2018-07-16'],\n",
     "    ['2018-07-24', '2018-07-27'],\n",
     "]\n",
     "\n",
-    "single_eruptions = [\n",
+    "single_eruptions: list[str] = [\n",
+    "    '2017-11-25',\n",
+    "    '2017-11-26',\n",
+    "    '2017-11-27',\n",
+    "    '2017-11-29',\n",
+    "    '2017-12-08',\n",
+    "    '2017-12-09',\n",
+    "    '2017-12-10',\n",
+    "    '2017-12-11',\n",
+    "    '2017-12-12',\n",
+    "    '2017-12-23',\n",
+    "    '2017-12-24',\n",
+    "    '2017-12-26',\n",
+    "    '2017-12-28',\n",
+    "    '2018-01-01',\n",
+    "    '2018-01-03',\n",
+    "    '2018-01-11',\n",
+    "    '2018-01-15',\n",
+    "    '2018-01-17',\n",
+    "    '2018-01-18',\n",
+    "    '2018-01-19',\n",
+    "    '2018-01-20',\n",
+    "    '2018-01-22',\n",
+    "    '2018-01-23',\n",
+    "    '2018-01-24',\n",
+    "    '2018-02-13',\n",
+    "    '2018-03-11',\n",
+    "    '2018-03-26',\n",
+    "    '2018-04-06',\n",
+    "    '2018-04-15',\n",
+    "    '2018-04-30',\n",
+    "    '2018-05-19',\n",
     "    '2018-05-29',\n",
     "    '2018-06-10',\n",
     "    '2018-06-13',\n",
     "    '2018-06-15',\n",
+    "    '2018-06-27',\n",
+    "    '2018-07-02',\n",
+    "    '2018-07-03',\n",
+    "    '2018-07-04',\n",
+    "    '2018-07-05',\n",
+    "    '2018-07-06',\n",
+    "    '2018-07-08',\n",
+    "    '2018-07-09',\n",
+    "    '2018-07-11',\n",
+    "    '2018-07-13',\n",
+    "    '2018-07-15',\n",
+    "    '2018-07-16',\n",
     "    '2018-07-21',\n",
     "    '2018-07-24',\n",
-    "]"
-   ],
+    "    '2018-07-25',\n",
+    "    '2018-07-27']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "773d4747d7ca8ad9",
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:54:54.326751Z",
+     "start_time": "2024-04-05T11:54:54.312183Z"
+    },
     "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "def get_nrows()-> int:\n",
+    "    if plot_from_magma:\n",
+    "        return len(stations)+len(magma_df.columns)\n",
+    "    return len(stations)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "d39ba2288583a65c",
+   "metadata": {
     "ExecuteTime": {
-     "end_time": "2024-04-05T09:24:39.031004Z",
-     "start_time": "2024-04-05T09:24:39.021551Z"
+     "end_time": "2024-04-05T11:54:54.342410Z",
+     "start_time": "2024-04-05T11:54:54.327735Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "f773f77f86566756",
-   "execution_count": 20
+   "outputs": [],
+   "source": [
+    "def merge_stations_and_eq_events() -> list[str]:\n",
+    "    if plot_from_magma:\n",
+    "        return magma_df.columns.tolist() + stations\n",
+    "    return stations"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 25,
+   "id": "37fbf718c8cbb8e3",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-04-05T11:54:55.611431Z",
+     "start_time": "2024-04-05T11:54:54.423924Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1200x600 with 2 Axes>",
-      "image/png": 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"
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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "fig, axs = plt.subplots(nrows=len(stations), ncols=1, figsize=(12, 3*len(stations)),\n",
+    "fig, axs = plt.subplots(nrows=get_nrows(), ncols=1, figsize=(12, 3*get_nrows()),\n",
     "                        layout=\"constrained\", sharex=True)\n",
     "\n",
-    "for index, station in enumerate(stations):\n",
-    "    df = pd.read_csv(os.path.join(dsar_directory, 'DSAR_{}.csv'.format(station)), \n",
-    "                 index_col='datetime', parse_dates=True)\n",
-    "    \n",
-    "    _,trend = hpfilter(df.DSAR, 1000000)\n",
-    "    axs[index].scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='10 minutes'.format(station))\n",
-    "    axs[index].plot(df.index, trend, c='red', label='Smoothed (HP Filter)'.format(station), alpha=1)\n",
+    "for index_key, station in enumerate(merge_stations_and_eq_events()):\n",
     "    \n",
-    "    axs[index].set_title(station)\n",
-    "    axs[index].legend(loc=3)\n",
-    "    axs[index].set_ylabel('DSAR')\n",
+    "    # (optional) Plotting grafik from MAGMA \n",
+    "    if plot_from_magma and index_key < len(magma_df.columns):\n",
+    "        axs[index_key].bar(magma_df.index, magma_df[station], width=0.5,label=station)\n",
+    "        \n",
+    "        axs[index_key].legend(loc=1)\n",
+    "        axs[index_key].set_ylabel('Jumlah')\n",
+    "            \n",
+    "        axs[index_key].xaxis.set_major_locator(mdates.DayLocator(interval=14))\n",
     "    \n",
-    "    # Plot label only for the last subplot\n",
-    "    if index == (len(stations)-1):\n",
-    "        axs[index].set_xlabel('Date')\n",
+    "    # Default plot\n",
+    "    else:\n",
+    "        df = pd.read_csv(os.path.join(dsar_directory, 'DSAR_{}.csv'.format(station)), \n",
+    "                     index_col='datetime', parse_dates=True)\n",
     "\n",
-    "    axs[index].xaxis.set_major_locator(mdates.DayLocator(interval=14))\n",
-    "    axs[index].xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n",
-    "    \n",
-    "    # Change your limit of DSAR value\n",
-    "    axs[index].set_ylim(0,6.5)\n",
+    "        # HP filter documentation https://www.statsmodels.org/stable/generated/statsmodels.tsa.filters.hp_filter.hpfilter.html\n",
+    "        _,trend = hpfilter(df.DSAR, 1000000)\n",
+    "        axs[index_key].scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='10 minutes')\n",
+    "        axs[index_key].plot(df.index, trend, c='red', label='Smoothed (HP Filter)'.format(station), alpha=1)\n",
+    "\n",
+    "        axs[index_key].set_title(station)\n",
+    "        axs[index_key].legend(loc=3)\n",
+    "        axs[index_key].set_ylabel('DSAR')\n",
+    "\n",
+    "        # Plot label only for the last subplot\n",
+    "        if index_key == (len(stations)-1):\n",
+    "            axs[index_key].set_xlabel('Date')\n",
+    "\n",
+    "        axs[index_key].xaxis.set_major_locator(mdates.DayLocator(interval=14))\n",
+    "        axs[index_key].xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n",
+    "\n",
+    "        # Change your limit of DSAR value\n",
+    "        axs[index_key].set_ylim(0,6.5)\n",
     "    \n",
     "    # Plotting continous eruptions\n",
     "    for continous in continous_eruptions:\n",
     "        # continous[0] = start date of eruption\n",
     "        # continous[1] = end date of eruption \n",
-    "        axs[index].axvspan(continous[0], continous[1], alpha=0.4, color='orange')\n",
+    "        axs[index_key].axvspan(datetime.strptime(continous[0], '%Y-%m-%d'), \n",
+    "                               datetime.strptime(continous[1], '%Y-%m-%d'), alpha=0.4, color='orange')\n",
     "    \n",
     "    # Plotting single eruptions\n",
     "    for date in single_eruptions:\n",
-    "        axs[index].axvline(datetime.strptime(date, '%Y-%m-%d'), alpha=0.4, color='orange')\n",
+    "        axs[index_key].axvline(datetime.strptime(date, '%Y-%m-%d'), alpha=0.4, color='orange')\n",
     "\n",
-    "    # Rotate label\n",
-    "    for label in axs[index].get_xticklabels(which='major'):\n",
+    "    # Rotate x label\n",
+    "    for label in axs[index_key].get_xticklabels(which='major'):\n",
     "        label.set(rotation=30, horizontalalignment='right')"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-05T09:42:07.531668Z",
-     "start_time": "2024-04-05T09:42:06.455508Z"
-    }
-   },
-   "id": "c47f70732a67af70",
-   "execution_count": 38
+   ]
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [],
+   "execution_count": 22,
+   "id": "8fb77681a94a8a06",
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-04-05T09:24:40.497681Z",
      "start_time": "2024-04-05T09:24:40.483107Z"
+    },
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
    },
-   "id": "8fb77681a94a8a06",
-   "execution_count": 22
+   "outputs": [],
+   "source": []
   },
   {
    "cell_type": "code",
-   "outputs": [],
-   "source": [],
+   "execution_count": null,
+   "id": "a290579686e0f20b",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
-   "id": "a290579686e0f20b"
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/plot.py b/plot.py
new file mode 100644
index 0000000..57a7356
--- /dev/null
+++ b/plot.py
@@ -0,0 +1,189 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[17]:
+
+
+import pandas as pd
+import os
+import matplotlib.pyplot as plt
+import matplotlib.dates as mdates
+from statsmodels.tsa.filters.hp_filter import hpfilter
+from datetime import datetime
+
+
+# In[18]:
+
+
+current_dir: str = os.getcwd()
+output_directory: str = os.path.join(current_dir, "output")
+magma_directory: str = os.path.join(output_directory, "magma")
+dsar_directory: str = r'D:\Projects\dsar\output\dsar'
+
+stations: list[str] = [
+    'VG.PSAG.00.EHZ',
+    'VG.TMKS.00.EHZ',
+]
+
+
+# In[19]:
+
+
+# Optional, you can ignore it.
+# only use in Indonesia
+plot_from_magma: bool = False
+magma_csv: str = 'magma_AGU_2017-10-01-2018-07-31.csv'
+magma_df = pd.read_csv(os.path.join(magma_directory, magma_csv), 
+                           index_col='date', parse_dates=True) if plot_from_magma else pd.DataFrame
+
+
+# In[20]:
+
+
+# start date, end date of eruption
+continous_eruptions: list[list[str]] = [
+    ['2017-11-21', '2017-11-29'],
+    ['2018-06-27', '2018-07-16'],
+    ['2018-07-24', '2018-07-27'],
+]
+
+single_eruptions: list[str] = [
+    '2017-11-25',
+    '2017-11-26',
+    '2017-11-27',
+    '2017-11-29',
+    '2017-12-08',
+    '2017-12-09',
+    '2017-12-10',
+    '2017-12-11',
+    '2017-12-12',
+    '2017-12-23',
+    '2017-12-24',
+    '2017-12-26',
+    '2017-12-28',
+    '2018-01-01',
+    '2018-01-03',
+    '2018-01-11',
+    '2018-01-15',
+    '2018-01-17',
+    '2018-01-18',
+    '2018-01-19',
+    '2018-01-20',
+    '2018-01-22',
+    '2018-01-23',
+    '2018-01-24',
+    '2018-02-13',
+    '2018-03-11',
+    '2018-03-26',
+    '2018-04-06',
+    '2018-04-15',
+    '2018-04-30',
+    '2018-05-19',
+    '2018-05-29',
+    '2018-06-10',
+    '2018-06-13',
+    '2018-06-15',
+    '2018-06-27',
+    '2018-07-02',
+    '2018-07-03',
+    '2018-07-04',
+    '2018-07-05',
+    '2018-07-06',
+    '2018-07-08',
+    '2018-07-09',
+    '2018-07-11',
+    '2018-07-13',
+    '2018-07-15',
+    '2018-07-16',
+    '2018-07-21',
+    '2018-07-24',
+    '2018-07-25',
+    '2018-07-27']
+
+
+# In[21]:
+
+
+def get_nrows()-> int:
+    if plot_from_magma:
+        return len(stations)+len(magma_df.columns)
+    return len(stations)
+
+
+# In[22]:
+
+
+def merge_stations_and_eq_events() -> list[str]:
+    if plot_from_magma:
+        return magma_df.columns.tolist() + stations
+    return stations
+
+
+# In[25]:
+
+
+fig, axs = plt.subplots(nrows=get_nrows(), ncols=1, figsize=(12, 3*get_nrows()),
+                        layout="constrained", sharex=True)
+
+for index_key, station in enumerate(merge_stations_and_eq_events()):
+    
+    # (optional) Plotting grafik from MAGMA 
+    if plot_from_magma and index_key < len(magma_df.columns):
+        axs[index_key].bar(magma_df.index, magma_df[station], width=0.5,label=station)
+        
+        axs[index_key].legend(loc=1)
+        axs[index_key].set_ylabel('Jumlah')
+            
+        axs[index_key].xaxis.set_major_locator(mdates.DayLocator(interval=14))
+    
+    # Default plot
+    else:
+        df = pd.read_csv(os.path.join(dsar_directory, 'DSAR_{}.csv'.format(station)), 
+                     index_col='datetime', parse_dates=True)
+
+        # HP filter documentation https://www.statsmodels.org/stable/generated/statsmodels.tsa.filters.hp_filter.hpfilter.html
+        _,trend = hpfilter(df.DSAR, 1000000)
+        axs[index_key].scatter(df.index, df.DSAR, c= 'k', alpha=0.3, s=10, label='10 minutes')
+        axs[index_key].plot(df.index, trend, c='red', label='Smoothed (HP Filter)'.format(station), alpha=1)
+
+        axs[index_key].set_title(station)
+        axs[index_key].legend(loc=3)
+        axs[index_key].set_ylabel('DSAR')
+
+        # Plot label only for the last subplot
+        if index_key == (len(stations)-1):
+            axs[index_key].set_xlabel('Date')
+
+        axs[index_key].xaxis.set_major_locator(mdates.DayLocator(interval=14))
+        axs[index_key].xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
+
+        # Change your limit of DSAR value
+        axs[index_key].set_ylim(0,6.5)
+    
+    # Plotting continous eruptions
+    for continous in continous_eruptions:
+        # continous[0] = start date of eruption
+        # continous[1] = end date of eruption 
+        axs[index_key].axvspan(datetime.strptime(continous[0], '%Y-%m-%d'), 
+                               datetime.strptime(continous[1], '%Y-%m-%d'), alpha=0.4, color='orange')
+    
+    # Plotting single eruptions
+    for date in single_eruptions:
+        axs[index_key].axvline(datetime.strptime(date, '%Y-%m-%d'), alpha=0.4, color='orange')
+
+    # Rotate x label
+    for label in axs[index_key].get_xticklabels(which='major'):
+        label.set(rotation=30, horizontalalignment='right')
+
+
+# In[22]:
+
+
+
+
+
+# In[ ]:
+
+
+
+