diff --git a/.gitignore b/.gitignore
index 581f276..ad52b48 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,4 @@
 data
 build
 out.txt
-result.csv
\ No newline at end of file
+*.csv
\ No newline at end of file
diff --git a/data.ipynb b/data.ipynb
index 9e0ca72..a747e50 100644
--- a/data.ipynb
+++ b/data.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 20,
    "id": "2acce44b",
    "metadata": {},
    "outputs": [],
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 21,
    "id": "5ba70af7",
    "metadata": {},
    "outputs": [
@@ -111,7 +111,7 @@
        "7317758  0.410369  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -124,8 +124,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "id": "d4b22f3b",
+   "execution_count": 23,
+   "id": "3b320537",
    "metadata": {},
    "outputs": [
     {
@@ -150,67 +150,190 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Timestamp</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>High</th>\n",
        "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
        "      <th>Close</th>\n",
+       "      <th>Volume</th>\n",
+       "      <th>Avg</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>5078</th>\n",
-       "      <td>2025-11-26</td>\n",
-       "      <td>86304.0</td>\n",
-       "      <td>90646.0</td>\n",
-       "      <td>87331.0</td>\n",
-       "      <td>90477.0</td>\n",
+       "      <th>7317754</th>\n",
+       "      <td>2025-11-30 23:55:00+00:00</td>\n",
+       "      <td>90405.0</td>\n",
+       "      <td>90452.0</td>\n",
+       "      <td>90403.0</td>\n",
+       "      <td>90452.0</td>\n",
+       "      <td>0.531700</td>\n",
+       "      <td>90427.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5079</th>\n",
-       "      <td>2025-11-27</td>\n",
-       "      <td>90091.0</td>\n",
-       "      <td>91926.0</td>\n",
-       "      <td>90476.0</td>\n",
-       "      <td>91325.0</td>\n",
+       "      <th>7317755</th>\n",
+       "      <td>2025-11-30 23:56:00+00:00</td>\n",
+       "      <td>90452.0</td>\n",
+       "      <td>90481.0</td>\n",
+       "      <td>90420.0</td>\n",
+       "      <td>90420.0</td>\n",
+       "      <td>0.055547</td>\n",
+       "      <td>90450.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5080</th>\n",
-       "      <td>2025-11-28</td>\n",
-       "      <td>90233.0</td>\n",
-       "      <td>93091.0</td>\n",
-       "      <td>91326.0</td>\n",
-       "      <td>90913.0</td>\n",
+       "      <th>7317756</th>\n",
+       "      <td>2025-11-30 23:57:00+00:00</td>\n",
+       "      <td>90412.0</td>\n",
+       "      <td>90458.0</td>\n",
+       "      <td>90396.0</td>\n",
+       "      <td>90435.0</td>\n",
+       "      <td>0.301931</td>\n",
+       "      <td>90427.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5081</th>\n",
-       "      <td>2025-11-29</td>\n",
-       "      <td>90216.0</td>\n",
-       "      <td>91179.0</td>\n",
-       "      <td>90913.0</td>\n",
-       "      <td>90832.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5082</th>\n",
-       "      <td>2025-11-30</td>\n",
+       "      <th>7317757</th>\n",
+       "      <td>2025-11-30 23:58:00+00:00</td>\n",
+       "      <td>90428.0</td>\n",
+       "      <td>90428.0</td>\n",
+       "      <td>90362.0</td>\n",
+       "      <td>90362.0</td>\n",
+       "      <td>4.591653</td>\n",
+       "      <td>90395.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7317758</th>\n",
+       "      <td>2025-11-30 23:59:00+00:00</td>\n",
+       "      <td>90363.0</td>\n",
+       "      <td>90386.0</td>\n",
        "      <td>90362.0</td>\n",
-       "      <td>91969.0</td>\n",
-       "      <td>90832.0</td>\n",
        "      <td>90382.0</td>\n",
+       "      <td>0.410369</td>\n",
+       "      <td>90374.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "       Timestamp      Low     High     Open    Close\n",
-       "5078  2025-11-26  86304.0  90646.0  87331.0  90477.0\n",
-       "5079  2025-11-27  90091.0  91926.0  90476.0  91325.0\n",
-       "5080  2025-11-28  90233.0  93091.0  91326.0  90913.0\n",
-       "5081  2025-11-29  90216.0  91179.0  90913.0  90832.0\n",
-       "5082  2025-11-30  90362.0  91969.0  90832.0  90382.0"
+       "                        Timestamp     Open     High      Low    Close  \\\n",
+       "7317754 2025-11-30 23:55:00+00:00  90405.0  90452.0  90403.0  90452.0   \n",
+       "7317755 2025-11-30 23:56:00+00:00  90452.0  90481.0  90420.0  90420.0   \n",
+       "7317756 2025-11-30 23:57:00+00:00  90412.0  90458.0  90396.0  90435.0   \n",
+       "7317757 2025-11-30 23:58:00+00:00  90428.0  90428.0  90362.0  90362.0   \n",
+       "7317758 2025-11-30 23:59:00+00:00  90363.0  90386.0  90362.0  90382.0   \n",
+       "\n",
+       "           Volume      Avg  \n",
+       "7317754  0.531700  90427.5  \n",
+       "7317755  0.055547  90450.5  \n",
+       "7317756  0.301931  90427.0  \n",
+       "7317757  4.591653  90395.0  \n",
+       "7317758  0.410369  90374.0  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Avg'] = (df['Low'] + df['High']) / 2\n",
+    "df.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "4b1cd63c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Timestamp</th>\n",
+       "      <th>Avg</th>\n",
+       "      <th>OpenMin</th>\n",
+       "      <th>OpenMax</th>\n",
+       "      <th>CloseMin</th>\n",
+       "      <th>CloseMax</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>5078</th>\n",
+       "      <td>2025-11-26</td>\n",
+       "      <td>88057.301736</td>\n",
+       "      <td>86312.0</td>\n",
+       "      <td>90574.0</td>\n",
+       "      <td>86323.0</td>\n",
+       "      <td>90574.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5079</th>\n",
+       "      <td>2025-11-27</td>\n",
+       "      <td>91245.092708</td>\n",
+       "      <td>90126.0</td>\n",
+       "      <td>91888.0</td>\n",
+       "      <td>90126.0</td>\n",
+       "      <td>91925.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5080</th>\n",
+       "      <td>2025-11-28</td>\n",
+       "      <td>91324.308681</td>\n",
+       "      <td>90255.0</td>\n",
+       "      <td>92970.0</td>\n",
+       "      <td>90283.0</td>\n",
+       "      <td>92966.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5081</th>\n",
+       "      <td>2025-11-29</td>\n",
+       "      <td>90746.479514</td>\n",
+       "      <td>90265.0</td>\n",
+       "      <td>91158.0</td>\n",
+       "      <td>90279.0</td>\n",
+       "      <td>91179.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5082</th>\n",
+       "      <td>2025-11-30</td>\n",
+       "      <td>91187.356250</td>\n",
+       "      <td>90363.0</td>\n",
+       "      <td>91940.0</td>\n",
+       "      <td>90362.0</td>\n",
+       "      <td>91940.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Timestamp           Avg  OpenMin  OpenMax  CloseMin  CloseMax\n",
+       "5078  2025-11-26  88057.301736  86312.0  90574.0   86323.0   90574.0\n",
+       "5079  2025-11-27  91245.092708  90126.0  91888.0   90126.0   91925.0\n",
+       "5080  2025-11-28  91324.308681  90255.0  92970.0   90283.0   92966.0\n",
+       "5081  2025-11-29  90746.479514  90265.0  91158.0   90279.0   91179.0\n",
+       "5082  2025-11-30  91187.356250  90363.0  91940.0   90362.0   91940.0"
+      ]
+     },
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -218,7 +341,13 @@
    "source": [
     "df_days = (\n",
     "    df.groupby(df[\"Timestamp\"].dt.date)\n",
-    "    .agg({\"Low\": \"min\", \"High\": \"max\", \"Open\": \"first\", \"Close\": \"last\"})\n",
+    "    .agg(\n",
+    "        Avg=(\"Avg\", \"mean\"),\n",
+    "        OpenMin=(\"Open\", \"min\"),\n",
+    "        OpenMax=(\"Open\", \"max\"),\n",
+    "        CloseMin=(\"Close\", \"min\"),\n",
+    "        CloseMax=(\"Close\", \"max\"),\n",
+    "    )\n",
     "    .reset_index()\n",
     ")\n",
     "df_days.tail()"
@@ -226,111 +355,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "id": "91823496",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Timestamp</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Open</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Avg</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>5078</th>\n",
-       "      <td>2025-11-26</td>\n",
-       "      <td>86304.0</td>\n",
-       "      <td>90646.0</td>\n",
-       "      <td>87331.0</td>\n",
-       "      <td>90477.0</td>\n",
-       "      <td>88475.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5079</th>\n",
-       "      <td>2025-11-27</td>\n",
-       "      <td>90091.0</td>\n",
-       "      <td>91926.0</td>\n",
-       "      <td>90476.0</td>\n",
-       "      <td>91325.0</td>\n",
-       "      <td>91008.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5080</th>\n",
-       "      <td>2025-11-28</td>\n",
-       "      <td>90233.0</td>\n",
-       "      <td>93091.0</td>\n",
-       "      <td>91326.0</td>\n",
-       "      <td>90913.0</td>\n",
-       "      <td>91662.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5081</th>\n",
-       "      <td>2025-11-29</td>\n",
-       "      <td>90216.0</td>\n",
-       "      <td>91179.0</td>\n",
-       "      <td>90913.0</td>\n",
-       "      <td>90832.0</td>\n",
-       "      <td>90697.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5082</th>\n",
-       "      <td>2025-11-30</td>\n",
-       "      <td>90362.0</td>\n",
-       "      <td>91969.0</td>\n",
-       "      <td>90832.0</td>\n",
-       "      <td>90382.0</td>\n",
-       "      <td>91165.5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       Timestamp      Low     High     Open    Close      Avg\n",
-       "5078  2025-11-26  86304.0  90646.0  87331.0  90477.0  88475.0\n",
-       "5079  2025-11-27  90091.0  91926.0  90476.0  91325.0  91008.5\n",
-       "5080  2025-11-28  90233.0  93091.0  91326.0  90913.0  91662.0\n",
-       "5081  2025-11-29  90216.0  91179.0  90913.0  90832.0  90697.5\n",
-       "5082  2025-11-30  90362.0  91969.0  90832.0  90382.0  91165.5"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_days[\"Avg\"] = (df_days[\"Low\"] + df_days[\"High\"]) / 2\n",
-    "df_days.tail()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "id": "9a7b3310",
    "metadata": {},
    "outputs": [
@@ -358,6 +383,8 @@
        "      <th>start_date</th>\n",
        "      <th>end_date</th>\n",
        "      <th>min_open</th>\n",
+       "      <th>max_open</th>\n",
+       "      <th>min_close</th>\n",
        "      <th>max_close</th>\n",
        "      <th>start_avg</th>\n",
        "      <th>end_avg</th>\n",
@@ -366,76 +393,86 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>335</th>\n",
+       "      <th>316</th>\n",
        "      <td>2025-02-27</td>\n",
-       "      <td>2025-04-23</td>\n",
-       "      <td>76252.0</td>\n",
-       "      <td>94273.0</td>\n",
-       "      <td>84801.5</td>\n",
-       "      <td>93335.0</td>\n",
-       "      <td>0.100629</td>\n",
+       "      <td>2025-04-25</td>\n",
+       "      <td>74509.0</td>\n",
+       "      <td>95801.0</td>\n",
+       "      <td>74515.0</td>\n",
+       "      <td>95800.0</td>\n",
+       "      <td>85166.063889</td>\n",
+       "      <td>94303.907292</td>\n",
+       "      <td>0.107294</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>336</th>\n",
-       "      <td>2025-04-24</td>\n",
-       "      <td>2025-05-09</td>\n",
-       "      <td>93730.0</td>\n",
-       "      <td>103261.0</td>\n",
-       "      <td>92867.5</td>\n",
-       "      <td>103341.0</td>\n",
-       "      <td>0.112779</td>\n",
+       "      <th>317</th>\n",
+       "      <td>2025-04-26</td>\n",
+       "      <td>2025-05-11</td>\n",
+       "      <td>92877.0</td>\n",
+       "      <td>104971.0</td>\n",
+       "      <td>92872.0</td>\n",
+       "      <td>104965.0</td>\n",
+       "      <td>94500.950347</td>\n",
+       "      <td>104182.167708</td>\n",
+       "      <td>0.102446</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>337</th>\n",
-       "      <td>2025-05-10</td>\n",
+       "      <th>318</th>\n",
+       "      <td>2025-05-12</td>\n",
        "      <td>2025-07-11</td>\n",
-       "      <td>100990.0</td>\n",
-       "      <td>117579.0</td>\n",
-       "      <td>103915.0</td>\n",
-       "      <td>117032.5</td>\n",
-       "      <td>0.126233</td>\n",
+       "      <td>98384.0</td>\n",
+       "      <td>118833.0</td>\n",
+       "      <td>98382.0</td>\n",
+       "      <td>118839.0</td>\n",
+       "      <td>103569.791319</td>\n",
+       "      <td>117463.666667</td>\n",
+       "      <td>0.134150</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>338</th>\n",
+       "      <th>319</th>\n",
        "      <td>2025-07-12</td>\n",
        "      <td>2025-11-04</td>\n",
-       "      <td>106470.0</td>\n",
-       "      <td>124728.0</td>\n",
-       "      <td>117599.0</td>\n",
-       "      <td>103079.0</td>\n",
-       "      <td>0.123470</td>\n",
+       "      <td>98944.0</td>\n",
+       "      <td>126202.0</td>\n",
+       "      <td>98943.0</td>\n",
+       "      <td>126202.0</td>\n",
+       "      <td>117640.026389</td>\n",
+       "      <td>103712.985764</td>\n",
+       "      <td>0.118387</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>339</th>\n",
+       "      <th>320</th>\n",
        "      <td>2025-11-05</td>\n",
        "      <td>2025-11-18</td>\n",
-       "      <td>92112.0</td>\n",
-       "      <td>105972.0</td>\n",
-       "      <td>101737.5</td>\n",
-       "      <td>91471.0</td>\n",
-       "      <td>0.100912</td>\n",
+       "      <td>89291.0</td>\n",
+       "      <td>107343.0</td>\n",
+       "      <td>89286.0</td>\n",
+       "      <td>107343.0</td>\n",
+       "      <td>102514.621181</td>\n",
+       "      <td>91705.833333</td>\n",
+       "      <td>0.105437</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "     start_date    end_date  min_open  max_close  start_avg   end_avg  \\\n",
-       "335  2025-02-27  2025-04-23   76252.0    94273.0    84801.5   93335.0   \n",
-       "336  2025-04-24  2025-05-09   93730.0   103261.0    92867.5  103341.0   \n",
-       "337  2025-05-10  2025-07-11  100990.0   117579.0   103915.0  117032.5   \n",
-       "338  2025-07-12  2025-11-04  106470.0   124728.0   117599.0  103079.0   \n",
-       "339  2025-11-05  2025-11-18   92112.0   105972.0   101737.5   91471.0   \n",
+       "     start_date    end_date  min_open  max_open  min_close  max_close  \\\n",
+       "316  2025-02-27  2025-04-25   74509.0   95801.0    74515.0    95800.0   \n",
+       "317  2025-04-26  2025-05-11   92877.0  104971.0    92872.0   104965.0   \n",
+       "318  2025-05-12  2025-07-11   98384.0  118833.0    98382.0   118839.0   \n",
+       "319  2025-07-12  2025-11-04   98944.0  126202.0    98943.0   126202.0   \n",
+       "320  2025-11-05  2025-11-18   89291.0  107343.0    89286.0   107343.0   \n",
        "\n",
-       "       change  \n",
-       "335  0.100629  \n",
-       "336  0.112779  \n",
-       "337  0.126233  \n",
-       "338  0.123470  \n",
-       "339  0.100912  "
+       "         start_avg        end_avg    change  \n",
+       "316   85166.063889   94303.907292  0.107294  \n",
+       "317   94500.950347  104182.167708  0.102446  \n",
+       "318  103569.791319  117463.666667  0.134150  \n",
+       "319  117640.026389  103712.985764  0.118387  \n",
+       "320  102514.621181   91705.833333  0.105437  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -455,8 +492,10 @@
     "        intervals.append({\n",
     "            \"start_date\": df_days.loc[start_idx, \"Timestamp\"],\n",
     "            \"end_date\": df_days.loc[i, \"Timestamp\"],\n",
-    "            \"min_open\": interval[\"Open\"].min(),\n",
-    "            \"max_close\": interval[\"Close\"].max(),\n",
+    "            \"min_open\": interval[\"OpenMin\"].min(),\n",
+    "            \"max_open\": interval[\"OpenMax\"].max(),\n",
+    "            \"min_close\": interval[\"CloseMin\"].min(),\n",
+    "            \"max_close\": interval[\"CloseMax\"].max(),\n",
     "            \"start_avg\": price_base,\n",
     "            \"end_avg\": price_now,\n",
     "            \"change\": change,\n",
@@ -470,6 +509,14 @@
     "df_intervals = pd.DataFrame(intervals)\n",
     "df_intervals.tail()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07f1cd58",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {