diff --git a/src/binance_api_client.py b/src/binance_api_client.py
new file mode 100644
index 0000000..5863e35
--- /dev/null
+++ b/src/binance_api_client.py
@@ -0,0 +1,29 @@
+# %%
+import numpy as np
+import pandas as pd 
+import time
+
+from binance.client import Client
+
+
+# %%
+api_key = "****"
+secret_key = "***"
+
+client = Client(api_key, secret_key)
+
+
+# %%
+coins_response = client.get_all_coins_info()
+coins_df = pd.DataFrame.from_dict(coins_response, orient='columns')
+
+
+# %%
+pairs_list = coins_df.coin.apply(lambda x: f"{x}USDT") 
+client.get_historical_klines(
+    'BTCUSDT', 
+    interval=Client.KLINE_INTERVAL_1HOUR,
+    start_str='2022-04-21', 
+    end_str='2022-04-22'
+)
+
diff --git a/src/binance_open_data.ipynb b/src/binance_open_data.ipynb
new file mode 100644
index 0000000..dfe4396
--- /dev/null
+++ b/src/binance_open_data.ipynb
@@ -0,0 +1,299 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Binance Open Data lab"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[Binance Open Data](https://github.com/binance/binance-public-data/#klines) and analyze it.\n",
+    "\n",
+    "### Stet 1. Download data \n",
+    "\n",
+    "Downloading __1-minute candles__ for `BTC/USDT` and `BTC/UDSC` using `bash` or `powershell` scripts:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "shellscript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#!/bin/sh\n",
+    "\n",
+    "# create dir for data\n",
+    "!mkdir ../data\n",
+    "\n",
+    "# download data using GET request\n",
+    "!wget -N -P ../data https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
+    "!wget -N -P../data https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
+    "\n",
+    "# unzip\n",
+    "!unzip -o -d ../data ../data/BTCUSDT-1m-2022-06-21.zip \n",
+    "!unzip -o -d ../data ../data/BTCUSDC-1m-2022-06-21.zip"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 2: Import data to Dataframe \n",
+    "\n",
+    "Import packages for data analysis:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import httpx\n",
+    "\n",
+    "from datetime import datetime"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Import data from CSV file to Pandas DataFrame:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_data(pair: str) -> pd.DataFrame:\n",
+    "    return pd.read_csv(f'../data/{pair}-1m-2022-06-21.csv', header = None)\n",
+    "\n",
+    "btcusdt_df = get_data('BTCUSDT')\n",
+    "btcusdt_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set names to columns:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def set_column_names(df: pd.DataFrame) -> pd.DataFrame:\n",
+    "    column_names_mapping = {\n",
+    "        0: 'Open_time',\n",
+    "        1: 'Open',\n",
+    "        2: 'High',\n",
+    "        3: 'Low',\n",
+    "        4: 'Close',\n",
+    "        5: 'Volume',\n",
+    "        6: 'Close_time',\n",
+    "        7: 'Quote_asset_volume',\n",
+    "        8: 'Number_of_trades',\n",
+    "        9: 'Taker_buy_base_asset_volume',\n",
+    "        10: 'Taker_buy_quote_asset_volume',\n",
+    "        11: 'Ignore'\n",
+    "        }\n",
+    "    return df.rename(columns=column_names_mapping)\n",
+    "\n",
+    "btcusdt_df = set_column_names(btcusdt_df)\n",
+    "btcusdt_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Convert timestamp to human-readable date and time format:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "btcusdt_df['Open_time'] = btcusdt_df.iloc[:, 0].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
+    "btcusdt_df['Close_time'] = btcusdt_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
+    "\n",
+    "btcusdt_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's take a look at _Descriptive statistics_ (min, mean, max, standard deviation):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "btcusdt_df.describe(datetime_is_numeric=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 2: Transform data\n",
+    "\n",
+    "Calculate __1-hour OHLCV__ candles:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_ohclv(df: pd.DataFrame) -> pd.DataFrame:\n",
+    "    df['hour'] = df['Close_time'].apply(lambda t: t.hour)\n",
+    "\n",
+    "    return (\n",
+    "        df\n",
+    "            .groupby(['hour'])\n",
+    "            .agg(\n",
+    "                {\n",
+    "                    'Open': 'first',\n",
+    "                    'High': max,\n",
+    "                    'Low': min,\n",
+    "                    'Close': 'last',\n",
+    "                    'Volume': sum,\n",
+    "                    'Close_time': max\n",
+    "                }\n",
+    "            )\n",
+    "            .reset_index()\n",
+    "            .drop(columns=['hour'])\n",
+    "        )\n",
+    "\n",
+    "btcusdt_1h_df = calculate_ohclv(btcusdt_df)\n",
+    "\n",
+    "btcusdt_1h_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data validation is very important. Let's write domain-driven asserts:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "assert(\n",
+    "    isinstance(btcusdt_1h_df, pd.DataFrame)\n",
+    "    and btcusdt_1h_df.shape == (24, 6)\n",
+    "    and not btcusdt_1h_df.isnull().any().any()\n",
+    "    and btcusdt_1h_df.iloc[:, 0:5].ge(0).all().all()\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 3: Expand the dataset with information about `BTC/USDC` \n",
+    "\n",
+    "Download `BTC/USDC` 1-minute candles and transform it to 1-hour candles:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "btcusdc_df = get_data('BTCUSDC')  # download data\n",
+    "btcusdc_df = set_column_names(btcusdc_df)  # set column names\n",
+    "btcusdc_df['Close_time'] = btcusdc_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))  # convert timestamp to date+time\n",
+    "\n",
+    "btcusdc_1h_df = calculate_ohclv(btcusdc_df)  # calculate 1h OHCLV candles\n",
+    "btcusdc_1h_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Join altogether:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "btcusdt_1h_df['pair'] = 'BTC-USDT'\n",
+    "btcusdc_1h_df['pair'] = 'BTC-USDC'\n",
+    "\n",
+    "# Join datasets\n",
+    "candles_1h_df = pd.concat([btcusdt_1h_df, btcusdc_1h_df])\n",
+    "\n",
+    "# Validate result\n",
+    "assert(\n",
+    "    isinstance(candles_1h_df, pd.DataFrame)\n",
+    "    and candles_1h_df.shape == (48, 7)\n",
+    "    and (candles_1h_df['pair'].unique() == ['BTC-USDT', 'BTC-USDC']).all()\n",
+    ")\n",
+    "\n",
+    "# Sort output by Close_time\n",
+    "candles_1h_df.sort_values('Close_time')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.9.13 ('base')",
+   "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": "3.9.13"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "6fd7ff10be7e3a66c1b3745c4cbc00041a2589eb74ab4be46a3698a7b56001aa"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/candidate_tests.ipynb b/src/candidate_tests.ipynb
deleted file mode 100644
index 4b9e15e..0000000
--- a/src/candidate_tests.ipynb
+++ /dev/null
@@ -1,2176 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Analyst Code Interview\n",
-    "\n",
-    "Hi,\n",
-    "\n",
-    "It's a simple code interview. I shouldn't take you more than an hour, and it's fun :)\n",
-    "\n",
-    "## Part I. Quizzes\n",
-    "\n",
-    "If you didn't have `Python badge` on LinkedIn then it's time [to do it](https://www.linkedin.com/skill-assessments/hub/quizzes/)! Please share your results with us. By the way, here's my badge.\n",
-    "\n",
-    "![](../docs/li.png)\n",
-    "\n",
-    "If you don't have a LinkedIn account or like quizzes, then take another test from [W3 School](https://www.w3schools.com/quiztest/quiztest.asp?qtest=PANDAS).\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Part II. Coding\n",
-    "\n",
-    "Please share the screen with us and let's repair our program together. \n",
-    "You can use google.com, StackOverflow, or your favorite IDE. Please use a version of Python greater or equals than 3.8\n",
-    "\n",
-    "We intend to collect data from [Binance Open Data](https://github.com/binance/binance-public-data/#klines) and analyze it.\n",
-    "\n",
-    "### Stet 1. Download data \n",
-    "\n",
-    "Downloading __1-minute candles__ for `BTC/USDT` and `BTC/UDSC` using `bash` or `powershell` scripts:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "vscode": {
-     "languageId": "shellscript"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mkdir: cannot create directory ‘../data’: File exists\n",
-      "--2022-06-24 11:22:56--  https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
-      "Resolving data.binance.vision (data.binance.vision)... 108.138.94.79, 108.138.94.48, 108.138.94.67, ...\n",
-      "Connecting to data.binance.vision (data.binance.vision)|108.138.94.79|:443... connected.\n",
-      "HTTP request sent, awaiting response... 304 Not Modified\n",
-      "File ‘../data/BTCUSDT-1m-2022-06-21.zip’ not modified on server. Omitting download.\n",
-      "\n",
-      "--2022-06-24 11:22:57--  https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
-      "Resolving data.binance.vision (data.binance.vision)... 108.138.94.88, 108.138.94.67, 108.138.94.48, ...\n",
-      "Connecting to data.binance.vision (data.binance.vision)|108.138.94.88|:443... connected.\n",
-      "HTTP request sent, awaiting response... 304 Not Modified\n",
-      "File ‘../data/BTCUSDC-1m-2022-06-21.zip’ not modified on server. Omitting download.\n",
-      "\n",
-      "Archive:  ../data/BTCUSDT-1m-2022-06-21.zip\n",
-      "  inflating: ../data/BTCUSDT-1m-2022-06-21.csv  \n",
-      "Archive:  ../data/BTCUSDC-1m-2022-06-21.zip\n",
-      "  inflating: ../data/BTCUSDC-1m-2022-06-21.csv  \n"
-     ]
-    }
-   ],
-   "source": [
-    "#!/bin/sh\n",
-    "\n",
-    "# create dir for data\n",
-    "!mkdir ../data\n",
-    "\n",
-    "# download data using GET request\n",
-    "!wget -N -P ../data https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
-    "!wget -N -P../data https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
-    "\n",
-    "# unzip\n",
-    "!unzip -o -d ../data ../data/BTCUSDT-1m-2022-06-21.zip \n",
-    "!unzip -o -d ../data ../data/BTCUSDC-1m-2022-06-21.zip"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 2: Import data to Dataframe \n",
-    "\n",
-    "Import packages for data analysis:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "\n",
-    "import httpx\n",
-    "\n",
-    "from datetime import datetime"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Import data from CSV file to Pandas DataFrame:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def get_data(pair: str) -> pd.DataFrame:\n",
-    "    return pd.read_csv(f'../data/binance/{pair}-1m-2022-06-21.csv', header = None)\n",
-    "\n",
-    "btcusdt_df = get_data('BTCUSDT')\n",
-    "btcusdt_df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set names to columns:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\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>Open_time</th>\n",
-       "      <th>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Close_time</th>\n",
-       "      <th>Quote_asset_volume</th>\n",
-       "      <th>Number_of_trades</th>\n",
-       "      <th>Taker_buy_base_asset_volume</th>\n",
-       "      <th>Taker_buy_quote_asset_volume</th>\n",
-       "      <th>Ignore</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1655769600000</td>\n",
-       "      <td>20573.90</td>\n",
-       "      <td>20590.00</td>\n",
-       "      <td>20552.17</td>\n",
-       "      <td>20558.36</td>\n",
-       "      <td>70.76925</td>\n",
-       "      <td>1655769659999</td>\n",
-       "      <td>1.455321e+06</td>\n",
-       "      <td>1150</td>\n",
-       "      <td>37.36821</td>\n",
-       "      <td>7.683845e+05</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1655769660000</td>\n",
-       "      <td>20558.35</td>\n",
-       "      <td>20611.21</td>\n",
-       "      <td>20558.35</td>\n",
-       "      <td>20606.70</td>\n",
-       "      <td>118.06032</td>\n",
-       "      <td>1655769719999</td>\n",
-       "      <td>2.430514e+06</td>\n",
-       "      <td>1402</td>\n",
-       "      <td>61.25760</td>\n",
-       "      <td>1.260950e+06</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1655769720000</td>\n",
-       "      <td>20606.69</td>\n",
-       "      <td>20626.89</td>\n",
-       "      <td>20552.40</td>\n",
-       "      <td>20552.40</td>\n",
-       "      <td>130.42894</td>\n",
-       "      <td>1655769779999</td>\n",
-       "      <td>2.686026e+06</td>\n",
-       "      <td>1433</td>\n",
-       "      <td>55.80573</td>\n",
-       "      <td>1.149409e+06</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1655769780000</td>\n",
-       "      <td>20552.41</td>\n",
-       "      <td>20585.69</td>\n",
-       "      <td>20539.09</td>\n",
-       "      <td>20578.89</td>\n",
-       "      <td>103.56318</td>\n",
-       "      <td>1655769839999</td>\n",
-       "      <td>2.128819e+06</td>\n",
-       "      <td>1301</td>\n",
-       "      <td>64.57346</td>\n",
-       "      <td>1.327338e+06</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1655769840000</td>\n",
-       "      <td>20578.89</td>\n",
-       "      <td>20579.90</td>\n",
-       "      <td>20537.57</td>\n",
-       "      <td>20554.46</td>\n",
-       "      <td>83.55509</td>\n",
-       "      <td>1655769899999</td>\n",
-       "      <td>1.717907e+06</td>\n",
-       "      <td>1098</td>\n",
-       "      <td>36.40944</td>\n",
-       "      <td>7.485065e+05</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       Open_time      Open      High       Low     Close     Volume  \\\n",
-       "0  1655769600000  20573.90  20590.00  20552.17  20558.36   70.76925   \n",
-       "1  1655769660000  20558.35  20611.21  20558.35  20606.70  118.06032   \n",
-       "2  1655769720000  20606.69  20626.89  20552.40  20552.40  130.42894   \n",
-       "3  1655769780000  20552.41  20585.69  20539.09  20578.89  103.56318   \n",
-       "4  1655769840000  20578.89  20579.90  20537.57  20554.46   83.55509   \n",
-       "\n",
-       "      Close_time  Quote_asset_volume  Number_of_trades  \\\n",
-       "0  1655769659999        1.455321e+06              1150   \n",
-       "1  1655769719999        2.430514e+06              1402   \n",
-       "2  1655769779999        2.686026e+06              1433   \n",
-       "3  1655769839999        2.128819e+06              1301   \n",
-       "4  1655769899999        1.717907e+06              1098   \n",
-       "\n",
-       "   Taker_buy_base_asset_volume  Taker_buy_quote_asset_volume  Ignore  \n",
-       "0                     37.36821                  7.683845e+05       0  \n",
-       "1                     61.25760                  1.260950e+06       0  \n",
-       "2                     55.80573                  1.149409e+06       0  \n",
-       "3                     64.57346                  1.327338e+06       0  \n",
-       "4                     36.40944                  7.485065e+05       0  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def set_column_names(df: pd.DataFrame) -> pd.DataFrame:\n",
-    "    column_names_mapping = {\n",
-    "        0: 'Open_time',\n",
-    "        1: 'Open',\n",
-    "        2: 'High',\n",
-    "        3: 'Low',\n",
-    "        4: 'Close',\n",
-    "        5: 'Volume',\n",
-    "        6: 'Close_time',\n",
-    "        7: 'Quote_asset_volume',\n",
-    "        8: 'Number_of_trades',\n",
-    "        9: 'Taker_buy_base_asset_volume',\n",
-    "        10: 'Taker_buy_quote_asset_volume',\n",
-    "        11: 'Ignore'\n",
-    "        }\n",
-    "    return df.rename(columns=column_names_mapping)\n",
-    "\n",
-    "btcusdt_df = set_column_names(btcusdt_df)\n",
-    "btcusdt_df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Convert timestamp to human-readable date and time format:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\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>Open_time</th>\n",
-       "      <th>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Close_time</th>\n",
-       "      <th>Quote_asset_volume</th>\n",
-       "      <th>Number_of_trades</th>\n",
-       "      <th>Taker_buy_base_asset_volume</th>\n",
-       "      <th>Taker_buy_quote_asset_volume</th>\n",
-       "      <th>Ignore</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2022-06-21 00:00:00</td>\n",
-       "      <td>20573.90</td>\n",
-       "      <td>20590.00</td>\n",
-       "      <td>20552.17</td>\n",
-       "      <td>20558.36</td>\n",
-       "      <td>70.76925</td>\n",
-       "      <td>2022-06-21 00:00:59.999</td>\n",
-       "      <td>1.455321e+06</td>\n",
-       "      <td>1150</td>\n",
-       "      <td>37.36821</td>\n",
-       "      <td>7.683845e+05</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2022-06-21 00:01:00</td>\n",
-       "      <td>20558.35</td>\n",
-       "      <td>20611.21</td>\n",
-       "      <td>20558.35</td>\n",
-       "      <td>20606.70</td>\n",
-       "      <td>118.06032</td>\n",
-       "      <td>2022-06-21 00:01:59.999</td>\n",
-       "      <td>2.430514e+06</td>\n",
-       "      <td>1402</td>\n",
-       "      <td>61.25760</td>\n",
-       "      <td>1.260950e+06</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2022-06-21 00:02:00</td>\n",
-       "      <td>20606.69</td>\n",
-       "      <td>20626.89</td>\n",
-       "      <td>20552.40</td>\n",
-       "      <td>20552.40</td>\n",
-       "      <td>130.42894</td>\n",
-       "      <td>2022-06-21 00:02:59.999</td>\n",
-       "      <td>2.686026e+06</td>\n",
-       "      <td>1433</td>\n",
-       "      <td>55.80573</td>\n",
-       "      <td>1.149409e+06</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2022-06-21 00:03:00</td>\n",
-       "      <td>20552.41</td>\n",
-       "      <td>20585.69</td>\n",
-       "      <td>20539.09</td>\n",
-       "      <td>20578.89</td>\n",
-       "      <td>103.56318</td>\n",
-       "      <td>2022-06-21 00:03:59.999</td>\n",
-       "      <td>2.128819e+06</td>\n",
-       "      <td>1301</td>\n",
-       "      <td>64.57346</td>\n",
-       "      <td>1.327338e+06</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2022-06-21 00:04:00</td>\n",
-       "      <td>20578.89</td>\n",
-       "      <td>20579.90</td>\n",
-       "      <td>20537.57</td>\n",
-       "      <td>20554.46</td>\n",
-       "      <td>83.55509</td>\n",
-       "      <td>2022-06-21 00:04:59.999</td>\n",
-       "      <td>1.717907e+06</td>\n",
-       "      <td>1098</td>\n",
-       "      <td>36.40944</td>\n",
-       "      <td>7.485065e+05</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            Open_time      Open      High       Low     Close     Volume  \\\n",
-       "0 2022-06-21 00:00:00  20573.90  20590.00  20552.17  20558.36   70.76925   \n",
-       "1 2022-06-21 00:01:00  20558.35  20611.21  20558.35  20606.70  118.06032   \n",
-       "2 2022-06-21 00:02:00  20606.69  20626.89  20552.40  20552.40  130.42894   \n",
-       "3 2022-06-21 00:03:00  20552.41  20585.69  20539.09  20578.89  103.56318   \n",
-       "4 2022-06-21 00:04:00  20578.89  20579.90  20537.57  20554.46   83.55509   \n",
-       "\n",
-       "               Close_time  Quote_asset_volume  Number_of_trades  \\\n",
-       "0 2022-06-21 00:00:59.999        1.455321e+06              1150   \n",
-       "1 2022-06-21 00:01:59.999        2.430514e+06              1402   \n",
-       "2 2022-06-21 00:02:59.999        2.686026e+06              1433   \n",
-       "3 2022-06-21 00:03:59.999        2.128819e+06              1301   \n",
-       "4 2022-06-21 00:04:59.999        1.717907e+06              1098   \n",
-       "\n",
-       "   Taker_buy_base_asset_volume  Taker_buy_quote_asset_volume  Ignore  \n",
-       "0                     37.36821                  7.683845e+05       0  \n",
-       "1                     61.25760                  1.260950e+06       0  \n",
-       "2                     55.80573                  1.149409e+06       0  \n",
-       "3                     64.57346                  1.327338e+06       0  \n",
-       "4                     36.40944                  7.485065e+05       0  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "btcusdt_df['Open_time'] = btcusdt_df.iloc[:, 0].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
-    "btcusdt_df['Close_time'] = btcusdt_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
-    "\n",
-    "btcusdt_df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's take a look at _Descriptive statistics_ (min, mean, max, standard deviation):"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "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>Open_time</th>\n",
-       "      <th>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Close_time</th>\n",
-       "      <th>Quote_asset_volume</th>\n",
-       "      <th>Number_of_trades</th>\n",
-       "      <th>Taker_buy_base_asset_volume</th>\n",
-       "      <th>Taker_buy_quote_asset_volume</th>\n",
-       "      <th>Ignore</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>1440</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1440</td>\n",
-       "      <td>1.440000e+03</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1440.000000</td>\n",
-       "      <td>1.440000e+03</td>\n",
-       "      <td>1440.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>2022-06-21 11:59:30</td>\n",
-       "      <td>21014.355465</td>\n",
-       "      <td>21033.877319</td>\n",
-       "      <td>20996.871035</td>\n",
-       "      <td>21014.458083</td>\n",
-       "      <td>72.479435</td>\n",
-       "      <td>2022-06-21 12:00:29.999000320</td>\n",
-       "      <td>1.526793e+06</td>\n",
-       "      <td>1052.264583</td>\n",
-       "      <td>36.245208</td>\n",
-       "      <td>7.635009e+05</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>2022-06-21 00:00:00</td>\n",
-       "      <td>20377.840000</td>\n",
-       "      <td>20396.830000</td>\n",
-       "      <td>20348.400000</td>\n",
-       "      <td>20377.850000</td>\n",
-       "      <td>5.391420</td>\n",
-       "      <td>2022-06-21 00:00:59.999000</td>\n",
-       "      <td>1.128460e+05</td>\n",
-       "      <td>227.000000</td>\n",
-       "      <td>1.977960</td>\n",
-       "      <td>4.127662e+04</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>2022-06-21 05:59:45</td>\n",
-       "      <td>20737.965000</td>\n",
-       "      <td>20763.567500</td>\n",
-       "      <td>20713.955000</td>\n",
-       "      <td>20737.970000</td>\n",
-       "      <td>34.139227</td>\n",
-       "      <td>2022-06-21 06:00:44.999000064</td>\n",
-       "      <td>7.153174e+05</td>\n",
-       "      <td>636.000000</td>\n",
-       "      <td>15.905650</td>\n",
-       "      <td>3.315046e+05</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>2022-06-21 11:59:30</td>\n",
-       "      <td>21073.585000</td>\n",
-       "      <td>21095.075000</td>\n",
-       "      <td>21052.210000</td>\n",
-       "      <td>21073.590000</td>\n",
-       "      <td>52.615730</td>\n",
-       "      <td>2022-06-21 12:00:29.999000064</td>\n",
-       "      <td>1.100389e+06</td>\n",
-       "      <td>859.000000</td>\n",
-       "      <td>24.948495</td>\n",
-       "      <td>5.249121e+05</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>2022-06-21 17:59:15</td>\n",
-       "      <td>21241.470000</td>\n",
-       "      <td>21260.690000</td>\n",
-       "      <td>21224.115000</td>\n",
-       "      <td>21241.467500</td>\n",
-       "      <td>82.058207</td>\n",
-       "      <td>2022-06-21 18:00:14.999000064</td>\n",
-       "      <td>1.718243e+06</td>\n",
-       "      <td>1225.250000</td>\n",
-       "      <td>39.859655</td>\n",
-       "      <td>8.356794e+05</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>2022-06-21 23:59:00</td>\n",
-       "      <td>21691.550000</td>\n",
-       "      <td>21723.000000</td>\n",
-       "      <td>21631.910000</td>\n",
-       "      <td>21691.550000</td>\n",
-       "      <td>732.181400</td>\n",
-       "      <td>2022-06-21 23:59:59.999000</td>\n",
-       "      <td>1.571181e+07</td>\n",
-       "      <td>8776.000000</td>\n",
-       "      <td>471.933210</td>\n",
-       "      <td>1.013001e+07</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>325.066922</td>\n",
-       "      <td>325.563767</td>\n",
-       "      <td>324.575912</td>\n",
-       "      <td>324.952908</td>\n",
-       "      <td>71.230479</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.511238e+06</td>\n",
-       "      <td>736.290480</td>\n",
-       "      <td>41.559421</td>\n",
-       "      <td>8.819089e+05</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 Open_time          Open          High           Low  \\\n",
-       "count                 1440   1440.000000   1440.000000   1440.000000   \n",
-       "mean   2022-06-21 11:59:30  21014.355465  21033.877319  20996.871035   \n",
-       "min    2022-06-21 00:00:00  20377.840000  20396.830000  20348.400000   \n",
-       "25%    2022-06-21 05:59:45  20737.965000  20763.567500  20713.955000   \n",
-       "50%    2022-06-21 11:59:30  21073.585000  21095.075000  21052.210000   \n",
-       "75%    2022-06-21 17:59:15  21241.470000  21260.690000  21224.115000   \n",
-       "max    2022-06-21 23:59:00  21691.550000  21723.000000  21631.910000   \n",
-       "std                    NaN    325.066922    325.563767    324.575912   \n",
-       "\n",
-       "              Close       Volume                     Close_time  \\\n",
-       "count   1440.000000  1440.000000                           1440   \n",
-       "mean   21014.458083    72.479435  2022-06-21 12:00:29.999000320   \n",
-       "min    20377.850000     5.391420     2022-06-21 00:00:59.999000   \n",
-       "25%    20737.970000    34.139227  2022-06-21 06:00:44.999000064   \n",
-       "50%    21073.590000    52.615730  2022-06-21 12:00:29.999000064   \n",
-       "75%    21241.467500    82.058207  2022-06-21 18:00:14.999000064   \n",
-       "max    21691.550000   732.181400     2022-06-21 23:59:59.999000   \n",
-       "std      324.952908    71.230479                            NaN   \n",
-       "\n",
-       "       Quote_asset_volume  Number_of_trades  Taker_buy_base_asset_volume  \\\n",
-       "count        1.440000e+03       1440.000000                  1440.000000   \n",
-       "mean         1.526793e+06       1052.264583                    36.245208   \n",
-       "min          1.128460e+05        227.000000                     1.977960   \n",
-       "25%          7.153174e+05        636.000000                    15.905650   \n",
-       "50%          1.100389e+06        859.000000                    24.948495   \n",
-       "75%          1.718243e+06       1225.250000                    39.859655   \n",
-       "max          1.571181e+07       8776.000000                   471.933210   \n",
-       "std          1.511238e+06        736.290480                    41.559421   \n",
-       "\n",
-       "       Taker_buy_quote_asset_volume  Ignore  \n",
-       "count                  1.440000e+03  1440.0  \n",
-       "mean                   7.635009e+05     0.0  \n",
-       "min                    4.127662e+04     0.0  \n",
-       "25%                    3.315046e+05     0.0  \n",
-       "50%                    5.249121e+05     0.0  \n",
-       "75%                    8.356794e+05     0.0  \n",
-       "max                    1.013001e+07     0.0  \n",
-       "std                    8.819089e+05     0.0  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "btcusdt_df.describe(datetime_is_numeric=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 2: Transform data\n",
-    "\n",
-    "Calculate __1-hour OHLCV__ candles:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\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>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Close_time</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>20573.90</td>\n",
-       "      <td>20705.74</td>\n",
-       "      <td>20396.77</td>\n",
-       "      <td>20672.30</td>\n",
-       "      <td>4235.77392</td>\n",
-       "      <td>2022-06-21 00:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>20672.30</td>\n",
-       "      <td>20783.99</td>\n",
-       "      <td>20504.89</td>\n",
-       "      <td>20670.88</td>\n",
-       "      <td>3892.91412</td>\n",
-       "      <td>2022-06-21 01:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>20670.87</td>\n",
-       "      <td>20699.93</td>\n",
-       "      <td>20348.40</td>\n",
-       "      <td>20433.49</td>\n",
-       "      <td>2876.88928</td>\n",
-       "      <td>2022-06-21 02:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>20433.49</td>\n",
-       "      <td>20665.26</td>\n",
-       "      <td>20365.00</td>\n",
-       "      <td>20614.04</td>\n",
-       "      <td>3306.77018</td>\n",
-       "      <td>2022-06-21 03:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>20614.04</td>\n",
-       "      <td>20740.72</td>\n",
-       "      <td>20474.41</td>\n",
-       "      <td>20656.17</td>\n",
-       "      <td>2925.33542</td>\n",
-       "      <td>2022-06-21 04:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>20656.17</td>\n",
-       "      <td>21029.93</td>\n",
-       "      <td>20621.14</td>\n",
-       "      <td>20890.77</td>\n",
-       "      <td>6516.65611</td>\n",
-       "      <td>2022-06-21 05:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>20890.77</td>\n",
-       "      <td>21202.00</td>\n",
-       "      <td>20890.77</td>\n",
-       "      <td>21192.08</td>\n",
-       "      <td>6114.51662</td>\n",
-       "      <td>2022-06-21 06:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>21192.08</td>\n",
-       "      <td>21333.00</td>\n",
-       "      <td>20952.46</td>\n",
-       "      <td>21120.28</td>\n",
-       "      <td>5433.08603</td>\n",
-       "      <td>2022-06-21 07:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>21120.28</td>\n",
-       "      <td>21500.01</td>\n",
-       "      <td>21051.25</td>\n",
-       "      <td>21356.32</td>\n",
-       "      <td>6241.36801</td>\n",
-       "      <td>2022-06-21 08:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>21356.32</td>\n",
-       "      <td>21470.00</td>\n",
-       "      <td>21166.94</td>\n",
-       "      <td>21200.00</td>\n",
-       "      <td>4961.57496</td>\n",
-       "      <td>2022-06-21 09:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>21200.01</td>\n",
-       "      <td>21307.83</td>\n",
-       "      <td>21061.54</td>\n",
-       "      <td>21299.27</td>\n",
-       "      <td>3982.47578</td>\n",
-       "      <td>2022-06-21 10:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>21299.02</td>\n",
-       "      <td>21361.03</td>\n",
-       "      <td>20911.13</td>\n",
-       "      <td>20962.42</td>\n",
-       "      <td>4685.42524</td>\n",
-       "      <td>2022-06-21 11:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>20962.42</td>\n",
-       "      <td>21163.24</td>\n",
-       "      <td>20853.36</td>\n",
-       "      <td>21106.20</td>\n",
-       "      <td>5596.26303</td>\n",
-       "      <td>2022-06-21 12:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>21106.19</td>\n",
-       "      <td>21650.00</td>\n",
-       "      <td>20995.64</td>\n",
-       "      <td>21619.31</td>\n",
-       "      <td>8667.59080</td>\n",
-       "      <td>2022-06-21 13:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>21619.31</td>\n",
-       "      <td>21723.00</td>\n",
-       "      <td>21427.82</td>\n",
-       "      <td>21590.79</td>\n",
-       "      <td>6295.02429</td>\n",
-       "      <td>2022-06-21 14:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>21590.79</td>\n",
-       "      <td>21604.27</td>\n",
-       "      <td>21339.07</td>\n",
-       "      <td>21392.19</td>\n",
-       "      <td>3809.54622</td>\n",
-       "      <td>2022-06-21 15:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>21392.18</td>\n",
-       "      <td>21550.39</td>\n",
-       "      <td>21355.77</td>\n",
-       "      <td>21401.52</td>\n",
-       "      <td>2421.77629</td>\n",
-       "      <td>2022-06-21 16:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>21401.52</td>\n",
-       "      <td>21457.82</td>\n",
-       "      <td>21195.70</td>\n",
-       "      <td>21242.94</td>\n",
-       "      <td>3755.82919</td>\n",
-       "      <td>2022-06-21 17:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>21242.93</td>\n",
-       "      <td>21256.99</td>\n",
-       "      <td>21076.48</td>\n",
-       "      <td>21100.01</td>\n",
-       "      <td>2820.40675</td>\n",
-       "      <td>2022-06-21 18:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>21100.00</td>\n",
-       "      <td>21306.51</td>\n",
-       "      <td>20870.01</td>\n",
-       "      <td>20888.64</td>\n",
-       "      <td>4015.33528</td>\n",
-       "      <td>2022-06-21 19:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>20888.63</td>\n",
-       "      <td>20987.38</td>\n",
-       "      <td>20666.00</td>\n",
-       "      <td>20859.86</td>\n",
-       "      <td>4442.87596</td>\n",
-       "      <td>2022-06-21 20:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>20859.86</td>\n",
-       "      <td>21054.99</td>\n",
-       "      <td>20808.00</td>\n",
-       "      <td>20972.91</td>\n",
-       "      <td>1813.56236</td>\n",
-       "      <td>2022-06-21 21:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>20972.91</td>\n",
-       "      <td>21003.70</td>\n",
-       "      <td>20741.03</td>\n",
-       "      <td>20897.00</td>\n",
-       "      <td>2945.61650</td>\n",
-       "      <td>2022-06-21 22:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>20897.00</td>\n",
-       "      <td>20943.17</td>\n",
-       "      <td>20551.00</td>\n",
-       "      <td>20723.52</td>\n",
-       "      <td>2613.77441</td>\n",
-       "      <td>2022-06-21 23:59:59.999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        Open      High       Low     Close      Volume              Close_time\n",
-       "0   20573.90  20705.74  20396.77  20672.30  4235.77392 2022-06-21 00:59:59.999\n",
-       "1   20672.30  20783.99  20504.89  20670.88  3892.91412 2022-06-21 01:59:59.999\n",
-       "2   20670.87  20699.93  20348.40  20433.49  2876.88928 2022-06-21 02:59:59.999\n",
-       "3   20433.49  20665.26  20365.00  20614.04  3306.77018 2022-06-21 03:59:59.999\n",
-       "4   20614.04  20740.72  20474.41  20656.17  2925.33542 2022-06-21 04:59:59.999\n",
-       "5   20656.17  21029.93  20621.14  20890.77  6516.65611 2022-06-21 05:59:59.999\n",
-       "6   20890.77  21202.00  20890.77  21192.08  6114.51662 2022-06-21 06:59:59.999\n",
-       "7   21192.08  21333.00  20952.46  21120.28  5433.08603 2022-06-21 07:59:59.999\n",
-       "8   21120.28  21500.01  21051.25  21356.32  6241.36801 2022-06-21 08:59:59.999\n",
-       "9   21356.32  21470.00  21166.94  21200.00  4961.57496 2022-06-21 09:59:59.999\n",
-       "10  21200.01  21307.83  21061.54  21299.27  3982.47578 2022-06-21 10:59:59.999\n",
-       "11  21299.02  21361.03  20911.13  20962.42  4685.42524 2022-06-21 11:59:59.999\n",
-       "12  20962.42  21163.24  20853.36  21106.20  5596.26303 2022-06-21 12:59:59.999\n",
-       "13  21106.19  21650.00  20995.64  21619.31  8667.59080 2022-06-21 13:59:59.999\n",
-       "14  21619.31  21723.00  21427.82  21590.79  6295.02429 2022-06-21 14:59:59.999\n",
-       "15  21590.79  21604.27  21339.07  21392.19  3809.54622 2022-06-21 15:59:59.999\n",
-       "16  21392.18  21550.39  21355.77  21401.52  2421.77629 2022-06-21 16:59:59.999\n",
-       "17  21401.52  21457.82  21195.70  21242.94  3755.82919 2022-06-21 17:59:59.999\n",
-       "18  21242.93  21256.99  21076.48  21100.01  2820.40675 2022-06-21 18:59:59.999\n",
-       "19  21100.00  21306.51  20870.01  20888.64  4015.33528 2022-06-21 19:59:59.999\n",
-       "20  20888.63  20987.38  20666.00  20859.86  4442.87596 2022-06-21 20:59:59.999\n",
-       "21  20859.86  21054.99  20808.00  20972.91  1813.56236 2022-06-21 21:59:59.999\n",
-       "22  20972.91  21003.70  20741.03  20897.00  2945.61650 2022-06-21 22:59:59.999\n",
-       "23  20897.00  20943.17  20551.00  20723.52  2613.77441 2022-06-21 23:59:59.999"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def calculate_ohclv(df: pd.DataFrame) -> pd.DataFrame:\n",
-    "    df['hour'] = df['Close_time'].apply(lambda t: t.hour)\n",
-    "\n",
-    "    return (\n",
-    "        df\n",
-    "            .groupby(['hour'])\n",
-    "            .agg(\n",
-    "                {\n",
-    "                    'Open': 'first',\n",
-    "                    'High': max,\n",
-    "                    'Low': min,\n",
-    "                    'Close': 'last',\n",
-    "                    'Volume': sum,\n",
-    "                    'Close_time': max\n",
-    "                }\n",
-    "            )\n",
-    "            .reset_index()\n",
-    "            .drop(columns=['hour'])\n",
-    "        )\n",
-    "\n",
-    "btcusdt_1h_df = calculate_ohclv(btcusdt_df)\n",
-    "\n",
-    "btcusdt_1h_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Data validation is very important. Let's write domain-driven asserts:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "assert(\n",
-    "    isinstance(btcusdt_1h_df, pd.DataFrame)\n",
-    "    and btcusdt_1h_df.shape == (24, 6)\n",
-    "    and not btcusdt_1h_df.isnull().any().any()\n",
-    "    and btcusdt_1h_df.iloc[:, 0:5].ge(0).all().all()\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 3: Expand the dataset with information about `BTC/USDC` \n",
-    "\n",
-    "Download `BTC/USDC` 1-minute candles and transform it to 1-hour candles:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Close_time</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>20549.65</td>\n",
-       "      <td>20703.08</td>\n",
-       "      <td>20371.75</td>\n",
-       "      <td>20647.35</td>\n",
-       "      <td>284.73521</td>\n",
-       "      <td>2022-06-21 00:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>20648.06</td>\n",
-       "      <td>20771.07</td>\n",
-       "      <td>20482.83</td>\n",
-       "      <td>20646.88</td>\n",
-       "      <td>192.50513</td>\n",
-       "      <td>2022-06-21 01:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>20644.78</td>\n",
-       "      <td>20672.98</td>\n",
-       "      <td>20331.36</td>\n",
-       "      <td>20406.71</td>\n",
-       "      <td>195.67023</td>\n",
-       "      <td>2022-06-21 02:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>20402.27</td>\n",
-       "      <td>20649.99</td>\n",
-       "      <td>20331.48</td>\n",
-       "      <td>20585.98</td>\n",
-       "      <td>290.39210</td>\n",
-       "      <td>2022-06-21 03:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>20586.63</td>\n",
-       "      <td>20721.10</td>\n",
-       "      <td>20449.57</td>\n",
-       "      <td>20632.33</td>\n",
-       "      <td>205.78459</td>\n",
-       "      <td>2022-06-21 04:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>20640.33</td>\n",
-       "      <td>20999.00</td>\n",
-       "      <td>20594.58</td>\n",
-       "      <td>20866.07</td>\n",
-       "      <td>412.42477</td>\n",
-       "      <td>2022-06-21 05:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>20873.25</td>\n",
-       "      <td>21178.00</td>\n",
-       "      <td>20873.25</td>\n",
-       "      <td>21169.64</td>\n",
-       "      <td>524.25894</td>\n",
-       "      <td>2022-06-21 06:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>21166.58</td>\n",
-       "      <td>21300.00</td>\n",
-       "      <td>20913.40</td>\n",
-       "      <td>21097.44</td>\n",
-       "      <td>304.65113</td>\n",
-       "      <td>2022-06-21 07:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>21097.20</td>\n",
-       "      <td>21471.91</td>\n",
-       "      <td>21023.64</td>\n",
-       "      <td>21327.56</td>\n",
-       "      <td>366.29201</td>\n",
-       "      <td>2022-06-21 08:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>21342.76</td>\n",
-       "      <td>21448.22</td>\n",
-       "      <td>21144.24</td>\n",
-       "      <td>21182.12</td>\n",
-       "      <td>350.77543</td>\n",
-       "      <td>2022-06-21 09:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>21175.75</td>\n",
-       "      <td>21298.52</td>\n",
-       "      <td>21038.30</td>\n",
-       "      <td>21270.98</td>\n",
-       "      <td>526.66602</td>\n",
-       "      <td>2022-06-21 10:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>21273.73</td>\n",
-       "      <td>21336.94</td>\n",
-       "      <td>20887.17</td>\n",
-       "      <td>20948.96</td>\n",
-       "      <td>579.00200</td>\n",
-       "      <td>2022-06-21 11:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>20936.59</td>\n",
-       "      <td>21143.99</td>\n",
-       "      <td>20800.00</td>\n",
-       "      <td>21079.42</td>\n",
-       "      <td>452.07214</td>\n",
-       "      <td>2022-06-21 12:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>21079.41</td>\n",
-       "      <td>21629.36</td>\n",
-       "      <td>20968.21</td>\n",
-       "      <td>21592.69</td>\n",
-       "      <td>507.91190</td>\n",
-       "      <td>2022-06-21 13:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>21595.13</td>\n",
-       "      <td>21699.98</td>\n",
-       "      <td>21394.05</td>\n",
-       "      <td>21572.00</td>\n",
-       "      <td>445.73978</td>\n",
-       "      <td>2022-06-21 14:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>21571.96</td>\n",
-       "      <td>21671.34</td>\n",
-       "      <td>21314.94</td>\n",
-       "      <td>21370.87</td>\n",
-       "      <td>435.99237</td>\n",
-       "      <td>2022-06-21 15:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>21370.08</td>\n",
-       "      <td>21533.14</td>\n",
-       "      <td>21330.00</td>\n",
-       "      <td>21377.52</td>\n",
-       "      <td>243.10368</td>\n",
-       "      <td>2022-06-21 16:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>21377.85</td>\n",
-       "      <td>21434.58</td>\n",
-       "      <td>21168.59</td>\n",
-       "      <td>21220.14</td>\n",
-       "      <td>291.46137</td>\n",
-       "      <td>2022-06-21 17:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>21220.14</td>\n",
-       "      <td>21233.94</td>\n",
-       "      <td>21054.72</td>\n",
-       "      <td>21074.20</td>\n",
-       "      <td>423.05836</td>\n",
-       "      <td>2022-06-21 18:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>21074.81</td>\n",
-       "      <td>21279.52</td>\n",
-       "      <td>20851.10</td>\n",
-       "      <td>20866.39</td>\n",
-       "      <td>266.46488</td>\n",
-       "      <td>2022-06-21 19:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>20864.31</td>\n",
-       "      <td>20960.98</td>\n",
-       "      <td>20645.03</td>\n",
-       "      <td>20838.52</td>\n",
-       "      <td>330.79569</td>\n",
-       "      <td>2022-06-21 20:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>20838.51</td>\n",
-       "      <td>21057.01</td>\n",
-       "      <td>20780.29</td>\n",
-       "      <td>20958.22</td>\n",
-       "      <td>99.09836</td>\n",
-       "      <td>2022-06-21 21:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>20950.07</td>\n",
-       "      <td>20975.92</td>\n",
-       "      <td>20719.02</td>\n",
-       "      <td>20875.37</td>\n",
-       "      <td>177.08203</td>\n",
-       "      <td>2022-06-21 22:59:59.999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>20880.71</td>\n",
-       "      <td>20916.85</td>\n",
-       "      <td>20527.90</td>\n",
-       "      <td>20699.78</td>\n",
-       "      <td>173.22797</td>\n",
-       "      <td>2022-06-21 23:59:59.999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        Open      High       Low     Close     Volume              Close_time\n",
-       "0   20549.65  20703.08  20371.75  20647.35  284.73521 2022-06-21 00:59:59.999\n",
-       "1   20648.06  20771.07  20482.83  20646.88  192.50513 2022-06-21 01:59:59.999\n",
-       "2   20644.78  20672.98  20331.36  20406.71  195.67023 2022-06-21 02:59:59.999\n",
-       "3   20402.27  20649.99  20331.48  20585.98  290.39210 2022-06-21 03:59:59.999\n",
-       "4   20586.63  20721.10  20449.57  20632.33  205.78459 2022-06-21 04:59:59.999\n",
-       "5   20640.33  20999.00  20594.58  20866.07  412.42477 2022-06-21 05:59:59.999\n",
-       "6   20873.25  21178.00  20873.25  21169.64  524.25894 2022-06-21 06:59:59.999\n",
-       "7   21166.58  21300.00  20913.40  21097.44  304.65113 2022-06-21 07:59:59.999\n",
-       "8   21097.20  21471.91  21023.64  21327.56  366.29201 2022-06-21 08:59:59.999\n",
-       "9   21342.76  21448.22  21144.24  21182.12  350.77543 2022-06-21 09:59:59.999\n",
-       "10  21175.75  21298.52  21038.30  21270.98  526.66602 2022-06-21 10:59:59.999\n",
-       "11  21273.73  21336.94  20887.17  20948.96  579.00200 2022-06-21 11:59:59.999\n",
-       "12  20936.59  21143.99  20800.00  21079.42  452.07214 2022-06-21 12:59:59.999\n",
-       "13  21079.41  21629.36  20968.21  21592.69  507.91190 2022-06-21 13:59:59.999\n",
-       "14  21595.13  21699.98  21394.05  21572.00  445.73978 2022-06-21 14:59:59.999\n",
-       "15  21571.96  21671.34  21314.94  21370.87  435.99237 2022-06-21 15:59:59.999\n",
-       "16  21370.08  21533.14  21330.00  21377.52  243.10368 2022-06-21 16:59:59.999\n",
-       "17  21377.85  21434.58  21168.59  21220.14  291.46137 2022-06-21 17:59:59.999\n",
-       "18  21220.14  21233.94  21054.72  21074.20  423.05836 2022-06-21 18:59:59.999\n",
-       "19  21074.81  21279.52  20851.10  20866.39  266.46488 2022-06-21 19:59:59.999\n",
-       "20  20864.31  20960.98  20645.03  20838.52  330.79569 2022-06-21 20:59:59.999\n",
-       "21  20838.51  21057.01  20780.29  20958.22   99.09836 2022-06-21 21:59:59.999\n",
-       "22  20950.07  20975.92  20719.02  20875.37  177.08203 2022-06-21 22:59:59.999\n",
-       "23  20880.71  20916.85  20527.90  20699.78  173.22797 2022-06-21 23:59:59.999"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "btcusdc_df = get_data('BTCUSDC')  # download data\n",
-    "btcusdc_df = set_column_names(btcusdc_df)  # set column names\n",
-    "btcusdc_df['Close_time'] = btcusdc_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))  # convert timestamp to date+time\n",
-    "\n",
-    "btcusdc_1h_df = calculate_ohclv(btcusdc_df)  # calculate 1h OHCLV candles\n",
-    "btcusdc_1h_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Join altogether:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "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>Open</th>\n",
-       "      <th>High</th>\n",
-       "      <th>Low</th>\n",
-       "      <th>Close</th>\n",
-       "      <th>Volume</th>\n",
-       "      <th>Close_time</th>\n",
-       "      <th>pair</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>20573.90</td>\n",
-       "      <td>20705.74</td>\n",
-       "      <td>20396.77</td>\n",
-       "      <td>20672.30</td>\n",
-       "      <td>4235.77392</td>\n",
-       "      <td>2022-06-21 00:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>20549.65</td>\n",
-       "      <td>20703.08</td>\n",
-       "      <td>20371.75</td>\n",
-       "      <td>20647.35</td>\n",
-       "      <td>284.73521</td>\n",
-       "      <td>2022-06-21 00:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>20648.06</td>\n",
-       "      <td>20771.07</td>\n",
-       "      <td>20482.83</td>\n",
-       "      <td>20646.88</td>\n",
-       "      <td>192.50513</td>\n",
-       "      <td>2022-06-21 01:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>20672.30</td>\n",
-       "      <td>20783.99</td>\n",
-       "      <td>20504.89</td>\n",
-       "      <td>20670.88</td>\n",
-       "      <td>3892.91412</td>\n",
-       "      <td>2022-06-21 01:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>20670.87</td>\n",
-       "      <td>20699.93</td>\n",
-       "      <td>20348.40</td>\n",
-       "      <td>20433.49</td>\n",
-       "      <td>2876.88928</td>\n",
-       "      <td>2022-06-21 02:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>20644.78</td>\n",
-       "      <td>20672.98</td>\n",
-       "      <td>20331.36</td>\n",
-       "      <td>20406.71</td>\n",
-       "      <td>195.67023</td>\n",
-       "      <td>2022-06-21 02:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>20433.49</td>\n",
-       "      <td>20665.26</td>\n",
-       "      <td>20365.00</td>\n",
-       "      <td>20614.04</td>\n",
-       "      <td>3306.77018</td>\n",
-       "      <td>2022-06-21 03:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>20402.27</td>\n",
-       "      <td>20649.99</td>\n",
-       "      <td>20331.48</td>\n",
-       "      <td>20585.98</td>\n",
-       "      <td>290.39210</td>\n",
-       "      <td>2022-06-21 03:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>20614.04</td>\n",
-       "      <td>20740.72</td>\n",
-       "      <td>20474.41</td>\n",
-       "      <td>20656.17</td>\n",
-       "      <td>2925.33542</td>\n",
-       "      <td>2022-06-21 04:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>20586.63</td>\n",
-       "      <td>20721.10</td>\n",
-       "      <td>20449.57</td>\n",
-       "      <td>20632.33</td>\n",
-       "      <td>205.78459</td>\n",
-       "      <td>2022-06-21 04:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>20656.17</td>\n",
-       "      <td>21029.93</td>\n",
-       "      <td>20621.14</td>\n",
-       "      <td>20890.77</td>\n",
-       "      <td>6516.65611</td>\n",
-       "      <td>2022-06-21 05:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>20640.33</td>\n",
-       "      <td>20999.00</td>\n",
-       "      <td>20594.58</td>\n",
-       "      <td>20866.07</td>\n",
-       "      <td>412.42477</td>\n",
-       "      <td>2022-06-21 05:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>20890.77</td>\n",
-       "      <td>21202.00</td>\n",
-       "      <td>20890.77</td>\n",
-       "      <td>21192.08</td>\n",
-       "      <td>6114.51662</td>\n",
-       "      <td>2022-06-21 06:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>20873.25</td>\n",
-       "      <td>21178.00</td>\n",
-       "      <td>20873.25</td>\n",
-       "      <td>21169.64</td>\n",
-       "      <td>524.25894</td>\n",
-       "      <td>2022-06-21 06:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>21192.08</td>\n",
-       "      <td>21333.00</td>\n",
-       "      <td>20952.46</td>\n",
-       "      <td>21120.28</td>\n",
-       "      <td>5433.08603</td>\n",
-       "      <td>2022-06-21 07:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>21166.58</td>\n",
-       "      <td>21300.00</td>\n",
-       "      <td>20913.40</td>\n",
-       "      <td>21097.44</td>\n",
-       "      <td>304.65113</td>\n",
-       "      <td>2022-06-21 07:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>21097.20</td>\n",
-       "      <td>21471.91</td>\n",
-       "      <td>21023.64</td>\n",
-       "      <td>21327.56</td>\n",
-       "      <td>366.29201</td>\n",
-       "      <td>2022-06-21 08:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>21120.28</td>\n",
-       "      <td>21500.01</td>\n",
-       "      <td>21051.25</td>\n",
-       "      <td>21356.32</td>\n",
-       "      <td>6241.36801</td>\n",
-       "      <td>2022-06-21 08:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>21342.76</td>\n",
-       "      <td>21448.22</td>\n",
-       "      <td>21144.24</td>\n",
-       "      <td>21182.12</td>\n",
-       "      <td>350.77543</td>\n",
-       "      <td>2022-06-21 09:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>21356.32</td>\n",
-       "      <td>21470.00</td>\n",
-       "      <td>21166.94</td>\n",
-       "      <td>21200.00</td>\n",
-       "      <td>4961.57496</td>\n",
-       "      <td>2022-06-21 09:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>21175.75</td>\n",
-       "      <td>21298.52</td>\n",
-       "      <td>21038.30</td>\n",
-       "      <td>21270.98</td>\n",
-       "      <td>526.66602</td>\n",
-       "      <td>2022-06-21 10:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>21200.01</td>\n",
-       "      <td>21307.83</td>\n",
-       "      <td>21061.54</td>\n",
-       "      <td>21299.27</td>\n",
-       "      <td>3982.47578</td>\n",
-       "      <td>2022-06-21 10:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>21273.73</td>\n",
-       "      <td>21336.94</td>\n",
-       "      <td>20887.17</td>\n",
-       "      <td>20948.96</td>\n",
-       "      <td>579.00200</td>\n",
-       "      <td>2022-06-21 11:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>21299.02</td>\n",
-       "      <td>21361.03</td>\n",
-       "      <td>20911.13</td>\n",
-       "      <td>20962.42</td>\n",
-       "      <td>4685.42524</td>\n",
-       "      <td>2022-06-21 11:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>20936.59</td>\n",
-       "      <td>21143.99</td>\n",
-       "      <td>20800.00</td>\n",
-       "      <td>21079.42</td>\n",
-       "      <td>452.07214</td>\n",
-       "      <td>2022-06-21 12:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>20962.42</td>\n",
-       "      <td>21163.24</td>\n",
-       "      <td>20853.36</td>\n",
-       "      <td>21106.20</td>\n",
-       "      <td>5596.26303</td>\n",
-       "      <td>2022-06-21 12:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>21079.41</td>\n",
-       "      <td>21629.36</td>\n",
-       "      <td>20968.21</td>\n",
-       "      <td>21592.69</td>\n",
-       "      <td>507.91190</td>\n",
-       "      <td>2022-06-21 13:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>21106.19</td>\n",
-       "      <td>21650.00</td>\n",
-       "      <td>20995.64</td>\n",
-       "      <td>21619.31</td>\n",
-       "      <td>8667.59080</td>\n",
-       "      <td>2022-06-21 13:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>21619.31</td>\n",
-       "      <td>21723.00</td>\n",
-       "      <td>21427.82</td>\n",
-       "      <td>21590.79</td>\n",
-       "      <td>6295.02429</td>\n",
-       "      <td>2022-06-21 14:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>21595.13</td>\n",
-       "      <td>21699.98</td>\n",
-       "      <td>21394.05</td>\n",
-       "      <td>21572.00</td>\n",
-       "      <td>445.73978</td>\n",
-       "      <td>2022-06-21 14:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>21571.96</td>\n",
-       "      <td>21671.34</td>\n",
-       "      <td>21314.94</td>\n",
-       "      <td>21370.87</td>\n",
-       "      <td>435.99237</td>\n",
-       "      <td>2022-06-21 15:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>21590.79</td>\n",
-       "      <td>21604.27</td>\n",
-       "      <td>21339.07</td>\n",
-       "      <td>21392.19</td>\n",
-       "      <td>3809.54622</td>\n",
-       "      <td>2022-06-21 15:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>21370.08</td>\n",
-       "      <td>21533.14</td>\n",
-       "      <td>21330.00</td>\n",
-       "      <td>21377.52</td>\n",
-       "      <td>243.10368</td>\n",
-       "      <td>2022-06-21 16:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>21392.18</td>\n",
-       "      <td>21550.39</td>\n",
-       "      <td>21355.77</td>\n",
-       "      <td>21401.52</td>\n",
-       "      <td>2421.77629</td>\n",
-       "      <td>2022-06-21 16:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>21377.85</td>\n",
-       "      <td>21434.58</td>\n",
-       "      <td>21168.59</td>\n",
-       "      <td>21220.14</td>\n",
-       "      <td>291.46137</td>\n",
-       "      <td>2022-06-21 17:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>21401.52</td>\n",
-       "      <td>21457.82</td>\n",
-       "      <td>21195.70</td>\n",
-       "      <td>21242.94</td>\n",
-       "      <td>3755.82919</td>\n",
-       "      <td>2022-06-21 17:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>21242.93</td>\n",
-       "      <td>21256.99</td>\n",
-       "      <td>21076.48</td>\n",
-       "      <td>21100.01</td>\n",
-       "      <td>2820.40675</td>\n",
-       "      <td>2022-06-21 18:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>21220.14</td>\n",
-       "      <td>21233.94</td>\n",
-       "      <td>21054.72</td>\n",
-       "      <td>21074.20</td>\n",
-       "      <td>423.05836</td>\n",
-       "      <td>2022-06-21 18:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>21074.81</td>\n",
-       "      <td>21279.52</td>\n",
-       "      <td>20851.10</td>\n",
-       "      <td>20866.39</td>\n",
-       "      <td>266.46488</td>\n",
-       "      <td>2022-06-21 19:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>21100.00</td>\n",
-       "      <td>21306.51</td>\n",
-       "      <td>20870.01</td>\n",
-       "      <td>20888.64</td>\n",
-       "      <td>4015.33528</td>\n",
-       "      <td>2022-06-21 19:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>20864.31</td>\n",
-       "      <td>20960.98</td>\n",
-       "      <td>20645.03</td>\n",
-       "      <td>20838.52</td>\n",
-       "      <td>330.79569</td>\n",
-       "      <td>2022-06-21 20:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>20888.63</td>\n",
-       "      <td>20987.38</td>\n",
-       "      <td>20666.00</td>\n",
-       "      <td>20859.86</td>\n",
-       "      <td>4442.87596</td>\n",
-       "      <td>2022-06-21 20:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>20838.51</td>\n",
-       "      <td>21057.01</td>\n",
-       "      <td>20780.29</td>\n",
-       "      <td>20958.22</td>\n",
-       "      <td>99.09836</td>\n",
-       "      <td>2022-06-21 21:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>20859.86</td>\n",
-       "      <td>21054.99</td>\n",
-       "      <td>20808.00</td>\n",
-       "      <td>20972.91</td>\n",
-       "      <td>1813.56236</td>\n",
-       "      <td>2022-06-21 21:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>20950.07</td>\n",
-       "      <td>20975.92</td>\n",
-       "      <td>20719.02</td>\n",
-       "      <td>20875.37</td>\n",
-       "      <td>177.08203</td>\n",
-       "      <td>2022-06-21 22:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>20972.91</td>\n",
-       "      <td>21003.70</td>\n",
-       "      <td>20741.03</td>\n",
-       "      <td>20897.00</td>\n",
-       "      <td>2945.61650</td>\n",
-       "      <td>2022-06-21 22:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>20897.00</td>\n",
-       "      <td>20943.17</td>\n",
-       "      <td>20551.00</td>\n",
-       "      <td>20723.52</td>\n",
-       "      <td>2613.77441</td>\n",
-       "      <td>2022-06-21 23:59:59.999</td>\n",
-       "      <td>BTC-USDT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>20880.71</td>\n",
-       "      <td>20916.85</td>\n",
-       "      <td>20527.90</td>\n",
-       "      <td>20699.78</td>\n",
-       "      <td>173.22797</td>\n",
-       "      <td>2022-06-21 23:59:59.999</td>\n",
-       "      <td>BTC-USDC</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        Open      High       Low     Close      Volume  \\\n",
-       "0   20573.90  20705.74  20396.77  20672.30  4235.77392   \n",
-       "0   20549.65  20703.08  20371.75  20647.35   284.73521   \n",
-       "1   20648.06  20771.07  20482.83  20646.88   192.50513   \n",
-       "1   20672.30  20783.99  20504.89  20670.88  3892.91412   \n",
-       "2   20670.87  20699.93  20348.40  20433.49  2876.88928   \n",
-       "2   20644.78  20672.98  20331.36  20406.71   195.67023   \n",
-       "3   20433.49  20665.26  20365.00  20614.04  3306.77018   \n",
-       "3   20402.27  20649.99  20331.48  20585.98   290.39210   \n",
-       "4   20614.04  20740.72  20474.41  20656.17  2925.33542   \n",
-       "4   20586.63  20721.10  20449.57  20632.33   205.78459   \n",
-       "5   20656.17  21029.93  20621.14  20890.77  6516.65611   \n",
-       "5   20640.33  20999.00  20594.58  20866.07   412.42477   \n",
-       "6   20890.77  21202.00  20890.77  21192.08  6114.51662   \n",
-       "6   20873.25  21178.00  20873.25  21169.64   524.25894   \n",
-       "7   21192.08  21333.00  20952.46  21120.28  5433.08603   \n",
-       "7   21166.58  21300.00  20913.40  21097.44   304.65113   \n",
-       "8   21097.20  21471.91  21023.64  21327.56   366.29201   \n",
-       "8   21120.28  21500.01  21051.25  21356.32  6241.36801   \n",
-       "9   21342.76  21448.22  21144.24  21182.12   350.77543   \n",
-       "9   21356.32  21470.00  21166.94  21200.00  4961.57496   \n",
-       "10  21175.75  21298.52  21038.30  21270.98   526.66602   \n",
-       "10  21200.01  21307.83  21061.54  21299.27  3982.47578   \n",
-       "11  21273.73  21336.94  20887.17  20948.96   579.00200   \n",
-       "11  21299.02  21361.03  20911.13  20962.42  4685.42524   \n",
-       "12  20936.59  21143.99  20800.00  21079.42   452.07214   \n",
-       "12  20962.42  21163.24  20853.36  21106.20  5596.26303   \n",
-       "13  21079.41  21629.36  20968.21  21592.69   507.91190   \n",
-       "13  21106.19  21650.00  20995.64  21619.31  8667.59080   \n",
-       "14  21619.31  21723.00  21427.82  21590.79  6295.02429   \n",
-       "14  21595.13  21699.98  21394.05  21572.00   445.73978   \n",
-       "15  21571.96  21671.34  21314.94  21370.87   435.99237   \n",
-       "15  21590.79  21604.27  21339.07  21392.19  3809.54622   \n",
-       "16  21370.08  21533.14  21330.00  21377.52   243.10368   \n",
-       "16  21392.18  21550.39  21355.77  21401.52  2421.77629   \n",
-       "17  21377.85  21434.58  21168.59  21220.14   291.46137   \n",
-       "17  21401.52  21457.82  21195.70  21242.94  3755.82919   \n",
-       "18  21242.93  21256.99  21076.48  21100.01  2820.40675   \n",
-       "18  21220.14  21233.94  21054.72  21074.20   423.05836   \n",
-       "19  21074.81  21279.52  20851.10  20866.39   266.46488   \n",
-       "19  21100.00  21306.51  20870.01  20888.64  4015.33528   \n",
-       "20  20864.31  20960.98  20645.03  20838.52   330.79569   \n",
-       "20  20888.63  20987.38  20666.00  20859.86  4442.87596   \n",
-       "21  20838.51  21057.01  20780.29  20958.22    99.09836   \n",
-       "21  20859.86  21054.99  20808.00  20972.91  1813.56236   \n",
-       "22  20950.07  20975.92  20719.02  20875.37   177.08203   \n",
-       "22  20972.91  21003.70  20741.03  20897.00  2945.61650   \n",
-       "23  20897.00  20943.17  20551.00  20723.52  2613.77441   \n",
-       "23  20880.71  20916.85  20527.90  20699.78   173.22797   \n",
-       "\n",
-       "                Close_time      pair  \n",
-       "0  2022-06-21 00:59:59.999  BTC-USDT  \n",
-       "0  2022-06-21 00:59:59.999  BTC-USDC  \n",
-       "1  2022-06-21 01:59:59.999  BTC-USDC  \n",
-       "1  2022-06-21 01:59:59.999  BTC-USDT  \n",
-       "2  2022-06-21 02:59:59.999  BTC-USDT  \n",
-       "2  2022-06-21 02:59:59.999  BTC-USDC  \n",
-       "3  2022-06-21 03:59:59.999  BTC-USDT  \n",
-       "3  2022-06-21 03:59:59.999  BTC-USDC  \n",
-       "4  2022-06-21 04:59:59.999  BTC-USDT  \n",
-       "4  2022-06-21 04:59:59.999  BTC-USDC  \n",
-       "5  2022-06-21 05:59:59.999  BTC-USDT  \n",
-       "5  2022-06-21 05:59:59.999  BTC-USDC  \n",
-       "6  2022-06-21 06:59:59.999  BTC-USDT  \n",
-       "6  2022-06-21 06:59:59.999  BTC-USDC  \n",
-       "7  2022-06-21 07:59:59.999  BTC-USDT  \n",
-       "7  2022-06-21 07:59:59.999  BTC-USDC  \n",
-       "8  2022-06-21 08:59:59.999  BTC-USDC  \n",
-       "8  2022-06-21 08:59:59.999  BTC-USDT  \n",
-       "9  2022-06-21 09:59:59.999  BTC-USDC  \n",
-       "9  2022-06-21 09:59:59.999  BTC-USDT  \n",
-       "10 2022-06-21 10:59:59.999  BTC-USDC  \n",
-       "10 2022-06-21 10:59:59.999  BTC-USDT  \n",
-       "11 2022-06-21 11:59:59.999  BTC-USDC  \n",
-       "11 2022-06-21 11:59:59.999  BTC-USDT  \n",
-       "12 2022-06-21 12:59:59.999  BTC-USDC  \n",
-       "12 2022-06-21 12:59:59.999  BTC-USDT  \n",
-       "13 2022-06-21 13:59:59.999  BTC-USDC  \n",
-       "13 2022-06-21 13:59:59.999  BTC-USDT  \n",
-       "14 2022-06-21 14:59:59.999  BTC-USDT  \n",
-       "14 2022-06-21 14:59:59.999  BTC-USDC  \n",
-       "15 2022-06-21 15:59:59.999  BTC-USDC  \n",
-       "15 2022-06-21 15:59:59.999  BTC-USDT  \n",
-       "16 2022-06-21 16:59:59.999  BTC-USDC  \n",
-       "16 2022-06-21 16:59:59.999  BTC-USDT  \n",
-       "17 2022-06-21 17:59:59.999  BTC-USDC  \n",
-       "17 2022-06-21 17:59:59.999  BTC-USDT  \n",
-       "18 2022-06-21 18:59:59.999  BTC-USDT  \n",
-       "18 2022-06-21 18:59:59.999  BTC-USDC  \n",
-       "19 2022-06-21 19:59:59.999  BTC-USDC  \n",
-       "19 2022-06-21 19:59:59.999  BTC-USDT  \n",
-       "20 2022-06-21 20:59:59.999  BTC-USDC  \n",
-       "20 2022-06-21 20:59:59.999  BTC-USDT  \n",
-       "21 2022-06-21 21:59:59.999  BTC-USDC  \n",
-       "21 2022-06-21 21:59:59.999  BTC-USDT  \n",
-       "22 2022-06-21 22:59:59.999  BTC-USDC  \n",
-       "22 2022-06-21 22:59:59.999  BTC-USDT  \n",
-       "23 2022-06-21 23:59:59.999  BTC-USDT  \n",
-       "23 2022-06-21 23:59:59.999  BTC-USDC  "
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "btcusdt_1h_df['pair'] = 'BTC-USDT'\n",
-    "btcusdc_1h_df['pair'] = 'BTC-USDC'\n",
-    "\n",
-    "# Join datasets\n",
-    "candles_1h_df = pd.concat([btcusdt_1h_df, btcusdc_1h_df])\n",
-    "\n",
-    "# Validate result\n",
-    "assert(\n",
-    "    isinstance(candles_1h_df, pd.DataFrame)\n",
-    "    and candles_1h_df.shape == (48, 7)\n",
-    "    and (candles_1h_df['pair'].unique() == ['BTC-USDT', 'BTC-USDC']).all()\n",
-    ")\n",
-    "\n",
-    "# Sort output by Close_time\n",
-    "candles_1h_df.sort_values('Close_time')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 4: Advanced analytics and visualization\n",
-    "\n",
-    "Great! We have a dataset with 2 pairs. Let's think about what interesting things can be found there :bulb: and try to visualize it.\n",
-    "Feel free to use your favorite framework(s) for visualization."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conclusion\n",
-    "\n",
-    "Great job! Thanks for your work and ideas. I hope it was an exciting journey!"
-   ]
-  }
- ],
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