diff --git a/README.md b/README.md
index 5695683..92763a8 100644
--- a/README.md
+++ b/README.md
@@ -97,6 +97,28 @@ python3 prepare_cache.py --symbols BAC AAPL --day_start 2024-10-14 --day_stop 20
 
 ```
 
+## remote loaders
+
+Remote bars of given resolutions from Alpaca.
+
+Available resolutions Minute, Hours, Day. It s not possible to limit included trades.
+Use only when no precision required.
+
+```python
+from ttools.external_loaders import load_history_bars
+from ttools.config import zoneNY
+from datetime import datetime, time
+from alpaca.data.timeframe import TimeFrame, TimeFrameUnit
+
+symbol = "AAPL"
+start_date = zoneNY.localize(datetime(2023, 2, 27, 18, 51, 38))
+end_date = zoneNY.localize(datetime(2023, 4, 27, 21, 51, 39))
+timeframe = TimeFrame(amount=1,unit=TimeFrameUnit.Minute)
+
+df = load_history_bars(symbol, start_date, end_date, timeframe, main_session_only=True)
+df.loc[('AAPL',)]
+```
+
 # vbtutils
 
 Contains helpers for vbtpro
diff --git a/setup.py b/setup.py
index 7a82e84..4ecff9f 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@ from setuptools import setup, find_packages
 
 setup(
     name='ttools',
-    version='0.7.1',
+    version='0.7.2',
     packages=find_packages(),
     install_requires=[
         # list your dependencies here
diff --git a/tests/alpaca_loader.ipynb b/tests/alpaca_loader.ipynb
new file mode 100644
index 0000000..19a88c6
--- /dev/null
+++ b/tests/alpaca_loader.ipynb
@@ -0,0 +1,460 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "TTOOLS: Loaded env variables from file /Users/davidbrazda/Documents/Development/python/.env\n"
+     ]
+    }
+   ],
+   "source": [
+    "from ttools.external_loaders import load_history_bars\n",
+    "from ttools.config import zoneNY\n",
+    "from datetime import datetime, time\n",
+    "from alpaca.data.timeframe import TimeFrame, TimeFrameUnit\n",
+    "\n",
+    "symbol = \"AAPL\"\n",
+    "start_date = zoneNY.localize(datetime(2023, 2, 27, 18, 51, 38))\n",
+    "end_date = zoneNY.localize(datetime(2023, 4, 27, 21, 51, 39))\n",
+    "timeframe = TimeFrame(amount=1,unit=TimeFrameUnit.Minute)\n",
+    "\n",
+    "df = load_history_bars(symbol, start_date, end_date, timeframe, True)\n",
+    "df.loc[('AAPL',)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "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>trade_count</th>\n",
+       "      <th>vwap</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>timestamp</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2023-02-28 09:30:00-05:00</th>\n",
+       "      <td>147.050</td>\n",
+       "      <td>147.380</td>\n",
+       "      <td>146.830</td>\n",
+       "      <td>147.2700</td>\n",
+       "      <td>1554100.0</td>\n",
+       "      <td>6447.0</td>\n",
+       "      <td>146.914560</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-28 09:31:00-05:00</th>\n",
+       "      <td>147.250</td>\n",
+       "      <td>147.320</td>\n",
+       "      <td>147.180</td>\n",
+       "      <td>147.2942</td>\n",
+       "      <td>159387.0</td>\n",
+       "      <td>6855.0</td>\n",
+       "      <td>147.252171</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-28 09:32:00-05:00</th>\n",
+       "      <td>147.305</td>\n",
+       "      <td>147.330</td>\n",
+       "      <td>147.090</td>\n",
+       "      <td>147.1600</td>\n",
+       "      <td>214536.0</td>\n",
+       "      <td>7435.0</td>\n",
+       "      <td>147.210128</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-28 09:33:00-05:00</th>\n",
+       "      <td>147.140</td>\n",
+       "      <td>147.230</td>\n",
+       "      <td>147.090</td>\n",
+       "      <td>147.1500</td>\n",
+       "      <td>171487.0</td>\n",
+       "      <td>7235.0</td>\n",
+       "      <td>147.154832</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-28 09:34:00-05:00</th>\n",
+       "      <td>147.160</td>\n",
+       "      <td>147.160</td>\n",
+       "      <td>146.880</td>\n",
+       "      <td>146.9850</td>\n",
+       "      <td>235915.0</td>\n",
+       "      <td>4965.0</td>\n",
+       "      <td>147.001762</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 15:26:00-04:00</th>\n",
+       "      <td>168.400</td>\n",
+       "      <td>168.415</td>\n",
+       "      <td>168.340</td>\n",
+       "      <td>168.3601</td>\n",
+       "      <td>163973.0</td>\n",
+       "      <td>1398.0</td>\n",
+       "      <td>168.368809</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 15:27:00-04:00</th>\n",
+       "      <td>168.360</td>\n",
+       "      <td>168.400</td>\n",
+       "      <td>168.330</td>\n",
+       "      <td>168.3800</td>\n",
+       "      <td>130968.0</td>\n",
+       "      <td>1420.0</td>\n",
+       "      <td>168.364799</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 15:28:00-04:00</th>\n",
+       "      <td>168.380</td>\n",
+       "      <td>168.430</td>\n",
+       "      <td>168.320</td>\n",
+       "      <td>168.3285</td>\n",
+       "      <td>152193.0</td>\n",
+       "      <td>1361.0</td>\n",
+       "      <td>168.372671</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 15:29:00-04:00</th>\n",
+       "      <td>168.325</td>\n",
+       "      <td>168.330</td>\n",
+       "      <td>168.260</td>\n",
+       "      <td>168.2850</td>\n",
+       "      <td>208426.0</td>\n",
+       "      <td>1736.0</td>\n",
+       "      <td>168.297379</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 15:30:00-04:00</th>\n",
+       "      <td>168.280</td>\n",
+       "      <td>168.350</td>\n",
+       "      <td>168.255</td>\n",
+       "      <td>168.3450</td>\n",
+       "      <td>218077.0</td>\n",
+       "      <td>1694.0</td>\n",
+       "      <td>168.308873</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>15162 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                              open     high      low     close     volume  \\\n",
+       "timestamp                                                                   \n",
+       "2023-02-28 09:30:00-05:00  147.050  147.380  146.830  147.2700  1554100.0   \n",
+       "2023-02-28 09:31:00-05:00  147.250  147.320  147.180  147.2942   159387.0   \n",
+       "2023-02-28 09:32:00-05:00  147.305  147.330  147.090  147.1600   214536.0   \n",
+       "2023-02-28 09:33:00-05:00  147.140  147.230  147.090  147.1500   171487.0   \n",
+       "2023-02-28 09:34:00-05:00  147.160  147.160  146.880  146.9850   235915.0   \n",
+       "...                            ...      ...      ...       ...        ...   \n",
+       "2023-04-27 15:26:00-04:00  168.400  168.415  168.340  168.3601   163973.0   \n",
+       "2023-04-27 15:27:00-04:00  168.360  168.400  168.330  168.3800   130968.0   \n",
+       "2023-04-27 15:28:00-04:00  168.380  168.430  168.320  168.3285   152193.0   \n",
+       "2023-04-27 15:29:00-04:00  168.325  168.330  168.260  168.2850   208426.0   \n",
+       "2023-04-27 15:30:00-04:00  168.280  168.350  168.255  168.3450   218077.0   \n",
+       "\n",
+       "                           trade_count        vwap  \n",
+       "timestamp                                           \n",
+       "2023-02-28 09:30:00-05:00       6447.0  146.914560  \n",
+       "2023-02-28 09:31:00-05:00       6855.0  147.252171  \n",
+       "2023-02-28 09:32:00-05:00       7435.0  147.210128  \n",
+       "2023-02-28 09:33:00-05:00       7235.0  147.154832  \n",
+       "2023-02-28 09:34:00-05:00       4965.0  147.001762  \n",
+       "...                                ...         ...  \n",
+       "2023-04-27 15:26:00-04:00       1398.0  168.368809  \n",
+       "2023-04-27 15:27:00-04:00       1420.0  168.364799  \n",
+       "2023-04-27 15:28:00-04:00       1361.0  168.372671  \n",
+       "2023-04-27 15:29:00-04:00       1736.0  168.297379  \n",
+       "2023-04-27 15:30:00-04:00       1694.0  168.308873  \n",
+       "\n",
+       "[15162 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.loc[('AAPL',)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "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></th>\n",
+       "      <th>open</th>\n",
+       "      <th>high</th>\n",
+       "      <th>low</th>\n",
+       "      <th>close</th>\n",
+       "      <th>volume</th>\n",
+       "      <th>trade_count</th>\n",
+       "      <th>vwap</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>symbol</th>\n",
+       "      <th>timestamp</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"11\" valign=\"top\">AAPL</th>\n",
+       "      <th>2023-02-27 18:52:00-05:00</th>\n",
+       "      <td>148.0200</td>\n",
+       "      <td>148.02</td>\n",
+       "      <td>148.0200</td>\n",
+       "      <td>148.02</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>148.020000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-27 18:56:00-05:00</th>\n",
+       "      <td>148.0200</td>\n",
+       "      <td>148.02</td>\n",
+       "      <td>148.0200</td>\n",
+       "      <td>148.02</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>148.020000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-27 19:00:00-05:00</th>\n",
+       "      <td>148.0299</td>\n",
+       "      <td>148.03</td>\n",
+       "      <td>148.0299</td>\n",
+       "      <td>148.03</td>\n",
+       "      <td>1957.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>148.029993</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-27 19:06:00-05:00</th>\n",
+       "      <td>148.0600</td>\n",
+       "      <td>148.06</td>\n",
+       "      <td>148.0600</td>\n",
+       "      <td>148.06</td>\n",
+       "      <td>122.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>148.060000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-02-27 19:09:00-05:00</th>\n",
+       "      <td>148.0500</td>\n",
+       "      <td>148.10</td>\n",
+       "      <td>148.0500</td>\n",
+       "      <td>148.10</td>\n",
+       "      <td>1604.0</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>148.075109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 19:54:00-04:00</th>\n",
+       "      <td>167.8000</td>\n",
+       "      <td>167.80</td>\n",
+       "      <td>167.8000</td>\n",
+       "      <td>167.80</td>\n",
+       "      <td>534.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>167.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 19:56:00-04:00</th>\n",
+       "      <td>167.8800</td>\n",
+       "      <td>167.88</td>\n",
+       "      <td>167.8800</td>\n",
+       "      <td>167.88</td>\n",
+       "      <td>1386.0</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>167.880000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 19:57:00-04:00</th>\n",
+       "      <td>167.8000</td>\n",
+       "      <td>167.80</td>\n",
+       "      <td>167.8000</td>\n",
+       "      <td>167.80</td>\n",
+       "      <td>912.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>167.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 19:58:00-04:00</th>\n",
+       "      <td>167.8000</td>\n",
+       "      <td>167.88</td>\n",
+       "      <td>167.8000</td>\n",
+       "      <td>167.88</td>\n",
+       "      <td>3311.0</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>167.877333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-04-27 19:59:00-04:00</th>\n",
+       "      <td>167.9000</td>\n",
+       "      <td>167.94</td>\n",
+       "      <td>167.9000</td>\n",
+       "      <td>167.94</td>\n",
+       "      <td>1969.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>167.918150</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>31217 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                      open    high       low   close  volume  \\\n",
+       "symbol timestamp                                                               \n",
+       "AAPL   2023-02-27 18:52:00-05:00  148.0200  148.02  148.0200  148.02   112.0   \n",
+       "       2023-02-27 18:56:00-05:00  148.0200  148.02  148.0200  148.02   175.0   \n",
+       "       2023-02-27 19:00:00-05:00  148.0299  148.03  148.0299  148.03  1957.0   \n",
+       "       2023-02-27 19:06:00-05:00  148.0600  148.06  148.0600  148.06   122.0   \n",
+       "       2023-02-27 19:09:00-05:00  148.0500  148.10  148.0500  148.10  1604.0   \n",
+       "...                                    ...     ...       ...     ...     ...   \n",
+       "       2023-04-27 19:54:00-04:00  167.8000  167.80  167.8000  167.80   534.0   \n",
+       "       2023-04-27 19:56:00-04:00  167.8800  167.88  167.8800  167.88  1386.0   \n",
+       "       2023-04-27 19:57:00-04:00  167.8000  167.80  167.8000  167.80   912.0   \n",
+       "       2023-04-27 19:58:00-04:00  167.8000  167.88  167.8000  167.88  3311.0   \n",
+       "       2023-04-27 19:59:00-04:00  167.9000  167.94  167.9000  167.94  1969.0   \n",
+       "\n",
+       "                                  trade_count        vwap  \n",
+       "symbol timestamp                                           \n",
+       "AAPL   2023-02-27 18:52:00-05:00          7.0  148.020000  \n",
+       "       2023-02-27 18:56:00-05:00         10.0  148.020000  \n",
+       "       2023-02-27 19:00:00-05:00         10.0  148.029993  \n",
+       "       2023-02-27 19:06:00-05:00          7.0  148.060000  \n",
+       "       2023-02-27 19:09:00-05:00         33.0  148.075109  \n",
+       "...                                       ...         ...  \n",
+       "       2023-04-27 19:54:00-04:00         15.0  167.800000  \n",
+       "       2023-04-27 19:56:00-04:00         28.0  167.880000  \n",
+       "       2023-04-27 19:57:00-04:00         60.0  167.800000  \n",
+       "       2023-04-27 19:58:00-04:00         22.0  167.877333  \n",
+       "       2023-04-27 19:59:00-04:00         64.0  167.918150  \n",
+       "\n",
+       "[31217 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/tests/data_loader_tryme.ipynb b/tests/data_loader_tryme.ipynb
index 5ff47da..344b5ec 100644
--- a/tests/data_loader_tryme.ipynb
+++ b/tests/data_loader_tryme.ipynb
@@ -729,7 +729,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -741,7 +741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -919,7 +919,7 @@
        "[222754 rows x 6 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/ttools/__init__.py b/ttools/__init__.py
index bf5d974..06ea2dd 100644
--- a/ttools/__init__.py
+++ b/ttools/__init__.py
@@ -1,4 +1,5 @@
 from .vbtutils import AnchoredIndicator, create_mask_from_window, isrising, isfalling, isrisingc, isfallingc, trades2entries_exits, figs2cell
 from .vbtindicators import register_custom_inds
 from .utils import AggType, zoneNY, zonePRG, zoneUTC
-from .loaders import load_data, prepare_trade_cache
\ No newline at end of file
+from .loaders import load_data, prepare_trade_cache
+from .external_loaders import load_history_bars
\ No newline at end of file
diff --git a/ttools/external_loaders.py b/ttools/external_loaders.py
new file mode 100644
index 0000000..8878b8c
--- /dev/null
+++ b/ttools/external_loaders.py
@@ -0,0 +1,55 @@
+from ctypes import Union
+from ttools import zoneUTC
+from ttools.config import *
+from datetime import datetime
+from alpaca.data.historical import StockHistoricalDataClient
+from ttools.config import ACCOUNT1_LIVE_API_KEY, ACCOUNT1_LIVE_SECRET_KEY
+from datetime import timedelta, datetime, time
+from alpaca.data.enums import DataFeed
+from typing import List, Union
+import pandas as pd
+from alpaca.data.historical import StockHistoricalDataClient
+from alpaca.data.requests import StockBarsRequest
+from alpaca.data.enums import DataFeed 
+from alpaca.data.timeframe import TimeFrame, TimeFrameUnit
+
+def load_history_bars(symbol: Union[str, List[str]], datetime_object_from: datetime, datetime_object_to: datetime, timeframe: TimeFrame, main_session_only: bool = True):
+    """Returns dataframe fetched remotely from Alpaca.
+
+    Args:
+        symbol: symbol or list of symbols
+        datetime_object_from: datetime in zoneNY
+        datetime_object_to: datetime in zoneNY
+        timeframe: timeframe
+        main_session_only: boolean to fetch only main session data
+
+    Returns:
+        dataframe
+
+    Example:
+    ```python
+    from ttools.external_loaders import load_history_bars
+    from ttools.config import zoneNY
+    from datetime import datetime
+    from alpaca.data.timeframe import TimeFrame, TimeFrameUnit
+
+    symbol = "AAPL"
+    start_date = zoneNY.localize(datetime(2023, 2, 27, 18, 51, 38))
+    end_date = zoneNY.localize(datetime(2023, 4, 27, 21, 51, 39))
+    timeframe = TimeFrame(amount=1,unit=TimeFrameUnit.Minute)
+
+    df = load_history_bars(symbol, start_date, end_date, timeframe)
+    ```
+    """
+    client = StockHistoricalDataClient(ACCOUNT1_LIVE_API_KEY, ACCOUNT1_LIVE_SECRET_KEY, raw_data=False)
+    #datetime_object_from = datetime(2023, 2, 27, 18, 51, 38, tzinfo=datetime.timezone.utc)
+    #datetime_object_to = datetime(2023, 2, 27, 21, 51, 39, tzinfo=datetime.timezone.utc)
+    bar_request = StockBarsRequest(symbol_or_symbols=symbol,timeframe=timeframe, start=datetime_object_from, end=datetime_object_to, feed=DataFeed.SIP)
+    #print("before df")
+    df = client.get_stock_bars(bar_request).df
+    df.index = df.index.set_levels(df.index.get_level_values(1).tz_convert(zoneNY), level=1)
+    if main_session_only:
+        start_time = time(9, 30, 0)
+        end_time = time(15, 30, 0)
+        df = df.loc[(df.index.get_level_values(1).time >= start_time) & (df.index.get_level_values(1).time <= end_time)]
+    return df