461 lines
16 KiB
Plaintext
461 lines
16 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"TTOOLS: Loaded env variables from file /Users/davidbrazda/Documents/Development/python/.env\n"
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]
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}
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],
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"source": [
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"from ttools.external_loaders import load_history_bars\n",
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"from ttools.config import zoneNY\n",
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"from datetime import datetime, time\n",
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"from alpaca.data.timeframe import TimeFrame, TimeFrameUnit\n",
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"\n",
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"symbol = \"AAPL\"\n",
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"start_date = zoneNY.localize(datetime(2023, 2, 27, 18, 51, 38))\n",
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"end_date = zoneNY.localize(datetime(2023, 4, 27, 21, 51, 39))\n",
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"timeframe = TimeFrame(amount=1,unit=TimeFrameUnit.Minute)\n",
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"\n",
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"df = load_history_bars(symbol, start_date, end_date, timeframe, True)\n",
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"df.loc[('AAPL',)]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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" <th></th>\n",
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" <th>high</th>\n",
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" <th>low</th>\n",
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" <th>close</th>\n",
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" <th>volume</th>\n",
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" <th>trade_count</th>\n",
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" <th>vwap</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>timestamp</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <tr>\n",
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" <th>2023-02-28 09:30:00-05:00</th>\n",
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" <td>147.050</td>\n",
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" <td>147.380</td>\n",
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" <td>146.830</td>\n",
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" <td>147.2700</td>\n",
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" <td>146.914560</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-28 09:31:00-05:00</th>\n",
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" <td>147.250</td>\n",
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" <td>147.320</td>\n",
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" <td>147.180</td>\n",
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" <td>147.2942</td>\n",
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" <td>159387.0</td>\n",
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" <td>6855.0</td>\n",
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" <td>147.252171</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-28 09:32:00-05:00</th>\n",
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" <td>147.305</td>\n",
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" <td>147.330</td>\n",
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" <td>147.090</td>\n",
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" <td>147.1600</td>\n",
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" <td>214536.0</td>\n",
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" <td>7435.0</td>\n",
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" <td>147.210128</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-28 09:33:00-05:00</th>\n",
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" <td>147.140</td>\n",
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" <td>147.230</td>\n",
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" <td>147.090</td>\n",
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" <td>147.1500</td>\n",
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" <td>171487.0</td>\n",
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" <td>7235.0</td>\n",
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" <td>147.154832</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-28 09:34:00-05:00</th>\n",
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" <td>147.160</td>\n",
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" <td>147.160</td>\n",
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" <td>146.880</td>\n",
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" <td>146.9850</td>\n",
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" <td>235915.0</td>\n",
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" <td>4965.0</td>\n",
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" <td>147.001762</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 15:26:00-04:00</th>\n",
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" <td>168.400</td>\n",
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" <td>168.415</td>\n",
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" <td>168.340</td>\n",
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" <td>168.3601</td>\n",
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" <td>163973.0</td>\n",
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" <td>1398.0</td>\n",
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" <td>168.368809</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 15:27:00-04:00</th>\n",
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" <td>168.360</td>\n",
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" <td>168.400</td>\n",
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" <td>168.330</td>\n",
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" <td>168.3800</td>\n",
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" <td>130968.0</td>\n",
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" <td>1420.0</td>\n",
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" <td>168.364799</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 15:28:00-04:00</th>\n",
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" <td>168.380</td>\n",
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" <td>168.430</td>\n",
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" <td>168.320</td>\n",
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" <td>168.3285</td>\n",
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" <td>152193.0</td>\n",
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" <td>1361.0</td>\n",
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" <td>168.372671</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 15:29:00-04:00</th>\n",
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" <td>168.325</td>\n",
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" <td>168.330</td>\n",
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" <td>168.260</td>\n",
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" <td>168.2850</td>\n",
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" <td>208426.0</td>\n",
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" <td>1736.0</td>\n",
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" <td>168.297379</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 15:30:00-04:00</th>\n",
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" <td>168.280</td>\n",
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" <td>168.350</td>\n",
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" <td>168.255</td>\n",
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" <td>168.3450</td>\n",
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" <td>218077.0</td>\n",
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" <td>1694.0</td>\n",
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" <td>168.308873</td>\n",
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" </tr>\n",
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" </tbody>\n",
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||
"</table>\n",
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"<p>15162 rows × 7 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" open high low close volume \\\n",
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"timestamp \n",
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"2023-02-28 09:30:00-05:00 147.050 147.380 146.830 147.2700 1554100.0 \n",
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"2023-02-28 09:31:00-05:00 147.250 147.320 147.180 147.2942 159387.0 \n",
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"2023-02-28 09:32:00-05:00 147.305 147.330 147.090 147.1600 214536.0 \n",
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"2023-02-28 09:33:00-05:00 147.140 147.230 147.090 147.1500 171487.0 \n",
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"2023-02-28 09:34:00-05:00 147.160 147.160 146.880 146.9850 235915.0 \n",
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"... ... ... ... ... ... \n",
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"2023-04-27 15:26:00-04:00 168.400 168.415 168.340 168.3601 163973.0 \n",
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"2023-04-27 15:27:00-04:00 168.360 168.400 168.330 168.3800 130968.0 \n",
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"2023-04-27 15:28:00-04:00 168.380 168.430 168.320 168.3285 152193.0 \n",
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"2023-04-27 15:29:00-04:00 168.325 168.330 168.260 168.2850 208426.0 \n",
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"2023-04-27 15:30:00-04:00 168.280 168.350 168.255 168.3450 218077.0 \n",
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"\n",
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" trade_count vwap \n",
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"timestamp \n",
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"2023-02-28 09:30:00-05:00 6447.0 146.914560 \n",
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"2023-02-28 09:31:00-05:00 6855.0 147.252171 \n",
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||
"2023-02-28 09:32:00-05:00 7435.0 147.210128 \n",
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||
"2023-02-28 09:33:00-05:00 7235.0 147.154832 \n",
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"2023-02-28 09:34:00-05:00 4965.0 147.001762 \n",
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||
"... ... ... \n",
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"2023-04-27 15:26:00-04:00 1398.0 168.368809 \n",
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"2023-04-27 15:27:00-04:00 1420.0 168.364799 \n",
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||
"2023-04-27 15:28:00-04:00 1361.0 168.372671 \n",
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||
"2023-04-27 15:29:00-04:00 1736.0 168.297379 \n",
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"2023-04-27 15:30:00-04:00 1694.0 168.308873 \n",
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"\n",
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"[15162 rows x 7 columns]"
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||
]
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||
},
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||
"execution_count": 5,
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||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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"source": [
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"df.loc[('AAPL',)]"
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]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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||
" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>open</th>\n",
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" <th>high</th>\n",
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" <th>low</th>\n",
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" <th>close</th>\n",
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" <th>volume</th>\n",
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" <th>trade_count</th>\n",
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" <th>vwap</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>symbol</th>\n",
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" <th>timestamp</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th rowspan=\"11\" valign=\"top\">AAPL</th>\n",
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" <th>2023-02-27 18:52:00-05:00</th>\n",
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" <td>148.0200</td>\n",
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" <td>148.02</td>\n",
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" <td>148.0200</td>\n",
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" <td>148.02</td>\n",
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" <td>112.0</td>\n",
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" <td>7.0</td>\n",
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" <td>148.020000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-27 18:56:00-05:00</th>\n",
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" <td>148.0200</td>\n",
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" <td>148.02</td>\n",
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" <td>148.0200</td>\n",
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" <td>148.02</td>\n",
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" <td>175.0</td>\n",
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" <td>10.0</td>\n",
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" <td>148.020000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-27 19:00:00-05:00</th>\n",
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" <td>148.0299</td>\n",
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" <td>148.03</td>\n",
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" <td>148.0299</td>\n",
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" <td>148.03</td>\n",
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" <td>1957.0</td>\n",
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" <td>10.0</td>\n",
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" <td>148.029993</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-27 19:06:00-05:00</th>\n",
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" <td>148.0600</td>\n",
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" <td>148.06</td>\n",
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" <td>148.0600</td>\n",
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" <td>148.06</td>\n",
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" <td>122.0</td>\n",
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" <td>7.0</td>\n",
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" <td>148.060000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-02-27 19:09:00-05:00</th>\n",
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" <td>148.0500</td>\n",
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" <td>148.10</td>\n",
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" <td>148.0500</td>\n",
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" <td>148.10</td>\n",
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" <td>1604.0</td>\n",
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" <td>33.0</td>\n",
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" <td>148.075109</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 19:54:00-04:00</th>\n",
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||
" <td>167.8000</td>\n",
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||
" <td>167.80</td>\n",
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" <td>167.8000</td>\n",
|
||
" <td>167.80</td>\n",
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" <td>534.0</td>\n",
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" <td>15.0</td>\n",
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" <td>167.800000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 19:56:00-04:00</th>\n",
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||
" <td>167.8800</td>\n",
|
||
" <td>167.88</td>\n",
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||
" <td>167.8800</td>\n",
|
||
" <td>167.88</td>\n",
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||
" <td>1386.0</td>\n",
|
||
" <td>28.0</td>\n",
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" <td>167.880000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 19:57:00-04:00</th>\n",
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" <td>167.8000</td>\n",
|
||
" <td>167.80</td>\n",
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||
" <td>167.8000</td>\n",
|
||
" <td>167.80</td>\n",
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||
" <td>912.0</td>\n",
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||
" <td>60.0</td>\n",
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" <td>167.800000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 19:58:00-04:00</th>\n",
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" <td>167.8000</td>\n",
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" <td>167.88</td>\n",
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||
" <td>167.8000</td>\n",
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||
" <td>167.88</td>\n",
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||
" <td>3311.0</td>\n",
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" <td>22.0</td>\n",
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" <td>167.877333</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2023-04-27 19:59:00-04:00</th>\n",
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" <td>167.9000</td>\n",
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||
" <td>167.94</td>\n",
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" <td>167.9000</td>\n",
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" <td>167.94</td>\n",
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" <td>1969.0</td>\n",
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" <td>64.0</td>\n",
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" <td>167.918150</td>\n",
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" </tr>\n",
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" </tbody>\n",
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||
"</table>\n",
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"<p>31217 rows × 7 columns</p>\n",
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||
"</div>"
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||
],
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"text/plain": [
|
||
" open high low close volume \\\n",
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"symbol timestamp \n",
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"AAPL 2023-02-27 18:52:00-05:00 148.0200 148.02 148.0200 148.02 112.0 \n",
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" 2023-02-27 18:56:00-05:00 148.0200 148.02 148.0200 148.02 175.0 \n",
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" 2023-02-27 19:00:00-05:00 148.0299 148.03 148.0299 148.03 1957.0 \n",
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" 2023-02-27 19:06:00-05:00 148.0600 148.06 148.0600 148.06 122.0 \n",
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" 2023-02-27 19:09:00-05:00 148.0500 148.10 148.0500 148.10 1604.0 \n",
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"... ... ... ... ... ... \n",
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" 2023-04-27 19:54:00-04:00 167.8000 167.80 167.8000 167.80 534.0 \n",
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" 2023-04-27 19:56:00-04:00 167.8800 167.88 167.8800 167.88 1386.0 \n",
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" 2023-04-27 19:57:00-04:00 167.8000 167.80 167.8000 167.80 912.0 \n",
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||
" 2023-04-27 19:58:00-04:00 167.8000 167.88 167.8000 167.88 3311.0 \n",
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" 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
|
||
}
|