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@snippsat
Created May 11, 2020 04:40
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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import pandas\n",
"\n",
"df = pandas.read_excel('Ticker List.xlsx')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"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>Ticker</th>\n",
" <th>Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>GC=F</td>\n",
" <td>Gold</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>SI=F</td>\n",
" <td>Silver</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>CL=F</td>\n",
" <td>Crude Oil</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>^GSPC</td>\n",
" <td>S&amp;P500</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>^RUT</td>\n",
" <td>Russel 2000 Index</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>ZN=F</td>\n",
" <td>10 Yr US T-Note futures</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>ZT=F</td>\n",
" <td>2 Yr US T-Note Futures</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>PL=F</td>\n",
" <td>Platinum</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>HG=F</td>\n",
" <td>Copper</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>DX=F</td>\n",
" <td>Dollar Index</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>^VIX</td>\n",
" <td>Volatility Index</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>S=F</td>\n",
" <td>Soybean</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>EEM</td>\n",
" <td>MSCI EM ETF</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>EURUSD=X</td>\n",
" <td>Euro USD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>^N100</td>\n",
" <td>Euronext100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>^IXIC</td>\n",
" <td>Nasdaq</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Ticker Description\n",
"0 GC=F Gold\n",
"1 SI=F Silver\n",
"2 CL=F Crude Oil\n",
"3 ^GSPC S&P500\n",
"4 ^RUT Russel 2000 Index\n",
"5 ZN=F 10 Yr US T-Note futures\n",
"6 ZT=F 2 Yr US T-Note Futures\n",
"7 PL=F Platinum\n",
"8 HG=F Copper\n",
"9 DX=F Dollar Index\n",
"10 ^VIX Volatility Index\n",
"11 S=F Soybean\n",
"12 EEM MSCI EM ETF\n",
"13 EURUSD=X Euro USD\n",
"14 ^N100 Euronext100\n",
"15 ^IXIC Nasdaq"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['GC=F',\n",
" 'SI=F',\n",
" 'CL=F',\n",
" '^GSPC',\n",
" '^RUT',\n",
" 'ZN=F',\n",
" 'ZT=F',\n",
" 'PL=F',\n",
" 'HG=F',\n",
" 'DX=F',\n",
" '^VIX',\n",
" 'S=F',\n",
" 'EEM',\n",
" 'EURUSD=X',\n",
" '^N100',\n",
" '^IXIC']"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['Ticker'].to_list()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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