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‎WorkspaceCompanyTearSheet.ipynb

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"fig"
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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": 51,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Instrument</th>\n",
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" <th>TR.PRICEPCTCHG1M/100</th>\n",
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" <th>TR.PRICEPCTCHG3M/100</th>\n",
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" <th>TR.PRICEPCTCHG6M/100</th>\n",
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" <th>TR.PRICEPCTCHG1Y/100</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>0</th>\n",
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" <td>IBM.N</td>\n",
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" <td>-0.031369</td>\n",
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" <td>0.053331</td>\n",
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" <td>0.019288</td>\n",
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" <td>0.300914</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Instrument TR.PRICEPCTCHG1M/100 TR.PRICEPCTCHG3M/100 \\\n",
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"0 IBM.N -0.031369 0.053331 \n",
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"\n",
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" TR.PRICEPCTCHG6M/100 TR.PRICEPCTCHG1Y/100 \n",
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"0 0.019288 0.300914 "
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]
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},
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"execution_count": 51,
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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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"dfPriceActions = ld.get_data(RIC, 'TR.PricePctChg1M/100;TR.PricePctChg3M/100;TR.PricePctChg6M/100;TR.PricePctChg1Y/100')\n",
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"dfPriceActions"
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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": 52,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Instrument</th>\n",
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" <th>Calc Date</th>\n",
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" <th>Price Close</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>0</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2020-04-22</td>\n",
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" <td>113.960617</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2020-04-23</td>\n",
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" <td>115.909151</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2020-04-24</td>\n",
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" <td>119.128054</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2020-04-27</td>\n",
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" <td>120.274251</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2020-04-28</td>\n",
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" <td>120.608558</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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" </tr>\n",
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" <tr>\n",
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" <th>1251</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2025-04-14</td>\n",
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" <td>239.06</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1252</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2025-04-15</td>\n",
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" <td>240.7</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1253</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2025-04-16</td>\n",
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" <td>238.57</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1254</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2025-04-17</td>\n",
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" <td>238.81</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1255</th>\n",
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" <td>IBM.N</td>\n",
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" <td>2025-04-21</td>\n",
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" <td>236.22</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>1256 rows × 3 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" Instrument Calc Date Price Close\n",
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"0 IBM.N 2020-04-22 113.960617\n",
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"1 IBM.N 2020-04-23 115.909151\n",
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"2 IBM.N 2020-04-24 119.128054\n",
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"3 IBM.N 2020-04-27 120.274251\n",
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"4 IBM.N 2020-04-28 120.608558\n",
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"... ... ... ...\n",
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"1251 IBM.N 2025-04-14 239.06\n",
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"1252 IBM.N 2025-04-15 240.7\n",
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"1253 IBM.N 2025-04-16 238.57\n",
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"1254 IBM.N 2025-04-17 238.81\n",
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"1255 IBM.N 2025-04-21 236.22\n",
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"\n",
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"[1256 rows x 3 columns]"
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]
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},
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"execution_count": 52,
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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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"dfPricingIntermediate1 = ld.get_data(RIC, 'TR.PriceClose.calcdate;TR.PriceClose',{'sdate':'-5AY','edate':'0d','frq':'D'})\n",
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"dfPricingIntermediate1"
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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": null,

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