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"source": [
"import panel as pn\n",
"import pandas as pd\n",
"import scipy.stats as stats\n",
"from sqlalchemy import create_engine\n",
"import hvplot.pandas\n",
"from datetime import datetime, timedelta\n",
"from script import processing\n",
"import numpy as np\n",
"pn.extension()\n",
"db_url = 'sqlite:///instance/local.db'\n",
"engine = create_engine(db_url)\n",
"import plotly.express as px\n",
"pn.extension('mathjax')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"p_eval_df = None\n",
"calculated_b_stock = None\n",
"calculated_p_stock = None\n",
"# load benchmark stock\n",
"with engine.connect() as connection:\n",
" calculated_b_stock = pd.read_sql('calculated_b_stock', con=connection)\n",
" calculated_p_stock = pd.read_sql('calculated_p_stock', con=connection)\n",
" p_eval_df = pd.read_sql('p_eval_result', con=connection)"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2023-06-29 00:00:00\n",
"interaction 0.012116\n",
"allocation 0.002211\n",
"selection -0.012116\n",
"active_return 0.002211\n",
"notional_return 0.002211\n",
"dtype: float64\n"
]
},
{
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" \n",
" \n",
" | 471 | \n",
" 2022-12-14 | \n",
" 0.151775 | \n",
" 0.000000 | \n",
" 0.002796 | \n",
" 0.000000 | \n",
" 1038.573137 | \n",
" 1043.453255 | \n",
" -4.880117 | \n",
" 0.327324 | \n",
" -0.000508 | \n",
" 0.225463 | \n",
" -40.422972 | \n",
" 1.000000 | \n",
"
\n",
" \n",
" | 472 | \n",
" 2022-12-15 | \n",
" 0.166816 | \n",
" 0.013638 | \n",
" 0.004505 | \n",
" 0.001707 | \n",
" 1052.737107 | \n",
" 1038.573137 | \n",
" 14.163970 | \n",
" 0.327122 | \n",
" 0.011931 | \n",
" 0.225384 | \n",
" -26.259002 | \n",
" 1.013638 | \n",
"
\n",
" \n",
" | 473 | \n",
" 2022-12-16 | \n",
" 0.156618 | \n",
" -0.009792 | \n",
" -0.000671 | \n",
" -0.005172 | \n",
" 1042.429190 | \n",
" 1052.737107 | \n",
" -10.307917 | \n",
" 0.326859 | \n",
" -0.004619 | \n",
" 0.225175 | \n",
" -36.566919 | \n",
" 1.003713 | \n",
"
\n",
" \n",
" | 474 | \n",
" 2022-12-19 | \n",
" 0.144766 | \n",
" -0.012217 | \n",
" -0.022720 | \n",
" -0.022046 | \n",
" 1029.693832 | \n",
" 1042.429190 | \n",
" -12.735359 | \n",
" 0.326642 | \n",
" 0.009829 | \n",
" 0.225043 | \n",
" -49.302277 | \n",
" 0.991450 | \n",
"
\n",
" \n",
" | 475 | \n",
" 2022-12-20 | \n",
" 0.140936 | \n",
" -0.003925 | \n",
" -0.032668 | \n",
" -0.009947 | \n",
" 1025.652205 | \n",
" 1029.693832 | \n",
" -4.041626 | \n",
" 0.326312 | \n",
" 0.006022 | \n",
" 0.224844 | \n",
" -53.343904 | \n",
" 0.987559 | \n",
"
\n",
" \n",
" | ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
" ... | \n",
"
\n",
" \n",
" | 596 | \n",
" 2023-06-21 | \n",
" 0.338226 | \n",
" -0.012860 | \n",
" -0.012265 | \n",
" -0.020746 | \n",
" 1213.343064 | \n",
" 1229.149762 | \n",
" -15.806698 | \n",
" 0.310372 | \n",
" 0.007886 | \n",
" 0.219003 | \n",
" 134.346955 | \n",
" 1.168279 | \n",
"
\n",
" \n",
" | 597 | \n",
" 2023-06-26 | \n",
" 0.327466 | \n",
" -0.009151 | \n",
" -0.028546 | \n",
" -0.016269 | \n",
" 1202.239760 | \n",
" 1213.343064 | \n",
" -11.103304 | \n",
" 0.310175 | \n",
" 0.007118 | \n",
" 0.218860 | \n",
" 123.243651 | \n",
" 1.157588 | \n",
"
\n",
" \n",
" | 598 | \n",
" 2023-06-27 | \n",
" 0.339179 | \n",
" 0.010630 | \n",
" -0.016308 | \n",
" 0.012234 | \n",
" 1215.019735 | \n",
" 1202.239760 | \n",
" 12.779975 | \n",
" 0.309985 | \n",
" -0.001604 | \n",
" 0.218682 | \n",
" 136.023626 | \n",
" 1.169893 | \n",
"
\n",
" \n",
" | 599 | \n",
" 2023-06-28 | \n",
" 0.335389 | \n",
" -0.002982 | \n",
" -0.016974 | \n",
" -0.000665 | \n",
" 1211.396987 | \n",
" 1215.019735 | \n",
" -3.622748 | \n",
" 0.309735 | \n",
" -0.002316 | \n",
" 0.218507 | \n",
" 132.400878 | \n",
" 1.166405 | \n",
"
\n",
" \n",
" | 600 | \n",
" 2023-06-29 | \n",
" 0.343213 | \n",
" 0.006552 | \n",
" -0.017097 | \n",
" -0.000125 | \n",
" 1219.334595 | \n",
" 1211.396987 | \n",
" 7.937608 | \n",
" 0.309501 | \n",
" 0.006678 | \n",
" 0.218361 | \n",
" 140.338486 | \n",
" 1.174048 | \n",
"
\n",
" \n",
"
\n",
"
130 rows × 13 columns
\n",
"