3195 lines
695 KiB
Plaintext
3195 lines
695 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "2e8cf88b-cecf-409f-9c2d-c3762b233f05",
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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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"Collecting openpyxl\n",
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" Downloading openpyxl-3.1.5-py2.py3-none-any.whl.metadata (2.5 kB)\n",
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"Collecting et-xmlfile (from openpyxl)\n",
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" Downloading et_xmlfile-2.0.0-py3-none-any.whl.metadata (2.7 kB)\n",
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"Downloading openpyxl-3.1.5-py2.py3-none-any.whl (250 kB)\n",
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"Downloading et_xmlfile-2.0.0-py3-none-any.whl (18 kB)\n",
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"Installing collected packages: et-xmlfile, openpyxl\n",
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2/2\u001b[0m [openpyxl]1/2\u001b[0m [openpyxl]\n",
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"\u001b[1A\u001b[2KSuccessfully installed et-xmlfile-2.0.0 openpyxl-3.1.5\n",
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.3\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
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]
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}
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],
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"source": [
|
||
"!pip install openpyxl"
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]
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},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": 40,
|
||
"id": "126c8a80-d9ad-4816-84f0-0c3d580f62c8",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import numpy as np\n",
|
||
"import matplotlib.pyplot as plt"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "ff2261fb-9516-4410-b42d-3acc8dc1a460",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os\n",
|
||
"import s3fs\n",
|
||
"os.environ[\"AWS_ACCESS_KEY_ID\"] = 'N1DBJCHI7YTK9AVMG6XT'\n",
|
||
"os.environ[\"AWS_SECRET_ACCESS_KEY\"] = 'SRCPMh8a1eQxX6Z09GeDxZoD55MBpnkJzyBctLII'\n",
|
||
"os.environ[\"AWS_SESSION_TOKEN\"] = 'eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.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.sLXOE8w930_dXU0yNWroaDvaTvcUUCONMcbgbKeMEduQebXQjOS7gEQxo-I7Q2oqLFb_dhg1zBlwx5VpNjyTMA'\n",
|
||
"os.environ[\"AWS_DEFAULT_REGION\"] = 'us-east-1'\n",
|
||
"fs = s3fs.S3FileSystem(\n",
|
||
" client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n",
|
||
" key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n",
|
||
" secret = os.environ[\"AWS_SECRET_ACCESS_KEY\"], \n",
|
||
" token = os.environ[\"AWS_SESSION_TOKEN\"])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3d36f3f0-bd40-4a83-96d1-b46d75f5a4c5",
|
||
"metadata": {},
|
||
"source": [
|
||
"# data exploration"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "eaf5c5a0-eb1c-4242-b893-7600e6def109",
|
||
"metadata": {},
|
||
"source": [
|
||
"Fonctions utiles"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "60e2035c-c2f0-4c51-97df-102e67ba96ee",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def plot_account(account_id, isin=None):\n",
|
||
" \"\"\"\n",
|
||
" Plots the stock (Quantity - AUM) evolution for a given Registrar Account.\n",
|
||
" Optionally, only for one ISIN.\n",
|
||
" \"\"\"\n",
|
||
"\n",
|
||
" df = merged.copy()\n",
|
||
"\n",
|
||
" # Filter by account\n",
|
||
" df = df[df[\"Registrar Account - ID\"] == account_id]\n",
|
||
"\n",
|
||
" if isin is not None:\n",
|
||
" df = df[df[\"Product - Isin\"] == isin]\n",
|
||
"\n",
|
||
" if df.empty:\n",
|
||
" print(f\"No data found for account {account_id}\")\n",
|
||
" return\n",
|
||
"\n",
|
||
" df_plot = df.groupby(\"Centralisation Date\")[\"Quantity - AUM\"].sum().reset_index()\n",
|
||
"\n",
|
||
" df_plot = df_plot.sort_values(\"Centralisation Date\")\n",
|
||
"\n",
|
||
" # Plot\n",
|
||
" plt.figure(figsize=(12, 4))\n",
|
||
" plt.plot(df_plot[\"Centralisation Date\"], df_plot[\"Quantity - AUM\"], marker='o')\n",
|
||
" plt.title(f\"Stock Evolution for Account {account_id}\", fontsize=14)\n",
|
||
" plt.xlabel(\"Date\")\n",
|
||
" plt.ylabel(\"Total AUM\")\n",
|
||
" plt.grid(True)\n",
|
||
" plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 41,
|
||
"id": "37e008b1-32d4-44be-9d23-1b90a5a26f89",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"================================================================================\n",
|
||
"DATASET : STOCKS\n",
|
||
"================================================================================\n",
|
||
"\n",
|
||
"Shape : (4880297, 18)\n",
|
||
"\n",
|
||
"Columns : ['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id', 'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country', 'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type', 'Product - Shareclass Currency', 'Product - Isin', 'Centralisation Date', 'Quantity - AUM', 'Value - AUM CCY', 'Value - AUM €']\n",
|
||
"\n",
|
||
"Dtypes :\n",
|
||
" Agreement - Code object\n",
|
||
"Company - Id object\n",
|
||
"Company - Ultimate Parent Id object\n",
|
||
"Registrar Account - ID object\n",
|
||
"Registrar Account - Region object\n",
|
||
"RegistrarAccount - Country object\n",
|
||
"Product - Asset Type object\n",
|
||
"Product - Strategy object\n",
|
||
"Product - Legal Status object\n",
|
||
"Product - Is Dedie ? object\n",
|
||
"Product - Fund object\n",
|
||
"Product - Shareclass Type object\n",
|
||
"Product - Shareclass Currency object\n",
|
||
"Product - Isin object\n",
|
||
"Centralisation Date object\n",
|
||
"Quantity - AUM float64\n",
|
||
"Value - AUM CCY float64\n",
|
||
"Value - AUM € float64\n",
|
||
"dtype: object\n",
|
||
"\n",
|
||
"Missing values (%) :\n",
|
||
" Product - Asset Type 6.471553\n",
|
||
"Company - Id 2.330801\n",
|
||
"Company - Ultimate Parent Id 2.330801\n",
|
||
"Product - Strategy 0.001537\n",
|
||
"Product - Shareclass Type 0.000717\n",
|
||
"Agreement - Code 0.000000\n",
|
||
"RegistrarAccount - Country 0.000000\n",
|
||
"Registrar Account - Region 0.000000\n",
|
||
"Product - Legal Status 0.000000\n",
|
||
"Registrar Account - ID 0.000000\n",
|
||
"Product - Is Dedie ? 0.000000\n",
|
||
"Product - Fund 0.000000\n",
|
||
"Product - Shareclass Currency 0.000000\n",
|
||
"Product - Isin 0.000000\n",
|
||
"Centralisation Date 0.000000\n",
|
||
"Quantity - AUM 0.000000\n",
|
||
"Value - AUM CCY 0.000000\n",
|
||
"Value - AUM € 0.000000\n",
|
||
"dtype: float64\n",
|
||
"\n",
|
||
"Sample rows:\n",
|
||
" Agreement - Code Company - Id Company - Ultimate Parent Id \\\n",
|
||
"0 3 166.0 166.0 \n",
|
||
"1 3 166.0 166.0 \n",
|
||
"2 3 166.0 166.0 \n",
|
||
"3 3 166.0 166.0 \n",
|
||
"4 3 166.0 166.0 \n",
|
||
"\n",
|
||
" Registrar Account - ID Registrar Account - Region \\\n",
|
||
"0 200000647 France \n",
|
||
"1 200000647 France \n",
|
||
"2 200000647 France \n",
|
||
"3 200000647 France \n",
|
||
"4 200000647 France \n",
|
||
"\n",
|
||
" RegistrarAccount - Country Product - Asset Type Product - Strategy \\\n",
|
||
"0 France Diversified Patrimoine \n",
|
||
"1 France Diversified Patrimoine \n",
|
||
"2 France Diversified Patrimoine \n",
|
||
"3 France Diversified Patrimoine \n",
|
||
"4 France Diversified Patrimoine \n",
|
||
"\n",
|
||
" Product - Legal Status Product - Is Dedie ? Product - Fund \\\n",
|
||
"0 FCP NO Carmignac Patrimoine \n",
|
||
"1 FCP NO Carmignac Patrimoine \n",
|
||
"2 FCP NO Carmignac Patrimoine \n",
|
||
"3 FCP NO Carmignac Patrimoine \n",
|
||
"4 FCP NO Carmignac Patrimoine \n",
|
||
"\n",
|
||
" Product - Shareclass Type Product - Shareclass Currency Product - Isin \\\n",
|
||
"0 A EUR FR0010135103 \n",
|
||
"1 A EUR FR0010135103 \n",
|
||
"2 A EUR FR0010135103 \n",
|
||
"3 A EUR FR0010135103 \n",
|
||
"4 A EUR FR0010135103 \n",
|
||
"\n",
|
||
" Centralisation Date Quantity - AUM Value - AUM CCY Value - AUM € \n",
|
||
"0 2015-03-31 35.368 24648.6666 24648.6666 \n",
|
||
"1 2015-11-30 35.368 22413.0553 22413.0553 \n",
|
||
"2 2015-12-31 35.368 22051.2406 22051.2406 \n",
|
||
"3 2016-03-31 35.368 21626.1173 21626.1173 \n",
|
||
"4 2016-11-30 35.368 22489.4502 22489.4502 \n",
|
||
"\n",
|
||
"Unique values per column:\n",
|
||
" Value - AUM € 1697923\n",
|
||
"Value - AUM CCY 1689620\n",
|
||
"Quantity - AUM 554404\n",
|
||
"Registrar Account - ID 15532\n",
|
||
"Agreement - Code 2521\n",
|
||
"Company - Id 1970\n",
|
||
"Company - Ultimate Parent Id 1392\n",
|
||
"Product - Isin 491\n",
|
||
"Centralisation Date 130\n",
|
||
"Product - Fund 74\n",
|
||
"Product - Strategy 52\n",
|
||
"RegistrarAccount - Country 39\n",
|
||
"Registrar Account - Region 15\n",
|
||
"Product - Shareclass Type 11\n",
|
||
"Product - Legal Status 6\n",
|
||
"Product - Shareclass Currency 6\n",
|
||
"Product - Asset Type 5\n",
|
||
"Product - Is Dedie ? 2\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"================================================================================\n",
|
||
"DATASET : FLOWS\n",
|
||
"================================================================================\n",
|
||
"\n",
|
||
"Shape : (2574461, 24)\n",
|
||
"\n",
|
||
"Columns : ['Agreement - Code', 'Company - Id', 'Company - Ultimate Parent Id', 'Registrar Account - ID', 'Registrar Account - Region', 'RegistrarAccount - Country', 'Product - Asset Type', 'Product - Strategy', 'Product - Legal Status', 'Product - Is Dedie ?', 'Product - Fund', 'Product - Shareclass Type', 'Product - Shareclass Currency', 'Product - Isin', 'Centralisation Date', 'Quantity - Subscription', 'Quantity - Redemption', 'Quantity - NetFlows', 'Value Ccy - Subscription', 'Value Ccy - Redemption', 'Value Ccy - NetFlows', 'Value € - Subscription', 'Value € - Redemption', 'Value € - NetFlows']\n",
|
||
"\n",
|
||
"Dtypes :\n",
|
||
" Agreement - Code object\n",
|
||
"Company - Id object\n",
|
||
"Company - Ultimate Parent Id object\n",
|
||
"Registrar Account - ID object\n",
|
||
"Registrar Account - Region object\n",
|
||
"RegistrarAccount - Country object\n",
|
||
"Product - Asset Type object\n",
|
||
"Product - Strategy object\n",
|
||
"Product - Legal Status object\n",
|
||
"Product - Is Dedie ? object\n",
|
||
"Product - Fund object\n",
|
||
"Product - Shareclass Type object\n",
|
||
"Product - Shareclass Currency object\n",
|
||
"Product - Isin object\n",
|
||
"Centralisation Date object\n",
|
||
"Quantity - Subscription float64\n",
|
||
"Quantity - Redemption float64\n",
|
||
"Quantity - NetFlows float64\n",
|
||
"Value Ccy - Subscription float64\n",
|
||
"Value Ccy - Redemption float64\n",
|
||
"Value Ccy - NetFlows float64\n",
|
||
"Value € - Subscription float64\n",
|
||
"Value € - Redemption float64\n",
|
||
"Value € - NetFlows float64\n",
|
||
"dtype: object\n",
|
||
"\n",
|
||
"Missing values (%) :\n",
|
||
" Product - Asset Type 0.079589\n",
|
||
"Company - Id 0.059818\n",
|
||
"Company - Ultimate Parent Id 0.059818\n",
|
||
"Product - Strategy 0.000233\n",
|
||
"Product - Shareclass Type 0.000078\n",
|
||
"Registrar Account - ID 0.000000\n",
|
||
"RegistrarAccount - Country 0.000000\n",
|
||
"Agreement - Code 0.000000\n",
|
||
"Registrar Account - Region 0.000000\n",
|
||
"Product - Legal Status 0.000000\n",
|
||
"Product - Is Dedie ? 0.000000\n",
|
||
"Product - Fund 0.000000\n",
|
||
"Product - Shareclass Currency 0.000000\n",
|
||
"Product - Isin 0.000000\n",
|
||
"Centralisation Date 0.000000\n",
|
||
"Quantity - Subscription 0.000000\n",
|
||
"Quantity - Redemption 0.000000\n",
|
||
"Quantity - NetFlows 0.000000\n",
|
||
"Value Ccy - Subscription 0.000000\n",
|
||
"Value Ccy - Redemption 0.000000\n",
|
||
"Value Ccy - NetFlows 0.000000\n",
|
||
"Value € - Subscription 0.000000\n",
|
||
"Value € - Redemption 0.000000\n",
|
||
"Value € - NetFlows 0.000000\n",
|
||
"dtype: float64\n",
|
||
"\n",
|
||
"Sample rows:\n",
|
||
" Agreement - Code Company - Id Company - Ultimate Parent Id \\\n",
|
||
"0 003 166 166 \n",
|
||
"1 003 166 166 \n",
|
||
"2 003 166 166 \n",
|
||
"3 003 166 166 \n",
|
||
"4 003 166 166 \n",
|
||
"\n",
|
||
" Registrar Account - ID Registrar Account - Region \\\n",
|
||
"0 200127202 France \n",
|
||
"1 406533 France \n",
|
||
"2 406533 France \n",
|
||
"3 406533 France \n",
|
||
"4 406533 France \n",
|
||
"\n",
|
||
" RegistrarAccount - Country Product - Asset Type Product - Strategy \\\n",
|
||
"0 France Equity Investissement \n",
|
||
"1 France Diversified Patrimoine \n",
|
||
"2 France Equity Investissement \n",
|
||
"3 France Equity Investissement \n",
|
||
"4 France Equity Investissement \n",
|
||
"\n",
|
||
" Product - Legal Status Product - Is Dedie ? ... Centralisation Date \\\n",
|
||
"0 SICAV NO ... 2020-11-05 \n",
|
||
"1 FCP NO ... 2015-03-09 \n",
|
||
"2 FCP NO ... 2016-10-26 \n",
|
||
"3 FCP NO ... 2018-10-18 \n",
|
||
"4 FCP NO ... 2019-04-08 \n",
|
||
"\n",
|
||
" Quantity - Subscription Quantity - Redemption Quantity - NetFlows \\\n",
|
||
"0 1636.00 0.000 1636.000 \n",
|
||
"1 144.69 0.000 144.690 \n",
|
||
"2 0.00 -8.321 -8.321 \n",
|
||
"3 0.00 -22.083 -22.083 \n",
|
||
"4 0.00 -465.992 -465.992 \n",
|
||
"\n",
|
||
" Value Ccy - Subscription Value Ccy - Redemption Value Ccy - NetFlows \\\n",
|
||
"0 280983.00 0.00 280983.00 \n",
|
||
"1 99985.13 0.00 99985.13 \n",
|
||
"2 0.00 -9384.76 -9384.76 \n",
|
||
"3 0.00 -25227.40 -25227.40 \n",
|
||
"4 0.00 -563775.76 -563775.76 \n",
|
||
"\n",
|
||
" Value € - Subscription Value € - Redemption Value € - NetFlows \n",
|
||
"0 280983.00 0.00 280983.00 \n",
|
||
"1 99985.13 0.00 99985.13 \n",
|
||
"2 0.00 -9384.76 -9384.76 \n",
|
||
"3 0.00 -25227.40 -25227.40 \n",
|
||
"4 0.00 -563775.76 -563775.76 \n",
|
||
"\n",
|
||
"[5 rows x 24 columns]\n",
|
||
"\n",
|
||
"Unique values per column:\n",
|
||
" Value € - NetFlows 2018916\n",
|
||
"Value Ccy - NetFlows 1972319\n",
|
||
"Value € - Redemption 1323531\n",
|
||
"Value Ccy - Redemption 1296468\n",
|
||
"Value € - Subscription 955890\n",
|
||
"Value Ccy - Subscription 926633\n",
|
||
"Quantity - NetFlows 667586\n",
|
||
"Quantity - Redemption 374378\n",
|
||
"Quantity - Subscription 359661\n",
|
||
"Registrar Account - ID 9805\n",
|
||
"Centralisation Date 2780\n",
|
||
"Company - Id 1929\n",
|
||
"Agreement - Code 1626\n",
|
||
"Company - Ultimate Parent Id 1283\n",
|
||
"Product - Isin 474\n",
|
||
"Product - Fund 70\n",
|
||
"Product - Strategy 49\n",
|
||
"RegistrarAccount - Country 34\n",
|
||
"Registrar Account - Region 15\n",
|
||
"Product - Shareclass Type 10\n",
|
||
"Product - Shareclass Currency 6\n",
|
||
"Product - Legal Status 6\n",
|
||
"Product - Asset Type 5\n",
|
||
"Product - Is Dedie ? 2\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"================================================================================\n",
|
||
"DATASET : NAV/PRICES\n",
|
||
"================================================================================\n",
|
||
"\n",
|
||
"Shape : (30333, 13)\n",
|
||
"\n",
|
||
"Columns : ['NavDate', 'LegalForm', 'Cod', 'PortfolioName', 'PTFCurrency', 'PortfolioAum_Eur', 'ShareClassIsin', 'ShareClassName', 'ShareClassCurrency', 'ShareClassPrice', 'NumberOfShares', 'ShareClassAumLocalCur', 'ShareClassAum_EUR']\n",
|
||
"\n",
|
||
"Dtypes :\n",
|
||
" 0\n",
|
||
"NavDate object\n",
|
||
"LegalForm object\n",
|
||
"Cod object\n",
|
||
"PortfolioName object\n",
|
||
"PTFCurrency object\n",
|
||
"PortfolioAum_Eur object\n",
|
||
"ShareClassIsin object\n",
|
||
"ShareClassName object\n",
|
||
"ShareClassCurrency object\n",
|
||
"ShareClassPrice object\n",
|
||
"NumberOfShares object\n",
|
||
"ShareClassAumLocalCur object\n",
|
||
"ShareClassAum_EUR object\n",
|
||
"dtype: object\n",
|
||
"\n",
|
||
"Missing values (%) :\n",
|
||
" 0\n",
|
||
"NavDate 0.0\n",
|
||
"LegalForm 0.0\n",
|
||
"Cod 0.0\n",
|
||
"PortfolioName 0.0\n",
|
||
"PTFCurrency 0.0\n",
|
||
"PortfolioAum_Eur 0.0\n",
|
||
"ShareClassIsin 0.0\n",
|
||
"ShareClassName 0.0\n",
|
||
"ShareClassCurrency 0.0\n",
|
||
"ShareClassPrice 0.0\n",
|
||
"NumberOfShares 0.0\n",
|
||
"ShareClassAumLocalCur 0.0\n",
|
||
"ShareClassAum_EUR 0.0\n",
|
||
"dtype: float64\n",
|
||
"\n",
|
||
"Sample rows:\n",
|
||
" 0 NavDate LegalForm Cod PortfolioName \\\n",
|
||
"0 31/12/2009 SICAV CC Carmignac Portfolio Climate Transition \n",
|
||
"1 31/12/2009 SICAV CFB Carmignac Portfolio Flexible Bond \n",
|
||
"2 31/12/2009 FCP CCT Carmignac Court Terme \n",
|
||
"3 31/12/2009 FCP CE Carmignac Emergents \n",
|
||
"4 31/12/2009 SICAV CAD Carmignac Portfolio Asia Discovery \n",
|
||
"\n",
|
||
"0 PTFCurrency PortfolioAum_Eur ShareClassIsin ShareClassName \\\n",
|
||
"0 EUR 941059600 LU0164455502 A EUR ACC \n",
|
||
"1 EUR 57063272.31 LU0336084032 A EUR ACC \n",
|
||
"2 EUR 788828666.5 FR0010149161 A EUR ACC \n",
|
||
"3 EUR 1508087050 FR0010149302 A EUR ACC \n",
|
||
"4 EUR 149490224.2 LU0336083810 A EUR ACC \n",
|
||
"\n",
|
||
"0 ShareClassCurrency ShareClassPrice NumberOfShares ShareClassAumLocalCur \\\n",
|
||
"0 EUR 287.21 3276555.83 941059600 \n",
|
||
"1 EUR 1016.833 56118.62745 57063272.31 \n",
|
||
"2 EUR 3687.84 213899.9161 788828666.5 \n",
|
||
"3 EUR 559.82 2693878.478 1508087050 \n",
|
||
"4 EUR 884.9 168934.5962 149490224.2 \n",
|
||
"\n",
|
||
"0 ShareClassAum_EUR \n",
|
||
"0 941059600 \n",
|
||
"1 57063272.31 \n",
|
||
"2 788828666.5 \n",
|
||
"3 1508087050 \n",
|
||
"4 149490224.2 \n",
|
||
"\n",
|
||
"Unique values per column:\n",
|
||
" 0\n",
|
||
"ShareClassAum_EUR 30211\n",
|
||
"ShareClassAumLocalCur 30032\n",
|
||
"NumberOfShares 28910\n",
|
||
"ShareClassPrice 14747\n",
|
||
"PortfolioAum_Eur 5505\n",
|
||
"ShareClassIsin 416\n",
|
||
"NavDate 210\n",
|
||
"ShareClassName 90\n",
|
||
"Cod 55\n",
|
||
"PortfolioName 55\n",
|
||
"LegalForm 6\n",
|
||
"ShareClassCurrency 6\n",
|
||
"PTFCurrency 2\n",
|
||
"dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2. BASIC INSPECTION\n",
|
||
"\n",
|
||
"def quick_info(df, name):\n",
|
||
" print(\"\\n\" + \"=\"*80)\n",
|
||
" print(f\"DATASET : {name}\")\n",
|
||
" print(\"=\"*80)\n",
|
||
" print(\"\\nShape :\", df.shape)\n",
|
||
" print(\"\\nColumns :\", df.columns.tolist())\n",
|
||
" print(\"\\nDtypes :\\n\", df.dtypes)\n",
|
||
" print(\"\\nMissing values (%) :\\n\", df.isna().mean().sort_values(ascending=False)*100)\n",
|
||
" print(\"\\nSample rows:\\n\", df.head(5))\n",
|
||
" print(\"\\nUnique values per column:\\n\", df.nunique().sort_values(ascending=False))\n",
|
||
"\n",
|
||
"quick_info(stocks, \"STOCKS\")\n",
|
||
"quick_info(flows, \"FLOWS\")\n",
|
||
"quick_info(nav, \"NAV/PRICES\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 39,
|
||
"id": "e67a99ea-ddf4-4627-8f48-ec183c671acb",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/tmp/ipykernel_1042/1864850766.py:2: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
||
" flows = pd.read_csv(f, sep=\";\")\n",
|
||
"/tmp/ipykernel_1042/1864850766.py:5: DtypeWarning: Columns (0,1,2,3) have mixed types. Specify dtype option on import or set low_memory=False.\n",
|
||
" stocks = pd.read_csv(f, sep=\";\")\n"
|
||
]
|
||
},
|
||
{
|
||
"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>NavDate</th>\n",
|
||
" <th>LegalForm</th>\n",
|
||
" <th>Cod</th>\n",
|
||
" <th>PortfolioName</th>\n",
|
||
" <th>PTFCurrency</th>\n",
|
||
" <th>PortfolioAum_Eur</th>\n",
|
||
" <th>ShareClassIsin</th>\n",
|
||
" <th>ShareClassName</th>\n",
|
||
" <th>ShareClassCurrency</th>\n",
|
||
" <th>ShareClassPrice</th>\n",
|
||
" <th>NumberOfShares</th>\n",
|
||
" <th>ShareClassAumLocalCur</th>\n",
|
||
" <th>ShareClassAum_EUR</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>31/12/2009</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CC</td>\n",
|
||
" <td>Carmignac Portfolio Climate Transition</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>941059600</td>\n",
|
||
" <td>LU0164455502</td>\n",
|
||
" <td>A EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>287.21</td>\n",
|
||
" <td>3276555.83</td>\n",
|
||
" <td>941059600</td>\n",
|
||
" <td>941059600</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>31/12/2009</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CFB</td>\n",
|
||
" <td>Carmignac Portfolio Flexible Bond</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>57063272.31</td>\n",
|
||
" <td>LU0336084032</td>\n",
|
||
" <td>A EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>1016.833</td>\n",
|
||
" <td>56118.62745</td>\n",
|
||
" <td>57063272.31</td>\n",
|
||
" <td>57063272.31</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>31/12/2009</td>\n",
|
||
" <td>FCP</td>\n",
|
||
" <td>CCT</td>\n",
|
||
" <td>Carmignac Court Terme</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>788828666.5</td>\n",
|
||
" <td>FR0010149161</td>\n",
|
||
" <td>A EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>3687.84</td>\n",
|
||
" <td>213899.9161</td>\n",
|
||
" <td>788828666.5</td>\n",
|
||
" <td>788828666.5</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>31/12/2009</td>\n",
|
||
" <td>FCP</td>\n",
|
||
" <td>CE</td>\n",
|
||
" <td>Carmignac Emergents</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>1508087050</td>\n",
|
||
" <td>FR0010149302</td>\n",
|
||
" <td>A EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>559.82</td>\n",
|
||
" <td>2693878.478</td>\n",
|
||
" <td>1508087050</td>\n",
|
||
" <td>1508087050</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>31/12/2009</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CAD</td>\n",
|
||
" <td>Carmignac Portfolio Asia Discovery</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>149490224.2</td>\n",
|
||
" <td>LU0336083810</td>\n",
|
||
" <td>A EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>884.9</td>\n",
|
||
" <td>168934.5962</td>\n",
|
||
" <td>149490224.2</td>\n",
|
||
" <td>149490224.2</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",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>30328</th>\n",
|
||
" <td>18/11/2025</td>\n",
|
||
" <td>FCPE</td>\n",
|
||
" <td>CEAM</td>\n",
|
||
" <td>Carmignac Epargne Actions Monde ISR</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>8758111.45</td>\n",
|
||
" <td>FR001400XC60</td>\n",
|
||
" <td>FW EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>97.94</td>\n",
|
||
" <td>89423.2331</td>\n",
|
||
" <td>8758111.45</td>\n",
|
||
" <td>8758111.45</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>30329</th>\n",
|
||
" <td>18/11/2025</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CAD</td>\n",
|
||
" <td>Carmignac Portfolio Asia Discovery</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>112323819.3</td>\n",
|
||
" <td>LU0336083810</td>\n",
|
||
" <td>A EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>2206.68</td>\n",
|
||
" <td>29628.26787</td>\n",
|
||
" <td>65380106.15</td>\n",
|
||
" <td>65380106.15</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>30330</th>\n",
|
||
" <td>18/11/2025</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CAD</td>\n",
|
||
" <td>Carmignac Portfolio Asia Discovery</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>112323819.3</td>\n",
|
||
" <td>LU0992629740</td>\n",
|
||
" <td>F EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>226.23</td>\n",
|
||
" <td>64439.56235</td>\n",
|
||
" <td>14578162.19</td>\n",
|
||
" <td>14578162.19</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>30331</th>\n",
|
||
" <td>18/11/2025</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CAD</td>\n",
|
||
" <td>Carmignac Portfolio Asia Discovery</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>112323819.3</td>\n",
|
||
" <td>LU1623762256</td>\n",
|
||
" <td>FW EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>165.7</td>\n",
|
||
" <td>4299.866445</td>\n",
|
||
" <td>712487.87</td>\n",
|
||
" <td>712487.87</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>30332</th>\n",
|
||
" <td>18/11/2025</td>\n",
|
||
" <td>SICAV</td>\n",
|
||
" <td>CAD</td>\n",
|
||
" <td>Carmignac Portfolio Asia Discovery</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>112323819.3</td>\n",
|
||
" <td>LU2420651155</td>\n",
|
||
" <td>I EUR ACC</td>\n",
|
||
" <td>EUR</td>\n",
|
||
" <td>119.22</td>\n",
|
||
" <td>159415.2581</td>\n",
|
||
" <td>19005487.07</td>\n",
|
||
" <td>19005487.07</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>30333 rows × 13 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
"0 NavDate LegalForm Cod PortfolioName \\\n",
|
||
"0 31/12/2009 SICAV CC Carmignac Portfolio Climate Transition \n",
|
||
"1 31/12/2009 SICAV CFB Carmignac Portfolio Flexible Bond \n",
|
||
"2 31/12/2009 FCP CCT Carmignac Court Terme \n",
|
||
"3 31/12/2009 FCP CE Carmignac Emergents \n",
|
||
"4 31/12/2009 SICAV CAD Carmignac Portfolio Asia Discovery \n",
|
||
"... ... ... ... ... \n",
|
||
"30328 18/11/2025 FCPE CEAM Carmignac Epargne Actions Monde ISR \n",
|
||
"30329 18/11/2025 SICAV CAD Carmignac Portfolio Asia Discovery \n",
|
||
"30330 18/11/2025 SICAV CAD Carmignac Portfolio Asia Discovery \n",
|
||
"30331 18/11/2025 SICAV CAD Carmignac Portfolio Asia Discovery \n",
|
||
"30332 18/11/2025 SICAV CAD Carmignac Portfolio Asia Discovery \n",
|
||
"\n",
|
||
"0 PTFCurrency PortfolioAum_Eur ShareClassIsin ShareClassName \\\n",
|
||
"0 EUR 941059600 LU0164455502 A EUR ACC \n",
|
||
"1 EUR 57063272.31 LU0336084032 A EUR ACC \n",
|
||
"2 EUR 788828666.5 FR0010149161 A EUR ACC \n",
|
||
"3 EUR 1508087050 FR0010149302 A EUR ACC \n",
|
||
"4 EUR 149490224.2 LU0336083810 A EUR ACC \n",
|
||
"... ... ... ... ... \n",
|
||
"30328 EUR 8758111.45 FR001400XC60 FW EUR ACC \n",
|
||
"30329 EUR 112323819.3 LU0336083810 A EUR ACC \n",
|
||
"30330 EUR 112323819.3 LU0992629740 F EUR ACC \n",
|
||
"30331 EUR 112323819.3 LU1623762256 FW EUR ACC \n",
|
||
"30332 EUR 112323819.3 LU2420651155 I EUR ACC \n",
|
||
"\n",
|
||
"0 ShareClassCurrency ShareClassPrice NumberOfShares ShareClassAumLocalCur \\\n",
|
||
"0 EUR 287.21 3276555.83 941059600 \n",
|
||
"1 EUR 1016.833 56118.62745 57063272.31 \n",
|
||
"2 EUR 3687.84 213899.9161 788828666.5 \n",
|
||
"3 EUR 559.82 2693878.478 1508087050 \n",
|
||
"4 EUR 884.9 168934.5962 149490224.2 \n",
|
||
"... ... ... ... ... \n",
|
||
"30328 EUR 97.94 89423.2331 8758111.45 \n",
|
||
"30329 EUR 2206.68 29628.26787 65380106.15 \n",
|
||
"30330 EUR 226.23 64439.56235 14578162.19 \n",
|
||
"30331 EUR 165.7 4299.866445 712487.87 \n",
|
||
"30332 EUR 119.22 159415.2581 19005487.07 \n",
|
||
"\n",
|
||
"0 ShareClassAum_EUR \n",
|
||
"0 941059600 \n",
|
||
"1 57063272.31 \n",
|
||
"2 788828666.5 \n",
|
||
"3 1508087050 \n",
|
||
"4 149490224.2 \n",
|
||
"... ... \n",
|
||
"30328 8758111.45 \n",
|
||
"30329 65380106.15 \n",
|
||
"30330 14578162.19 \n",
|
||
"30331 712487.87 \n",
|
||
"30332 19005487.07 \n",
|
||
"\n",
|
||
"[30333 rows x 13 columns]"
|
||
]
|
||
},
|
||
"execution_count": 39,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"with fs.open('projet-bdc-data//carmignac/Flows ENSAE V2 -20251105.csv', 'rb') as f:\n",
|
||
" flows = pd.read_csv(f, sep=\";\")\n",
|
||
"\n",
|
||
"with fs.open('projet-bdc-data//carmignac/AUM ENSAE V2 -20251105.csv', 'rb') as f:\n",
|
||
" stocks = pd.read_csv(f, sep=\";\")\n",
|
||
"\n",
|
||
"with fs.open('projet-bdc-data/carmignac/Monthly AUM and NAV since 2010.xlsx', 'rb') as f:\n",
|
||
" nav_raw = pd.read_excel(f, header=None, engine=\"openpyxl\")\n",
|
||
"nav = nav_raw[0].str.split(\",\", expand=True)\n",
|
||
"nav.columns = nav.iloc[0]\n",
|
||
"nav = nav[1:].reset_index(drop=True)\n",
|
||
"\n",
|
||
"nav"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 42,
|
||
"id": "9bc92c9f-216c-475e-bfb8-edc1a4e839f6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Date conversion done.\n",
|
||
"NAV numeric conversion done.\n",
|
||
"String normalization done.\n",
|
||
"\n",
|
||
"ISIN missing in FLOWS but present in STOCKS : 17\n",
|
||
"\n",
|
||
"ISIN missing in STOCKS but present in FLOWS : 0\n",
|
||
"\n",
|
||
"ISIN missing in NAV but present in FLOWS : 67\n",
|
||
"\n",
|
||
"ISIN missing in NAV but present in STOCKS : 76\n",
|
||
"\n",
|
||
"Accounts in STOCKS but NEVER in FLOWS : 5777\n",
|
||
"\n",
|
||
"Accounts in FLOWS but NEVER in STOCKS : 118\n",
|
||
"\n",
|
||
"CLIENT BEHAVIOR (first 5 rows):\n",
|
||
" Registrar Account - ID n_days n_transactions total_netflows mean_flow \\\n",
|
||
"0 100000028 3 3 -109.238 -36.412667 \n",
|
||
"1 100000042 1 1 -660.115 -660.115000 \n",
|
||
"2 100000065 1 1 -174.646 -174.646000 \n",
|
||
"3 100000069 65 73 -7479.755 -102.462397 \n",
|
||
"4 100000073 1 1 -133.402 -133.402000 \n",
|
||
"\n",
|
||
" std_flow total_subscription total_redemption churn_ratio \n",
|
||
"0 49.280511 0.000 -109.238 -1.092380e+11 \n",
|
||
"1 NaN 0.000 -660.115 -6.601150e+11 \n",
|
||
"2 NaN 0.000 -174.646 -1.746460e+11 \n",
|
||
"3 2168.971331 33320.402 -40800.157 -1.224480e+00 \n",
|
||
"4 NaN 0.000 -133.402 -1.334020e+11 \n",
|
||
"\n",
|
||
"FUND BEHAVIOR (first 5 rows):\n",
|
||
" Product - Isin n_accounts n_days total_netflows vol_flows\n",
|
||
"0 FR0010135103 2690 2723 -2.571327e+07 2622.609244\n",
|
||
"1 FR0010147603 733 2719 -2.562187e+06 1206.248205\n",
|
||
"2 FR0010148981 1841 2722 -3.609440e+06 1051.069183\n",
|
||
"3 FR0010148999 454 2306 -7.130297e+05 1265.364138\n",
|
||
"4 FR0010149112 934 2000 -9.438901e+05 1834.961721\n",
|
||
"\n",
|
||
"EXPLORATION STEP 2 COMPLETED.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. CLEAN DATES (formats différents)\n",
|
||
"\n",
|
||
"stocks[\"Centralisation Date\"] = pd.to_datetime(stocks[\"Centralisation Date\"], errors=\"coerce\")\n",
|
||
"flows[\"Centralisation Date\"] = pd.to_datetime(flows[\"Centralisation Date\"], errors=\"coerce\")\n",
|
||
"nav[\"NavDate\"] = pd.to_datetime(nav[\"NavDate\"], format=\"%d/%m/%Y\", errors=\"coerce\")\n",
|
||
"\n",
|
||
"print(\"Date conversion done.\")\n",
|
||
"\n",
|
||
"# 2. CLEAN NUMERIC COLUMNS FOR NAV FILE\n",
|
||
"\n",
|
||
"num_cols = [\"PortfolioAum_Eur\",\"ShareClassPrice\",\"NumberOfShares\",\n",
|
||
" \"ShareClassAumLocalCur\",\"ShareClassAum_EUR\"]\n",
|
||
"\n",
|
||
"for col in num_cols:\n",
|
||
" nav[col] = (\n",
|
||
" nav[col]\n",
|
||
" .astype(str)\n",
|
||
" .str.replace(\",\", \".\", regex=False)\n",
|
||
" .str.replace(\" \", \"\")\n",
|
||
" .astype(float)\n",
|
||
" )\n",
|
||
"\n",
|
||
"print(\"NAV numeric conversion done.\")\n",
|
||
"\n",
|
||
"# 3. STANDARDIZE STRINGS FOR JOIN KEYS\n",
|
||
"\n",
|
||
"def norm(df):\n",
|
||
" for col in df.columns:\n",
|
||
" if df[col].dtype == \"object\":\n",
|
||
" df[col] = df[col].astype(str).str.strip().str.upper()\n",
|
||
" return df\n",
|
||
"\n",
|
||
"stocks = norm(stocks)\n",
|
||
"flows = norm(flows)\n",
|
||
"nav = norm(nav)\n",
|
||
"\n",
|
||
"print(\"String normalization done.\")\n",
|
||
"\n",
|
||
"\n",
|
||
"# 4. ANALYSE RELATIONS ACROSS FILES\n",
|
||
"\n",
|
||
"# Unique sets\n",
|
||
"isin_stocks = set(stocks[\"Product - Isin\"].unique())\n",
|
||
"isin_flows = set(flows[\"Product - Isin\"].unique())\n",
|
||
"isin_nav = set(nav[\"ShareClassIsin\"].unique())\n",
|
||
"\n",
|
||
"print(\"\\nISIN missing in FLOWS but present in STOCKS :\", len(isin_stocks - isin_flows))\n",
|
||
"print(\"\\nISIN missing in STOCKS but present in FLOWS :\", len(isin_flows - isin_stocks))\n",
|
||
"print(\"\\nISIN missing in NAV but present in FLOWS :\", len(isin_flows - isin_nav))\n",
|
||
"print(\"\\nISIN missing in NAV but present in STOCKS :\", len(isin_stocks - isin_nav))\n",
|
||
"\n",
|
||
"\n",
|
||
"# 5. CLIENTS: STOCKS VS FLOWS\n",
|
||
"\n",
|
||
"acc_stocks = set(stocks[\"Registrar Account - ID\"].unique())\n",
|
||
"acc_flows = set(flows[\"Registrar Account - ID\"].unique())\n",
|
||
"\n",
|
||
"print(\"\\nAccounts in STOCKS but NEVER in FLOWS :\", len(acc_stocks - acc_flows))\n",
|
||
"print(\"\\nAccounts in FLOWS but NEVER in STOCKS :\", len(acc_flows - acc_stocks))\n",
|
||
"\n",
|
||
"\n",
|
||
"# 6. CLIENT ACTIVITY METRICS (DETAILED)\n",
|
||
"\n",
|
||
"client_behavior = flows.groupby(\"Registrar Account - ID\").agg(\n",
|
||
" n_days=(\"Centralisation Date\", lambda x: x.nunique()),\n",
|
||
" n_transactions=(\"Quantity - NetFlows\", \"count\"),\n",
|
||
" total_netflows=(\"Quantity - NetFlows\", \"sum\"),\n",
|
||
" mean_flow=(\"Quantity - NetFlows\", \"mean\"),\n",
|
||
" std_flow=(\"Quantity - NetFlows\", \"std\"),\n",
|
||
" total_subscription=(\"Quantity - Subscription\", \"sum\"),\n",
|
||
" total_redemption=(\"Quantity - Redemption\", \"sum\")\n",
|
||
").reset_index()\n",
|
||
"\n",
|
||
"# Add churn metric\n",
|
||
"client_behavior[\"churn_ratio\"] = (\n",
|
||
" client_behavior[\"total_redemption\"] /\n",
|
||
" (client_behavior[\"total_subscription\"] + 1e-9)\n",
|
||
")\n",
|
||
"\n",
|
||
"print(\"\\nCLIENT BEHAVIOR (first 5 rows):\\n\", client_behavior.head())\n",
|
||
"\n",
|
||
"\n",
|
||
"# 7. FUNDS ACTIVITY METRICS\n",
|
||
"\n",
|
||
"fund_behavior = flows.groupby(\"Product - Isin\").agg(\n",
|
||
" n_accounts=(\"Registrar Account - ID\", \"nunique\"),\n",
|
||
" n_days=(\"Centralisation Date\", lambda x: x.nunique()),\n",
|
||
" total_netflows=(\"Quantity - NetFlows\", \"sum\"),\n",
|
||
" vol_flows=(\"Quantity - NetFlows\", \"std\")\n",
|
||
").reset_index()\n",
|
||
"\n",
|
||
"print(\"\\nFUND BEHAVIOR (first 5 rows):\\n\", fund_behavior.head())\n",
|
||
"\n",
|
||
"\n",
|
||
"# 8. SAVE INTERMEDIATE\n",
|
||
"\n",
|
||
"client_behavior.to_csv(\"client_behavior.csv\", index=False)\n",
|
||
"fund_behavior.to_csv(\"fund_behavior.csv\", index=False)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 44,
|
||
"id": "afb51598-3a7b-41f2-8d25-5b4b8bfb1c8a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"FULL usable ISIN : 407\n",
|
||
"Stocks only ISIN : 17\n",
|
||
"Flows only ISIN : 0\n",
|
||
"Missing NAV : 76\n",
|
||
"All ISIN groups saved into 4 separate files.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"valid_full = isin_stocks & isin_flows & isin_nav\n",
|
||
"stocks_only = isin_stocks - isin_flows\n",
|
||
"flows_only = isin_flows - isin_stocks\n",
|
||
"missing_nav = (isin_stocks | isin_flows) - isin_nav\n",
|
||
"\n",
|
||
"print(\"FULL usable ISIN :\", len(valid_full))\n",
|
||
"print(\"Stocks only ISIN :\", len(stocks_only))\n",
|
||
"print(\"Flows only ISIN :\", len(flows_only))\n",
|
||
"print(\"Missing NAV :\", len(missing_nav))\n",
|
||
"\n",
|
||
"pd.DataFrame({\"isin\": list(valid_full)}).to_csv(\"isin_full.csv\", index=False)\n",
|
||
"pd.DataFrame({\"isin\": list(stocks_only)}).to_csv(\"isin_stocks_only.csv\", index=False)\n",
|
||
"pd.DataFrame({\"isin\": list(flows_only)}).to_csv(\"isin_flows_only.csv\", index=False)\n",
|
||
"pd.DataFrame({\"isin\": list(missing_nav)}).to_csv(\"isin_missing_nav.csv\", index=False)\n",
|
||
"\n",
|
||
"print(\"All ISIN groups saved into 4 separate files.\")\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 45,
|
||
"id": "61e0c71a-a1c6-4ed8-ba15-b7a9badc4d4a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Registrar Account - ID n_days n_transactions total_netflows mean_flow \\\n",
|
||
"0 100000028 3 3 -109.238 -36.412667 \n",
|
||
"1 100000042 1 1 -660.115 -660.115000 \n",
|
||
"2 100000065 1 1 -174.646 -174.646000 \n",
|
||
"3 100000069 65 73 -7479.755 -102.462397 \n",
|
||
"4 100000073 1 1 -133.402 -133.402000 \n",
|
||
"\n",
|
||
" std_flow total_subscription total_redemption churn_ratio \\\n",
|
||
"0 49.280511 0.000 -109.238 -1.092380e+08 \n",
|
||
"1 NaN 0.000 -660.115 -6.601150e+08 \n",
|
||
"2 NaN 0.000 -174.646 -1.746460e+08 \n",
|
||
"3 2168.971331 33320.402 -40800.157 -1.224480e+00 \n",
|
||
"4 NaN 0.000 -133.402 -1.334020e+08 \n",
|
||
"\n",
|
||
" churn_flag activity_score flow_volatility inertia_ratio \n",
|
||
"0 0 1.386294 49.280511 0.998921 \n",
|
||
"1 0 0.693147 0.000000 0.999640 \n",
|
||
"2 0 0.693147 0.000000 0.999640 \n",
|
||
"3 0 4.304065 2168.971331 0.976619 \n",
|
||
"4 0 0.693147 0.000000 0.999640 \n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"eps = 1e-6\n",
|
||
"\n",
|
||
"client_behavior[\"churn_ratio\"] = (\n",
|
||
" client_behavior[\"total_redemption\"] /\n",
|
||
" (client_behavior[\"total_subscription\"] + eps)\n",
|
||
")\n",
|
||
"\n",
|
||
"client_behavior[\"churn_flag\"] = (\n",
|
||
" client_behavior[\"total_redemption\"] > client_behavior[\"total_subscription\"]\n",
|
||
").astype(int)\n",
|
||
"\n",
|
||
"client_behavior[\"activity_score\"] = np.log1p(client_behavior[\"n_transactions\"])\n",
|
||
"\n",
|
||
"client_behavior[\"flow_volatility\"] = client_behavior[\"std_flow\"].fillna(0)\n",
|
||
"\n",
|
||
"client_behavior[\"inertia_ratio\"] = (\n",
|
||
" 1 - client_behavior[\"n_days\"] / flows[\"Centralisation Date\"].nunique()\n",
|
||
")\n",
|
||
"\n",
|
||
"print(client_behavior.head())\n",
|
||
"\n",
|
||
"client_behavior.to_csv(\"client_behavior_clean.csv\", index=False)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 46,
|
||
"id": "8ee7e911-eb73-4846-b545-661140411c1b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/tmp/ipykernel_1042/1645623303.py:17: RuntimeWarning: invalid value encountered in scalar divide\n",
|
||
" .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Registrar Account - ID n_isin_held n_funds_held n_asset_types \\\n",
|
||
"0 100000014 1 1 1 \n",
|
||
"1 100000016 2 2 2 \n",
|
||
"2 100000028 1 1 1 \n",
|
||
"3 100000038 3 3 2 \n",
|
||
"4 100000042 1 1 1 \n",
|
||
"\n",
|
||
" n_strategies total_aum median_aum concentration_ratio \n",
|
||
"0 1 0.0000 0.0 NaN \n",
|
||
"1 2 0.0000 0.0 NaN \n",
|
||
"2 1 126236.2184 0.0 1.0 \n",
|
||
"3 3 0.0000 0.0 NaN \n",
|
||
"4 1 446362.9015 0.0 1.0 \n",
|
||
" n_isin_held n_funds_held n_asset_types n_strategies total_aum \\\n",
|
||
"count 12501.000000 12501.000000 12501.000000 12501.000000 1.250100e+04 \n",
|
||
"mean 5.514759 4.408367 2.082473 4.109271 4.218474e+08 \n",
|
||
"std 10.434698 5.472756 1.254048 4.714800 5.618341e+09 \n",
|
||
"min 1.000000 1.000000 1.000000 1.000000 -2.586805e+08 \n",
|
||
"25% 1.000000 1.000000 1.000000 1.000000 0.000000e+00 \n",
|
||
"50% 2.000000 2.000000 2.000000 2.000000 2.587605e+05 \n",
|
||
"75% 6.000000 5.000000 3.000000 5.000000 8.817014e+06 \n",
|
||
"max 469.000000 67.000000 6.000000 48.000000 4.780234e+11 \n",
|
||
"\n",
|
||
" median_aum concentration_ratio \n",
|
||
"count 1.250100e+04 7708.000000 \n",
|
||
"mean 2.573991e+05 0.790503 \n",
|
||
"std 3.487976e+06 0.261535 \n",
|
||
"min -2.317333e+06 -2.591840 \n",
|
||
"25% 0.000000e+00 0.576503 \n",
|
||
"50% 0.000000e+00 0.972159 \n",
|
||
"75% 1.474502e+02 1.000000 \n",
|
||
"max 2.215373e+08 2.983529 \n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/tmp/ipykernel_1042/1645623303.py:17: FutureWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
|
||
" .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Diversification per account\n",
|
||
"account_div = stocks.groupby(\"Registrar Account - ID\").agg(\n",
|
||
" n_isin_held=(\"Product - Isin\", \"nunique\"),\n",
|
||
" n_funds_held=(\"Product - Fund\", \"nunique\"),\n",
|
||
" n_asset_types=(\"Product - Asset Type\", \"nunique\"),\n",
|
||
" n_strategies=(\"Product - Strategy\", \"nunique\"),\n",
|
||
" total_aum=(\"Value - AUM €\", \"sum\"),\n",
|
||
" median_aum=(\"Value - AUM €\", \"median\")\n",
|
||
").reset_index()\n",
|
||
"\n",
|
||
"# Concentration ratio per account\n",
|
||
"aum_by_account_fund = stocks.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Fund\"]\n",
|
||
")[\"Value - AUM €\"].sum().reset_index()\n",
|
||
"\n",
|
||
"concentration = aum_by_account_fund.groupby(\"Registrar Account - ID\") \\\n",
|
||
" .apply(lambda x: x[\"Value - AUM €\"].max() / x[\"Value - AUM €\"].sum()) \\\n",
|
||
" .reset_index(name=\"concentration_ratio\")\n",
|
||
"\n",
|
||
"# Merge diversification + concentration\n",
|
||
"account_static = account_div.merge(concentration, on=\"Registrar Account - ID\", how=\"left\")\n",
|
||
"\n",
|
||
"print(account_static.head())\n",
|
||
"print(account_static.describe())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 47,
|
||
"id": "76f6fa0d-9d7a-4145-af1c-986d83947f91",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Registrar Account - ID country region\n",
|
||
"0 100000014 SWITZERLAND SWITZERLAND\n",
|
||
"1 100000016 UNITED KINGDOM UNITED KINGDOM\n",
|
||
"2 100000028 UNITED KINGDOM UNITED KINGDOM\n",
|
||
"3 100000038 SWITZERLAND SWITZERLAND\n",
|
||
"4 100000042 UNITED KINGDOM UNITED KINGDOM\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Geographic info per account\n",
|
||
"geo = stocks.groupby(\"Registrar Account - ID\").agg(\n",
|
||
" country=(\"RegistrarAccount - Country\", lambda x: x.mode()[0]),\n",
|
||
" region=(\"Registrar Account - Region\", lambda x: x.mode()[0])\n",
|
||
").reset_index()\n",
|
||
"\n",
|
||
"print(geo.head())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 48,
|
||
"id": "e9bb67ab-9029-4ace-b960-b3d6e0b8683c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" Registrar Account - ID n_days n_transactions total_netflows mean_flow \\\n",
|
||
"0 100000028 3 3 -109.238 -36.412667 \n",
|
||
"1 100000042 1 1 -660.115 -660.115000 \n",
|
||
"2 100000065 1 1 -174.646 -174.646000 \n",
|
||
"3 100000069 65 73 -7479.755 -102.462397 \n",
|
||
"4 100000073 1 1 -133.402 -133.402000 \n",
|
||
"\n",
|
||
" std_flow total_subscription total_redemption churn_ratio \\\n",
|
||
"0 49.280511 0.000 -109.238 -1.092380e+08 \n",
|
||
"1 NaN 0.000 -660.115 -6.601150e+08 \n",
|
||
"2 NaN 0.000 -174.646 -1.746460e+08 \n",
|
||
"3 2168.971331 33320.402 -40800.157 -1.224480e+00 \n",
|
||
"4 NaN 0.000 -133.402 -1.334020e+08 \n",
|
||
"\n",
|
||
" churn_flag ... n_funds_held n_asset_types n_strategies total_aum \\\n",
|
||
"0 0 ... 1.0 1.0 1.0 126236.2184 \n",
|
||
"1 0 ... 1.0 1.0 1.0 446362.9015 \n",
|
||
"2 0 ... 1.0 1.0 1.0 488743.4240 \n",
|
||
"3 0 ... 0.0 0.0 0.0 NaN \n",
|
||
"4 0 ... 2.0 2.0 2.0 373322.8948 \n",
|
||
"\n",
|
||
" median_aum concentration_ratio country region \\\n",
|
||
"0 0.0 1.0 UNITED KINGDOM UNITED KINGDOM \n",
|
||
"1 0.0 1.0 UNITED KINGDOM UNITED KINGDOM \n",
|
||
"2 0.0 1.0 UNITED KINGDOM UNITED KINGDOM \n",
|
||
"3 NaN NaN UNKNOWN UNKNOWN \n",
|
||
"4 0.0 1.0 UNITED KINGDOM UNITED KINGDOM \n",
|
||
"\n",
|
||
" log_total_aum log_median_aum \n",
|
||
"0 11.745918 0.0 \n",
|
||
"1 13.008890 0.0 \n",
|
||
"2 13.099595 0.0 \n",
|
||
"3 NaN NaN \n",
|
||
"4 12.830202 0.0 \n",
|
||
"\n",
|
||
"[5 rows x 24 columns]\n",
|
||
" Registrar Account - ID n_days n_transactions total_netflows \\\n",
|
||
"count 6842 6842.000000 6842.000000 6.842000e+03 \n",
|
||
"unique 6842 NaN NaN NaN \n",
|
||
"top 100000028 NaN NaN NaN \n",
|
||
"freq 1 NaN NaN NaN \n",
|
||
"mean NaN 122.731804 376.273166 3.426362e+04 \n",
|
||
"std NaN 363.726141 1972.817028 1.644676e+06 \n",
|
||
"min NaN 1.000000 1.000000 -9.982301e+06 \n",
|
||
"25% NaN 2.000000 2.000000 -3.448661e+02 \n",
|
||
"50% NaN 5.000000 6.000000 -1.116000e+00 \n",
|
||
"75% NaN 27.000000 42.000000 4.220087e+01 \n",
|
||
"max NaN 2715.000000 53314.000000 1.319043e+08 \n",
|
||
"\n",
|
||
" mean_flow std_flow total_subscription total_redemption \\\n",
|
||
"count 6842.000000 5.696000e+03 6.842000e+03 6.842000e+03 \n",
|
||
"unique NaN NaN NaN NaN \n",
|
||
"top NaN NaN NaN NaN \n",
|
||
"freq NaN NaN NaN NaN \n",
|
||
"mean 420.503483 6.035653e+03 1.565831e+05 -1.223195e+05 \n",
|
||
"std 15548.555778 7.652710e+04 4.204641e+06 2.600731e+06 \n",
|
||
"min -333474.890000 0.000000e+00 -3.931320e+02 -2.069900e+08 \n",
|
||
"25% -35.658375 5.643245e+01 0.000000e+00 -6.968600e+03 \n",
|
||
"50% -0.067287 2.479222e+02 3.393685e+02 -4.493603e+02 \n",
|
||
"75% 2.235534 9.869604e+02 6.000000e+03 -7.275400e+01 \n",
|
||
"max 871531.706418 4.697263e+06 3.388942e+08 0.000000e+00 \n",
|
||
"\n",
|
||
" churn_ratio churn_flag ... n_funds_held n_asset_types \\\n",
|
||
"count 6.842000e+03 6842.000000 ... 6842.000000 6842.000000 \n",
|
||
"unique NaN NaN ... NaN NaN \n",
|
||
"top NaN NaN ... NaN NaN \n",
|
||
"freq NaN NaN ... NaN NaN \n",
|
||
"mean -7.445486e+08 0.000146 ... 5.054224 2.114294 \n",
|
||
"std 1.163193e+10 0.012090 ... 6.457703 1.342230 \n",
|
||
"min -5.212597e+11 0.000000 ... 0.000000 0.000000 \n",
|
||
"25% -2.279500e+06 0.000000 ... 1.000000 1.000000 \n",
|
||
"50% -1.048786e+00 0.000000 ... 2.000000 2.000000 \n",
|
||
"75% -9.333542e-01 0.000000 ... 7.000000 3.000000 \n",
|
||
"max 3.225589e+01 1.000000 ... 67.000000 6.000000 \n",
|
||
"\n",
|
||
" n_strategies total_aum median_aum concentration_ratio \\\n",
|
||
"count 6842.000000 6.724000e+03 6.724000e+03 6586.000000 \n",
|
||
"unique NaN NaN NaN NaN \n",
|
||
"top NaN NaN NaN NaN \n",
|
||
"freq NaN NaN NaN NaN \n",
|
||
"mean 4.631102 7.136776e+08 4.051506e+05 0.782903 \n",
|
||
"std 5.493014 7.438256e+09 4.121668e+06 0.267426 \n",
|
||
"min 0.000000 -9.151116e+07 -2.317333e+06 -2.591840 \n",
|
||
"25% 1.000000 5.107611e+05 0.000000e+00 0.561855 \n",
|
||
"50% 2.000000 4.221523e+06 0.000000e+00 0.965881 \n",
|
||
"75% 6.000000 3.987106e+07 2.531545e+04 1.000000 \n",
|
||
"max 48.000000 4.780234e+11 2.215373e+08 2.983529 \n",
|
||
"\n",
|
||
" country region log_total_aum log_median_aum \n",
|
||
"count 6842 6842 6724.000000 6724.000000 \n",
|
||
"unique 34 16 NaN NaN \n",
|
||
"top FRANCE FRANCE NaN NaN \n",
|
||
"freq 2631 2643 NaN NaN \n",
|
||
"mean NaN NaN 15.046065 4.392450 \n",
|
||
"std NaN NaN 4.320148 5.462132 \n",
|
||
"min NaN NaN 0.000000 0.000000 \n",
|
||
"25% NaN NaN 13.143657 0.000000 \n",
|
||
"50% NaN NaN 15.255707 0.000000 \n",
|
||
"75% NaN NaN 17.501160 10.139210 \n",
|
||
"max NaN NaN 26.892926 19.216101 \n",
|
||
"\n",
|
||
"[11 rows x 24 columns]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. Merge behavior (flows) with static diversification (stocks)\n",
|
||
"client_master = client_behavior.merge(\n",
|
||
" account_static,\n",
|
||
" on=\"Registrar Account - ID\",\n",
|
||
" how=\"left\"\n",
|
||
")\n",
|
||
"\n",
|
||
"# 2. Add geographic info\n",
|
||
"client_master = client_master.merge(\n",
|
||
" geo,\n",
|
||
" on=\"Registrar Account - ID\",\n",
|
||
" how=\"left\"\n",
|
||
")\n",
|
||
"\n",
|
||
"# 3. Create additional engineered features\n",
|
||
"client_master[\"log_total_aum\"] = np.log1p(client_master[\"total_aum\"].clip(lower=0))\n",
|
||
"client_master[\"log_median_aum\"] = np.log1p(client_master[\"median_aum\"].clip(lower=0))\n",
|
||
"\n",
|
||
"\n",
|
||
"# 4. Replace NaN flow volatility with 0 (inactive accounts)\n",
|
||
"client_master[\"flow_volatility\"] = client_master[\"flow_volatility\"].fillna(0)\n",
|
||
"\n",
|
||
"# 5. Fill missing diversification metrics with 0 (for accounts without stocks)\n",
|
||
"client_master[[\"n_isin_held\",\"n_funds_held\",\"n_asset_types\",\"n_strategies\"]] = \\\n",
|
||
" client_master[[\"n_isin_held\",\"n_funds_held\",\"n_asset_types\",\"n_strategies\"]].fillna(0)\n",
|
||
"\n",
|
||
"# 6. Fill missing geography as “UNKNOWN”\n",
|
||
"client_master[\"country\"] = client_master[\"country\"].fillna(\"UNKNOWN\")\n",
|
||
"client_master[\"region\"] = client_master[\"region\"].fillna(\"UNKNOWN\")\n",
|
||
"\n",
|
||
"# 7. Export\n",
|
||
"client_master.to_csv(\"client_master.csv\", index=False)\n",
|
||
"\n",
|
||
"print(client_master.head())\n",
|
||
"print(client_master.describe(include='all'))\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "fb1e98a5-6ab4-4371-ba45-6558ff38c839",
|
||
"metadata": {},
|
||
"source": [
|
||
"Détection des ruptures"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 65,
|
||
"id": "6bdd8077-c8e0-451d-a7b8-15a2705ad196",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# --- 1. PREPARE STOCKS ---\n",
|
||
"stocks_clean = stocks[[\n",
|
||
" \"Registrar Account - ID\", \"Product - Isin\", \n",
|
||
" \"Centralisation Date\", \"Quantity - AUM\"\n",
|
||
"]].copy()\n",
|
||
"\n",
|
||
"stocks_clean[\"Centralisation Date\"] = pd.to_datetime(stocks_clean[\"Centralisation Date\"])\n",
|
||
"stocks_clean = stocks_clean.sort_values([\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"])\n",
|
||
"\n",
|
||
"# --- 2. PREPARE FLOWS ---\n",
|
||
"flows_clean = flows[[\n",
|
||
" \"Registrar Account - ID\", \"Product - Isin\", \n",
|
||
" \"Centralisation Date\", \"Quantity - NetFlows\"\n",
|
||
"]].copy()\n",
|
||
"\n",
|
||
"flows_clean[\"Centralisation Date\"] = pd.to_datetime(flows_clean[\"Centralisation Date\"])\n",
|
||
"\n",
|
||
"# Aggregate flows per day to avoid duplicates\n",
|
||
"flows_clean = flows_clean.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
|
||
")[\"Quantity - NetFlows\"].sum().reset_index()\n",
|
||
"\n",
|
||
"# --- 3. MERGE STOCKS WITH FLOWS ---\n",
|
||
"merged = stocks_clean.merge(\n",
|
||
" flows_clean,\n",
|
||
" on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
|
||
" how=\"left\"\n",
|
||
")\n",
|
||
"\n",
|
||
"merged[\"Quantity - NetFlows\"] = merged[\"Quantity - NetFlows\"].fillna(0)\n",
|
||
"\n",
|
||
"# --- 4. SHIFT STOCKS TO COMPARE t vs t+1 ---\n",
|
||
"merged[\"prev_stock\"] = merged.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
|
||
")[\"Quantity - AUM\"].shift(1)\n",
|
||
"\n",
|
||
"# SHIFT NET FLOWS FROM PREVIOUS DATE\n",
|
||
"merged[\"prev_netflows\"] = merged.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
|
||
")[\"Quantity - NetFlows\"].shift(1).fillna(0)\n",
|
||
"\n",
|
||
"# Expected stock\n",
|
||
"merged[\"expected_stock\"] = merged[\"prev_stock\"] + merged[\"prev_netflows\"]\n",
|
||
"\n",
|
||
"# --- 5. COMPUTE GAP BETWEEN EXPECTED AND REAL ---\n",
|
||
"merged[\"gap\"] = merged[\"Quantity - AUM\"] - merged[\"expected_stock\"]\n",
|
||
"\n",
|
||
"# tolerance for numerical noise\n",
|
||
"TOL = 1e-6\n",
|
||
"merged[\"rupture_flag\"] = (merged[\"prev_stock\"].notna()) & (merged[\"gap\"].abs() > TOL)\n",
|
||
"\n",
|
||
"# --- 6. AGGREGATE BY CLIENT TO DETECT BIG ISSUES ---\n",
|
||
"rupture_summary = merged.groupby(\"Registrar Account - ID\").agg(\n",
|
||
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
|
||
" total_obs=(\"rupture_flag\", \"count\"),\n",
|
||
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
|
||
" max_gap=(\"gap\", lambda x: x.abs().max())\n",
|
||
").reset_index()\n",
|
||
"\n",
|
||
"# Sort by biggest anomalies\n",
|
||
"rupture_summary = rupture_summary.sort_values(\"rupture_ratio\", ascending=False)\n",
|
||
"\n",
|
||
"rupture_summary.head(10)\n",
|
||
"\n",
|
||
"rupture_summary_asc = rupture_summary.sort_values(\"rupture_ratio\", ascending=True)\n",
|
||
"rupture_summary_asc.to_csv('rupture.csv')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 54,
|
||
"id": "72332a7e-0ab0-474b-aac7-b52ebbba7a8b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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tf/r0aQFAjB492uT51hakl5aWisDAQCGXy3X11HrmmWd016Gac+trys7OFs2aNRO+vr7i5MmTRsvs3LlTNGvWTO/61r17d7Flyxazr01EZEtMwUZEVAdz587FP//8gw0bNuDZZ5/FrbfeiuzsbCxduhQ9evTA5s2bLX6tI0eOAIDBMGEAGDx4MIDr6YS0UlNTARgfWmrKBx98gGnTpmHo0KHYuXOnwdBnSygUCojrD3cN/lWvH3B9yDsA/O9//9NtKykpwZYtW9C9e3f07NlTt93a83emI0eOwM/PD9HR0Qb7zNW1b9++BttatmwJAGbTbFlaJ8D4769Ro0bo168fKisrcerUKb19Pj4+6N69u9Xvt3z5cgDA5MmTddskEgkmTZqEq1evYu3atbrtZWVlOHHiBKKiotChQwezr3vw4EEIITB48GDdUG9TzJ1z69at0bZtW2RmZqK0tNTS0zLJnp+dMZmZmRg1ahTUajXWrVtXp7/VhqZRo0Z4//33oVKpEBMTg0mTJuH555/HLbfcgs8//1y3SrtUavq29vLly7jrrruQn5+PL774Ap06dTIos2LFCowYMQITJ07EuXPnUF5ejkOHDiEiIgJxcXH47LPP7HaORETVeXSQvmfPHsTFxaF58+aQSCT48ccfrX4NIQQWL16Mjh07QqFQoEWLFnjzzTdtX1kicjkBAQG4//778cEHH2Dv3r24dOkSnnrqKVRWVuKxxx5DVVWVRa9TUlICqVRqkNIIuD5PUiKRoKSkRLetuLgYEokEERERFtd17969AK7PD/X397f4uLoaNmwYmjVrhnXr1kGtVgMAvv32W1y9elUXwGtZe/7OVFJSgrCwMKP7tJ+HsboGBgYabNPONdb+fupTJwAm55ObqldYWJjBvNzaVFZW4uuvv0ajRo0wduxYvX3aoH3lypW6bcXFxQCAFi1a1Pra1pSt6znXhT0/u5qysrIwePBgFBQU4Ntvv9U9+KkuKCgIwI3fV00lJSW6MpaWr17O2vLa/7amfF089thj2Lp1K2JiYrBp0yZ89tlnkMvl2LFjB9q3bw8AJv82L1++jDvvvBPHjx/HsmXLMGnSJIMyJ0+exPTp0zFq1Ci8//77aNu2Lfz8/NCnTx/88MMPaNGiBV566SVUVlbW6zyIiCzh0UF6eXk5evbsiaVLl9b5NWbPno3ly5dj8eLFOHnyJDZv3my0h4WIGr6goCB8+umniIyMREFBAY4dO2bRcYGBgdBoNLh06ZLBvvz8fAgh9AKF4OBgCCGQk5Njcd1WrFiBvn37Yu7cufj4448tPq6uZDIZJkyYgNzcXPz6668ArveqS6VSgxzf1p6/KVKpFNeuXTO6z1QAYa3AwEDk5+cb3add3MqSutqS9v3y8vKM7jdVL2sDdOB6ruqioiKUlZXB398fEolE90/bm3nw4EH8+eefAG4EZhcvXqz1tbWLrFlS1tpz1vawGmsftmob9ZWZmYlBgwYhJycHGzZswN133220nHZEwpkzZwz25ebmoqysTG/Ugrny2u3e3t66xfvatm0LqVRqtnz119X+d1lZme73Xlv5uho5ciR27dqF0tJSVFRUYPfu3bj11luRnp4OqVSKPn36GByjDdCPHj2KTz/9FE8++aTR105KSsK1a9eMPhjRjp4pLS3F2bNn630eRES18eggfeTIkXjjjTdw7733Gt2vVCrx/PPPo0WLFvD390f//v11K5gCwIkTJ7Bs2TJs2rQJo0ePRlRUFPr27YvY2FgHnQERuRqJRGK0p1omk5nsdevduzcA6F1ftLTbqq8ir30QuH37dovrFRISgl9//RX9+vXD7Nmzbb5aujHaHvM1a9bgr7/+wu7duzF48GCDnlJrz9+UkJAQ5OfnGwRi5eXlRgMOmUwGwLre0N69e6OiokI35aCudbUlc7+/8vJyHDx4EL6+vkaH91prxYoVAID7778fjz32mME/7eri2nKNGjVC165dkZWVZTLo0+rXrx+kUil27doFlUpltqy5c/7rr79w7tw5tG3bFgEBAQDMPwDQDp2vr7q0J63MzEwMHjwYOTk5WL9+Pe655x6TZe+44w4Axv/+t23bplcGAAYMGABvb28kJSVBCKFX/sKFCzh16hQGDhyoGx3g6+uL6OhonDp1ChcuXNArL4RAUlIS/P390a9fvzrXyZb279+P8+fPY8SIEQa99dUD9E8++QRPPfWUydfRjnwy9rCw+naFQmGjmhMRmeGUmfAuCID44Ycf9LZNmzZN3HLLLWLPnj3i7Nmz4r333hMKhUK3+M0777wjOnbsKBYvXizatGkjIiMjxWOPPaa3Ui0RNTyff/65SE1NNbrvhx9+EBKJRAQHB4vKykrd9n79+gkfHx9x9epVg2O0q5t37dpVbxXpoqIi0blzZ4Mcw3/++aeQyWSiefPmRvMYm1vd/cqVK+Lmm28WAMQHH3xg8Tlbkye9uq5duwp/f3/xyiuvCABi9erVBmWsPX9Ti4A9+eSTBu+h0Wh0edlrfuVpV702tViVudXdhwwZore4WXZ2tmjatKnJ1d2NvceuXbsEABEfH2/0/WuyZHX3pKQkvX0vvfSSydXdrc3hnZmZKSQSiWjTpo3JfNRFRUW6PPDa9r906VIBQAwdOtRgdferV6/qfWfef//9AoB45ZVXDF47Ly/PYHV3Hx8fkZ6eriuj0Wh0ixZWX8BPCCE6deokvLy89BZcKykpEQMGDDC7cJwxU6ZMEQD0sivU1p5MyczMFK1btxZeXl7iu+++q7W8SqUSbdu2FQqFQhw5ckS3vaioSHTs2FF4e3sbZH2YPHmyAKCXhaH676rmgmsrV64UAMSECRP0Putly5YJAOKJJ57QK3/q1Cnh5eUlOnbsqLdw4JEjR4RCoRBdunQRarXa5DnVtnCcEELv2qB18eJF0blzZ+Hl5WWwSOXly5dFr169BADx0UcfmXxdrZSUFAFANGvWTPz99996+7Zu3SokEolo1aqVRbnYiYjqi3nSTcjOzsaqVauQnZ2N5s2bAwCef/55JCYmYtWqVXjrrbeQmZmJCxcuYOPGjfjqq6+gVqsxZ84cjBs3Djt37nTyGRCRvfzyyy+YPn062rdvj4EDB6J58+YoLy/HkSNHsHfvXkilUnz22Wd6PS5DhgzBwYMHMXLkSNx2223w9vbG7bffrvv39NNP45NPPkG3bt1w3333QQiB7777Dn///TeeeeYZvfzC3bt3x4cffohnnnkGN910E8aMGYPIyEjk5uZiz549GDVqlC4ve03BwcFISkrC8OHDMWfOHAghjOb1NubatWtYuHChyf0PPvigbsiz1sMPP4x58+bh3XffhZ+fH+677z6D46w9f1NmzZqFVatWYdq0aUhKSkLTpk2xd+9eFBUVoWfPnjh69Khe+cGDB0MikeDll1/G8ePHERQUhODgYMyaNcvkezz88MP4/vvvsWnTJvTo0QN33323Lk96YWEhlixZgrZt29ZaV1uSSqVYvXo1hg8fjrvuugv3338/IiMjkZKSguTkZLRr1w5vv/12vd9n5cqVEEJgypQpJofKBwUF4d5778XatWvx448/Yvz48ZgxYwZ2796NDRs2oEOHDhg9ejQCAwORnZ2Nbdu2YcWKFRgzZgwA4LPPPkN6ejrefPNNbN26FUOGDIEQAqdPn8b27duRl5eH4OBgBAYG4ssvv8SECRPQv39/jB8/Hk2bNsWvv/6KQ4cOITo6Gi+88IJe3Z577jk88cQTiImJwf333w+NRoNffvkFN998c71/N0Dd2pP2uOzsbAwYMAB//vmnbqpAddX/7ry8vLB8+XIMHz4ct99+Ox588EEEBATgu+++w4ULF7B48WJdnnatt99+G7t27cJTTz2FX3/9Fe3bt8fu3bvx+++/Iy4uDg8++KBe+SlTpmD9+vX45ptvkJWVhTvuuANnz57F999/j6ioKLzxxht65Tt27IiFCxdi/vz56NmzJ+677z6UlpZi3bp1AIAvv/zSYFG35cuXY9++fQCgmxq0fPly3eiIW2+9FdOmTdOV//jjj7FmzRrceuutCAsLw19//YVNmzahoqICK1asMBjqPnbsWKSlpaFz584oLCw0eu169tlndaMsBgwYgIkTJ2Lt2rXo0qUL7r33XoSHh+PEiRP46aefIJVK8cknn9RpmggRkdWc+ojAhaBGT/pPP/0kAAh/f3+9f15eXuKBBx4QQgjx+OOPCwDi1KlTuuMOHTokAJhM7UFE7u/kyZPi3XffFbGxsSIqKkr4+PgIHx8f0a5dOzFlyhSj+YtLS0vF448/LiIiIoRMJjPag7py5Upx8803Cz8/P+Hn5yduvvlms2nWdu3aJe6++24RGhoqvL29RcuWLcV9990n9u/frytjqve1uLhYxMTEmM2fXF1tKdhqXkO1srOzhVQq1fXKmWPp+ZtLp7Vz507Rv39/oVAoROPGjcXDDz8s8vLyTPaKrl69WnTv3l0oFAoBQK932dQxKpVKLF68WHdcQECAuOOOO8SmTZsMyjqiJ13rzz//FOPGjRNNmjQRcrlcREZGitmzZxtNt2dtT7parRYtW7YUEolEZGZmmi2blJRkNEXb8uXLxYABA4S/v7/w8/MTHTp0ENOnTxfZ2dl6xxcXF4tXX31VdO7cWSgUChEUFCR69eolFixYYJCabc+ePWLkyJEiODhYeHt7i44dO4pXX31VlJWVGa3b0qVLRYcOHYRcLhetW7fWvSZs0JMuhPn2ZEptf1em6nDgwAExYsQIERgYKHx9fUV0dLRYt26dyff5559/xNSpU0WzZs2Et7e36NChg3j99df1UvNVV1lZKRYuXCjatWsnvL29RXh4uJg2bZrIzc01+R5r1qwR/fr1E76+viIoKEjcddddBj3cWtrfoal/Nf++d+zYIYYOHSrCwsKEXC4X4eHhYvz48QYp2bQsuWbV/PzUarVYtmyZiImJEQEBAUImk4mwsDBx7733ipSUFJPnTURkaxIhakxQ8lASiQQ//PCD7mn++vXr8dBDD+H48eO6eWZajRo1Qnh4OOLj4/HWW2/pzZ27evUq/Pz8sH37ds5NJyIiIiIiIqtwuLsJvXv3hlqtRn5+Pm677TajZQYOHIhr167h3LlzaNeuHQDg9OnTAIDIyEiH1ZWIiIiIiIgaBo/uSS8rK9Ol0ujduzfef/99DB48GKGhoWjdujUmTZqE/fv3Y8mSJejduzcuXbqEHTt2oEePHhg1ahQ0Gg1uvvlmNGrUCB9++CE0Gg1mzpyJwMBAq1ZdJiIiIiIiIgI8PEhPTk42mg9zypQpWL16NVQqFd544w189dVXuHjxIpo0aYIBAwYgISEB3bt3BwD8888/ePrpp7F9+3b4+/tj5MiRWLJkCUJDQx19OkREREREROTmPDpIJyIiIiIiInIl0tqL2M+iRYtw8803IyAgAGFhYRgzZgxOnTpl9pgvv/wSt912G0JCQhASEoKhQ4ciNTXVQTUmIiIiIiIish+nBum7d+/GzJkz8fvvvyMpKQkqlQrDhg1DeXm5yWOSk5MxYcIE7Nq1CykpKWjVqhWGDRuGixcvOrDmRERERERERLbnUsPdL126hLCwMOzevRu33367Rceo1WqEhITg008/xeTJkw32K5VKKJVK3c8ajQaFhYVo3LgxJBKJzepOREREREREZIwQAqWlpWjevDmkUvN95S6Vgq24uBgArFp0raKiAiqVyuQxixYtQkJCgk3qR0RERERERFRXf/31F1q2bGm2jMv0pGs0GowePRpFRUXYt2+fxcc99dRT2LZtG44fPw4fHx+D/TV70ouLi9G6dWtkZWUhICDAJnUn51CpVNi1axcGDx4MuVzu7OqQB2CbI0djmyNnYLsjR2ObI0dzRpsrLS1FVFQUioqKEBQUZLasy/Skz5w5E+np6VYF6G+//TbWrVuH5ORkowE6ACgUCigUCoPtoaGhCAwMrHN9yflUKhX8/PzQuHFjXtDJIdjmyNHY5sgZ2O7I0djmyNGc0ea072PJlGuXCNJnzZqFn376CXv27Km1619r8eLFePvtt/Hrr7+iR48edq4hERERERERkf05NUgXQuDpp5/GDz/8gOTkZERFRVl03Lvvvos333wT27ZtQ79+/excSyIiIiIiIiLHcGqQPnPmTKxduxabNm1CQEAAcnNzAQBBQUHw9fUFAEyePBktWrTAokWLAADvvPMOFixYgLVr16JNmza6Yxo1aoRGjRo550SIiIiIiIiIbMCpedKXLVuG4uJiDBo0CBEREbp/69ev15XJzs5GTk6O3jFVVVUYN26c3jGLFy92xikQERERERER2YzTh7vXJjk5We/n8+fP26cyRERERERERE7m1J50IiIiIiIiIrrBJVZ3JyIiIiIiIrKGWiOQmlWI/NJKhAX4IDoqFDJp7SnOXB2DdCIiIiIiInIriek5SNiSgZziSt22iCAfxMd1xYhuEU6sWf1xuDsRERERERG5jcT0HMxYc1gvQAeA3OJKzFhzGInpOSaOdA8M0omIiIiIiMgtqDUCCVsyYGwJcu22hC0ZUGtqX6TcVTFIJyIiIiIiIreQmlVo0INenQCQU1yJ1KxCx1XKxhikExERERERkVvILzUdoNelnCtikE5ERERERERuISzAx6blXBFXdyciIiIiIiKXVDPNWsdmjeAlleCaiTnnEgDhQdfTsbkrBulERERERETkcoylWfOWmQ/QASA+rqtb50tnkE5EREREREROVbPH/Ep5FWauPWywinuV+vqWsb1bICXzsl4AH95A8qQzSCciIiIiIiKnMdZjLpXAaJo1rZTMy9j9wmAcunBFF9hHR4W6dQ+6FoN0IiLSU/NJdkP5wiMiIiLXk5iegxlrDHvMa0tznlNciUMXriCmXWO71c1ZGKQTEZGOsSfZEQ1k6BgRERG5FrVGIGFLhtkec3PcOc2aOUzBRkREAG48ya4eoANAbnElZqw5jMT0HCfVjIiIiBqi1KxCg/sOa7hzmjVzGKQTEZHZJ9nabQlbMqCubewZERERkYXq2hMuwfWRfu6cZs0cBulERFTrk2yB63O/UrMKHVcpIiIiatDq0hPeUNKsmcMgnYiILH6S3VDnfhEREZHj9Y0MgcLLfEhaMw4PD/LBskl9GvRaOVw4joiILH6S3VDnfhEREZH91cwgs/fMJSivaYyW1cbmn07ojRB/hUdlnWGQTkREiI4KRUSQj9kh7+GBCmiEwKa0ix7zJUlERES2YSyDjNajAyORmJ6nty/cg7PLMEgnIiLIpBLEx3XF9DWHTZa5UqHCQ8sP6H5majYiIiKyhKlc6Fr9oxpj/qib9HrZPbkzgHPSiYgIADCiWwRaBvsabPfzlgGAwXA0pmYjIiKi2tSWC12C6xlkACCmXWPc06sFYto19tgAHWCQTkRE/8q8VIa/i65CJgG+fLgvPnqwF75+rD8CfeRGyzM1GxEREdWGGWSsx+HuREQEAPj5z+s94rd2aIrYm8IBACnnLiO3pPYv1t/PXYZUKuEQNSIiItLDDDLWY5BOREQAgJ+PXQ/SR/W4Mcfc0i/MmWsPo+iqSvcz56sTERERwAwydcHh7kREhLP5pTiZWwq5TILhXcN12y39wqweoAOcr05ERETXRUeFItjP+NQ54Pqc9Iig66Pw6DqnBumLFi3CzTffjICAAISFhWHMmDE4depUrcdt3LgRnTt3ho+PD7p3746tW7c6oLZERA3XT/8Odb+tQ1MEVfsi1aZms3bgevX56lXXNEg5dxmb0i4i5dxlzl8nIiJq4NQaofvuX5+ajbJKldFy2vuL+LiunCZXjVOHu+/evRszZ87EzTffjGvXruHll1/GsGHDkJGRAX9/f6PH/Pbbb5gwYQIWLVqEu+++G2vXrsWYMWNw+PBhdOvWzcFnQETUMGjno4/qrj88XZuabcaaw5AAJldmNUY7X33Aoh0oLK/SbedQeCIioobLVD70lsG+uKYRemvdeHIudHOcGqQnJibq/bx69WqEhYXh0KFDuP32240e89FHH2HEiBF44YUXAACvv/46kpKS8Omnn+Lzzz+3e52JiBqaU7mlOJNfBm+ZFLE3NTPYP6JbBJZN6mPwhRvsKzcY5m5M9QAduDEUftmkPvxSJiIiakDM5UO/WHQVSyf2Roi/ggvN1sKlFo4rLi4GAISGmp6PkJKSgrlz5+ptGz58OH788Uej5ZVKJZRKpe7nkpISAIBKpYJKVfvNJbku7efHz5EcpaG2uc1pfwMAbuvQGL4y4+d3Z6cmGNThNhy8cAX5pUqEBSig1ghMWX3I6vcT0OZEPY5BHTw7D2ptGmqbI9fGdkeOxjbXMKg1Ags3Hzc76u71nzOwa+7tkEkDAQAa9TVo1I6pX3XOaHPWvJdECOESkwM1Gg1Gjx6NoqIi7Nu3z2Q5b29v/Pe//8WECRN02z777DMkJCQgLy/PoPzChQuRkJBgsH3t2rXw8/OzTeWJiJxII4BzJRKUqIBAOdAuUMDSuFcI4K00GfIrJXi4vRr9mlr+laARQMJhGYqqAFg9a/26WV3V6BDkEl9DREREVA9niiX4NENWazlP/e6vqKjAxIkTUVxcjMDAQLNlXaYnfebMmUhPTzcboNfFvHnz9HreS0pK0KpVKwwbNqzWXw65NpVKhaSkJMTGxkIuN71iJJGtuGKb23Y8D4u2nkRuyY0RQ+GBCsy/qzOGGxm6rqXWCBy8cAVH/ipGfuUZyGUSzH0wFo0U1n0tyNvk4el1RwFYN19dS9O0PdRhjRAWoEC/yBD2qtfgim2OGj62O3I0trmGYcufOUDGsVrLtb2pF+7q4dzpbs5oc9oR3ZZwiSB91qxZ+Omnn7Bnzx60bNnSbNnw8HCDHvO8vDyEh4cbLa9QKKBQKAy2y+VyXgQaCH6W5Giu0uYS03Pw9LqjBsFxXokST687imWT+iC2azhSswr15n4lZeQazC+XSiQ4cL7I6jnid/dqCS8vmcHrhfrLUVhe+7Cuz3Zn6f6bC8qZ5iptjjwL2x05Gtuce4sINr7wt7FyrvI5O7LNWfM+Tg3ShRB4+umn8cMPPyA5ORlRUVG1HhMTE4MdO3bg2Wef1W1LSkpCTEyMHWtKRORa1BqBhC0ZRnuvtXO+X/r+GBZuztBbRTXYT46iCsPgWXlNU+fF3EZ0izB4GNA3MgR3vLcLucWVFvewc0E5IiIi9xUdFYpGCi+UKa8Z3S/B9dXcmQ+9dk7Nkz5z5kysWbMGa9euRUBAAHJzc5Gbm4urV6/qykyePBnz5s3T/Tx79mwkJiZiyZIlOHnyJBYuXIiDBw9i1qxZzjgFIiKnSM0qNEhtUp0AUFSh0gvQ8e82cxK2ZNQpj7lMKkFMu8a4p1cLxLRrDG8vKeLjugKwfLZ69dzqzKVORETkXs7ml6FSZXwVOOZDt45Tg/Rly5ahuLgYgwYNQkREhO7f+vXrdWWys7ORk5Oj+/mWW27B2rVr8cUXX6Bnz5749ttv8eOPPzJHOhF5lPxS0wF6XWnzmqdmFdrk9bSp28KDfJxWByIiIrIPtUYg5dxlbEq7iH1nLuH5jWm4phHo1iLQ4Ls/PMiHI+Ws4PTh7rVJTk422Hb//ffj/vvvt0ONiIjcQ1iA5YGvtWz5AKDmUPgzeWX4dNdZh9aBiIiIbCsxPcdgPRoA8JVLsWLKzWjSSGGwJg570C3nEgvHERGRdaKjQhEWoEB+qbL2wlay9QMA7VB4AEg5d9miIN3aOqg1gjcDREREDpCYnoMZaw4bXXPmqkqDI9lXMKJbhO67n6zHIJ2IyA1JJUBTGwfpjljQJToqFBFBPmYXlIuwsg7GnuZzpXgiIiJ9tnigbW7hWuD6vUTClgzEdg3nw/J6YJBOROSGvjt8Ecf/KYGXVIJgPzkKyqp0+8IDFai8pkFxhcrildUdtaCLTCpBfFxXzFhzGBIYz60+Y1A7i28iTD3N50rxREREN9TngXb14L6gVFnrwrXatWXYk153DNKJiFyIuafc2n1n8kvx9tYTAIDnhnXCE7e3NZoL3VggrP25Ziq2cAf2PGsXlKt5syCXSaBSC7y2JQPXqq3ubuomwpI0dHyaT0REnqbmvcSV8irMXGv+gXbNVKra+w9Tc89rw7Vl6odBOhGRizD3lBuA0aC2daiv3pxvLVOBsDYYN/Vl7CjGcqtnXirDKz+m6wXogOlecUvS0OUUV+L3c5chlUo4X52IiBoUYw/2kzJyDb77pRLjI9e0D7Rf+v4YFm7O0EvbGhHkg9E9I/DFniyLR+VVZ88Fbj0Bg3QiIgcz9aVqatj29DWHjb6OSi0wa+0RyKQSoz3gxgLh6gGqs4ehVX+4oNYIzN2QZrRc9V7xIZ2b4dCFK7qV4i0xc+1hFF29MWqA89WJiMjdGXuwX3OUnJbGTJQtgH+P0T8up7gS/9mTZXW9HLG+jSdgkE5E5EDGvlS1c8hNPeWujbkh3cZ62V2Rpb3iAxbtQGF5lclyxlQP0AHOVyciIvdmaj0WYwG6IzlqfRtPIHV2BYiIPIX2S7VmMJpboqzzF2v1BVrcmaVz16wN0I3R3tQkbMmA2lz3AhERkYupbXV1ZwoP8uEDcBthTzoRkQPY+0vV3RdocfTcNa4+S2R/tkj3RET6aht55mivjuqCJgEK/o3bGIN0IiIHsPeXqrsv0GJJ/nRrBPvKDYa5G+PuDzeIXFV90j0RkWmu8r2lnXv+yMAoBuZ2wOHuREQWUGsEDmQV4lCBBAeyCq0eJm2vL1UJrt/4uvsCLdr86cCNOW3WmjW4HT56sBe+eXwAlj7Ux6Jj3P3hBpErMjm159/1IBLTc0weq9YIpJy7jE1pF5Fy7jKnpBDVUJ/vrZqxdHigAsF+8lq/d2vu59xz+2NPOhFRLfR7hGT46sxBq3uE6vqlWj3PubGc50DD+ZI0lTYu1F+OwvLae8UHtm+qt1p8bT3zDeHhBpGz1RzS3jcyxOTUHm2mhoWbjyPAR46CMmWt+ZjZ+06k7+Y2IfCRS1Gp0lh8jPYO4dMJvRHirzCaXcbUPcYTt0dh89Eco+lc+XdpPwzSicjjWDNP0tQKqtauEB4dFYrG/t64bGLhMwmAID85fLxkenlKw83kSW+IX5LG0sb1jQzBHe/tMhlwG0v3ou2ZN3bjoXV3j+u/t5Rzlw3aAufSEtXOWFBd20M1geuLZT60/IBum7l8zMzGQJ6u5vfR75mXTQbo2u+7mqnYzN0vmHpAXv2Y/xvRhd+JDsYgnYg8irmeGmPBYW09QjVzd5sK9BReUqjUpr9UAeDtsd3N5jU3t68hMZY2zlTAbW40gakbD39vGcqr1Fj923n8cOQiCspuPDjRBgs1ew2q9+YxgCdPVLPdXymvwsy1hg8wLRn1UpO5fMyWXGuJGipj9yxaE6NbY9epfKOBtbX3C8YekFc/xl3SuTYkDNKJyGOY6xWfvuawwZNnS3qEjOXuNhXoAdcXNFPIpcgrUeq21XzCbeqL0JO/JC150m/quJo3Hn1aB+Pez35DRk6JXoAOmA4WtL15xob9cTguNSTV199onFWImPZhSMrINfjbk0qMj1CxB3PXWv7tUUNl6p5F6/aOTfD6mG4mA2tr7xc8+R7DFTFIJyKPYC4FmnZbzVzllvYI1czdba5XqOiqCp/dazgnjL1BtavtSb8pNW881BqBy+VKM0cY0rYRcwE8h+OSuzO2/kbNh5dazljPrea1ln971FDVlrZVO7oktms4A+sGikE6EXkEV8krKgHw+s8nsO/FIQzM68AWT/pTswr1RjLUV/XhuLFdw41+rhwiT67OVK+dsQDdVVjyt0fkLqp/TxSUKs3es2hHl6RmFTJIb6AYpBORWzMV/NTcXn0xNmfiF6vz2SMdnrnPtbYVqxnAk7PV1mtXV6H+3ga937bGayo1BObmnpvjKjnTyfYYpBOR2zIV/BibDx7iJ3dGFU3iF6vz2DM3+v6zl4ymtjG1YjXnuJMrsPVII23Ghd0vDNYt9NbEX4HnNh5FXonptIjaY+vysIDXVHJXtc09N8ee32fkXAzSicgtmfpSMzUf/Eo9h2zW7BGyNHe3KfxidZ7oqNBac6jX1ae7zun+OzxQgcprGrPrINQ2x/3OTk1sXEMiQ7YMcKtnXPD2kur1bi8cbT5Lg7GHVpZea3lNJXdU11EsxlKPUsPCIJ2IXF7N4cDmUqNZwpqemuo9QqmZl7B97wEMu60/ots2NZu7u7bX4xer81iSQ90Wcus47736PNtBHW6zaZ2IjKlPgCuV6C8iZ+t8zH0jQ8xea3lNJXdWl1Es5lKPUsPBIJ2IXJqxIe317cUOqdErrl292FwObm8vKfpHheLyCYH+UaGQe0mtDvT4xeo6TAUL5vKkj+4ZgS/+7fm298LW2nm2By9csfM7kSeq+eAz2E9uEGzXRnsF+3SCddkq6pKPubZrLa+p5K7qMoqlttSj1DAwSCcil2VqSHt9AnQAeHVUF4QH+RrMHa5LDm5rAj1+sboWc8FCzd487fberUPqtLhPXeWXKiFzyDuRpzD24LN6gG7sYaUADFKx1ed6Zm2WBlPXWgAY1Kkpr6nktiwdxfLqqC5oEqDg4qIehEE6Ebkke602DADhQb4GN4h1zcFdl0CPXIepYMHU9pqf95m8Mny666zd6hcWoMBlu706eRpTDz61AfrkmEgkZeQZfbhYl+ujLdX828srUeKtrSeQfPoSDl24gr6RIQ6rC5GtREeFIsRPbnLdHO10jkcGRvH+wcMwSCcil2SPvOa1zV2saw5uawM9cm/VP9eUc5ftEqRr22q/yBBsO2HzlycPZMmDz6SMPIP1N2Lah+mCA2dfz2peU0/lluK7w3/jpe+OYsHdN6GwoooPRMmtqNQak22VU+Q8G4N0InJJtk6nwy87sofaVoqXAAjyk8PHS4bcEuvmuLOtki1Z8uAzp7gShy5c0Vt/w5Xb4PxRXbDteC7O5Jfj4ZWpuu3V0xjWnH/PAJ5cyZd7MlFQVoUgXy/4yGXIq7bgKKfIeTYG6UTkkiydp1UzNRrng5MjmVspXhsGvD22u8mhwqbmuD8yMBIjukVAparf+gtEWpY++LxeLtC+lbGRA1mXUaa8ZrBdm8bQWEq3CBcZvk/095UKLE2+PhLrtXu64e4ezdkmScepQfqePXvw3nvv4dChQ8jJycEPP/yAMWPGmD3m66+/xrvvvoszZ84gKCgII0eOxHvvvYfGjTmklMid1ezt6BoRCG+ZBFVq44Mzq6dGO3ThCueDk9NYklYKMD5UuOY825Rzl7Huj7+QlJGPeSM1YIslW7H0wae75BvXDt83Rvut8Z9/R6pUl1tcielrDhsshBfBB7nkANXvddYeuIBKlQbRUaEY3bM5JBJOkaMbnBqkl5eXo2fPnpg6dSrGjh1ba/n9+/dj8uTJ+OCDDxAXF4eLFy9i+vTpePzxx/H99987oMZEZA/GVhtWeEnNBujAjdRonA9OzlbXhQcB/bY6rGs4dp7Mx99XruKb1GxMvLmFvatOHiI6KhThgT560y6qq75mh0Zt2Dvtauq6bon2W6WoxkJd2t73ZZP6sJed7MLYvQ4ADOvaDBIJ2xfpc2qQPnLkSIwcOdLi8ikpKWjTpg2eeeYZAEBUVBSefPJJvPPOO/aqIhHZmanVhpXXNACA0T0j8Mf5Kxy6Ti7PFg+GfL1leObODpj/Yzo+3nEGzQO9cahAgsZZhXoLeBFZSyaV4Jb2jfH94YsG+2qu2aFRO7ZudWHrdUsErv8eXvr+GBZuzjBYQ4LfOVQfpu51AODNn0+gZYgv2xfpcas56TExMXj55ZexdetWjBw5Evn5+fj2229x1113mTxGqVRCqbyxCENJSQkAQKVSca6fm9N+fvwc3ZdaI7Bw83Gzqw3/cb4Qvz57G478VYT8UiXCAhToFxkCmVTi8M+ebY4cYWyvcHz462kUlFXh8TVHAMjw1ZmDCA9UYP5dnTH8pmbOriK5oayCcvz8Zw4AINDHCyWVN3rLw4MUeGVkZ9zZqYne/ZErX+sa+9n+FlZA28NuvJf9kwd7YmiXMBy8cMXg+4jqxx3aXF1Zcq+TsOU4BnVozLbkQM5oc9a8l0QIYY80xFaTSCQWzUnfuHEjpk6disrKSly7dg1xcXH47rvvIJfLjZZfuHAhEhISDLavXbsWfn5+tqg6EdXRmWIJPs2Q1VpuVlc1OgS5xKWKyO6OXpZg5WkpYDAj/frfwNSOGvRszL8Hqp1GAOdKJCiuApIuSpF7VYJOQRo82VmDzFIJSlRAoBxoFyjgbrGBRgAJh2UoqgIM/1bsQcDPC5BLgeKqG+8X7C0wtg3/Jsk03uuQVkVFBSZOnIji4mIEBppfoNOtgvSMjAwMHToUc+bMwfDhw5GTk4MXXngBN998M1asWGH0GGM96a1atUJBQUGtvxxybSqVCklJSYiNjTX5kIZc25Y/czB347Fay71/f3fE9XD+MDC2ObI3tUZg0JI9yK2Whqe66/OGFdg193b2uJBZ247n4Y2tJ/XakgRAwugumHBzK7PHusu1btvxPDy97igA42kMHUH7V/jJgz05yqUe3KXN1YW73et4Cme0uZKSEjRp0sSiIN2thrsvWrQIAwcOxAsvvAAA6NGjB/z9/XHbbbfhjTfeQESEYcNWKBRQKBQG2+VyeYO7CHgqfpbuKyLY3+JyrvQZs82RvRw8d9lkgA5cD0RyipU48ncpF0YkkxLTc/D0uqMGgasAEL/5BMICLZv/6urXurt7tYSXl8xgMS5tKs4v/l3d3Z4BvHYu+xtbTyKkkQ8KypRcbK4eXL3N1YW73ut4Cke2OWvex62C9IqKCnh56VdZJrs+fMRFBgQQkRWurzasqKXX8PrNDpEnsC6XNZEhbWoy8/NfMxDbNbxBBJHmMiv0bh1iEMBrU69JYLvgXQDILVHioeUHdNuqLzZXM8UoA3jPEh0VioggH5PZCHivQ8Y4NUgvKyvD2bNndT9nZWUhLS0NoaGhaN26NebNm4eLFy/iq6++AgDExcXh8ccfx7Jly3TD3Z999llER0ejefPmzjoNIrJCzZuVqCaNjAbpNVcbJvIEDS2XNTlebanJro/GqERqVmGDGY1hKrOCqQA+KSPXIHgPD1Sg8poGxRUqmwTv2sXmnrg9CpuP5hj09HO1eM8hk0ow/Y52iN983GAf73XIFKcG6QcPHsTgwYN1P8+dOxcAMGXKFKxevRo5OTnIzs7W7X/kkUdQWlqKTz/9FM899xyCg4MxZMgQpmAjchOmcoQCQKi/NwrLq3Q/M80aeSJtj0tucaXJQCGCPS5kBkdj6DMWwJsL3mesOWyTXnbt8f/5d8h9ddoAfunE3gjxV7CH3QMcunAFAKDwkupSzAK81yHTnBqkDxo0yOww9dWrVxtse/rpp/H000/bsVZEZA/mcoQCwBv33MSbFfJ4MqkE8XFdzQYKrUP9IIRAyjkOnyVDHI1hGVPB+7JJfezey659jVnfHIGm2gtyiHzDdCKnBJuP/gMA2Dg9BuVKNT9XqpVbzUknIvdU2xxJCYDXfz6BfS8O4ZcVeTxTgUKovzeKKqpwIKsQPV/bjnKlWrePw2c9V81g7u8r5WbLc/6reY7oZdfS1HghDpFvmJZsPw0AGNUjAj1aBju3MuQ2GKQTkd154hxJovrQBgopZ/Oxfe8BDLutP2Lah2HhluP4X8oFvQAduHFzv2xSH97EexBzU4gAGASUnP9qGWt62W2JQ+QbhuoPzkquqvDriTxIJcCcoR2dXTVyIwzSicjuOEeSyHoyqQT9o0Jx+YRA/397PX/NyDNaVpsGqiGt2k03GBv6rO3ZNdWr+/htUfjpT/3eWM5/rZ+avexN/BV4buNR5JWYXkPCViwZIk/OZ+rBWf+oxmgf1shJtSJ3xCCdiGyu5g1lk0YKi47z9DmSROZwRIpnMnbTr50jbW4K0U9/5mD3C4Nx6MIV9rraUM1e9oWjza8hYWumhshzFI3zmVt7JyXzMhLTc/gZkcUYpBORTRm7oQzxk5u9geEcSaLacUSK5zF1028sbWV12gc2hy5c4QMbOzM1DD4iyAeje0bgi3+HrtsrgK8+imZI52Z8KONA1TskmvgrsHCz+bV3ONKJrMEgnYhsxtQN5ZUKlcljOEeSyDJctduz1LbgpiX4wMYxTC02J5NK0Lt1iEEAL5UY9ojXh/ahzIBFO/RSmXIovP3Uth5ETRzpRNZikE5ENmHJDWWwnxw+XjLklnCOJJG1asuhzhEpDUtt0xsswQc2jmNssTnAeAB/pbwKM9ceBmDbHvbqATrAofD2UltKWXP44IwsxSCdiGzCkhvKogoVvn6sD6RSCYfjEVnJkhzqHJHi3qoPnz2TV1bn1+EDG9diLIBfJrX/EHkuKGl79R3hwgdnZCkG6URkE5Y+HS4oV+KeXi3sXBuihslcGqhHBkayt8yNWTt81hROIXIPjhoiz2HWtlXXES58cEbWYpBORDbB+bJEjlHz5v63c5ex/o+/sP/sZWg0AlIGZm6nLsNnJQCCOIXIrTlyiPz+s5c8fgSbsVSG1v4e6jJcnQ/OqC4YpBORTWjny5p6wsynyES2U/3mflCnMPz8Zw5O55Vh58l8DO3azMm1I2vUZfis9jb/7bHdTfbGknuzdIh8qL8cheWmF2fV+nTXOd1/e+KCcsZGqlT/PZgK4OuaUrY6PjijumCQTkQ2IZNKsODurpjx9WGDfXyKTGQ/Qb5yTBoQic93n8NnyWdxZ5cwSCT8O3MXdRk+W/Omn8OYPYOxHva+kSG4471dJheUNMbTFpQzmcrw39/DE7dHYfPRHKPrA9Tc3kghM/teEgDNAhVY8kAvFJQp+eCM6oxBOhHZjEIuNbqdT5GJ7GvqrW2wcn8WDmcXYdX+LDRupODNoZuwdPjsrMHt0KFZAD9XD2esh722BSVrsjS3ui2GhztazTr3jQwxOVJFu+0//y7UV11OcaXR7WVKte6/a/6+tb+ZhaNvwsD2Tep6CkQAGKQTkY1oNALvJp4CADx+exSGdGrmVl/sRO4sLMAH/aNCsfdMAV776YRuuycOa3V1dR0+O7B9U/aYk1HmFpQ0pbbc6gDMDg93RcaGtFs6HcBaTClL9sYgnYhsYvPRf3AytxQBPl6YOag9gv28nV0lIo+RmJ6DvWcKDLZ72rBWV2csiAjyNX8rxvU8yBI1h8KfySvDp7vO1nqcsdzq09cYTlvT7nPV64mpIe32CNABppQl+2OQTkR1pu0Ryim6ikWJ13vvpt/RjgE6kQNpFx4zhnmSXYepIKL46jXdf5saPsv1PMgS1YfCp5y7bFGQXpO54fKuej2pb+7yumJKWbInBulEVCfGeoSkEqBliK8Ta0XkeWpbeEw7rPX3c5fZ6+MklgQRHD5LtqTNuGLNgnKW0F5PVu/PQpMA11j7oq65y+uLKWXJnhikE5HVTPUIaQTw7Lo0KLykvKkkchBLFx6bufYwiq7eGPrp6vNLGxJLgggOnyVbkkklVi8oZ43Xf3adtS/qkru8PjgFhRzB+FLMREQmWNIjlLAlA2qNoweeEXkmS3tzqgfowI35pYnpOfaoFlVjaRBRUK5ETLvGuKdXC8S0a8wAnepFu6BceJD+NSLUX27T93H2tcTSa2Cov/5UvIggHzx5exQkuDG1pDacgkKOwp50IrKKpUNrU7MKuRIxkQPUdVirq84vbYgsDSI4fJZszVa51c1x9rVEew00dW+i7fne/cJgo+nmercOMbqSvbE86ZyCQo7CIJ2IrGJpj5Cjh58Rear6DGvlQzX7qZ5qrYm/N3zlMlxVqY2W5fBZsidrcqtX/9ma64kz176QSSV4qH9rLN5+2mBf9Z5vby+p0eucsQcZ2nr/34gubpcrnhoGBulEZFbNnL6N/S1buZ09QkSOYypPcrCv3GCYuzF8qGZbxhbWNIXDZ8kZTF0zws3kSbeEo9a+qH5v4uctw9e/XwAA+MilqFRpdOUs7fk29iDD3HYie2OQTkQmGbvR9JGbX8qCPUJEzmGsN0gjBB5afqDWYwtKldiUdpE9RTZgamFNrWA/OYoqbgQxHD5LzmKuBxmA3r6CUqXeYnGmmFr7wpa51U09BGvayBu/PjcIGf+UsOeb3B6DdCIyytSNZvUn1MzpS+Raavb6qDWi1vnqUolrrdTszmpbWFMCwMdLiq+n9UdBmZJBBDmduZ7i6vvUGoHl+7KcvvaFuYdgl8qqkHKugNcuahC4ujsRGbA0p2+zQP0h7eFBPjZ9Wk5E9aOdrw6YXr24ZiIGZ6/U7M4sWVgzt0QJqUTCFdzJrVhyLTGl+toXxqg1AgeyCnGoQIIDWYV62WHUGoGUc5exKe0i9p8pwMLN5h+CMbsMNRTsSSciA8zpS9RwmJp7KpUYBuiA81dqdmdcWJMaMnusfaE/dF2Gr84c1I3mAaybF8+FMKkhcWqQvmfPHrz33ns4dOgQcnJy8MMPP2DMmDFmj1EqlXjttdewZs0a5ObmIiIiAgsWLMDUqVMdU2kiD2BNTt97erWwc22IqL5qzj2tbX4pb3brhqnWqKGrz9oXNdu9qaHrucWVmL7mcJ3ryIdg1BA4NUgvLy9Hz549MXXqVIwdO9aiYx544AHk5eVhxYoVaN++PXJycqDRaGo/kIjMqr5SakGp0qJjeKNJ5D6qzy/dlHbRomN4s2ud6KhQhAUokG/iGsqFNakhqMvaF+GBCmiE0C1Q2TcyxOS0uvoOVue9CTUETg3SR44ciZEjR1pcPjExEbt370ZmZiZCQ69/wbVp08ZOtSPyHNakCwJ4o0nk7iy9iW3ir0DKucuc0mIhmVSCdk0bGQ3SubAmNVTa+erG8q5rFZZX6fW2h/rLUVhe+xB5a/DehBoSt5qTvnnzZvTr1w/vvvsu/ve//8Hf3x+jR4/G66+/Dl9fX6PHKJVKKJU3vixLSkoAACqVCiqVbS8O5Fjaz4+fY/1sO56Hp9cdtfjJtfbW8pWRnaBRX4NGba+auR62OXI0e7W53i0DEB6oQF6J0uTfvrdMirkb0pBXLeAMD1Rg/l2dMfymZjatT0ORfrEEv2ddBgA09vfG5fIq3b7wIAVeGdkZd3Zq4vLXEF7ryFp3dmqCTx7siTe2nkRuyY1rhr+3DOVValSp9a809gjQAc+8N6G6ccZ1zpr3kgghXGIJRIlEUuuc9BEjRiA5ORlDhw7FggULUFBQgKeeegqDBw/GqlWrjB6zcOFCJCQkGGxfu3Yt/Pz8bFV9IrekEUDCYRmKqgDj67WKf5+K39gX7C0wto0GPRu7xKWDiOro6GUJVp7WJnmp/vcvqm0TRvc90kGDRnKgRAUEyoF2gQKe3jksBPDxcRkySyXo20SDSe01OFci4e+IPIpGQNfuG3kBX5+TotjkPYbt8N6E3EFFRQUmTpyI4uJiBAYGmi3rVkH6sGHDsHfvXuTm5iIoKAgA8P3332PcuHEoLy832pturCe9VatWKCgoqPWXQ65NpVIhKSkJsbGxkMvlzq6OW1BrBA5euIL8UiXCAhRQawSmrD5U63Evj+yIJo0UCAtQoF9kiMcO1WSbI0ezd5vbdjzPoOcrPNAbZUo1ypSmu6JqrgzPHnZg67FczN7wJ3zlUmybfSsigtx3XiyvdWQLB7IKMWnlQZu/rgRAs0BvvDO2Oy6XV3n8vQnVjTOucyUlJWjSpIlFQbpbDXePiIhAixYtdAE6AHTp0gVCCPz999/o0KGDwTEKhQIKhcJgu1wu5xdPA8HP0jLG5p0H+1r2e2sW5MdV3KthmyNHs1ebu7tXS4zs0cLqlZprpm7LK1Hi6XVHsWxSH4zoFmHzeroq7YKbF4sq8PbWkwCA6Xe0R+smAU6umW3wWkf1cbniWp2Oqz6vveYcd20YvnB0N9zRObzulSP6lyOvc9a8j1sF6QMHDsTGjRtRVlaGRo0aAQBOnz4NqVSKli1bOrl2RK7LVJoTS/KaAlwplaghq7lSs6Urv1fnibnVjT34lEqANk04lY4IsPzeIdTfG4V66zeYzpOu3edJDwPJMzk1SC8rK8PZs2d1P2dlZSEtLQ2hoaFo3bo15s2bh4sXL+Krr74CAEycOBGvv/46Hn30USQkJKCgoAAvvPACpk6danLhOCJPp9YIk2lOasOVUok8T10fynlSbnVTDz41Anh2XRoUXlIGEeTxoqNCzaZm095j7H5hMFIzL2H73gMYdlt/xLQP0z3oq5mTnRkmyFNIay9iPwcPHkTv3r3Ru3dvAMDcuXPRu3dvLFiwAACQk5OD7OxsXflGjRohKSkJRUVF6NevHx566CHExcXh448/dkr9idxBalahxanVqmO6ICLPpL2xrutffUPPrW7Jg8+ELRlQ15wTQORhtKnZAMNl46rfY3h7SdE/KhR9mwj0rxGEa0f63NOrBWLaNeb9CHkMp/akDxo0CObWrVu9erXBts6dOyMpKcmOtSJqWCy9YQ72lesNf+eQMiLPZEnOY3Maem712h58etKIAqLajOgWgWWT+nDYOpGV3GpOOhFZz9Khq0sn9oFUKmmwN9ZEZDlTN9Y1V3WvSSYFnt2QhkvVcqtHuPnNuHZxOO21MbfEsgefDX1EAZGlRnSL4LB1IisxSCdq4KKjQhEWoEB+tZvm6rRzwgZwGBkRVWPsxvpKeRVmrj0MwHgPu1oDvQAdAHKLKzFjzWG3XPnd2OJwgT6W3TpxwU2iG2ouUElE5lkcpO/Zs8eicrfffnudK0NEtlG95yfYTw4/b5nRcpx3TkTmGLuxXiY1MnQ1UIGKKjVKKg1TLrnryu+mFoczdo7VccFNIiKqL4uD9EGDBkEiuf7FamoeuUQigVqttk3NiKhOjPX8AIC3lxSBPl4oKDNMc+JuvVtE5DzGethry63ubvO0Lc2KYSqHMx98EhFRfVgcpIeEhCAgIACPPPIIHn74YTRp0sSe9SKiWtScJxkdFYqkjFyjPT8AUHVNg9dG34QQfwXnhBFRvdQ1t7qpedrGrmfOvDZZmhUjxER+Zz74JCKi+rA4SM/JycEPP/yAlStX4t1338Vdd92Fxx57DCNGjND1sBORYxjrLQ8PVKDymsZkz48EwOs/n8C+F4cwMCcim7J0/rWxld+TMnINrmfOXmzO0kXfXh3VBeFBvi7zcIGIiBoGi4N0b29vjB8/HuPHj0d2djZWr16NWbNmQalUYsqUKUhISICXF9ehI7I3U/Mkc0uMLwyn5W7DTYnIfWhzq+cWV5p8UOgllWDuxjTkVbtWBfvJUVShMijr7MXmLH3oEB7ky+spERHZnLQuB7Vu3RoLFizAr7/+io4dO+Ltt99GSUmJretGRLg+DDTl3GVsSruI/WcKsHBz7fMkzWFaICKyNW1udeDGvOyarmmEXoAOwGiADtyY552wJQNqcznf7CQ6KhRNGylM7pfgem8/F4cjIiJ7sLrrW6lU4rvvvsPKlSuRkpKCUaNG4eeff0ZoKL+oiGzN1CJw9cG0QERkD6Zyq4cHKlCmVKNMaX5V9JocPfpHLyuGrxxymfHHDVwcjoiI7M3iID01NRWrVq3CunXr0KZNGzz66KPYsGEDg3MiOzE1rL2umBaIiOytLiu/18YRo39MPRD1kUsR6CNHfrXc71wcjoiI7M3iIH3AgAFo3bo1nnnmGfTt2xcAsG/fPoNyo0ePtl3tiDyUpel/LMWeHyJylLqu/G6KvUf/mHsgWqnS4P37uzIrBhEROZRVw92zs7Px+uuvm9zPPOlEdVMz/ZBGiDoNcZcACPKTw8dLhtySasNN2fNDRE5SnyDbHqN/ql9vm/grzK7zwawYRETkDBYH6RqNxp71IPJYxoZZBvvKrX4d7e3j22O7Gww3Zc8PETmLJSu/mxIeqLBpDnVr1/lgVgwiInIG5kwjciJTwyyLrhpf8dicmr3lvKEkIlegXfl9xprDkAB61zvtzzVTsTX290bxVRXS/ipGr9e2o6Lqxig9S3KoGwvskzJy67zOB7NiEBGRI1kcpH/88cdGtwcFBaFjx46IiYmxWaWIPEF95p1LADQLVGDJA71QUKZkbzkRuTSTK7//G3AbG/3z1tYTWLEvSy9AB27kUF86sbfRueLGesvDAxWovKap8zofzIpBRESOZHGQ/sEHHxjdXlRUhOLiYtxyyy3YvHkzV3snMsGW884BYOHomzCwfRPbVpKIyE6Mrfxe/eFi9dE/ao3A1mM5Rl9HG2jP+uYIqqdQjwjyweieEfhiT5ZBMJ5bIz+7pZgVg4iInMHiID0rK8vkvszMTEyaNAnz58/HZ599ZpOKETUkxnp2giycdx7sK9cb/s5F4IjIXdVc+d2U1KzCWh9iampE4jnFlfjPHtP3KtZiVgwiInIWm8xJb9u2Ld5++21MnTrVFi9H1KCYmndebOG886UT+0AqlXAROCLyGK4wB5wPRImIyFlstnBc69atkZuba6uXI2oQ6jvvPDzIBwPaNWZQTkQexdFzwLnOBxERuRKbBenHjh1DZGSkrV6OqEGwZMimMRxmSUSerD5p26zFdT6IiMjVWBykl5SUGN1eXFyMQ4cO4bnnnsOUKVNsVjGihsDSIZucd05EdIO5tG11JQEQ5CeHj5cMuSWGK8zzektERK7C4iA9ODgYEonxHj2JRIJp06bhpZdeslnFiBoCS4dsct45EZE+U2nbpBLDReNqMpaPHQDeHtvd7ArzRERErsDiIH3Xrl1GtwcGBqJDhw5o1KiRzSpF1FBER4WiWaACeSbS/3DeORGRacbStl0pr8LMtYcBGA/En7g9CpuP5hjNx67tLbdkhXkiIiJnsThIv+OOO2otk56ejm7dutWrQkQNiVQCtGnsbzRI57xzIqLaGUvbtkxq2MNePRD/vxFd2FtORERuq94Lx5WWluKbb77B8uXLcejQIajValvUi8htqTVCd3OYfrEYB7IKIQEQ4u+NwvIqXTnOgyQiqhtjPezVA3FL87ETERG5ojoH6Xv27MGKFSvw3XffoXnz5hg7diyWLl1qy7oRuZ3E9ByD3h0AuKdXcyx5oBd7doiIbISBOBERNVRWBem5ublYvXo1VqxYgZKSEjzwwANQKpX48ccf0bVrV3vVkcgtJKbnYMaaw0ZXId6U9g9GdAtnrzkREREREZkltbRgXFwcOnXqhD///BMffvgh/vnnH3zyySf1evM9e/YgLi4OzZs3h0QiwY8//mjxsfv374eXlxd69epVrzoQ1YVaI5By7jI2pV1EyrnLqLqmQcKWDLNpghK2ZEBd25LERERERETk0SzuSf/ll1/wzDPPYMaMGejQoYNN3ry8vBw9e/bE1KlTMXbsWIuPKyoqwuTJk3HnnXciLy/PJnUhspSxIe2h/nIUlqtMHiMA5BRXIjWrkMMziYiIiIjIJIt70vft24fS0lL07dsX/fv3x6effoqCgoJ6vfnIkSPxxhtv4N5777XquOnTp2PixImIiYmp1/sTWUs7pL3mnHNzAXp1+aWVtRciIiIiIiKPZXFP+oABAzBgwAB8+OGHWL9+PVauXIm5c+dCo9EgKSkJrVq1QkBAgD3rCgBYtWoVMjMzsWbNGrzxxhu1llcqlVAqb6S/KikpAQCoVCqoVJYFVuSatJ+fPT9HtUbg4IUryC9Voom/NxZuPm52SHttGvt5sd25MUe0OaLq2ObIGdjuyNHY5sjRnNHmrHkviRCizjHHqVOnsGLFCvzvf/9DUVERYmNjsXnz5jq9lkQiwQ8//IAxY8aYLHPmzBnceuut2Lt3Lzp27IiFCxfixx9/RFpamsljFi5ciISEBIPta9euhZ+fX53qSp7h6GUJvj8vRVGVLVZgFwj2BuL7qMEF3YmIiIiIPEtFRQUmTpyI4uJiBAYGmi1brzzpnTp1wrvvvotFixZhy5YtWLlyZX1eziy1Wo2JEyciISEBHTt2tPi4efPmYe7cubqfS0pK0KpVKwwbNqzWXw65NpVKhaSkJMTGxkIul9v0tbcdz8OqlKP16jXXkvz7v2+M7YnhNzWzwSuSs9izzREZwzZHzsB2R47GNkeO5ow2px3RbYl6BelaMpkMY8aMMdsLXl+lpaU4ePAgjhw5glmzZgEANBoNhBDw8vLC9u3bMWTIEIPjFAoFFAqFwXa5XM6LQANR389SrRF6+cv7RobgzV9O1TlAD/X3RmF5le7n8CAfxMd1Zfq1BoTXD3I0tjlyBrY7cjS2OXI0R7Y5a97HJkG6IwQGBuLYsWN62z777DPs3LkT3377LaKiopxUM3JndVmp3RQJrgfku18YjEMXruiC/uioUMg4xp2IiIiIiCzg1CC9rKwMZ8+e1f2clZWFtLQ0hIaGonXr1pg3bx4uXryIr776ClKpFN26ddM7PiwsDD4+PgbbqeFTawQOZBXiUIEEjbMKEdM+DDKpxKBXvHqAXHPflfIqzFx72KDHvK4BOgDEx3WFt5eUadaIiIiIiKhOnBqkHzx4EIMHD9b9rJ07PmXKFKxevRo5OTnIzs52VvXIRen3fsvw1ZmDiAjyweieEdh8NEevVzzi36HmAAx6zKUS2GTOOcAh7UREREREZBtODdIHDRoEc4vLr1692uzxCxcuxMKFC21bKXJp2jzlNVtNTnEl/rMny6B8bnElpq85bPS1NHWM0CUAmgUqsOSBXigoU3JIOxERERER2YxFQbo1adVGjx5d58oQmaPWCCRsybCq99tWPeVa2jB84eibMLB9Exu/OhEREREReTqLgnRLV22XSCRQq9X1qQ+RSalZhXrD1R2BK7UTEREREZEjWRSkazQae9eDyEDNhd5ySxwXoHOldiIiIiIicga3ScFGnsVYarRgX8fkMORK7URERERE5Cx1CtLLy8uxe/duZGdno6qqSm/fM888Y5OKkecytThc0VXrU6NZQirRX0SOQ9qJiIiIiMhZrA7Sjxw5grvuugsVFRUoLy9HaGgoCgoK4Ofnh7CwMAbpZJWaQ9r7RoZYtDicBJYtCle9XM1jtD3mn07ojRB/BYe0ExERERGR01kdpM+ZMwdxcXH4/PPPERQUhN9//x1yuRyTJk3C7Nmz7VFHaqCMDWkP9ZejsLz2HvOQGgu6mcqTHm4mTzp7zImIiIiIyNVYHaSnpaXhP//5D6RSKWQyGZRKJdq2bYt3330XU6ZMwdixY+1RT3JzNXvMr5RXYeZawyHtlgToAPDqqC5o2kiO7XsPYNht/RHTPgwyqQT/N6KL3vtU7xWP7Rpuch8REREREZErsDpIl8vlkEqlAICwsDBkZ2ejS5cuCAoKwl9//WXzCpL7M9ZjLpXUL4d5eJAv+rUOxOUTAv2rBdsyqcTkQm/m9hEREREREbkCq4P03r17448//kCHDh1wxx13YMGCBSgoKMD//vc/dOvWzR51JDdmahE4TR0jdG1qtOioUGjU1+pbPSIiIiIiIpcitfaAt956CxER1+fwvvnmmwgJCcGMGTNw6dIl/Oc//7F5Bcl9qTXCokXgLFU9NRqHqRMRERERUUNkdU96v379dP8dFhaGxMREm1aI3FfNeecaIfSGuFsrtMbicFzojYiIiIiIGjqrg/QhQ4bg+++/R3BwsN72kpISjBkzBjt37rRV3ciNGJt3HuQrr9NraYe0735hMA5duMKF3oiIiIiIyGNYHaQnJyejqqrKYHtlZSX27t1rk0qRezE177z4qmUrtVdXfUi7t5eUC70REREREZFHsThI//PPP3X/nZGRgdzcXN3ParUaiYmJaNGihW1rRy6vvvPOpRL9ReQ4pJ2IiIiIiDyZxUF6r169IJFIIJFIMGTIEIP9vr6++OSTT2xaOXJ9qVmFdZp3ru0x/3RCb4T4KziknYiIiIiICFYE6VlZWRBCoG3btkhNTUXTpk11+7y9vREWFgaZTGaXSpLryi+1LEAP9pWjqNrwd/aYExERERERGbI4SI+MjAQAaDQau1WG3E9YgI9F5ZZO7AOpVMIecyIiIiIiIjOsXjgOAM6dO4cPP/wQJ06cAAB07doVs2fPRrt27WxaOXJ90VGhiAjyMTnkXbtS+4B2jRmUExERERER1UJq7QHbtm1D165dkZqaih49eqBHjx44cOAAbrrpJiQlJdmjjuTCZFIJHrmljdF91VdqZ4BORERERERUO6t70l966SXMmTMHb7/9tsH2F198EbGxsTarHLk+lVqDH9P+AQD4yKWoVN2YDsF550RERERERNaxOkg/ceIENmzYYLB96tSp+PDDD21RJ3Jxao1AalYh8ksr8du5yziRU4JgPzkSZ9+OrIJyzjsnIiIiIiKqI6uD9KZNmyItLQ0dOnTQ256WloawsDCbVYxcU2J6DhK2ZBjMQR/TqznCg3wQHmTZQnJERERERERkyOIg/bXXXsPzzz+Pxx9/HE888QQyMzNxyy23AAD279+Pd955B3PnzrVbRcn5EtNzMGPNYQgj+/772wUMaNuYQ9uJiIiIiIjqweIgPSEhAdOnT8err76KgIAALFmyBPPmzQMANG/eHAsXLsQzzzxjt4qSc6k1AglbMowG6FoJWzIQ2zWcQ9yJiIiIiIjqyOIgXYjr4ZlEIsGcOXMwZ84clJaWAgACAgLsUztyGalZhSbTrAGAAJBTXInUrELEtGvsuIoRERERERE1IFbNSZdI9HtIGZx7jvxS0wF6XcoRERERERGRIavypHfs2BGhoaFm/1ljz549iIuLQ/PmzSGRSPDjjz+aLf/9998jNjYWTZs2RWBgIGJiYrBt2zar3pPqJizAsgXhLC1HREREREREhqzqSU9ISEBQUJDN3ry8vBw9e/bE1KlTMXbs2FrL79mzB7GxsXjrrbcQHByMVatWIS4uDgcOHEDv3r1tVi8yFB0VioggH5ND3iW4nhc9Osq6BzVERERERER0g1VB+oMPPmjTNGsjR47EyJEjLS5fMw/7W2+9hU2bNmHLli0mg3SlUgmlUqn7uaSkBACgUqmgUqmsr7QHmzmoLeZvyjDYrp0E8crITtCor0Gjdkx9tJ8fP0dyFLY5cjS2OXIGtjtyNLY5cjRntDlr3sviIL3mfHRXoNFoUFpaanaY/aJFi5CQkGCwffv27fDz87Nn9RqcpCwpAClkEgG1uNEegrwFxrbRQH3hELZecEK9kpIc/6bk0djmyNHY5sgZ2O7I0djmyNEc2eYqKiosLmv16u6uZPHixSgrK8MDDzxgssy8efP08reXlJSgVatWGDZsGAIDAx1RzQbhUqkS//fHXgAafDGpLxRyKfJLlQgLUKBfZIhT0q6pVCokJSUhNjYWcrnc4e9PnodtjhyNbY6cge2OHI1tjhzNGW1OO6LbEhYH6RqNpk6VsZe1a9ciISEBmzZtMjsEX6FQQKFQGGyXy+W8CFhh9e9nobymQe/WwRjSNdylRlbwsyRHY5sjR2ObI2dguyNHY5sjR3Nkm7Pmfayak+4q1q1bh2nTpmHjxo0YOnSos6vT4F0uU+J/KdfHsT8zpINLBehEREREREQNiVUp2FzBN998g0cffRTffPMNRo0a5ezqeITl+7JwVaVG9xZBGNSpqbOrQ0RERERE1GA5tSe9rKwMZ8+e1f2clZWFtLQ0hIaGonXr1pg3bx4uXryIr776CsD1Ie5TpkzBRx99hP79+yM3NxcA4Ovra9PUcASoNQKpWYU4f7kMq/ZlAQCeHtKevehERERERER25NQg/eDBgxg8eLDuZ+0Cb1OmTMHq1auRk5OD7Oxs3f4vvvgC165dw8yZMzFz5kzddm15so3E9BwkbMnQy4nuJZVArXG9xQOJiIiIiIgaEqcG6YMGDTK7anzNwDs5Odm+FSIkpudgxprDqPmpXNMIPPX1YSyb1AcjukU4pW5EREREREQNndvNSSf7UWsEErZkGATo1SVsyWCPOhERERERkZ0wSCed1KxCvSHuNQkAOcWVSM0qdFyliIiIiIiIPAiDdNLJLzUdoNelHBEREREREVmHQTrphAX42LQcERERERERWYdBOulER4UiIsgHppKsSQBEBPkgOirUkdUiIiIiIiLyGAzSSUcmlSA+rqvRheO0gXt8XFfIpMyVTkREREREZA8M0knPiG4R6BsZbLA9PMiH6deIiIiIiIjszKl50sn1XK1SI+OfUgDA62O6IdDHC2EB14e4swediIiIiIjIvhikk57kU/m4qlKjRbAvJvVvDYmEgTkREREREZGjcLg76fnpWA4AYFSPCAboREREREREDsYgnXSuVqmx80Q+AGBUd849JyIiIiIicjQG6aSz69+h7i1DfNGjZZCzq0NERERERORxGKSTzs9//jvUvTuHuhMRERERETkDg3QCAFRUXcPOk/8Ode/Boe5ERERERETOwCCdAAC7Tl7SDXXv3oJD3YmIiIiIiJyBQToBAH4+9g8ArupORERERETkTMyT7uHUGoG9Zy4hKSMPADDyJg51JyIiIiIichb2pHuwxPQc3PrOTjyy6g+o1AIAMP3rQ0hMz3FyzYiIiIiIiDwTg3QPlZiegxlrDiOnuFJve15xJWasOcxAnYiIiIiIyAkYpHsgtUYgYUsGhJF92m0JWzKg1hgrQURERERERPbCIN0DpWYVGvSgVycA5BRXIjWr0HGVIiIiIiIiIgbpnii/1HSAXpdyREREREREZBsM0j1QWICPTcsRERERERGRbTBI90DRUaGICDIdgEsARAT5IDoq1HGVIiIiIiIiIgbpnkgmlSA+rqvRfZJ//z8+ritkUonRMkRERERERGQfDNI91PCbwtG0kbfB9vAgHyyb1AcjukU4oVZERERERESezalB+p49exAXF4fmzZtDIpHgxx9/rPWY5ORk9OnTBwqFAu3bt8fq1avtXs+G6Nylclwqq4JcKsHKR27GRw/2wjePD8C+F4cwQCciIiIiInISpwbp5eXl6NmzJ5YuXWpR+aysLIwaNQqDBw9GWloann32WUybNg3btm2zc00bnh0n8gAAA9o1xpDOYbinVwvEtGvMIe5ERERERERO5OXMNx85ciRGjhxpcfnPP/8cUVFRWLJkCQCgS5cu2LdvHz744AMMHz7cXtVskHacyAcADO3SzMk1ISIiIiIiIi2nBunWSklJwdChQ/W2DR8+HM8++6zJY5RKJZRKpe7nkpISAIBKpYJKpbJLPV3dlYoqHLxQCAC4o0Oo2/4etPV21/qT+2GbI0djmyNnYLsjR2ObI0dzRpuz5r3cKkjPzc1Fs2b6Pb/NmjVDSUkJrl69Cl9fX4NjFi1ahISEBIPt27dvh5+fn93q6sr+uCSBRsgQ4Sdw9LddOOrsCtVTUlKSs6tAHoZtjhyNbY6cge2OHI1tjhzNkW2uoqLC4rJuFaTXxbx58zB37lzdzyUlJWjVqhWGDRuGwMBAJ9bMebatPwogD2P6tcVdsR2cXZ06U6lUSEpKQmxsLORyubOrQx6AbY4cjW2OnIHtjhyNbY4czRltTjui2xJuFaSHh4cjLy9Pb1teXh4CAwON9qIDgEKhgEKhMNgul8s98iJQdU2DvWcuAwBiu0U0iN+Bp36W5Dxsc+RobHPkDGx35Ghsc+Rojmxz1ryPW+VJj4mJwY4dO/S2JSUlISYmxkk1cj9/nC9EqfIamjTyRq+Wwc6uDhEREREREVXj1CC9rKwMaWlpSEtLA3A9xVpaWhqys7MBXB+qPnnyZF356dOnIzMzE//3f/+HkydP4rPPPsOGDRswZ84cZ1TfLf36b+q1wZ3CIGW6NSIiIiIiIpfi1CD94MGD6N27N3r37g0AmDt3Lnr37o0FCxYAAHJycnQBOwBERUXh559/RlJSEnr27IklS5Zg+fLlTL9mISGELvXanUy9RkRERERE5HKcOid90KBBEEKY3L969Wqjxxw5csSOtWq4zuaXIbuwAt4yKW7r0MTZ1SEiIiIiIqIa3GpOOtXPr//2ose0awx/hVutGUhEREREROQRGKl5ALVGIDWrEBsO/gUAGNK5qZNrRERERERERMYwSG/gEtNzkLAlAznFlbptn+46h2aBPhjRLcKJNSMiIiIiIqKaONy9AUtMz8GMNYf1AnQAKChVYsaaw0hMz3FSzYiIiIiIiMgYBukNlFojkLAlA8aW5dNuS9iSAbXG9MJ9RERERERE5FgM0huo1KxCgx706gSAnOJKpGYVOq5SREREREREZBaD9AYqv9R0gF6XckRERERERGR/DNIbqLAAH5uWIyIiIiIiIvtjkN5ARUeFIiLIBxIT+yUAIoJ8EB0V6shqERERERERkRkM0hsomVSC+LiuRheO0wbu8XFdIZOaCuOJiIiIiIjI0RikN2AjukXg1vZNDLaHB/lg2aQ+zJNORERERETkYrycXQGyn2tqDU7klAAAXr6rM5oF+iAs4PoQd/agExERERERuR4G6Q1YalYhLpdXIcRPjkcHRkEu48AJIiIiIiIiV8aorQHbmp4DABjWNZwBOhERERERkRtg5NZAqTUCiel5AICR3cOdXBsiIiIiIiKyBIP0BuqP84UoKFMiyFeOgUYWjyMiIiIiIiLXwyC9gfrl2PWh7rFdm3GoOxERERERkZtg9NYAaTQCv6TnAgDu4lB3IiIiIiIit8EgvQE6lH0F+aVKBPh4cag7ERERERGRG2GQ3gBt1Q5179IMCi+Zk2tDRERERERElmKQ3sBoNAK/HNMOdY9wcm2IiIiIiIjIGl7OrgDZhlojkJpViANZl5FbUgl/bxlu7cCh7kRERERERO6EQXoDkJieg4QtGcgprtRtUwuB5FP5GNGNvelERERERETugsPd3Vxieg5mrDmsF6ADQKVKgxlrDiMxPcdJNSMiIiIiIiJrMUh3Y2qNQMKWDAgzZRK2ZECtMVeCiIiIiIiIXAWDdDeWmlVo0INenQCQU1yJ1KxCx1WKiIiIiIiI6oxBuhvLLzUdoNelHBERERERETmXSwTpS5cuRZs2beDj44P+/fsjNTXVbPkPP/wQnTp1gq+vL1q1aoU5c+agstLzAtGwAB+bliMiIiIiIiLncnqQvn79esydOxfx8fE4fPgwevbsieHDhyM/P99o+bVr1+Kll15CfHw8Tpw4gRUrVmD9+vV4+eWXHVxz54uOCkVEkA8kJvZLAEQE+SA6KtSR1SIiIiIiIqI6cnqQ/v777+Pxxx/Ho48+iq5du+Lzzz+Hn58fVq5cabT8b7/9hoEDB2LixIlo06YNhg0bhgkTJtTa+94QyaQSxMd1NbpPG7jHx3WFTGoqjCciIiIiIiJX4tQ86VVVVTh06BDmzZun2yaVSjF06FCkpKQYPeaWW27BmjVrkJqaiujoaGRmZmLr1q14+OGHjZZXKpVQKpW6n0tKSgAAKpUKKpXKhmfjHHd2aoInbmuD/+w9r7c9PEiBV0Z2xp2dmjSI8zRGe14N9fzI9bDNkaOxzZEzsN2Ro7HNkaM5o81Z815ODdILCgqgVqvRrFkzve3NmjXDyZMnjR4zceJEFBQU4NZbb4UQAteuXcP06dNNDndftGgREhISDLZv374dfn5+9T8JF/DHaSkAKXqGatCzsUCgHGgXWA71hUPYesHZtbO/pKQkZ1eBPAzbHDka2xw5A9sdORrbHDmaI9tcRUWFxWWdGqTXRXJyMt566y189tln6N+/P86ePYvZs2fj9ddfx6uvvmpQft68eZg7d67u55KSErRq1QrDhg1DYGCgI6tuF2XKa3jxYDIADeIfiEH3FkHOrpLDqFQqJCUlITY2FnK53NnVIQ/ANkeOxjZHzsB2R47GNkeO5ow2px3RbQmnBulNmjSBTCZDXl6e3va8vDyEh4cbPebVV1/Fww8/jGnTpgEAunfvjvLycjzxxBN45ZVXIJXqT7NXKBRQKBQGryOXyxvERSA5PQ+VKg2imvijd2RjSCSeN/+8oXyW5D7Y5sjR2ObIGdjuyNHY5sjRHNnmrHkfpy4c5+3tjb59+2LHjh26bRqNBjt27EBMTIzRYyoqKgwCcZlMBgAQQtivsi5qU9o/AIDRPZt7ZIBORERERETUkDh9uPvcuXMxZcoU9OvXD9HR0fjwww9RXl6ORx99FAAwefJktGjRAosWLQIAxMXF4f3330fv3r11w91fffVVxMXF6YJ1T1FQpsTeMwUAgHt6NXdybYiIiIiIiKi+nB6kjx8/HpcuXcKCBQuQm5uLXr16ITExUbeYXHZ2tl7P+fz58yGRSDB//nxcvHgRTZs2RVxcHN58801nnYLTbD2WA7VGoEfLILRt2sjZ1SEiIiIiIqJ6cnqQDgCzZs3CrFmzjO5LTk7W+9nLywvx8fGIj493QM1cW/Wh7kREREREROT+nDonnerur8IKHLpwBRIJg3QiIiIiIqKGgkG6m9p89Hov+i3tGiMs0MfJtSEiIiIiIiJbcInh7mQ5tUYgNesy/pdyHgAQ14O96ERERERERA0Fg3Q3kpieg4QtGcgprtRt++DX0wj2k2NEtwgn1oyIiIiIiIhsgcPd3URieg5mrDmsF6ADQH6JEjPWHEZieo6TakZERERERES2wiDdDag1AglbMiCM7NNuS9iSAbXGWAkiIiIiIiJyFwzS3UBqVqFBD3p1AkBOcSVSswodVykiIiIiIiKyOQbpbiC/1HSAXpdyRERERERE5JoYpLuBsADLUqxZWo6IiIiIiIhcE4N0NxAdFYqIINMBuARARJAPoqNCHVcpIiIiIiIisjkG6W5AJpUgPq6r0X2Sf/8/Pq4rZFKJ0TJERERERETkHpgn3U10aBZgdHt4kA/i47oyTzoREREREVEDwCDdTWw8+DcAYEinpnj89nbIL61EWMD1Ie7sQSciIiIiImoYGKS7gWtqDb47fD1If+Dm1ohp19jJNSIiIiIiIiJ74Jx0N7D79CVcKlWisb83hnQOc3Z1iIiIiIiIyE4YpLuBDQf/AgDc27sFvL34kRERERERETVUjPhcXEGZEjtO5AMA7u/Xysm1ISIiIiIiIntikO7ifjxyEdc0Aj1bBaNTuPEV3omIiIiIiKhh4MJxLkqtEUjNuozlezMBAPf1aeHkGhEREREREZG9MUh3QYnpOUjYkoGc4krdtqW7ziIsQMF86ERERERERA0Yh7u7mMT0HMxYc1gvQAeA/BIlZqw5jMT0HCfVjIiIiIiIiOyNQboLUWsEErZkQBjZp92WsCUDao2xEkREREREROTuGKS7kNSsQoMe9OoEgJziSqRmFTquUkREREREROQwDNJdSH6p6QC9LuWIiIiIiIjIvTBIdyFhAT42LUdERERERETuhUG6C4mOCkVEkA8kJvZLAEQE+SA6KtSR1SIiIiIiIiIHcYkgfenSpWjTpg18fHzQv39/pKammi1fVFSEmTNnIiIiAgqFAh07dsTWrVsdVFv7kUkliI/rCgAGgbr25/i4rpBJTYXxRERERERE5M6cHqSvX78ec+fORXx8PA4fPoyePXti+PDhyM/PN1q+qqoKsbGxOH/+PL799lucOnUKX375JVq0aOHgmtvHiG4RWDapD8KD9Ie0hwf5YNmkPsyTTkRERERE1IB5ObsC77//Ph5//HE8+uijAIDPP/8cP//8M1auXImXXnrJoPzKlStRWFiI3377DXK5HADQpk0bR1bZ7kZ0i0Bs13CkZhUiv7QSYQHXh7izB52IiIiIiKhhc2qQXlVVhUOHDmHevHm6bVKpFEOHDkVKSorRYzZv3oyYmBjMnDkTmzZtQtOmTTFx4kS8+OKLkMlkBuWVSiWUSqXu55KSEgCASqWCSqWy8RnZVr/WgQACAQAa9TVo1M6tj6vRfn6u/jlSw8E2R47GNkfOwHZHjsY2R47mjDZnzXs5NUgvKCiAWq1Gs2bN9LY3a9YMJ0+eNHpMZmYmdu7ciYceeghbt27F2bNn8dRTT0GlUiE+Pt6g/KJFi5CQkGCwffv27fDz87PNiZBTJSUlObsK5GHY5sjR2ObIGdjuyNHY5sjRHNnmKioqLC7r9OHu1tJoNAgLC8MXX3wBmUyGvn374uLFi3jvvfeMBunz5s3D3LlzdT+XlJSgVatWGDZsGAIDAx1ZdbIxlUqFpKQkxMbG6qY+ENkT2xw5GtscOQPbHTka2xw5mjPanHZEtyWcGqQ3adIEMpkMeXl5etvz8vIQHh5u9JiIiAjI5XK9oe1dunRBbm4uqqqq4O3trVdeoVBAoVAYvI5cLudFoIHgZ0mOxjZHjsY2R87AdkeOxjZHjubINmfN+zh1dXdvb2/07dsXO3bs0G3TaDTYsWMHYmJijB4zcOBAnD17FhqNRrft9OnTiIiIMAjQiYiIiIiIiNyJ01OwzZ07F19++SX++9//4sSJE5gxYwbKy8t1q71PnjxZb2G5GTNmoLCwELNnz8bp06fx888/46233sLMmTOddQpERERERERENuH0Oenjx4/HpUuXsGDBAuTm5qJXr15ITEzULSaXnZ0NqfTGs4RWrVph27ZtmDNnDnr06IEWLVpg9uzZePHFF511CkREREREREQ24fQgHQBmzZqFWbNmGd2XnJxssC0mJga///57nd5LCAHAuon75JpUKhUqKipQUlLC+UvkEGxz5Ghsc+QMbHfkaGxz5GjOaHPa+FMbj5rjEkG6I5WWlgK43iNPRERERERE5CilpaUICgoyW0YiLAnlGxCNRoN//vkHAQEBkEgkzq4O1YM2nd5ff/3FdHrkEGxz5Ghsc+QMbHfkaGxz5GjOaHNCCJSWlqJ58+Z607mN8biedKlUipYtWzq7GmRDgYGBvKCTQ7HNkaOxzZEzsN2Ro7HNkaM5us3V1oOu5fTV3YmIiIiIiIjoOgbpRERERERERC6CQTq5LYVCgfj4eCgUCmdXhTwE2xw5GtscOQPbHTka2xw5mqu3OY9bOI6IiIiIiIjIVbEnnYiIiIiIiMhFMEgnIiIiIiIichEM0omIiIiIiIhcBIN0IiIiIiIiIhfBIJ2cZtGiRbj55psREBCAsLAwjBkzBqdOndIrU1lZiZkzZ6Jx48Zo1KgR7rvvPuTl5emVeeaZZ9C3b18oFAr06tXL6HsJIbB48WJ07NgRCoUCLVq0wJtvvmmvUyMX5sh2t23bNgwYMAABAQFo2rQp7rvvPpw/f95OZ0auyhZt7ujRo5gwYQJatWoFX19fdOnSBR999JHBeyUnJ6NPnz5QKBRo3749Vq9ebe/TIxfkqDb3/fffIzY2Fk2bNkVgYCBiYmKwbds2h5wjuR5HXuu09u/fDy8vL5Pfw9SwObLNKZVKvPLKK4iMjIRCoUCbNm2wcuVKu50bg3Rymt27d2PmzJn4/fffkZSUBJVKhWHDhqG8vFxXZs6cOdiyZQs2btyI3bt3459//sHYsWMNXmvq1KkYP368yfeaPXs2li9fjsWLF+PkyZPYvHkzoqOj7XJe5Noc1e6ysrJwzz33YMiQIUhLS8O2bdtQUFBg9HWoYbNFmzt06BDCwsKwZs0aHD9+HK+88grmzZuHTz/9VFcmKysLo0aNwuDBg5GWloZnn30W06ZNY9DkgRzV5vbs2YPY2Fhs3boVhw4dwuDBgxEXF4cjR4449HzJNTiq3WkVFRVh8uTJuPPOOx1yfuR6HNnmHnjgAezYsQMrVqzAqVOn8M0336BTp072OzlB5CLy8/MFALF7924hhBBFRUVCLpeLjRs36sqcOHFCABApKSkGx8fHx4uePXsabM/IyBBeXl7i5MmTdqs7uS97tbuNGzcKLy8voVardds2b94sJBKJqKqqsv2JkNuob5vTeuqpp8TgwYN1P//f//2fuOmmm/TKjB8/XgwfPtzGZ0Duxl5tzpiuXbuKhIQE21Sc3Jq929348ePF/PnzTX4Pk+exV5v75ZdfRFBQkLh8+bL9Kl8De9LJZRQXFwMAQkNDAVx/sqVSqTB06FBdmc6dO6N169ZISUmx+HW3bNmCtm3b4qeffkJUVBTatGmDadOmobCw0LYnQG7JXu2ub9++kEqlWLVqFdRqNYqLi/G///0PQ4cOhVwut+1JkFuxVZsrLi7WvQYApKSk6L0GAAwfPtyqdksNk73aXE0ajQalpaVmy5DnsGe7W7VqFTIzMxEfH2+HmpO7sleb27x5M/r164d3330XLVq0QMeOHfH888/j6tWrdjoTwMtur0xkBY1Gg2effRYDBw5Et27dAAC5ubnw9vZGcHCwXtlmzZohNzfX4tfOzMzEhQsXsHHjRnz11VdQq9WYM2cOxo0bh507d9ryNMjN2LPdRUVFYfv27XjggQfw5JNPQq1WIyYmBlu3brXlKZCbsVWb++2337B+/Xr8/PPPum25ublo1qyZwWuUlJTg6tWr8PX1te3JkFuwZ5urafHixSgrK8MDDzxgs/qTe7Jnuztz5gxeeukl7N27F15eDGXoOnu2uczMTOzbtw8+Pj744YcfUFBQgKeeegqXL1/GqlWr7HI+bNnkEmbOnIn09HTs27fP5q+t0WigVCrx1VdfoWPHjgCAFStWoG/fvjh16pR955OQS7Nnu8vNzcXjjz+OKVOmYMKECSgtLcWCBQswbtw4JCUlQSKR2Pw9yfXZos2lp6fjnnvuQXx8PIYNG2bD2lFD5Kg2t3btWiQkJGDTpk0ICwur83tRw2CvdqdWqzFx4kQkJCTo7umIAPte6zQaDSQSCb7++msEBQUBAN5//32MGzcOn332mV0egnO4OzndrFmz8NNPP2HXrl1o2bKlbnt4eDiqqqpQVFSkVz4vLw/h4eEWv35ERAS8vLz0LuZdunQBAGRnZ9ev8uS27N3uli5diqCgILz77rvo3bs3br/9dqxZswY7duzAgQMHbHUa5EZs0eYyMjJw55134oknnsD8+fP19oWHhxtkIcjLy0NgYCB70T2Uvduc1rp16zBt2jRs2LDBYMoFeR57trvS0lIcPHgQs2bNgpeXF7y8vPDaa6/h6NGj8PLy4ghJD2Xva11ERARatGihC9CB67GEEAJ///237U8IDNLJiYQQmDVrFn744Qfs3LkTUVFRevv79u0LuVyOHTt26LadOnUK2dnZiImJsfh9Bg4ciGvXruHcuXO6badPnwYAREZG1vMsyN04qt1VVFRAKtW/xMpkMgDXn8iS57BVmzt+/DgGDx6MKVOmGE0hGRMTo/caAJCUlGRVu6WGwVFtDgC++eYbPProo/jmm28watQo+5wQuQVHtLvAwEAcO3YMaWlpun/Tp09Hp06dkJaWhv79+9v3JMmlOOpaN3DgQPzzzz8oKyvTbTt9+jSkUqneQwGbctgSdUQ1zJgxQwQFBYnk5GSRk5Oj+1dRUaErM336dNG6dWuxc+dOcfDgQRETEyNiYmL0XufMmTPiyJEj4sknnxQdO3YUR44cEUeOHBFKpVIIIYRarRZ9+vQRt99+uzh8+LA4ePCg6N+/v4iNjXXo+ZJrcFS727Fjh5BIJCIhIUGcPn1aHDp0SAwfPlxERkbqvRc1fLZoc8eOHRNNmzYVkyZN0nuN/Px8XZnMzEzh5+cnXnjhBXHixAmxdOlSIZPJRGJiokPPl5zPUW3u66+/Fl5eXmLp0qV6ZYqKihx6vuQaHNXuauLq7p7LUW2utLRUtGzZUowbN04cP35c7N69W3To0EFMmzbNbufGIJ2cBoDRf6tWrdKVuXr1qnjqqadESEiI8PPzE/fee6/IycnRe5077rjD6OtkZWXpyly8eFGMHTtWNGrUSDRr1kw88sgjDk2jQK7Dke3um2++Eb179xb+/v6iadOmYvTo0eLEiRMOOlNyFbZoc/Hx8UZfIzIyUu+9du3aJXr16iW8vb1F27Zt9d6DPIej2pyp6+CUKVMcd7LkMhx5rauOQbrncmSbO3HihBg6dKjw9fUVLVu2FHPnzrVrp4vk3xMkIiIiIiIiIifjnHQiIiIiIiIiF8EgnYiIiIiIiMhFMEgnIiIiIiIichEM0omIiIiIiIhcBIN0IiIiIiIiIhfBIJ2IiIiIiIjIRTBIJyIiIiIiInIRDNKJiIiIiIiIXASDdCIiIiIiIiIXwSCdiIjIwzzyyCOQSCSQSCSQy+Vo1qwZYmNjsXLlSmg0GotfZ/Xq1QgODrZfRYmIiDwQg3QiIiIPNGLECOTk5OD8+fP45ZdfMHjwYMyePRt33303rl275uzqEREReSwG6URERB5IoVAgPDwcLVq0QJ8+ffDyyy9j06ZN+OWXX7B69WoAwPvvv4/u3bvD398frVq1wlNPPYWysjIAQHJyMh599FEUFxfreuUXLlwIAFAqlXj++efRokUL+Pv7o3///khOTnbOiRIREbkZBulEREQEABgyZAh69uyJ77//HgAglUrx8ccf4/jx4/jvf/+LnTt34v/+7/8AALfccgs+/PBDBAYGIicnBzk5OXj++ecBALNmzUJKSgrWrVuHP//8E/fffz9GjBiBM2fOOO3ciIiI3IVECCGcXQkiIiJynEceeQRFRUX48ccfDfY9+OCD+PPPP5GRkWGw79tvv8X06dNRUFAA4Pqc9GeffRZFRUW6MtnZ2Wjbti2ys7PRvHlz3fahQ4ciOjoab731ls3Ph4iIqCHxcnYFiIiIyHUIISCRSAAAv/76KxYtWoSTJ0+ipKQE165dQ2VlJSoqKuDn52f0+GPHjkGtVqNjx45625VKJRo3bmz3+hMREbk7BulERESkc+LECURFReH8+fO4++67MWPGDLz55psIDQ3Fvn378Nhjj6GqqspkkF5WVgaZTIZDhw5BJpPp7WvUqJEjToGIiMitMUgnIiIiAMDOnTtx7NgxzJkzB4cOHYJGo8GSJUsglV5fwmbDhg165b29vaFWq/W29e7dG2q1Gvn5+bjtttscVnciIqKGgkE6ERGRB1IqlcjNzYVarUZeXh4SExOxaNEi3H333Zg8eTLS09OhUqnwySefIC4uDvv378fnn3+u9xpt2rRBWVkZduzYgZ49e8LPzw8dO3bEQw89hMmTJ2PJkiXo3bs3Ll26hB07dqBHjx4YNWqUk86YiIjIPXB1dyIiIg+UmJiIiIgItGnTBiNGjMCuXbvw8ccfY9OmTZDJZOjZsyfef/99vPPOO+jWrRu+/vprLFq0SO81brnlFkyfPh3jx49H06ZN8e677wIAVq1ahcmTJ+O5555Dp06dMGbMGPzxxx9o3bq1M06ViIjIrXB1dyIiIiIiIiIXwZ50IiIiIiIiIhfBIJ2IiIiIiIjIRTBIJyIiIiIiInIRDNKJiIiIiIiIXASDdCIiIiIiIiIXwSCdiIiIiIiIyEUwSCciIiIiIiJyEQzSiYiIiIiIiFwEg3QiIiIiIiIiF8EgnYiIiIiIiMhFMEgnIiIiIiIichH/D9cZQ8oxcx9VAAAAAElFTkSuQmCC",
|
||
"text/plain": [
|
||
"<Figure size 1200x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plot_account('200001928')\n",
|
||
"plot_account('366351')\n",
|
||
"plot_account('365966')\n",
|
||
"plot_account('365568')\n",
|
||
"plot_account('200129601')\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 55,
|
||
"id": "31407450-a833-4fce-8b0b-dba1b1de585f",
|
||
"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>Registrar Account - ID</th>\n",
|
||
" <th>Product - Isin</th>\n",
|
||
" <th>n_ruptures</th>\n",
|
||
" <th>obs</th>\n",
|
||
" <th>rupture_ratio</th>\n",
|
||
" <th>max_gap</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>17027</th>\n",
|
||
" <td>200127410</td>\n",
|
||
" <td>FR0010135103</td>\n",
|
||
" <td>434</td>\n",
|
||
" <td>436</td>\n",
|
||
" <td>0.995413</td>\n",
|
||
" <td>295985.420</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17029</th>\n",
|
||
" <td>200127410</td>\n",
|
||
" <td>FR0010148981</td>\n",
|
||
" <td>317</td>\n",
|
||
" <td>319</td>\n",
|
||
" <td>0.993730</td>\n",
|
||
" <td>67134.706</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>68901</th>\n",
|
||
" <td>PRIVATE CLIENT</td>\n",
|
||
" <td>LU0992630599</td>\n",
|
||
" <td>154</td>\n",
|
||
" <td>155</td>\n",
|
||
" <td>0.993548</td>\n",
|
||
" <td>529752.634</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>39099</th>\n",
|
||
" <td>366441</td>\n",
|
||
" <td>FR0010135103</td>\n",
|
||
" <td>142</td>\n",
|
||
" <td>143</td>\n",
|
||
" <td>0.993007</td>\n",
|
||
" <td>439160.588</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>39101</th>\n",
|
||
" <td>366441</td>\n",
|
||
" <td>FR0010148981</td>\n",
|
||
" <td>142</td>\n",
|
||
" <td>143</td>\n",
|
||
" <td>0.993007</td>\n",
|
||
" <td>86246.897</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3083</th>\n",
|
||
" <td>200001928</td>\n",
|
||
" <td>LU0992624949</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>110779.418</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2080</th>\n",
|
||
" <td>200001349</td>\n",
|
||
" <td>FR0010149120</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>23881.992</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3084</th>\n",
|
||
" <td>200001928</td>\n",
|
||
" <td>LU0992625839</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>12675.630</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>31744</th>\n",
|
||
" <td>365095</td>\n",
|
||
" <td>FR0010149120</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>22990.942</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2085</th>\n",
|
||
" <td>200001349</td>\n",
|
||
" <td>FR0010149302</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>412.499</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>65735</th>\n",
|
||
" <td>422329</td>\n",
|
||
" <td>FR0010306142</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>18289.694</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3129</th>\n",
|
||
" <td>200001939</td>\n",
|
||
" <td>LU0592698954</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>57179.957</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2090</th>\n",
|
||
" <td>200001349</td>\n",
|
||
" <td>FR0011269083</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>29403.491</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2086</th>\n",
|
||
" <td>200001349</td>\n",
|
||
" <td>FR0010306142</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>9417.847</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>65730</th>\n",
|
||
" <td>422329</td>\n",
|
||
" <td>FR0010149120</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>20342.726</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2108</th>\n",
|
||
" <td>200001349</td>\n",
|
||
" <td>LU0336083497</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>592.246</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>65618</th>\n",
|
||
" <td>422310</td>\n",
|
||
" <td>FR0010149120</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>6006.071</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>65613</th>\n",
|
||
" <td>422310</td>\n",
|
||
" <td>FR0010135103</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>4258.656</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>31804</th>\n",
|
||
" <td>365096</td>\n",
|
||
" <td>FR0010149120</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>844.519</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>31800</th>\n",
|
||
" <td>365096</td>\n",
|
||
" <td>FR0010148981</td>\n",
|
||
" <td>129</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>0.992308</td>\n",
|
||
" <td>962.783</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Registrar Account - ID Product - Isin n_ruptures obs rupture_ratio \\\n",
|
||
"17027 200127410 FR0010135103 434 436 0.995413 \n",
|
||
"17029 200127410 FR0010148981 317 319 0.993730 \n",
|
||
"68901 PRIVATE CLIENT LU0992630599 154 155 0.993548 \n",
|
||
"39099 366441 FR0010135103 142 143 0.993007 \n",
|
||
"39101 366441 FR0010148981 142 143 0.993007 \n",
|
||
"3083 200001928 LU0992624949 129 130 0.992308 \n",
|
||
"2080 200001349 FR0010149120 129 130 0.992308 \n",
|
||
"3084 200001928 LU0992625839 129 130 0.992308 \n",
|
||
"31744 365095 FR0010149120 129 130 0.992308 \n",
|
||
"2085 200001349 FR0010149302 129 130 0.992308 \n",
|
||
"65735 422329 FR0010306142 129 130 0.992308 \n",
|
||
"3129 200001939 LU0592698954 129 130 0.992308 \n",
|
||
"2090 200001349 FR0011269083 129 130 0.992308 \n",
|
||
"2086 200001349 FR0010306142 129 130 0.992308 \n",
|
||
"65730 422329 FR0010149120 129 130 0.992308 \n",
|
||
"2108 200001349 LU0336083497 129 130 0.992308 \n",
|
||
"65618 422310 FR0010149120 129 130 0.992308 \n",
|
||
"65613 422310 FR0010135103 129 130 0.992308 \n",
|
||
"31804 365096 FR0010149120 129 130 0.992308 \n",
|
||
"31800 365096 FR0010148981 129 130 0.992308 \n",
|
||
"\n",
|
||
" max_gap \n",
|
||
"17027 295985.420 \n",
|
||
"17029 67134.706 \n",
|
||
"68901 529752.634 \n",
|
||
"39099 439160.588 \n",
|
||
"39101 86246.897 \n",
|
||
"3083 110779.418 \n",
|
||
"2080 23881.992 \n",
|
||
"3084 12675.630 \n",
|
||
"31744 22990.942 \n",
|
||
"2085 412.499 \n",
|
||
"65735 18289.694 \n",
|
||
"3129 57179.957 \n",
|
||
"2090 29403.491 \n",
|
||
"2086 9417.847 \n",
|
||
"65730 20342.726 \n",
|
||
"2108 592.246 \n",
|
||
"65618 6006.071 \n",
|
||
"65613 4258.656 \n",
|
||
"31804 844.519 \n",
|
||
"31800 962.783 "
|
||
]
|
||
},
|
||
"execution_count": 55,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. Prepare stock dataset ISIN-by-ISIN\n",
|
||
"stocks_isin = stocks[[\n",
|
||
" \"Registrar Account - ID\", \"Product - Isin\",\n",
|
||
" \"Centralisation Date\", \"Quantity - AUM\"\n",
|
||
"]].copy()\n",
|
||
"\n",
|
||
"stocks_isin[\"Centralisation Date\"] = pd.to_datetime(stocks_isin[\"Centralisation Date\"])\n",
|
||
"stocks_isin = stocks_isin.sort_values(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
|
||
")\n",
|
||
"\n",
|
||
"# 2. Prepare flows dataset ISIN-by-ISIN\n",
|
||
"flows_isin = flows[[\n",
|
||
" \"Registrar Account - ID\", \"Product - Isin\",\n",
|
||
" \"Centralisation Date\", \"Quantity - NetFlows\"\n",
|
||
"]].copy()\n",
|
||
"\n",
|
||
"flows_isin[\"Centralisation Date\"] = pd.to_datetime(flows_isin[\"Centralisation Date\"])\n",
|
||
"\n",
|
||
"flows_isin = flows_isin.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"]\n",
|
||
")[\"Quantity - NetFlows\"].sum().reset_index()\n",
|
||
"\n",
|
||
"# 3. Merge stocks & flows ISIN-by-ISIN\n",
|
||
"merged_isin = stocks_isin.merge(\n",
|
||
" flows_isin,\n",
|
||
" on=[\"Registrar Account - ID\", \"Product - Isin\", \"Centralisation Date\"],\n",
|
||
" how=\"left\"\n",
|
||
")\n",
|
||
"\n",
|
||
"merged_isin[\"Quantity - NetFlows\"] = merged_isin[\"Quantity - NetFlows\"].fillna(0)\n",
|
||
"\n",
|
||
"# 4. Compute expected stock per ISIN for each account\n",
|
||
"merged_isin[\"prev_stock\"] = merged_isin.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
|
||
")[\"Quantity - AUM\"].shift(1)\n",
|
||
"\n",
|
||
"merged_isin[\"prev_netflows\"] = merged_isin.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
|
||
")[\"Quantity - NetFlows\"].shift(1).fillna(0)\n",
|
||
"\n",
|
||
"merged_isin[\"expected_stock\"] = merged_isin[\"prev_stock\"] + merged_isin[\"prev_netflows\"]\n",
|
||
"\n",
|
||
"# 5. Detect ruptures ISIN-by-ISIN (no aggregation)\n",
|
||
"TOL = 1e-6\n",
|
||
"merged_isin[\"gap\"] = merged_isin[\"Quantity - AUM\"] - merged_isin[\"expected_stock\"]\n",
|
||
"merged_isin[\"rupture_flag\"] = (\n",
|
||
" merged_isin[\"prev_stock\"].notna()\n",
|
||
" & (merged_isin[\"gap\"].abs() > TOL)\n",
|
||
")\n",
|
||
"\n",
|
||
"# 6. Summarize ruptures per (Account, ISIN)\n",
|
||
"rupture_isin_summary = merged_isin.groupby(\n",
|
||
" [\"Registrar Account - ID\", \"Product - Isin\"]\n",
|
||
").agg(\n",
|
||
" n_ruptures=(\"rupture_flag\", \"sum\"),\n",
|
||
" obs=(\"rupture_flag\", \"count\"),\n",
|
||
" rupture_ratio=(\"rupture_flag\", \"mean\"),\n",
|
||
" max_gap=(\"gap\", lambda x: x.abs().max())\n",
|
||
").reset_index()\n",
|
||
"\n",
|
||
"# Sort by worst ISIN trajectories\n",
|
||
"rupture_isin_summary = rupture_isin_summary.sort_values(\n",
|
||
" \"rupture_ratio\", ascending=False\n",
|
||
")\n",
|
||
"\n",
|
||
"rupture_isin_summary.head(20)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 56,
|
||
"id": "baa4b6cd-887d-45a6-af27-253a9aa8710f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[]"
|
||
]
|
||
},
|
||
"execution_count": 56,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Strong ruptures (ratio > 0.5 OR huge max_gap)\n",
|
||
"strong = rupture_isin_summary[\n",
|
||
" (rupture_isin_summary[\"rupture_ratio\"] > 0.5)\n",
|
||
" | (rupture_isin_summary[\"max_gap\"] > 50000)\n",
|
||
"]\n",
|
||
"\n",
|
||
"def find_successors(account_id, isin, window_days=15):\n",
|
||
" # Extract rupture dates for (account_id, isin)\n",
|
||
" ruptures = merged_isin[\n",
|
||
" (merged_isin[\"Registrar Account - ID\"] == account_id)\n",
|
||
" & (merged_isin[\"Product - Isin\"] == isin)\n",
|
||
" & (merged_isin[\"rupture_flag\"])\n",
|
||
" ][\"Centralisation Date\"].unique()\n",
|
||
"\n",
|
||
" if len(ruptures) == 0:\n",
|
||
" return []\n",
|
||
"\n",
|
||
" candidates = []\n",
|
||
"\n",
|
||
" for rupture_date in ruptures:\n",
|
||
" start = rupture_date - pd.Timedelta(days=window_days)\n",
|
||
" end = rupture_date + pd.Timedelta(days=window_days)\n",
|
||
"\n",
|
||
" # Look for accounts with strong positive jump at the same time\n",
|
||
" window_df = merged_isin[\n",
|
||
" (merged_isin[\"Centralisation Date\"] >= start)\n",
|
||
" & (merged_isin[\"Centralisation Date\"] <= end)\n",
|
||
" & (merged_isin[\"Product - Isin\"] == isin)\n",
|
||
" ]\n",
|
||
"\n",
|
||
" # Look for positive gap (jump)\n",
|
||
" pos_jumps = window_df[window_df[\"gap\"] > 0]\n",
|
||
"\n",
|
||
" candidates.extend(pos_jumps[\"Registrar Account - ID\"].unique())\n",
|
||
"\n",
|
||
" # Remove self\n",
|
||
" candidates = [c for c in candidates if c != account_id]\n",
|
||
"\n",
|
||
" return list(set(candidates))\n",
|
||
"\n",
|
||
"find_successors(\"200129601\", \"FR0010135103\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 60,
|
||
"id": "0b834da2-f781-476d-84a6-aebb38fb8dac",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1400x700 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"df = merged_isin.copy()\n",
|
||
"\n",
|
||
"# Ajouter année / mois\n",
|
||
"df[\"year\"] = df[\"Centralisation Date\"].dt.year\n",
|
||
"df[\"month\"] = df[\"Centralisation Date\"].dt.month\n",
|
||
"\n",
|
||
"# 1. Nombre total de lignes par mois\n",
|
||
"total = df.groupby([\"year\", \"month\"]).size().reset_index(name=\"total_lines\")\n",
|
||
"\n",
|
||
"# 2. Nombre de ruptures par mois\n",
|
||
"ruptures = df[df[\"rupture_flag\"]].groupby([\"year\", \"month\"]).size().reset_index(name=\"n_ruptures\")\n",
|
||
"\n",
|
||
"# 3. Merge pour obtenir total + ruptures\n",
|
||
"ratio = total.merge(ruptures, on=[\"year\",\"month\"], how=\"left\")\n",
|
||
"ratio[\"n_ruptures\"] = ratio[\"n_ruptures\"].fillna(0)\n",
|
||
"\n",
|
||
"# 4. Proportion (en %)\n",
|
||
"ratio[\"rupture_ratio\"] = ratio[\"n_ruptures\"] / ratio[\"total_lines\"]\n",
|
||
"\n",
|
||
"# 5. Pivot pour heatmap\n",
|
||
"heatmap_ratio = ratio.pivot(index=\"year\", columns=\"month\", values=\"rupture_ratio\").fillna(0)\n",
|
||
"\n",
|
||
"# 6. Plot\n",
|
||
"plt.figure(figsize=(14, 7))\n",
|
||
"sns.heatmap(\n",
|
||
" heatmap_ratio, \n",
|
||
" cmap=\"Reds\",\n",
|
||
" linewidths=.3,\n",
|
||
" linecolor=\"grey\",\n",
|
||
" annot=True,\n",
|
||
" fmt=\".2%\",\n",
|
||
" cbar_kws={'label': 'Proportion de ruptures'}\n",
|
||
")\n",
|
||
"\n",
|
||
"plt.title(\"Heatmap de la proportion de ruptures (par année et mois)\", fontsize=16)\n",
|
||
"plt.xlabel(\"Mois\")\n",
|
||
"plt.ylabel(\"Année\")\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 63,
|
||
"id": "86d2a91c-d8d8-416c-8dc4-dc3f4ae7ca90",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Requirement already satisfied: plotly in /opt/python/lib/python3.13/site-packages (6.3.1)\n",
|
||
"Requirement already satisfied: narwhals>=1.15.1 in /opt/python/lib/python3.13/site-packages (from plotly) (2.8.0)\n",
|
||
"Requirement already satisfied: packaging in /opt/python/lib/python3.13/site-packages (from plotly) (25.0)\n",
|
||
"\n",
|
||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m25.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.3\u001b[0m\n",
|
||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.plotly.v1+json": {
|
||
"config": {
|
||
"plotlyServerURL": "https://plot.ly"
|
||
},
|
||
"data": [
|
||
{
|
||
"customdata": {
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"
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import plotly.express as px\n",
|
||
"\n",
|
||
"# On ajoute une colonne en % pour l’affichage\n",
|
||
"country_stats_plot = country_stats.copy()\n",
|
||
"country_stats_plot[\"rupture_pct\"] = country_stats_plot[\"rupture_ratio\"] * 100\n",
|
||
"\n",
|
||
"# Tri décroissant par proportion de ruptures\n",
|
||
"country_stats_plot = country_stats_plot.sort_values(\"rupture_ratio\", ascending=False)\n",
|
||
"\n",
|
||
"fig = px.bar(\n",
|
||
" country_stats_plot,\n",
|
||
" x=\"country\",\n",
|
||
" y=\"rupture_ratio\",\n",
|
||
" hover_data={\n",
|
||
" \"rupture_pct\": ':.2f',\n",
|
||
" \"ruptures\": True,\n",
|
||
" \"total_obs\": True,\n",
|
||
" \"rupture_ratio\": False, # on cache la version décimale\n",
|
||
" },\n",
|
||
" labels={\n",
|
||
" \"country\": \"Pays\",\n",
|
||
" \"rupture_ratio\": \"Proportion de ruptures\",\n",
|
||
" \"rupture_pct\": \"% de ruptures\",\n",
|
||
" \"ruptures\": \"Nb de ruptures\",\n",
|
||
" \"total_obs\": \"Nb d'observations\"\n",
|
||
" },\n",
|
||
" title=\"Proportion de ruptures par pays (avec volumes au survol)\"\n",
|
||
")\n",
|
||
"\n",
|
||
"# Format en %\n",
|
||
"fig.update_yaxes(tickformat=\".1%\")\n",
|
||
"\n",
|
||
"fig.update_layout(\n",
|
||
" xaxis_tickangle=-45,\n",
|
||
" bargap=0.2\n",
|
||
")\n",
|
||
"\n",
|
||
"fig.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 69,
|
||
"id": "95bc353d-e883-4989-aaca-1b3c9b51ee5a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"=== BASIC NUMERIC STATS ===\n",
|
||
"count 12501.000000\n",
|
||
"mean 0.069464\n",
|
||
"std 0.137360\n",
|
||
"min 0.000000\n",
|
||
"1% 0.000000\n",
|
||
"5% 0.000000\n",
|
||
"10% 0.000000\n",
|
||
"25% 0.000000\n",
|
||
"50% 0.013699\n",
|
||
"75% 0.069767\n",
|
||
"90% 0.213497\n",
|
||
"95% 0.333333\n",
|
||
"99% 0.720000\n",
|
||
"max 0.992308\n",
|
||
"Name: rupture_ratio, dtype: float64\n",
|
||
"rupture_bucket\n",
|
||
"0–0.1% 12\n",
|
||
"0.1–1% 619\n",
|
||
"1–5% 3078\n",
|
||
"5–10% 1189\n",
|
||
"10–25% 1463\n",
|
||
"25–50% 703\n",
|
||
"50–100% 311\n",
|
||
"0% 5126\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"=== DISTRIBUTION (PERCENT) ===\n",
|
||
"rupture_bucket\n",
|
||
"0–0.1% 0.10\n",
|
||
"0.1–1% 4.95\n",
|
||
"1–5% 24.62\n",
|
||
"5–10% 9.51\n",
|
||
"10–25% 11.70\n",
|
||
"25–50% 5.62\n",
|
||
"50–100% 2.49\n",
|
||
"0% 41.00\n",
|
||
"Name: count, dtype: float64\n",
|
||
"\n",
|
||
"Comptes avec 0 rupture = 5126 (41.00%)\n",
|
||
"Comptes avec rupture_ratio > 75% = 99 (0.79%)\n",
|
||
"Comptes avec rupture_ratio > 10% = 2477 (19.81%)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"rs = rupture_summary.copy()\n",
|
||
"\n",
|
||
"# 1. Stats numériques classiques\n",
|
||
"print(\"\\n=== BASIC NUMERIC STATS ===\")\n",
|
||
"print(rs[\"rupture_ratio\"].describe(percentiles=[0.01, 0.05, 0.10, 0.25, 0.5, 0.75, 0.90, 0.95, 0.99]))\n",
|
||
"\n",
|
||
"\n",
|
||
"# 2. Distribution par classes (bins)\n",
|
||
"\n",
|
||
"rs[\"rupture_bucket\"] = pd.cut(\n",
|
||
" rs[\"rupture_ratio\"],\n",
|
||
" bins=[0, 0.001, 0.01, 0.05, 0.10, 0.25, 0.50, 1.01],\n",
|
||
" labels=[\n",
|
||
" \"0–0.1%\",\n",
|
||
" \"0.1–1%\",\n",
|
||
" \"1–5%\",\n",
|
||
" \"5–10%\",\n",
|
||
" \"10–25%\",\n",
|
||
" \"25–50%\",\n",
|
||
" \"50–100%\"\n",
|
||
" ],\n",
|
||
" include_lowest=True\n",
|
||
")\n",
|
||
"\n",
|
||
"# Ajouter la catégorie \"0%\"\n",
|
||
"rs[\"rupture_bucket\"] = rs[\"rupture_bucket\"].cat.add_categories(\"0%\")\n",
|
||
"\n",
|
||
"# Remplacer les 0% exacts\n",
|
||
"rs.loc[rs[\"rupture_ratio\"] == 0, \"rupture_bucket\"] = \"0%\"\n",
|
||
"\n",
|
||
"bucket_counts = rs[\"rupture_bucket\"].value_counts().sort_index()\n",
|
||
"print(bucket_counts)\n",
|
||
"\n",
|
||
"\n",
|
||
"# 3. Pourcentages\n",
|
||
"bucket_percent = (bucket_counts / len(rs) * 100).round(2)\n",
|
||
"\n",
|
||
"print(\"\\n=== DISTRIBUTION (PERCENT) ===\")\n",
|
||
"print(bucket_percent)\n",
|
||
"\n",
|
||
"\n",
|
||
"# 4. Nombre de comptes totalement propres\n",
|
||
"no_rupture = (rs[\"n_ruptures\"] == 0).sum()\n",
|
||
"print(f\"\\nComptes avec 0 rupture = {no_rupture} ({no_rupture/len(rs)*100:.2f}%)\")\n",
|
||
"\n",
|
||
"# 5. Comptes extrêmement problématiques\n",
|
||
"severe = (rs[\"rupture_ratio\"] > 0.75).sum()\n",
|
||
"print(f\"Comptes avec rupture_ratio > 75% = {severe} ({severe/len(rs)*100:.2f}%)\")\n",
|
||
"\n",
|
||
"medium = (rs[\"rupture_ratio\"] > 0.10).sum()\n",
|
||
"print(f\"Comptes avec rupture_ratio > 10% = {medium} ({medium/len(rs)*100:.2f}%)\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 70,
|
||
"id": "425b36d0-c92a-4405-be28-35b1fc292fec",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Nombre total de ruptures en 2021 : 71090\n",
|
||
"\n",
|
||
"=== RUPTURES 2021 — POSITIVES vs NEGATIVES ===\n",
|
||
"gap_type\n",
|
||
"negative 38092\n",
|
||
"positive 32998\n",
|
||
"Name: count, dtype: int64\n",
|
||
"\n",
|
||
"(%)\n",
|
||
"gap_type\n",
|
||
"negative 53.58%\n",
|
||
"positive 46.42%\n",
|
||
"Name: proportion, dtype: object\n",
|
||
"\n",
|
||
"=== STATISTIQUES DES GAPS ===\n",
|
||
" count mean std min 25% \\\n",
|
||
"gap_type \n",
|
||
"negative 38092.0 -7150.538497 99000.868201 -5.257530e+06 -438.04975 \n",
|
||
"positive 32998.0 9865.849003 139488.218647 1.000000e-05 22.76075 \n",
|
||
"\n",
|
||
" 50% 75% max \n",
|
||
"gap_type \n",
|
||
"negative -57.9725 -2.74375 -6.000000e-06 \n",
|
||
"positive 159.3720 1007.14050 1.814960e+07 \n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 1000x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# --- 1. Filtres de base ---\n",
|
||
"merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
|
||
"\n",
|
||
"# Filtrer uniquement l'année 2021\n",
|
||
"ruptures_2021 = merged[(merged[\"year\"] == 2021) & (merged[\"rupture_flag\"] == True)].copy()\n",
|
||
"\n",
|
||
"print(\"Nombre total de ruptures en 2021 :\", len(ruptures_2021))\n",
|
||
"\n",
|
||
"# --- 2. Classification du type de gap ---\n",
|
||
"ruptures_2021[\"gap_type\"] = np.where(ruptures_2021[\"gap\"] > 0, \"positive\", \"negative\")\n",
|
||
"\n",
|
||
"# --- 3. Statistiques globales ---\n",
|
||
"gap_counts = ruptures_2021[\"gap_type\"].value_counts()\n",
|
||
"gap_percent = ruptures_2021[\"gap_type\"].value_counts(normalize=True) * 100\n",
|
||
"\n",
|
||
"print(\"\\n=== RUPTURES 2021 — POSITIVES vs NEGATIVES ===\")\n",
|
||
"print(gap_counts)\n",
|
||
"print(\"\\n(%)\")\n",
|
||
"print(gap_percent.map(lambda x: f\"{x:.2f}%\"))\n",
|
||
"\n",
|
||
"# --- 4. Intensité des écarts ---\n",
|
||
"intensity_stats = ruptures_2021.groupby(\"gap_type\")[\"gap\"].describe()\n",
|
||
"print(\"\\n=== STATISTIQUES DES GAPS ===\")\n",
|
||
"print(intensity_stats)\n",
|
||
"\n",
|
||
"# --- 5. Visualisation rapide ---\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"plt.figure(figsize=(10,5))\n",
|
||
"sns.histplot(data=ruptures_2021, x=\"gap\", hue=\"gap_type\", bins=80, kde=True)\n",
|
||
"plt.xlim(-merged[\"gap\"].abs().max(), merged[\"gap\"].abs().max())\n",
|
||
"plt.title(\"Distribution des gaps de rupture en 2021\")\n",
|
||
"plt.xlabel(\"Gap (AUM_{t} − Expected AUM_{t})\")\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 75,
|
||
"id": "df9e0005-93f2-4885-baef-2e54921a42f4",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"=== RUPTURE SUMMARY (in %) ===\n",
|
||
" total_obs rupture_count rupture_ratio\n",
|
||
"period \n",
|
||
"after_2021 935390 242411 25.92\n",
|
||
"before_2021 3414943 428083 12.54\n",
|
||
"during_2021 529964 71090 13.41\n",
|
||
"\n",
|
||
"=== GAP POSITIVE / NEGATIVE DISTRIBUTION (in %) ===\n",
|
||
"period period gap_type\n",
|
||
"after_2021 after_2021 negative 60.163524\n",
|
||
" positive 39.836476\n",
|
||
"before_2021 before_2021 negative 62.273905\n",
|
||
" positive 37.726095\n",
|
||
"during_2021 during_2021 negative 53.582782\n",
|
||
" positive 46.417218\n",
|
||
"dtype: float64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# --- 1. ADD YEAR ---\n",
|
||
"merged[\"year\"] = merged[\"Centralisation Date\"].dt.year\n",
|
||
"\n",
|
||
"# --- 2. DEFINE PERIODS ---\n",
|
||
"conditions = [\n",
|
||
" merged[\"year\"] < 2021,\n",
|
||
" merged[\"year\"] == 2021,\n",
|
||
" merged[\"year\"] > 2021\n",
|
||
"]\n",
|
||
"\n",
|
||
"period_labels = [\"before_2021\", \"during_2021\", \"after_2021\"]\n",
|
||
"\n",
|
||
"merged[\"period\"] = np.select(\n",
|
||
" conditions,\n",
|
||
" period_labels,\n",
|
||
" default=\"unknown\"\n",
|
||
")\n",
|
||
"\n",
|
||
"# --- 3. CREATE GAP TYPE & FILTER ONLY RUPTURES ---\n",
|
||
"merged[\"gap_type\"] = np.where(\n",
|
||
" merged[\"gap\"] > 0, \"positive\",\n",
|
||
" np.where(merged[\"gap\"] < 0, \"negative\", \"zero\")\n",
|
||
")\n",
|
||
"\n",
|
||
"ruptures = merged[merged[\"rupture_flag\"] == True].copy()\n",
|
||
"\n",
|
||
"# --- 4. TOTAL OBS PER PERIOD ---\n",
|
||
"total_obs = merged.groupby(\"period\").size().rename(\"total_obs\")\n",
|
||
"\n",
|
||
"# --- 5. TOTAL RUPTURES PER PERIOD ---\n",
|
||
"rupture_counts = ruptures.groupby(\"period\").size().rename(\"rupture_count\")\n",
|
||
"\n",
|
||
"# --- 6. PROPORTION OF RUPTURES ---\n",
|
||
"rupture_ratio = (rupture_counts / total_obs).rename(\"rupture_ratio\")\n",
|
||
"\n",
|
||
"# --- 7. POSITIVE / NEGATIVE GAPS (% among ruptures) ---\n",
|
||
"gap_dist = (\n",
|
||
" ruptures.groupby([\"period\", \"gap_type\"])\n",
|
||
" .size()\n",
|
||
" .groupby(level=0)\n",
|
||
" .apply(lambda x: (x / x.sum()) * 100) # % par période\n",
|
||
")\n",
|
||
"\n",
|
||
"\n",
|
||
"# --- 8. MERGE AND DISPLAY ---\n",
|
||
"summary = pd.concat([total_obs, rupture_counts, rupture_ratio], axis=1)\n",
|
||
"summary[\"rupture_ratio\"] = (summary[\"rupture_ratio\"] * 100).round(2)\n",
|
||
"\n",
|
||
"print(\"\\n=== RUPTURE SUMMARY (in %) ===\")\n",
|
||
"print(summary)\n",
|
||
"\n",
|
||
"print(\"\\n=== GAP POSITIVE / NEGATIVE DISTRIBUTION (in %) ===\")\n",
|
||
"print(gap_dist)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "45a2a748-014d-44a0-87a9-a26bcbc10410",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"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": "3.13.8"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|