{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gs_quant.markets.indices_utils import *\n",
    "from gs_quant.session import Environment, GsSession"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "client = 'CLIENT ID'\n",
    "secret = 'CLIENT SECRET'\n",
    "\n",
    "GsSession.use(Environment.PROD, client_id=client, client_secret=secret, scopes=('read_product_data',))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You may choose any combination of the following regions:\n",
    "\n",
    "* **Americas:** Region.*AMERICAS*\n",
    "* **Asia:** Region.*ASIA*\n",
    "* **EM:** Region.*EM*\n",
    "* **Europe:** Region.*EUROPE*\n",
    "* **Global:** Region.*GLOBAL*\n",
    "\n",
    "These options will work with any of the following functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "get_flagship_baskets(region=[Region.ASIA])\n",
    "\n",
    "get_flagships_with_assets(identifiers=['AAPL UW'], region=[Region.AMERICAS])\n",
    "\n",
    "get_flagships_performance(region=[Region.EUROPE, Region.GLOBAL])\n",
    "\n",
    "get_flagships_constituents(region=[Region.EM])"
   ]
  }
 ],
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   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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