{ "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 basket types:\n", "\n", "* **Custom Basket:** BasketType.*CUSTOM_BASKET*\n", "* **Research Basket:** BasketType.*RESEARCH_BASKET*\n", "\n", "These options will work with any of the following functions:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "get_flagship_baskets(basket_type=[BasketType.CUSTOM_BASKET])\n", "\n", "get_flagships_with_assets(identifiers=['AAPL UW'], basket_type=[BasketType.CUSTOM_BASKET])\n", "\n", "get_flagships_performance(basket_type=[BasketType.RESEARCH_BASKET])\n", "\n", "get_flagships_constituents(basket_type=[BasketType.RESEARCH_BASKET])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 }