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    "source": [
      "![QuantConnect Logo](https://cdn.quantconnect.com/web/i/qc_notebook_logo_rev0.png)\n",
      "## Welcome to The QuantConnect Research Page\n",
      "#### Refer to this page for documentation https://www.quantconnect.com/docs#Introduction-to-Jupyter\n",
      "#### Contribute to this template file https://github.com/QuantConnect/Lean/blob/master/Research/BasicCSharpQuantBookTemplate.ipynb"
    ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## QuantBook Basics\n",
    "\n",
    "### Start QuantBook\n",
    "- Load \"QuantConnect.csx\" with all the basic imports\n",
    "- Create a QuantBook instance"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {},
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   "source": [
    "#load \"QuantConnect.csx\"\n",
    "var qb = new QuantBook();\n",
    "\n",
    "// Selecting asset data\n",
    "var spy = qb.AddEquity(\"SPY\");\n",
    "var eur = qb.AddForex(\"EURUSD\");\n",
    "var btc = qb.AddCrypto(\"BTCUSD\");\n",
    "var fxv = qb.AddData<FxcmVolume>(\"EURUSD_Vol\", Resolution.Hour);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Historical Data Requests\n",
    "\n",
    "We can use the QuantConnect API to make Historical Data Requests. The data will be presented as multi-index pandas.DataFrame where the first index is the Symbol.\n",
    "\n",
    "For more information, please follow the [link](https://www.quantconnect.com/docs#Historical-Data-Historical-Data-Requests)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "// Gets historical data from the subscribed assets, the last 360 datapoints with daily resolution\n",
    "var h1 = qb.History(qb.Securities.Keys, 360, Resolution.Daily);\n",
    "Console.WriteLine(string.Join(\",\", h1.SelectMany(slice => slice.Keys).Distinct()))"
   ]
  }
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