obb_02-08_modules_futures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 02.08 Modules: Futures\n",
    "\n",
    "> https://docs.openbb.co/sdk/guides/intros/futures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from openbb_terminal.sdk import openbb\n",
    "import pandas as pd\n",
    "# %matplotlib inline (uncomment if using a Jupyter Interactive Terminal or Notebook)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Ticker</th>\n",
       "      <th>Description</th>\n",
       "      <th>Exchange</th>\n",
       "      <th>Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>GE</td>\n",
       "      <td>Eurodollar Futures</td>\n",
       "      <td>CME</td>\n",
       "      <td>currency</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>GLB</td>\n",
       "      <td>One-Month Eurodollar Futures</td>\n",
       "      <td>CME</td>\n",
       "      <td>currency</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>SED</td>\n",
       "      <td>SED (SOFR-Eurodollar) Spread Futures</td>\n",
       "      <td>CME</td>\n",
       "      <td>bonds</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Ticker                           Description Exchange  Category\n",
       "66      GE                    Eurodollar Futures      CME  currency\n",
       "67     GLB          One-Month Eurodollar Futures      CME  currency\n",
       "152    SED  SED (SOFR-Eurodollar) Spread Futures      CME     bonds"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "openbb.futures.search(description = 'Eurodollar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Futures</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>95.205299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-02-01</th>\n",
       "      <td>95.077499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-01</th>\n",
       "      <td>94.970001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>94.925003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-05-01</th>\n",
       "      <td>94.910004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-01</th>\n",
       "      <td>94.904999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-09-01</th>\n",
       "      <td>95.035004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-01</th>\n",
       "      <td>95.400002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-01</th>\n",
       "      <td>95.930000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>96.394997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-01</th>\n",
       "      <td>96.690002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>96.830002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-03-01</th>\n",
       "      <td>96.900002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-06-01</th>\n",
       "      <td>96.940002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-09-01</th>\n",
       "      <td>96.959999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-12-01</th>\n",
       "      <td>96.964996</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Futures\n",
       "2023-01-01  95.205299\n",
       "2023-02-01  95.077499\n",
       "2023-03-01  94.970001\n",
       "2023-04-01  94.925003\n",
       "2023-05-01  94.910004\n",
       "2023-06-01  94.904999\n",
       "2023-09-01  95.035004\n",
       "2023-12-01  95.400002\n",
       "2024-03-01  95.930000\n",
       "2024-06-01  96.394997\n",
       "2024-09-01  96.690002\n",
       "2024-12-01  96.830002\n",
       "2025-03-01  96.900002\n",
       "2025-06-01  96.940002\n",
       "2025-09-01  96.959999\n",
       "2025-12-01  96.964996"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eurodollar = openbb.futures.curve('GE')\n",
    "eurodollar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "openbb.futures.curve_chart(symbol = 'GE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "1 Failed download:\n",
      "- L=F: No data found for this date range, symbol may be delisted\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">Adj Close</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Close</th>\n",
       "      <th colspan=\"2\" halign=\"left\">High</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Low</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Open</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Volume</th>\n",
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       "      <th></th>\n",
       "      <th>C</th>\n",
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       "      <th>Date</th>\n",
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       "      <th>2020-08-21 00:00:00</th>\n",
       "      <td>341.0</td>\n",
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      "text/plain": [
       "                    Adj Close      Close        High         Low        Open  \\\n",
       "                            C   L      C   L       C   L       C   L       C   \n",
       "Date                                                                           \n",
       "2020-08-21 00:00:00     341.0 NaN  341.0 NaN  341.75 NaN  338.75 NaN  339.25   \n",
       "\n",
       "                         Volume      \n",
       "                      L       C   L  \n",
       "Date                                 \n",
       "2020-08-21 00:00:00 NaN  334609 NaN  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "openbb.futures.historical(symbols = 'CL')"
   ]
  }
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