OpenBB/gamestonk_terminal/reports/econ_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "another-behalf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import most generic modules\n",
    "import importlib\n",
    "import pathlib\n",
    "import os\n",
    "import sys\n",
    "from datetime import datetime\n",
    "from IPython.display import display, Markdown\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "module_path = os.path.abspath(os.path.join('../..'))\n",
    "\n",
    "if module_path not in sys.path:\n",
    "    sys.path.append(module_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "racial-graduation",
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "report_name=f\"{datetime.now().strftime('%Y%m%d_%H%M%S')}_econ_data\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "commercial-cargo",
   "metadata": {},
   "outputs": [],
   "source": [
    "display(Markdown(f\"# Economy Data - {datetime.now().strftime('%Y/%m/%d %H:%M:%S')}\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "informative-behavior",
   "metadata": {},
   "source": [
    "## Dow Jones - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "stylish-elite",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^DJI\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fifty-happiness",
   "metadata": {},
   "source": [
    "## Dow Jones - 1 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "identical-classification",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^DJI\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=360, low_trend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "boxed-turning",
   "metadata": {},
   "source": [
    "## S&P 500 - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "threaded-language",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^GSPC\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fleet-transparency",
   "metadata": {},
   "source": [
    "## Market Volatility (VIX) - 2 year trend with  20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "disturbed-workstation",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^VIX\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=False, time_delta=720, high_trend=False, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "civilian-november",
   "metadata": {},
   "source": [
    "## Market Volatility (VIX) - 1 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "several-inventory",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^VIX\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=False, time_delta=360, high_trend=False, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bizarre-record",
   "metadata": {},
   "source": [
    "## Yield on 5-Year US Treasury Notes - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "military-temperature",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^FVX\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=False, time_delta=720, low_trend=False, high_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "greater-party",
   "metadata": {},
   "source": [
    "## Yield on 10-Year US Treasury Notes - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aboriginal-violin",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^TNX\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=False, time_delta=720, low_trend=False, high_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "continent-sally",
   "metadata": {},
   "source": [
    "## Yield on 30-Year US Treasury Notes - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "formed-heating",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"^TYX\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=False, time_delta=720, low_trend=False, high_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "handled-insurance",
   "metadata": {},
   "source": [
    "## Gold - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "advisory-johnston",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"GLD\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "played-writer",
   "metadata": {},
   "source": [
    "## Silver - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "light-harvest",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"SLV\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "floral-giant",
   "metadata": {},
   "source": [
    "## Euro vs US Dollar - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "corrected-estimate",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"FXE\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "neither-montana",
   "metadata": {},
   "source": [
    "## Yen vs US Dollar - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "middle-geneva",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"FXY\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "theoretical-grammar",
   "metadata": {},
   "source": [
    "## Energy - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "swedish-thickness",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"XLE\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gentle-humor",
   "metadata": {},
   "source": [
    "## Crude Oil - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "instructional-serve",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"CL=F\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "classical-listening",
   "metadata": {},
   "source": [
    "## Real Estate - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "enclosed-administration",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"XLRE\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "turned-percentage",
   "metadata": {},
   "source": [
    "## Real Estate - 1 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sharing-removal",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"VNQ\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=360, low_trend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "swedish-happiness",
   "metadata": {},
   "source": [
    "## Financials - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "beginning-aspect",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"XLF\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "restricted-glucose",
   "metadata": {},
   "source": [
    "## Financials - 1 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "personal-whole",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"XLF\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=360, low_trend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "detailed-strike",
   "metadata": {},
   "source": [
    "## Materials - 2 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "negative-mitchell",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"XLB\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=720, low_trend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "boolean-rotation",
   "metadata": {},
   "source": [
    "## Materials - 1 year trend with 20, 50 and 200 day SMA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "settled-orange",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gamestonk_terminal.economy import econ_data_helper\n",
    "\n",
    "econ_data_helper.draw_graph(\"XLB\", \"\", line_type=\"line\", draw_mas=(20,50,200), draw_volume=True, time_delta=360, low_trend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "premium-transportation",
   "metadata": {},
   "outputs": [],
   "source": [
    "!jupyter nbconvert {report_name + \".ipynb\"} --to html --no-input"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "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": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}