{
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   "source": [
    "![Finance Toolkit](https://github.com/JerBouma/FinanceToolkit/assets/46355364/198d47bd-e1b3-492d-acc4-5d9f02d1d009)\n",
    "\n",
    "**The FinanceToolkit** is an open-source toolkit in which all relevant financial ratios (100+), indicators and performance measurements are written down in the most simplistic way allowing for complete transparency of the calculation method. This allows you to not have to rely on metrics from other providers and, given a financial statement, allow for efficient manual calculations. This leads to one uniform method of calculation being applied that is available and understood by everyone."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2937a8f2",
   "metadata": {},
   "source": [
    "# Installation\n",
    "To install the FinanceToolkit it simply requires the following:\n",
    "\n",
    "```\n",
    "pip install financetoolkit -U\n",
    "```\n",
    "\n",
    "From within Python use:\n",
    "\n",
    "```python\n",
    "from financetoolkit import Toolkit\n",
    "```\n",
    " \n",
    "To be able to get started, you need to obtain an API Key from FinancialModelingPrep. This is used to gain access to 30+ years of financial statement both annually and quarterly. Note that the Free plan is limited to 250 requests each day, 5 years of data and only features companies listed on US exchanges.\n",
    "\n",
    "___ \n",
    "\n",
    "<b><div align=\"center\">Obtain an API Key from FinancialModelingPrep <a href=\"https://www.jeroenbouma.com/fmp\" target=\"_blank\">here</a>.</div></b>\n",
    "___\n",
    "\n",
    "Through the link you are able to subscribe for the free plan and also premium plans at a **15% discount**. This is an affiliate link and thus supports the project at the same time. I have chosen FinancialModelingPrep as a source as I find it to be the most transparent, reliable and at an affordable price. When you notice that data is inaccurate or have any other issue related to the data, note that I simply provide the means to access this data and I am not responsible for the accuracy of the data itself. For this, use <a href=\"https://site.financialmodelingprep.com/contact\" target=\"_blank\">their contact form</a> or provide the data yourself. \n",
    "\n",
    "The current Notebook is revolved around the Techniclas class. If you are interested in the other modules, you can find the related Notebooks below. **Please view the documentation <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/docs/technicals\" target=\"_blank\">here</a> to find all the available indicators.**\n",
    "\n",
    "<style>\n",
    ".button {\n",
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    "}\n",
    "</style>\n",
    "\n",
    "<div style=\"display: flex; justify-content: space-between;\" class=\"show-on-desktop\">\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/getting-started\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Toolkit</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/discovery-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Discovery</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/ratios-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Ratios</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/models-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Models</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/options-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Options</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/technicals-module\" target=\"_blank\" class=\"button button-current\" style=\"flex: 1;margin-right:5px\">Technicals</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//fixedincome-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Fixed income</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/risk-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Risk</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/performance-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Performance</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit/economics-module\" target=\"_blank\" class=\"button\" style=\"flex: 1; \">Economics</a>\n",
    "</div>"
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  {
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   "execution_count": 1,
   "id": "11269a00",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from financetoolkit import Toolkit\n",
    "\n",
    "API_KEY = \"FINANCIAL_MODELING_PREP_API_KEY\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "a3f7fc24",
   "metadata": {},
   "source": [
    "**Initializing only is required once.** This is the case for any function so once you have obtained a balance sheet statement, it will be stored accordingly which means that requests to FinancialModelingPrep, the source used in these examples, are kept to a minimum. Note that in this example annual data is used but by adding `quarterly=True` to the Toolkit initialization, quarterly data can also be collected. Note that this requires a Premium subscription from FMP."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b3507cb1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize the Toolkit with company tickers\n",
    "companies = Toolkit(\n",
    "    [\"MSFT\", \"ASML\", \"MU\", \"AMZN\"],\n",
    "    api_key=API_KEY,\n",
    "    start_date=\"2023-01-01\",\n",
    "    end_date=\"2024-01-01\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f0cd04d",
   "metadata": {},
   "source": [
    "After initialization of `Toolkit`, you can get access to the Technicals module which includes a variety of well-known technical indicators. This can be done by calling the `technicals` property. Some of the technical indicators you can find here are for example a collection of all technical indicators."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3ac2e227",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Obtaining historical data: 100%|██████████| 5/5 [00:00<00:00,  9.49it/s]\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">McClellan Oscillator</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Advancers - Decliners</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Keltner Channel Middle</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Keltner Channel Lower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>MSFT</th>\n",
       "      <th>ASML</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>ASML</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>...</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ASML</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ASML</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MU</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>-0.4868</td>\n",
       "      <td>6.9243</td>\n",
       "      <td>-1.4919</td>\n",
       "      <td>-4.7495</td>\n",
       "      <td>-1.0564</td>\n",
       "      <td>237.47</td>\n",
       "      <td>544.14</td>\n",
       "      <td>50.02</td>\n",
       "      <td>85.82</td>\n",
       "      <td>375.12</td>\n",
       "      <td>...</td>\n",
       "      <td>85.9672</td>\n",
       "      <td>555.6601</td>\n",
       "      <td>378.582</td>\n",
       "      <td>239.4149</td>\n",
       "      <td>50.8278</td>\n",
       "      <td>79.8772</td>\n",
       "      <td>516.8473</td>\n",
       "      <td>359.8078</td>\n",
       "      <td>225.7049</td>\n",
       "      <td>47.2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>-1.1123</td>\n",
       "      <td>6.8877</td>\n",
       "      <td>-1.2982</td>\n",
       "      <td>-4.6069</td>\n",
       "      <td>-1.094</td>\n",
       "      <td>227.09</td>\n",
       "      <td>565.19</td>\n",
       "      <td>53.83</td>\n",
       "      <td>85.14</td>\n",
       "      <td>378.01</td>\n",
       "      <td>...</td>\n",
       "      <td>85.8569</td>\n",
       "      <td>556.9308</td>\n",
       "      <td>378.5058</td>\n",
       "      <td>237.7716</td>\n",
       "      <td>51.2281</td>\n",
       "      <td>80.0683</td>\n",
       "      <td>519.2651</td>\n",
       "      <td>360.9529</td>\n",
       "      <td>224.3644</td>\n",
       "      <td>47.4224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>-1.9781</td>\n",
       "      <td>6.5495</td>\n",
       "      <td>-1.1011</td>\n",
       "      <td>-4.5629</td>\n",
       "      <td>-1.3362</td>\n",
       "      <td>220.36</td>\n",
       "      <td>559.74</td>\n",
       "      <td>54.33</td>\n",
       "      <td>83.12</td>\n",
       "      <td>373.7</td>\n",
       "      <td>...</td>\n",
       "      <td>85.492</td>\n",
       "      <td>557.3053</td>\n",
       "      <td>377.865</td>\n",
       "      <td>235.45</td>\n",
       "      <td>51.6417</td>\n",
       "      <td>79.8805</td>\n",
       "      <td>520.4725</td>\n",
       "      <td>361.3879</td>\n",
       "      <td>222.3986</td>\n",
       "      <td>47.9045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>-2.579</td>\n",
       "      <td>7.7386</td>\n",
       "      <td>-0.8246</td>\n",
       "      <td>-4.3545</td>\n",
       "      <td>-1.1082</td>\n",
       "      <td>222.95</td>\n",
       "      <td>589.96</td>\n",
       "      <td>56.38</td>\n",
       "      <td>86.08</td>\n",
       "      <td>382.27</td>\n",
       "      <td>...</td>\n",
       "      <td>85.5704</td>\n",
       "      <td>561.6593</td>\n",
       "      <td>378.4523</td>\n",
       "      <td>233.7834</td>\n",
       "      <td>52.2735</td>\n",
       "      <td>79.8361</td>\n",
       "      <td>522.9093</td>\n",
       "      <td>360.8052</td>\n",
       "      <td>220.9048</td>\n",
       "      <td>48.3906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>-2.9713</td>\n",
       "      <td>9.9781</td>\n",
       "      <td>-0.6046</td>\n",
       "      <td>-4.0905</td>\n",
       "      <td>-0.9186</td>\n",
       "      <td>225.12</td>\n",
       "      <td>615.19</td>\n",
       "      <td>55.97</td>\n",
       "      <td>87.36</td>\n",
       "      <td>382.05</td>\n",
       "      <td>...</td>\n",
       "      <td>85.809</td>\n",
       "      <td>568.7967</td>\n",
       "      <td>378.932</td>\n",
       "      <td>232.6283</td>\n",
       "      <td>52.7663</td>\n",
       "      <td>79.9633</td>\n",
       "      <td>526.8439</td>\n",
       "      <td>360.4434</td>\n",
       "      <td>219.4697</td>\n",
       "      <td>48.7563</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-22</th>\n",
       "      <td>6.4246</td>\n",
       "      <td>27.985</td>\n",
       "      <td>2.7915</td>\n",
       "      <td>4.4264</td>\n",
       "      <td>9.1062</td>\n",
       "      <td>374.58</td>\n",
       "      <td>752.53</td>\n",
       "      <td>86.37</td>\n",
       "      <td>153.42</td>\n",
       "      <td>473.65</td>\n",
       "      <td>...</td>\n",
       "      <td>150.2291</td>\n",
       "      <td>729.5707</td>\n",
       "      <td>466.2563</td>\n",
       "      <td>372.3543</td>\n",
       "      <td>80.3988</td>\n",
       "      <td>143.5812</td>\n",
       "      <td>702.3497</td>\n",
       "      <td>456.8944</td>\n",
       "      <td>360.8239</td>\n",
       "      <td>75.6059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>6.2577</td>\n",
       "      <td>28.6891</td>\n",
       "      <td>3.0298</td>\n",
       "      <td>4.4236</td>\n",
       "      <td>9.2682</td>\n",
       "      <td>374.66</td>\n",
       "      <td>762.68</td>\n",
       "      <td>86.94</td>\n",
       "      <td>153.41</td>\n",
       "      <td>475.65</td>\n",
       "      <td>...</td>\n",
       "      <td>150.6532</td>\n",
       "      <td>733.9853</td>\n",
       "      <td>467.5088</td>\n",
       "      <td>372.6618</td>\n",
       "      <td>81.271</td>\n",
       "      <td>144.6475</td>\n",
       "      <td>705.865</td>\n",
       "      <td>458.1197</td>\n",
       "      <td>361.7048</td>\n",
       "      <td>76.4281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>6.0542</td>\n",
       "      <td>29.2152</td>\n",
       "      <td>3.1983</td>\n",
       "      <td>4.3956</td>\n",
       "      <td>9.4034</td>\n",
       "      <td>374.07</td>\n",
       "      <td>764.03</td>\n",
       "      <td>86.54</td>\n",
       "      <td>153.34</td>\n",
       "      <td>476.51</td>\n",
       "      <td>...</td>\n",
       "      <td>151.0115</td>\n",
       "      <td>737.9913</td>\n",
       "      <td>468.709</td>\n",
       "      <td>372.8495</td>\n",
       "      <td>81.9735</td>\n",
       "      <td>145.2786</td>\n",
       "      <td>710.7167</td>\n",
       "      <td>459.7142</td>\n",
       "      <td>362.4499</td>\n",
       "      <td>77.3021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>5.9104</td>\n",
       "      <td>29.2099</td>\n",
       "      <td>3.2934</td>\n",
       "      <td>4.3517</td>\n",
       "      <td>9.481</td>\n",
       "      <td>375.28</td>\n",
       "      <td>757.85</td>\n",
       "      <td>85.88</td>\n",
       "      <td>153.38</td>\n",
       "      <td>476.69</td>\n",
       "      <td>...</td>\n",
       "      <td>151.3273</td>\n",
       "      <td>740.6391</td>\n",
       "      <td>469.7731</td>\n",
       "      <td>373.1736</td>\n",
       "      <td>82.4944</td>\n",
       "      <td>145.9187</td>\n",
       "      <td>713.6767</td>\n",
       "      <td>461.4483</td>\n",
       "      <td>363.1661</td>\n",
       "      <td>77.8672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>5.796</td>\n",
       "      <td>29.0128</td>\n",
       "      <td>3.3313</td>\n",
       "      <td>4.2204</td>\n",
       "      <td>9.4309</td>\n",
       "      <td>376.04</td>\n",
       "      <td>756.92</td>\n",
       "      <td>85.34</td>\n",
       "      <td>151.94</td>\n",
       "      <td>475.31</td>\n",
       "      <td>...</td>\n",
       "      <td>151.409</td>\n",
       "      <td>742.8099</td>\n",
       "      <td>470.5114</td>\n",
       "      <td>373.5558</td>\n",
       "      <td>82.8738</td>\n",
       "      <td>145.9404</td>\n",
       "      <td>715.9589</td>\n",
       "      <td>462.278</td>\n",
       "      <td>363.9126</td>\n",
       "      <td>78.3618</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 200 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           McClellan Oscillator                                    \\\n",
       "                           MSFT    ASML      MU    AMZN Benchmark   \n",
       "Date                                                                \n",
       "2023-01-03              -0.4868  6.9243 -1.4919 -4.7495   -1.0564   \n",
       "2023-01-04              -1.1123  6.8877 -1.2982 -4.6069    -1.094   \n",
       "2023-01-05              -1.9781  6.5495 -1.1011 -4.5629   -1.3362   \n",
       "2023-01-06               -2.579  7.7386 -0.8246 -4.3545   -1.1082   \n",
       "2023-01-09              -2.9713  9.9781 -0.6046 -4.0905   -0.9186   \n",
       "...                         ...     ...     ...     ...       ...   \n",
       "2023-12-22               6.4246  27.985  2.7915  4.4264    9.1062   \n",
       "2023-12-26               6.2577 28.6891  3.0298  4.4236    9.2682   \n",
       "2023-12-27               6.0542 29.2152  3.1983  4.3956    9.4034   \n",
       "2023-12-28               5.9104 29.2099  3.2934  4.3517     9.481   \n",
       "2023-12-29                5.796 29.0128  3.3313  4.2204    9.4309   \n",
       "\n",
       "           Advancers - Decliners                                ...  \\\n",
       "                            MSFT   ASML    MU   AMZN Benchmark  ...   \n",
       "Date                                                            ...   \n",
       "2023-01-03                237.47 544.14 50.02  85.82    375.12  ...   \n",
       "2023-01-04                227.09 565.19 53.83  85.14    378.01  ...   \n",
       "2023-01-05                220.36 559.74 54.33  83.12     373.7  ...   \n",
       "2023-01-06                222.95 589.96 56.38  86.08    382.27  ...   \n",
       "2023-01-09                225.12 615.19 55.97  87.36    382.05  ...   \n",
       "...                          ...    ...   ...    ...       ...  ...   \n",
       "2023-12-22                374.58 752.53 86.37 153.42    473.65  ...   \n",
       "2023-12-26                374.66 762.68 86.94 153.41    475.65  ...   \n",
       "2023-12-27                374.07 764.03 86.54 153.34    476.51  ...   \n",
       "2023-12-28                375.28 757.85 85.88 153.38    476.69  ...   \n",
       "2023-12-29                376.04 756.92 85.34 151.94    475.31  ...   \n",
       "\n",
       "           Keltner Channel Middle                                      \\\n",
       "                             AMZN     ASML Benchmark     MSFT      MU   \n",
       "Date                                                                    \n",
       "2023-01-03                85.9672 555.6601   378.582 239.4149 50.8278   \n",
       "2023-01-04                85.8569 556.9308  378.5058 237.7716 51.2281   \n",
       "2023-01-05                 85.492 557.3053   377.865   235.45 51.6417   \n",
       "2023-01-06                85.5704 561.6593  378.4523 233.7834 52.2735   \n",
       "2023-01-09                 85.809 568.7967   378.932 232.6283 52.7663   \n",
       "...                           ...      ...       ...      ...     ...   \n",
       "2023-12-22               150.2291 729.5707  466.2563 372.3543 80.3988   \n",
       "2023-12-26               150.6532 733.9853  467.5088 372.6618  81.271   \n",
       "2023-12-27               151.0115 737.9913   468.709 372.8495 81.9735   \n",
       "2023-12-28               151.3273 740.6391  469.7731 373.1736 82.4944   \n",
       "2023-12-29                151.409 742.8099  470.5114 373.5558 82.8738   \n",
       "\n",
       "           Keltner Channel Lower                                      \n",
       "                            AMZN     ASML Benchmark     MSFT      MU  \n",
       "Date                                                                  \n",
       "2023-01-03               79.8772 516.8473  359.8078 225.7049 47.2021  \n",
       "2023-01-04               80.0683 519.2651  360.9529 224.3644 47.4224  \n",
       "2023-01-05               79.8805 520.4725  361.3879 222.3986 47.9045  \n",
       "2023-01-06               79.8361 522.9093  360.8052 220.9048 48.3906  \n",
       "2023-01-09               79.9633 526.8439  360.4434 219.4697 48.7563  \n",
       "...                          ...      ...       ...      ...     ...  \n",
       "2023-12-22              143.5812 702.3497  456.8944 360.8239 75.6059  \n",
       "2023-12-26              144.6475  705.865  458.1197 361.7048 76.4281  \n",
       "2023-12-27              145.2786 710.7167  459.7142 362.4499 77.3021  \n",
       "2023-12-28              145.9187 713.6767  461.4483 363.1661 77.8672  \n",
       "2023-12-29              145.9404 715.9589   462.278 363.9126 78.3618  \n",
       "\n",
       "[250 rows x 200 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.technicals.collect_all_indicators()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5c517d1",
   "metadata": {},
   "source": [
    "Individual indicators are also available such as the Bollinger Bands and plot accordingly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e4030202",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"5\" halign=\"left\">Close</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Lower Band</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Middle Band</th>\n",
       "      <th colspan=\"5\" halign=\"left\">Upper Band</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ASML</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ASML</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ASML</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>ASML</th>\n",
       "      <th>Benchmark</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>MU</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>85.82</td>\n",
       "      <td>544.14</td>\n",
       "      <td>375.12</td>\n",
       "      <td>237.47</td>\n",
       "      <td>50.02</td>\n",
       "      <td>79.9044</td>\n",
       "      <td>505.9969</td>\n",
       "      <td>365.7281</td>\n",
       "      <td>227.267</td>\n",
       "      <td>47.2349</td>\n",
       "      <td>86.0829</td>\n",
       "      <td>561.6179</td>\n",
       "      <td>378.8129</td>\n",
       "      <td>240.9586</td>\n",
       "      <td>50.7836</td>\n",
       "      <td>92.2613</td>\n",
       "      <td>617.2388</td>\n",
       "      <td>391.8976</td>\n",
       "      <td>254.6501</td>\n",
       "      <td>54.3322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>85.14</td>\n",
       "      <td>565.19</td>\n",
       "      <td>378.01</td>\n",
       "      <td>227.09</td>\n",
       "      <td>53.83</td>\n",
       "      <td>80.5952</td>\n",
       "      <td>513.9386</td>\n",
       "      <td>367.9959</td>\n",
       "      <td>225.8679</td>\n",
       "      <td>47.4606</td>\n",
       "      <td>85.5579</td>\n",
       "      <td>557.5557</td>\n",
       "      <td>377.6607</td>\n",
       "      <td>238.9893</td>\n",
       "      <td>50.7186</td>\n",
       "      <td>90.5205</td>\n",
       "      <td>601.1729</td>\n",
       "      <td>387.3255</td>\n",
       "      <td>252.1107</td>\n",
       "      <td>53.9765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>83.12</td>\n",
       "      <td>559.74</td>\n",
       "      <td>373.7</td>\n",
       "      <td>220.36</td>\n",
       "      <td>54.33</td>\n",
       "      <td>81.2488</td>\n",
       "      <td>522.2057</td>\n",
       "      <td>370.7933</td>\n",
       "      <td>223.3208</td>\n",
       "      <td>47.3998</td>\n",
       "      <td>84.9536</td>\n",
       "      <td>553.9814</td>\n",
       "      <td>376.3807</td>\n",
       "      <td>236.5179</td>\n",
       "      <td>50.7357</td>\n",
       "      <td>88.6583</td>\n",
       "      <td>585.7572</td>\n",
       "      <td>381.9682</td>\n",
       "      <td>249.7149</td>\n",
       "      <td>54.0717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>86.08</td>\n",
       "      <td>589.96</td>\n",
       "      <td>382.27</td>\n",
       "      <td>222.95</td>\n",
       "      <td>56.38</td>\n",
       "      <td>81.5858</td>\n",
       "      <td>520.1739</td>\n",
       "      <td>370.7371</td>\n",
       "      <td>221.1884</td>\n",
       "      <td>46.5843</td>\n",
       "      <td>84.7843</td>\n",
       "      <td>554.6536</td>\n",
       "      <td>376.3971</td>\n",
       "      <td>234.8129</td>\n",
       "      <td>51.08</td>\n",
       "      <td>87.9828</td>\n",
       "      <td>589.1333</td>\n",
       "      <td>382.0572</td>\n",
       "      <td>248.4373</td>\n",
       "      <td>55.5757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>87.36</td>\n",
       "      <td>615.19</td>\n",
       "      <td>382.05</td>\n",
       "      <td>225.12</td>\n",
       "      <td>55.97</td>\n",
       "      <td>81.6899</td>\n",
       "      <td>510.9826</td>\n",
       "      <td>370.315</td>\n",
       "      <td>219.8029</td>\n",
       "      <td>46.1902</td>\n",
       "      <td>84.7486</td>\n",
       "      <td>557.9779</td>\n",
       "      <td>376.72</td>\n",
       "      <td>233.5686</td>\n",
       "      <td>51.3929</td>\n",
       "      <td>87.8073</td>\n",
       "      <td>604.9731</td>\n",
       "      <td>383.125</td>\n",
       "      <td>247.3342</td>\n",
       "      <td>56.5955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-22</th>\n",
       "      <td>153.42</td>\n",
       "      <td>752.53</td>\n",
       "      <td>473.65</td>\n",
       "      <td>374.58</td>\n",
       "      <td>86.37</td>\n",
       "      <td>142.781</td>\n",
       "      <td>678.3379</td>\n",
       "      <td>450.1339</td>\n",
       "      <td>367.0362</td>\n",
       "      <td>70.529</td>\n",
       "      <td>149.4671</td>\n",
       "      <td>727.1171</td>\n",
       "      <td>465.3</td>\n",
       "      <td>371.99</td>\n",
       "      <td>79.1193</td>\n",
       "      <td>156.1533</td>\n",
       "      <td>775.8964</td>\n",
       "      <td>480.4661</td>\n",
       "      <td>376.9438</td>\n",
       "      <td>87.7096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>153.41</td>\n",
       "      <td>762.68</td>\n",
       "      <td>475.65</td>\n",
       "      <td>374.66</td>\n",
       "      <td>86.94</td>\n",
       "      <td>143.1151</td>\n",
       "      <td>683.6142</td>\n",
       "      <td>451.9868</td>\n",
       "      <td>366.9905</td>\n",
       "      <td>71.1685</td>\n",
       "      <td>149.9336</td>\n",
       "      <td>731.985</td>\n",
       "      <td>466.7921</td>\n",
       "      <td>372.1429</td>\n",
       "      <td>80.0729</td>\n",
       "      <td>156.7521</td>\n",
       "      <td>780.3558</td>\n",
       "      <td>481.5975</td>\n",
       "      <td>377.2952</td>\n",
       "      <td>88.9773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>153.34</td>\n",
       "      <td>764.03</td>\n",
       "      <td>476.51</td>\n",
       "      <td>374.07</td>\n",
       "      <td>86.54</td>\n",
       "      <td>144.2918</td>\n",
       "      <td>691.8258</td>\n",
       "      <td>455.18</td>\n",
       "      <td>367.6571</td>\n",
       "      <td>72.5007</td>\n",
       "      <td>150.5636</td>\n",
       "      <td>737.1243</td>\n",
       "      <td>468.4771</td>\n",
       "      <td>372.5193</td>\n",
       "      <td>81.0379</td>\n",
       "      <td>156.8353</td>\n",
       "      <td>782.4228</td>\n",
       "      <td>481.7743</td>\n",
       "      <td>377.3815</td>\n",
       "      <td>89.5751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>153.38</td>\n",
       "      <td>757.85</td>\n",
       "      <td>476.69</td>\n",
       "      <td>375.28</td>\n",
       "      <td>85.88</td>\n",
       "      <td>144.9721</td>\n",
       "      <td>700.3232</td>\n",
       "      <td>457.9497</td>\n",
       "      <td>367.847</td>\n",
       "      <td>74.2046</td>\n",
       "      <td>151.0279</td>\n",
       "      <td>741.2814</td>\n",
       "      <td>469.9279</td>\n",
       "      <td>372.8286</td>\n",
       "      <td>81.9186</td>\n",
       "      <td>157.0836</td>\n",
       "      <td>782.2397</td>\n",
       "      <td>481.906</td>\n",
       "      <td>377.8101</td>\n",
       "      <td>89.6325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>151.94</td>\n",
       "      <td>756.92</td>\n",
       "      <td>475.31</td>\n",
       "      <td>376.04</td>\n",
       "      <td>85.34</td>\n",
       "      <td>145.6521</td>\n",
       "      <td>713.1454</td>\n",
       "      <td>460.9056</td>\n",
       "      <td>367.7317</td>\n",
       "      <td>75.932</td>\n",
       "      <td>151.3507</td>\n",
       "      <td>745.6021</td>\n",
       "      <td>471.14</td>\n",
       "      <td>372.9579</td>\n",
       "      <td>82.6671</td>\n",
       "      <td>157.0493</td>\n",
       "      <td>778.0589</td>\n",
       "      <td>481.3744</td>\n",
       "      <td>378.184</td>\n",
       "      <td>89.4023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Close                               Lower Band                     \\\n",
       "             AMZN   ASML Benchmark   MSFT    MU       AMZN     ASML Benchmark   \n",
       "Date                                                                            \n",
       "2023-01-03  85.82 544.14    375.12 237.47 50.02    79.9044 505.9969  365.7281   \n",
       "2023-01-04  85.14 565.19    378.01 227.09 53.83    80.5952 513.9386  367.9959   \n",
       "2023-01-05  83.12 559.74     373.7 220.36 54.33    81.2488 522.2057  370.7933   \n",
       "2023-01-06  86.08 589.96    382.27 222.95 56.38    81.5858 520.1739  370.7371   \n",
       "2023-01-09  87.36 615.19    382.05 225.12 55.97    81.6899 510.9826   370.315   \n",
       "...           ...    ...       ...    ...   ...        ...      ...       ...   \n",
       "2023-12-22 153.42 752.53    473.65 374.58 86.37    142.781 678.3379  450.1339   \n",
       "2023-12-26 153.41 762.68    475.65 374.66 86.94   143.1151 683.6142  451.9868   \n",
       "2023-12-27 153.34 764.03    476.51 374.07 86.54   144.2918 691.8258    455.18   \n",
       "2023-12-28 153.38 757.85    476.69 375.28 85.88   144.9721 700.3232  457.9497   \n",
       "2023-12-29 151.94 756.92    475.31 376.04 85.34   145.6521 713.1454  460.9056   \n",
       "\n",
       "                            Middle Band                                      \\\n",
       "               MSFT      MU        AMZN     ASML Benchmark     MSFT      MU   \n",
       "Date                                                                          \n",
       "2023-01-03  227.267 47.2349     86.0829 561.6179  378.8129 240.9586 50.7836   \n",
       "2023-01-04 225.8679 47.4606     85.5579 557.5557  377.6607 238.9893 50.7186   \n",
       "2023-01-05 223.3208 47.3998     84.9536 553.9814  376.3807 236.5179 50.7357   \n",
       "2023-01-06 221.1884 46.5843     84.7843 554.6536  376.3971 234.8129   51.08   \n",
       "2023-01-09 219.8029 46.1902     84.7486 557.9779    376.72 233.5686 51.3929   \n",
       "...             ...     ...         ...      ...       ...      ...     ...   \n",
       "2023-12-22 367.0362  70.529    149.4671 727.1171     465.3   371.99 79.1193   \n",
       "2023-12-26 366.9905 71.1685    149.9336  731.985  466.7921 372.1429 80.0729   \n",
       "2023-12-27 367.6571 72.5007    150.5636 737.1243  468.4771 372.5193 81.0379   \n",
       "2023-12-28  367.847 74.2046    151.0279 741.2814  469.9279 372.8286 81.9186   \n",
       "2023-12-29 367.7317  75.932    151.3507 745.6021    471.14 372.9579 82.6671   \n",
       "\n",
       "           Upper Band                                      \n",
       "                 AMZN     ASML Benchmark     MSFT      MU  \n",
       "Date                                                       \n",
       "2023-01-03    92.2613 617.2388  391.8976 254.6501 54.3322  \n",
       "2023-01-04    90.5205 601.1729  387.3255 252.1107 53.9765  \n",
       "2023-01-05    88.6583 585.7572  381.9682 249.7149 54.0717  \n",
       "2023-01-06    87.9828 589.1333  382.0572 248.4373 55.5757  \n",
       "2023-01-09    87.8073 604.9731   383.125 247.3342 56.5955  \n",
       "...               ...      ...       ...      ...     ...  \n",
       "2023-12-22   156.1533 775.8964  480.4661 376.9438 87.7096  \n",
       "2023-12-26   156.7521 780.3558  481.5975 377.2952 88.9773  \n",
       "2023-12-27   156.8353 782.4228  481.7743 377.3815 89.5751  \n",
       "2023-12-28   157.0836 782.2397   481.906 377.8101 89.6325  \n",
       "2023-12-29   157.0493 778.0589  481.3744  378.184 89.4023  \n",
       "\n",
       "[250 rows x 20 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': \"Microsoft's Bollinger Bands\"}, xlabel='Date'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bollinger_bands = companies.technicals.get_bollinger_bands()\n",
    "\n",
    "display(bollinger_bands)\n",
    "\n",
    "bollinger_bands.xs(\"MSFT\", level=1, axis=1).plot(\n",
    "    figsize=(15, 3),\n",
    "    title=\"Microsoft's Bollinger Bands\",\n",
    "    grid=True,\n",
    "    legend=True,\n",
    "    colormap=\"seismic\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d07b3760",
   "metadata": {},
   "source": [
    "Each functionality also has the ability to change parameters. As an example, the window for the Average Directional Index can be changed and the growth and lag can also be defined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1780e6f1",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"4\" halign=\"left\">MSFT</th>\n",
       "      <th colspan=\"4\" halign=\"left\">ASML</th>\n",
       "      <th colspan=\"4\" halign=\"left\">MU</th>\n",
       "      <th colspan=\"4\" halign=\"left\">AMZN</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Benchmark</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Lag 1</th>\n",
       "      <th>Lag 3</th>\n",
       "      <th>Lag 5</th>\n",
       "      <th>Lag 10</th>\n",
       "      <th>Lag 1</th>\n",
       "      <th>Lag 3</th>\n",
       "      <th>Lag 5</th>\n",
       "      <th>Lag 10</th>\n",
       "      <th>Lag 1</th>\n",
       "      <th>Lag 3</th>\n",
       "      <th>Lag 5</th>\n",
       "      <th>Lag 10</th>\n",
       "      <th>Lag 1</th>\n",
       "      <th>Lag 3</th>\n",
       "      <th>Lag 5</th>\n",
       "      <th>Lag 10</th>\n",
       "      <th>Lag 1</th>\n",
       "      <th>Lag 3</th>\n",
       "      <th>Lag 5</th>\n",
       "      <th>Lag 10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>-0.0982</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.1167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0152</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0334</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>-0.0563</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.1236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>-0.031</td>\n",
       "      <td>-0.1754</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.107</td>\n",
       "      <td>-0.3087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002</td>\n",
       "      <td>-0.0203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0048</td>\n",
       "      <td>-0.0087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0421</td>\n",
       "      <td>-0.0902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>-0.0725</td>\n",
       "      <td>-0.1519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0851</td>\n",
       "      <td>-0.2839</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>0.003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0394</td>\n",
       "      <td>-0.0472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0811</td>\n",
       "      <td>-0.1351</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-22</th>\n",
       "      <td>-0.1182</td>\n",
       "      <td>-0.237</td>\n",
       "      <td>-0.3291</td>\n",
       "      <td>-0.4433</td>\n",
       "      <td>-0.0377</td>\n",
       "      <td>-0.0996</td>\n",
       "      <td>-0.1484</td>\n",
       "      <td>-0.1191</td>\n",
       "      <td>-0.0525</td>\n",
       "      <td>-0.1232</td>\n",
       "      <td>-0.1703</td>\n",
       "      <td>-0.208</td>\n",
       "      <td>-0.0701</td>\n",
       "      <td>-0.1032</td>\n",
       "      <td>-0.1387</td>\n",
       "      <td>-0.2751</td>\n",
       "      <td>-0.0219</td>\n",
       "      <td>-0.0337</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.2748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>-0.132</td>\n",
       "      <td>-0.2857</td>\n",
       "      <td>-0.3828</td>\n",
       "      <td>-0.5028</td>\n",
       "      <td>-0.0283</td>\n",
       "      <td>-0.0991</td>\n",
       "      <td>-0.154</td>\n",
       "      <td>-0.1578</td>\n",
       "      <td>-0.0601</td>\n",
       "      <td>-0.1435</td>\n",
       "      <td>-0.2039</td>\n",
       "      <td>-0.2562</td>\n",
       "      <td>-0.0724</td>\n",
       "      <td>-0.1813</td>\n",
       "      <td>-0.1916</td>\n",
       "      <td>-0.3057</td>\n",
       "      <td>-0.0244</td>\n",
       "      <td>-0.0566</td>\n",
       "      <td>-0.0456</td>\n",
       "      <td>0.1663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>-0.1397</td>\n",
       "      <td>-0.3415</td>\n",
       "      <td>-0.4302</td>\n",
       "      <td>-0.5622</td>\n",
       "      <td>-0.0061</td>\n",
       "      <td>-0.0707</td>\n",
       "      <td>-0.1304</td>\n",
       "      <td>-0.1789</td>\n",
       "      <td>-0.0064</td>\n",
       "      <td>-0.1151</td>\n",
       "      <td>-0.1812</td>\n",
       "      <td>-0.2579</td>\n",
       "      <td>-0.0238</td>\n",
       "      <td>-0.1579</td>\n",
       "      <td>-0.1879</td>\n",
       "      <td>-0.3041</td>\n",
       "      <td>-0.022</td>\n",
       "      <td>-0.0667</td>\n",
       "      <td>-0.078</td>\n",
       "      <td>0.0732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>-0.1614</td>\n",
       "      <td>-0.3738</td>\n",
       "      <td>-0.4847</td>\n",
       "      <td>-0.6205</td>\n",
       "      <td>-0.0117</td>\n",
       "      <td>-0.0456</td>\n",
       "      <td>-0.1152</td>\n",
       "      <td>-0.1911</td>\n",
       "      <td>-0.0271</td>\n",
       "      <td>-0.0914</td>\n",
       "      <td>-0.1721</td>\n",
       "      <td>-0.2654</td>\n",
       "      <td>-0.0391</td>\n",
       "      <td>-0.1298</td>\n",
       "      <td>-0.2321</td>\n",
       "      <td>-0.2883</td>\n",
       "      <td>-0.0235</td>\n",
       "      <td>-0.0683</td>\n",
       "      <td>-0.0991</td>\n",
       "      <td>-0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>-0.1784</td>\n",
       "      <td>-0.4073</td>\n",
       "      <td>-0.5463</td>\n",
       "      <td>-0.673</td>\n",
       "      <td>0.0038</td>\n",
       "      <td>-0.014</td>\n",
       "      <td>-0.0781</td>\n",
       "      <td>-0.1846</td>\n",
       "      <td>0.0017</td>\n",
       "      <td>-0.0317</td>\n",
       "      <td>-0.1376</td>\n",
       "      <td>-0.2563</td>\n",
       "      <td>-0.0063</td>\n",
       "      <td>-0.0678</td>\n",
       "      <td>-0.1959</td>\n",
       "      <td>-0.2573</td>\n",
       "      <td>-0.0261</td>\n",
       "      <td>-0.0699</td>\n",
       "      <td>-0.1125</td>\n",
       "      <td>-0.0645</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              MSFT                            ASML                          \\\n",
       "             Lag 1   Lag 3   Lag 5  Lag 10   Lag 1   Lag 3   Lag 5  Lag 10   \n",
       "Date                                                                         \n",
       "2023-01-03     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "2023-01-04 -0.0982     NaN     NaN     NaN -0.1167     NaN     NaN     NaN   \n",
       "2023-01-05 -0.0563     NaN     NaN     NaN -0.1236     NaN     NaN     NaN   \n",
       "2023-01-06  -0.031 -0.1754     NaN     NaN  -0.107 -0.3087     NaN     NaN   \n",
       "2023-01-09 -0.0725 -0.1519     NaN     NaN -0.0851 -0.2839     NaN     NaN   \n",
       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "2023-12-22 -0.1182  -0.237 -0.3291 -0.4433 -0.0377 -0.0996 -0.1484 -0.1191   \n",
       "2023-12-26  -0.132 -0.2857 -0.3828 -0.5028 -0.0283 -0.0991  -0.154 -0.1578   \n",
       "2023-12-27 -0.1397 -0.3415 -0.4302 -0.5622 -0.0061 -0.0707 -0.1304 -0.1789   \n",
       "2023-12-28 -0.1614 -0.3738 -0.4847 -0.6205 -0.0117 -0.0456 -0.1152 -0.1911   \n",
       "2023-12-29 -0.1784 -0.4073 -0.5463  -0.673  0.0038  -0.014 -0.0781 -0.1846   \n",
       "\n",
       "                MU                            AMZN                          \\\n",
       "             Lag 1   Lag 3   Lag 5  Lag 10   Lag 1   Lag 3   Lag 5  Lag 10   \n",
       "Date                                                                         \n",
       "2023-01-03     NaN     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "2023-01-04 -0.0152     NaN     NaN     NaN -0.0006     NaN     NaN     NaN   \n",
       "2023-01-05 -0.0071     NaN     NaN     NaN -0.0032     NaN     NaN     NaN   \n",
       "2023-01-06   0.002 -0.0203     NaN     NaN -0.0048 -0.0087     NaN     NaN   \n",
       "2023-01-09  0.0082   0.003     NaN     NaN -0.0394 -0.0472     NaN     NaN   \n",
       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "2023-12-22 -0.0525 -0.1232 -0.1703  -0.208 -0.0701 -0.1032 -0.1387 -0.2751   \n",
       "2023-12-26 -0.0601 -0.1435 -0.2039 -0.2562 -0.0724 -0.1813 -0.1916 -0.3057   \n",
       "2023-12-27 -0.0064 -0.1151 -0.1812 -0.2579 -0.0238 -0.1579 -0.1879 -0.3041   \n",
       "2023-12-28 -0.0271 -0.0914 -0.1721 -0.2654 -0.0391 -0.1298 -0.2321 -0.2883   \n",
       "2023-12-29  0.0017 -0.0317 -0.1376 -0.2563 -0.0063 -0.0678 -0.1959 -0.2573   \n",
       "\n",
       "           Benchmark                          \n",
       "               Lag 1   Lag 3   Lag 5  Lag 10  \n",
       "Date                                          \n",
       "2023-01-03       NaN     NaN     NaN     NaN  \n",
       "2023-01-04   -0.0334     NaN     NaN     NaN  \n",
       "2023-01-05   -0.0175     NaN     NaN     NaN  \n",
       "2023-01-06   -0.0421 -0.0902     NaN     NaN  \n",
       "2023-01-09   -0.0811 -0.1351     NaN     NaN  \n",
       "...              ...     ...     ...     ...  \n",
       "2023-12-22   -0.0219 -0.0337  0.0002  0.2748  \n",
       "2023-12-26   -0.0244 -0.0566 -0.0456  0.1663  \n",
       "2023-12-27    -0.022 -0.0667  -0.078  0.0732  \n",
       "2023-12-28   -0.0235 -0.0683 -0.0991 -0.0002  \n",
       "2023-12-29   -0.0261 -0.0699 -0.1125 -0.0645  \n",
       "\n",
       "[250 rows x 20 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "companies.technicals.get_average_directional_index(\n",
    "    window=20, growth=True, lag=[1, 3, 5, 10]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98c8e750",
   "metadata": {},
   "source": [
    "Furthermore, the technical indicators can be plotted in a single figure with relative ease."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5dccc1b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSFT</th>\n",
       "      <th>ASML</th>\n",
       "      <th>MU</th>\n",
       "      <th>AMZN</th>\n",
       "      <th>Benchmark</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>35.4119</td>\n",
       "      <td>33.0826</td>\n",
       "      <td>28.4821</td>\n",
       "      <td>39.9746</td>\n",
       "      <td>34.5279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>22.4024</td>\n",
       "      <td>34.1808</td>\n",
       "      <td>46.9484</td>\n",
       "      <td>33.5423</td>\n",
       "      <td>34.4395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>19.3154</td>\n",
       "      <td>35.5309</td>\n",
       "      <td>50.813</td>\n",
       "      <td>31.9539</td>\n",
       "      <td>33.2898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>26.5198</td>\n",
       "      <td>52.7054</td>\n",
       "      <td>66.8768</td>\n",
       "      <td>44.9076</td>\n",
       "      <td>50.2186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>32.1223</td>\n",
       "      <td>62.4279</td>\n",
       "      <td>64.9386</td>\n",
       "      <td>48.9566</td>\n",
       "      <td>54.6772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-22</th>\n",
       "      <td>56.6471</td>\n",
       "      <td>73.4666</td>\n",
       "      <td>76.4553</td>\n",
       "      <td>67.9198</td>\n",
       "      <td>75.1606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>52.8442</td>\n",
       "      <td>74.6047</td>\n",
       "      <td>79.0344</td>\n",
       "      <td>64.9019</td>\n",
       "      <td>76.5979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>57.6399</td>\n",
       "      <td>76.1846</td>\n",
       "      <td>79.5883</td>\n",
       "      <td>72.4771</td>\n",
       "      <td>80.8044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>56.4531</td>\n",
       "      <td>71.3971</td>\n",
       "      <td>76.8394</td>\n",
       "      <td>68.7861</td>\n",
       "      <td>79.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>52.9165</td>\n",
       "      <td>72.6198</td>\n",
       "      <td>73.6036</td>\n",
       "      <td>62.4176</td>\n",
       "      <td>74.6442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              MSFT    ASML      MU    AMZN  Benchmark\n",
       "Date                                                 \n",
       "2023-01-03 35.4119 33.0826 28.4821 39.9746    34.5279\n",
       "2023-01-04 22.4024 34.1808 46.9484 33.5423    34.4395\n",
       "2023-01-05 19.3154 35.5309  50.813 31.9539    33.2898\n",
       "2023-01-06 26.5198 52.7054 66.8768 44.9076    50.2186\n",
       "2023-01-09 32.1223 62.4279 64.9386 48.9566    54.6772\n",
       "...            ...     ...     ...     ...        ...\n",
       "2023-12-22 56.6471 73.4666 76.4553 67.9198    75.1606\n",
       "2023-12-26 52.8442 74.6047 79.0344 64.9019    76.5979\n",
       "2023-12-27 57.6399 76.1846 79.5883 72.4771    80.8044\n",
       "2023-12-28 56.4531 71.3971 76.8394 68.7861     79.006\n",
       "2023-12-29 52.9165 72.6198 73.6036 62.4176    74.6442\n",
       "\n",
       "[250 rows x 5 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([<Axes: xlabel='Date'>, <Axes: xlabel='Date'>,\n",
       "       <Axes: xlabel='Date'>, <Axes: xlabel='Date'>,\n",
       "       <Axes: xlabel='Date'>], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Obtain the Relative Strength Index (RSI) for each company\n",
    "rsi = companies.technicals.get_relative_strength_index()\n",
    "\n",
    "# Show the RSI for each company\n",
    "display(rsi)\n",
    "\n",
    "# Plot the RSI for each company\n",
    "rsi.plot(\n",
    "    subplots=True,\n",
    "    figsize=(15, 5),\n",
    "    title=\"Relative Strength Index for Microsoft, ASML, Amazon and Micron Technologies\",\n",
    "    legend=False,\n",
    "    grid=True,\n",
    "    ylim=(0, 100),\n",
    "    sharex=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dd1c3e3",
   "metadata": {},
   "source": [
    "Given that the models of the Technicals module are very flexible and merely contain the calculation, it is possible to directly use these models instead of the Toolkit as well given that you have your own data or are looking for specific alterations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0dccfa8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>Conversion Line</th>\n",
       "      <th>Base Line</th>\n",
       "      <th>Leading Span A</th>\n",
       "      <th>Leading Span B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>141.0</td>\n",
       "      <td>135.5</td>\n",
       "      <td>129.25</td>\n",
       "      <td>116.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>142.0</td>\n",
       "      <td>136.5</td>\n",
       "      <td>130.25</td>\n",
       "      <td>117.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>143.0</td>\n",
       "      <td>137.5</td>\n",
       "      <td>131.25</td>\n",
       "      <td>118.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>144.0</td>\n",
       "      <td>138.5</td>\n",
       "      <td>132.25</td>\n",
       "      <td>119.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>145.0</td>\n",
       "      <td>139.5</td>\n",
       "      <td>133.25</td>\n",
       "      <td>120.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Conversion Line  Base Line  Leading Span A  Leading Span B\n",
       "0               NaN        NaN             NaN             NaN\n",
       "1               NaN        NaN             NaN             NaN\n",
       "2               NaN        NaN             NaN             NaN\n",
       "3               NaN        NaN             NaN             NaN\n",
       "4               NaN        NaN             NaN             NaN\n",
       "..              ...        ...             ...             ...\n",
       "65            141.0      135.5          129.25           116.5\n",
       "66            142.0      136.5          130.25           117.5\n",
       "67            143.0      137.5          131.25           118.5\n",
       "68            144.0      138.5          132.25           119.5\n",
       "69            145.0      139.5          133.25           120.5\n",
       "\n",
       "[70 rows x 4 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\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>Upper Band</th>\n",
       "      <th>Middle Band</th>\n",
       "      <th>Lower Band</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>109.57106781186548</td>\n",
       "      <td>102.5</td>\n",
       "      <td>95.42893218813452</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>120.31370849898477</td>\n",
       "      <td>109.0</td>\n",
       "      <td>97.68629150101523</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>137.88477631085024</td>\n",
       "      <td>119.5</td>\n",
       "      <td>101.11522368914976</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168.1126983722081</td>\n",
       "      <td>137.0</td>\n",
       "      <td>105.88730162779191</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Upper Band  Middle Band         Lower Band  Close\n",
       "0                NaN          NaN                NaN    100\n",
       "1 109.57106781186548        102.5  95.42893218813452    105\n",
       "2 120.31370849898477        109.0  97.68629150101523    113\n",
       "3 137.88477631085024        119.5 101.11522368914976    126\n",
       "4  168.1126983722081        137.0 105.88730162779191    148"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from financetoolkit.technicals import momentum_model, volatility_model\n",
    "\n",
    "display(\n",
    "    momentum_model.get_ichimoku_cloud(\n",
    "        prices_low=pd.Series(range(70, 140, 1)),\n",
    "        prices_high=pd.Series(range(90, 160, 1)),\n",
    "        conversion_window=9,\n",
    "        base_window=20,\n",
    "        lead_span_b_window=40,\n",
    "    )\n",
    ")\n",
    "\n",
    "display(\n",
    "    volatility_model.get_bollinger_bands(\n",
    "        prices=pd.Series([100, 105, 113, 126, 148]),\n",
    "        window=2,\n",
    "        num_std_dev=2,\n",
    "    )\n",
    ")"
   ]
  }
 ],
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