{
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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",
    "  color: #fff !important;\n",
    "  background-color: #58abc4;\n",
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    "  text-decoration: none;\n",
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    "\n",
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    "a:hover {\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//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;margin-right:5px\">Economics</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//fixed-income-module\" target=\"_blank\" class=\"button\" style=\"flex: 1;margin-right:5px\">Fixed income</a>\n",
    "    <a href=\"https://www.jeroenbouma.com/projects/financetoolkit//portfolio-module\" target=\"_blank\" class=\"button\" style=\"flex: 1; \">Portfolio</a>\n",
    "</div>"
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  {
   "cell_type": "code",
   "execution_count": null,
   "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,  9.48it/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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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-01-03</th>\n",
       "      <td>-0.6022</td>\n",
       "      <td>6.8376</td>\n",
       "      <td>-1.5214</td>\n",
       "      <td>-4.7495</td>\n",
       "      <td>-1.5597</td>\n",
       "      <td>239.58</td>\n",
       "      <td>549.57</td>\n",
       "      <td>50.37</td>\n",
       "      <td>85.82</td>\n",
       "      <td>380.82</td>\n",
       "      <td>...</td>\n",
       "      <td>85.9672</td>\n",
       "      <td>561.2085</td>\n",
       "      <td>384.7125</td>\n",
       "      <td>241.5454</td>\n",
       "      <td>51.2682</td>\n",
       "      <td>79.8772</td>\n",
       "      <td>521.5313</td>\n",
       "      <td>369.5868</td>\n",
       "      <td>227.7411</td>\n",
       "      <td>47.5782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>-1.2291</td>\n",
       "      <td>6.8076</td>\n",
       "      <td>-1.3305</td>\n",
       "      <td>-4.6069</td>\n",
       "      <td>-1.6018</td>\n",
       "      <td>229.1</td>\n",
       "      <td>570.83</td>\n",
       "      <td>54.2</td>\n",
       "      <td>85.14</td>\n",
       "      <td>383.76</td>\n",
       "      <td>...</td>\n",
       "      <td>85.8569</td>\n",
       "      <td>562.4913</td>\n",
       "      <td>384.5855</td>\n",
       "      <td>239.886</td>\n",
       "      <td>51.6591</td>\n",
       "      <td>80.0683</td>\n",
       "      <td>523.8756</td>\n",
       "      <td>370.2684</td>\n",
       "      <td>225.766</td>\n",
       "      <td>47.8391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>-2.0984</td>\n",
       "      <td>6.4724</td>\n",
       "      <td>-1.135</td>\n",
       "      <td>-4.5629</td>\n",
       "      <td>-1.8487</td>\n",
       "      <td>222.31</td>\n",
       "      <td>565.32</td>\n",
       "      <td>54.71</td>\n",
       "      <td>83.12</td>\n",
       "      <td>379.38</td>\n",
       "      <td>...</td>\n",
       "      <td>85.492</td>\n",
       "      <td>562.8685</td>\n",
       "      <td>383.8914</td>\n",
       "      <td>237.5425</td>\n",
       "      <td>52.0659</td>\n",
       "      <td>79.8805</td>\n",
       "      <td>525.3013</td>\n",
       "      <td>370.1729</td>\n",
       "      <td>223.5568</td>\n",
       "      <td>48.323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>-2.7002</td>\n",
       "      <td>7.68</td>\n",
       "      <td>-0.8592</td>\n",
       "      <td>-4.3545</td>\n",
       "      <td>-1.6157</td>\n",
       "      <td>224.93</td>\n",
       "      <td>595.85</td>\n",
       "      <td>56.77</td>\n",
       "      <td>86.08</td>\n",
       "      <td>388.08</td>\n",
       "      <td>...</td>\n",
       "      <td>85.5704</td>\n",
       "      <td>567.266</td>\n",
       "      <td>384.4499</td>\n",
       "      <td>235.8609</td>\n",
       "      <td>52.6931</td>\n",
       "      <td>79.8361</td>\n",
       "      <td>529.4475</td>\n",
       "      <td>370.9656</td>\n",
       "      <td>222.3709</td>\n",
       "      <td>48.876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>-3.0917</td>\n",
       "      <td>9.948</td>\n",
       "      <td>-0.6396</td>\n",
       "      <td>-4.0905</td>\n",
       "      <td>-1.4193</td>\n",
       "      <td>227.12</td>\n",
       "      <td>621.33</td>\n",
       "      <td>56.36</td>\n",
       "      <td>87.36</td>\n",
       "      <td>387.86</td>\n",
       "      <td>...</td>\n",
       "      <td>85.809</td>\n",
       "      <td>574.4746</td>\n",
       "      <td>384.9046</td>\n",
       "      <td>234.6954</td>\n",
       "      <td>53.182</td>\n",
       "      <td>79.9633</td>\n",
       "      <td>534.3788</td>\n",
       "      <td>371.786</td>\n",
       "      <td>221.2083</td>\n",
       "      <td>49.2292</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-22</th>\n",
       "      <td>6.2861</td>\n",
       "      <td>27.7748</td>\n",
       "      <td>2.789</td>\n",
       "      <td>4.4264</td>\n",
       "      <td>8.7095</td>\n",
       "      <td>374.58</td>\n",
       "      <td>752.53</td>\n",
       "      <td>86.49</td>\n",
       "      <td>153.42</td>\n",
       "      <td>473.65</td>\n",
       "      <td>...</td>\n",
       "      <td>150.2291</td>\n",
       "      <td>729.5784</td>\n",
       "      <td>467.0443</td>\n",
       "      <td>372.3694</td>\n",
       "      <td>80.507</td>\n",
       "      <td>143.582</td>\n",
       "      <td>702.3569</td>\n",
       "      <td>458.4686</td>\n",
       "      <td>360.838</td>\n",
       "      <td>75.7456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>6.124</td>\n",
       "      <td>28.4879</td>\n",
       "      <td>3.028</td>\n",
       "      <td>4.4236</td>\n",
       "      <td>8.8422</td>\n",
       "      <td>374.66</td>\n",
       "      <td>762.68</td>\n",
       "      <td>87.06</td>\n",
       "      <td>153.41</td>\n",
       "      <td>475.65</td>\n",
       "      <td>...</td>\n",
       "      <td>150.6532</td>\n",
       "      <td>733.9919</td>\n",
       "      <td>468.1918</td>\n",
       "      <td>372.6748</td>\n",
       "      <td>81.3807</td>\n",
       "      <td>144.6475</td>\n",
       "      <td>705.8705</td>\n",
       "      <td>459.586</td>\n",
       "      <td>361.7177</td>\n",
       "      <td>76.5921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>5.9254</td>\n",
       "      <td>29.0226</td>\n",
       "      <td>3.1972</td>\n",
       "      <td>4.3956</td>\n",
       "      <td>8.9545</td>\n",
       "      <td>374.07</td>\n",
       "      <td>764.03</td>\n",
       "      <td>86.66</td>\n",
       "      <td>153.34</td>\n",
       "      <td>476.51</td>\n",
       "      <td>...</td>\n",
       "      <td>151.0115</td>\n",
       "      <td>737.997</td>\n",
       "      <td>469.3009</td>\n",
       "      <td>372.8609</td>\n",
       "      <td>82.0846</td>\n",
       "      <td>145.2786</td>\n",
       "      <td>710.7213</td>\n",
       "      <td>461.0894</td>\n",
       "      <td>362.4609</td>\n",
       "      <td>77.4675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>5.7864</td>\n",
       "      <td>29.0257</td>\n",
       "      <td>3.293</td>\n",
       "      <td>4.3517</td>\n",
       "      <td>9.0147</td>\n",
       "      <td>375.28</td>\n",
       "      <td>757.85</td>\n",
       "      <td>86.0</td>\n",
       "      <td>153.38</td>\n",
       "      <td>476.69</td>\n",
       "      <td>...</td>\n",
       "      <td>151.3273</td>\n",
       "      <td>740.6441</td>\n",
       "      <td>470.2861</td>\n",
       "      <td>373.1834</td>\n",
       "      <td>82.6067</td>\n",
       "      <td>145.9187</td>\n",
       "      <td>713.6812</td>\n",
       "      <td>462.4818</td>\n",
       "      <td>363.1748</td>\n",
       "      <td>78.0338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>5.6766</td>\n",
       "      <td>28.8367</td>\n",
       "      <td>3.3253</td>\n",
       "      <td>4.2204</td>\n",
       "      <td>8.9521</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>742.8142</td>\n",
       "      <td>470.9559</td>\n",
       "      <td>373.5643</td>\n",
       "      <td>82.9711</td>\n",
       "      <td>145.9404</td>\n",
       "      <td>715.9628</td>\n",
       "      <td>463.1245</td>\n",
       "      <td>363.92</td>\n",
       "      <td>78.514</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              -0.6022  6.8376 -1.5214 -4.7495   -1.5597   \n",
       "2023-01-04              -1.2291  6.8076 -1.3305 -4.6069   -1.6018   \n",
       "2023-01-05              -2.0984  6.4724  -1.135 -4.5629   -1.8487   \n",
       "2023-01-06              -2.7002    7.68 -0.8592 -4.3545   -1.6157   \n",
       "2023-01-09              -3.0917   9.948 -0.6396 -4.0905   -1.4193   \n",
       "...                         ...     ...     ...     ...       ...   \n",
       "2023-12-22               6.2861 27.7748   2.789  4.4264    8.7095   \n",
       "2023-12-26                6.124 28.4879   3.028  4.4236    8.8422   \n",
       "2023-12-27               5.9254 29.0226  3.1972  4.3956    8.9545   \n",
       "2023-12-28               5.7864 29.0257   3.293  4.3517    9.0147   \n",
       "2023-12-29               5.6766 28.8367  3.3253  4.2204    8.9521   \n",
       "\n",
       "           Advancers - Decliners                                ...  \\\n",
       "                            MSFT   ASML    MU   AMZN Benchmark  ...   \n",
       "Date                                                            ...   \n",
       "2023-01-03                239.58 549.57 50.37  85.82    380.82  ...   \n",
       "2023-01-04                 229.1 570.83  54.2  85.14    383.76  ...   \n",
       "2023-01-05                222.31 565.32 54.71  83.12    379.38  ...   \n",
       "2023-01-06                224.93 595.85 56.77  86.08    388.08  ...   \n",
       "2023-01-09                227.12 621.33 56.36  87.36    387.86  ...   \n",
       "...                          ...    ...   ...    ...       ...  ...   \n",
       "2023-12-22                374.58 752.53 86.49 153.42    473.65  ...   \n",
       "2023-12-26                374.66 762.68 87.06 153.41    475.65  ...   \n",
       "2023-12-27                374.07 764.03 86.66 153.34    476.51  ...   \n",
       "2023-12-28                375.28 757.85  86.0 153.38    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 561.2085  384.7125 241.5454 51.2682   \n",
       "2023-01-04                85.8569 562.4913  384.5855  239.886 51.6591   \n",
       "2023-01-05                 85.492 562.8685  383.8914 237.5425 52.0659   \n",
       "2023-01-06                85.5704  567.266  384.4499 235.8609 52.6931   \n",
       "2023-01-09                 85.809 574.4746  384.9046 234.6954  53.182   \n",
       "...                           ...      ...       ...      ...     ...   \n",
       "2023-12-22               150.2291 729.5784  467.0443 372.3694  80.507   \n",
       "2023-12-26               150.6532 733.9919  468.1918 372.6748 81.3807   \n",
       "2023-12-27               151.0115  737.997  469.3009 372.8609 82.0846   \n",
       "2023-12-28               151.3273 740.6441  470.2861 373.1834 82.6067   \n",
       "2023-12-29                151.409 742.8142  470.9559 373.5643 82.9711   \n",
       "\n",
       "           Keltner Channel Lower                                      \n",
       "                            AMZN     ASML Benchmark     MSFT      MU  \n",
       "Date                                                                  \n",
       "2023-01-03               79.8772 521.5313  369.5868 227.7411 47.5782  \n",
       "2023-01-04               80.0683 523.8756  370.2684  225.766 47.8391  \n",
       "2023-01-05               79.8805 525.3013  370.1729 223.5568  48.323  \n",
       "2023-01-06               79.8361 529.4475  370.9656 222.3709  48.876  \n",
       "2023-01-09               79.9633 534.3788   371.786 221.2083 49.2292  \n",
       "...                          ...      ...       ...      ...     ...  \n",
       "2023-12-22               143.582 702.3569  458.4686  360.838 75.7456  \n",
       "2023-12-26              144.6475 705.8705   459.586 361.7177 76.5921  \n",
       "2023-12-27              145.2786 710.7213  461.0894 362.4609 77.4675  \n",
       "2023-12-28              145.9187 713.6812  462.4818 363.1748 78.0338  \n",
       "2023-12-29              145.9404 715.9628  463.1245   363.92  78.514  \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>549.57</td>\n",
       "      <td>380.82</td>\n",
       "      <td>239.58</td>\n",
       "      <td>50.37</td>\n",
       "      <td>79.9044</td>\n",
       "      <td>511.0465</td>\n",
       "      <td>370.3085</td>\n",
       "      <td>229.2819</td>\n",
       "      <td>47.6353</td>\n",
       "      <td>86.0829</td>\n",
       "      <td>567.2214</td>\n",
       "      <td>384.96</td>\n",
       "      <td>243.0957</td>\n",
       "      <td>51.2357</td>\n",
       "      <td>92.2613</td>\n",
       "      <td>623.3963</td>\n",
       "      <td>399.6115</td>\n",
       "      <td>256.9095</td>\n",
       "      <td>54.8362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>85.14</td>\n",
       "      <td>570.83</td>\n",
       "      <td>383.76</td>\n",
       "      <td>229.1</td>\n",
       "      <td>54.2</td>\n",
       "      <td>80.5952</td>\n",
       "      <td>519.069</td>\n",
       "      <td>372.76</td>\n",
       "      <td>227.8693</td>\n",
       "      <td>47.8889</td>\n",
       "      <td>85.5579</td>\n",
       "      <td>563.1186</td>\n",
       "      <td>383.6593</td>\n",
       "      <td>241.1086</td>\n",
       "      <td>51.1614</td>\n",
       "      <td>90.5205</td>\n",
       "      <td>607.1682</td>\n",
       "      <td>394.5585</td>\n",
       "      <td>254.3479</td>\n",
       "      <td>54.434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>83.12</td>\n",
       "      <td>565.32</td>\n",
       "      <td>379.38</td>\n",
       "      <td>222.31</td>\n",
       "      <td>54.71</td>\n",
       "      <td>81.2488</td>\n",
       "      <td>527.4177</td>\n",
       "      <td>375.9537</td>\n",
       "      <td>225.2974</td>\n",
       "      <td>47.8584</td>\n",
       "      <td>84.9536</td>\n",
       "      <td>559.5086</td>\n",
       "      <td>382.2293</td>\n",
       "      <td>238.615</td>\n",
       "      <td>51.17</td>\n",
       "      <td>88.6583</td>\n",
       "      <td>591.5995</td>\n",
       "      <td>388.5048</td>\n",
       "      <td>251.9326</td>\n",
       "      <td>54.4816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>86.08</td>\n",
       "      <td>595.85</td>\n",
       "      <td>388.08</td>\n",
       "      <td>224.93</td>\n",
       "      <td>56.77</td>\n",
       "      <td>81.5858</td>\n",
       "      <td>525.3641</td>\n",
       "      <td>376.3731</td>\n",
       "      <td>223.1476</td>\n",
       "      <td>47.0479</td>\n",
       "      <td>84.7843</td>\n",
       "      <td>560.1879</td>\n",
       "      <td>382.1186</td>\n",
       "      <td>236.895</td>\n",
       "      <td>51.5079</td>\n",
       "      <td>87.9828</td>\n",
       "      <td>595.0116</td>\n",
       "      <td>387.864</td>\n",
       "      <td>250.6424</td>\n",
       "      <td>55.9678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>87.36</td>\n",
       "      <td>621.33</td>\n",
       "      <td>387.86</td>\n",
       "      <td>227.12</td>\n",
       "      <td>56.36</td>\n",
       "      <td>81.6899</td>\n",
       "      <td>516.0806</td>\n",
       "      <td>375.944</td>\n",
       "      <td>221.7508</td>\n",
       "      <td>46.6535</td>\n",
       "      <td>84.7486</td>\n",
       "      <td>563.5457</td>\n",
       "      <td>382.4464</td>\n",
       "      <td>235.64</td>\n",
       "      <td>51.8143</td>\n",
       "      <td>87.8073</td>\n",
       "      <td>611.0108</td>\n",
       "      <td>388.9489</td>\n",
       "      <td>249.5292</td>\n",
       "      <td>56.9751</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>86.49</td>\n",
       "      <td>142.781</td>\n",
       "      <td>678.3379</td>\n",
       "      <td>452.5967</td>\n",
       "      <td>367.0362</td>\n",
       "      <td>70.6243</td>\n",
       "      <td>149.4671</td>\n",
       "      <td>727.1171</td>\n",
       "      <td>466.3671</td>\n",
       "      <td>371.99</td>\n",
       "      <td>79.2257</td>\n",
       "      <td>156.1533</td>\n",
       "      <td>775.8964</td>\n",
       "      <td>480.1376</td>\n",
       "      <td>376.9438</td>\n",
       "      <td>87.8272</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>87.06</td>\n",
       "      <td>143.1151</td>\n",
       "      <td>683.6142</td>\n",
       "      <td>454.3559</td>\n",
       "      <td>366.9905</td>\n",
       "      <td>71.2638</td>\n",
       "      <td>149.9336</td>\n",
       "      <td>731.985</td>\n",
       "      <td>467.7279</td>\n",
       "      <td>372.1429</td>\n",
       "      <td>80.1807</td>\n",
       "      <td>156.7521</td>\n",
       "      <td>780.3558</td>\n",
       "      <td>481.0998</td>\n",
       "      <td>377.2952</td>\n",
       "      <td>89.0977</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>86.66</td>\n",
       "      <td>144.2918</td>\n",
       "      <td>691.8258</td>\n",
       "      <td>457.4323</td>\n",
       "      <td>367.6571</td>\n",
       "      <td>72.5967</td>\n",
       "      <td>150.5636</td>\n",
       "      <td>737.1243</td>\n",
       "      <td>469.2814</td>\n",
       "      <td>372.5193</td>\n",
       "      <td>81.1471</td>\n",
       "      <td>156.8353</td>\n",
       "      <td>782.4228</td>\n",
       "      <td>481.1305</td>\n",
       "      <td>377.3815</td>\n",
       "      <td>89.6976</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>86.0</td>\n",
       "      <td>144.9721</td>\n",
       "      <td>700.3232</td>\n",
       "      <td>460.0066</td>\n",
       "      <td>367.847</td>\n",
       "      <td>74.3021</td>\n",
       "      <td>151.0279</td>\n",
       "      <td>741.2814</td>\n",
       "      <td>470.6</td>\n",
       "      <td>372.8286</td>\n",
       "      <td>82.0293</td>\n",
       "      <td>157.0836</td>\n",
       "      <td>782.2397</td>\n",
       "      <td>481.1934</td>\n",
       "      <td>377.8101</td>\n",
       "      <td>89.7565</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>462.6933</td>\n",
       "      <td>367.7317</td>\n",
       "      <td>76.0374</td>\n",
       "      <td>151.3507</td>\n",
       "      <td>745.6021</td>\n",
       "      <td>471.6793</td>\n",
       "      <td>372.9579</td>\n",
       "      <td>82.7707</td>\n",
       "      <td>157.0493</td>\n",
       "      <td>778.0589</td>\n",
       "      <td>480.6653</td>\n",
       "      <td>378.184</td>\n",
       "      <td>89.504</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  85.82 549.57    380.82 239.58 50.37    79.9044 511.0465  370.3085   \n",
       "2023-01-04  85.14 570.83    383.76  229.1  54.2    80.5952  519.069    372.76   \n",
       "2023-01-05  83.12 565.32    379.38 222.31 54.71    81.2488 527.4177  375.9537   \n",
       "2023-01-06  86.08 595.85    388.08 224.93 56.77    81.5858 525.3641  376.3731   \n",
       "2023-01-09  87.36 621.33    387.86 227.12 56.36    81.6899 516.0806   375.944   \n",
       "...           ...    ...       ...    ...   ...        ...      ...       ...   \n",
       "2023-12-22 153.42 752.53    473.65 374.58 86.49    142.781 678.3379  452.5967   \n",
       "2023-12-26 153.41 762.68    475.65 374.66 87.06   143.1151 683.6142  454.3559   \n",
       "2023-12-27 153.34 764.03    476.51 374.07 86.66   144.2918 691.8258  457.4323   \n",
       "2023-12-28 153.38 757.85    476.69 375.28  86.0   144.9721 700.3232  460.0066   \n",
       "2023-12-29 151.94 756.92    475.31 376.04 85.34   145.6521 713.1454  462.6933   \n",
       "\n",
       "                            Middle Band                                      \\\n",
       "               MSFT      MU        AMZN     ASML Benchmark     MSFT      MU   \n",
       "Date                                                                          \n",
       "2023-01-03 229.2819 47.6353     86.0829 567.2214    384.96 243.0957 51.2357   \n",
       "2023-01-04 227.8693 47.8889     85.5579 563.1186  383.6593 241.1086 51.1614   \n",
       "2023-01-05 225.2974 47.8584     84.9536 559.5086  382.2293  238.615   51.17   \n",
       "2023-01-06 223.1476 47.0479     84.7843 560.1879  382.1186  236.895 51.5079   \n",
       "2023-01-09 221.7508 46.6535     84.7486 563.5457  382.4464   235.64 51.8143   \n",
       "...             ...     ...         ...      ...       ...      ...     ...   \n",
       "2023-12-22 367.0362 70.6243    149.4671 727.1171  466.3671   371.99 79.2257   \n",
       "2023-12-26 366.9905 71.2638    149.9336  731.985  467.7279 372.1429 80.1807   \n",
       "2023-12-27 367.6571 72.5967    150.5636 737.1243  469.2814 372.5193 81.1471   \n",
       "2023-12-28  367.847 74.3021    151.0279 741.2814     470.6 372.8286 82.0293   \n",
       "2023-12-29 367.7317 76.0374    151.3507 745.6021  471.6793 372.9579 82.7707   \n",
       "\n",
       "           Upper Band                                      \n",
       "                 AMZN     ASML Benchmark     MSFT      MU  \n",
       "Date                                                       \n",
       "2023-01-03    92.2613 623.3963  399.6115 256.9095 54.8362  \n",
       "2023-01-04    90.5205 607.1682  394.5585 254.3479  54.434  \n",
       "2023-01-05    88.6583 591.5995  388.5048 251.9326 54.4816  \n",
       "2023-01-06    87.9828 595.0116   387.864 250.6424 55.9678  \n",
       "2023-01-09    87.8073 611.0108  388.9489 249.5292 56.9751  \n",
       "...               ...      ...       ...      ...     ...  \n",
       "2023-12-22   156.1533 775.8964  480.1376 376.9438 87.8272  \n",
       "2023-12-26   156.7521 780.3558  481.0998 377.2952 89.0977  \n",
       "2023-12-27   156.8353 782.4228  481.1305 377.3815 89.6976  \n",
       "2023-12-28   157.0836 782.2397  481.1934 377.8101 89.7565  \n",
       "2023-12-29   157.0493 778.0589  480.6653  378.184  89.504  \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>-0.1485</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>-0.0336</td>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.2749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>-0.132</td>\n",
       "      <td>-0.2858</td>\n",
       "      <td>-0.3828</td>\n",
       "      <td>-0.5029</td>\n",
       "      <td>-0.0283</td>\n",
       "      <td>-0.0991</td>\n",
       "      <td>-0.154</td>\n",
       "      <td>-0.1579</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>0.1664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>-0.1398</td>\n",
       "      <td>-0.3416</td>\n",
       "      <td>-0.4303</td>\n",
       "      <td>-0.5622</td>\n",
       "      <td>-0.0062</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>-0.158</td>\n",
       "      <td>-0.1879</td>\n",
       "      <td>-0.3042</td>\n",
       "      <td>-0.022</td>\n",
       "      <td>-0.0667</td>\n",
       "      <td>-0.0779</td>\n",
       "      <td>0.0733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>-0.1615</td>\n",
       "      <td>-0.3739</td>\n",
       "      <td>-0.4848</td>\n",
       "      <td>-0.6205</td>\n",
       "      <td>-0.0118</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>-0.1299</td>\n",
       "      <td>-0.2321</td>\n",
       "      <td>-0.2883</td>\n",
       "      <td>-0.0235</td>\n",
       "      <td>-0.0683</td>\n",
       "      <td>-0.099</td>\n",
       "      <td>-0.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>-0.1785</td>\n",
       "      <td>-0.4074</td>\n",
       "      <td>-0.5464</td>\n",
       "      <td>-0.6731</td>\n",
       "      <td>0.0038</td>\n",
       "      <td>-0.0141</td>\n",
       "      <td>-0.0781</td>\n",
       "      <td>-0.1847</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>-0.068</td>\n",
       "      <td>-0.196</td>\n",
       "      <td>-0.2574</td>\n",
       "      <td>-0.0261</td>\n",
       "      <td>-0.0699</td>\n",
       "      <td>-0.1124</td>\n",
       "      <td>-0.0643</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 -0.1485 -0.1191   \n",
       "2023-12-26  -0.132 -0.2858 -0.3828 -0.5029 -0.0283 -0.0991  -0.154 -0.1579   \n",
       "2023-12-27 -0.1398 -0.3416 -0.4303 -0.5622 -0.0062 -0.0707 -0.1304 -0.1789   \n",
       "2023-12-28 -0.1615 -0.3739 -0.4848 -0.6205 -0.0118 -0.0456 -0.1152 -0.1911   \n",
       "2023-12-29 -0.1785 -0.4074 -0.5464 -0.6731  0.0038 -0.0141 -0.0781 -0.1847   \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  -0.158 -0.1879 -0.3042   \n",
       "2023-12-28 -0.0271 -0.0914 -0.1721 -0.2654 -0.0391 -0.1299 -0.2321 -0.2883   \n",
       "2023-12-29  0.0017 -0.0317 -0.1376 -0.2563 -0.0063  -0.068  -0.196 -0.2574   \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 -0.0336  0.0002  0.2749  \n",
       "2023-12-26   -0.0244 -0.0566 -0.0456  0.1664  \n",
       "2023-12-27    -0.022 -0.0667 -0.0779  0.0733  \n",
       "2023-12-28   -0.0235 -0.0683  -0.099 -0.0001  \n",
       "2023-12-29   -0.0261 -0.0699 -0.1124 -0.0643  \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",
       "    }\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>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>35.4228</td>\n",
       "      <td>33.0832</td>\n",
       "      <td>28.2343</td>\n",
       "      <td>39.9746</td>\n",
       "      <td>33.3761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-04</th>\n",
       "      <td>22.4117</td>\n",
       "      <td>34.1815</td>\n",
       "      <td>46.5699</td>\n",
       "      <td>33.5423</td>\n",
       "      <td>33.2782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-05</th>\n",
       "      <td>19.3288</td>\n",
       "      <td>35.5319</td>\n",
       "      <td>50.3995</td>\n",
       "      <td>31.9539</td>\n",
       "      <td>32.2076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-06</th>\n",
       "      <td>26.5394</td>\n",
       "      <td>52.7068</td>\n",
       "      <td>66.2767</td>\n",
       "      <td>44.9076</td>\n",
       "      <td>48.5958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-09</th>\n",
       "      <td>32.1407</td>\n",
       "      <td>62.428</td>\n",
       "      <td>64.3863</td>\n",
       "      <td>48.9566</td>\n",
       "      <td>54.6789</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>76.4757</td>\n",
       "      <td>67.9198</td>\n",
       "      <td>71.5557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-26</th>\n",
       "      <td>52.8442</td>\n",
       "      <td>74.6047</td>\n",
       "      <td>79.0526</td>\n",
       "      <td>64.9019</td>\n",
       "      <td>73.0909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-27</th>\n",
       "      <td>57.6399</td>\n",
       "      <td>76.1846</td>\n",
       "      <td>79.6061</td>\n",
       "      <td>72.4771</td>\n",
       "      <td>77.0052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-28</th>\n",
       "      <td>56.4531</td>\n",
       "      <td>71.3971</td>\n",
       "      <td>76.8595</td>\n",
       "      <td>68.7861</td>\n",
       "      <td>74.9594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-12-29</th>\n",
       "      <td>52.9165</td>\n",
       "      <td>72.6198</td>\n",
       "      <td>73.2319</td>\n",
       "      <td>62.4176</td>\n",
       "      <td>70.7612</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 35.4228 33.0832 28.2343 39.9746    33.3761\n",
       "2023-01-04 22.4117 34.1815 46.5699 33.5423    33.2782\n",
       "2023-01-05 19.3288 35.5319 50.3995 31.9539    32.2076\n",
       "2023-01-06 26.5394 52.7068 66.2767 44.9076    48.5958\n",
       "2023-01-09 32.1407  62.428 64.3863 48.9566    54.6789\n",
       "...            ...     ...     ...     ...        ...\n",
       "2023-12-22 56.6471 73.4666 76.4757 67.9198    71.5557\n",
       "2023-12-26 52.8442 74.6047 79.0526 64.9019    73.0909\n",
       "2023-12-27 57.6399 76.1846 79.6061 72.4771    77.0052\n",
       "2023-12-28 56.4531 71.3971 76.8595 68.7861    74.9594\n",
       "2023-12-29 52.9165 72.6198 73.2319 62.4176    70.7612\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",
       "    .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>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": {
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       "<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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