20211108_Visualização_das_maiores_criptos.ipynb

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  "metadata": {
    "colab": {
      "name": "20211108 - Visualização das maiores criptos.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOaKi+WEzRM9rBBNjnUnkhJ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Trading-com-Dados/tutoriais_publicos/blob/main/20211108_Visualiza%C3%A7%C3%A3o_das_maiores_criptos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 723
        },
        "id": "XjhVQuIVWP4S",
        "outputId": "05829f87-8e7f-471f-eb8d-b55a320cf0db"
      },
      "source": [
        "!pip install investpy\n",
        "import investpy"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting investpy\n",
            "  Downloading investpy-1.0.7.tar.gz (4.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.4 MB 8.1 MB/s \n",
            "\u001b[?25hCollecting Unidecode>=1.1.1\n",
            "  Downloading Unidecode-1.3.2-py3-none-any.whl (235 kB)\n",
            "\u001b[K     |████████████████████████████████| 235 kB 60.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: setuptools>=41.2.0 in /usr/local/lib/python3.7/dist-packages (from investpy) (57.4.0)\n",
            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from investpy) (1.19.5)\n",
            "Requirement already satisfied: pandas>=0.25.1 in /usr/local/lib/python3.7/dist-packages (from investpy) (1.1.5)\n",
            "Collecting lxml>=4.4.1\n",
            "  Downloading lxml-4.6.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (6.3 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.3 MB 20.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: requests>=2.22.0 in /usr/local/lib/python3.7/dist-packages (from investpy) (2.23.0)\n",
            "Collecting pytz>=2019.3\n",
            "  Downloading pytz-2021.3-py2.py3-none-any.whl (503 kB)\n",
            "\u001b[K     |████████████████████████████████| 503 kB 39.3 MB/s \n",
            "\u001b[?25hRequirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25.1->investpy) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.25.1->investpy) (1.15.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (2021.5.30)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.22.0->investpy) (1.24.3)\n",
            "Building wheels for collected packages: investpy\n",
            "  Building wheel for investpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for investpy: filename=investpy-1.0.7-py3-none-any.whl size=4495221 sha256=acaad1dc27ff3bf43cbaf3abc0853366cd3ab0ff57e4887ad596bff1a3959fa8\n",
            "  Stored in directory: /root/.cache/pip/wheels/50/bb/ee/760eeb6cc7ed8efc1b1b23b13b6b9f17fb1ed530fb04bd16f5\n",
            "Successfully built investpy\n",
            "Installing collected packages: pytz, Unidecode, lxml, investpy\n",
            "  Attempting uninstall: pytz\n",
            "    Found existing installation: pytz 2018.9\n",
            "    Uninstalling pytz-2018.9:\n",
            "      Successfully uninstalled pytz-2018.9\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 4.2.6\n",
            "    Uninstalling lxml-4.2.6:\n",
            "      Successfully uninstalled lxml-4.2.6\n",
            "Successfully installed Unidecode-1.3.2 investpy-1.0.7 lxml-4.6.4 pytz-2021.3\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "pytz"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 234
        },
        "id": "tNZgRo86VqiK",
        "outputId": "991054d0-69dd-47c0-c4d0-11c4f1895163"
      },
      "source": [
        "bitcoin = investpy.get_crypto_historical_data(crypto='bitcoin',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "bitcoin.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Currency</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020-01-01</th>\n",
              "      <td>7196.4</td>\n",
              "      <td>7259.4</td>\n",
              "      <td>7180.0</td>\n",
              "      <td>7199.8</td>\n",
              "      <td>420278</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-02</th>\n",
              "      <td>7199.7</td>\n",
              "      <td>7209.6</td>\n",
              "      <td>6901.4</td>\n",
              "      <td>6967.0</td>\n",
              "      <td>632778</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-03</th>\n",
              "      <td>6967.1</td>\n",
              "      <td>7402.9</td>\n",
              "      <td>6884.1</td>\n",
              "      <td>7343.1</td>\n",
              "      <td>936288</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-04</th>\n",
              "      <td>7345.1</td>\n",
              "      <td>7433.1</td>\n",
              "      <td>7291.4</td>\n",
              "      <td>7376.8</td>\n",
              "      <td>523909</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-05</th>\n",
              "      <td>7376.8</td>\n",
              "      <td>7501.0</td>\n",
              "      <td>7345.6</td>\n",
              "      <td>7372.5</td>\n",
              "      <td>628142</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              Open    High     Low   Close  Volume Currency\n",
              "Date                                                       \n",
              "2020-01-01  7196.4  7259.4  7180.0  7199.8  420278      USD\n",
              "2020-01-02  7199.7  7209.6  6901.4  6967.0  632778      USD\n",
              "2020-01-03  6967.1  7402.9  6884.1  7343.1  936288      USD\n",
              "2020-01-04  7345.1  7433.1  7291.4  7376.8  523909      USD\n",
              "2020-01-05  7376.8  7501.0  7345.6  7372.5  628142      USD"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "i7XBRU3kWfrU",
        "outputId": "a515ac5a-2413-4edb-d65a-3fa2c6a964b8"
      },
      "source": [
        "bitcoin.Close.plot()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcaccc81790>"
            ]
          },
          "metadata": {},
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "FxoPEfFRWxgH",
        "outputId": "535fb1f9-9996-4c56-b16c-6b7892270076"
      },
      "source": [
        "ethereum = investpy.get_crypto_historical_data(crypto='ethereum',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "ethereum.Close.plot()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcacaf51910>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ld0aU07d65BuAWcAvgd1AmzEmVGP0IFBlPa4CDgAYY3wi0g6UWtvXRJw28jWRP+tG4EaAadPiV1NaKRV/I5mc5fGN8A5ogoWWcrxiyRQuXjg5vP3BT51Gj9d33MsYDjRLF4I3cgcqVxFrI/pYMcb4jTFLgGqCvfN58WqQMeYeY8wyY8yy8vLy4V+glEpJxhiOtLuGnpyVwmUYeq3aOCtmlkZtL8xxxHzd2pBEVBwd1XcJY0wbsAo4HSgSkdDHUjVwyHp8CJgKYO0vBJojtw/wGqXUOPPi9gY63T6qh6gPbxNJ2Ru5ocXcEzF2PqQoJwWCvoiUi0iR9TgbuADYRjD4X2kddh3wmPX4ces51v4XTfCOyOPA1dbonhnAbGBtrN6IUiq17GvuAeD6M2cMekxK9/StoJ/jTNzI9pJUCPrAZGCViGwG1gHPGWP+CXwD+LKI1BLM2d9rHX8vUGpt/zJwC4AxZivwMPAO8DRwkzEmuuKQUmrc6OgNlhcYapSLTSRqUtNjmw5R19wd76aNSI8neMsyJw49/VBa/zcfP4VbLunLlhclYOnIYT/CjDGbgZMH2L6HAUbfGGNcwFWDnOtO4M7RN1MplW7ae73kZ2Vgtw2V0+8bpx8IGG5euYn8zAy23H5R+By5TvuAhcziLbR8YUVB7JdzzLAJXr+hOMcZldJJuZy+UkqNVEevNzyBaTCR6Z1uq2cdWmvWHzAsvv1ZvvX3t+Pb0EFsP9JBZoaNmtLYL1Qe+iDMctgpi1gjuDhF0jtKKTVq7b3eYStP2m228OSsDpcval+7lR56eP2B+DRwGNuPdDK7Ii8u3zIc1oLxwaDfF+i14JpSKm11uEbQ0xf6gr4V5ENauj1AMO+fDIdae5keh14+gN0axprtsId/R/MiavPHkxZcU0rFRWuPl1nleUMeY7MJ+1t6ePytw0zKj86dt/UkL+gbY6hvd3H+vElxOX+Gld5xZtgQEZ750tlMKcqKy8/qT3v6SqmYW7l2P7UNXZw0tXDI4+xWQP/in98ctKefjI5+R6+PXq+fysL4BOLTrAlfobILcyvzyR/hIixjpT19pVTM/fj5nSyeWsQNZ80c8rjIXnxkTt/nD9DWE/wQGGr0T7wcbg+O3InXzNsfXLmYz55zQkImY/WnPX2lVEz1eHwc7XBzwYmThqywCeCLmI0b2dN/dVcTX39ks3U+PzW3PBFV9TLemruC3zIib7LGUrbTzsKqob8FxYsGfaVUTNVZM3FHchPUGzEz60BrT/jxJ/+w7phj+4/uiacud/ADKFEpl0TSoK+Uiqn9LaGgP3zpYV+gL+hvPdQRflyQdWzmubHTHYPWjUyXO1gsIC8BVS8TTYO+UiqmGjpcACO6Cerx9aVsth/pCAf70rxjZ8EmMuiH1q3NzRx/6zxp0FdKxVSTlQ8fSfGwyJ5+j8dPRUHwgyK0utR/vW9+eP+/9jSHi6DFkzGGJ7bUAySkvn2iadBXSsVUc7eb4hzHiGayRub0fQFDntXT73T5mFGWy6fOnMErXzsPgJ+9sIuv/vUtXF4/DZ2u+DQe+PPaA6zd2wIMvLRhuht/70gplVTNXZ4B0zMD8fqjR+SEbpy29XjCAXdqSd+wyddrm7jlkc0sv/MFXN749PrX72sJPx5slat0pkFfKRVTzV0eSkdYLTKypw+Qb6VTuj19i4RHBt7MDBuPvXUYgDV7mmPR3GPsauga/qA0pkFfKXVcjDHsbjw2QDZ3uykd4fh2X7+efuRomYEWCc/M6KtKufVwxzH7x2pbfQdbDrXH/LypRIO+Uuq4/GXdAd79w5dZF5EOgWA+frjqmiH9e/p5WZFBv2/kzEnVwYlMAWNo7gqO4ulwRZdtiIVt9bH/IEk1GvSVUsflDetm5+5+6ZBut2/Eo158gf45/Yign9EX9B/41HIWVxdysLWX0Es6emM/WWtfUzc2gT9efxp/uXFFzM+fCsbfeCSlVEKESiK3R5RPCAQM3R7/yIN+/57+IOmdohwn582bxFsH+1Iv/Qu0xcLe5h6qi3M4c3ZZzM+dKrSnr5Q6Lq1W6ePI8gmh1a/yRxj0+xdTyx8kvQNErTAF8Unv7G3qoqYsPjX0U4UGfaXUcalvD46VD60le6itN/x4pD39e687NWpd2NzMjHAp5aGCfnVxdtQ3jFgwxrCvqYcZIygfkc406CuljktokZMDLT0YY3jX3S9yyU9fBUZevqCmLJfbL1sQfp5hs4W/JWT2G70TWfFyRlluzNM7TV0eutw+7ekrpVR/gYCh1ap3f7C195ihm/kDFEwbTGRP35kh4bx+/xFAkT39qqJs9jX38MK2o6Nu+2D2NXcDaNBXSqn+Ol0+/AHD9NIc3L4Av399X9T+XOfxBf0Mmw2vdYO4//KJ5dbz4hwHVy6tBoi6sTtWe5uCQX9GnNbFTRU6ekcpNWqhm7iLqgqpa+7hoTf248yw4fEFR+OMplBZVNC3S3hET6j4WkhuZgYrb1zB/CkFFGQ5KM5x0GotqTiQP66p43v/fIdz5pTz/asWD7tI+76mbjJsQnVxfFbLShXa01dKjVqLFfQXVxeFty2JeFyUM/LFR4ojqnE67bZwPZ7+QR9gxczScNqnONcZXkd3IN/6+9u4fQGefecoz2w9MmQbGjvd/Oql3UwtyRlRobh0Nr7fnVIqLkI97Mgl/yIXTRkoYA/GGVHJMsNuC4/PrygYumhbSc7AQX/17ib+8PreqG3D3fQNzSq+YH7FiNqczjS9o5QatdBN3KqibPKzMuh0+Zha0hf0h1sbdzAZNuHB60/jqS31w6ZjSnKdbDrQxtbD7SyY0vfh89HfvXHMsZ3DLLUYmlX8pffMPo5Wpxft6SulRi3U0y/OdUSlW8bKYbdx4uQCvnzh3GHLGpfkOmnodPPen7027Hm73EMH/drGLqqKsskZxQ3odKVBXyk1aq09Hhz24PDKAqtHHuqZ28ZQgt5hH/mLpxSN/IZr5xCzd40xvLGnJVzUbbwb/x9rSqmYa+3xUJTjRETC69rmZdp56avnjmmJwdGkheZV5ocfG2OG/GYwVHpn+5FOjnS4OG/upBH/7HSmPX2l1KgEAoZXdzVRnBPdw/f4AtSU5YbH0x+PjFH09OdGBH2PNcyzfxrnla+dx5KpRUOWbHhxewMA584tH01T05YGfaXUkP61uzlqlapfv7ybg6297GsOFlr7zmULeN9Jkzl7ztiD5mh6+tNLc1k8NThM1OUNBv1DVu2fkGmlOTR1uVm9u5n5//U0ddas20hPvV3PoqpCJo1ixFE606CvlBrSNb9bw9X3rOHh9QdYt6+FRzYcBOC7Vs2cKUXZ/OKjp4zpJmhoPVyHbXQhKTQz1+0Lrpe7t6mvHESoFERouGaPx8/KdQeiXl/b0MXbhzrC55kINOgrpUbk63/dzBf//CZ7mrr54vmzuHr5tJide/mMEgDso0jvQN+Hhdvq6e9p6uvJhwq5/emGFZw4uWDA14dKLyyZWjTg/vFIb+QqpUYsVE55dkX+MEeOzq8/vpQdRzqjFlEZiVD5ZbdV/qGuqYeyvEzWf+s94WMWVhXy1M1n8a67X6S+LTr9U98efD65aGKkdmAEPX0RmSoiq0TkHRHZKiI3W9tLROQ5Edll/V1sbRcR+ZmI1IrIZhE5JeJc11nH7xKR6+L3tpRSsWCMGXB7qGceK3mZGSydXjzq14V7+lZ653B7L1WDBPApRVkctj60Qg619eKwC2W5x3/zOd2MJL3jA75ijJkPrABuEpH5wC3AC8aY2cAL1nOAS4DZ1p8bgV9D8EMCuA04DVgO3Bb6oFBKpaZuj/+YbTecNWNUZRbiKRT0Qzdyj7S7mFw48Pj9yYXZ4Z59yOG24PG2sUwuSDPDBn1jTL0xZqP1uBPYBlQBlwP3W4fdD1xhPb4ceMAErQGKRGQycBHwnDGmxRjTCjwHXBzTd6OUiqnIoY6hoZnZKTRrNdNaPL3b7aPD5eVIu4vKwoE/kCYXZXGgpZe3DwXLMXv9AVbXNrGoamJMygoZ1Y1cEakBTgbeACqMMfXWriNAqFJRFRB5i/ygtW2w7f1/xo0isl5E1jc2No6meUqpGGu3auxcuqiSq0+dCoAjhXrFodW1rr1vLSd951k63T4mDxL0p1jfAN7382DZhu31nTR3e7h4YWViGpsiRhz0RSQPeAT4kjGmI3KfCSb+Bk7+jZIx5h5jzDJjzLLy8okxWUKpWHl5ZyO/XFUbs/M1dAZz4NedXhOurVOalzr576yMY5dl7L+Aekjkh4Hb5w+XZhjLZLJ0NKLvaSLiIBjwHzLGPGptPioik40x9Vb6psHafgiYGvHyamvbIeDcfttfOv6mK6Uief0BrrtvLQDNXR7+6/3zhzze5fXjC5ghR8xsOtCGCMyfUsCSaUVkO+x8eFnqjGnvv44uRC/KEqk0Yo3dAy09dFqzd0c7YijdjWT0jgD3AtuMMT+K2PU4EBqBcx3wWMT2a61RPCuAdisN9AxwoYgUWzdwL7S2KaVioM6aIQtwX7968gP54K9Ws/C2of8Lvrm/jbkV+eRnOcjMsHPdGTUptchIZsaxbRlsAZdTphXz6bNnArB2b2u4Hs9o1vMdD0bybt8FfALYIiKbrG23AncDD4vI9UAd8GFr35PApUAt0AN8EsAY0yIi3wPWWcd91xjTEpN3oZTiQEtP1HOvPzBkWYN36oNZWo8vELWQSaTahi6W1aTuILvMAdI7kStxRRIRvnzhHH77yh5u/duW8PaJ1tMf9t0aY14DBrtz8+4BjjfATYOc6z7gvtE0UCk1Mgdag0H/C+fP4ucv1tLe6x0wv/27V/awP+IDYk9TF/Mqj52x6vL6Odzey4yy1Enn9FeW5yTbYafX2ze0dKi6/pkZds6cVcZrtU3hbXkTrKefOt/TlFKjFggYfvDMDmobOqlr7iHLYWPWpDwA2nqOXUrQGMOdT27jwTV14W07jnQOeO665h6MgRllufFpfAyICBu+/R5+ds3J4W0FwwTxe65dyhff3bdC1kDfFsYzDfpKpbHdjV38YlUt7//569Q2dDGjLC+c3mjrObac8N6mY6tM3rxyE//xl03sb45OD/1z82FEUr8uTY4zg4VT+r6pDLfiVo4zg5NT/D3FkwZ9pdLY5oPBiUa9Xj8v72xkbkVf0G8dIOgf6ld7JuRvbx7i7O+v4uWdfXNjXq9tYtn0YqaXpm5PP6TMGnZ5zQiLwC2oGrgA20SgQV+pNLX9SAe3/m0LWQ4bs62UzpzK/PDoldYB0jv1/WrP9PeriDH+zd2eQUsapJqCLAcbv30Bd31g4YiOn5QfHLOfQvPMEmZi3cFQapwwxnDxT14FoKY0hx9/ZAkvbGvgmlOnYbPSGwMtEXjECvr//MKZvO/nr/H7fzuV02aWcNeT2zjU2hse0QPBsf6RY9tT3WDj8wfz1m0X4rNW3JpINOgrlWa63T62R9x8/eAp1SysKmShVUPGHwhOjh9oMfD6dheluU4WVhWy+65LsVtd3TuuWMSPn9vJSzsb8foD+AOGLrdv0Nmt40GoltBEo0FfqTTz5Yc38czWowB85/3z+cTpNVH77TYhx2mna4Ce/sHWHqYUZYePizS5MAtjoL7Nxaf/uAGA0lH2nlXq05y+UmlmQ11r+PHsivxjgjcEZ5kOlN7Z19xNzSBDMCdbHwaPbTrENivNE1qkRI0fGvSVSiNPbamnqavvBu1geey8zAy63NFB3+MLcKi1lxmlOQO+ZuGUAvKzMvjhczsBuGRhJRfMrxjwWJW+NOgrlUY++9DGqOeDpV/yshzHjN451NZLwMC0QYZgluZlcvGCvjLDd3/oJHInWImCiUCDvlJppLhfMbHBSg50ubys3t3MoxsPhrc1dARH7lQOserVtJK+bwHDzWxV6UmDvlJpJDLIX7Z4yqAF1XY3BmfePvfO0fC2hk43MHT9+GkRqZ/hZraq9KQf5UqlkVCdmKe/dNaARdJCZpTlsrepmylF2by4/Sg/eX4Xuxu6AJg0RNCfW5kPwBknlMaw1SqVaNBXKo209Xi4cmn1kAEfYOWNKzjtrhfo6PXyqT+sj9o31Pj0eZUFvPaN89JmJq4aPQ36SqWRlm7PiGaeVhRkcWIokusAABdYSURBVOLkggHr79iGqT1QXTzw6B41PmhOX6k00evx4/YFBl0kpL/inOgRPJkZNlbeuCJezVNpQoO+UmmixQrgJbkjKx9QnOuktbsv6F9/5gxWzNRc/USnQV+pNBEK4CPt6c8sy2WPVT9/xcwSvnzBnLi1TaUPDfpKpYmW7lBPf2RB//IlVeHHC6YUptSC5ip59CpQKk2E8vNFI+zpz5qUx0+vXgJArlNr6KggHb2jVIrpcvto6fJwuL2XB9fU8fOrT+atg22s3dsCjK5u/OVLqijJdXJqTUm8mqvSjAZ9pVLMktufxRcw5DrtdHv8HG13sT6isuZo68CfNbs81k1UaUzTO0qlkG63D5+1CIojI/jfMzLgw7F18JUaDQ36SqWQUH0cgGytZa/iQIO+UikkVAkTgvXv+/vaRXMT2Rw1DmlOX6kkuv0fW1k6vZj3nTQFgKMRPf3mbg8zy3PZY1XM3Hf3e5PSRjW+aE9fqSTpdvv4/ev7+Pyf3sTl9QNwoKUn6pjZk/KS0TQ1jmlPX6kk+f4zO8KPNx1o49GNB3licz0ZNgnfzJ1WksPcinyuP2tGspqpxhkN+kolwbp9Lfxh9b7w8xseWB9eyPwnH1nCl/6yCYBrlk/jP987PxlNVOOUpneUSoLQRKuvXhishxMK+ADLaorDj2eWa3pHxZYGfaWS4GiHi8JsB++ZXxG1/V2zSslx6hdwFT96dSmVBEfaXVQUZFKU3VdSYWFVAb+7dhk2XZtWxZEGfaWS4GiHi4qCrKiSCstrgr18Y0wSW6bGOw36SiVBfbuL2RX5ZDn6Mqw1ZcFlCkWEb733RF3wRMWFBn2lEqytx0NDp5sTyvOQiFROTWlu+PG/nzUzGU1TE8CwN3JF5D4RaRCRtyO2lYjIcyKyy/q72NouIvIzEakVkc0ickrEa66zjt8lItfF5+0olfq2H+kE4MTJ+QDMLA8G+8igr1S8jGT0zh+Ai/ttuwV4wRgzG3jBeg5wCTDb+nMj8GsIfkgAtwGnAcuB20IfFEpNNNvrOwA4cXIBAPd/cjlfv3guU0uyk9ksNUEMG/SNMa8ALf02Xw7cbz2+H7giYvsDJmgNUCQik4GLgOeMMS3GmFbgOY79IFFqQthW30lJrpNJ+ZkATC3J4XPnzopK9SgVL8c7Tr/CGFNvPT4ChAYbVwEHIo47aG0bbPsxRORGEVkvIusbGxuPs3lKpa7tRzqYV5mvQV4lxZgnZ5ng+LKYjTEzxtxjjFlmjFlWXq4r/qjx50BrLzPKNH+vkuN4g/5RK22D9XeDtf0QMDXiuGpr22DblZpwulw+Cka55KFSsXK8Qf9xIDQC5zrgsYjt11qjeFYA7VYa6BngQhEptm7gXmhtU2pCcXn9ePwB8jJ1tLRKjmGvPBH5M3AuUCYiBwmOwrkbeFhErgfqgA9bhz8JXArUAj3AJwGMMS0i8j1gnXXcd40x/W8OKzXudbmDhdUKsjToq+QY9sozxlwzyK53D3CsAW4a5Dz3AfeNqnVKjTOhapp5GvRVkmiVTaUSqCsU9DM1p6+SQ4O+UgnU6fYCkK89fZUkGvSVSqBwekdv5Kok0aCvVAKFgn5BlqZ3VHJod0OpBPnRszt4ZOMhnHYbkwoyk90cNUFp0FcqAW55ZDMr1wUrkSyuLiTLYU9yi9REpUFfqTjrdvv4vw0HqSrK5qzZZVzQb11cpRJJg75ScbZxfyv+gOH/fXARZ8/RelIqufRGrlIx9srORu56chu9Hj8Aa/e2YLcJp0zXJSRU8mlPX6kY+tVLtfzP0zsA+PPa/dz9wZN4flsDC6cU6DBNlRL0KlRqCD5/gP/bcJBz5pQzpSib+17by4HWHg609HDb+xdQnp8Zvinr8wf45Yu1nDKtiNYeL3uburnpTxsBuOOKhcl8G0qFadBXagirdjTyzUe3UFmQxWvfOI/v/vOd8L7ntzUwszyXv9/0Lnrcfr648k26PX6uO6OGHGcGNzywHoArl1bz8RXTk/UWlIqiOX2lhrB2bzMARzpc/H3T4WP272ns5qTvPMvX/voWa/e2MCk/kzNOCI7QeeBTywG46bxZCW2zUkORYGHM1LRs2TKzfv36ZDdDTVB1zd2850cvU5TjpLHTTVmek9YeLxu/fQEPrN6HI8PG3U9tDx9/7enTuf2yBVHLIBpjdFlElXAissEYs2ygfZreUWoQT799BK/f8MfrT+PKX6+mqcvD6TNLKcx28IV3zwbg3LnlbD7Yzt/fPMRnzz3hmACvAV+lGg36Sg3ilV2NzK3IZ25lPu9fMoW/bjjIVy6cE3XMvMoC5lUW8OFlUwc5i1KpRXP6Kmnq23v5xYu78AdSI8XY2Onmf57eztq9LZz/g5d4vbaZc+YGJ1Pd9YFF7PjexSyrKUlyK5UaG+3pq6S59dEtrNrRyCnTijljVllS2vDPzYe555U9FOU4eWVnIwC/eml3eP8lCyvDjzVVo8YDDfoqLp7deoTb//EOM8pyuWpZNZcvqYra39jpZvXu4MiYl3Y2Ji3of/5Pb4YfzyjL5cIFFdy/eh+3XnoiHz9tOjabBno1vmjQVzFR19yNIBTnOnBm2Ljt8a3Ut7vIsAs3r9zEzSs38chnz2Dt3hauP3MGP3puJ25fAIBN+9vi1q7Wbg+f/MM6AJZNL+aSRZUsnV6Cy+vnnfoOAHKddn7x0VM4c3YZDruNr1wwF2eGZj7V+KRDNtWYPPRGHQ/+q4665h56vf6ofd+/8iQ+cHIV1/xuDev2tR7z2vedNJmSXCcP/KuOlTeuYMXMUnz+AHc+uY25FflUFmbx+9f3sXR6MZ879wQy7EMH4i63j/9+ajvTS3M4Z045rT1efv1SLat2NJLlsOHyBj9kzplTzqu7GgkYqC7O5okvnEVhji5qosYPHbKp4sIfMPzn394GYF5lPo2dbpq7PQDUlOZw4YJKMuw2/u8zZ/CLF3fx9qEOnnnnCKW5mVwwv4JbL53H+rpWHvhXHd95fCu//cRSvvZ/m1m7ryXq57y8s5HMDBvXnVHDpgNt1DZ00dzl4eKFleQ47TgzbGyoa+Xbf387/PPveGJb+PUXzq/g1x9fyv2r9/HU2/VsPthGwMDcinx+9JHFGvDVhKI9fXXcntxSz+ce2siliyr5yUdORgRsInj9ATJsMmzPPOSTv1/Lqh2N4ecfO20aq7Y3UJzr5D8vPZGfvbiLNXtahjhD0EnVhdx66YlMys/kx8/vYnpJDjabcPWpU5lSlH3c71OpdKM9fRVTq2ub+P6zO9h0oI35kwv4wVWLo3LgdtvoVoX60NJqVu1opCTXyXWn13Dze2ZH7TfAmj1vAPC9KxaydFoxxbkO/rimDrc3wM6GLvIzM7jjioUU5zoB+Pk1J4/tTSo1Tk24nr7HF6DT5aUk14kvYHCMsDeqgt7Y08xH7lkDwJKpRfzkI0uoKcsd83l9/sCQ3wzW7Wvh8U2Huf2yBTqiRqlhaE/f0tzl5iP3rKG2oYtl04tp6fHwhfNn8cTmeq49vUZXNRrGjiOd3PSnjZTkOln1lXNjmgsfLhV0ak0Jp+rEKKXGbEIF/W88spnahi4A1tcFR5P8x1/eAuDVXU28fsv5lOVlAsGe5z8313P2nHJKrJRBqnpjTzOrdjRiMMwozcUXMDR0uinNdXLu3HKmFudgALtNONrhYvXuJt59YgUFWdFBu73HyzNbj+DxB6gqzsYYw6T8LOZW5rOtvsOqDS/8/JolevNTqTQ17oO+1x/goTV1PLftKK/XNvPps2dy1bJqej0BDrT20NLtobIgixsfXM+Ku17gQ6dUs/1oJ067sG5fKydVF/L458+MaxuNMXS4fGTYhCyHHbtNBqzO2N7rxRhDUU7fh9DKtfu55dEtQ54/x2nH5fUzuTCbQ229QHBs+inTi8nPyuBIu4vy/Exe2NaAb4CSCHab4A8Y7DbhweuXc8YJyZlIpZQau3Ed9F1ePzc+uCE8vX5uRT6fPfeEcNBcVF0YPvaz557Aw+sP8pf1BwDCS9ttPtjOVx5+iy9fOIeqGI8A8fkDvFbbxKrtDdz/rzoASnOdiAhtPR7mVubzww8v5u9vHqa+vZdnth7B5Q2Q5bCxZGoRDruNV3c1AXDd6dO5ZNFkqouzERHynBn86qVa8jIz2NfcQ1m+k4YON609Hs6cVcauo138bdMhirId5GZmcLTDzWkzS7hs8RSWTi+mocONzSbsb+lh19FOZpTlcVJ1IQurCod6S0qpFJe2N3L9AcOb+1uZUpSNTYSKgkx6PH6efecIj248RK/HH07h3PWBRXz0tGkj+pnbj3QwKT+Lklwn+5q6ueSnr9Lr9bN8RgkPf/r0Ebe9vdfL0Q4XDruNGdaNzgMtPXzpL5uoKsomNzODF7cf5WiHO/yaG86aQUOnm5d2NDKtJIcth9qjzvmeEyvIcth4cXsDOc4MPD4/Fy2o5L/eP5/8rNGnW3z+AHabaE0ZpcaZtL+RG/pgMgaautxc9dt/caTdFZ7GD8GZlQ2dbjzWttmT8vi3M2o4/YRSLlpQOeB5BzKvsiD8uKYsl3e+exG3/m0LT245MuJzBAKGK3+9ml3W/YNz5pTjsAvPb2sAYIP1YXT+vEnc9v5q5lXmU1OaGx6V4g8YbAJ/3XCQrYc7+MipU8nMsDGzPA8YfqTLSMXiHEqp9JLSQf9oh4tbHtnMSzsa6fb4cHsDePzBoH71qVOZNSkPnxUg1+9rZdl0Ox9aWs2SqUXH1fMdiIhQU5pLe6+Xe1/by7WnT+fJLfWs3dtCU5eb9l4vWQ47S6YW4fIG2FjXGp5RWl2czYmTC9h5tBOf3+CwC9+5bAHLa0rocPlYOr14wJ9pt4L/VcumctUA+zVYK6WOV0qndzInzzazbvg5syrymVeRT5fbx+yKPKaV5PDBU6oT1o7HNh3i5pWbBtxXXZyNyxugqcuNCMwqz2P5jBKmFGVzw1kzoyYteXwBLeSllIq7tE3vzKvM541vX0CWY3QzPGPt5KnBHvmKmSUc7XCzbHoxX75wDpv2t3H+iZNw2m3UNfeQ5bBTWZg16Hk04Culki2le/qpVHsnEDA6E1QplRaG6uknvOspIheLyA4RqRWRWxL984+XBnyl1HiQ0KAvInbgl8AlwHzgGhGZn8g2KKXURJbonv5yoNYYs8cY4wFWApcnuA1KKTVhJTroVwEHIp4ftLaFiciNIrJeRNY3NjailFIqdlJuOIkx5h5jzDJjzLLycq16qZRSsZTooH8ImBrxvNrappRSKgESHfTXAbNFZIaIOIGrgccT3AallJqwEjo5yxjjE5HPA88AduA+Y8zWRLZBKaUmspSenCUincCOMZyiEGgf9qjYvQ6gDGg6zteO5eeO9fXJaney2jyWnz3Wf6dk/K6T1Wa9pkcnVtf0XGNM/oBHGGNS9g+wfoyvvyeRrxtrm8fyc9O13clqc7Kuj2T9rpPVZr2mE9fmyJ891HlSbvROjP0jwa8bq7H+3HRsd7LaPJafrW1O3M9Nx3an9PWR6umd9WaQ+hGpKh3bDOnZ7nRsM6Rnu7XNiRGrNg91nlTv6d+T7AYch3RsM6Rnu9OxzZCe7dY2J0as2jzoeVK6p6+UUiq2Ur2nr5RSKoY06Cul1ASSEkFfRLqS3YbREpErRMSIyLxkt2W0hvt9i8hLIpISN8BEpFpEHhORXSKyW0R+as3mHuz4L4lITiLbOJh0u671mk6MZF/TKRH009Q1wGvW3yNmrSmgRkBEBHgU+LsxZjYwB8gD7hziZV8CUiLopyG9puMsFa7plAn6IpInIi+IyEYR2SIil1vba0Rkm4j8TkS2isizIpKd7LYCZwLXE6wfhIicKyKviMgT1spgvxERm7WvS0R+KCJvAacnr+V9rPb+M+L5L0Tk35LYpIGcD7iMMb8HMMb4gf8APiUiuSLyAxF5W0Q2i8gXROSLwBRglYisSmK7w9LlutZrOmGSfk2nTNAHXMAHjDGnAOcBP7Q+FQFmA780xiwA2oAPJamNIZcDTxtjdgLNIrLU2r4c+ALBVcFOAD5obc8F3jDGLDbGvJbw1qavBcCGyA3GmA5gP/DvQA2wxBhzEvCQMeZnwGHgPGPMeQlu62DS5brWazoxkn5Np1LQF+AuEdkMPE9wcZUKa99eY8wm6/EGgr+YZLqG4KpfWH+Hvg6vNcFVwfzAnwn2nAD8wCOJbeK4dy7wW2OMD8AY05Lc5gwqXa5rvaaT71wScE0ntMrmMD4GlANLjTFeEdkHZFn73BHH+YFkfg0uIfgVbZGIGILVQg3whPV3pNBzl/WfJpX4iP7QzxrswCR6B7gycoOIFADTgH3JaNBxSPnrWq/phEr6NZ1KPf1CoMH6j3EeMD3ZDRrElcCDxpjpxpgaY8xUYC9wFrBcgmsF2ICPELwplqrqgPkikikiRcC7k92gAbwA5IjItRC+YfhD4A8Ey3N/WkQyrH0l1ms6gYGrCyZHOlzXek0nTtKv6aQHfesNuoGHgGUisgW4Ftie1IYN7hrgb/22PWJtXwf8AthG8D9N/+OSLvT7NsYcAB4G3rb+fjOpDRuACU4X/wBwlYjsAnYSzJHfCvwvwTzoZutm4ketl90DPJ3sG7lpdl3rNZ0gqXBNJ70Mg4gsBn5njFme1IaMkYicC3zVGPO+ZLdlKOPl953qxsPvWa/p8SmpPX0R+QzBm0PfSmY7Jgr9fSeG/p4TR3/Xo5f0nr5SSqnESWhPX0SmisgqEXnHmpBys7W9RESek+C05OdEpNja/jFrksIWEVltfY0Lnetia8JIrYjcksj3oVSkGF/X94lIg4i8naz3o8a3hPb0RWQyMNkYs1FE8gmOTb4C+DegxRhztxXAi40x3xCRM4BtxphWEbkE+I4x5jTrjvdO4ALgIMGbTdcYY95J2JtRyhKr69o619lAF/CAMWZhUt6QGtcS2tM3xtQbYzZajzsJjgioIjgb8H7rsPsJ/ofBGLPaGNNqbV8DVFuPlwO11qQRD8HJJJcn5l0oFS2G1zXGmFeAVJ1opsaBpN3IFZEa4GTgDaDCGFNv7TpC34zFSNcDT1mPq4ADEfsOWtuUSqoxXtdKxV1SZuRKsLjTI8CXjDEdfaVIguNYrVmBkcefR/A/x5kolaL0ulbpIOE9fRFxEPyP8ZAx5lFr81ErLxrKjzZEHH8SwUkLlxtjmq3Nh4CpEaettrYplRQxuq6VirtEj94R4F6CN7F+FLHrceA66/F1wGPW8dMI1p7+hFX9L2QdMNuaHu4kWAr28Xi3X6mBxPC6ViruEj1650zgVWALELA230ow//kwwaJDdcCHjTEtIvK/BMvN1lnH+owxy6xzXQr8hGBxqPuMMUMtQqBU3MT4uv4zwWqLZcBR4DZjzL0JeitqAtDJWUopNYEkveCaUkqpxNGgr5RSE4gGfaWUmkA06Cul1ASiQV8ppSYQDfpKRRARv4hssqplviUiX7GWChzqNTUi8tGhjlEqVWjQVyparzFmiTFmAcEqrpcAtw3zmhr6lrZTKqXpOH2lIohIlzEmL+L5TIIzwMsILmr+IJBr7f68MWa1iKwBTiS4huz9wM+AuwlOssoEfmmM+W3C3oRSQ9Cgr1SE/kHf2tYGzAU6gYAxxiUis4E/G2OW9V9LVkRuBCYZY+4QkUzgdeAqY8zehL4ZpQaQlCqbSqUpB/ALEVkC+IE5gxx3IXCSiFxpPS8EZhP8JqBUUmnQV2oIVnrHT7BC5m0E6+EsJng/zDXYy4AvGGOeSUgjlRoFvZGr1CBEpBz4DfALE8yDFgL1xpgA8AmCxf4gmPbJj3jpM8BnrXLLiMgcEclFqRSgPX2lomWLyCaCqRwfwRu3oXLJvwIeEZFrgaeBbmv7ZsAvIm8BfwB+SnBEz0ar7HIj1lKJSiWb3shVSqkJRNM7Sik1gWjQV0qpCUSDvlJKTSAa9JVSagLRoK+UUhOIBn2llJpANOgrpdQEokFfKaUmkP8PmZHl/B3xkvUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "id": "g9yaOvidW81M",
        "outputId": "16b97109-58d9-4ac6-bba6-033c92127e49"
      },
      "source": [
        "binance = investpy.get_crypto_historical_data(crypto='binance coin',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "binance.Close.plot()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcad8f30c90>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 234
        },
        "id": "GnoR43b0Wh_j",
        "outputId": "47fa64f9-de12-40c2-c69c-f00dd6675995"
      },
      "source": [
        "solana = investpy.get_crypto_historical_data(crypto='solana',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "solana.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Currency</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2020-06-04</th>\n",
              "      <td>0.586</td>\n",
              "      <td>0.590</td>\n",
              "      <td>0.561</td>\n",
              "      <td>0.589</td>\n",
              "      <td>558954</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-05</th>\n",
              "      <td>0.589</td>\n",
              "      <td>0.698</td>\n",
              "      <td>0.575</td>\n",
              "      <td>0.661</td>\n",
              "      <td>578564</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-06</th>\n",
              "      <td>0.661</td>\n",
              "      <td>0.661</td>\n",
              "      <td>0.609</td>\n",
              "      <td>0.625</td>\n",
              "      <td>548267</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-07</th>\n",
              "      <td>0.625</td>\n",
              "      <td>0.626</td>\n",
              "      <td>0.591</td>\n",
              "      <td>0.608</td>\n",
              "      <td>426422</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-06-08</th>\n",
              "      <td>0.608</td>\n",
              "      <td>0.682</td>\n",
              "      <td>0.608</td>\n",
              "      <td>0.667</td>\n",
              "      <td>550094</td>\n",
              "      <td>USD</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Open   High    Low  Close  Volume Currency\n",
              "Date                                                   \n",
              "2020-06-04  0.586  0.590  0.561  0.589  558954      USD\n",
              "2020-06-05  0.589  0.698  0.575  0.661  578564      USD\n",
              "2020-06-06  0.661  0.661  0.609  0.625  548267      USD\n",
              "2020-06-07  0.625  0.626  0.591  0.608  426422      USD\n",
              "2020-06-08  0.608  0.682  0.608  0.667  550094      USD"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "2zpUk0ChWo2q",
        "outputId": "e08d69da-3316-4647-9584-ee7cddbd0e2e"
      },
      "source": [
        "solana.Close.plot()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcacaf6e390>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "rgb2R441WsSw",
        "outputId": "7b0ea6e4-92bf-4573-f1ac-43a682c4ae72"
      },
      "source": [
        "tether = investpy.get_crypto_historical_data(crypto='tether',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "tether.Close.plot()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcacad14450>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "O32yvPQFXJK5",
        "outputId": "43b701d9-316b-40a3-eb7e-ccef769f9da6"
      },
      "source": [
        "cardano = investpy.get_crypto_historical_data(crypto='cardano',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "cardano.Close.plot()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcacac25c50>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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dP5KUUjkpGI7EJsU4HZIbAd3O0D0uBxv+7SJKvKkd7TJePo+Tbl1tUSmVKcGIiS09mysBPWjPFPU4HdSWFGS4N/1euv6iMW8crQFdKZUyoXAEl8PO0CVHArqdobtd2bUJamnB2H9T0MW5lFIpEwqb2H6cTocQyoGAHi25jHeFxWyS+59AKZU1AuFILDAOV3LpC4b5h19uYm9TVzq7l1QwPPCiaC7L/U+glMoaoXB8Dd0x5LDFDftaeey14/z7w6+ls3tJRZf51QxdKaXihCJxNXTH0BOLAnEXIjNtb1MXHpeDCl92jG6ZiMx/m0qpvBGMy9D9oQi/2niI+14+MKhdj716oGece3em0iv7W1k+qxyvK7uX+R2NzH+bSqm8EYpEYjvznOixVl78yV/2AvDakfZYZn6ix1o9MBvKHPuau1lSN/blbbNR5r9NpVTOe2lPC//0qy28erh9wDh0gIgxHDnRy2W3P88Na7cD0NKVHQE9EjF0+kOUpXjp3EzRcehKqQm7+qfrY7djo1xECGMwBrr91lKwG/a1ANBqr+/dO8aZkKnWHQhhzPjGfGcjzdCVUinlkP7MHKwd66MC4QhPbD/OL9ZbdfUuf2jwC6RRh73meElBfuS2GtCVUikVHXseC+iA394bMxCK8NtNh2NtOzMc0Dv7rDp/qZZclFJqsFDECt7ROUURY/CHrNJKdBLPkuklLKgpZufxcW1+ljIdvZqhK6XUkBJnh0aMNYQRrAy9JxCm0OOkuthDY4d/QEkm3TrsPVC1hq6UUkkEEyYTGWPos8edWwE9RJHHSX21jy5/iMe3N2SimwB0+vOr5KIBXSmVUtGSS5SJz9DDdobudlFf7QPg07/clPY+RnXZF0V93tyfVAQa0JVSE/TdR3cOuB8KJ5Zc+jN0gN5gGJ/XyUnTMj+Zp8++WFvo1oCulJri+oJh7nx274Bjw9XQAbr9YYo8TmaWF3LVW2cnfU669No/aAo0oCulprr4zDsqcQ30iDH449p1+0MUuq1RJYunW1n6gusf5Zk3Giexp8n1BcO4HJLxGaupkh+fQimVET32TM/SAhe3XrUcSF5D74vL0HuDVoYODJhy/8jWY5Pd3UH6gpG8yc5BA7pSagKiJYtvvfdUTp9TAQyuoRtjYhOLogqTBPSaEu9kdjWpvlCYAnf+hMH8+SRKqbSLrsVS5HHFyhaJJRcDsYlFUcky9L5gmAc3H+aH63ZPYo8H6guE8ypDz4/pUUqpjIhm6IVuJ8X2bMtzFlQNaGONchmYofs8Vtv48d/H2nv52Yv7AfjgylnUlhRMVrdjrAw9fwK6ZuhKqXGL1tALPU6KvS6e+fL5fO+KpQPaBEIR/rjt6IBj0ZLLotpibnr/aSysLWb93tbY4y/taZnknlv6gpG8GbIIowjoInKPiDSKSNLN/0TkfBFpF5Et9p+vp76bSqlsFC25RINifbVv0M4/EQMNHX7eddr02LFoyUVEuOrMOcypLKLdnoYP0Njhn+yuA1b/p1oN/WfAJSO0ec4Ys9z+c+PEu6WUygW9QWumZTRAD2fZrPLY7cKE9hVFngH3Gzv7UtC7kU25kosx5lmgdaR2Sqmppzdgz7QcRUCvLu4fxVLkGXj5rjJug+ZppV4a0pSh67DF5FaLyFYReUxEThmqkYhcJyIbRWRjU1NTit5aKZVqkYjh6IneEdv1BKwMfTQBvazQHdueLjGjr/BZGbrLIcyt9PH87uZBI2MmQ19wimXoo7AZmGuMWQbcDjw0VENjzJ3GmJXGmJU1NTUpeGul1GT45iPbOfumpwfUtZNJrKEPp8DtpMRepjYxoFfaJRenQ1g8vYTW7gBP7xx65mgqlty97ucb2dfcTYFratXQh2WM6TDGdNm3HwXcIlI94Z4ppTLm3pesLeJGytJ7g2HczuRT5x+4bhXXrJ4bu+91O2IbSSSWXKIZeqXPw5cvXgzAkWHe+9Jbn2PNHc+P4pMkZ4zhiR3Wsr0zygvH/TrZZsIBXUSmi1ibCIrImfZrpmfMkVIq5eIXyjrePvzFyZ5hJuasml/FVy49OXbf64oP6AOfU+y1jteWFlBa4KLQ7RzyvY0xvH68k62H20f+MEOI7iUKML/GN+7XyTYjTiwSkfuB84FqETkM3AC4AYwxPwauAP5BREJAL3CVyeQWJEqpCdnX3BW7fWyEgN4Xty5LMvFDAr0uJyVeNyJWcI83u6IIgI+cNQcRoa6sgLue38fcqiI+urp+QNumzv4LpuGIwemQET9Toqa4UTQz8yhDHzGgG2OuHuHxO4A7UtYjpVRGbT/av8/n8fbhSy49gfCg8kk8+5d3oD9DL3I7BxwHmFNVxI4bL4691vSyAvY2d/PvD28fFNC3HDoRu/3+/3mBhz5zzqDXG0l0FE1dWQGnzSob03OzWf5cDVBKpcTRE1b2Wl3sYW9z97Bte8cwSsTrdlDp8wy53Vv8D4aFtcVDvs66N/pHyG093M6r4yi97LM/1/99atWgiVC5TAO6Unns9eMdHGzpGdNz2noCeF0OVsypYOexjmHb9gaGL7nE87qcfOaChdx+9YoR2542M3nW/IMn3uD+DQc5d1F1bLneg61j+3x9wTD3PL+PxdNKmFtZNKbnZjsN6ErlsUtueY7zvr9uTM9p6w5Q6fNwcl0p+5q7k25iAdDeE+T53c2jXgulwO1gdmURK+srR2z7vhUzgf6LpQC7G7u4/WlrJcZZFUWcf1ItAA0dY5tV+v3H32Bvczf/9u6TcYyj/p7NNKArpQZo6wlQXuRhVnkhETPwImTUNx/ZzrIbnwDA5RxdUPSMYVcgl9PBtWfXIwJX37med9z8F1493F87rynxUlpoBftv/3Env9l4iMgot7F7cPNhLltax3kn5d9cGA3oSqkB2nqCVPrcVBVbY8NbugMDHv/aQ9v43xf2x+53xQ0BHI5rjNu8eV0OAqEIL+1tYXdjF1/69dbYY5GIGXAh9F9++yp/eXPk2eedfUHaeoKcOkRJJ9dpQFcqRx1u6+HQMPXj0Wasidq6rQy90p7s09rdn6Efau3hl+sPDmjfOcqAPlZel2PA5tLx3vGWaQCcNa+/fPPXuNEvyfQFw9xrr7ceHSaZbzSgK5WjrrlnA+f+57ohZ1R2BcYeaI0xNHX5qfJ5YotpNXf1Z+jr9/bPGfzgGbMAK+sdzikzSsfcDwBvktr8v1y8mP03vZvls62VG+//1Cp2f+dSlkwvYesIAf1Lv97Cfz3xJgBz8uxiaJQGdKVy1J4ma+jdf/7p9aSPx2fO331056hes7U7QGdfiLlVvljJpTWu5LK7yZp09P7TZ/Ivlywe9D7J/ObTq9lw/UWjev94yWruHz5rzoD7Dofgcjo4aVoJe+MmRCV643gnj247zqr5lXz4rDksnl4y5v7kAg3oSuUgY0xsdMlQQwvja9t3Prt3VK8bHXc+v8ZHkcdFgdtBS1d/yaWpw8+sikJuvnI51T4rg/+nd5407GsWeVzUlo59Ozlvko0nSguSj2GfV+3jcFtv0hUaXz18gotveRaAf71kCd9532l48mhBrnj5+amUynNd/lBsP8+h1g4fqRSSzF47A19QbU3sqfJ5+elz+/j+49ZvAQ2dfdSWWIHc4RD23/RuPv62eWN+n9FIlqEPNcxwfo0PY+DOvwz+wfXQX63t7269ajkrZpcPejyfaEBXKgc12kMJF9YW094bTDpWfCwXKy/6wTPc/OSb7G3qxuN0MLPCWt/E57V+C/jhuj2A9cNj2jiy7fFIzNDLhphhCnDeohp8Hid/3HZs0GN/ebORt59Uw5rlM8e8RECu0YCuVA5qtgN69IJjssk10Q2co4ZaM6+zL8iepm5ue2oXe5u7mVtVFFvwKpQwUqahoz9Dn2weZ/9F0WvPrueua1YO2bbC5+Hac+rZ1dg14IfbodYe9jR18/Y8HHOejAZ0pXJQNFhHL+69vG/wLpGJWXtvMExvIMzarUfxh8JssJ/zxvHOWJsndzQMWE42FO4P6OGIobMvFFu7fLLFr8j4kVVzeesIM0xPmVFGOGLY1dB/cfT/NlhDLC9YUjs5ncwyGtCVykHd9pDE80+qZVFtMb/bdBiw1i+PbrAcHcP9JfuiZWt3gDvW7eLz9/+V1f/xNFf+5CW2HjrBtiMDF7eKD5yhcP848BM91miX+On4kyn+wmV50dDllqjoD6L9LdaF3eYuP//7wj7WLJ/BvOr8WfN8OBrQlcpB0Qy9pMDFgppi2uxgu+o/nuLM7zwF9Gfo0bLMn3c00Be0AnR0KOKaH77ANx/ZMeC1P/TW2bHb8Znt7kYr8/WlKaDHZ+jD1c+jomPLX9zTTGNnHz99bi/+UITPX7Ro0vqYbTSgK5WDont5FnmclBe5aesZPKKlzx7Cd87CahbVFvOXN5tiOwZVFLkHbA8X9avrVsX2/QS44T2n8L0PnAbAmw1WaSZtAT1uYlGyLe4SFXlcVPk83L/hEFf86CV+8dIBLls6gwU1Qy/Fm2/S8y+jlEqpaMmlyOOivMhDU6efh7cciT1ujMFvZ+Nel4MZ5YW02JOGAO665q2cMbeCTn+IBzcf4ZuXn8IbDZ2cPrdiwPt4XA5Wz7e2CP73h7cDUOxNz/rh4ymTXLa0jntfOhBbUvfas+tT3KvspgFdqRzUGwgjYi1JW2HXl7/wwJbY4209QfpCYTwuByJCdbGXXQ2ddPQGqSsr4Aw7cN+45lQuXFLLu0+rG3JI3/SygcMUfcPsUJRKZYVuCtwOhNEPNfzmmlOB/k2u82l7udHQgK5UDuoJhGNbuSXbYGLDvlb8wQgFdh26uthDc1eA9t7ggNmWxV4Xly2dMex7eVwOLlxSy9OvNwLpK7kAbPzaOwdsWj0adXFBfDS193yiNXSlckRrd4Arf/ISbxzvpCcQotDOlJPVzx945SD+UP/2cFXFHgLhCE/saIitIz4W17/r5NjtdI1yib7XWIPyjLiAXpBk+YB8phm6Ujli+9F2Nuxr5eJbnuWiJbWxWZwfXDmLJ3c0cPvVK9h0oI21W4/yjL3v5uxKK7jF79c51Hoow4m+DkBxQXaHjZnl/SWifJ8Zmmhq/fhSKofFlx6eebMptjhXXVkhj3zubdRX+/jAGbNiy94CFNgbIL//9Jmxcd2JNfHR8LqcsUw5nRn6eNSVTa26eTwN6ErliPiZn+GIGTKwVsRNwokO9yvyuGLrly+dNb7dep77fxfwwHWrYmWcbJWupQmyUXb/qFVKxfQmTOVfNsTKgfFVhua4pW8/e+FCDHD5spnjev/SAjer5leN67npNNat7vLJiAFdRO4BLgMajTGnJnlcgFuBdwE9wLXGmM2p7qhSU11vYOB2bKuHCK6BuG3bGuM2eK4rK+S77zttcjqXZb727pOpmYKZ+mgy9J8BdwA/H+LxS4FF9p+zgB/ZfyulUigxQ48ucZsofgPkilGsgZKPPnnu/Ex3ISNGDOjGmGdFpH6YJmuAnxtrbc71IlIuInXGmMELEyulxi1x9cToFnGJrjhjFivmlON2OvC6srverVIrFTX0mcChuPuH7WMa0JVKob5gGIdAdLBLZVHygC4iLKzNzz0z1fDSevVARK4TkY0isrGpqSmdb61UzusNhGNDFWFqX/xTyaXijDgCzI67P8s+Nogx5k5jzEpjzMqamqmxg4hSqdIbDFOYZJq/UlGpKLmsBT4rIg9gXQxt1/q5UhMXiZgBmyL3Bq2p/P96yWJ6/IP3EFVqNMMW7wfOB6pF5DBwA+AGMMb8GHgUa8jibqxhi383WZ1Vaqpo7OzjzO88xTcvP4Vr7CVg+4JWyeUfz1+Y2c6prDWaUS5Xj/C4AT6Tsh4ppTjebm0jd8Pa7dRX+zhvUTWHWnspyvJp9yqz9OxQKgvFTw764dO7cTuEbUfa+daaUzLYK5Xt9DK5UlkousHzotpi9jZ38cirRynyOLnijNkjPFNNZRrQlcpC0UlEc6t8NHcFWLvlKO84eZqOclHD0oCuVBaKZujzqq2d7LsDYd67YvidhZTSgK5UFvKHrAw9uidmodvJBYtrM9kllQM0oCuVhfxBK0M/c14VK+aU85tPr55yu++osdNRLkploWjJZXpZAb//x3My3BuVKzhPY7oAABSESURBVDRDVyoLRUsuXpf+F1Wjp2eLUlkoWnLRgK7GQs8WpbKQPxTB6RBdUVGNiZ4tSmUhfyis2bkaMz1jlMpCfcGIBnQ1ZnrGKJWF/CFrqVylxkIDulJZyB/SDF2NnZ4xSmWh1u4APl0qV42RBnSlskwwHGHTgTZOn1OR6a6oHKMBXaks8+SOBnoCYc47SffdVWOjAV2pLHP/hoPMrSriwiW6GJcaGw3oSmWRQCjCK/tbuWBxLU6HLsalxkYDulJZZG9zF33BCKfP1fq5GjsN6EplkdauAAA1xd4M90TlIg3oSmWRtp4gABU+d4Z7onKRBnSlskhbj5WhVxR5MtwTlYs0oCuVRdq6rYBeXqQZuho7DehKZZG2niA+jxOvS9dxUWM3qoAuIpeIyBsisltEvpLk8WtFpElEtth/Ppn6riqV/9p6AlT4tNyixmfExSJExAn8EHgncBh4RUTWGmN2JDT9lTHms5PQR6WmjLaegNbP1biNJkM/E9htjNlrjAkADwBrJrdbSk1Nbd2aoavxG01Anwkcirt/2D6W6AMi8qqI/FZEZid7IRG5TkQ2isjGpqamcXRXqfzW1hOkQi+IqnFK1UXRR4B6Y8xS4Eng3mSNjDF3GmNWGmNW1tTowkNKJWrr1pKLGr/RBPQjQHzGPcs+FmOMaTHG+O27dwFnpKZ7Sk0dwXCETn9IA7oat9EE9FeARSIyT0Q8wFXA2vgGIlIXd/dyYGfquqjU1PDUzkYAKnWWqBqnEUe5GGNCIvJZ4HHACdxjjNkuIjcCG40xa4HPi8jlQAhoBa6dxD4rlXciEcM31m4HYGFtSYZ7o3LVqPa4MsY8CjyacOzrcbe/Cnw1tV1TaupY90Yjxzv6uPnKZaxeUJXp7qgcpTNFlcoCj2w9SnWxh/csm5HprqgcpgFdqTR5cPNhGjv78IfCgx471NbLotoS3E79L6nGT7cVVyoNdjd28qVfbwVgYW0xf/7S22OPtXUH2HSgjQ+cPitT3VN5QtMBpdJg/d7W2O3djV3c8uc3+b+XD2KM4eJbngWgukSHK6qJ0QxdqRTrC4bp6A1SW1oQO7b10Amqiz186Z2Luf7327jlz7sAuP7322Jtij3631FNjJ5BSqXYl3+zlT+8egyAb7/3VD6yai57mrpYUFNMXXl/kJ9VUcjhtl6mlXq54T2ncP5inT2tJkZLLkql2GOvHY/dvmHtdq788UtsPniCOZVFsb1CZ1UU8p8fWArAKTPKeNdpdRRphq4mSM8gpVKsrqyAw229AIQjhg37rfr54uklzK/xMb20gG+tOZUz51Xy6bcv4GOr52ayuyqPaEBXKsW8LusX389duJDbn94NwEOfOYcl00socDtZf/1FsbZfuXRJRvqo8pOWXJRKscZOP9eeXc+nzptPkcfJFy5axPLZ5RS4dVs5Nbk0Q1cqhdp7g3T2hZhWWkBpgZutN/yNThZSaaNnmlIptOXQCQCWzioD0GCu0krPNqVSaMO+FhwCy2aXZ7oragrSgK5UihhjWLv1KGcvqKbYq9VMlX4a0JWaoL8ebOPGR3aw6UAbh1p7uWxp3chPUmoSaBqhprRQOILTIQC8uKeFOZVFzK4sStq2vTdIkcc5oC5ujOGLv9rCgZYe7nlhHwDnLKye/I4rlYQGdDVl9QXDrLnjBd4yo5TOvhB/3tkAQG2Jl3MWVnPlytmsXlBFMBzhvvUH+MYjOwBrtcRV8yt534pZ3PXcXg609PC3Z83hcFsvi2qLh/yBoNRkE2NMRt545cqVZuPGjRl5b5VcW3eAf/ntq/x5ZwNXnzmHuVVF1FcVsa+5h00H2gDDijkVXLiklmA4QntvkCXTS6kp8Wa66+Ny85NvcttTu4ZtM63Uy6LaEp7f3QzAyrkVtHYH2NvcHWtT4Hbw8lffQVmR7gWqJp+IbDLGrEz6mAb0qeORrUcxgMfp4NFtx3A5hI+unktNiZdg2PDdR3fy5I6GMb/u/BofN15+KkvqSqi21ypp7Q7Q7Q9lbba6v7mbv7nlWc5bVMOGfS109IV48SsX4nIKv9l4mJnlhXz30Z00dvoBuO68+Vy5chYLa0vo6Auy9BtPAHD/p1ZRX11EXVlhJj+OmkI0oCt2NXRy6a3PEYoM/+991rxKvv6et9ATCHP0RC+vHm7nQ2+dDcD0sgI2H2ijoaOPSp8XpwO+9Yed7IvLVj917jy6/CEe3HwEA/z+H8/mlBllE+6/MSa2PsqM8kJO9ATwup3sPNbB3Cpr0SsRGfCczr4gbqcDr8sReywSMRw50cu/PfQamw+08dQ/v52eQBiXQwb98OkLhvEHIzR19Q3auLm5y8+Wgyd4x1umTfizKTUWGtCnqFA4whM7GjjY2sMvXjpAZ1+Qj79tHlXFXk6fU05dWSFP7WzgtSPt1JYWMKuikBWzK5hTNbasetOBVl7Y3cLNT74ZO3b+4hqeeaMJgF9dt4p51T4Otvbw+vFOSgvdLJ5WQoXPHQvER0708puNh3j9WCdOp3DRklpcTgdFbieH23q4Y91umrsCgPUbRiAcGdCHurICzl9cy/tWzGRvUxezKor42kPb2N/Sg8shiIDL4aCq2BP7wfC1d5/MJ8+dP5GvWKm004Cew4wxvLinhf/bcJDOvhBFbifTSr2sXlBNfXURgVCEjfvbmF5WQDAcoanTT21pASUFLn60bk9spb+SAhffv2IZl5w6fdL6GgxHWL+3hYoiD6fOLOMba7fzsxf3D/ucskI3f3vWHJ7Yfpw9Td1MK7VKNg0d/gHtzl5QxbuX1hGJGN5s6KKs0M2uxk5Wza/CGGuEyrO7mgiEBgZ6t1P48Flz8bgctHYH2NXQybLZ5cyt8nHN6rm4dCanyjF5H9AjEcPe5m4e2XqUmeWFrFkxA4/T+jXbGDPoV/Fc8dTOBj5xr/UdOQSmlxZQ6HGyp6l7hGf2m1leyE8+eganzpx42WOsAqEIz+1qYuuhExR5XdRXFbFkeikt3X52HO2gvTfIw1uOsquxC4DPX7SIL160iIgx/HlnA6WF7tjOPytml4/479jU6Wf93hYCoQg+r4uV9RWxmr5S+SIvAnpfMMxDfz3CtiPt+EMROnqD7G/p5kRPkKYuP4kfo6LITaHbSXN3gLefVMN1581nUW0xzV3WxbqWbj+r5ldN+qYCrd0BXjvSTtgYqnweegNhuvwhSgqs/h1q68HpELYf7WDnsQ58HiczKwpp7w3yy/UHAfjY6rl84m3zmFvlA6C9J8gvXz5Apc+D2+ng7AVVtHQFaOrqY9mscpq7ArzR0Mmq+ZVJa8vZpL03yAu7m3E6hItPmbzfHpTKFxMO6CJyCXAr4ATuMsbclPC4F/g5cAbQAnzIGLN/uNdctuJ089s//YVdjV2xi1LdgRAb97exv6Wbxg4/lT4Px9r7KHA7YqvYOR1CaYGLiiIP08sKmF1RREmBi7ryQt6zrI7NB07w4p5m9jV3U1Psxed18bvNh+kJhAf1oa6sgPMW1fCRVXM5bdboMlhjDK8f76S5y4/H6WBulQ+HQF8wwsHWHgyGtp4gT+1s4JV9rRxt7xvV64pAeaGb9t4g0euWb62v4LarV+gICqVUzIQCuog4gTeBdwKHgVeAq40xO+La/COw1BjzaRG5CnifMeZDw72ut26RqbvmlkHHC91OTppWzLTSAnsZUi/dgTClBW7eu2IG5yyoxuEYW8Z5qLWHrYdPcLC1h9ICN7UlXkIRw70v7mf70Q66/CEuWlJLbamXY+19HGzpobjARXOnn2DEUFbopjcQ5kRPgN5gmBEGigBQXezl1JmlLJ9dTnmhm4W1JXZm7sLndbGvuQu308H86mIixlBb6qWm2OpXW0+AskI3Xpeun62UGmiiAX018A1jzMX2/a8CGGP+I67N43abl0TEBRwHaswwLz7/5KXmlgf+xMzyAmpLrAt6LoeDCp+bkoL0TdBY90Yjn7x3I1U+D13+EHOrfMytLKKl28/Mcisz7vKHKfY6qS72Uuix/l48vYQTPQFau4OEjcEYw7xqHx6nA4M1AUUvuCmlUm24gD6aAvJM4FDc/cPAWUO1McaERKQdqAKah3rRSp+Hy5fNGMXbT64LFtey69uXjjnrV0qpbJPWFFJErhORjSKysampKZ1vPSwN5kqpfDCagH4EmB13f5Z9LGkbu+RShnVxdABjzJ3GmJXGmJU1NTXj67FSSqmkRhPQXwEWicg8EfEAVwFrE9qsBa6xb18BPD1c/VwppVTqjVhDt2vinwUexxq2eI8xZruI3AhsNMasBe4GfiEiu4FWrKCvlFIqjUY1q8YY8yjwaMKxr8fd7gM+mNquKaWUGgsdV6eUUnlCA7pSSuUJDehKKZUnMrY4l4h0Am9M4CXKgPY0Pg+gmmEmS03i+07k+RPp80Ted6LPzdR3PdF/p0z0Oxe/54k+PxfPj1T9X1xsjClJ2sLY09bT/QdrhMxEnn9nOp830T5P5H0n+Hkz8j3n6nedgn+ntPc7F7/nXO13pvoc/97DvU4ul1weSfPzJmqi75uL/dY+p+e9c/F7TsXzM/G+WX1+ZLLkstEMscBMttI+p4/2Oz1yrb9RudjvVPV5uNfJZIZ+Zwbfe7y0z+mj/U6PXOtvVC72O1V9HvJ1MpahK6WUSq1crqErpZSKowFdKaXyxKQHdBHpmuz3SDURea+IGBFZkum+jNVI37eIPCMiWXExSURmicjDIrJLRPaIyK32ip5Dtf+iiBSls49DybXzWs/p9Mj0Oa0ZenJXA8/bf4+avf+qGgUREeBB4CFjzCLgJKAY+M4wT/sikBUBPQfpOT3JsuGcTktAF5FiEXlKRDaLyDYRWWMfrxeRnSLyUxHZLiJPiEhGt7gXkWLgbcAnsJcBFpHzReRZEfmjiLwhIj8WEYf9WJeI/EBEtgKrM9fzfnZ//xB3/w4RuTaDXUrmQqDPGPO/AMaYMPBPwMdFxCci/yUir4nIqyLyORH5PDADWCci6zLY75hcOa/1nE6bjJ/T6crQ+4D3GWNOBy4AfmD/NANYBPzQGHMKcAL4QJr6NJQ1wJ+MMW8CLSJyhn38TOBzwFuABcD77eM+4GVjzDJjzPNp723uOgXYFH/AGNMBHAQ+CdQDy40xS4H7jDG3AUeBC4wxF6S5r0PJlfNaz+n0yPg5na6ALsB3ReRV4M9Ym0pPsx/bZ4zZYt/ehPWhM+lq4AH79gP0/4q6wRiz1/6pez9WxgMQBn6X3i7mvfOBnxhjQgDGmNbMdmdIuXJe6zmdeeeThnN6VBtcpMCHgRrgDGNMUET2AwX2Y/64dmEgk7+aVmL92nSaiBisHZoM8Ef773jR+332f4hsEmLgD+uCoRpm0A6s7QpjRKQUmAPsz0SHxiHrz2s9p9Mq4+d0ujL0MqDRPukvAOam6X3H6grgF8aYucaYemPMbGAfcC5wplj7qjqAD2FdYMpWB4C3iIhXRMqBizLdoSSeAopE5GMQu/j2A+BnWNsd/r1YG45HgxJAJ5B8lbnMyIXzWs/p9Mn4OT2pAd3uvB+4D1gpItuAjwGvT+b7TsDVwO8Tjv3OPv4KcAewE+s/RGK7jIt+38aYQ8Cvgdfsv/+a0Y4lYawpyu8DPigiu4A3sWrS1wN3YdUdX7UvzP2t/bQ7gT9l+qJojp3Xek6nSTac05M69V9ElgE/NcacOWlvkgYicj7wZWPMZZnuy3Dy5fvOdvnwPes5nZ8mLUMXkU9jXWj52mS9h+qn33d66PecPvpdj50uzqWUUnkiZRm6iMwWkXUissOeTPEF+3iliDwp1lTYJ0Wkwj7+YXuA/TYRedH+1Sr6WpfYkx12i8hXUtVHpcYqxef1PSLSKCKvZerzqPyWsgxdROqAOmPMZhEpwRp7+17gWqDVGHOTHZwrjDH/T0TOBnYaY9pE5FLgG8aYs+wrw28C7wQOY124udoYsyMlHVVqDFJ1XtuvdR7QBfzcGHNqRj6Qymspy9CNMceMMZvt251YV85nYs1Su9dudi/WfwaMMS8aY9rs4+uBWfbtM4Hd9oSHANZEiDWp6qdSY5HC8xpjzLNAtk6SUnlgUi6Kikg9sAJ4GZhmjDlmP3Sc/pl08T4BPGbfngkcinvssH1MqYya4Hmt1KRL+UxRsRYC+h3wRWNMR//SFtY4TXu2Wnz7C7BO/LehVJbS81rlgpRm6CLixjrp7zPGPGgfbrDrkNF6ZGNc+6VYA+7XGGNa7MNHgNlxLzvLPqZURqTovFZq0qVylIsAd2NdELo57qG1wDX27WuAh+32c7DWDv6ovQpc1CvAIntKsgdruc+1qeqnUmORwvNaqUmXylEubwOeA7YBEfvw9Vj1xl9jLVBzALjSGNMqIndhLSl6wG4bMsastF/rXcAtWAsJ3WOMGW6BeKUmTYrP6/uxVt2rBhqAG4wxd6fpo6gpQCcWKaVUntAt6JRSKk9oQFdKqTyhAV0ppfKEBnSllMoTGtCVUipPaEBXU4aIhEVki71q4lYR+Wd7+7XhnlMvIn87XBulsoUGdDWV9BpjlhtjTsFazfNS4IYRnlNP/3ZhSmU1HYeupgwR6TLGFMfdn481M7kaa4PnXwA+++HPGmNeFJH1wMlYe27eC9wG3IQ1QcgL/NAY85O0fQilhqEBXU0ZiQHdPnYCWIy1+3rEGNMnIouA+40xKxP33hSR64BaY8y3RcQLvAB80BizL60fRqkkUr7aolI5yg3cISLLgTBw0hDt/gZYKiJX2PfLgEVYGbxSGaUBXU1ZdskljLVS4g1Y66ssw7q21DfU04DPGWMeT0snlRoDvSiqpiQRqQF+DNxhrLpjGXDMGBMBPoq1MBxYpZiSuKc+DvyDvaQuInKSiPhQKgtohq6mkkIR2YJVXglhXQSNLon7P8DvRORjwJ+Abvv4q0BYRLYCPwNuxRr5stleWrcJe/s5pTJNL4oqpVSe0JKLUkrlCQ3oSimVJzSgK6VUntCArpRSeUIDulJK5QkN6EoplSc0oCulVJ7QgK6UUnni/wO+GbAatQs1TwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "wT4CAelQXSaL",
        "outputId": "6204a935-13f6-4c3d-db2d-b785f99a0487"
      },
      "source": [
        "xrp = investpy.get_crypto_historical_data(crypto='xrp',\n",
        "                                           from_date='01/01/2020',\n",
        "                                           to_date='06/11/2021')\n",
        "\n",
        "xrp.Close.plot()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcacaa1b610>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V8gm0oNIXVSo"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}