AliceBlue_Sample_Program_5_Coding_and_Plotting_Simple_Moving_Average_Indicator_of_Infosys_Using_Python_By_Unofficed.ipynb

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      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/aeron7/alice_blue_pro/blob/main/AliceBlue_Sample_Program_5_Coding_and_Plotting_Simple_Moving_Average_Indicator_of_Infosys_Using_Python_By_Unofficed.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Let's install the Library\n",
        "!pip install alice_blue"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lu6dFBeb3vOX",
        "outputId": "94d266f2-a0a1-474d-b508-7d25f0e9eda5"
      },
      "execution_count": null,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/krishnavelu/alice_blue.git@develop\n",
            "  Cloning https://github.com/krishnavelu/alice_blue.git (to revision develop) to /tmp/pip-req-build-ypx8fep2\n",
            "  Running command git clone -q https://github.com/krishnavelu/alice_blue.git /tmp/pip-req-build-ypx8fep2\n",
            "  Running command git checkout -b develop --track origin/develop\n",
            "  Switched to a new branch 'develop'\n",
            "  Branch 'develop' set up to track remote branch 'develop' from 'origin'.\n",
            "Collecting cryptography\n",
            "  Downloading cryptography-38.0.1-cp36-abi3-manylinux_2_24_x86_64.whl (4.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 4.0 MB 15.8 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pytz in /usr/local/lib/python3.7/dist-packages (from alice-blue==2.0.3) (2022.2.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from alice-blue==2.0.3) (2.23.0)\n",
            "Collecting websocket_client\n",
            "  Downloading websocket_client-1.4.1-py3-none-any.whl (55 kB)\n",
            "\u001b[K     |████████████████████████████████| 55 kB 3.1 MB/s \n",
            "\u001b[?25hRequirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.7/dist-packages (from cryptography->alice-blue==2.0.3) (1.15.1)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi>=1.12->cryptography->alice-blue==2.0.3) (2.21)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->alice-blue==2.0.3) (3.0.4)\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->alice-blue==2.0.3) (1.24.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->alice-blue==2.0.3) (2022.6.15)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->alice-blue==2.0.3) (2.10)\n",
            "Building wheels for collected packages: alice-blue\n",
            "  Building wheel for alice-blue (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for alice-blue: filename=alice_blue-2.0.3-py2.py3-none-any.whl size=35040 sha256=291812c016c03deea8b0692a11a75d689f49004b902c106e98d1f4b89bfcd65d\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-g6m2dy4q/wheels/f6/c8/7c/5fa1c2f0d20829ef7bf42b48667da66482e0971bf2f1cb4dd0\n",
            "Successfully built alice-blue\n",
            "Installing collected packages: websocket-client, cryptography, alice-blue\n",
            "Successfully installed alice-blue-2.0.3 cryptography-38.0.1 websocket-client-1.4.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Copying the base code to get the alice function\n",
        "\n",
        "#Importing AliceBlue Library\n",
        "from alice_blue import *\n",
        "\n",
        "#Only Replace it with your credentails\n",
        "#Follow https://unofficed.com/how-to-activate-the-api-in-alice-blue-for-automated-trading/ for generating api_ID and api_Secret \n",
        "\n",
        "#Only Replace it with your credentails\n",
        "username    = \"enter_your_user_name\" \n",
        "password    = \"enter_your_password\" \n",
        "twoFA       = \"enter_byear\"\n",
        "app_id      = \"enter_app_id\"\n",
        "api_secret  = \"enter_api_secret\"\n",
        "\n",
        "#Generating Session ID\n",
        "session_id = AliceBlue.login_and_get_sessionID(username=username,password=password,twoFA=twoFA,app_id=app_id,api_secret=api_secret)\n",
        "\n",
        "#Generate an Alice object using the session_id\n",
        "alice = AliceBlue(username = username, session_id = session_id, master_contracts_to_download=['NSE', 'BSE','NFO','MCX'])"
      ],
      "metadata": {
        "id": "_1_eUIe830Z1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import datetime\n",
        "import pandas as pd \n",
        "import numpy as np \n",
        "from matplotlib import pyplot as plt \n",
        "\n",
        "payload = alice.historical_data(alice.get_instrument_by_symbol(\"NSE\", \"INFY-EQ\"),datetime.datetime(2022, 9, 15),datetime.datetime(2022, 9, 20),HistoricalDataType.Minute)\n",
        "df = pd.DataFrame.from_records(payload[\"result\"])\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "dVqrNoPmA-6m",
        "outputId": "3e4a0254-309a-481e-a530-ce588b86c255"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      volume     high      low                 time    close     open\n",
              "0    13692.0  1435.30  1434.70  2022-09-15 11:22:59  1435.25  1434.85\n",
              "1    17590.0  1435.95  1435.25  2022-09-15 11:23:59  1435.80  1435.30\n",
              "2    18878.0  1436.00  1435.00  2022-09-15 11:24:59  1435.85  1435.80\n",
              "3    15943.0  1436.45  1435.40  2022-09-15 11:25:59  1435.40  1435.95\n",
              "4    10990.0  1436.00  1435.30  2022-09-15 11:26:59  1435.70  1435.40\n",
              "..       ...      ...      ...                  ...      ...      ...\n",
              "995  58053.0  1390.15  1389.70  2022-09-19 15:25:59  1389.75  1390.10\n",
              "996  40059.0  1390.70  1389.65  2022-09-19 15:26:59  1390.15  1390.00\n",
              "997  35528.0  1390.45  1389.95  2022-09-19 15:27:59  1390.15  1390.00\n",
              "998  30427.0  1391.00  1390.15  2022-09-19 15:28:59  1390.80  1390.20\n",
              "999  21458.0  1391.20  1390.00  2022-09-19 15:29:59  1391.20  1390.75\n",
              "\n",
              "[1000 rows x 6 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>volume</th>\n",
              "      <th>high</th>\n",
              "      <th>low</th>\n",
              "      <th>time</th>\n",
              "      <th>close</th>\n",
              "      <th>open</th>\n",
              "    </tr>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>13692.0</td>\n",
              "      <td>1435.30</td>\n",
              "      <td>1434.70</td>\n",
              "      <td>2022-09-15 11:22:59</td>\n",
              "      <td>1435.25</td>\n",
              "      <td>1434.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>17590.0</td>\n",
              "      <td>1435.95</td>\n",
              "      <td>1435.25</td>\n",
              "      <td>2022-09-15 11:23:59</td>\n",
              "      <td>1435.80</td>\n",
              "      <td>1435.30</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>18878.0</td>\n",
              "      <td>1436.00</td>\n",
              "      <td>1435.00</td>\n",
              "      <td>2022-09-15 11:24:59</td>\n",
              "      <td>1435.85</td>\n",
              "      <td>1435.80</td>\n",
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              "      <th>3</th>\n",
              "      <td>15943.0</td>\n",
              "      <td>1436.45</td>\n",
              "      <td>1435.40</td>\n",
              "      <td>2022-09-15 11:25:59</td>\n",
              "      <td>1435.40</td>\n",
              "      <td>1435.95</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10990.0</td>\n",
              "      <td>1436.00</td>\n",
              "      <td>1435.30</td>\n",
              "      <td>2022-09-15 11:26:59</td>\n",
              "      <td>1435.70</td>\n",
              "      <td>1435.40</td>\n",
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              "      <th>995</th>\n",
              "      <td>58053.0</td>\n",
              "      <td>1390.15</td>\n",
              "      <td>1389.70</td>\n",
              "      <td>2022-09-19 15:25:59</td>\n",
              "      <td>1389.75</td>\n",
              "      <td>1390.10</td>\n",
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              "    <tr>\n",
              "      <th>996</th>\n",
              "      <td>40059.0</td>\n",
              "      <td>1390.70</td>\n",
              "      <td>1389.65</td>\n",
              "      <td>2022-09-19 15:26:59</td>\n",
              "      <td>1390.15</td>\n",
              "      <td>1390.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>997</th>\n",
              "      <td>35528.0</td>\n",
              "      <td>1390.45</td>\n",
              "      <td>1389.95</td>\n",
              "      <td>2022-09-19 15:27:59</td>\n",
              "      <td>1390.15</td>\n",
              "      <td>1390.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>998</th>\n",
              "      <td>30427.0</td>\n",
              "      <td>1391.00</td>\n",
              "      <td>1390.15</td>\n",
              "      <td>2022-09-19 15:28:59</td>\n",
              "      <td>1390.80</td>\n",
              "      <td>1390.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999</th>\n",
              "      <td>21458.0</td>\n",
              "      <td>1391.20</td>\n",
              "      <td>1390.00</td>\n",
              "      <td>2022-09-19 15:29:59</td>\n",
              "      <td>1391.20</td>\n",
              "      <td>1390.75</td>\n",
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              "<p>1000 rows × 6 columns</p>\n",
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          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Let's write the function for Simple Moving Average \n",
        "\n",
        "def plot_sma(stock_symbol, df, MA_period = 20):\n",
        "\n",
        "  def sma(price, MA_period):\n",
        "    mean_price = price.rolling(MA_period).mean()\n",
        "    return np.round(mean_price, 3)\n",
        "\n",
        "  df['moving_avg'] = sma(df[\"close\"],MA_period)\n",
        "\n",
        "  # plotting and visualization of simple moving average\n",
        "  df['close'].plot(c = 'k', figsize = (20,10), lw = 2, fontsize = 12)\n",
        "  df['moving_avg'].plot(c = 'b', figsize = (20, 10), lw = 1)\n",
        "\n",
        "  # show plot\n",
        "  plt.title('Simple Moving Average: {}'.format(stock_symbol), fontsize = 20)\n",
        "  plt.ylabel('Price in INR(₹)',fontsize = 15 )\n",
        "  plt.xlabel('Date', fontsize = 15 )\n",
        "  plt.legend()\n",
        "  plt.grid()\n",
        "  plt.show()\n",
        "\n",
        "plot_sma(\"INFY\", df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 635
        },
        "id": "MH9Towp4HoWc",
        "outputId": "e2aebf57-4b2e-46da-ff53-c59385443565"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}