Support_Resistance_SK_Anku_Analysis.ipynb

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  "metadata": {
    "colab": {
      "name": "Support Resistance SK-Anku Analysis.ipynb",
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      "collapsed_sections": [],
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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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/mastermindankur/stock-analysis/blob/main/Support_Resistance_SK_Anku_Analysis.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/"
        },
        "id": "oG0Wlrw9THPk",
        "outputId": "98d9fd1b-fff7-42d1-aa90-dea8f4fff2e5"
      },
      "source": [
        "!pip install bsedata\r\n",
        "!pip install quandl"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->bsedata) (2.10)\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->bsedata) (1.24.3)\n",
            "Requirement already satisfied: quandl in /usr/local/lib/python3.7/dist-packages (3.6.1)\n",
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            "Requirement already satisfied: requests>=2.7.0 in /usr/local/lib/python3.7/dist-packages (from quandl) (2.23.0)\n",
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            "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>=2.7.0->quandl) (1.24.3)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.7.0->quandl) (2.10)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.14->quandl) (2018.9)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CBaCYGB-TtaL"
      },
      "source": [
        "import matplotlib.pyplot as plt\r\n",
        "import numpy as np\r\n",
        "import pandas as pd\r\n",
        "import matplotlib.dates as dates\r\n",
        "import quandl\r\n",
        "%matplotlib inline"
      ],
      "execution_count": 97,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9yaCM5XiT5Cx"
      },
      "source": [
        "# to be ale to view numbers in human readable format 2.058691e+08\r\n",
        "#izbxGLp_K_zzzUJdN9sp\r\n",
        "pd.set_option('display.float_format', lambda x: '%.3f' % x)"
      ],
      "execution_count": 98,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e_bPTCW-wYJP"
      },
      "source": [
        "quandl.ApiConfig.api_key = 'izbxGLp_K_zzzUJdN9sp'"
      ],
      "execution_count": 99,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CRBdL5Q7UCWl"
      },
      "source": [
        "sbi =quandl.get('BSE/BOM500112', start_date='2021-01-01', end_date='2021-03-14')"
      ],
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LAuZb6H0Vc1f"
      },
      "source": [
        "**Pivot Point Calculation**\r\n",
        "\r\n",
        "Pivot point (PP) = (High + Low + Close) / 3.\r\n",
        "\r\n",
        "First resistance (R1) = (2 x PP) – Low.\r\n",
        "\r\n",
        "First support (S1) = (2 x PP) – High.\r\n",
        "\r\n",
        "Second resistance (R2) = PP + (High – Low)\r\n",
        "\r\n",
        "Second support (S2) = PP – (High – Low)\r\n",
        "\r\n",
        "Third resistance (R3) = High + 2(PP – Low)\r\n",
        "\r\n",
        "Third support (S3) = Low – 2(High – PP)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hxuIeCm5UYX2"
      },
      "source": [
        "sbi['PP']= (sbi['High']+sbi['Low']+sbi['Close'])/3\r\n",
        "sbi['R1']= 2*sbi['PP'] -sbi['Low']\r\n",
        "sbi['S1']= 2*sbi['PP'] -sbi['High']\r\n",
        "sbi['R2']= sbi['PP'] + (sbi['High'] - sbi['Low']) \r\n",
        "sbi['S2']= sbi['PP'] - (sbi['High'] - sbi['Low']) \r\n",
        "sbi['R3']= sbi['High'] + 2*(sbi['PP'] - sbi['Low'])\r\n",
        "sbi['S3']= sbi['Low'] - 2*(sbi['High'] - sbi['PP'])"
      ],
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DeDcTfCEzsQa"
      },
      "source": [
        "#No of shares worth 50,000 Rupees\r\n",
        "# Up and Down are the ticks above and below which we want to execute trade\r\n",
        "no_of_shares=50000/sbi['Open'].median()\r\n",
        "up= sbi['Spread H-L'].median()*.10\r\n",
        "down= sbi['Spread H-L'].median() *.10\r\n",
        "#up=1\r\n",
        "#down=1"
      ],
      "execution_count": 102,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Aye8_ele1q6L"
      },
      "source": [
        "**I will set the Target price in such a way, that i am will buy above the Support and will want to sell it below the Resistance**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D2-XWEUzYzwJ"
      },
      "source": [
        "sbi['Buy']= sbi['S1'].shift(1) + up\r\n",
        "sbi['Sell']= sbi['R1'].shift(1) - down"
      ],
      "execution_count": 103,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XOKULaLkZ1UC"
      },
      "source": [
        "#sbi[['Open','High','Low','Close','PP','S1','R1','Buy','Sell']].head()"
      ],
      "execution_count": 104,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z8eQxMQKzBue"
      },
      "source": [
        "The following Flags are set for 'got_it':\r\n",
        "\r\n",
        "**1** - If we are able to Buy at Support+delta and Sell at Resistance-delta the same day. Successful Trade.\r\n",
        "\r\n",
        "**2** - If we are able to Buy at Support+delta but not able to sell it since the Resistance-delta price never came.\r\n",
        "\r\n",
        "**0** - If we are not able to buy at all since Support+delta price was never reached that day"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Kb6cpbASauaZ"
      },
      "source": [
        "#sbi['got_it']=(sbi['Buy']>sbi['Low']) & (sbi['Sell'] <sbi['High']) & (sbi['Sell']>sbi['Buy'])\r\n",
        "# Set initial value set to 0 of all elements\r\n",
        "sbi['got_it'] = 0\r\n",
        "\r\n",
        "# if the trade happened between support and resistance levels, put 1 in got_it column\r\n",
        "sbi.loc[(sbi['Buy']>sbi['Low']) & (sbi['Sell'] <sbi['High']) & (sbi['Sell']>sbi['Buy']),'got_it']=1\r\n",
        "\r\n",
        "# If i was able to Buy but not able to sell it becuase price did not hit resistance level, put 2 in got_it column\r\n",
        "sbi.loc[(sbi['Buy']>sbi['Low']) & (sbi['Sell'] >sbi['High']) ,'got_it']=2"
      ],
      "execution_count": 105,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lJQGCPBIyHM4"
      },
      "source": [
        "When Resistance Level was hit the same day and trade happened successfully:\r\n",
        "\r\n",
        "**Profit = Selling Price  - Buying Price**\r\n",
        "\r\n",
        "However, when Resitance price did not hit, we are forcing to sell at Closing Price for that day. In that case:\r\n",
        "\r\n",
        "**Profit = Closing Price - Buying Price**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "my6t4y06lgwO"
      },
      "source": [
        "#df['color'] = np.where(df['Set']=='Z', 'green', 'red')\r\n",
        "sbi['Profit']=0\r\n",
        "profit= sbi['Sell']-sbi['Buy']\r\n",
        "forced_profit_or_loss= sbi['Close']-sbi['Buy']\r\n",
        "\r\n",
        "sbi.loc[(sbi['got_it']==1) ,'Profit']=profit\r\n",
        "sbi.loc[(sbi['got_it']==2) ,'Profit']=forced_profit_or_loss\r\n",
        "#sbi['Profit'] = np.where(sbi['got_it']==1, profit, 0)\r\n",
        "#sbi['Profit'] = np.where(sbi['got_it']==2, forced_profit_or_loss, 0)"
      ],
      "execution_count": 106,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xH-_y5OKnFi1",
        "outputId": "77355d39-a439-40c5-bd7f-fe2d5eb3b44e"
      },
      "source": [
        "sbi['got_it'].value_counts()"
      ],
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    25\n",
              "2    12\n",
              "1    12\n",
              "Name: got_it, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626
        },
        "id": "Uv5mZg79EqVP",
        "outputId": "c6191657-c3f1-4621-e00c-177e8b3b2b68"
      },
      "source": [
        "sbi['got_it'].plot.hist(label='Labels: 0= No Trade, 1 = Succesfull Trade, 2 = Squaredoff Trade', figsize=(12,10))\r\n",
        "plt.ylabel('# of Trades')\r\n",
        "plt.xlabel('Trade Status')\r\n",
        "plt.xticks([0,1,2])\r\n",
        "plt.style.use('ggplot')\r\n",
        "plt.legend()"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f406ddd6710>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 108
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HSfItDLBoptn"
      },
      "source": [
        ""
      ],
      "execution_count": 108,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xKhPlYE_0YOL"
      },
      "source": [
        "**Calculating the Profit for the following 3 scenarios:**\r\n",
        "\r\n",
        "1 - If we are able to Buy at Support+delta and Sell at Resistance-delta the same day. Successful Trade.\r\n",
        "\r\n",
        "2 - If we are able to Buy at Support+delta but not able to sell it since the Resistance-delta price never came.\r\n",
        "\r\n",
        "TOTAL PROFIT"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lBw6IfUuD-7W",
        "outputId": "d048ab2f-e15e-4529-d9a9-3f5e6409195c"
      },
      "source": [
        "sbi[sbi['got_it']==2]['Profit'].sum()"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-45.949999999999875"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wgW8M1Y1nIjv",
        "outputId": "47209b6c-d839-419c-f982-6eafe2f98067"
      },
      "source": [
        "sbi[sbi['got_it']==1]['Profit'].sum()"
      ],
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "62.150000000000546"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7ABBvbmJ0XHn",
        "outputId": "5e1819e8-cfa4-4af1-d98e-5d5fa912cca3"
      },
      "source": [
        "sbi['Profit'].sum()"
      ],
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16.20000000000067"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vKHJD5iF02Oh"
      },
      "source": [
        "If we had executed every trade worth 50,000 Rs, How much we would have made?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fPtMdvpED23X",
        "outputId": "f7226233-2181-4d86-df5e-d2a99f5c56bf"
      },
      "source": [
        "sbi['Profit'].sum() * no_of_shares"
      ],
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2098.4455958550093"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VPSbH3en1GHZ"
      },
      "source": [
        "Calculating the **Percentage Return**\r\n",
        "\r\n",
        "Return = Profit/ Average Price * 100"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b3ldyCnrrNz9",
        "outputId": "3d44c4a2-64fb-40df-d7e5-1cbbda015d00"
      },
      "source": [
        "sbi['Open'].mean()"
      ],
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "347.5357142857142"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6bgg4Sy3cX9_",
        "outputId": "712f60d9-b194-4a6b-fcd9-2da3c4c7bd3d"
      },
      "source": [
        "x=sbi['Profit'].sum()/sbi['Open'].mean() *100\r\n",
        "print(\"The profit percentage you can get is {rate}\".format(rate=x))"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The profit percentage you can get is 4.661391429452459\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7q6WHul61YDV"
      },
      "source": [
        "**Plotting Some Charts**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "id": "ORIZqcUsx7a0",
        "outputId": "74c65ab5-d745-40b4-a73c-d65deb41dd91"
      },
      "source": [
        "sbi[['Open','High','Low','Close','PP','S1','R1','Buy','Sell','got_it','Profit']].tail(10)"
      ],
      "execution_count": 115,
      "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>PP</th>\n",
              "      <th>S1</th>\n",
              "      <th>R1</th>\n",
              "      <th>Buy</th>\n",
              "      <th>Sell</th>\n",
              "      <th>got_it</th>\n",
              "      <th>Profit</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-02-26</th>\n",
              "      <td>400.400</td>\n",
              "      <td>401.050</td>\n",
              "      <td>387.000</td>\n",
              "      <td>390.200</td>\n",
              "      <td>392.750</td>\n",
              "      <td>384.450</td>\n",
              "      <td>398.500</td>\n",
              "      <td>405.542</td>\n",
              "      <td>411.292</td>\n",
              "      <td>2</td>\n",
              "      <td>-15.342</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-01</th>\n",
              "      <td>395.800</td>\n",
              "      <td>397.700</td>\n",
              "      <td>391.000</td>\n",
              "      <td>395.000</td>\n",
              "      <td>394.567</td>\n",
              "      <td>391.433</td>\n",
              "      <td>398.133</td>\n",
              "      <td>385.725</td>\n",
              "      <td>397.225</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-02</th>\n",
              "      <td>395.700</td>\n",
              "      <td>399.500</td>\n",
              "      <td>390.600</td>\n",
              "      <td>393.950</td>\n",
              "      <td>394.683</td>\n",
              "      <td>389.867</td>\n",
              "      <td>398.767</td>\n",
              "      <td>392.708</td>\n",
              "      <td>396.858</td>\n",
              "      <td>1</td>\n",
              "      <td>4.150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-03</th>\n",
              "      <td>396.700</td>\n",
              "      <td>408.900</td>\n",
              "      <td>395.600</td>\n",
              "      <td>405.050</td>\n",
              "      <td>403.183</td>\n",
              "      <td>397.467</td>\n",
              "      <td>410.767</td>\n",
              "      <td>391.142</td>\n",
              "      <td>397.492</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-04</th>\n",
              "      <td>399.800</td>\n",
              "      <td>403.450</td>\n",
              "      <td>394.600</td>\n",
              "      <td>395.800</td>\n",
              "      <td>397.950</td>\n",
              "      <td>392.450</td>\n",
              "      <td>401.300</td>\n",
              "      <td>398.742</td>\n",
              "      <td>409.492</td>\n",
              "      <td>2</td>\n",
              "      <td>-2.942</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-05</th>\n",
              "      <td>395.000</td>\n",
              "      <td>395.000</td>\n",
              "      <td>378.200</td>\n",
              "      <td>383.800</td>\n",
              "      <td>385.667</td>\n",
              "      <td>376.333</td>\n",
              "      <td>393.133</td>\n",
              "      <td>393.725</td>\n",
              "      <td>400.025</td>\n",
              "      <td>2</td>\n",
              "      <td>-9.925</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-08</th>\n",
              "      <td>388.600</td>\n",
              "      <td>393.400</td>\n",
              "      <td>386.400</td>\n",
              "      <td>389.550</td>\n",
              "      <td>389.783</td>\n",
              "      <td>386.167</td>\n",
              "      <td>393.167</td>\n",
              "      <td>377.608</td>\n",
              "      <td>391.858</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-09</th>\n",
              "      <td>393.050</td>\n",
              "      <td>394.800</td>\n",
              "      <td>382.350</td>\n",
              "      <td>387.500</td>\n",
              "      <td>388.217</td>\n",
              "      <td>381.633</td>\n",
              "      <td>394.083</td>\n",
              "      <td>387.442</td>\n",
              "      <td>391.892</td>\n",
              "      <td>1</td>\n",
              "      <td>4.450</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-10</th>\n",
              "      <td>391.400</td>\n",
              "      <td>392.800</td>\n",
              "      <td>385.700</td>\n",
              "      <td>387.500</td>\n",
              "      <td>388.667</td>\n",
              "      <td>384.533</td>\n",
              "      <td>391.633</td>\n",
              "      <td>382.908</td>\n",
              "      <td>392.808</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-03-12</th>\n",
              "      <td>391.050</td>\n",
              "      <td>393.150</td>\n",
              "      <td>377.500</td>\n",
              "      <td>381.200</td>\n",
              "      <td>383.950</td>\n",
              "      <td>374.750</td>\n",
              "      <td>390.400</td>\n",
              "      <td>385.808</td>\n",
              "      <td>390.358</td>\n",
              "      <td>1</td>\n",
              "      <td>4.550</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              Open    High     Low   Close  ...     Buy    Sell  got_it  Profit\n",
              "Date                                        ...                                \n",
              "2021-02-26 400.400 401.050 387.000 390.200  ... 405.542 411.292       2 -15.342\n",
              "2021-03-01 395.800 397.700 391.000 395.000  ... 385.725 397.225       0   0.000\n",
              "2021-03-02 395.700 399.500 390.600 393.950  ... 392.708 396.858       1   4.150\n",
              "2021-03-03 396.700 408.900 395.600 405.050  ... 391.142 397.492       0   0.000\n",
              "2021-03-04 399.800 403.450 394.600 395.800  ... 398.742 409.492       2  -2.942\n",
              "2021-03-05 395.000 395.000 378.200 383.800  ... 393.725 400.025       2  -9.925\n",
              "2021-03-08 388.600 393.400 386.400 389.550  ... 377.608 391.858       0   0.000\n",
              "2021-03-09 393.050 394.800 382.350 387.500  ... 387.442 391.892       1   4.450\n",
              "2021-03-10 391.400 392.800 385.700 387.500  ... 382.908 392.808       0   0.000\n",
              "2021-03-12 391.050 393.150 377.500 381.200  ... 385.808 390.358       1   4.550\n",
              "\n",
              "[10 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 115
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lyxtc_TQJZG1"
      },
      "source": [
        "sbi[['Open','High','Low','Close','PP','S1','R1','Buy','Sell','got_it','Profit']].to_excel('Stock.xlsx',sheet_name='xx')"
      ],
      "execution_count": 116,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 844
        },
        "id": "IHGQRCdKM919",
        "outputId": "550b1d06-00ee-42f6-9e30-2d3c334222aa"
      },
      "source": [
        "sbi[['High','Low','Buy','Sell']].tail(30).plot(figsize=(20,15))\r\n",
        "plt.ylabel('SBI Price')\r\n",
        "plt.xlabel('Trading Date')\r\n",
        "plt.style.use('ggplot')\r\n",
        "plt.legend()"
      ],
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f406dae2bd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 123
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1080 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 403
        },
        "id": "n8wMEuVlmHpR",
        "outputId": "31317734-de3a-42e3-a2ad-73299c665121"
      },
      "source": [
        "sbi['Open'].plot(figsize=(18,6))"
      ],
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f406dd56710>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 118
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}