Lecture3.ipynb

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    "colab": {
      "name": "Lecture3.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPR2Zf/B8QgSjmPTgOLgZqi",
      "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/sameertipnis/AlgoTrading/blob/main/Lecture3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    },
    {
      "cell_type": "markdown",
      "source": [
        "# Agenda \n",
        "\n",
        "### 1.   Announcement for 2 projects \n",
        "### 2.   Review of the second lecture\n",
        "### 3.   EMA \n",
        "### 4.   Order book \n",
        "### 5.   VWAP - Arrival Price \n"
      ],
      "metadata": {
        "id": "8GwpgMQ_zHXj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "[Boost SML Link](https://boost-ext.github.io/sml/index.html)"
      ],
      "metadata": {
        "id": "dDVjmgYoj7c0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Project - 1  \n",
        "### Implement any statistical arbitrage strategy using the model of your choice\n",
        "#### Overview Deadline - 8th July 2022\n",
        "#### Submission Deadline - 15th July 2022 \n",
        "## Project - 2 \n",
        "### Implement a machine learning model based trading strategy. \n",
        "## Project Requirement - Preferably python note book on github or google drive "
      ],
      "metadata": {
        "id": "ljNeZRGi3JhX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Review of the second lecture \n",
        "## Momentum strategies \n",
        "## Mean reversal strategies"
      ],
      "metadata": {
        "id": "R1BLfTyU4W-Z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# EMA and Half Life \n",
        "[EMA Function in Pandaas](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.ewm.html)\n",
        "\n",
        "#### Data - ( Public Data ) a-symmetry is not there \n",
        "#### Extract more information out of same data - model more events  \n"
      ],
      "metadata": {
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    },
    {
      "cell_type": "markdown",
      "source": [
        "###Structure of the Book"
      ],
      "metadata": {
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      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screen Shot 2022-06-28 at 9.16.46 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)"
      ],
      "metadata": {
        "id": "is3o9oRiBraD"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Hit the Bid - Sell at the highest Bid \n",
        "#### Cust 1 wants to Sell 40 @ 100 -> It willl cross - order # 1\n",
        "#### In market data feed you will see a trade execution \n",
        "#### In market data feed you will see a book update\n",
        "#### Cust 2 wants to Sell 40 @ 101 -> Fill or Kill / IOC -> Expiry Order # 5\n",
        "#### No updates in market data feed  \n",
        "#### Cust 2 wants to Sell 20 and 20 @ 101 -> Good Tilll Cancel -> Rest on the book  \n",
        "#### Book Update \n",
        "\n",
        "\n",
        "#### Lift the Offer - Buy at lowest Ask\n",
        "\n",
        "\n",
        "#### Marketable Order\n",
        "\n",
        "#### Two Types of Connection \n",
        "##### Connection to Send Order Flow\n",
        "###### Provide Liquidity  - Market Makers\n",
        "###### Seek Liquidity  - Market Takers\n",
        "\n",
        "\n",
        "##### Connection to get Market Data\n",
        "\n",
        "\n",
        "#### Ist Class Payment for Order Flow - Robin Hood - Citadel\n",
        "#### Cust 1  -> Robinhood -> places a buy order @ 101\n",
        "\n"
      ],
      "metadata": {
        "id": "qqYttcRtCnYy"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Write a python program\n",
        "#### Take all preopen orders and create a book -> Read it from the file - Pre Open Order file\n",
        "#### Symbol, size, price, aggressor_side\n",
        "#### Take Market Orders\n",
        "####  Only take two types of Order - IOC / Limit\n",
        "####  Read them from a file Market Order File\n",
        "#### Market Order File\n",
        "#### TimeStamp < 45> -> 9:30:45, Symbol, price, side, size,  type of Order \n",
        "#### Output Execution File, Market Data Feed, Closing Price ( Bid Size * Offer price + OfferSize * bid price )/ ( Bid Size + Offer Size )\n",
        "\n"
      ],
      "metadata": {
        "id": "ofV6_NDE3mLA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Book Imbalance \n",
        "#### Matching - Procees \n",
        "#### NBBO - National Best Bid Offer\n",
        "#### ISO Order - To sweep price level at one  exchanges  // ISO Obligation is with Order Sender\n",
        "#### DISO Order - Directed ISO -> you can send it exchange one to sweep price level at second exchange.\n"
      ],
      "metadata": {
        "id": "mkeQhBIeMmF5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### VWAP Indicator"
      ],
      "metadata": {
        "id": "2w8yvM2LksGu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "xi0z4gnekvtl"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vk6uj73Ck5V6",
        "outputId": "cf450172-6844-442d-fb16-a3c3384b3e8f"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tsla = pd.read_csv('/content/drive/My Drive/NYU/AlgoTrading-Summer-2022/TSLA.csv')"
      ],
      "metadata": {
        "id": "lfxtLc2Ax9xX"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tsla.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "jz5U6qWiyAnv",
        "outputId": "169d1a66-5b32-4a33-892f-49b6f4bde03e"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Date        Open        High         Low       Close   Adj Close  \\\n",
              "0  2021-06-22  618.250000  628.570007  615.500000  623.710022  623.710022   \n",
              "1  2021-06-23  632.000000  657.200012  630.039978  656.570007  656.570007   \n",
              "2  2021-06-24  674.989990  697.619995  667.609985  679.820007  679.820007   \n",
              "3  2021-06-25  689.580017  693.809998  668.700012  671.869995  671.869995   \n",
              "4  2021-06-28  671.640015  694.700012  670.320007  688.719971  688.719971   \n",
              "\n",
              "     Volume  \n",
              "0  19158900  \n",
              "1  31099200  \n",
              "2  45982400  \n",
              "3  32496700  \n",
              "4  21628200  "
            ],
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              "\n",
              "  <div id=\"df-507f3f24-c665-47f2-8c97-0d009eb8efb7\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-06-22</td>\n",
              "      <td>618.250000</td>\n",
              "      <td>628.570007</td>\n",
              "      <td>615.500000</td>\n",
              "      <td>623.710022</td>\n",
              "      <td>623.710022</td>\n",
              "      <td>19158900</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-06-23</td>\n",
              "      <td>632.000000</td>\n",
              "      <td>657.200012</td>\n",
              "      <td>630.039978</td>\n",
              "      <td>656.570007</td>\n",
              "      <td>656.570007</td>\n",
              "      <td>31099200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-06-24</td>\n",
              "      <td>674.989990</td>\n",
              "      <td>697.619995</td>\n",
              "      <td>667.609985</td>\n",
              "      <td>679.820007</td>\n",
              "      <td>679.820007</td>\n",
              "      <td>45982400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-06-25</td>\n",
              "      <td>689.580017</td>\n",
              "      <td>693.809998</td>\n",
              "      <td>668.700012</td>\n",
              "      <td>671.869995</td>\n",
              "      <td>671.869995</td>\n",
              "      <td>32496700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-06-28</td>\n",
              "      <td>671.640015</td>\n",
              "      <td>694.700012</td>\n",
              "      <td>670.320007</td>\n",
              "      <td>688.719971</td>\n",
              "      <td>688.719971</td>\n",
              "      <td>21628200</td>\n",
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              "  </tbody>\n",
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        "tsla[\"AveragePrice\"] =  (tsla[\"Open\"] + tsla[\"High\"] + tsla[\"Close\"] )/ 3.0"
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              "         Date        Open        High         Low       Close   Adj Close  \\\n",
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              "         Date        Open        High         Low       Close   Adj Close  \\\n",
              "0  2021-06-22  618.250000  628.570007  615.500000  623.710022  623.710022   \n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9e7db060-912f-43f5-b693-2520eeaabf55 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9e7db060-912f-43f5-b693-2520eeaabf55');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tsla[\"vwap-1\"] = tsla[\"vwap\"].shift(1)"
      ],
      "metadata": {
        "id": "N3el4uzkf4Lk"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tsla.dropna()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "aap2DB7phlvB",
        "outputId": "dab59a2b-ac51-41ea-ef1c-6ebfd67a21b6"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Date        Open        High         Low       Close   Adj Close  \\\n",
              "1    2021-06-23  632.000000  657.200012  630.039978  656.570007  656.570007   \n",
              "2    2021-06-24  674.989990  697.619995  667.609985  679.820007  679.820007   \n",
              "3    2021-06-25  689.580017  693.809998  668.700012  671.869995  671.869995   \n",
              "4    2021-06-28  671.640015  694.700012  670.320007  688.719971  688.719971   \n",
              "5    2021-06-29  684.650024  687.510010  675.890015  680.760010  680.760010   \n",
              "..          ...         ...         ...         ...         ...         ...   \n",
              "248  2022-06-15  662.750000  706.989990  654.450012  699.000000  699.000000   \n",
              "249  2022-06-16  668.210022  675.500000  626.080017  639.299988  639.299988   \n",
              "250  2022-06-17  640.299988  662.909973  639.590027  650.280029  650.280029   \n",
              "251  2022-06-21  673.809998  730.729980  673.000000  711.109985  711.109985   \n",
              "252  2022-06-22  703.510010  740.500000  701.479980  708.260010  708.260010   \n",
              "\n",
              "       Volume  AveragePrice        vwap      vwap-1  \n",
              "1    31099200    648.590006  639.029256  623.510010  \n",
              "2    45982400    684.143331  660.584146  639.029256  \n",
              "3    32496700    685.086670  666.769236  660.584146  \n",
              "4    21628200    685.019999  669.394382  666.769236  \n",
              "5    17381300    684.306681  670.939540  669.394382  \n",
              "..        ...           ...         ...         ...  \n",
              "248  39710600    689.579997  888.513016  889.780321  \n",
              "249  35796900    661.003337  887.222142  888.513016  \n",
              "250  30810900    651.163330  886.074921  887.222142  \n",
              "251  40931000    705.216654  884.914759  886.074921  \n",
              "252  32908210    717.423340  884.055368  884.914759  \n",
              "\n",
              "[252 rows x 10 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7cabebb5-3794-4f85-8c00-99401035346c\">\n",
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              "<style scoped>\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>AveragePrice</th>\n",
              "      <th>vwap</th>\n",
              "      <th>vwap-1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-06-23</td>\n",
              "      <td>632.000000</td>\n",
              "      <td>657.200012</td>\n",
              "      <td>630.039978</td>\n",
              "      <td>656.570007</td>\n",
              "      <td>656.570007</td>\n",
              "      <td>31099200</td>\n",
              "      <td>648.590006</td>\n",
              "      <td>639.029256</td>\n",
              "      <td>623.510010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-06-24</td>\n",
              "      <td>674.989990</td>\n",
              "      <td>697.619995</td>\n",
              "      <td>667.609985</td>\n",
              "      <td>679.820007</td>\n",
              "      <td>679.820007</td>\n",
              "      <td>45982400</td>\n",
              "      <td>684.143331</td>\n",
              "      <td>660.584146</td>\n",
              "      <td>639.029256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-06-25</td>\n",
              "      <td>689.580017</td>\n",
              "      <td>693.809998</td>\n",
              "      <td>668.700012</td>\n",
              "      <td>671.869995</td>\n",
              "      <td>671.869995</td>\n",
              "      <td>32496700</td>\n",
              "      <td>685.086670</td>\n",
              "      <td>666.769236</td>\n",
              "      <td>660.584146</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-06-28</td>\n",
              "      <td>671.640015</td>\n",
              "      <td>694.700012</td>\n",
              "      <td>670.320007</td>\n",
              "      <td>688.719971</td>\n",
              "      <td>688.719971</td>\n",
              "      <td>21628200</td>\n",
              "      <td>685.019999</td>\n",
              "      <td>669.394382</td>\n",
              "      <td>666.769236</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2021-06-29</td>\n",
              "      <td>684.650024</td>\n",
              "      <td>687.510010</td>\n",
              "      <td>675.890015</td>\n",
              "      <td>680.760010</td>\n",
              "      <td>680.760010</td>\n",
              "      <td>17381300</td>\n",
              "      <td>684.306681</td>\n",
              "      <td>670.939540</td>\n",
              "      <td>669.394382</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <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>248</th>\n",
              "      <td>2022-06-15</td>\n",
              "      <td>662.750000</td>\n",
              "      <td>706.989990</td>\n",
              "      <td>654.450012</td>\n",
              "      <td>699.000000</td>\n",
              "      <td>699.000000</td>\n",
              "      <td>39710600</td>\n",
              "      <td>689.579997</td>\n",
              "      <td>888.513016</td>\n",
              "      <td>889.780321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>249</th>\n",
              "      <td>2022-06-16</td>\n",
              "      <td>668.210022</td>\n",
              "      <td>675.500000</td>\n",
              "      <td>626.080017</td>\n",
              "      <td>639.299988</td>\n",
              "      <td>639.299988</td>\n",
              "      <td>35796900</td>\n",
              "      <td>661.003337</td>\n",
              "      <td>887.222142</td>\n",
              "      <td>888.513016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>250</th>\n",
              "      <td>2022-06-17</td>\n",
              "      <td>640.299988</td>\n",
              "      <td>662.909973</td>\n",
              "      <td>639.590027</td>\n",
              "      <td>650.280029</td>\n",
              "      <td>650.280029</td>\n",
              "      <td>30810900</td>\n",
              "      <td>651.163330</td>\n",
              "      <td>886.074921</td>\n",
              "      <td>887.222142</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>251</th>\n",
              "      <td>2022-06-21</td>\n",
              "      <td>673.809998</td>\n",
              "      <td>730.729980</td>\n",
              "      <td>673.000000</td>\n",
              "      <td>711.109985</td>\n",
              "      <td>711.109985</td>\n",
              "      <td>40931000</td>\n",
              "      <td>705.216654</td>\n",
              "      <td>884.914759</td>\n",
              "      <td>886.074921</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>252</th>\n",
              "      <td>2022-06-22</td>\n",
              "      <td>703.510010</td>\n",
              "      <td>740.500000</td>\n",
              "      <td>701.479980</td>\n",
              "      <td>708.260010</td>\n",
              "      <td>708.260010</td>\n",
              "      <td>32908210</td>\n",
              "      <td>717.423340</td>\n",
              "      <td>884.055368</td>\n",
              "      <td>884.914759</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>252 rows × 10 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7cabebb5-3794-4f85-8c00-99401035346c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7cabebb5-3794-4f85-8c00-99401035346c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rcParams['figure.figsize'] = 12, 6\n",
        "plt.plot(tsla['AveragePrice'], label='Average')\n",
        "\n",
        "plt.plot(tsla['vwap-1'], label='Vwap')\n",
        "plt.legend(loc=2)\n",
        "plt.grid(True, alpha=.3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        },
        "id": "uELNxtt2is3W",
        "outputId": "20d09a46-940a-467e-bde5-a489b0fceedd"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Arrival Price"
      ],
      "metadata": {
        "id": "-iLZ33rilZc0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Implementation Shortfall (IS) is defined as the difference in price between the time a portfolio manager makes an investment decision and the actual price achieved. Another component is the opportunity cost of any quantity unexecuted during the implementation.\n",
        "## When deciding to buy or sell stocks during portfolio construction, a portfolio manager looks at the prevailing prices (decision prices).\n",
        "##   However, due to a number of factors, the execution prices may be different from the decision prices. This can result in returns that differ from the portfolio manager’s expectations. "
      ],
      "metadata": {
        "id": "OeGBBKVt7f_F"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "####Over the years there have been proponents and detractors of this approach as a measurement of execution costs and a benchmark for execution algorithms. \n",
        "\n",
        "####There is no perfect solution to the challenges of measuring implicit costs and assessing trader, broker, or algorithm performance, but overall this one is pretty good. \n",
        "\n",
        "####The crucial point to compare this with other benchmarks is that this is the one most relevant to the portfolio manager. If the market’s volume weighted average price (VWAP) is used as a benchmark it is only half the story \n",
        "\n",
        "####The point that’s missed is that someone had to decide over what time frame to trade in order to compare the execution performance to the VWAP over that time. \n",
        "####That decision (usually an arbitrary one made in an attempt to minimize market impact) is a crucial part of the execution process, but that itself escapes assessment if only VWAP slippage is measured. \n",
        "####The other issue with VWAP as well as TWAP, market open or close prices is that they are benchmarks that can be influenced by the trade itself. \n",
        "####Zero slippage to VWAP but being 100 percent of market volume does not necessarily mean it is a good execution. Zero slippage to the closing price while being part of an adverse high / low on the close is also not a good execution. \n",
        "####AP does provide an overall measure that incorporates all aspects of the execution. Where VWAP can play an important role is in conjunction with the AP benchmark – looking at both gives context on market direction during the execution and how the execution compared with the market over that time.\n",
        "\n",
        "####Two aspects that make up realized implicit trading costs \n",
        "####1. market drift\n",
        "####2. market impact. \n",
        "####Optimizing between these two is often referred to as “the trader’s dilemma”, i.e. you can trade faster with more impact to minimize market drift away, or trade slower to minimize market impact but risk market drift away. \n",
        "\n",
        "####However, you will never know what the market would have done if you had not traded. You can try to extrapolate the price trajectory forward based on the momentum it showed in the minutes before the trade, but markets often change direction. \n",
        "\n",
        "####You can apply some correction from the overall market, using the beta for the asset, but in practice that removes only a small part of the randomness.\n",
        "\n",
        "####There is still the essential difficulty that you are part of the market, and other people may be choosing to trade at the same times and for the same reasons you are. \n",
        "####Thus market impact and drift are not so different. It is hard to know what is good and what is bad arrival price slippage, but knowing it does allow for comparison across different execution methods, and if a reliable conclusion can be drawn, switching to the better method yields performance improvements for the strategy. \n",
        "####It also enables portfolio managers to compare their cost assumptions with reality and understand their own implementation shortfall so that they may improve their models.\n",
        "\n"
      ],
      "metadata": {
        "id": "Ug0Nk3dfSbJ_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Arrival Price (AP) is a dynamic liquidity-seeking algorithm that aims to minimize implementation shortfall by completing an order close to its arrival price. \n",
        "## It is designed to manage the trade-off between market impact and price risk. \n",
        "## It will build an optimal trading schedule based on order size, expected participation rate, desired start and end times, and stock-specific characteristics including historical volume, volatility and spread. \n",
        "## The trading schedule will dynamically adapt to real-time market conditions throughout the order’s lifecycle."
      ],
      "metadata": {
        "id": "iDutwiS-liHL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "###  EXPECTED PARTICIPATION % DRIVES THE TARGET TRADING SCHEDULE"
      ],
      "metadata": {
        "id": "0LtJ2dR3mnBg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### URGENCY CONTROLS DISCRETION AROUND THE TRADING SCHEDULE"
      ],
      "metadata": {
        "id": "XgZrXSMdnYV2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screen Shot 2022-06-29 at 2.01.48 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)"
      ],
      "metadata": {
        "id": "tTu0IR46n3gD"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://www.linkedin.com/in/robert-almgren-31303147/"
      ],
      "metadata": {
        "id": "dWoy-7mlEyGA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://thewallstreetlab.com/77-robert-almgren-a-deep-dive-into-optimal-trade-execution-in-fixed-income-and-futures-using-quantitative-methods/"
      ],
      "metadata": {
        "id": "yDDv55ixFSAH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://chat.whatsapp.com/EEqyd6T8T1zHIabXzeHsQM\n"
      ],
      "metadata": {
        "id": "UwH2P9uVGHMI"
      }
    }
  ]
}