monte_carlo_example.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 align=\"center\">craps demo</h1>\n",
    "\n",
    "<br />\n",
    "\n",
    "<div align=\"center\">\n",
    "  <a align=\"center\" href=\"https://github.com/mhegarty/craps/blob/master/logo.png\">\n",
    "    <img src=\"https://raw.githubusercontent.com/mhegarty/craps/master/logo.png\"\n",
    "    alt=\"Logo\" width=80 height=80>\n",
    "  </a>\n",
    "<br />\n",
    "<br />\n",
    "  <p align=\"center\">\n",
    "    A lightweight table game simulator.\n",
    "    <!-- <br />\n",
    "    <a href=\"https://github.com/mhegarty/craps\"><strong>Explore the code »</strong></a>-->\n",
    "    <br />\n",
    "    <br />\n",
    "    ·\n",
    "    <a href=\"https://github.com/mhegarty/craps/issues\">Report Bug</a>\n",
    "    ·\n",
    "    <a href=\"https://github.com/mhegarty/craps/issues\">Request Feature</a>\n",
    "  </p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This is the monte carlo demo\n",
    "## This notebook covers the following topics. \n",
    "  1. Installing craps\n",
    "  2. Play a short game\n",
    "  3. Working with betting algorithms\n",
    "     * Writing an algo\n",
    "     * Running a simulation\n",
    "     * Analyzing the result\n",
    "  4. Parallel processing game simulations with joblib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Installing craps\n",
    "\n",
    "Install the latest version with a bang and import the models we'll be using in this demo. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install craps --upgrade\n",
    "from craps import Game, PassBet, LineOddsBet, ComeBet, PointOddsBet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Play a short game.\n",
    "\n",
    "A basic understanding of the game is helpful but not neccessary. At the time of writing this, the only bet types supported by the craps package are Pass, Come, and Odds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Table] Welcome to the table shooter!\n",
      "[Bet] You made a PassBet on the box for 10\n",
      "[Rail] You have 90.0 on the rail\n",
      "[Table] The shooter is ready, the point is off\n",
      "[Table] PassBet for 10 is working on the box\n",
      "[Roll] Shooter rolled 6\n",
      "[Roll] The point is 6\n",
      "[Rail] You have 90.0 on the rail\n"
     ]
    }
   ],
   "source": [
    "# Start a game with arrival cash $100 and table minimum bet of $10\n",
    "g = Game(bankroll=100, minimum_bet=10)\n",
    "\n",
    "# Make a pass bet for $10\n",
    "g.bet(PassBet(10))\n",
    "\n",
    "# Roll the dice\n",
    "g.roll()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Bet] You made a LineOddsBet on 6 for 20\n",
      "[Rail] You have 70.0 on the rail\n",
      "[Bet] You made a ComeBet on the box for 10\n",
      "[Rail] You have 60.0 on the rail\n"
     ]
    }
   ],
   "source": [
    "# The puck is on, put a $20 odds bet on the pass line bet.\n",
    "g.bet(LineOddsBet(20))\n",
    "\n",
    "# Place a come bet as well.\n",
    "g.bet(ComeBet(10)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Table] The shooter is ready, the point is 6\n",
      "[Table] PassBet for 10 is working on 6\n",
      "[Table] LineOddsBet for 20 is working on 6\n",
      "[Table] ComeBet for 10 is working on the box\n",
      "[Roll] Shooter rolled 10\n",
      "[Roll] 10 pay the field\n",
      "[Bet] ComeBet for 10 was moved to the 10\n",
      "[Rail] You have 60.0 on the rail\n"
     ]
    }
   ],
   "source": [
    "# Our bets are placed. Roll!\n",
    "g.roll()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Table] PassBet for 10 is working on 6\n",
      "[Table] LineOddsBet for 20 is working on 6\n",
      "[Table] ComeBet for 10 is working on 10\n"
     ]
    }
   ],
   "source": [
    "# Check your bets\n",
    "g.callout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Working with betting algorithms\n",
    "\n",
    "## Example: Three Point Molly\n",
    "### The Three Point Molly strategy is a neat way to play craps. Some people have suggested that playing this strategy gives the house its lowest edge of any game in the casino. The strategy consists of playing the line and making successive come bets until you have three *points \"covered\"*.\n",
    "\n",
    "The algorithm in psudo code should do the following, where `points_covered` is the count of numbers for which you have bets placed.\n",
    "\n",
    "1. If it is a come out roll, then make a `PassBet` and `roll`\n",
    "2. Else, for any other roll.\n",
    "   - If you don't already have odds on your pass bet, then add them with a `LineOddsBet`\n",
    "   - If you have a come bet that has been moved to a `point` but does not yet have odds, then add odds by making a `PointOddsBet` on that point.\n",
    "   - If you have less than three `points_covered`, then make a `ComeBet`\n",
    "   - Finally, `roll`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting up parameters for a simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setting up parameters for a simulation.\n",
    "arrival_cash   = 1000 # How much are you bringing to the table?\n",
    "rolls          = 100  # How many rolls to play?\n",
    "bet_unit       = 10   # How much to bet on line bets and come bets?\n",
    "x_odds         = 2    # How much odds to bet (typical casino limit is 10x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Attributes of the Game class. \n",
    "\n",
    "The Game and Bet class docstrings describe a number of attributes that are helpful for building a betting algo.\n",
    "\n",
    "We'll use Game.puck, Game.unsettled_bets, and the Bet.point attributes when building the three point molly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0;31mInit signature:\u001b[0m \u001b[0mGame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloglevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbankroll\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1000.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mminimum_bet\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_odds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mDocstring:\u001b[0m     \n",
      "A Game Session\n",
      "\n",
      "bankroll (int) : How much money to start with, default 1,000.\n",
      "min_bet (int)  : The table minimum, default is $10\n",
      "puck (int)     : Location of the puck, or None if off\n",
      "\n",
      "rolls (list) : List of the Roll objects in this game\n",
      "bets (list)  : List of Bet objects in this game\n",
      "\n",
      "last_roll (Roll object) : returns the last roll of the game \n",
      "working_bets (list)     : returns a list of working bet objects\n",
      "idle_bets (list)        : returns a list of bets on the table that are not working\n",
      "unsettled_bets (list)   : returns a list of bets that have not been settled (orking + idle)\n",
      "\n",
      "total_amounts_working (float) : value of bets working on the table\n",
      "total_amounts_idle (float)    : value of bets not working and on the table\n",
      "total_amounts_on_table (float): value of all bets on the table\n",
      "\n",
      "pnl (float)          : Realized gain or loss\n",
      "rail_balance (float) : Amount you have on the rail\n",
      "net_worth (float)    : Total amount on the rail and on the table\n",
      "\n",
      "history (list) : returns a list of dictionaries with the sequance of each roll result and\n",
      "                 net_worth after each roll. \n",
      "\n",
      "A Game consists of a series of bets and rolls and follows this sequence:\n",
      "\n",
      "1) Instantiate a game with a defined bankroll to exchange for tokens, table minimum, and max odds.\n",
      "\n",
      "2) Bet. Each bet is validated when it is instantiated.\n",
      "\n",
      "3) Roll. Role the dice and get a result.\n",
      "\n",
      "4) Evaluate. Check each bet and update payout, working, and settled attributes.\n",
      "\u001b[0;31mFile:\u001b[0m           ~/repos/craps/craps/models.py\n",
      "\u001b[0;31mType:\u001b[0m           type\n",
      "\u001b[0;31mSubclasses:\u001b[0m     \n"
     ]
    }
   ],
   "source": [
    "Game?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Translating psudo code to python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Building the algo for the Three Point Molly strategy\n",
    "# Following the psudo code as a guide, we write the logic to step through before each roll. \n",
    "def betting_algo(g):\n",
    "    \n",
    "    # If it is a come out roll, then make a PassBet\n",
    "    # ie. If the puck is off and I have no line bet placed, make a pass bet\n",
    "    passbets = [bet for bet in g.unsettled_bets if (type(bet) is PassBet)]\n",
    "    if (not g.puck) and (len(passbets)==0):\n",
    "        g.bet(PassBet(bet_unit))\n",
    "\n",
    "    # If you don't already have odds on your pass bet, then add them with a LineOddsBet\n",
    "    # ie. If the puck is on but no odds on the line, make an odds bet\n",
    "    lineoddsbets = [bet for bet in g.unsettled_bets if (type(bet) is LineOddsBet)]\n",
    "    if (g.puck) and (len(lineoddsbets)==0):\n",
    "            g.bet(LineOddsBet(bet_unit*x_odds))  # bet the line odds\n",
    "\n",
    "    # If you have a come bet that has been moved to a point but does not yet have odds, \n",
    "    #    then add odds by making a PointOddsBet on that point.    \n",
    "    # ie. If the puck is on and I have a come bet on point but no odds, bet the odds\n",
    "    if g.puck:\n",
    "        set_come_bets = [bet for bet in g.unsettled_bets if (type(bet) is ComeBet) and (bet.point)]\n",
    "        for comeBet in set_come_bets:\n",
    "            odds = [bet for bet in g.unsettled_bets if (type(bet) is PointOddsBet) and (bet.point == comeBet.point)]\n",
    "            if not any(odds):\n",
    "                g.bet(PointOddsBet(bet_unit*x_odds, comeBet.point))\n",
    "\n",
    "    # If you have less than three `points_covered`, then make a `ComeBet`\n",
    "    # ie. If the point is set, and no comebet, and I have less than 3 points, place a come bet\n",
    "    if g.puck:\n",
    "        set_comebets   = [bet for bet in g.unsettled_bets if (type(bet) is ComeBet) and (bet.point)]\n",
    "        unset_comebet  = [bet for bet in g.unsettled_bets if (type(bet) is ComeBet) and (not bet.point)]\n",
    "        if (g.puck) and (not any(unset_comebet)) and (len(set_comebets) < 2):\n",
    "            g.bet(ComeBet(bet_unit))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bring it all together. Initialize a Game and run the betting algo for a sequence of rolls. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now build a game simulation function that uses the above betting algo. \n",
    "def simulate_game(rolls=rolls, loglevel=50):\n",
    "    \"\"\"Simulates a game of craps. Optionally pass a loglevel to control stream\"\"\"\n",
    "    g = Game(loglevel=loglevel)\n",
    "    # Make rolls\n",
    "    for n in range(rolls):  # Using the number of rolls defined in the game parameters earlier.\n",
    "        betting_algo(g)\n",
    "        g.roll()\n",
    "    # Return the comleted game history\n",
    "    return g.history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Playing a 100 roll game and analyzing the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install pandas and plotly for graphing\n",
    "!pip install pandas plotly kaleido\n",
    "import pandas as pd\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's play\n",
    "game_history = simulate_game()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
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       "      <th>90</th>\n",
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       "      <th>99</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>roll_result</th>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
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       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
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       "      <td>1000.0</td>\n",
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       "      <td>1000.0</td>\n",
       "      <td>1040.0</td>\n",
       "      <td>1090.0</td>\n",
       "      <td>1090.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1010.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>898.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>848.0</td>\n",
       "      <td>848.0</td>\n",
       "      <td>828.0</td>\n",
       "      <td>828.0</td>\n",
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       "      <td>878.0</td>\n",
       "      <td>878.0</td>\n",
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       "                 0       1       2       3       4       5       6       7   \\\n",
       "roll_result     8.0    10.0     9.0     9.0    10.0     5.0     7.0    11.0   \n",
       "net_worth    1000.0  1000.0  1000.0  1040.0  1090.0  1090.0  1000.0  1010.0   \n",
       "\n",
       "                 8       9   ...     90     91     92     93     94     95  \\\n",
       "roll_result     2.0     4.0  ...    8.0    3.0    7.0    5.0    7.0    4.0   \n",
       "net_worth    1000.0  1000.0  ...  898.0  898.0  848.0  848.0  828.0  828.0   \n",
       "\n",
       "                96     97     98     99  \n",
       "roll_result    4.0    7.0    5.0    8.0  \n",
       "net_worth    878.0  878.0  878.0  878.0  \n",
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     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Read into a dataframe\n",
    "df = pd.DataFrame(game_history)\n",
    "df.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the simulated performance\n",
    "fig = px.line(df['net_worth'], labels={'value': 'Bankroll', 'index': 'nth roll'}, \n",
    "        title='Simulation of the ThreePoint Molly')\n",
    "\n",
    "fig.show(renderer = 'svg')"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Parallel Procesing with [joblib](https://joblib.readthedocs.io/en/latest/)\n",
    "\n",
    "Joblib is a fantastic library for parallel processing [embarrassingly parallel](https://joblib.readthedocs.io/en/latest/parallel.html) workloads, which will work great for a monte carlo simulation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: joblib in ./venv/lib/python3.8/site-packages (1.1.0)\n"
     ]
    }
   ],
   "source": [
    "# Install joblib\n",
    "!pip install joblib\n",
    "import joblib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Simulate 16 games, running 4 games at a time in parallel\n",
    "games = joblib.Parallel(n_jobs=4)(joblib.delayed(simulate_game)(**{'loglevel':40}) for i in range(16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
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class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(255, 161, 90); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"53.6875\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g></g><g class=\"groups\" transform=\"\"><g class=\"traces\" transform=\"translate(0,317.7)\" style=\"opacity: 1;\"><text class=\"legendtext\" text-anchor=\"start\" x=\"40\" y=\"4.680000000000001\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 12px; fill: rgb(42, 63, 95); fill-opacity: 1; white-space: pre;\">15</text><g class=\"layers\" style=\"opacity: 1;\"><g class=\"legendfill\"/><g class=\"legendlines\"><path class=\"js-line\" d=\"M5,0h30\" style=\"fill: none; stroke: rgb(25, 211, 243); stroke-opacity: 1; stroke-width: 2px;\"/></g><g class=\"legendsymbols\"><g class=\"legendpoints\"/></g></g><rect class=\"legendtoggle\" x=\"0\" y=\"-9.5\" width=\"53.6875\" height=\"19\" style=\"fill: rgb(0, 0, 0); fill-opacity: 0;\"/></g></g></g><rect class=\"scrollbar\" rx=\"20\" ry=\"3\" width=\"0\" height=\"0\" style=\"fill: rgb(128, 139, 164); fill-opacity: 1;\" x=\"0\" y=\"0\"/></g><g class=\"g-gtitle\"><text class=\"gtitle\" x=\"35\" y=\"50\" text-anchor=\"start\" dy=\"0em\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 17px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;\">Simulation of 16 games with 100 rolls each.</text></g><g class=\"g-xtitle\"><text class=\"xtitle\" x=\"338\" y=\"460.8\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;\">nth roll</text></g><g class=\"g-ytitle\"><text class=\"ytitle\" transform=\"rotate(-90,27.496875000000003,260)\" x=\"27.496875000000003\" y=\"260\" text-anchor=\"middle\" style=\"font-family: 'Open Sans', verdana, arial, sans-serif; font-size: 14px; fill: rgb(42, 63, 95); opacity: 1; font-weight: normal; white-space: pre;\">Bankroll</text></g></g></svg>"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gather the results and plot the simulations. \n",
    "data = [pd.DataFrame(gh)['net_worth'] for gh in games]\n",
    "df   = pd.concat(data, axis=1)\n",
    "df.columns = [str(i) for i in range(len(df.columns))] # Change the column names\n",
    "\n",
    "# Plot, make it pretty\n",
    "fig = px.line(df, labels={ \"value\": \"Bankroll\",\n",
    "                     \"index\": \"nth roll\",\n",
    "                     \"variable\": \"Simulation #\" },\n",
    "    title=f'Simulation of {len(df.columns)} games with {rolls} rolls each.')\n",
    "\n",
    "fig.show(renderer = 'svg')"
   ]
  }
 ],
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