doc/examples/Quick Start User Guide.ipynb

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    "_Backtesting.py_ Quick Start User Guide\n",
    "=======================\n",
    "\n",
    "This tutorial shows some of the features of *backtesting.py*, a Python framework for [backtesting](https://www.investopedia.com/terms/b/backtesting.asp) trading strategies.\n",
    "\n",
    "_Backtesting.py_ is a small and lightweight, blazing fast backtesting framework that uses state-of-the-art Python structures and procedures (Python 3.6+, Pandas, NumPy, Bokeh). It has a very small and simple API that is easy to remember and quickly shape towards meaningful results. The library _doesn't_ really support stock picking or trading strategies that rely on arbitrage or multi-asset portfolio rebalancing; instead, it works with an individual tradeable asset at a time and is best suited for optimizing position entrance and exit signal strategies, decisions upon values of technical indicators, and it's also a versatile interactive trade visualization and statistics tool.\n",
    "\n",
    "\n",
    "## Data\n",
    "\n",
    "_You bring your own data._ Backtesting ingests _all kinds of \n",
    "[OHLC](https://en.wikipedia.org/wiki/Open-high-low-close_chart)\n",
    "data_ (stocks, forex, futures, crypto, ...) as a\n",
    "[pandas.DataFrame](https://pandas.pydata.org/pandas-docs/stable/10min.html)\n",
    "with columns `'Open'`, `'High'`, `'Low'`, `'Close'` and (optionally) `'Volume'`.\n",
    "Such data is widely obtainable, e.g. with packages:\n",
    "* [pandas-datareader](https://pandas-datareader.readthedocs.io/en/latest/),\n",
    "* [Quandl](https://www.quandl.com/tools/python),\n",
    "* [findatapy](https://github.com/cuemacro/findatapy),\n",
    "* [yFinance](https://github.com/ranaroussi/yfinance),\n",
    "* [investpy](https://investpy.readthedocs.io/),\n",
    "  etc.\n",
    "\n",
    "Besides these columns, **your data frames can have additional columns which are accessible in your strategies in a similar manner**.\n",
    "\n",
    "DataFrame should ideally be indexed with a _datetime index_ (convert it with [`pd.to_datetime()`](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html));\n",
    "otherwise a simple range index will do."
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      "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",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-02-25</th>\n",
       "      <td>802.30</td>\n",
       "      <td>808.41</td>\n",
       "      <td>790.49</td>\n",
       "      <td>790.77</td>\n",
       "      <td>2303900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-26</th>\n",
       "      <td>795.00</td>\n",
       "      <td>795.95</td>\n",
       "      <td>784.40</td>\n",
       "      <td>790.13</td>\n",
       "      <td>2202500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-27</th>\n",
       "      <td>794.80</td>\n",
       "      <td>804.75</td>\n",
       "      <td>791.11</td>\n",
       "      <td>799.78</td>\n",
       "      <td>2026100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-28</th>\n",
       "      <td>801.10</td>\n",
       "      <td>806.99</td>\n",
       "      <td>801.03</td>\n",
       "      <td>801.20</td>\n",
       "      <td>2265800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-01</th>\n",
       "      <td>797.80</td>\n",
       "      <td>807.14</td>\n",
       "      <td>796.15</td>\n",
       "      <td>806.19</td>\n",
       "      <td>2175400</td>\n",
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      "text/plain": [
       "             Open   High    Low  Close   Volume\n",
       "2013-02-25 802.30 808.41 790.49 790.77  2303900\n",
       "2013-02-26 795.00 795.95 784.40 790.13  2202500\n",
       "2013-02-27 794.80 804.75 791.11 799.78  2026100\n",
       "2013-02-28 801.10 806.99 801.03 801.20  2265800\n",
       "2013-03-01 797.80 807.14 796.15 806.19  2175400"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example OHLC daily data for Google Inc.\n",
    "from backtesting.test import GOOG\n",
    "\n",
    "GOOG.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Strategy\n",
    "\n",
    "Let's create our first strategy to backtest on these Google data, a simple [moving average (MA) cross-over strategy](https://en.wikipedia.org/wiki/Moving_average_crossover).\n",
    "\n",
    "_Backtesting.py_ doesn't ship its own set of _technical analysis indicators_. Users favoring TA should probably refer to functions from proven indicator libraries, such as\n",
    "[TA-Lib](https://github.com/TA-Lib/ta-lib-python) or\n",
    "[Tulipy](https://tulipindicators.org),\n",
    "but for this example, we can define a simple helper moving average function ourselves:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "\n",
    "def SMA(values, n):\n",
    "    \"\"\"\n",
    "    Return simple moving average of `values`, at\n",
    "    each step taking into account `n` previous values.\n",
    "    \"\"\"\n",
    "    return pd.Series(values).rolling(n).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A new strategy needs to extend \n",
    "[`Strategy`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Strategy)\n",
    "class and override its two abstract methods:\n",
    "[`init()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Strategy.init) and\n",
    "[`next()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Strategy.next).\n",
    "\n",
    "Method `init()` is invoked before the strategy is run. Within it, one ideally precomputes in efficient, vectorized manner whatever indicators and signals the strategy depends on.\n",
    "\n",
    "Method `next()` is then iteratively called by the\n",
    "[`Backtest`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest)\n",
    "instance, once for each data point (data frame row), simulating the incremental availability of each new full candlestick bar.\n",
    "\n",
    "Note, _backtesting.py_ cannot make decisions / trades _within_ candlesticks — any new orders are executed on the next candle's _open_ (or the current candle's _close_ if\n",
    "[`trade_on_close=True`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.__init__)).\n",
    "If you find yourself wishing to trade within candlesticks (e.g. daytrading), you instead need to begin with more fine-grained (e.g. hourly) data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from backtesting import Strategy\n",
    "from backtesting.lib import crossover\n",
    "\n",
    "\n",
    "class SmaCross(Strategy):\n",
    "    # Define the two MA lags as *class variables*\n",
    "    # for later optimization\n",
    "    n1 = 10\n",
    "    n2 = 20\n",
    "    \n",
    "    def init(self):\n",
    "        # Precompute the two moving averages\n",
    "        self.sma1 = self.I(SMA, self.data.Close, self.n1)\n",
    "        self.sma2 = self.I(SMA, self.data.Close, self.n2)\n",
    "    \n",
    "    def next(self):\n",
    "        # If sma1 crosses above sma2, close any existing\n",
    "        # short trades, and buy the asset\n",
    "        if crossover(self.sma1, self.sma2):\n",
    "            self.position.close()\n",
    "            self.buy()\n",
    "\n",
    "        # Else, if sma1 crosses below sma2, close any existing\n",
    "        # long trades, and sell the asset\n",
    "        elif crossover(self.sma2, self.sma1):\n",
    "            self.position.close()\n",
    "            self.sell()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In `init()` as well as in `next()`, the data the strategy is simulated on is available as an instance variable\n",
    "[`self.data`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Strategy.data).\n",
    "\n",
    "In `init()`, we declare and **compute indicators indirectly by wrapping them in \n",
    "[`self.I()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Strategy.I)**.\n",
    "The wrapper is passed a function (our `SMA` function) along with any arguments to call it with (our _close_ values and the MA lag). Indicators wrapped in this way will be automatically plotted, and their legend strings will be intelligently inferred.\n",
    "\n",
    "In `next()`, we simply check if the faster moving average just crossed over the slower one. If it did and upwards, we close the possible short position and go long; if it did and downwards, we close the open long position and go short. Note, we don't adjust order size, so _Backtesting.py_ assumes _maximal possible position_. We use\n",
    "[`backtesting.lib.crossover()`](https://kernc.github.io/backtesting.py/doc/backtesting/lib.html#backtesting.lib.crossover)\n",
    "function instead of writing more obscure and confusing conditions, such as:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "%%script echo\n",
    "\n",
    "    def next(self):\n",
    "        if (self.sma1[-2] < self.sma2[-2] and\n",
    "                self.sma1[-1] > self.sma2[-1]):\n",
    "            self.position.close()\n",
    "            self.buy()\n",
    "\n",
    "        elif (self.sma1[-2] > self.sma2[-2] and    # Ugh!\n",
    "              self.sma1[-1] < self.sma2[-1]):\n",
    "            self.position.close()\n",
    "            self.sell()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In `init()`, the whole series of points was available, whereas **in `next()`, the length of `self.data` and all declared indicators is adjusted** on each `next()` call so that `array[-1]` (e.g. `self.data.Close[-1]` or `self.sma1[-1]`) always contains the most recent value, `array[-2]` the previous value, etc. (ordinary Python indexing of ascending-sorted 1D arrays).\n",
    "\n",
    "**Note**: `self.data` and any indicators wrapped with `self.I` (e.g. `self.sma1`) are NumPy arrays for performance reasons. If you prefer pandas Series or DataFrame objects, use `Strategy.data.<column>.s` or `Strategy.data.df` accessors respectively. You could also construct the series manually, e.g. `pd.Series(self.data.Close, index=self.data.index)`.\n",
    "\n",
    "We might avoid `self.position.close()` calls if we primed the\n",
    "[`Backtest`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest)\n",
    "instance with `Backtest(..., exclusive_orders=True)`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Backtesting\n",
    "\n",
    "Let's see how our strategy performs on historical Google data. The\n",
    "[`Backtest`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest)\n",
    "instance is initialized with OHLC data and a strategy _class_ (see API reference for additional options), and we begin with 10,000 units of cash and set broker's commission to realistic 0.2%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Start                     2004-08-19 00:00:00\n",
       "End                       2013-03-01 00:00:00\n",
       "Duration                   3116 days 00:00:00\n",
       "Exposure Time [%]                       94.27\n",
       "Equity Final [$]                     68935.12\n",
       "Equity Peak [$]                      68991.22\n",
       "Return [%]                             589.35\n",
       "Buy & Hold Return [%]                  703.46\n",
       "Max. Drawdown [%]                      -33.08\n",
       "Avg. Drawdown [%]                       -5.58\n",
       "Max. Drawdown Duration      688 days 00:00:00\n",
       "Avg. Drawdown Duration       41 days 00:00:00\n",
       "# Trades                                   93\n",
       "Win Rate [%]                            53.76\n",
       "Best Trade [%]                          57.12\n",
       "Worst Trade [%]                        -16.63\n",
       "Avg. Trade [%]                           1.96\n",
       "Max. Trade Duration         121 days 00:00:00\n",
       "Avg. Trade Duration          32 days 00:00:00\n",
       "Profit Factor                            2.13\n",
       "Expectancy [%]                           6.91\n",
       "SQN                                      1.78\n",
       "Sharpe Ratio                             0.18\n",
       "Sortino Ratio                            0.44\n",
       "Calmar Ratio                             0.06\n",
       "_strategy                            SmaCross\n",
       "_equity_curve                          Equ...\n",
       "_trades                       Size  EntryB...\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from backtesting import Backtest\n",
    "\n",
    "bt = Backtest(GOOG, SmaCross, cash=10_000, commission=.002)\n",
    "stats = bt.run()\n",
    "stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[`Backtest.run()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.run)\n",
    "method returns a pandas Series of simulation results and statistics associated with our strategy. We see that this simple strategy makes almost 600% return in the period of 9 years, with maximum drawdown 33%, and with longest drawdown period spanning almost two years ...\n",
    "\n",
    "[`Backtest.plot()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.plot)\n",
    "method provides the same insights in a more visual form."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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JJHBAg8DKoUVycEABAAAAALRwQLFyaJHtAnFANDMzMzM/cUA4iUFg5WRxQAVWDi2yjXFA5tAi2/mycUCzne+nxs1xQDDdJAaBz3FAq/HSTWK6cUDQ91PjpalxQMLKoUW2qXFAsXJoke2icUAWrkfheppxQPPSTWIQqnFAMd0kBoGvcUDKdr6fGsdxQCYGgZVD6XFAyna+nxoPckCzne+nxityQI6XbhKDRnJAeukmMQhYckCdxCCwcmZyQHaTGARWbHJAuR6F61F2ckCYbhKDwIByQI6XbhKDenJAzszMzMxmckCzne+nxmFyQAMrhxbZbnJAKDEIrBx6ckBNN4lBYIdyQK9H4XoUnnJAAyuHFtm+ckBBNV66SdxyQF6PwvUo5nJAXo/C9SjqckCVGARWDvFyQIgW2c737XJAoRov3STickAusp3vp8xyQIgW2c73v3JARrbz/dSuckBbZDvfT5dyQE03iUFgfXJAnu+nxkttckAPLbKd72VyQGMQWDm0XnJAYxBYObRMckDeJAaBlT1yQCCF61G4QHJAB4GVQ4s0ckB8FK5H4R5yQJDC9ShcC3JA5tAi2/nucUDwp8ZLN9txQBODwMqhv3FAnMQgsHKscUC38/3UeKdxQEJg5dAipXFAW2Q730+bcUDgT42XbqJxQBsv3SQGpXFAWTm0yHamcUAVrkfherBxQAAAAAAAvnFAKlyPwvXScUCClUOLbOtxQA4tsp3v/3FAdZMYBFYackDVeOkmMURyQI/C9ShcaXJASgwCK4eCckCF61G4Hp1yQD0K16Nws3JAQ4ts5/vLckAkBoGVQ+1yQI2XbhKDCHNArkfhehQic0AmMQisHDxzQEs3iUFgQ3NAokW28/1Gc0BuEoPAyktzQKJFtvP9VnNAXrpJDAJxc0BGtvP91IhzQLKd76fGjXNAHVpkO9+Lc0CuR+F6FI5zQD81XrpJinNAFa5H4XqEc0AOLbKd73dzQNrO91Pjb3NAZ2ZmZmZcc0DazvdT4ztzQAEAAAAAJnNA0PdT46UZc0DgT42XbhZzQP7UeOkmB3NAku18PzUyc0BeukkMAm9zQPyp8dJNsHNA+n5qvHQHdECbxCCwcmB0QARWDi2yw3RAhetRuB4vdUB7FK5H4ah1QJzEILByGnZAAiuHFtmedkAEVg4tsu92QJZDi2znOXdAppvEILB+d0C0yHa+n6R3QHJoke184XdAkxgEVg4VeEARWDm0yDx4QMZLN4lBUnhAKocW2c5veEArhxbZzot4QPp+arx0m3hAq/HSTWKyeEA5iUFg5dx4QEe28/3UInlAwZ8aL91eeUBxEoPAypN5QP6p8dJNnnlASuF6FK6xeUB6vp8aL8t5QEaLbOf74XlAYrpJDALreUCi76fGS+N5QAhWDi2yz3lAYI/C9Si8eUAQAiuHFp15QAdWDi2yi3lAwHSTGASieUDVItv5frh5QH3pJjEIxnlAzqFFtvPZeUDOoUW28/d5QIbAyqFFIHpA0vdT46VDekAgWmQ732V6QHU9CtejiHpA3s73U+ObekD9U+Olm6p6QJKXbhKDrHpAle18PzWgekB6kxgEVqh6QJPC9ShcyXpA+ihcj8LrekCqm8QgsCp7QFs5tMh2YntAPt9PjZege0C1ne+nxut7QH4UrkfhJnxAdT0K16NwfEAO16NwPcR8QIA/NV6603xAjmzn+6nFfECNQWDl0HJ8QPooXI/CNXxAJbByaJEPfECbbhKDwNR7QOjQItv5mHtAmm4Sg8Boe0CNbOf7qSl7QAiBlUOL8npAqsZLN4mtekB9FK5H4Wx6QFBiEFg5UHpArfHSTWIMekCV7Xw/NZR5QBItsp3vLXlARGDl0CK1eECAPzVeukN4QBEtsp3vwXdApUW28/0yd0DOoUW289N2QLjIdr6fpHZAoxov3SSQdkBODAIrh3J2QHU9CtejbnZAHy/dJAZ9dkBKtvP91Jp2QCoGgZVDx3ZAepMYBFbidkBnEFg5tAR3QPSnxks3O3dAixbZzvdNd0C1cmiR7Ux3QDPdJAaBSXdAtXJoke02d0COQWDl0P52QOrQItv5vnZAj2zn+6lpdkAa2c73U1d2QAYrhxbZNnZAxvUoXI/6dUBGYOXQIr11QOZ6FK5HnXVAfukmMQh2dUAdBFYOLWB1QGpmZmZmXnVATOF6FK6LdUDezvdT4791QGk730+N6XVAvR6F61E6dkBzEoPAyol2QOilm8Qg2nZACoGVQ4scd0BaDi2ynYN3QDheukkM8HdA9/3UeOleeEB2aJHtfJ94QNl46SYx6nhA6KWbxCAeeUAZrkfhejR5QORPjZduSnlA2E1iEFhleUD9U+Olm3x5QF05tMh2hnlATeF6FK6ReUAD1XjpJrt5QHC8dJMY8nlA2E1iEFgDekBDCtejcB16QMBJDAIrL3pAKNv5fmpIekA+tMh2vjt6QHY9CtejLHpAk5duEoMSekAtMQisHPJ5QBiDwMqhrXlAGq5H4XpkeUDOdr6fGkd5QL4ehetRInlAvfP91HjteEBSN4lBYKd4QJoYBFYOg3hAAH9qvHRdeEBKi2zn+z14QI0W2c73F3hAi+tRuB7xd0CoRbbz/cp3QKpwPQrXlXdAVo2XbhJzd0Azsp3vp2x3QJjtfD81eHdADqwcWmRxd0BTYhBYOXJ3QPWnxks3f3dA4Pl+aryMd0AvhxbZzpN3QIjAyqFFsndA+yhcj8LDd0Ddo3A9Ctd3QFrjpZvE3HdAVo2XbhLdd0BsZmZmZvR3QJKXbhKDCHhAWLgehesVeEAULbKd7yd4QGbl0CLbPXhA2E1iEFg5eEB6kxgEVlJ4QOrQItv5XHhADtejcD16eEBNDAIrh554QC6HFtnOt3hAxvUoXI/aeED9fmq8dAV5QCgGgZVDM3lAksL1KFxreUBQYhBYOaJ5QFO4HoXrw3lAIIXrUbjkeUDz0k1iEPp5QPpT46WbGnpA0yLb+X4yekAFK4cW2TZ6QM2hRbbzH3pA0vdT46UNekDIILByaO15QLrz/dR4yXlA+Shcj8KPeUDzp8ZLN195QKvGSzeJM3lA8qfGSzf7eEAm2/l+ash4QOalm8QgnnhA7lG4HoWFeED+fmq8dGN4QAusHFpkN3hAxvUoXI8EeEBzEoPAyvF3QLed76fG13dAmRgEVg7Dd0BO4XoUrrV3QEqLbOf7p3dAxJ8aL92ad0C78/3UeHt3QAYAAAAAYHdA4Pl+arxod0DxUbgehYl3QB4EVg4tmndADqwcWmSpd0A2CKwcWqh3QMJ0kxgEpHdAbGZmZmaed0DV91PjpZ13QCsGgZVDpXdAClYOLbK3d0BeObTIdrR3QGBkO99PqXdATeF6FK6dd0D30k1iEJZ3QJXC9ShcoXdAvh6F61Gkd0Ap2/l+aqx3QGS6SQwCs3dAepMYBFbEd0Bl5dAi29V3QDpeukkMAnhA86fGSzcneEBQN4lBYFl4QInrUbgek3hADtejcD2yeEDyp8ZLN814QD7fT42X+nhAsUfhehQkeUCYQ4ts50N5QGLl0CLbW3lAvnSTGARWeUBON4lBYFV5QPpT46WbSHlAxiCwcmgzeUC0ne+nxjN5QAZWDi2yUXlAFoPAyqFZeUCu8dJNYnR5QCbb+X5qnHlA9dJNYhC8eUByEoPAyuF5QIoW2c73B3pA+1PjpZswekDNdr6fGlF6QJBs5/upa3pAQwrXo3BxekAQ16NwPYh6QPr91HjpxnpA+yhcj8IZe0Aq2/l+amR7QIZqvHSTxHtATrbz/dQgfEC+8/3UeG18QH6+nxovxXxAsvHSTWIefUB6aJHtfGt9QNX3U+OlsX1AmhgEVg7FfUC2cmiR7b59QD60yHa+vX1Ae76fGi+rfUCwHFpkO5d9QEDfT42XlH1Agj81XrqbfUCu8dJNYrB9QLvz/dR4131AmBgEVg4BfkAO16NwPSx+QDgzMzMzSX5ATgwCK4eEfkDYTWIQWLl+QEZg5dAi7X5AmBgEVg7/fkD9U+Olmwx/QL5JDAIrBX9Atp3vp8b5fkBbDi2yneF+QGBkO99Py35A5U+Nl26+fkC2cmiR7Zx+QHuTGARWdH5A+v3UeOlSfkCgmZmZmVF+QG6R7Xw/RX5A23jpJjE8fkDezvdT4zd+QBICK4cWN35AMIcW2c4TfkAo2/l+avZ9QIrrUbgezX1AjUFg5dCifUC+SQwCK3V9QLNyaJHtSn1As3Joke00fUB1PQrXoxp9QMJ0kxgE+HxATeF6FK7jfEAo2/l+agR9QCsxCKwcIn1AODMzMzNDfUCzR+F6FHJ9QEU1XrpJqH1AdRKDwMrrfUBz5/up8SZ+QApWDi2yaX5Ag2q8dJOkfkAtXI/C9cR+QNZNYhBYz35Ae76fGi/FfkATLbKd771+QNP3U+Ol035A/n5qvHTRfkBtke18P8t+QDgzMzMzt35AKgaBlUOnfkDCdJMYBK5+QEU1XrpJpH5AEgIrhxaXfkA4MzMzM4F+QBICK4cWdX5AQt9PjZdGfkCj76fGSyt+QOvQItv59H1ARTVeukm+fUAVLbKd74V9QCIv3SQGTX1Ahmq8dJMsfUC1R+F6FBp9QEuLbOf7IX1AqkW28/0ofUB9kxgEVjJ9QFDhehSuMX1ADoGVQ4s2fUBiZDvfTyd9QCNaZDvfF31AajvfT437fEASAiuHFtd8QGgQWDm0qHxAhpVDi2yRfEBWjZduEnF8QCsGgZVDT3xAZbpJDAIzfEAlhetRuCJ8QK3GSzeJGXxA9afGSzcXfEDQoUW28xN8QIaVQ4tsF3xAu/P91HghfECocD0K1w18QKLvp8ZLD3xAYrpJDAIbfEA2MzMzMyl8QJ2ZmZmZOXxACoGVQ4tafECbbhKDwHB8QL0ehetRiHxAwHSTGASkfEBtvHSTGLZ8QC6HFtnO4XxAK1yPwvX4fEAqMQisHAh9QLsehetREn1AIoXrUbgUfUAbBFYOLRZ9QKVFtvP9Hn1A4CQGgZUnfUCTwvUoXEF9QNp46SYxWH1A0/dT46VdfUAwsp3vp159QJPtfD81cH1Am5mZmZmBfUBqke18P5N9QBJYObTIqH1AAyuHFtm+fUA1MzMzM9N9QIBqvHSTzn1A0iLb+X7IfUDjpZvEILh9QC2yne+nun1AE65H4XqofUDdJAaBlZV9QOBPjZduhH1AncQgsHJ2fUD1/dR46VZ9QOJ6FK5HQ31AUrgeheszfUC4HoXrUSJ9QGiR7Xw/LX1AVg4tsp0pfUB1kxgEVih9QI1s5/upLX1AoBov3SQ8fUAFVg4tskN9QIPAyqFFWH1AhutRuB5zfUDQ91PjpZt9QPpT46Wb3H1ADgIrhxYFfkDWeOkmMTR+QKNFtvP9bn5AGgRWDi28fkACAAAAAAB/QDu0yHa+QX9Am5mZmZmDf0AqMQisHLB/QPJ8PzVezH9ApUW28/3Wf0B+FK5H4d5/QJBs5/up539A7iYxCKz0f0CGlUOLbO1/QB4EVg4t4H9AM7Kd76fef0CqcD0K1+1/QBNYObTIA4BAGwRWDi0YgEC/dJMYBCmAQJpuEoPAOoBANjMzMzNIgEDWTWIQWFSAQPB8PzVeZIBABlYOLbJ9gECycmiR7ZGAQKVFtvP9n4BAgD81XrqsgEBuvHSTGLiAQBrZzvdTx4BAOF66SQzdgEDkehSuR/WAQOjQItv5CIFAy3a+nxoVgUDsJjEIrBqBQGuR7Xw/C4FAle18PzXzgEDe+X5qvNuAQIoW2c73v4BAzHa+nxqigEDdzvdT44GAQK7x0k1iZIBArvHSTWJAgEBFYOXQIiOAQFONl24SBYBAnm4Sg8Duf0Di+X5qvOp/QI0W2c737X9Az8zMzMwDgEB6vp8aLwmAQIbAyqFFDIBAE1g5tMgLgECObOf7qQqAQGoQWDm0/H9A81G4HoXdf0AYWDm0yNh/QAJ/arx0xX9AbWZmZma2f0BrO99PjaF/QHpoke18nX9ARjVeukmcf0BqEFg5tJh/QH2+nxovlX9AxsqhRbatf0DwUbgehc1/QGXl0CLb5X9AwsqhRbYIgECObOf7qRmAQON6FK5HIoBAYLpJDAIogEA930+NlyeAQDZeukkMLoBANl66SQw7gEAisHJokUSAQJ3EILByUoBAdGiR7XxagEDeJAaBlWKAQOn7qfHScYBAhcDKoUWJgEAeWmQ736mAQGUQWDm01IBApnA9Ctf6gEBrke18Px+BQISVQ4tsQYFADdejcD1ggUDao3A9Co6BQHiTGARWtYFAU42XbhLTgUB86SYxCOiBQNh46SYxA4JAuvP91HgkgkAm2/l+akmCQDczMzMzd4JA0czMzMyigkA7iUFg5dqCQHDn+6nx+IJArxxaZDsSg0DQzMzMzDmDQIbAyqFFaoNA0MzMzMySg0BmEFg5tLODQBsEVg4t5INA7lG4HoUMhEB/PzVeujGEQNMi2/l+T4RAcRKDwMp+hEAthxbZzr2EQLbIdr6f+IRA0yLb+X4rhUB/PzVeumCFQNH3U+OlnIVAWjm0yHbRhUBej8L1KP+FQIOVQ4tsE4ZAVLgehesKhkDWeOkmMeWFQItBYOXQyYVAxfUoXI+VhUDCyqFFtlqFQFgOLbKdHIVAtZ3vp8bMhEAbBFYOLYKEQA3Xo3A9SIRATAwCK4c6hEAA1XjpJjyEQDMIrBxaXYRAIYXrUbh2hEDn0CLb+aKEQC+yne+n1YRA59Ai2/n7hEC2yHa+nyqFQJuZmZmZUoVACqwcWmR+hUCycmiR7ZyFQMCfGi/dxoVA73w/NV7bhUDZo3A9CuGFQErhehSu3oVAapHtfD/chUDHILByaNKFQPkoXI/CyYVABSuHFtm4hUALrBxaZKSFQAYrhxbZlYVACFYOLbKHhUBiukkMApGFQInrUbgekoVAmUOLbOeYhUCJ61G4HpqFQN3O91PjpoVAuvP91HiwhUAcBFYOLaCFQOv7qfHSf4VAjUFg5dBLhUByEoPAyiWFQDLdJAaB8oRAkJduEoPAhEAJgZVDi5mEQBauR+F6boRADgIrhxY3hED8fmq8dPODQJYYBFYOxoNARGDl0CKSg0Com8QgsE+DQCGF61G4EINA+35qvHTQgkByPQrXo46CQAIAAAAAPIJA0yLb+X70gUAbBFYOLcuBQCcGgZVDh4FAxyCwcmgzgUDwfD81XvWAQKZwPQrXz4BAlO18PzWYgEBACtejcHCAQOAkBoGVVIBAcz0K16M6gEAihetRuC+AQLFH4XoUFoBAU42XbhIhgEDczvdT4yuAQNL3U+OlLYBAI7ByaJEugEAFK4cW2TCAQNL3U+OlGIBApRov3STWf0C2ne+nxo1/QGO6SQwCL39Ao++nxkvNfkDOdr6fGll+QKYaL90k8n1A+NJNYhCQfUAyhxbZzh99QK2bxCCwqHxAIARWDi00fED4p8ZLNw18QLpyaJHt2HtAjutRuB6le0CeQ4ts5297QGA5tMh2NHtA/Shcj8Ire0B4PQrXoxJ7QAgAAAAAFHtAsMZLN4k/e0CqRbbz/Xp7QDgIrBxamHtAQt9PjZeee0BoEFg5tJZ7QBZYObTImntA6qWbxCDke0BC30+Nlw58QOMkBoGVM3xA1fdT46VvfECQbOf7qYl8QPr91HjppHxAk5duEoOufECTl24Sg9Z8QDXdJAaB9XxAyiCwcmgHfUD1p8ZLN+l8QKUaL90k2HxA9afGSzfPfEBODAIrhzx9QLNH4XoUnn1A4iQGgZUpfkAqBoGVQ61+QJ6ZmZmZI39AHgRWDi2uf0D9fmq8dCeAQPkoXI/CgIBAvkkMAivggEADAAAAAFOBQDLdJAaBdIFA2HjpJjGigUDkehSuR7uBQEI1XrpJ1YFAKAaBlUP1gUCCarx0kwyCQEm28/3UJoJA/X5qvHQ6gkD10k1iEDyCQGpmZmZmMoJAhJVDi2wxgkDuUbgehSOCQF5kO99PHYJAzHa+nxoGgkAoBoGVQ+uBQGpmZmZm1IFAvUkMAivBgUCSwvUoXLWBQCGF61G4uoFAxfUoXI++gUAy3SQGgbqBQBrZzvdTsoFAUWIQWDmtgUCGwMqhRcqBQP+p8dJN2IFAmUOLbOfigUDvUbgehd2BQBACK4cWy4FAOV66SQyzgUBaDi2ynaeBQMKfGi/dpYFAPt9PjZengUAihetRuJ+BQKZwPQrXioFArfHSTWJ6gUDKSzeJQXCBQPkoXI/CZoFAamZmZmZrgUBuvHSTGFiBQNZNYhBYNYFArhxaZDsQgUCexCCwcvSAQBoEVg4t2IBAWA4tsp3FgECbmZmZmcOAQJUYBFYOy4BA+35qvHTKgEAoMQisHMKAQGy8dJMYxoBAEC2yne/AgEDrJjEIrLiAQPB8PzVeuYBAdmiR7Xy+gEBv5/up8ZGAQGPl0CLbVYBAVbgehesXgEAtMQisHNx/QNt46SYxdH9A6HoUrkcxf0C1R+F6FOp+QGBkO99PtX5A7iYxCKxgfkDASQwCKwF+QBiDwMqh631ANgisHFrifUDi+X5qvOZ9QOqlm8Qg4n1Agz81XrrnfUCGarx0k+x9QFIMAiuHEn5AhT81XroxfkACf2q8dE1+QBLXo3A9gH5AnUOLbOfDfkCy8dJNYvx+QIiVQ4tsDX9A6HoUrkcLf0BIYOXQIhd/QPjSTWIQEH9ArsZLN4nzfkDDdJMYBMZ+QAtWDi2yk35AMFyPwvVgfkBLi2zn+xV+QNB2vp8a4X1AlsL1KFy3fUC6ne+nxn99QOulm8QgPH1A0Ha+nxrLfECmGi/dJGR8QKYaL90kBHxAKtv5fmrMe0C7yHa+n5J7QK7GSzeJY3tA7vup8dI/e0DSoUW28+96QPjSTWIQ3npAm0OLbOflekCY7Xw/NfZ6QH2+nxovB3tAaBBYObQoe0D40k1iEDJ7QL3z/dR4J3tAPolBYOXSekDdo3A9Co96QP5T46WbinpAxZ8aL908ekDoehSuR9l5QKlFtvP9enlAuZ3vp8b1eECGarx0k1p4QOQkBoGVqXdAi+tRuB4Ld0AE1XjpJgt3QDOyne+nznZAhWq8dJNadkC6yHa+nx52QBiDwMqhB3ZA/lPjpZsUdkAOrBxaZC92QHloke18S3ZATLbz/dRwdkDXItv5fnx2QDxeukkMKnZAx8qhRbYzdkCqcD0K11F2QJSXbhKDXHZAiJVDi2xHdkA+iUFg5RJ2QKCZmZmZGXZALTEIrBwEdkA3CKwcWuJ1QGBkO99P1XVAHgRWDi3EdUCTl24Sg2h1QGBkO99P/XRAR2Dl0CKxdEDaeOkmMWJ0QAUAAAAAGHRAWeOlm8Soc0C78/3UeEVzQI5BYOXQ0nJAgBSuR+FkckDg+X5qvAJyQE3hehSu03FAhpVDi2zVcUBLtvP91LZxQK/x0k1icHFA83w/NV5IcUDiJAaBlStxQBDXo3A9InFAHNnO91NJcUCPQWDl0IhxQF45tMh21nFAo++nxksBckACqvHSTQ5yQBZYObTIMnJAisDKoUV6ckAMgZVDi8pyQKpwPQrXA3NA2k1iEFg9c0CzHFpkO2dzQLMcWmQ7X3NAlZduEoNSc0CM61G4HklzQNpNYhBYSXNABgAAAAAsc0CcQ4ts5x9zQAtWDi2yA3NAiJVDi2wNc0Bo5dAi2ylzQLZH4XoUUHNAWbgehet3c0APrBxaZKNzQBhYObTItnNAlZduEoPKc0BsO99PjeVzQOqlm8Qg4nNAisDKoUXUc0Aag8DKobFzQAXVeOkmaXNA5CQGgZU3c0Bb46WbxB5zQEqLbOf7HXNA+NJNYhAsc0DqpZvEIEpzQBICK4cWgXNACCuHFtnEc0AtMQisHAR0QGo730+NRXRAIlpkO9+hdEA/tMh2vuF0QKPvp8ZLLXVA7fup8dJ3dUCRbOf7qc91QPn91Hjp+nVAmkOLbOcJdkC78/3UeCl2QCsxCKwcSHZA/n5qvHRLdkDFyqFFtl92QEZg5dAiX3ZAM90kBoFTdkBoO99PjRF2QA7Xo3A93HVAa5HtfD/BdUAfWmQ73591QLWd76fGd3VAb+f7qfFGdUD9fmq8dCt1QJpuEoPA9HRAZzvfT425dEBw5/up8Xx0QIbAyqFFPnRAuMh2vp8CdEAxsp3vp9xzQI5BYOXQxnNAzXa+nxqxc0AC1XjpJqVzQLVyaJHttHNAWg4tsp3Lc0DWItv5fvJzQNujcD0KFXRAUDeJQWBxdEC2ne+nxq90QBeDwMqh2XRAbZHtfD8JdUDVItv5fi51QKLvp8ZLU3VA0vdT46VndUCwHFpkO4l1QBrZzvdTvXVAI4XrUbj8dUCkGi/dJBx2QJKXbhKDLnZANzMzMzNLdkASLbKd72l2QEDfT42XmnZACoGVQ4vEdkAGK4cW2fZ2QEM1XrpJLndAIFpkO99dd0DNdr6fGm13QIjAyqFFgndA/FPjpZuqd0D4/dR46c53QG68dJMY6ndAdD0K16P2d0C7HoXrUQ54QLrz/dR4IXhA26NwPQoteECTwvUoXC94QNL3U+OlU3hAsEfhehR2eED8fmq8dJV4QEwMAiuHqHhAU42XbhLFeEC7HoXrUeh4QNDMzMzMAHlAw8qhRbb9eEBej8L1KPB4QMlLN4lB6nhAeukmMQjieED7fmq8dNt4QAqsHFpk0XhA8afGSzfReEANAiuHFrt4QJ7vp8ZLtXhAsp3vp8a/eED91HjpJuF4QB2F61G4EHlA7qfGSzdLeUC+yqFFtn15QJ0aL90ksnlAxXa+nxr3eUBSDi2ynUN6QDBeukkMjHpA7dJNYhC+ekAS2c73U+l6QAgCK4cWB3tAIAaBlUMTe0CVmZmZmQN7QPIoXI/C73pASDeJQWDVekB+lUOLbKt6QCuyne+nhHpAqvHSTWJSekAVrkfheiJ6QHa+nxov/XlAvXSTGAToeUAQWDm0yOh5QIBqvHST9HlA7VG4HoX9eUDQ91PjpQN6QNv5fmq8+nlAhhbZzvfpeUCIQWDl0Nh5QL7KoUW203lAtfP91HjVeUDgehSuR9N5QM73U+Ol0XlASAwCK4fSeUCSGARWDu15QEW28/3UEnpAzvdT46U1ekAGgZVDi1Z6QH5qvHSTiHpANolBYOWwekC7dJMYBNx6QH0/NV66D3tASgwCK4cwe0ASWDm0yEh7QAVWDi2yRXtAw/UoXI9Ke0DYo3A9Cl97QP2p8dJNgntAE4PAyqGre0AA1XjpJtF7QEWLbOf75XtAPd9PjZf2e0BzaJHtfAl8QHjpJjEIIHxAsp3vp8ZDfEBlZmZmZl58QOpRuB6FeXxAKocW2c5tfEA9NV66SWB8QIZBYOXQVHxANYlBYOVkfEBOuB6F63F8QFhkO99PhXxAMjMzMzOhfECCwMqhRbB8QLgehetRtnxAUrgeheu9fEBT46WbxNh8QKjGSzeJ6XxAAAAAAAD4fEBNN4lBYPN8QFKNl24S7XxAOolBYOXcfECWGARWDtF8QPgoXI/C1XxAdWiR7XzffECwR+F6FPB8QLjz/dR4CX1A7VG4HoU9fUD7fmq8dHt9QPYoXI/CsX1AexSuR+HqfUDeJAaBlSt+QFXjpZvEYn5Aa7x0kxiMfkByPQrXo6x+QGu8dJMY0n5ASOF6FK7zfkCzne+nxv9+QAaBlUOL+H5AqMZLN4ntfkCGFtnO999+QPh+arx0335AQots5/v9fkCjcD0K1xl/QB1aZDvfP39AppvEILBof0CKQWDl0JR/QIYW2c73039A/tR46SYMgEDufD81XkCAQE5iEFg5c4BA+VPjpZudgED7fmq8dLiAQKvx0k1i2IBAdpMYBFb2gEC48/3UeA6BQPKnxks3IIFANjMzMzMkgUAqMQisHDWBQOalm8QgKoFA0fdT46UbgUDKdr6fGhCBQHRoke18B4FAQmDl0CIDgUDz0k1iEAGBQGQQWDm0B4FAFq5H4XoWgUCnm8QgsC6BQOWlm8QgPIFAHlpkO99YgUBkEFg5tHqBQMCfGi/dmoFAU7geheu3gUAKrBxaZMuBQBauR+F62oFAMgisHFrqgUAk2/l+aveBQMP1KFyPA4JADQIrhxYNgkACK4cW2RWCQB+F61G4IIJA3Pl+arwogkBfukkMAjCCQLbIdr6fOYJALrKd76dGgkAk2/l+akqCQF2PwvUoT4JAVeOlm8RTgkDufD81XlyCQGU730+NZoJAu0kMAitpgkDufD81XnGCQLJyaJHtd4JAlRgEVg6BgkACAAAAAIuCQMhLN4lBloJAq/HSTWKogkCIFtnO972CQGHl0CLb14JAbhKDwMrqgkBXObTIdgKDQArXo3A9FINAcmiR7Xwug0AFgZVDi0SDQJDtfD81TINAOt9PjZdGg0C9nxov3T6DQIUW2c73MINAkRgEVg4Xg0CP7Xw/Nf2CQJNDi2zn4oJAULgehevCgkBUDi2ynaOCQJZuEoPAgIJASAwCK4dsgkDFSzeJQUmCQG49CtejF4JApJvEILDogUBCi2zn+8GBQDe0yHa+l4FAhkFg5dBngUCqHFpkO0KBQHbpJjEIFYFAjcL1KFz1gEBjZmZmZsiAQH6VQ4tsuYBAMDMzMzO0gEAg2/l+aq+AQJrvp8ZLqYBAQIts5/uqgEBGDAIrh62AQPvUeOkmtIBA5fup8dK5gEA3tMh2vruAQK5yaJHtxoBAQGDl0CLQgEAh2/l+atGAQDsK16NwzYBAGS/dJAbHgEDSTWIQWL+AQP//////voBAKocW2c6+gEDQItv5fsSAQDrfT42XzYBAMAisHFrggEBpvHSTGPCAQNN46SYxBIFAFgRWDi0ogUBq5/up8VOBQD9g5dAifoFASAwCK4eWgUCicD0K16mBQHbpJjEIuoFAEq5H4XrDgUAkMQisHMCBQOClm8QgvIFAFQRWDi2zgUB3FK5H4aOBQH/AyqFFlYFAahKDwMqHgUCN7Xw/NYeBQB7b+X5qiIFAhmzn+6mJgUDZJAaBlYuBQASsHFpklIFAgxbZzvecgUCWmZmZmaiBQHk/NV66sIFAYmZmZmazgUDbT42XbruBQNbO91PjzoFAG4XrUbjggUAiBoGVQ/eBQM9NYhBY6IFAUg4tsp3XgUBMjZduEs2BQEThehSuxYFAcpMYBFa1gUAuCKwcWqSBQBKuR+F6g4FAVmQ7309VgUBVObTIdiWBQOT7qfHS8oBAIgaBlUPfgECIbOf7qc+AQHo/NV66qIBAZ7x0kxiFgECm8dJNYl6AQJJDi2znNIBA8P3UeOksgECSQ4ts5xyAQLufGi/dCYBACC2yne/xf0C4nxov3dR/QCayne+nsH9AWuXQItujf0AQ2c73U4t/QLDz/dR4ZX9Adj81XrpDf0AAgZVDi/x+QEU3iUFgyX5AKN0kBoGZfkA+tvP91Hh+QGgSg8DKVX5APrbz/dQsfkA+tvP91CR+QFsQWDm0Nn5Aaj0K16NcfkDOeOkmMXJ+QKPx0k1ifn5AKt0kBoF5fkCCFtnO94t+QEC28/3UiH5AqnJoke2EfkBLuB6F651+QLv1KFyPqn5AdT81XrqhfkDe+6nx0qN+QJ2bxCCwqH5AzqNwPQqrfkDQzvdT47d+QD228/3UpH5A41G4HoWLfkAytMh2vnl+QKud76fGM35Ag2zn+6nZfUAWhetRuHh9QPbUeOkmE31AskkMAiu/fEBqaJHtfIV8QFoQWDm0XHxAQAwCK4dQfEAWsHJokVV8QB5cj8L1cHxANTVeukmsfEDCzMzMzPp8QJZFtvP9Gn1AW2ZmZmZKfUCiHFpkO5N9QOr91Hjpvn1AHTEIrBzsfUBFYhBYORB+QGCR7Xw/JX5A0/l+arwqfkBdO99PjR9+QMB2vp8aEX5Aa2iR7Xw5fkC+SzeJQWB+QDUK16NwbX5AWzvfT42bfkCAQWDl0MB+QEaNl24S0X5A2HoUrkfrfkBVukkMAv1+QDu28/3UCH9A6NJNYhAUf0BOObTIdhZ/QI5uEoPADn9AVuXQItsPf0Btvp8aL+l+QNvQItv5qH5AVeXQIttrfkAehxbZzil+QF68dJMY1n1AVhBYObSafUCGGARWDll9QA0v3SQGLX1Am/HSTWL4fEDNJAaBlbd8QNomMQislHxATrpJDAKNfEC2SzeJQZp8QABYObTImnxAYmiR7Xy5fEAzi2zn+9t8QPrWo3A9BH1AKrTIdr4pfUDVpZvEIFZ9QHbrUbgeh31AMjVeukmofUAuCtejcNN9QILtfD81EH5AUxBYObRefkA9N4lBYKd+QIMYBFYO435AJolBYOU0f0BAuB6F64F/QFAQWDm0zH9AmUW28/0LgECpne+nxi+AQPXUeOkmTIBAvCCwcmhXgEBGYhBYOWuAQI5Di2zneYBA26WbxCCHgEBEN4lBYI6AQH7rUbgelYBAyiLb+X6ggEA9i2zn+6yAQGS8dJMYuYBA7yhcj8L1gEAuXrpJDEKBQHY/NV66eYFAC4PAyqG0gUDop8ZLN/aBQFSPwvUoM4JANzVeuklxgkCLGARWDq+CQDPfT42X6YJAuMqhRbYng0CFl24SgzGDQMpNYhBYL4NAuvUoXI81g0CwHoXrUT+DQJgaL90kSYNAb76fGi9Tg0BeZmZmZluDQEM3iUFgYINAJt0kBoFlg0AArBxaZGSDQOrSTWIQXINANgrXo3BMg0AGLbKd7zKDQAqDwMqhFYNAUDm0yHb/gkDq0k1iEOSCQK3Idr6fx4JAEgRWDi2mgkD7KocW2Y+CQGO8dJMYeoJA9tR46SZpgkDLTWIQWEmCQPoqhxbZOYJAUDm0yHYwgkBODi2ynR2CQGk9CtejE4JARDeJQWAQgkBeZmZmZhaCQKzIdr6fE4JAAKwcWmQVgkBeZmZmZh+CQO4oXI/CPoJA41G4HoVTgkDXT42XbmOCQOImMQiscYJAcekmMQh/gkCqne+nxouCQNL5fmq8l4JASrgeheuhgkCLGARWDqqCQMki2/l+rYJA5nw/NV6ygkDnp8ZLN7mCQBIv3SQGu4JAtp8aL93FgkCFl24Sg8uCQFJkO99P0IJAFoXrUbjWgkBraJHtfOCCQMOhRbbz6YJArch2vp/3gkCxHoXrUQSDQNYkBoGVEoNAkG4Sg8Aqg0De0CLb+UaDQEDhehSuXoNAnXA9Ctdsg0Ao3SQGgWuDQOinxks3Z4NAqp3vp8Zrg0CySQwCK2yDQMF2vp8abINA/oCVQ4tfg0BqaJHtfEyDQE4OLbKdNYNAgUFg5dAlg0DjUbgehRiDQJtwPQrXF4NAvCCwcmgag0Buvp8aLxmDQG6+nxovGYNAjkOLbOcYg0C5yqFFtiuDQGXn+6nxQYNA10+Nl25Mg0CK7Xw/NVaDQJbvp8ZLYoNAeGq8dJNxg0BTZDvfT26DQIRs5/upaINA5FG4HoVig0BeZmZmZl2DQONRuB6FVINA8FPjpZs+g0BKuB6F6yuDQM546SYxIINADa5H4XoMg0AytMh2vu2CQHmVQ4ts34JACFg5tMjPgkB/FtnO97iCQPSp8dJNnoJAd2q8dJN7gkBODi2ynWKCQIRs5/upP4JAwna+nxoZgkDyfmq8dPmBQA/ZzvdT7YFAbZMYBFbhgUDG91PjpdmBQEq4HoXr3oFAyk1iEFjhgUBoPQrXo+WBQEM3iUFg74FAskkMAisDgkBqaJHtfBeCQKZH4XoUMIJAEy/dJAY5gkA2CtejcDKCQI0YBFYOLIJA/4CVQ4smgkDaehSuRyWCQNLO91PjJoJAm0W28/0dgkD/gJVDixmCQGbn+6nxEoJA6tJNYhDigUABrBxaZLGBQMtNYhBYi4FA1SQGgZVkgUCDbOf7qTiBQBEEVg4tDoFAoMZLN4nqgEC/SzeJQdCAQPFT46WbsYBAp0fhehSWgEDnfD81XpyAQFi6SQwCooBAHdv5fmqtgEBjke18P7SAQL8gsHJovIBAiJduEoPGgECl8dJNYs6AQKLGSzeJzIBALjMzMzPKgEC99Shcj76AQJbEILByroBAXRBYObSrgEBMuB6F66aAQCrdJAaBpIBAbWiR7XybgECOGARWDoyAQKLGSzeJeIBA7v3UeOlrgEBGN4lBYF6AQPR+arx0V4BACC2yne9fgEAvXrpJDFyAQMr3U+OlWoBAIjEIrBxUgEDW+X5qvFGAQGKR7Xw/UoBA39Ai2/lSgECuyHa+n1CAQHc/NV66SYBAahKDwMo8gEB+wMqhRSyAQPnUeOkmGoBA+/////8DgEDAdr6fGst/QNP5fmq8kH9ABQIrhxZnf0ALg8DKoTN/QOqnxks3+X5AJYcW2c7BfkAahetRuJ5+QLVJDAIrh35AvfUoXI9+fkATBFYOLYh+QGoSg8DKwX5A6nw/NV4Of0CbGi/dJFJ/QG5oke18sX9AWo/C9SgCgECrR+F6FCyAQDJeukkMVYBA2fl+arx4gEBDtvP91JGAQOX7qfHS2oBAyaFFtvMVgUDVo3A9Ck6BQHfpJjEIfoFA0U1iEFiugUBzkxgEVvOBQAJWDi2yPIJALd0kBoGDgkDnJjEIrLqCQIDAyqFF/IJA4aWbxCABg0A430+NlwqDQLLz/dR4AoNA36WbxCAHg0BgO99Pje+CQC4zMzMz0IJAQrbz/dSVgkACgZVDi26CQOHQItv5P4JAq3Joke0YgkCdRbbz/fiBQIrC9Shc0YFAaz0K16OmgUBIYhBYOXCBQCIxCKwcNoFAUQ4tsp3vgEBwkxgEVsmAQIZs5/upnYBABwIrhxaJgEAe2/l+ameAQNPO91PjSYBA6Hw/NV47gEB3PzVeujyAQODQItv5QoBASo2XbhJZgECM7Xw/NXSAQB7b+X5qh4BA2CQGgZWTgEBNuB6F65yAQE/jpZvEoIBARzeJQWCjgEB4PzVeupuAQOL7qfHSlIBAxHa+nxqWgECXxCCwcqGAQO/91HjpsoBAsvP91HjGgEDzU+Olm8qAQLZJDAIrv4BA/1UOLbK/gEAiMQisHMGAQIMW2c73yIBApvHSTWLGgEBykxgEVrqAQBcv3SQGoYBAxXa+nxp4gEC0HoXrUVSAQBqF61G4OIBAJVyPwvUzgEDK91PjpSuAQBhaZDvfL4BAaOf7qfEygEDlJjEIrEKAQLqfGi/dW4BAFARWDi2ZgECim8QgsN6AQHtqvHSTJYFASDeJQWBigUACgZVDi5mBQKBwPQrX1YFABtejcD0FgkBKYhBYOSWCQLLz/dR4Q4JA66fGSzdjgkA/i2zn+2mCQLZJDAIrcoJAQ+F6FK5ogkDh0CLb+WuCQNKjcD0Kd4JAvvUoXI97gkAIAiuHFoWCQNtPjZdunIJAmxov3SSogkB+wMqhRaWCQJ9wPQrXq4JA3qWbxCC8gkD1fmq8dNqCQK6d76fG74JAsvP91HjygkBTObTIdvGCQGA730+N24JAQ+F6FK7BgkBaukkMAqmCQM5NYhBYj4JA66fGSzd/gkBYj8L1KGeCQH2VQ4tsWYJAIQaBlUNbgkBc5dAi22qCQLLz/dR4g4JA1vl+arylgkCXxCCwcsiCQC8zMzMz7YJA1/l+arwgg0DNItv5fj6DQCmyne+nYINAlZmZmZlvg0Drp8ZLN3SDQABWDi2yeINAbT0K16N1g0BOuB6F63qDQLqfGi/dfINADFg5tMiHg0CLwvUoXIyDQGSR7Xw/mINAKt0kBoGjg0CCFtnO97aDQI4YBFYOzINAUQ4tsp3rg0Ctne+nxhCEQKGbxCCwJ4RAMF66SQw7hEDCSzeJQTWEQMJLN4lBLYRA4vup8dIhhECune+nxhmEQP4qhxbZC4RAnkW28/39g0CeRbbz/eODQBYv3SQGzYNA81PjpZuSg0BaukkMAl+DQAxYObTIPYNAup8aL90Sg0B6arx0k+SCQP4qhxbZvIJAWrpJDAKXgkCnHFpkO3CCQBywcmiRRoJA+/////8agkB+wMqhRSOCQN6lm8QgNoJAyMzMzMxKgkAIAiuHFmuCQK6d76fGjYJA5lG4HoWigkDepZvEIL6CQP4qhxbZ1YJADoPAyqHpgkDyKFyPwvqCQMIgsHJoAYNAcpMYBFYFg0CAwMqhRQaDQN56FK5HA4NAdekmMQgCg0CTbhKDwASDQF4QWDm0CYNAzSLb+X4Qg0CDFtnO9x2DQJNuEoPAKYNAOQrXo3Axg0CN7Xw/NSqDQJrvp8ZLKYNAgutRuB4qg0BjZmZmZiKDQE2Nl24SH4NA2iQGgZUeg0Cune+nxhyDQPIoXI/CG4NAaxKDwMoeg0B7arx0ky6DQGJmZmZmRYNAaef7qfFfg0BMjZduEn+DQGnn+6nxoINAPDVeuknEg0BE4XoUrtuDQM4i2/l++4NAtR6F61ERhEDeehSuRx6EQA6DwMqhKIRACi2yne8vhEBLjZduEiyEQAcCK4cWIYRAoZvEILAXhEC7yqFFtgWEQLqfGi/d/INA7dJNYhD5g0C4dJMYBOaDQHYUrkfhyYNA+/////+rg0C6nxov3Y+DQHK+nxovc4NAFQRWDi1Wg0DaJAaBlTuDQCQxCKwcJ4NAgutRuB4Sg0Cjm8QgsPWCQJ5FtvP97YJAunSTGATtgkCTQ4ts5+iCQJZuEoPA6IJA4aWbxCDygkBe5dAi2/KCQIdBYOXQ+oJAdukmMQgEg0B8arx0kwODQOClm8QgAoNAE9nO91P6gkDL91PjpfmCQJ5FtvP9/oJAEtnO91MQg0DGoUW28xmDQP9VDi2yHINAZ+f7qfEhg0AsCKwcWhiDQJWZmZmZGINAlZmZmZkQg0BrPQrXowWDQO791Hjp/YJA8lPjpZvrgkD41HjpJsWCQMoi2/l+m4JAL166SQyKgkAGAiuHFmeCQI9Di2znVoJATLgehes9gkArCKwcWiuCQKpyaJHtGIJAosZLN4kBgkDi+6nx0uuBQEY3iUFg2oFALjMzMzPVgUBaukkMAs+BQJFDi2zn14FA9n5qvHTVgUDTo3A9CsuBQLqfGi/dw4FAsMh2vp+9gUA7NV66Sb2BQFzl0CLbw4FA7tJNYhDIgUCJl24Sg9SBQI3tfD813IFAZJHtfD/hgUDh0CLb+e+BQDffT42XAIJA66fGSzcMgkC4dJMYBB2CQEpiEFg5IoJAtkkMAisjgkAKLbKd7yyCQIVBYOXQKIJA4vup8dIlgkC2SQwCKyCCQHYUrkfhHYJAk24Sg8AxgkAtCKwcWkmCQDFeukkMXoJAbmiR7Xx7gkBqEoPAyp2CQAKBlUOLzIJAl8QgsHL6gkA6CtejcCeDQOLQItv5UINARgwCK4dtg0ALLbKd74WDQA1YObTIm4NAWY/C9Si2g0BiO99PjdGDQDe0yHa+6INASjeJQWDug0AEgZVDiwSEQGi8dJMYIYRAQYts5/s8hEDeehSuR2CEQK5yaJHtfIRAxna+nxqXhEDfehSuR66EQAjXo3A9yoRAyszMzMzlhEDGdr6fGgOFQLTz/dR4CoVA0U1iEFgRhUAdhetRuCGFQFLjpZvEKIVA4qWbxCAvhUBIDAIrhzOFQM8i2/l+PIVAgcDKoUVOhUCVbhKDwGWFQFY5tMh2d4VAoXA9CteJhUA2tMh2vpSFQLdJDAIro4VAHrByaJG5hUASrkfhes2FQIDAyqFF64VAAVYOLbIQhkDmJjEIrCeGQGrn+6nxPYZAQ7bz/dRkhkDCILByaJKGQLPz/dR4xIZAoXA9CtfshkABVg4tshCHQD5g5dAiOodAxna+nxpZh0DGdr6fGnWHQDJeukkMlYdA49Ai2/mvh0A3tMh2vraHQKObxCCwsodAHrByaJGrh0BiO99PjaeHQJVuEoPAn4dAJDEIrByPh0DeehSuR4WHQOYmMQisf4dAqRxaZDtFh0ADgZVDiwCHQI7tfD81wYZA7afGSzeOhkDCILByaFiGQN1PjZduHYZAlW4Sg8DlhUCO7Xw/NbWFQOlRuB6Fh4VAVjm0yHZRhUBDtvP91EeFQLCd76fGR4VApsZLN4k+hUAKAiuHFiiFQOYmMQi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D+1V0AdZir0P6JrgE4YT/Q/wslXfvAc9D+hMEnhUSX0P1BZbuX8D/Q/+oV4oCUK9D/5Az8mKSv0P24dPfo2v/Q/0ScTM9KN9D9X8tLJKfz0P7PwFsQXaPU/IevK40BK9T96PE5NWUj1P+hxOdpIVPU/oYo8xYFS9T90TDcFCQz1P57Zz97w/fQ/fURtlw3t9D/l91cLw0L1P6SR8DmH7fY/RKadFpP59z+638I2uZr3P5/rHH95Q/g/Fxk+nm0w+D/2ERnSuLL3P5jEeh8exPc/0L9+BNXB9z/AYcNP81D3P5YTDjmNb/c/0UVk1IyH9z/rXHJY8cj3P9Y908dTkfc/bH4dtC6w9z8Z6tHQFpL3P8aQvVrFnfc/sB4YvL/89z9jM+ETwmX4P4IHJx4nh/g/IjhP8Y+5+D8QTI8iQt74PxoF4vHErvg/Xheffido+T+OXcOIVFP5PxzxhUUcLfk/5dbF6fsr+D/sxtwxTGj4PyANyNq2Kvg/KYPE8r4s+D8GNZ0Z1Pn3P6qgw/hALfg/sxIUu41I+D8mQG47RF74P1+CdC0xEfg/R1uL0oLg9z8QYIfty+L3PxnS168Y/vc/QBwa0oUh+D9IV998x/n3P+AVt43jEPg/cQM0zRjv+D+39jTjEaX4P605Nr7T7fg/MgiiquZC+T+RUZQHxkr5PxJzP2MDMvk/VLEnPbCs+D99tC7xJPL4P+KyACmODPk/6vUdf0ay+D9RjvjRTev3PzJ7zwRnufc/QqL/oT3n9z/kGSqC3M73P6SwgTCUnPc/EqQOz2tM9z8rbMKaI4v3P23/hi2Wgvc/yEHFFXAv9z+PThncL7/2P97Ft1T+1fY/NGT4LChs9j+kp4QE5Vb2P1j+OD6zRPc/DcRufEbC9j9NaE47VR73PzlEmH9N9vY/hPTQG0cM9z9YjeGOkGH3P2t/I173dvY/LWsDxuaC9j9C9uLaPC33P9Bpfkvs+fY/Kb3XX2IL9z/HjcOvRP/2PxLr9T3Wa/c/xQofYJmW9z9vMDxF+oz3P7B6KCDZO/c/KpVYaNNw9z8thD08Nwz3P/Q9i/SO8vY/pOlUSOXF9j/uvPWwA8b2P5dkhXEjBPc/fwP7/rlH9z8CxTB2rgf4P2yleKua//c/kFYdiBgO+D+qihHYiH/4P0YwdhGSZPg/Fh6cnmOf9z8cwpmuE7b3P5ywZUgBwfc/T/P2NunV9z+/NoMOpsD3P1yEyg7dS/g/MFKQ7tMQ+D9UtUXoUyb4PydxvifCZfg/X9/vZvkZ+D+L0HAZIzH4P+Wmbn1Eq/c/vomJHA5q9z/M3rqxjGz3P3s8lSLlRvc/Xwf8UTxN9z/MgyJNJDf3P52/N73zKvc/l8t0H+gH9z+InOzWmgz3P9RnNZRCv/c/RlpYpzKr9z++g81wa7H3P1+BFoKEh/c/7FO8Ac5x9z+r5mdaylj3P3ekKAcbffc/AflAYiNv9z/Ed5AOd9T3P177MLLMwfc/WftpE4/q9z8Fa8qFMrP3PzTgWl22PPg/DhSmX4oR+D+iXEj32/33P/kvPjyzA/g/NKF3mjQs+D9qoCfVphD4P9ljUN3Er/c/JQiFeIyR9z/IQMyVqWj3P5N4p3JCx/c/CyRWtnes9z/wSyv1lHv3P5t4NbC9dfc/WFYr9yg69z+RQX+F8pz3P/HRc+8HWvc/4hwG1wKZ9z9agbINAsn3P7Sndf9+D/c/5SjRdnIk9z8EAcPWkiz3P3UyyawEKfc/Noo9mDrm9j9yvJMzOv72P+Gym/2n+fY/lmlSD3PX9j8BttrIFwL3P/4Hr2KTivc/HRVWL2GC9z/Xl8Pz9J/3P/sYyo4v7/c/CYc1mv56+D8J1SR9/HP4PySMvRwYTvg/iAnBrzNT+D/7hAoT6CH4P7lETI7d0/c/RA/Tw3LZ9z8g+gyt8Lz3P/y0qFQr4fc/LRqJ1cFP+D+JpZ91L0X4P4Vy+RSiEfg/xyMPSc9C+D/nSfCL7cP4PzCsOUXp4Pg/ABKkV6UC+T+jaDwWfdP4P8TD0sVIxPg/ORy0XNio+D91+S0/EgT5P4jP9BccM/k/h3zuCbSJ+T9Kb9blNm/5P1E+WwzAlPk/yp5b7QOe+T9X4lgccKv5Px3dX0Kntfk/3JJzZ8gG+j/FE5hTpBD6P6v43XmEKPo/PAhYsC/n+T8G7Sx/YNz5P+crn+oyivg/sBWL5M0v+D+bDybKgEH4P3gdyH8jD/g/xdo2kTv69z8TWwcoicz3P4MP665omvc/hVjDZvzi9z/TsRA+EMD3P238Tx/91vc/KhaFfiI2+D+FWMNm/OL3Pxt9klx6m/c/9fNsd4sn9z9E9ZwVzar3P+LFiGWvnvc/FWg9naeh9z/Y5LaenfP3Pyjm5jzfdvg/3JS4r3+++D9uY3l4S1n4P4BcqB16cvg/LCO780AL+D9NYAACUsL3P26YLuX4yPc/faymDJin9z+cSPYpQ7z3Pzl47Ii/Dfg/jqXVscbA9z8xzM8uW9L3P0kK8tSfpPc/y6y/1LgP+D9cDtVDHS74PxTaUyEH/fc/e3vx9DPN9z/TtRCTWZX3P7mBHEPp4/c/4oWOzAzz9z/Hxp2Begv4P4IsJXoCOfg/cuejO3ER+D9ed9RHyYP4P4MnDk+YCPk/Np9Uqi1N+T9ZD3l6jqD5P1AoJbNj+/k/MVIJ/qAG+j+5Cdi9/vz5P6UHH/ls9fk/CgOwsMny+T9Wrzz3B6L6PyvUtDoit/o/J+6S5+Oy+j+R+WEzqXn6P4iV6xzsJfs/410P1X3Y+z9bMT0QQhj8PyAfDsFajfw/hvG0q3lm/D+Ac2Do+hb9P3oORpvMUPw/VscLmKkh/D88JQEZI+r8P9UwXTeOMP0/2aF7he5q/T8DMeoJNLD9P59oOBQnz/4/1yYv4bnP/j+6UUWg43v+Px6fqvG7wf4/7QbrrtX2/j+Nw3pSD6n/P0QOHmGpGgBAmX6Wou0EAECKohRoCDMAQPih37KbhQBAmPVvUiniAEBIMyN3aa8AQOZXjdRknv8/Hw3BINJH/j/i/dJR99n8P8rT0/aYIP4/BgETZy5I/T/qoCwrNr78P+Nf5X/b6/w/C+kmuvnZ/D8168KYv9X7P1JJ0ylaTPs/Fz3tecmS+j/MPzDQgA37P1taQzKvtvo/+s36HVXg+T99kJtq+Kn5P/IBt3fY1/k/adzRiGRb+j9VLR/SOj36P6vMuJxXBPo/yw2qACSi+j/1aw9ud576P5z4jg3pv/o/KWHKs9cK+j972gV2QQz6Pwxx0FFT2vk/O8l6Xcuz+T+EfV9PgPD4P2cKwZ1QF/k/EvH6vy89+T+muw8zQLH5P78u50Uy8/k/QT+TygKg+T9ztOpAxED5PzxIj6zqn/k/X4/Jrw2P+T80zuY+J/f5P8W+pP5oMvo/eDxtWhcx+j+S4E2E+zv7P0myTmL+hPs/LhOFY4Qq/D/FjDASyF/7P7jbNe67nPs/Ah5YW5/s+z9tuTrN8Fn7P08DRmRG8vs/Gujh0bS+/D/OvFyRhk39P/jXMuacUv0/QxTTUmfo/T9UxClAAjn/P4d/GO5KRf4/+R+gyIGR/j9zlMP0q/P+PzpuOPkbJ/8/FIq0Wk48/z+CwuBnSqX+P3KBa/GgNgBABpxF8gyXAEBDjHdKfmEAQECfaCF4eQBAwk3mIjVqAEAZ5M5P6DIAQMe6WBvaHQBAlli5GlAsAECGqthl5rz/P6FahC860/8/RDOPydDr/z9xUc2vXVcAQONnw2QhVwBAg6OEYw10AEAvTbFtyFwAQDjYO6ZlwQBAttN2FjQqAUDdB8BCXQEBQKN3ym1y9QBArBUNHEcJAUDyQAQf+ksBQFZ5ou56hgFA/+g7wuB3AUAsm9mxiL4BQPi+WOJ4uwFAvyWgjGgYAkB4IFLW5pwBQBu5DthMmwFAja/dQPiNAUCKws4X8qUBQIIbyej3+gFANO/Y0hqgAUDtYGTM1MEBQMEYMbaHugFAIHZGXk07AUCsT9mzXmkBQC9OHEN3RgFA5o8J++2IAUBeCq8nMaUBQEo71STvmQFAy8jz9YkfAkC6V4DLcB8CQOsPZ1pvtwFAS2aPLG1UAkAaefMwwYwCQKaIpsguNAJAxKZowZgQAkAHoOvXqkACQEv4eP1WzgFAFz9g+muVAUBIXQUNCmYBQFMWWNyMtgFAGZ3G0pSAAUAY2WgVCvQEQGdMWzgd5ARA92ZumkuNBUDQi618ozkFQAssGke5FwVAxjgZMcAhBUD2M4/Y+3AFQN2o6CRorwVAP19NeuxKBkA8QqAPowMHQG+J9o28jwZAPaSyPYcVB0DkdZegk8EGQFNlspQ5eQZAyoCGE6WgBkAPOyZnNUAGQIa+jhSeswZAuA8T6YugBkCDJfHOrl4GQIa64r7ijAZAZKfyUr6DBkCPB/UJrWoGQLC6qPJKdQZA6SCChgtcBUBpuJu81VYFQNyszCSCSgVAb6WpLniqBEAAd6t3UGIEQJyRE7Y30QNAI+fPR7G1A0Bm5tRe3B8EQDX7Dg6OawRAva4xeDA7BEDW0UP9xrADQC87lgeBbgRAbnhMbUHIBEBeOgSTvTsFQBtf0h1m5QRACW2QTv8vBUDIEhMq8RYFQBilwcNtCgVAwT/irawqBUDALgDj0m4FQEuA173OgwVAk/D6IloIBkDpvW5nGBQGQKdmTBcbMAZAkYhm9FzcBUCocazh27EGQPEwKv8TuQZAKzyl2fXIBkDKy9e7+HgGQHWhLxP+wgZA2iXnGh9jBkCaK8DNmyAGQB1FE35iugVA8CXKNFM3BkA5EqUTwkAGQN0ziGXsgQZALtGWySn3BkBjvY6OZCwHQPubjeuYcAZAb4XtfWOFBkCZGXMtE3sIQGegb2GW8whABzCiQ5mjCEAEfzVdCC8IQI36YdrwsQhA7mLXTHcUCED8e2afgKMIQMM1tFfYaQhAjwtEpcptCEC8fv7R8MMIQIW8W6+i/AhAzImzeGorCUAIfLt7OYkIQJ8LYCDBSghAO9PBUECQCECrSS3qTPcHQCZENuYuvwdAZsjuWCWuB0CxOxrd+sYHQMo7xJVskgdAFGotnAmdB0AKWb2TtBIHQKyBjbumtwZAc6vHTXJ3BkAg+pWeTokGQBBKP7GzuAZAi1wXTjdgBkBEY82Y5/gFQOravhfEtwVAKRU0/Xf0BUDL3Mix/wYGQFUYp5a37wVAiGxs67H5BUAkSVw8xqEGQERR7N0p6QZAROeBBM8JCEBtX4y9IRkIQA7HP6iVTghAvO2OAeNlB0AaOOwzcTcHQJHZpYKUZAdAS0PZ0Nf4BkCMioQrqkoIQDIFtyqTJgdAHuYXmvWuBkC64FiMxJAHQMquABsamwdAj64ebLtVB0A4GgzqZSAHQM2YzsMThgdARp5w63jYCUD5iyUhm/AIQFYpiWGRawhA511BD79nCUAH1yhgRZIJQEmheArDTApANX+Y+Rh4C0DIhOTZ79ULQMkOdv9iQgxAyc28kYMeDECz9y4aPNgJQCQsdnC6sQpAPghNh1jJC0BH7jV51CQLQPnb6q72PApAq0b7lG3sCUD93vLNQLEKQPA2uypaBQtAcbQvFSUtC0DKIMOf68cLQBf3aydUPAxAJ6oDlftpCkDS6FrwrOkKQCRtL96Z1QpA/9YRMWwvC0BRjsXgqDcKQOnGer70qwlAKQ+R7nWHC0CkH5Pgm1sMQFhgTiQmXQxAkOzQBBhLDUCnjD46A9gNQMhvkGTkYQ9AOFdTrRPMDUBDGWn9u/MNQPCfLTtSsg5AkmcdqUzmDkBBL59WGBkQQIZhgy+T3xBA9oiUEPPDEEDOevQw+/MQQBKrAl8YBxBAPR65iehMD0CgviTpKDwPQF8pjq2uoRBAc8HcmOVJEECK7hx0UCAQQNPo0f5OURBAJ3WI09foD0CCtlvmAowOQLbEUKKzQQ5Aw+Nh9dUKDkCDh8wJmPANQOgWHT08ew9AO0H+Rvn5DkBC+ruxfzYQQLUXNKEHbg9A04EP0hHwDkCKXxSxRu0OQBYbVmWdoQ1Ardktdrm4DUBMw1M87DUOQBFWxjMm9A1AdGRIwnypDUBcr0xs/DkOQJPZg71HrQ5AAZETYDcEEECotf7Qq1kQQIgZm88ZghBAsZIQXhsbEUCnRpJnMaERQJ9bkkpLFRFA2nnFmmT0EECy3lIV7QoRQPsuTy5gUhBAK+VfEgE3EEAbAb+NZ0AQQHT9Dz4BrQ5AxuNMWotvEEAAyeA6XFkPQH7EG6sqYg1AVi7AUB15DUDL8XaWtqYMQBeTarFxywpAEjTSZFxfC0AnxTN6y+MLQHQ4aLmw0QxAeOARHxzPDEAYrrzu8QUNQNNhM8p37A1AiKzjAhRmD0AK0A1SkgMQQMaZ1Np4Uw5ALcFXfl1JDkBvmuypGbUOQDu5VK+fQQ5AzrRyOaL+DECUIqe5Wd8NQCWmuR80/gxAkg/vQyJQDUCwngjsru8LQGMyyj2hOg1A9siUGbPoDEBxgMzghfMNQJGuBc8a4g1A8jL2N/7KDkCyAq+oHu8OQGLMyZ0vfA9AierjKuFMEEBreLBOYC0QQMTJM7h46xBADgvrT60xEEDlMMuw55EPQGkYqnQNGQ9A3wv/++kFD0DVF3W/oGsPQIHFTR8XGw5A1S9EYEJLDkCzPHtANo8OQGSbhyV7ig5Ae8sIgfL9DEBP/lpwnCoNQG8dT93y5wxAZYWOLzeuDUDlAgMaAjYNQKUpbu5FygxA1woG6b89DUDwz3g0a78NQARm8XREdA5AmT8SCNEQD0B/1mhLs+8OQELfSR16IQ5Abffe8YNpDkDbCWKyTksPQAWbpuHxww9AukEgqRv+DkAlFmTd1eEPQGJGriREVBBAdclu7+V5EECCgynciN0PQEMdjGEZBhBAakl94ssfEECvOT14uCgQQFQZ/IZUXBBAl4eCokQ2EEBsUgcCLx4QQC5vRICecRBA2GAXzgCiEEADHeMTfYkQQBA89Gaf4hBAUu50cHvtEEBJniGlpPIQQHZLqGniqBBAVKVjVyUcEUCd02J5IiMRQEi7B3GwwhBAqGsjJ95cEEDPf0UH70YQQEqU807QYRBAx1+QfVurEECgS26dSsEQQGtcNVgDrxBAI2ProrOnEEBcF7QZcocQQFOuba3W0Q9AgT4Opgi4D0DlYR5V9E8PQD9SwQQVvQ5AN95OCSUfD0AQGvK2b0EPQN1VQIgBfg9AdsuKuGsPEECxedEuETUQQGFWpJlZARBALVscfP7HD0DbhoIAto8PQFGXvVOeTA9AnO5t4Rb/DkC4ZiO+sGgOQByohA5XWg5AW5I0Zq9KDkAOgr9GLzYOQKz5IoiQpg5AAwUPuiG5DUBqvJWhAa8NQNybAD+6aw1AToYECPbyDEBRp13I+kAMQMg/VJb4VgxAHxS1sH6GDECQ3SZY87YMQIntDxCjeg1AMnv6hMNlDUBcCJNeq1cOQBjSAjB16g1Aj4uLHzpXDUArwm5UfgwNQHMvUTn9UwxAo7eZhrhMDEBrl1cqf1ELQCbDEovv/gpAo3l8Ulh3C0Ca0+H4DHYLQFisXepSUQtAgLgnH+1NC0CGNKY3DuoLQDDAugHRgQxAVi87m8BiDEDlTfpSqhIMQIvJlydC2AtAtf4SyFdwDEBPPyRTcEYMQF6Cz+aj2gxAC9VJjTvzDEClFVsYVMkMQM5Ct261vAxASmfcq8EpDUBTLgkn1CENQOLIf1ih9gxA8maJpbNBDUAU5rmVkH0NQBNqAhytWA1AICoJYDVkDECME9u0hGoMQLi0ltlSVQxAAf06R09fDUBl5ROJdK0NQLFwDq7r5Q1A3Nf9OqIQDkCfRWscHNoNQEILhd+4ug1AbqxABIelDUAQtH4KsnMNQDIK/o4TFA1Auv7ZZpXnDED4TkhCjTANQCZ0E4y1bQ1A9blWUllCDUCV2Zxa6JgNQGubXjmtCQ5A9FVueRcdDkDF/i5DTk0OQFodtZl1dA5AXQRCwmIiD0Ahkwhk4VkPQIP30YCsVQ9AeWHnfU6vD0DilDXBotAPQJ63LaHtxg9AHcRK3JWrD0B4vEU3LWYPQOUIlY8PyA9A5QiVjw/ID0C3TthVs5wPQCDuZh3AEA9AeDDeZlzmDkC1od5jGyYPQL78ylp1yw9AibPgTdB9EEDKFDH0oWIQQODYcctgcxBAukwLZmWyEEDQEEw9JMMQQDoGIpOlDRFAJ/hkzeHhEEBTDE5MMIMRQNIgwzJPlRFA3YCN81CSEUB6PVb4TI0RQEM80BJ9pRFALZ3NskCiEUDKOASWdaYRQHo5qqKRdhFAFHYP2O41EUCW6VVs5YwRQGdEJ1MeFBFAD4JMOuMCEUCKImJSlR0RQDZ13PgsNhFADi9GLHt5EUB6PVb4TI0RQOCdOl6a6RFAtAehVq3BEUBdIIjG76IRQBE7RL2PlBFAK6Ttea21EUBW1bzEB9cRQEsFBiqS4BFAeSPknfLZEUCKy+LfFr0RQPnc+soypRFA1J/uHeQGEkAZPD3QuQwSQC3vm9yeIRJA4XzbLXjyEUDn48slBAwSQMval00vQhJAAwtRn5MvEkAt75vcniESQEJAr1ndGxJASDgeTaQlEkCuZLgb8ysSQJ4LFJJ7OxJAqfvxeAlPEkCDMRMmO0cSQNQswcNjcBJA4gmu0/dbEkDlY2hWZYASQEg2SKJGYhJAUyYmidR1EkCOsJldpocSQC3r74bjmhJAEALj+ibuEkB5ewHXxCMTQFKC7xdiRhNAIsgy3gUrE0Bah5SAR0UTQLmOYpqYLxNAEEBb6PlkE0AUWsfSNk8TQKfqD64v0xJA9gtnmIljEkAgXV0v/KESQNP9jVfPmhJAc2ntl/5GEkAaGkDZQywSQBUA1O4GQhJAVESsHF+9EkDQwy8TSoESQMZA/YUjuhJAifit9N+lEkD/198w1qkTQFzwyHbD+BNAc5A2rK7lE0DPO3SYNOgTQBJaNSbJJRRAf6ubqRVIFEAoGsqnzC8UQJtDeNLHPhRAP+lqSUzyE0Cup3wmAGEUQJOA96xwPRRALWGTU0AsFEC9Avda1RQUQGOEFjCGJBRAKrh+GCYVFECb1PbNAi8UQDZoDmeD7hNA6OZBmOAGFEALZJzdX98TQGF5tmXF8hNA9lSto6/iE0BsqgMtGI0TQKgyoVaMaxNAYfGwXZU8E0BEfDwBCEATQO/gPKnqdhNAMAQVYunEE0CmzU2om+wTQNmOvlb9QhRA6qnq8qGcFECaGRIEg4wUQLYsdDIsdxRAudqfmLAOFUAhwtSjZDoVQHRwxdJ7KxVAVs2I3wiTFEB0JKya26UUQNOWT2M2qRRAtKF3NwqxFEACWzrzZnUUQGRrkiwbXhRAfwnxVeYOFEC4yiijhVwUQAbuVTg9kBRAVBwc+XeOFEAT0FlzO4wUQKM8++MgYRRAtU/P1E5dFED1OX8sp00UQCQRIjIPORRAj8cUxQ5TFEB1lmH1qn4UQNPEQzHcWRRALdaHLfFDFEAIfQCKRX8UQIo+NgE6/xRAbPDVxowTFUAFFtcw90wVQIuIeY58sRNAG78H5wexE0BNSlhTDd4TQCvYXdhO1xNArBqbVVOVE0CcIAHbdYITQBnkq0DU8RNAEhhomlcJFEC4cnNNKAgUQIUG31eM7hNAHizgwfYnFEDgDlGoTvsTQOv6gjkh2BRAZ9T5Ezy5FEDgKPbzTR4VQOLJ6+SzUBVA3ujgvN9MFEARNOOQtL8UQMUABqUP4RRAt83RBgevFEBJhpnZjs0UQMzMSUuMyRRAhuGg4AkhFUDmrw048kQVQBi246nu9RVAnX7NlegQFkAd4MaJVuIVQIMX+oMo4xVAoUUzcr3xFUC8kIuNIGkVQJAtSFYllRVAvK7cLtuyFUCnkRNJm04VQIN/jrIl3xRAb1+ETNkdFUDwG9z5JZYVQBGO1nTknBVAbhcXavT+FUAw3DavkYgVQG+ckWT9ehVAAi8az/O9FEBwKc7uHGAVQCQLfyMNhBVAQblUQgN3FUDQtRYDd3YVQIigUVfK+BRAkwGH7XrfFECP4C0tdrEUQFACgtZPZRRAyVuV4ctKFEB/Mq3qOEQUQGPYv737PxRACVl0vf2lFEDB0IG30OEUQBCbJj4HAhVAGLxGnUkHFUDF7wTNd2wUQB46m2DIJhRA/knaXwavE0AZDAwrpVMTQBJ0EhwnwRJAz+BNibSpEkBlKIVLV4wSQD1o1E5dBRRAJKTM2GC9E0AKpxJZ/M4UQI8OVezAoRRAMmXtqpjyFEDLIIQ7qCwVQBQY+EWaIBVA/zIlTRRJFUAIShdWgu0UQMgWj0aW9BRA/uH06QnzFEDFpAUjhzAVQDYTGREdKhVAvsrn0HrgFUA1/LRFKvQVQDbz8cQEnRVAazhymMDVFUC+Oz+AncMVQEOavpI8PxVApSQx/DhCFUDhqY2loAMVQLxm//c4+xRA9TtakL4xFUAzenvLLdUUQLEpnQNcOBRA7d+dmM9vFEAVJF66I1kUQLWso8Ze5RRAWw8HJabBFEDga7CM5+kUQHsAM/sWkxRAzlQwRv7WFEABH2R1hfQUQJg4mj+AghRA0LzEdPtiFED29o+hPRQUQIJeYHJ9VRRAYo1b6CQRFEDQTUNwNtMTQJzKSq+n0xNAe1UPtNyPE0AjwmcHNqQTQJBXZU6zphNAIu3EVBarE0Cs7WvMBwoUQBemNAplxxRAydokrn/9FEB4rJdOBxgVQA0rWii1/RRALionSfONFUCNE6TBia4VQJZI52uyjBVAfW9R1SCSFUBKpoh7SH4VQAl8w+yBfBVArLi2X1paFUBBqxFpNwAWQM3Xqsyw1xVAQM55NVyqFUBTMn6JlOwVQFi7a3iWBhZAKTX51TghFkB8ptzsKzUWQA7/LttqHBZAmsFdZYmUGEA5qa2AXj4ZQDXGzK0s1xhAMqBcwr3YGEBf/R35nwIZQIh0vdxDCBlALTEUH7sxGUAGHfI+qkcZQMg4xOdqMRlAw8y8xHRHGUAMTOxJfBQZQEmtdVEQIhlAPhW1o1QoGUD54WX1KlgZQDaA/BTjghlA9bJr6liLGUBdsQTB/5wZQIKftrWhiBlAxzWDZ150GUBUgkMX8DgZQACahlDBpxhATgIZqRNWGEB9Tr+zWdsXQC7D/e+k6xdAqE6F58FjF0Cjoi8sm58XQHcFIF2ImxdAVzqd00jxF0C9uxNbXXQXQKUl1HtGqBdARlb8Tq/6F0BbNOJxbQ4ZQMjB6jcvtBhAuSYiaylmGEAUp9hA1lkYQACgCFHaIRhAkvubvyXGF0B9rjSYoqIXQMGhNa6bmBdAVgDROzGRF0BhuLg1BXgXQIqss8n9dBdArHG0UiSlF0AxiM897nIXQKcNDpa0aRdA9ARJP+SUF0D+cBcBGOYXQAZaQXOg/hdAgiZJd9rxF0CjC3FMGd8XQEgEatEFvBdA8EAk4xvRF0CwuL8aarsXQKKniHPXiRdAtL2d5BHzF0APxDmKdtwXQJL4nFvrIhhAD8YPNdRPGEBBPqgrom0YQJxERNEGVxhAeyA5OUZpGEAFXBce/nEYQDx5GPoqcBhAGlZ4Nxm8GEAEYMNzuVgZQMaXEBPXCBlAUhXa2VrWGED5jTYu5j4YQAfd5cJLNxhANFJ2ms+QGEDZiVLiPW4YQDn33n8ucRhAVjRd7wHRF0CVGmHxnsoXQKGqyfPjNhhARiJPjfUfGEAkPSe4tjIYQGYnnq5MKhhACd1AfL4IGEDsuz0DSN8XQJf8aglX8hdAL0gVwPLyF0AnnWM7PaEXQGmmlqg8fBdAIVaaj8mkF0DpmqffKnwXQHa/6JcthhdAkLxR0JK0F0CVSesUUPUWQHBazkr//xZAf4eA6O7nFkDVVPQsrfMWQIujULsEFBdANqyH1FmaFkBNcWW7CHwWQOmm3RqeJxZAC2Zco6t9FkBEjVJ06tMWQGzWKcGozRZAydDBZdvSFkAAf0E9Q0EXQLb6+ozRYxdAIZizqYCkF0AD1ro/pKgXQI4kUZqTIBhA6In3TpL3F0A5o/aNdfoXQKG/4AXXZRdAChTBavJdF0DbruDpWy8XQCYGkXfUARdAcuFQKqdGF0Cf7HYo0HAXQLzs539/MxdAQTBXcXAyF0C4KpnOFAMXQKi0DnmR0hZAl6eDJ7qHFkASapY24tIVQIHOtC9mBBZAcf3LIAQ9FkBYp9rZHSsWQINt1HVuIxZAam6VkqvhFUAHB4v10xgWQMWw03qFLhZAjaWM2w9wFUAGIZ3dAZYVQBCnEOs0yhVAWSerReugFUCB+hO4HKcVQNYvVYyapxVAkQPzszhbFUD41C7JqCoVQJWOtk2YKBVAItFIp1XsFECxfxuFyyIVQIHBsvWzUBVA+NYEdAY+FUAA+Y+o90wVQDR7HZTXQhVAf13KHHIrFUCjajiIffoUQDbbWRdeQRVA2oVjuUxFFUCLvNBPfQsVQIf1anOomhRAFjeS97YUFUAgBAgSIA4VQC/OOfTtLxVA4Fabex95FUDgGCOOTLIVQKu8Pu+dsxVAK8ycqlKlFUB1YFpQ77QVQHS++YnamBVA1MedTolGFUDJnIj6NGkVQFyBQrlEUBVAzgN58sCCFUDe9IhNO5cVQIbyX5zPqxVAIkJ9R2SqFUBcRDWhIMMVQA7NlihSDBZAg1NAVsc8FkBfaTq34BcWQDAWp9bSThZAzshBhfpoFkC7VMY7lwQXQBl//CENCRdAfQ5NVbGzFkB4iQu8avAWQGP0/VBANRdAajwy0mJrF0DFQWOiGBsXQInbwm8arRZAnJD3Jl2FFkChNPU2DSwWQKoa3iiJlxVA3fKyot0jFUDfk6iTQwYVQENCtT1RlBRANgm9gl0KFUCsPct3GdsUQAZnz+miHhVAger+NUlJFUBQIMsGwusUQAOWO7f5nBdAYVYHxBSCF0B+V+Pwcs4XQP63cQ8yhhdApkbHWQH7F0DHoV0JzWsYQGUihMtTcxhAnd05GNqWGECuaig5UP0XQH1j5/GkIhhAjN0dnePZF0C2UBErzPgXQPqbL3qXaBdAUn+ctJnAF0DAuDOXRNMWQCcW13yF4hZA8Z7ivCiXFUCAumD0BaoWQL/FAuBRoxZAeDPig1AeFkAwIV5YsA0WQCBR4B79TxZApAlTFcwIF0A71C4nGkQXQHD2Ri6xYhhADqu3hzbwGECR/AAlt6YYQAVbZLxf1RdAI1vVEw+oF0DoWYiPAckXQDDJQB/egxdA2KQad/wHF0DDqyQzkPcWQC5k7XDt9BZALwe5DLFKF0A+ulB6WJgXQKnRI8dPsxdAfn/CWi47F0DC63LLwDEXQAbk7TbfABdAX21njbE7F0DA9m4h/zQXQOPuTmx1URdABk3tOovGF0CvncqXh/QXQPnf7ARr9BdAIul1ufjzF0BbTuR3CqEXQGRjANYa0hZA58wYFD0IF0AZmLcYc08XQE2uBICaohdAc5KIHmgtF0BDRXc+cx4XQC7qNWtgkxZAEtP9HQPuFkDgB18ZzaYWQPuI13aMhxZA7rzMMdIXFkDPWkmsPhMWQIVTXqwhHRVAnPPL4QzaFEC1tf2sq54UQJFXX96VKRRAe9TXdLa8EkD1yclFLiQTQMP69fneiRNAihS5ln83E0D2L//Xb1ATQPJuG/yziRNA41+6/367E0CGQrqOJ0wTQFdIr7yaZhNAwdFEjmPOE0Ca9oNwu9oTQLUlYZXBmxNA4Bi48kgmE0Csl5XcF1oTQDne04uQxBNAZLrGHSW5E0BTn5qBgB8UQHIhRVMsQRRAWxWXmYjhE0Dgx4ePPrATQCUrdX+rHxRAiidxDLdGFECwX2aOm2QUQDtfojDeORRAEuYsotzgE0CqUf6kkK4TQGSi93yDORNAzPbX4Z4xE0BJ4TCHk94SQOa2MwLgohJASKDTiYrYEkA5RVlVtQQTQH7EwTt/ehJAJxHzQsABEkAdGiiGasoRQHKj2j3/nRFAoPoZdMitEUA6W1JL+bARQKmbr4VllxFAjTnzng/qEUADreRWTdsRQO/DZQgM3RFA63EDMRWmEUBOHjowxbARQHNDdzxy3xFAWS4/Y2vBEUChSBs6gv8RQGpLQapt3hFATpM9NaP6EUCChiLQpRMSQIzNshpXRxJAsaOVbldDEkCN5YG7+FYSQH0exwJrcBJAIFu6dUP+EkDktwwrIRMTQI+i8qK7zxJATX1EP1+OEkCECjL1/8URQCB2ypbxyhFAc0N3PHLfEUCTTd2IM/oRQHoxuNlk2BFAAtONo37yEUDgJVy7+RESQBLddku5TRJAPRpKl0XTE0DLkZFdsNYTQCloVmAP+BNAEgK1wjtLFEAn/BXcVlUUQI4NoIn3/hNAmB2lvJ0PFEDOyySUBf4TQAqHoX/J+BNAncN4d6vZE0AL1CWNGIgTQBE8gVpTKxNA+m62YzE8E0AnHhPTzCUTQLl5pkEYGhNAx6tvCnJCE0BhyK3zthQTQNzZgJ3VARNAwXDX4LfgEkDWcpClSegSQBkkptl22RJAYvixF0QjE0BAG+Lte/MSQEhv4Q4O5RJA1NTbNPACE0DiIEpJSf4SQDv/n1jhRRNAQwRFwcZEE0CXygSRf2UTQMQqB0huXBNAQiZCuDwlE0B1z+PF/NsSQMZoRtR+6hJA2e5HHy3tEkA/HbiY2bYSQDNtKEp83RJAk3BKDhJBE0AHetHs9DITQIEKcA98WxNAZECo64YuE0AWUFoYH+cSQIdVbgIJ6xJA4WOu4SkBE0ClZaLdKC8TQFfPR+7wFBNAKjv7nwNIE0BaZg+JgjYTQIS+8vW8eBNAkdPV8gpBE0BpqboctgoTQCI0gIzANRNAzsRyICsVE0D/A6pUkNwSQHaQ1YIexxJA2UKOgue7EkDQDUvYvp0SQI/nMZ+z4hJANu1gmb5UE0BcXX5Cnt4TQPacJPgHaxRAXr+QcIJQFECRgWz0kmAUQEH+AtxUnhRAfIwiBuK2FEDwU4WhNqsUQGEH/lJnjxRAC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   "source": [
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   "source": [
    "## Optimization\n",
    "\n",
    "We hard-coded the two lag parameters (`n1` and `n2`) into our strategy above. However, the strategy may work better with 15–30 or some other cross-over. **We declared the parameters as optimizable by making them [class variables](https://docs.python.org/3/tutorial/classes.html#class-and-instance-variables)**.\n",
    "\n",
    "We optimize the two parameters by calling\n",
    "[`Backtest.optimize()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.optimize)\n",
    "method with each parameter a keyword argument pointing to its pool of possible values to test. Parameter `n1` is tested for values in range between 5 and 30 and parameter `n2` for values between 10 and 70, respectively. Some combinations of values of the two parameters are invalid, i.e. `n1` should not be _larger than_ or equal to `n2`. We limit admissible parameter combinations with an _ad hoc_ constraint function, which takes in the parameters and returns `True` (i.e. admissible) whenever `n1` is less than `n2`. Additionally, we search for such parameter combination that maximizes return over the observed period. We could instead choose to optimize any other key from the returned `stats` series."
   ]
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   "execution_count": 7,
   "metadata": {},
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     "output_type": "stream",
     "text": [
      "\r",
      "CPU times: user 156 ms, sys: 52 ms, total: 208 ms\n",
      "Wall time: 1.55 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Start                     2004-08-19 00:00:00\n",
       "End                       2013-03-01 00:00:00\n",
       "Duration                   3116 days 00:00:00\n",
       "Exposure Time [%]                       98.14\n",
       "Equity Final [$]                    105040.13\n",
       "Equity Peak [$]                     108327.72\n",
       "Return [%]                             950.40\n",
       "Buy & Hold Return [%]                  703.46\n",
       "Max. Drawdown [%]                      -44.00\n",
       "Avg. Drawdown [%]                       -6.14\n",
       "Max. Drawdown Duration      690 days 00:00:00\n",
       "Avg. Drawdown Duration       43 days 00:00:00\n",
       "# Trades                                  152\n",
       "Win Rate [%]                            51.32\n",
       "Best Trade [%]                          61.56\n",
       "Worst Trade [%]                        -19.78\n",
       "Avg. Trade [%]                           1.52\n",
       "Max. Trade Duration          83 days 00:00:00\n",
       "Avg. Trade Duration          21 days 00:00:00\n",
       "Profit Factor                            1.96\n",
       "Expectancy [%]                           6.00\n",
       "SQN                                      1.51\n",
       "Sharpe Ratio                             0.15\n",
       "Sortino Ratio                            0.39\n",
       "Calmar Ratio                             0.03\n",
       "_strategy                 SmaCross(n1=10,n...\n",
       "_equity_curve                           Eq...\n",
       "_trades                        Size  Entry...\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "stats = bt.optimize(n1=range(5, 30, 5),\n",
    "                    n2=range(10, 70, 5),\n",
    "                    maximize='Equity Final [$]',\n",
    "                    constraint=lambda param: param.n1 < param.n2)\n",
    "stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can look into `stats['_strategy']` to access the Strategy _instance_ and its optimal parameter values (10 and 15)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Strategy SmaCross(n1=10,n2=15)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats._strategy"
   ]
  },
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       "    \n",
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       "  var render_items = [{\"docid\":\"dbedc8d6-403b-416f-848d-54320ed5aea2\",\"root_ids\":[\"1990\"],\"roots\":{\"1990\":\"f9453a2e-ecd4-48b8-9f15-156eb6945f46\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1990"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bt.plot(plot_volume=False, plot_pl=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Strategy optimization managed to up its initial performance _on in-sample data_ by almost 50% and even beat simple\n",
    "[buy & hold](https://en.wikipedia.org/wiki/Buy_and_hold).\n",
    "In real life optimization, however, do **take steps to avoid\n",
    "[overfitting](https://en.wikipedia.org/wiki/Overfitting)**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trade data\n",
    "\n",
    "In addition to backtest statistics returned by\n",
    "[`Backtest.run()`](https://kernc.github.io/backtesting.py/doc/backtesting/backtesting.html#backtesting.backtesting.Backtest.run)\n",
    "shown above, you can look into _individual trade returns_ and the changing _equity curve_ and _drawdown_ by inspecting the last few, internal keys in the result series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sortino Ratio                                                 0.39\n",
       "Calmar Ratio                                                  0.03\n",
       "_strategy                                    SmaCross(n1=10,n2=15)\n",
       "_equity_curve                  Equity  DrawdownPct DrawdownDura...\n",
       "_trades               Size  EntryBar  ExitBar  EntryPrice  Exit...\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The columns should be self-explanatory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "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>Equity</th>\n",
       "      <th>DrawdownPct</th>\n",
       "      <th>DrawdownDuration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2004-08-19</th>\n",
       "      <td>10000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-20</th>\n",
       "      <td>10000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-23</th>\n",
       "      <td>10000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-24</th>\n",
       "      <td>10000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004-08-25</th>\n",
       "      <td>10000.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-25</th>\n",
       "      <td>103035.53</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-26</th>\n",
       "      <td>102952.33</td>\n",
       "      <td>0.05</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-27</th>\n",
       "      <td>104206.83</td>\n",
       "      <td>0.04</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-28</th>\n",
       "      <td>104391.43</td>\n",
       "      <td>0.04</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-01</th>\n",
       "      <td>105040.13</td>\n",
       "      <td>0.03</td>\n",
       "      <td>533 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2148 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Equity  DrawdownPct DrawdownDuration\n",
       "2004-08-19  10000.00         0.00              NaT\n",
       "2004-08-20  10000.00         0.00              NaT\n",
       "2004-08-23  10000.00         0.00              NaT\n",
       "2004-08-24  10000.00         0.00              NaT\n",
       "2004-08-25  10000.00         0.00              NaT\n",
       "...              ...          ...              ...\n",
       "2013-02-25 103035.53         0.05              NaT\n",
       "2013-02-26 102952.33         0.05              NaT\n",
       "2013-02-27 104206.83         0.04              NaT\n",
       "2013-02-28 104391.43         0.04              NaT\n",
       "2013-03-01 105040.13         0.03         533 days\n",
       "\n",
       "[2148 rows x 3 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['_equity_curve']  # Contains equity/drawdown curves. DrawdownDuration is only defined at ends of DD periods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "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>Size</th>\n",
       "      <th>EntryBar</th>\n",
       "      <th>ExitBar</th>\n",
       "      <th>EntryPrice</th>\n",
       "      <th>ExitPrice</th>\n",
       "      <th>PnL</th>\n",
       "      <th>ReturnPct</th>\n",
       "      <th>EntryTime</th>\n",
       "      <th>ExitTime</th>\n",
       "      <th>Duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>87</td>\n",
       "      <td>20</td>\n",
       "      <td>60</td>\n",
       "      <td>114.65</td>\n",
       "      <td>185.23</td>\n",
       "      <td>6140.56</td>\n",
       "      <td>0.62</td>\n",
       "      <td>2004-09-17</td>\n",
       "      <td>2004-11-12</td>\n",
       "      <td>56 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-87</td>\n",
       "      <td>60</td>\n",
       "      <td>69</td>\n",
       "      <td>184.86</td>\n",
       "      <td>175.80</td>\n",
       "      <td>788.18</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2004-11-12</td>\n",
       "      <td>2004-11-26</td>\n",
       "      <td>14 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>96</td>\n",
       "      <td>69</td>\n",
       "      <td>71</td>\n",
       "      <td>176.15</td>\n",
       "      <td>180.71</td>\n",
       "      <td>437.61</td>\n",
       "      <td>0.03</td>\n",
       "      <td>2004-11-26</td>\n",
       "      <td>2004-11-30</td>\n",
       "      <td>4 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-96</td>\n",
       "      <td>71</td>\n",
       "      <td>75</td>\n",
       "      <td>180.35</td>\n",
       "      <td>179.13</td>\n",
       "      <td>116.98</td>\n",
       "      <td>0.01</td>\n",
       "      <td>2004-11-30</td>\n",
       "      <td>2004-12-06</td>\n",
       "      <td>6 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>97</td>\n",
       "      <td>75</td>\n",
       "      <td>82</td>\n",
       "      <td>179.49</td>\n",
       "      <td>177.99</td>\n",
       "      <td>-145.33</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>2004-12-06</td>\n",
       "      <td>2004-12-15</td>\n",
       "      <td>9 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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>147</th>\n",
       "      <td>-121</td>\n",
       "      <td>2056</td>\n",
       "      <td>2085</td>\n",
       "      <td>738.65</td>\n",
       "      <td>687.78</td>\n",
       "      <td>6155.24</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2012-10-16</td>\n",
       "      <td>2012-11-29</td>\n",
       "      <td>44 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>139</td>\n",
       "      <td>2085</td>\n",
       "      <td>2111</td>\n",
       "      <td>689.16</td>\n",
       "      <td>735.54</td>\n",
       "      <td>6447.44</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2012-11-29</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>40 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>-139</td>\n",
       "      <td>2111</td>\n",
       "      <td>2113</td>\n",
       "      <td>734.07</td>\n",
       "      <td>742.83</td>\n",
       "      <td>-1217.79</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>2013-01-10</td>\n",
       "      <td>2 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>136</td>\n",
       "      <td>2113</td>\n",
       "      <td>2121</td>\n",
       "      <td>744.32</td>\n",
       "      <td>735.99</td>\n",
       "      <td>-1132.29</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>2013-01-10</td>\n",
       "      <td>2013-01-23</td>\n",
       "      <td>13 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>-136</td>\n",
       "      <td>2121</td>\n",
       "      <td>2127</td>\n",
       "      <td>734.52</td>\n",
       "      <td>750.51</td>\n",
       "      <td>-2174.91</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>2013-01-23</td>\n",
       "      <td>2013-01-31</td>\n",
       "      <td>8 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Size  EntryBar  ExitBar  EntryPrice  ExitPrice      PnL  ReturnPct  \\\n",
       "0      87        20       60      114.65     185.23  6140.56       0.62   \n",
       "1     -87        60       69      184.86     175.80   788.18       0.05   \n",
       "2      96        69       71      176.15     180.71   437.61       0.03   \n",
       "3     -96        71       75      180.35     179.13   116.98       0.01   \n",
       "4      97        75       82      179.49     177.99  -145.33      -0.01   \n",
       "..    ...       ...      ...         ...        ...      ...        ...   \n",
       "147  -121      2056     2085      738.65     687.78  6155.24       0.07   \n",
       "148   139      2085     2111      689.16     735.54  6447.44       0.07   \n",
       "149  -139      2111     2113      734.07     742.83 -1217.79      -0.01   \n",
       "150   136      2113     2121      744.32     735.99 -1132.29      -0.01   \n",
       "151  -136      2121     2127      734.52     750.51 -2174.91      -0.02   \n",
       "\n",
       "     EntryTime   ExitTime Duration  \n",
       "0   2004-09-17 2004-11-12  56 days  \n",
       "1   2004-11-12 2004-11-26  14 days  \n",
       "2   2004-11-26 2004-11-30   4 days  \n",
       "3   2004-11-30 2004-12-06   6 days  \n",
       "4   2004-12-06 2004-12-15   9 days  \n",
       "..         ...        ...      ...  \n",
       "147 2012-10-16 2012-11-29  44 days  \n",
       "148 2012-11-29 2013-01-08  40 days  \n",
       "149 2013-01-08 2013-01-10   2 days  \n",
       "150 2013-01-10 2013-01-23  13 days  \n",
       "151 2013-01-23 2013-01-31   8 days  \n",
       "\n",
       "[152 rows x 10 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats['_trades']  # Contains individual trade data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Learn more by exploring further\n",
    "[examples](https://kernc.github.io/backtesting.py/doc/backtesting/index.html#tutorials)\n",
    "or find more framework options in the\n",
    "[full API reference](https://kernc.github.io/backtesting.py/doc/backtesting/index.html#header-submodules)."
   ]
  }
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