Update notebook with new statistics example

freqtrade/templates/strategy_analysis_example.ipynb

@@ -136,10 +136,51 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from freqtrade.data.btanalysis import load_backtest_data\n",
+    "from freqtrade.data.btanalysis import load_backtest_data, load_backtest_stats\n",
     "\n",
-    "# Load backtest results\n",
-    "trades = load_backtest_data(config[\"user_data_dir\"] / \"backtest_results/backtest-result.json\")\n",
+    "# if backtest_dir points to a directory, it'll automatically load the last backtest file.\n",
+    "backtest_dir = config[\"user_data_dir\"] / \"backtest_results\"\n",
+    "# backtest_dir can also point to a specific file \n",
+    "# backtest_dir = config[\"user_data_dir\"] / \"backtest_results/backtest-result-2020-07-01_20-04-22.json\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You can get the full backtest statistics by using the following command.\n",
+    "# This contains all information used to generate the backtest result.\n",
+    "stats = load_backtest_stats(backtest_dir)\n",
+    "\n",
+    "strategy = 'SampleStrategy'\n",
+    "# All statistics are available per strategy, so if `--strategy-list` was used during backtest, this will be reflected here as well.\n",
+    "# Example usages:\n",
+    "print(stats['strategy'][strategy]['results_per_pair'])\n",
+    "# Get pairlist used for this backtest\n",
+    "print(stats['strategy'][strategy]['pairlist'])\n",
+    "# Get market change (average change of all pairs from start to end of the backtest period)\n",
+    "print(stats['strategy'][strategy]['market_change'])\n",
+    "# Maximum drawdown ()\n",
+    "print(stats['strategy'][strategy]['max_drawdown'])\n",
+    "# Maximum drawdown start and end\n",
+    "print(stats['strategy'][strategy]['drawdown_start'])\n",
+    "print(stats['strategy'][strategy]['drawdown_end'])\n",
+    "\n",
+    "\n",
+    "# Get strategy comparison (only relevant if multiple strategies were compared)\n",
+    "print(stats['strategy_comparison'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load backtested trades as dataframe\n",
+    "trades = load_backtest_data(backtest_dir)\n",
     "\n",
     "# Show value-counts per pair\n",
     "trades.groupby(\"pair\")[\"sell_reason\"].value_counts()"