Add documentation sample for parallel_trade_analysis

user_data/notebooks/strategy_analysis_example.ipynb

@@ -68,9 +68,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Load strategy using values set above\n",
@@ -169,6 +167,31 @@
     "trades.groupby(\"pair\")[\"sell_reason\"].value_counts()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Analyze the loaded trades for trade parallelism\n",
+    "This can be useful to find the best `max_open_trades` parameter, when used with backtesting in conjunction with `--disable-max-market-positions`.\n",
+    "\n",
+    "`parallel_trade_analysis()` returns a timeseries dataframe with an \"open_trades\" column, specifying the number of open trades for each candle."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from freqtrade.data.btanalysis import parallel_trade_analysis\n",
+    "\n",
+    "# Analyze the above\n",
+    "parallel_trades = parallel_trade_analysis(trades, '5m')\n",
+    "\n",
+    "\n",
+    "parallel_trades.plot()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},