Jupyter notebook snippet: Plotting daily profit / equity line

freqtrade/templates/strategy_analysis_example.ipynb

@@ -188,6 +188,47 @@
     "trades.groupby(\"pair\")[\"sell_reason\"].value_counts()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting daily profit / equity line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plotting equity line (starting with 0 on day 1 and adding daily profit for each backtested day)\n",
+    "\n",
+    "from freqtrade.configuration import Configuration\n",
+    "from freqtrade.data.btanalysis import load_backtest_data, load_backtest_stats\n",
+    "import plotly.express as px\n",
+    "import pandas as pd\n",
+    "\n",
+    "# strategy = 'SampleStrategy'\n",
+    "# config = Configuration.from_files([\"user_data/config.json\"])\n",
+    "# backtest_dir = config[\"user_data_dir\"] / \"backtest_results\"\n",
+    "\n",
+    "stats = load_backtest_stats(backtest_dir)\n",
+    "strategy_stats = stats['strategy'][strategy]\n",
+    "\n",
+    "equity = 0\n",
+    "equity_daily = []\n",
+    "for dp in strategy_stats['daily_profit']:\n",
+    "    equity_daily.append(equity)\n",
+    "    equity += float(dp)\n",
+    "\n",
+    "dates = pd.date_range(strategy_stats['backtest_start'], strategy_stats['backtest_end'])\n",
+    "\n",
+    "df = pd.DataFrame({'dates':dates,'equity_daily':equity_daily})\n",
+    "\n",
+    "fig = px.line(df, x=\"dates\", y=\"equity_daily\")\n",
+    "fig.show()\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -329,7 +370,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.5"
   },
   "mimetype": "text/x-python",
   "name": "python",