(feat) add visualizations for backtesting

frontend/visualization/executors.py

@@ -0,0 +1,23 @@
+import plotly.graph_objects as go
+import pandas as pd
+from decimal import Decimal
+
+
+def add_executors_trace(fig, executors, row, col):
+    for executor in executors:
+        entry_time = pd.to_datetime(executor.timestamp, unit='ms')
+        entry_price = executor.custom_info["current_position_average_price"]
+        exit_time = pd.to_datetime(executor.close_timestamp, unit='ms')
+        exit_price = executor.custom_info["close_price"]
+
+        if executor.filled_amount_quote == 0:
+            fig.add_trace(go.Scatter(x=[entry_time, exit_time], y=[entry_price, exit_price], mode='lines',
+                                     line=dict(color='blue', width=2, dash="dash"), name='Buy Entry/Exit'), row=row, col=col)
+        else:
+            if executor.net_pnl_quote > Decimal(0):
+                fig.add_trace(go.Scatter(x=[entry_time, exit_time], y=[entry_price, exit_price], mode='lines',
+                                         line=dict(color='green', width=2), name='Buy Entry/Exit'), row=row, col=col)
+            else:
+                fig.add_trace(go.Scatter(x=[entry_time, exit_time], y=[entry_price, exit_price], mode='lines',
+                                         line=dict(color='red', width=2), name='Sell Entry/Exit'), row=row, col=col)
+    return fig