prototype of avg monthly ROI for pearl traders

app.py

@@ -27,6 +27,7 @@ from tabs.trader_plots import (
     plot_total_bet_amount,
     plot_active_traders,
     plot_rolling_average,
+    plot_avg_monthly_ROI,
 )
 from tabs.daily_graphs import (
     get_current_week_data,
@@ -263,6 +264,14 @@ with demo:
     gr.Markdown("This app shows the weekly performance of the traders in Olas Predict.")
 
     with gr.Tabs():
+        with gr.TabItem("📊 Monthly metrics"):
+            with gr.Row():
+                gr.Markdown("# Monthly average ROI of Pearl traders")
+            with gr.Row():
+                avrg_monthly_roi = plot_avg_monthly_ROI(
+                    traders_data, market_creator="pearl"
+                )
+
         with gr.TabItem("🔥 Weekly metrics"):
             with gr.Row():
                 gr.Markdown("# Weekly metrics of all traders")

tabs/trader_plots.py

@@ -84,6 +84,53 @@ def get_interpretation_text() -> gr.Markdown:
     return gr.Markdown(interpretation_text)
 
 
+def plot_avg_monthly_ROI(traders_df: pd.DataFrame, market_creator: str) -> gr.Plot:
+    """Plots the average monthly ROI."""
+
+    filtered_traders_df = traders_df.copy()
+    if market_creator != "all":  # filter by market creator
+        filtered_traders_df = filtered_traders_df[
+            traders_df["market_creator"] == market_creator
+        ]
+
+    # Create the column month_year from the creation_date
+    filtered_traders_df["month_year"] = filtered_traders_df["creation_date"].apply(
+        lambda x: x.strftime("%Y-%m")
+    )
+    # Compute the average monthly ROI per trader
+
+    monthly_avg_roi_traders = (
+        filtered_traders_df.groupby(["month_year", "trader_address"])["roi"]
+        .mean()
+        .reset_index(name="avg_roi")
+    )
+
+    # Plot the mean value per month in monthly_avg_roi_traders
+    total_monthly_avg_roi = (
+        monthly_avg_roi_traders.groupby("month_year")["avg_roi"]
+        .mean()
+        .reset_index(name="avg_roi")
+    )
+
+    fig = px.line(
+        total_monthly_avg_roi,
+        x="month_year",
+        y="avg_roi",
+    )
+
+    fig.update_layout(
+        xaxis_title="Month-Year",
+        yaxis_title="Average monthly ROI (net profit/cost)",
+    )
+    fig.update_xaxes(
+        tickvals=total_monthly_avg_roi["month_year"].tolist(),  # Set x-axis tick values
+        tickformat="%Y-%m",
+    )
+    return gr.Plot(
+        value=fig,
+    )
+
+
 def plot_trader_metrics_by_market_creator(
     metric_name: str, traders_df: pd.DataFrame
 ) -> gr.Plot: