new tab with active traders

app.py

@@ -11,13 +11,13 @@ from scripts.metrics import (
 )
 from tabs.trader_plots import (
     plot_trader_metrics_by_market_creator,
-    plot_trader_daily_metrics_by_market_creator,
     default_trader_metric,
     trader_metric_choices,
     get_metrics_text,
     plot_winning_metric_per_trader,
     get_interpretation_text,
     plot_total_bet_amount,
+    plot_active_traders,
 )
 from tabs.daily_graphs import (
     get_current_week_data,
@@ -393,6 +393,27 @@ with demo:
                 inputs=[no_trader_live_details_selector, no_trader_live_details_plot],
                 outputs=[no_trader_live_details_plot],
             )
+        with gr.TabItem("⚙️ Active traders"):
+            with gr.Row():
+                gr.Markdown("# Active traders for all markets by trader categories")
+            with gr.Row():
+                active_traders_plot = plot_active_traders(traders_data, unknown_traders)
+
+            with gr.Row():
+                gr.Markdown("# Active traders for Pearl markets by trader categories")
+            with gr.Row():
+                active_traders_plot = plot_active_traders(
+                    traders_data, unknown_traders, market_creator="pearl"
+                )
+
+            with gr.Row():
+                gr.Markdown(
+                    "# Active traders for Quickstart markets by trader categories"
+                )
+            with gr.Row():
+                active_traders_plot = plot_active_traders(
+                    traders_data, unknown_traders, market_creator="quickstart"
+                )
 
         with gr.TabItem("📉 Markets Kullback–Leibler divergence"):
             with gr.Row():

tabs/market_plots.py

@@ -231,9 +231,6 @@ def plot_nr_trades_per_trader_per_market(
         width=1000,  # Adjusted for better fit on laptop screens
         height=600,  # Adjusted for better fit on laptop screens
     )
-    # for axis in fig.layout:
-    #     if axis.startswith("xaxis"):
-    #         fig.layout[axis].update(title="Week")
     fig.update_xaxes(tickformat="%b %d\n%Y")
     return gr.Plot(
         value=fig,

tabs/trader_plots.py

@@ -268,3 +268,68 @@ def plot_total_bet_amount(
     return gr.Plot(
         value=fig,
     )
+
+
+def plot_active_traders(
+    traders_data: pd.DataFrame,
+    unknown_traders: pd.DataFrame,
+    market_creator: str = None,
+):
+    """Function to plot the volume of active traders for the different categories and markets"""
+    traders_data["trader_type"] = traders_data["staking"].apply(
+        lambda x: "non_Olas" if x == "non_Olas" else "Olas"
+    )
+    filtered_traders_data = traders_data
+    if len(unknown_traders) > 0:
+        # merge
+        unknown_traders["trader_type"] = "unknown"
+        filtered_traders_data = pd.concat([traders_data, unknown_traders], axis=0)
+
+    if market_creator is not None:
+        filtered_traders_data = filtered_traders_data.loc[
+            filtered_traders_data["market_creator"] == market_creator
+        ]
+    active_traders = (
+        filtered_traders_data.groupby(by=["month_year_week", "trader_type"])[
+            "trader_address"
+        ]
+        .nunique()
+        .reset_index(name="nr_traders")
+    )
+    # Convert string dates to datetime and sort them
+    all_dates_dt = sorted(
+        [
+            datetime.strptime(date, "%b-%d")
+            for date in active_traders["month_year_week"].unique()
+        ]
+    )
+    # Convert back to string format
+    all_dates = [date.strftime("%b-%d") for date in all_dates_dt]
+    color_mapping = [
+        "royalblue",
+        "goldenrod",
+        "gray",
+    ]
+    fig = px.bar(
+        active_traders,
+        x="month_year_week",
+        y="nr_traders",
+        color="trader_type",
+        color_discrete_sequence=color_mapping,
+        category_orders={
+            "trader_type": ["Olas", "non_Olas", "unknown"],
+        },
+        barmode="group",
+    )
+    fig.update_layout(
+        xaxis_title="Week",
+        yaxis_title="Weekly active traders per trader type",
+        legend=dict(yanchor="top", y=0.5),
+    )
+
+    fig.update_xaxes(tickformat="%b %d")
+    # Update layout to force x-axis category order (hotfix for a sorting issue)
+    fig.update_layout(xaxis={"categoryorder": "array", "categoryarray": all_dates})
+    return gr.Plot(
+        value=fig,
+    )