diff --git a/pages/strategy_performance/app.py b/pages/strategy_performance/app.py
index a74f73e..eff2af6 100644
--- a/pages/strategy_performance/app.py
+++ b/pages/strategy_performance/app.py
@@ -390,10 +390,10 @@ if selected_db is not None:
                                     st.plotly_chart(intraday_performance(page_data_filtered.trade_fill), use_container_width=True)
                                     st.plotly_chart(returns_histogram(page_data_filtered.trade_fill), use_container_width=True)
                                 with table_tab:
-                                    st.dataframe(page_data_filtered.trade_fill[["timestamp", "realized_pnl"]].dropna(subset="realized_pnl"),
+                                    st.dataframe(page_data_filtered.trade_fill[["timestamp", "gross_pnl", "trade_fee", "realized_pnl"]].dropna(subset="realized_pnl"),
                                                  use_container_width=True,
                                                  hide_index=True,
-                                                 height=candles_chart.layout.height - 180)
+                                                 height=(min(len(page_data_filtered.trade_fill) * 39, candles_chart.layout.height - 180)))
                         else:
                             st.plotly_chart(candles_graph(candles_df, page_data_filtered), use_container_width=True)
                     else:
diff --git a/utils/database_manager.py b/utils/database_manager.py
index 4570bf9..18f003f 100644
--- a/utils/database_manager.py
+++ b/utils/database_manager.py
@@ -158,6 +158,8 @@ class DatabaseManager:
             trade_fills["realized_trade_pnl"] = trade_fills["unrealized_trade_pnl"] + trade_fills["inventory_cost"]
             trade_fills["net_realized_pnl"] = trade_fills["realized_trade_pnl"] - trade_fills["cum_fees_in_quote"]
             trade_fills["realized_pnl"] = trade_fills["net_realized_pnl"].diff()
+            trade_fills["gross_pnl"] = trade_fills["realized_trade_pnl"].diff()
+            trade_fills["trade_fee"] = trade_fills["cum_fees_in_quote"].diff()
             trade_fills["timestamp"] = pd.to_datetime(trade_fills["timestamp"], unit="ms")
             trade_fills["market"] = trade_fills["market"].apply(lambda x: x.lower().replace("_papertrade", ""))
             trade_fills["quote_volume"] = trade_fills["price"] * trade_fills["amount"]