Update Investment Performance table columns

- Added Sell Price column showing average sell price when positions were sold
- Removed Current Price, Quantity, and Current Value columns for cleaner view
- Streamlined table to focus on key trading metrics: Symbol, Status, IPO/Buy/Sell prices, Investment amount, and P&L

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -351,7 +351,7 @@ def refresh_investment_performance_table():
     positions = get_current_positions()
     
     # Create proper empty DataFrame with correct column names
-    columns = ['Symbol', 'Status', 'IPO Price', 'Buy Price', 'Current Price', 'Quantity', 'Investment', 'Current Value', 'P&L ($)', 'P&L (%)']
+    columns = ['Symbol', 'Status', 'IPO Price', 'Buy Price', 'Sell Price', 'Investment', 'P&L ($)', 'P&L (%)']
     
     logger.info(f"Found {len(orders)} total orders for performance analysis")
     
@@ -401,8 +401,16 @@ def refresh_investment_performance_table():
                 # Get IPO price if available
                 ipo_price = ipo_price_lookup.get(symbol, 0)
                 
+                # Calculate sell price (average of all sells)
+                if sell_orders:
+                    avg_sell_price = sum(float(o.filled_qty or 0) * float(o.filled_avg_price or 0) for o in sell_orders) / sum(float(o.filled_qty or 0) for o in sell_orders)
+                else:
+                    avg_sell_price = 0
+                
+                current_qty = total_bought - total_sold
+                
                 if current_qty > 0:
-                    # Still holding
+                    # Still holding - use current position for P&L
                     status = "🟦 HOLDING"
                     pos = next((p for p in positions if p['symbol'] == symbol), None)
                     if pos:
@@ -412,16 +420,13 @@ def refresh_investment_performance_table():
                         pl_dollars = current_value - investment
                         pl_percent = (pl_dollars / investment * 100) if investment > 0 else 0
                     else:
-                        current_price = 0
-                        current_value = 0
+                        # No current position data
                         investment = current_qty * avg_buy_price
                         pl_dollars = 0
                         pl_percent = 0
                 else:
-                    # Sold all
+                    # Sold all - calculate realized P&L
                     status = "🟨 SOLD"
-                    current_price = 0
-                    current_value = 0
                     investment = total_cost
                     sold_value = sum(float(o.filled_qty or 0) * float(o.filled_avg_price or 0) for o in sell_orders)
                     pl_dollars = sold_value - investment
@@ -435,10 +440,8 @@ def refresh_investment_performance_table():
                     'Status': status,
                     'IPO Price': f"${ipo_price:.2f}" if ipo_price > 0 else 'N/A',
                     'Buy Price': f"${avg_buy_price:.2f}",
-                    'Current Price': f"${current_price:.2f}" if current_price > 0 else "N/A",
-                    'Quantity': f"{current_qty:.0f}",
+                    'Sell Price': f"${avg_sell_price:.2f}" if avg_sell_price > 0 else 'N/A',
                     'Investment': f"${investment:.2f}",
-                    'Current Value': f"${current_value:.2f}" if current_value > 0 else "N/A",
                     'P&L ($)': f"${pl_dollars:+.2f}",
                     'P&L (%)': f"{pl_percent:+.2f}%"
                 })