diff --git a/src/main.py b/src/main.py
index 1c3f9f2..ee6768a 100644
--- a/src/main.py
+++ b/src/main.py
@@ -20,7 +20,8 @@ def get_scanner_parameters():
     min_price = get_float_input("Enter minimum stock price ($): ")
     max_price = get_float_input("Enter maximum stock price ($): ")
     min_volume = int(input("Enter minimum volume: "))
-    return min_price, max_price, min_volume
+    portfolio_size = get_float_input("Enter portfolio size ($) or 0 to skip position sizing: ")
+    return min_price, max_price, min_volume, portfolio_size
 
 def main():
     print("\nStock Analysis System")
@@ -82,9 +83,9 @@ def main():
         print("✅ Scores saved in data/metrics/stock_scores.csv\n")
 
     elif choice == "2":
-        min_price, max_price, min_volume = get_scanner_parameters()
+        min_price, max_price, min_volume, portfolio_size = get_scanner_parameters()
         from screener.t_sunnyband import run_sunny_scanner
-        run_sunny_scanner(min_price, max_price, min_volume)
+        run_sunny_scanner(min_price, max_price, min_volume, portfolio_size)
         
     elif choice == "3":
         from trading.main import main as trading_main
diff --git a/src/screener/t_sunnyband.py b/src/screener/t_sunnyband.py
index 4ceba69..cdbc5ff 100644
--- a/src/screener/t_sunnyband.py
+++ b/src/screener/t_sunnyband.py
@@ -2,6 +2,7 @@ from datetime import datetime, timedelta
 import pandas as pd
 from db.db_connection import create_client
 from indicators.sunny_bands import SunnyBands
+from trading.position_calculator import PositionCalculator
 
 def get_interval_choice() -> str:
     """Get user's preferred time interval"""
@@ -268,7 +269,7 @@ def view_stock_details(ticker: str, interval: str, start_date: datetime, end_dat
     except Exception as e:
         print(f"Error analyzing {ticker}: {str(e)}")
 
-def run_sunny_scanner(min_price: float, max_price: float, min_volume: int) -> None:
+def run_sunny_scanner(min_price: float, max_price: float, min_volume: int, portfolio_size: float = None) -> None:
     """Run the SunnyBand scanner and save results"""
     print(f"\nInitializing scan for stocks between ${min_price:.2f} and ${max_price:.2f}")
     print(f"Minimum volume: {min_volume:,}")
@@ -301,8 +302,11 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int) -> No
     bearish_signals = []
     errors = []
     
-    # Initialize SunnyBands indicator
+    # Initialize SunnyBands indicator and position calculator
     sunny = SunnyBands()
+    calculator = None
+    if portfolio_size and portfolio_size > 0:
+        calculator = PositionCalculator(account_size=portfolio_size)
     
     # Track progress
     total = len(tickers)
@@ -337,8 +341,28 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int) -> No
                     'volume': last_day['volume'],
                     'date': last_day['date'],
                     'dma': results['dma'].iloc[-1],
-                    'lower_band': results['lower_band'].iloc[-1]
+                    'lower_band': results['lower_band'].iloc[-1],
+                    'upper_band': results['upper_band'].iloc[-1]
                 }
+                
+                # Add position sizing if calculator exists
+                if calculator:
+                    try:
+                        position = calculator.calculate_position_size(
+                            entry_price=last_day['close'],
+                            target_price=results['upper_band'].iloc[-1]
+                        )
+                        signal_data.update({
+                            'shares': position['shares'],
+                            'position_value': position['position_value'],
+                            'stop_loss': position['stop_loss'],
+                            'potential_profit': position['potential_profit'],
+                            'potential_loss': position['potential_loss'],
+                            'risk_reward_ratio': position['risk_reward_ratio']
+                        })
+                    except ValueError as e:
+                        print(f"Position sizing error for {ticker}: {str(e)}")
+                
                 bullish_signals.append(signal_data)
                 print(f"🟢 Bullish Signal: {ticker} at ${last_day['close']:.2f}")
             
@@ -383,6 +407,16 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int) -> No
             print(f"Volume: {signal['volume']:,}")
             print(f"DMA: ${signal['dma']:.2f}")
             print(f"Lower Band: ${signal['lower_band']:.2f}")
+            print(f"Upper Band: ${signal['upper_band']:.2f}")
+            
+            if 'shares' in signal:
+                print("\nPosition Details:")
+                print(f"Shares: {signal['shares']}")
+                print(f"Position Value: ${signal['position_value']:.2f}")
+                print(f"Stop Loss: ${signal['stop_loss']:.2f}")
+                print(f"Potential Profit: ${signal['potential_profit']:.2f}")
+                print(f"Potential Loss: ${signal['potential_loss']:.2f}")
+                print(f"Risk/Reward Ratio: {signal['risk_reward_ratio']:.2f}")
     
     if bearish_signals:
         print(f"\n🔴 Found {len(bearish_signals)} Bearish Signals:")