diff --git a/src/pages/backtesting/backtesting_page.py b/src/pages/backtesting/backtesting_page.py
index be32a30..801f862 100644
--- a/src/pages/backtesting/backtesting_page.py
+++ b/src/pages/backtesting/backtesting_page.py
@@ -461,6 +461,20 @@ def run_multi_ticker_backtest(tickers: list, start_date: datetime, end_date: dat
     """Run backtest across multiple tickers and aggregate results"""
     all_results = []
     
+    # Convert indicator settings to the correct format
+    processed_settings = {}
+    for ind_name, ind_config in indicator_settings.items():
+        if isinstance(ind_config['params'], dict):
+            # If params is a dictionary of parameter values (non-optimization mode)
+            processed_settings[ind_name] = {
+                'type': ind_config['type'],
+                'params': {k: float(v) if isinstance(v, (int, float)) else v 
+                          for k, v in ind_config['params'].items()}
+            }
+        else:
+            # If params is a dictionary of parameter ranges (optimization mode)
+            processed_settings[ind_name] = ind_config
+    
     for ticker in tickers:
         try:
             print(f"\nTesting strategy on {ticker}")
@@ -485,7 +499,7 @@ def run_multi_ticker_backtest(tickers: list, start_date: datetime, end_date: dat
             
             # Run backtest
             try:
-                DynamicStrategy.indicator_configs = indicator_settings
+                DynamicStrategy.indicator_configs = processed_settings
                 bt = Backtest(df, DynamicStrategy, cash=100000, commission=.002)
                 stats = bt.run()
                 
@@ -515,6 +529,7 @@ def run_multi_ticker_backtest(tickers: list, start_date: datetime, end_date: dat
                 
             except Exception as e:
                 print(f"Error during backtest for {ticker}: {str(e)}")
+                print(f"Current indicator settings: {processed_settings}")
                 continue
             
         except Exception as e:
@@ -527,6 +542,7 @@ def run_multi_ticker_backtest(tickers: list, start_date: datetime, end_date: dat
         print("2. Is there data available for the selected date range?")
         print("3. Are the indicator settings valid?")
         print("4. Are there any errors in the strategy logic?")
+        print(f"Last used indicator settings: {processed_settings}")
         raise ValueError("No valid results were generated from any ticker")
         
     return pd.DataFrame(all_results)