diff --git a/MarketDataLib/Generator/CMMomentum/CMCandidate.cs b/MarketDataLib/Generator/CMMomentum/CMCandidate.cs
index 54c0f4b..26304cf 100644
--- a/MarketDataLib/Generator/CMMomentum/CMCandidate.cs
+++ b/MarketDataLib/Generator/CMMomentum/CMCandidate.cs
@@ -1,8 +1,5 @@
 using System;
 using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
 
 namespace MarketData.Generator.CMMomentum
 {
diff --git a/MarketDataLib/Generator/CMMomentum/CMCandidateGenerator.cs b/MarketDataLib/Generator/CMMomentum/CMCandidateGenerator.cs
index 824d84c..57bf8d7 100644
--- a/MarketDataLib/Generator/CMMomentum/CMCandidateGenerator.cs
+++ b/MarketDataLib/Generator/CMMomentum/CMCandidateGenerator.cs
@@ -6,8 +6,6 @@ using MarketData.Utils;
 using System;
 using System.Collections.Generic;
 using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
 
 namespace MarketData.Generator.CMMomentum
 {
diff --git a/MarketDataLib/Generator/CMMomentum/CMMomentumGenerator.cs b/MarketDataLib/Generator/CMMomentum/CMMomentumGenerator.cs
index 48c3cfc..5a6008a 100644
--- a/MarketDataLib/Generator/CMMomentum/CMMomentumGenerator.cs
+++ b/MarketDataLib/Generator/CMMomentum/CMMomentumGenerator.cs
@@ -129,13 +129,13 @@ namespace MarketData.Generator.CMMomentum
 				dataProcessor.Height=128;
 				dataProcessor.PenWidth=1;
 				TestCase testCase=new TestCase(cmCandidate.Symbol,cmCandidate.TradeDate,cmParams.UseCNNDayCount,TestCase.CaseType.Test,TestCase.GenerateType.BollingerBand,TestCase.OutputType.OutputStream);
-				dataProcessor.ProcessData(testCase);
-				String prediction = cnnClient.Predict(CNNClient.Model.resnet50,testCase.LastStream);
+        dataProcessor.ProcessData(testCase);
+//				String prediction = cnnClient.Predict(CNNClient.Model.resnet50,testCase.LastStream);
+				String prediction = cnnClient.Predict(CNNClient.Model.resnet50_20241024_270,testCase.LastStream);
 			  prediction=prediction.Substring(prediction.IndexOf("-->"));
 				int result=int.Parse(Utility.BetweenString(prediction,"[[","]"));
 				if(1==result)
 				{
-//				  MDTrace.WriteLine(LogLevel.DEBUG,String.Format("PredictCandidate: Found positive convolutional model match for {0} on {1}.  Score {2} -> {3}",cmCandidate.Symbol,cmCandidate.TradeDate.ToShortDateString(),cmCandidate.Score,cmCandidate.Score*(1.00+cmParams.UseCNNRewardPercentDecimal)));
 				  cmCandidate.Score*=(1.00+cmParams.UseCNNRewardPercentDecimal);   // increase the score by the percentage indicated in the params settings
 					cmCandidate.CNNPrediction=true;
 			  }