diff --git a/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh b/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh
index 877bcae..d94f6f3 100644
--- a/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh
+++ b/MQL5/Experts/MultiAgentTest/Core/Orchestrator.mqh
@@ -171,6 +171,7 @@ private:
     double m_riskPerTrade;
     double m_riskTotal;
     string m_symbol;
+    string m_runTimestamp;
 
     // --- History cache ---
     BarSnapshot history[MAX_HISTORY];
@@ -299,8 +300,12 @@ public:
          m_nnHidden = nnHidden;
          m_riskPerTrade = riskPerTrade;
          m_riskTotal = riskTotal;
-        m_symbol = _Symbol;
-        m_neuralNet = NULL;
+         m_symbol = _Symbol;
+         datetime rn = TimeLocal();
+         m_runTimestamp = StringFormat("%04d%02d%02d_%02d%02d%02d",
+            TimeYear(rn), TimeMonth(rn), TimeDay(rn),
+            TimeHour(rn), TimeMinute(rn), TimeSeconds(rn));
+         m_neuralNet = NULL;
        m_trainBuffer = NULL;
 
        if(m_useNeural || m_trainMode) {
@@ -673,7 +678,7 @@ UpdateCorrelation(i, openTrades[idx].entryZScores[i], actualReturnZ);
            if(m_trainBuffer.Count() % 50 == 0 && m_trainBuffer.Count() >= 20) {
               if(m_useNeural) {
                  TrainNN();
-                 string nnFn = (m_modelFilename != "") ? m_modelFilename : "TR_Agent_NN_v1.dat";
+                  string nnFn = (m_modelFilename != "") ? m_modelFilename : "TR_Agent_NN_v1_" + m_runTimestamp + ".dat";
                  m_neuralNet.Save(nnFn);
                  Print("  NN auto-saved to ", nnFn, " after ", m_trainBuffer.Count(), " samples");
              }
@@ -1157,17 +1162,17 @@ UpdateHealth(actualReturn);
         Print("  ", m_neuralNet.LossHistorySummary());
 
         // CSV dump per debug
-        m_trainBuffer.SaveCsv("NN_TrainingSamples_" + Symbol() + "_" + EnumToString(Period()) + ".csv");
-        m_neuralNet.SaveLossCsv("NN_LossHistory_" + Symbol() + "_" + EnumToString(Period()) + ".csv");
+        m_trainBuffer.SaveCsv("NN_TrainingSamples_" + Symbol() + "_" + EnumToString(Period()) + "_" + m_runTimestamp + ".csv");
+        m_neuralNet.SaveLossCsv("NN_LossHistory_" + Symbol() + "_" + EnumToString(Period()) + "_" + m_runTimestamp + ".csv");
 
         return loss;
      }
 
     bool SaveNNModel() {
        if(m_neuralNet == NULL || !m_neuralNet.IsInitialized()) return false;
-       string fn = (m_modelFilename != "") ? m_modelFilename 
-                  : "TR_Agent_NN_" + Symbol() + "_" + EnumToString(Period()) + ".dat";
-       bool ok = m_neuralNet.Save(fn);
+        string fn = (m_modelFilename != "") ? m_modelFilename 
+                   : "TR_Agent_NN_" + Symbol() + "_" + EnumToString(Period()) + "_" + m_runTimestamp + ".dat";
+        bool ok = m_neuralNet.Save(fn);
        if(ok) Print("NN model saved: ", fn);
        else   Print("NN model save FAILED: ", fn);
        return ok;
@@ -1201,7 +1206,7 @@ UpdateHealth(actualReturn);
 
     // Salva summary CSV con learning stats di ogni agente
     void SaveAgentLearningCsv() const {
-       string fn = "AgentLearning_" + Symbol() + "_" + EnumToString(Period()) + ".csv";
+       string fn = "AgentLearning_" + Symbol() + "_" + EnumToString(Period()) + "_" + m_runTimestamp + ".csv";
        int fh = FileOpen(fn, FILE_TXT|FILE_WRITE|FILE_COMMON);
        if(fh == INVALID_HANDLE) return;
        FileWriteString(fh, "agent,bias,bias_n,rho_learn,rho_learn_n,weight\n");
@@ -1221,7 +1226,7 @@ UpdateHealth(actualReturn);
 
     // --- Serializzazione ---
     string ModelFilename(string symbol, ENUM_TIMEFRAMES tf) const {
-      return "MultiAgentTest_" + symbol + "_" + EnumToString(tf) + ".model";
+      return "MultiAgentTest_" + symbol + "_" + EnumToString(tf) + "_" + m_runTimestamp + ".model";
    }
    
     void SaveState(string symbol, ENUM_TIMEFRAMES tf) const {
@@ -1368,7 +1373,7 @@ UpdateHealth(actualReturn);
 
      // Salva CSV con TUTTI i parametri derivati per analisi periodica
      void SaveAnalysisCSV(string symbol, ENUM_TIMEFRAMES tf) const {
-        string fn = "TR_Agent_Analysis_" + symbol + "_" + EnumToString(tf) + ".csv";
+         string fn = "TR_Agent_Analysis_" + symbol + "_" + EnumToString(tf) + "_" + m_runTimestamp + ".csv";
         int fh = FileOpen(fn, FILE_TXT|FILE_WRITE|FILE_COMMON);
         if(fh == INVALID_HANDLE) { Print("SaveAnalysis: errore apertura ", fn); return; }
 
@@ -1494,7 +1499,7 @@ UpdateHealth(actualReturn);
 
      // ===================== SAVE BAR HISTORY CSV =====================
      void SaveBarHistoryCSV(string symbol, ENUM_TIMEFRAMES tf) const {
-        string fn = "BarHistory_" + symbol + "_" + EnumToString(tf) + ".csv";
+         string fn = "BarHistory_" + symbol + "_" + EnumToString(tf) + "_" + m_runTimestamp + ".csv";
         int fh = FileOpen(fn, FILE_TXT|FILE_WRITE|FILE_COMMON);
         if(fh == INVALID_HANDLE) { Print("BarHistoryCSV: errore apertura ", fn); return; }
 
@@ -1528,7 +1533,7 @@ UpdateHealth(actualReturn);
 
      // ===================== SAVE TRADE HISTORY CSV =====================
      void SaveTradeHistoryCSV(string symbol, ENUM_TIMEFRAMES tf) const {
-        string fn = "TradeHistory_" + symbol + "_" + EnumToString(tf) + ".csv";
+         string fn = "TradeHistory_" + symbol + "_" + EnumToString(tf) + "_" + m_runTimestamp + ".csv";
         int fh = FileOpen(fn, FILE_TXT|FILE_WRITE|FILE_COMMON);
         if(fh == INVALID_HANDLE) { Print("TradeHistoryCSV: errore apertura ", fn); return; }
 
@@ -1596,7 +1601,7 @@ UpdateHealth(actualReturn);
 
      // ===================== SAVE AGENT INTERACTION CSV =====================
      void SaveAgentInteractionCSV(string symbol, ENUM_TIMEFRAMES tf) const {
-        string fn = "AgentInteraction_" + symbol + "_" + EnumToString(tf) + ".csv";
+         string fn = "AgentInteraction_" + symbol + "_" + EnumToString(tf) + "_" + m_runTimestamp + ".csv";
         int fh = FileOpen(fn, FILE_TXT|FILE_WRITE|FILE_COMMON);
         if(fh == INVALID_HANDLE) { Print("AgentInteractionCSV: errore apertura ", fn); return; }
 
@@ -1629,7 +1634,7 @@ UpdateHealth(actualReturn);
 
      // ===================== SAVE DECISION LOG CSV =====================
      void SaveDecisionLogCSV(string symbol, ENUM_TIMEFRAMES tf) const {
-        string fn = "DecisionLog_" + symbol + "_" + EnumToString(tf) + ".csv";
+         string fn = "DecisionLog_" + symbol + "_" + EnumToString(tf) + "_" + m_runTimestamp + ".csv";
         int fh = FileOpen(fn, FILE_TXT|FILE_WRITE|FILE_COMMON);
         if(fh == INVALID_HANDLE) { Print("DecisionLogCSV: errore apertura ", fn); return; }