diff --git a/components/AIAnalysisPanel.tsx b/components/AIAnalysisPanel.tsx
index b238fba..86afc5e 100644
--- a/components/AIAnalysisPanel.tsx
+++ b/components/AIAnalysisPanel.tsx
@@ -504,6 +504,72 @@ export default function AIAnalysisPanel({ onAnalysisComplete }: AIAnalysisPanelP
     setTradeModalOpen(true)
   }
 
+  // Manual trade marking for follow-up (when trading manually on external platforms)
+  const markAsTraded = async (analysisData: any) => {
+    try {
+      console.log('📋 Marking analysis as manually traded for follow-up:', analysisData)
+      
+      // Extract trade data from analysis
+      const analysis = analysisData.result?.analysis || analysisData.analysis
+      if (!analysis) {
+        alert('❌ No analysis data found to mark as traded')
+        return
+      }
+
+      // Create virtual position for follow-up tracking
+      const entryPrice = analysis.entry?.price || 0
+      const stopLoss = analysis.stopLoss?.price || null
+      const takeProfit = analysis.takeProfits?.tp1?.price || null
+      const side = analysis.recommendation === 'BUY' ? 'LONG' : analysis.recommendation === 'SELL' ? 'SHORT' : 'LONG'
+      
+      if (!entryPrice) {
+        alert('❌ No entry price found in analysis')
+        return
+      }
+
+      // Prompt for trade details
+      const amount = prompt('Enter trade amount (size):')
+      if (!amount || parseFloat(amount) <= 0) return
+
+      const actualEntryPrice = prompt(`Confirm entry price (from analysis: $${entryPrice}):`, entryPrice.toString())
+      if (!actualEntryPrice) return
+
+      const response = await fetch('/api/trading/positions', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          action: 'add',
+          symbol: symbol,
+          side: side,
+          amount: parseFloat(amount),
+          entryPrice: parseFloat(actualEntryPrice),
+          leverage: 1,
+          stopLoss: stopLoss,
+          takeProfit: takeProfit,
+          txId: `manual_${Date.now()}`,
+          notes: `Manual trade marked from AI analysis - ${analysis.summary?.substring(0, 100) || 'AI trading setup'}`
+        })
+      })
+
+      const result = await response.json()
+      
+      if (result.success) {
+        alert(`✅ Position marked as traded!\n\n• ${side} ${amount} ${symbol}\n• Entry: $${actualEntryPrice}\n• Follow-up assistant now available`)
+        
+        // Optional: Show follow-up panel
+        if (confirm('Open Trade Follow-up Assistant now?')) {
+          setFollowUpPanelOpen(true)
+        }
+      } else {
+        throw new Error(result.error || 'Failed to mark trade')
+      }
+      
+    } catch (error) {
+      console.error('Error marking trade:', error)
+      alert(`❌ Failed to mark trade: ${error instanceof Error ? error.message : 'Unknown error'}`)
+    }
+  }
+
   // Trade execution API call
   const executeTrade = async (tradeData: any) => {
     try {
@@ -1022,12 +1088,21 @@ export default function AIAnalysisPanel({ onAnalysisComplete }: AIAnalysisPanelP
                   </h5>
                   <div className="flex items-center space-x-2">
                     {timeframeResult.success && timeframeResult.result.analysis && (
-                      <button
-                        onClick={() => handleTradeClick(timeframeResult)}
-                        className="px-3 py-1 bg-gradient-to-r from-green-500 to-green-600 text-white text-xs font-medium rounded hover:from-green-600 hover:to-green-700 transition-all transform hover:scale-105"
-                      >
-                        💰 Trade
-                      </button>
+                      <>
+                        <button
+                          onClick={() => handleTradeClick(timeframeResult)}
+                          className="px-3 py-1 bg-gradient-to-r from-green-500 to-green-600 text-white text-xs font-medium rounded hover:from-green-600 hover:to-green-700 transition-all transform hover:scale-105"
+                        >
+                          💰 Trade
+                        </button>
+                        <button
+                          onClick={() => markAsTraded(timeframeResult)}
+                          className="px-3 py-1 bg-gradient-to-r from-blue-500 to-blue-600 text-white text-xs font-medium rounded hover:from-blue-600 hover:to-blue-700 transition-all transform hover:scale-105"
+                          title="Mark as manually traded for follow-up analysis"
+                        >
+                          📋 Mark Traded
+                        </button>
+                      </>
                     )}
                     <span className="text-xs text-gray-400">
                       {timeframeResult.success ? 'Analysis Complete' : 'Failed'}
@@ -1125,12 +1200,21 @@ export default function AIAnalysisPanel({ onAnalysisComplete }: AIAnalysisPanelP
             </h3>
             <div className="flex items-center space-x-3">
               {result.analysis && (
-                <button
-                  onClick={() => handleTradeClick({ result, timeframeLabel: selectedTimeframes.map(tf => timeframes.find(t => t.value === tf)?.label).join(', ') })}
-                  className="px-4 py-2 bg-gradient-to-r from-green-500 to-green-600 text-white text-sm font-medium rounded-lg hover:from-green-600 hover:to-green-700 transition-all transform hover:scale-105"
-                >
-                  💰 Execute Trade
-                </button>
+                <>
+                  <button
+                    onClick={() => handleTradeClick({ result, timeframeLabel: selectedTimeframes.map(tf => timeframes.find(t => t.value === tf)?.label).join(', ') })}
+                    className="px-4 py-2 bg-gradient-to-r from-green-500 to-green-600 text-white text-sm font-medium rounded-lg hover:from-green-600 hover:to-green-700 transition-all transform hover:scale-105"
+                  >
+                    💰 Execute Trade
+                  </button>
+                  <button
+                    onClick={() => markAsTraded({ result, timeframeLabel: selectedTimeframes.map(tf => timeframes.find(t => t.value === tf)?.label).join(', ') })}
+                    className="px-4 py-2 bg-gradient-to-r from-blue-500 to-blue-600 text-white text-sm font-medium rounded-lg hover:from-blue-600 hover:to-blue-700 transition-all transform hover:scale-105"
+                    title="Mark as manually traded for follow-up analysis"
+                  >
+                    📋 Mark as Traded
+                  </button>
+                </>
               )}
               {result.screenshots && (
                 <div className="text-xs text-gray-400">