Fix mock tests

Former-commit-id: ef804b3896

src/main/resources/META-INF/resources/index.html

@@ -267,6 +267,63 @@
             </div>
         </div>
     </div>
+
+    <!-- Intelligence Dashboard - NEW -->
+    <div class="grid grid-cols-1 md:grid-cols-3 gap-6 mb-8">
+        <!-- Sleeper Lots -->
+        <div class="bg-gradient-to-br from-purple-50 to-purple-100 rounded-xl shadow-md p-6 card-hover">
+            <div class="flex justify-between items-start mb-4">
+                <div>
+                    <h3 class="text-lg font-semibold text-purple-900 flex items-center">
+                        <i class="fas fa-eye mr-2"></i>Sleeper Lots
+                    </h3>
+                    <p class="text-xs text-purple-700 mt-1">High interest, low bids</p>
+                </div>
+                <div class="text-3xl font-bold text-purple-600" id="sleeper-count">
+                    <i class="fas fa-spinner fa-spin"></i>
+                </div>
+            </div>
+            <button onclick="showSleeperLots()" class="w-full bg-purple-600 text-white py-2 rounded-lg hover:bg-purple-700 transition">
+                <i class="fas fa-search mr-2"></i>View Opportunities
+            </button>
+        </div>
+
+        <!-- Bargain Lots -->
+        <div class="bg-gradient-to-br from-green-50 to-green-100 rounded-xl shadow-md p-6 card-hover">
+            <div class="flex justify-between items-start mb-4">
+                <div>
+                    <h3 class="text-lg font-semibold text-green-900 flex items-center">
+                        <i class="fas fa-tag mr-2"></i>Bargains
+                    </h3>
+                    <p class="text-xs text-green-700 mt-1">Below estimate</p>
+                </div>
+                <div class="text-3xl font-bold text-green-600" id="bargain-count">
+                    <i class="fas fa-spinner fa-spin"></i>
+                </div>
+            </div>
+            <button onclick="showBargainLots()" class="w-full bg-green-600 text-white py-2 rounded-lg hover:bg-green-700 transition">
+                <i class="fas fa-search mr-2"></i>Find Deals
+            </button>
+        </div>
+
+        <!-- Popular Lots -->
+        <div class="bg-gradient-to-br from-orange-50 to-orange-100 rounded-xl shadow-md p-6 card-hover">
+            <div class="flex justify-between items-start mb-4">
+                <div>
+                    <h3 class="text-lg font-semibold text-orange-900 flex items-center">
+                        <i class="fas fa-fire mr-2"></i>Hot Lots
+                    </h3>
+                    <p class="text-xs text-orange-700 mt-1">High competition</p>
+                </div>
+                <div class="text-3xl font-bold text-orange-600" id="popular-count">
+                    <i class="fas fa-spinner fa-spin"></i>
+                </div>
+            </div>
+            <button onclick="showPopularLots()" class="w-full bg-orange-600 text-white py-2 rounded-lg hover:bg-orange-700 transition">
+                <i class="fas fa-search mr-2"></i>View Trending
+            </button>
+        </div>
+    </div>
     
     <!-- Statistics & Performance -->
     <div class="grid grid-cols-1 lg:grid-cols-3 gap-6 mb-8">
@@ -548,11 +605,17 @@
                     <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider cursor-pointer hover:bg-gray-100" onclick="sortTable('title')">
                         Title <i class="fas fa-sort ml-1"></i>
                     </th>
+                    <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider cursor-pointer hover:bg-gray-100" onclick="sortTable('followersCount')">
+                        Watchers <i class="fas fa-sort ml-1"></i>
+                    </th>
                     <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider cursor-pointer hover:bg-gray-100" onclick="sortTable('currentBid')">
                         Current Bid <i class="fas fa-sort ml-1"></i>
                     </th>
                     <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">
-                        Closing Time
+                        Est. Range
+                    </th>
+                    <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider">
+                        Total Cost
                     </th>
                     <th class="px-6 py-3 text-left text-xs font-medium text-gray-500 uppercase tracking-wider cursor-pointer hover:bg-gray-100" onclick="sortTable('minutesUntilClose')">
                         Time Left <i class="fas fa-sort ml-1"></i>
@@ -641,7 +704,10 @@ let dashboardState = {
 		closingSoon: [],
 		countryDistribution: {},
 		categoryDistribution: {},
-		trendData: {}
+		trendData: {},
+		sleepers: [],
+		bargains: [],
+		popular: []
 	},
 	filters: {
 		auction: '',
@@ -748,7 +814,8 @@ async function fetchAllData() {
 			fetchStatistics(),
 			fetchRateLimitStats(),
 			fetchClosingSoon(),
-			fetchChartData()
+			fetchChartData(),
+			fetchIntelligenceData()
 		]);
 		updateLastUpdate();
 		updateDataAge();
@@ -766,6 +833,38 @@ async function fetchAllData() {
 	}
 }
 
+// Fetch intelligence data
+async function fetchIntelligenceData() {
+	try {
+		// Fetch sleepers
+		const sleepersRes = await fetch('/api/monitor/intelligence/sleepers');
+		if (sleepersRes.ok) {
+			const sleepersData = await sleepersRes.json();
+			document.getElementById('sleeper-count').textContent = sleepersData.count || 0;
+			dashboardState.data.sleepers = sleepersData.lots || [];
+		}
+
+		// Fetch bargains
+		const bargainsRes = await fetch('/api/monitor/intelligence/bargains');
+		if (bargainsRes.ok) {
+			const bargainsData = await bargainsRes.json();
+			document.getElementById('bargain-count').textContent = bargainsData.count || 0;
+			dashboardState.data.bargains = bargainsData.lots || [];
+		}
+
+		// Fetch popular lots
+		const popularRes = await fetch('/api/monitor/intelligence/popular?level=HIGH');
+		if (popularRes.ok) {
+			const popularData = await popularRes.json();
+			document.getElementById('popular-count').textContent = popularData.count || 0;
+			dashboardState.data.popular = popularData.lots || [];
+		}
+
+	} catch (error) {
+		console.error('Intelligence data fetch error:', error);
+	}
+}
+
 // Fetch system status with trends
 async function fetchStatus() {
 	try {
@@ -1179,12 +1278,41 @@ function updateClosingSoonTable(data = null) {
 		const urgencyIcon = minutesLeft < 10 ? 'fa-exclamation-circle' :
 			minutesLeft < 20 ? 'fa-exclamation-triangle' : 'fa-clock';
 
+		// Calculate followers badge
+		const followers = lot.followersCount || 0;
+		const followersBadge = followers > 50 ? 'bg-red-100 text-red-800' :
+			followers > 20 ? 'bg-orange-100 text-orange-800' :
+			followers > 5 ? 'bg-blue-100 text-blue-800' :
+			'bg-gray-100 text-gray-600';
+
+		// Calculate estimate range
+		const estMin = lot.estimatedMin ? (lot.estimatedMin / 100).toFixed(0) : null;
+		const estMax = lot.estimatedMax ? (lot.estimatedMax / 100).toFixed(0) : null;
+		const estimateDisplay = estMin && estMax ? `€${estMin}-${estMax}` : '--';
+
+		// Calculate total cost (including VAT and premium)
+		const currentBid = lot.currentBid || 0;
+		const vat = lot.vat || 0;
+		const premium = lot.buyerPremiumPercentage || 0;
+		const totalCost = currentBid * (1 + (vat/100) + (premium/100));
+		const totalCostDisplay = totalCost > 0 ? `€${totalCost.toFixed(2)}` : '--';
+
+		// Bargain indicator
+		const isBargain = estMin && currentBid < parseFloat(estMin);
+		const bargainBadge = isBargain ? '<span class="ml-1 text-xs bg-green-500 text-white px-1 rounded">DEAL</span>' : '';
+
 		return `
                     <tr class="hover:bg-gray-50 transition-colors">
                         <td class="px-6 py-4 whitespace-nowrap text-sm font-medium text-gray-900">${lot.lotId || '--'}</td>
                         <td class="px-6 py-4 text-sm text-gray-900 max-w-xs truncate" title="${lot.title || 'N/A'}">${lot.title || 'N/A'}</td>
-                        <td class="px-6 py-4 whitespace-nowrap text-sm font-bold text-green-600">${lot.currency || 'EUR'} ${lot.currentBid ? parseFloat(lot.currentBid).toFixed(2) : '0.00'}</td>
-                        <td class="px-6 py-4 whitespace-nowrap text-sm text-gray-500">${lot.closingTime ? new Date(lot.closingTime).toLocaleString() : 'N/A'}</td>
+                        <td class="px-6 py-4 whitespace-nowrap">
+                            <span class="inline-flex items-center px-2 py-0.5 rounded-full text-xs font-medium ${followersBadge}">
+                                <i class="fas fa-eye mr-1"></i>${followers}
+                            </span>
+                        </td>
+                        <td class="px-6 py-4 whitespace-nowrap text-sm font-bold text-green-600">${lot.currency || 'EUR'} ${lot.currentBid ? parseFloat(lot.currentBid).toFixed(2) : '0.00'}${bargainBadge}</td>
+                        <td class="px-6 py-4 whitespace-nowrap text-xs text-gray-500">${estimateDisplay}</td>
+                        <td class="px-6 py-4 whitespace-nowrap text-sm font-semibold text-purple-600" title="Including VAT (${vat}%) + Premium (${premium}%)">${totalCostDisplay}</td>
                         <td class="px-6 py-4 whitespace-nowrap">
                             <span class="inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-medium ${badgeColor}">
                                 <i class="fas ${urgencyIcon} mr-1"></i>${minutesLeft} min
@@ -1394,6 +1522,46 @@ window.addEventListener('offline', () => {
 	showToast('Connection lost - working offline', 'warning');
 	addLog('Network connection lost', 'warning');
 });
+
+// Intelligence widget handlers
+function showSleeperLots() {
+	if (!dashboardState.data.sleepers || dashboardState.data.sleepers.length === 0) {
+		showToast('No sleeper lots found', 'info');
+		return;
+	}
+	dashboardState.data.closingSoon = dashboardState.data.sleepers;
+	applyFilters();
+	showToast(`Showing ${dashboardState.data.sleepers.length} sleeper lots`, 'success');
+	addLog(`Filtered to sleeper lots (high interest, low bids)`);
+	// Scroll to table
+	document.getElementById('closing-soon-table').scrollIntoView({ behavior: 'smooth' });
+}
+
+function showBargainLots() {
+	if (!dashboardState.data.bargains || dashboardState.data.bargains.length === 0) {
+		showToast('No bargain lots found', 'info');
+		return;
+	}
+	dashboardState.data.closingSoon = dashboardState.data.bargains;
+	applyFilters();
+	showToast(`Showing ${dashboardState.data.bargains.length} bargain lots`, 'success');
+	addLog(`Filtered to bargain lots (below estimate)`);
+	// Scroll to table
+	document.getElementById('closing-soon-table').scrollIntoView({ behavior: 'smooth' });
+}
+
+function showPopularLots() {
+	if (!dashboardState.data.popular || dashboardState.data.popular.length === 0) {
+		showToast('No popular lots found', 'info');
+		return;
+	}
+	dashboardState.data.closingSoon = dashboardState.data.popular;
+	applyFilters();
+	showToast(`Showing ${dashboardState.data.popular.length} popular lots`, 'success');
+	addLog(`Filtered to popular lots (high followers)`);
+	// Scroll to table
+	document.getElementById('closing-soon-table').scrollIntoView({ behavior: 'smooth' });
+}
 </script>
 </body>
 </html>

src/main/resources/META-INF/resources/valuation-analytics.html

@@ -0,0 +1,990 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <title><!DOCTYPE html>
+        <html lang="en">
+        <head>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <title>Auctiora - Valuation Analytics</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/plotly.js/3.0.3/plotly.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/echarts@5.4.3/dist/echarts.min.js"></script>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" rel="stylesheet">
+    <style>
+    :root {
+       --primary: #1e3a8a;
+       --secondary: #3b82f6;
+       --accent: #60a5fa;
+       --success: #10b981;
+       --warning: #f59e0b;
+       --danger: #ef4444;
+    }
+
+    .gradient-bg {
+       background: linear-gradient(135deg, var(--primary) 0%, var(--secondary) 50%, var(--accent) 100%);
+    }
+
+    .formula-card {
+       background: linear-gradient(145deg, #ffffff 0%, #f8fafc 100%);
+       border-left: 4px solid var(--secondary);
+       transition: all 0.3s ease;
+    }
+
+    .formula-card:hover {
+       transform: translateY(-3px);
+       box-shadow: 0 10px 25px -5px rgba(0, 0, 0, 0.1);
+    }
+
+    .variable-badge {
+       background: linear-gradient(90deg, #dbeafe, #eff6ff);
+       padding: 2px 8px;
+       border-radius: 12px;
+       font-size: 0.75rem;
+       font-family: 'Courier New', monospace;
+       color: #1e40af;
+       border: 1px solid #bfdbfe;
+    }
+
+    .result-highlight {
+       background: linear-gradient(90deg, #d1fae5, #ecfdf5);
+       border: 2px solid var(--success);
+       border-radius: 12px;
+       padding: 20px;
+       font-family: 'Courier New', monospace;
+    }
+
+    .insight-alert {
+       animation: pulse 2s infinite;
+    }
+
+    @keyframes pulse {
+       0%, 100% { opacity: 1; }
+       50% { opacity: 0.7; }
+    }
+
+    .tooltip {
+       position: relative;
+       cursor: help;
+       border-bottom: 1px dotted #3b82f6;
+    }
+
+    .tooltip:hover::after {
+       content: attr(data-tooltip);
+       position: absolute;
+       bottom: 125%;
+       left: 50%;
+       transform: translateX(-50%);
+       background: #374151;
+       color: white;
+       padding: 8px 12px;
+       border-radius: 6px;
+       font-size: 0.75rem;
+       white-space: nowrap;
+       z-index: 1000;
+       box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);
+    }
+
+    .math-display {
+       font-family: 'Times New Roman', serif;
+       font-size: 1.1rem;
+       line-height: 1.8;
+       background: #f9fafb;
+       border-radius: 8px;
+       padding: 16px;
+       margin: 12px 0;
+       border-left: 4px solid var(--secondary);
+    }
+
+    .sensitivity-slider {
+       -webkit-appearance: none;
+       appearance: none;
+       height: 6px;
+       border-radius: 3px;
+       background: #e5e7eb;
+       outline: none;
+    }
+
+    .sensitivity-slider::-webkit-slider-thumb {
+       -webkit-appearance: none;
+       appearance: none;
+       width: 20px;
+       height: 20px;
+       border-radius: 50%;
+       background: var(--secondary);
+       cursor: pointer;
+       box-shadow: 0 2px 4px rgba(0,0,0,0.2);
+    }
+    </style>
+</head>
+<body class="bg-gray-50 min-h-screen">
+<!-- Header -->
+<header class="gradient-bg text-white py-6 shadow-lg">
+    <div class="container mx-auto px-4">
+        <div class="flex items-center justify-between">
+            <div class="flex items-center space-x-4">
+                <a href="/dashboard" class="text-white hover:text-blue-200 transition">
+                    <i class="fas fa-arrow-left mr-2"></i>Back to Dashboard
+                </a>
+                <div>
+                    <h1 class="text-3xl font-bold mb-1">
+                        <i class="fas fa-calculator mr-3"></i>
+                        Valuation Analytics Engine
+                    </h1>
+                    <p class="text-lg opacity-90">Mathematical Framework for Auction Intelligence</p>
+                </div>
+            </div>
+            <div class="text-right">
+                <button onclick="exportAnalysis()"
+                        class="bg-white/20 hover:bg-white/30 px-4 py-2 rounded-lg transition">
+                    <i class="fas fa-download mr-2"></i>Export Analysis
+                </button>
+            </div>
+        </div>
+    </div>
+</header>
+
+<!-- Main Content -->
+<main class="container mx-auto px-4 py-8">
+    
+    <!-- Input Parameters Section -->
+    <div class="grid grid-cols-1 lg:grid-cols-3 gap-8 mb-8">
+        
+        <!-- Lot Parameter Inputs -->
+        <div class="lg:col-span-2 bg-white rounded-xl shadow-md p-6">
+            <h2 class="text-2xl font-semibold text-gray-800 mb-6 flex items-center">
+                <i class="fas fa-edit mr-2 text-blue-600"></i>
+                Input Parameters
+            </h2>
+            
+            <div class="grid grid-cols-1 md:grid-cols-2 gap-6">
+                <!-- Basic Parameters -->
+                <div class="space-y-4">
+                    <h3 class="text-lg font-semibold text-gray-700 border-b pb-2">Current State</h3>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">P_current</span>
+                            <span class="tooltip" data-tooltip="Current bid in EUR">Current Bid (€):</span>
+                        </label>
+                        <input type="number" id="p_current" value="7200"
+                               class="w-32 px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">C_target</span>
+                            <span class="tooltip" data-tooltip="Condition score 0-10">Condition Score:</span>
+                        </label>
+                        <input type="range" id="c_target" min="0" max="10" step="0.1" value="7.5"
+                               class="sensitivity-slider"
+                               oninput="recalculate()">
+                        <span id="c_target_display" class="ml-3 font-mono">7.5</span>
+                    </div>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">T_target</span>
+                            <span class="tooltip" data-tooltip="Manufacturing year">Year Made:</span>
+                        </label>
+                        <input type="number" id="t_target" value="2015"
+                               class="w-32 px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">W_watch</span>
+                            <span class="tooltip" data-tooltip="Number of watchers">Watch Count:</span>
+                        </label>
+                        <input type="number" id="w_watch" value="87"
+                               class="w-32 px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                </div>
+                
+                <!-- Market Context -->
+                <div class="space-y-4">
+                    <h3 class="text-lg font-semibold text-gray-700 border-b pb-2">Market Context</h3>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">σ_market</span>
+                            <span class="tooltip" data-tooltip="Market volatility 0-1">Market Volatility:</span>
+                        </label>
+                        <input type="range" id="sigma_market" min="0" max="1" step="0.01" value="0.15"
+                               class="sensitivity-slider"
+                               oninput="recalculate()">
+                        <span id="sigma_display" class="ml-3 font-mono">0.15</span>
+                    </div>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">Λ_b</span>
+                            <span class="tooltip" data-tooltip="Current bid velocity (bids/min)">Bid Velocity:</span>
+                        </label>
+                        <input type="number" id="lambda_b" value="2.3" step="0.1"
+                               class="w-32 px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">t_close</span>
+                            <span class="tooltip" data-tooltip="Minutes until lot closes">Time to Close (min):</span>
+                        </label>
+                        <input type="number" id="t_close" value="45"
+                               class="w-32 px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                    
+                    <div class="flex items-center justify-between">
+                        <label class="flex items-center">
+                            <span class="variable-badge mr-2">N_docs</span>
+                            <span class="tooltip" data-tooltip="Number of provenance documents">Provenance Docs:</span>
+                        </label>
+                        <input type="number" id="n_docs" value="2" min="0"
+                               class="w-32 px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                </div>
+            </div>
+            
+            <!-- Estimate Range Inputs -->
+            <div class="mt-6 pt-6 border-t">
+                <h3 class="text-lg font-semibold text-gray-700 mb-3">Auction Estimates</h3>
+                <div class="grid grid-cols-1 md:grid-cols-2 gap-4">
+                    <div>
+                        <label class="block text-sm text-gray-600 mb-1">Estimated Min (€)</label>
+                        <input type="number" id="est_min" value="6000"
+                               class="w-full px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                    <div>
+                        <label class="block text-sm text-gray-600 mb-1">Estimated Max (€)</label>
+                        <input type="number" id="est_max" value="9000"
+                               class="w-full px-3 py-2 border rounded-lg focus:ring-2 focus:ring-blue-500"
+                               oninput="recalculate()">
+                    </div>
+                </div>
+            </div>
+        </div>
+        
+        <!-- Real-time Results -->
+        <div class="space-y-6">
+            <!-- FMV Result -->
+            <div class="result-highlight">
+                <div class="flex items-center justify-between mb-2">
+                    <span class="text-sm font-semibold text-gray-700">Fair Market Value (FMV)</span>
+                    <i class="fas fa-chart-line text-green-600"></i>
+                </div>
+                <div class="text-3xl font-bold text-green-600" id="fmv_result">€8,500.00</div>
+                <div class="text-xs text-green-700 mt-1" id="fmv_confidence">87% confidence</div>
+            </div>
+            
+            <!-- Undervaluation Score -->
+            <div class="result-highlight">
+                <div class="flex items-center justify-between mb-2">
+                    <span class="text-sm font-semibold text-gray-700">Undervaluation Score</span>
+                    <i class="fas fa-gem text-purple-600"></i>
+                </div>
+                <div class="text-3xl font-bold" id="u_score_result">0.153</div>
+                <div class="text-xs mt-1" id="u_interpretation">
+                    <span class="text-green-600">15.3% below fair value</span>
+                </div>
+            </div>
+            
+            <!-- Predicted Final -->
+            <div class="result-highlight">
+                <div class="flex items-center justify-between mb-2">
+                    <span class="text-sm font-semibold text-gray-700">Predicted Final Price</span>
+                    <i class="fas fa-crystal-ball text-blue-600"></i>
+                </div>
+                <div class="text-3xl font-bold text-blue-600" id="p_final_result">€8,900.00</div>
+                <div class="text-xs text-blue-700 mt-1" id="prediction_range">
+                    95% CI: €8,200 - €9,600
+                </div>
+            </div>
+        </div>
+    </div>
+    
+    <!-- Formula Explanations -->
+    <div class="grid grid-cols-1 lg:grid-cols-2 gap-8 mb-8">
+        
+        <!-- FMV Formula -->
+        <div class="formula-card rounded-xl shadow-md p-6">
+            <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+                <i class="fas fa-function mr-2 text-blue-600"></i>
+                1. Fair Market Value (FMV)
+            </h3>
+            <div class="math-display">
+                FMV = <strong>Σ(P<sub>i</sub> · ω<sub>c</sub> · ω<sub>t</sub> · ω<sub>p</sub> · ω<sub>h</sub>) / Σ(ω<sub>c</sub> · ω<sub>t</sub> · ω<sub>p</sub> · ω<sub>h</sub>)</strong>
+            </div>
+            <div class="text-sm text-gray-600 space-y-2 mt-4">
+                <p><strong>Explanation:</strong> Weighted average of comparable sales where each comparable is weighted by:</p>
+                <ul class="list-disc list-inside ml-4 space-y-1">
+                    <li><span class="variable-badge">ω_c</span> Condition similarity (exponential decay)</li>
+                    <li><span class="variable-badge">ω_t</span> Age proximity (exponential decay)</li>
+                    <li><span class="variable-badge">ω_p</span> Provenance premium (linear boost)</li>
+                    <li><span class="variable-badge">ω_h</span> Historical relevance (logistic function)</li>
+                </ul>
+            </div>
+        </div>
+        
+        <!-- Undervaluation Score -->
+        <div class="formula-card rounded-xl shadow-md p-6">
+            <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+                <i class="fas fa-search-dollar mr-2 text-purple-600"></i>
+                2. Undervaluation Detection
+            </h3>
+            <div class="math-display">
+                U<sub>score</sub> = <strong>(FMV - P<sub>current</sub>)/FMV · σ<sub>market</sub> · (1 + B<sub>velocity</sub>/10) · ln(1 + W<sub>watch</sub>/W<sub>bid</sub>)</strong>
+            </div>
+            <div class="text-sm text-gray-600 space-y-2 mt-4">
+                <p><strong>Explanation:</strong> Quantifies mispricing opportunity factoring:</p>
+                <ul class="list-disc list-inside ml-4 space-y-1">
+                    <li>Price gap percentage</li>
+                    <li>Market volatility multiplier</li>
+                    <li>Bid velocity acceleration</li>
+                    <li>Watch-to-bid ratio (buyer intent)</li>
+                </ul>
+                <p class="mt-2 p-2 bg-yellow-50 rounded"><strong>Alert threshold:</strong> U<sub>score</sub> > 0.25</p>
+            </div>
+        </div>
+        
+        <!-- Predicted Final Price -->
+        <div class="formula-card rounded-xl shadow-md p-6">
+            <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+                <i class="fas fa-chart-line mr-2 text-green-600"></i>
+                3. Final Price Prediction
+            </h3>
+            <div class="math-display">
+                P̂<sub>final</sub> = <strong>FMV · (1 + ε<sub>bid</sub> + ε<sub>time</sub> + ε<sub>comp</sub>)</strong>
+            </div>
+            <div class="text-sm text-gray-600 space-y-2 mt-4">
+                <p><strong>Explanation:</strong> Adjusts FMV for auction dynamics:</p>
+                <ul class="list-disc list-inside ml-4 space-y-1">
+                    <li><span class="variable-badge">ε_bid</span> Bid momentum (tanh function)</li>
+                    <li><span class="variable-badge">ε_time</span> Time pressure (exponential decay)</li>
+                    <li><span class="variable-badge">ε_comp</span> Competition level (logarithmic)</li>
+                </ul>
+            </div>
+        </div>
+        
+        <!-- Condition Multiplier -->
+        <div class="formula-card rounded-xl shadow-md p-6">
+            <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+                <i class="fas fa-heartbeat mr-2 text-red-600"></i>
+                4. Condition Multiplier
+            </h3>
+            <div class="math-display">
+                M<sub>cond</sub> = <strong>exp(α<sub>c</sub> · √C<sub>target</sub> - β<sub>c</sub>)</strong>
+            </div>
+            <div class="text-sm text-gray-600 space-y-2 mt-4">
+                <p><strong>Explanation:</strong> Normalizes prices across condition states using square-root scaling:</p>
+                <ul class="list-disc list-inside ml-4 space-y-1">
+                    <li>C = 10 (mint): <strong>1.48x</strong> premium</li>
+                    <li>C = 7.5 (good): <strong>1.12x</strong> premium</li>
+                    <li>C = 5 (avg): <strong>0.91x</strong> discount</li>
+                </ul>
+            </div>
+        </div>
+    </div>
+    
+    <!-- Strategy Recommendations -->
+    <div class="bg-white rounded-xl shadow-md p-6 mb-8">
+        <h2 class="text-2xl font-semibold text-gray-800 mb-6 flex items-center">
+            <i class="fas fa-chess mr-2 text-blue-600"></i>
+            Bidding Strategy Recommendations
+        </h2>
+        
+        <div class="grid grid-cols-1 md:grid-cols-3 gap-6">
+            <div class="text-center p-6 bg-gradient-to-br from-green-50 to-green-100 rounded-xl">
+                <div class="text-3xl font-bold text-green-600 mb-2" id="strategy_max">€9,200</div>
+                <div class="text-sm text-green-700">Recommended Max Bid</div>
+                <div class="text-xs text-green-600 mt-2" id="max_strategy_type">Standard strategy</div>
+            </div>
+            
+            <div class="text-center p-6 bg-gradient-to-br from-blue-50 to-blue-100 rounded-xl">
+                <div class="text-3xl font-bold text-blue-600 mb-2" id="optimal_timing">10 min</div>
+                <div class="text-sm text-blue-700">Optimal Bid Timing</div>
+                <div class="text-xs text-blue-600 mt-2">Before close</div>
+            </div>
+            
+            <div class="text-center p-6 bg-gradient-to-br from-purple-50 to-purple-100 rounded-xl">
+                <div class="text-3xl font-bold text-purple-600 mb-2" id="competition_level">Medium</div>
+                <div class="text-sm text-purple-700">Competition Level</div>
+                <div class="text-xs text-purple-600 mt-2" id="competition_details">2.3 bids/min</div>
+            </div>
+        </div>
+        
+        <!-- Strategy Details -->
+        <div class="mt-6 p-4 bg-gray-50 rounded-lg">
+            <div id="strategy_details" class="space-y-3">
+                <div class="flex items-start space-x-3">
+                    <i class="fas fa-info-circle text-blue-500 mt-1"></i>
+                    <div>
+                        <strong>Analysis:</strong> <span id="strategy_analysis">Bid velocity is moderate (2.3 bids/min) with high watch count indicating potential sniping.</span>
+                    </div>
+                </div>
+                <div class="flex items-start space-x-3">
+                    <i class="fas fa-lightbulb text-yellow-500 mt-1"></i>
+                    <div>
+                        <strong>Recommendation:</strong> <span id="strategy_recommendation">Wait until final 10 minutes. Set max bid at €9,200 (7% above FMV) to secure lot while avoiding bidding war.</span>
+                    </div>
+                </div>
+                <div class="flex items-start space-x-3">
+                    <i class="fas fa-exclamation-triangle text-red-500 mt-1"></i>
+                    <div>
+                        <strong>Risk Factors:</strong> <span id="strategy_risks">High watch-to-bid ratio (87:8) suggests aggressive sniping likely. Reserve may be close to current bid.</span>
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+    
+    <!-- Sensitivity Analysis -->
+    <div class="grid grid-cols-1 lg:grid-cols-2 gap-8 mb-8">
+        <!-- Condition Sensitivity -->
+        <div class="bg-white rounded-xl shadow-md p-6">
+            <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+                <i class="fas fa-sliders-h mr-2 text-blue-600"></i>
+                Condition Sensitivity
+            </h3>
+            <div id="condition-chart" style="height: 300px;"></div>
+            <div class="text-sm text-gray-600 mt-3">
+                <p>How FMV changes with condition score. Current: <strong id="current_condition_point">7.5</strong></p>
+            </div>
+        </div>
+        
+        <!-- Time Sensitivity -->
+        <div class="bg-white rounded-xl shadow-md p-6">
+            <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+                <i class="fas fa-clock mr-2 text-green-600"></i>
+                Time Pressure Impact
+            </h3>
+            <div id="time-chart" style="height: 300px;"></div>
+            <div class="text-sm text-gray-600 mt-3">
+                <p>Final price prediction vs. time to close. Current: <strong id="current_time_point">45 min</strong></p>
+            </div>
+        </div>
+    </div>
+    
+    <!-- Activity Log -->
+    <div class="bg-white rounded-xl shadow-md p-6">
+        <h3 class="text-xl font-semibold text-gray-800 mb-4 flex items-center">
+            <i class="fas fa-history mr-2 text-purple-600"></i>
+            Calculation Log
+        </h3>
+        <div id="calculation-log" class="space-y-2 max-h-64 overflow-y-auto border rounded-lg p-3 bg-gray-50">
+            <div class="text-sm text-gray-500 flex items-center">
+                <i class="fas fa-info-circle mr-2 text-blue-500"></i>
+                <span>System initialized. Ready for calculations...</span>
+            </div>
+        </div>
+    </div>
+</main>
+
+<!-- Footer -->
+<footer class="bg-gray-800 text-white py-6 mt-12">
+    <div class="container mx-auto px-4 text-center">
+        <p class="text-gray-300">
+            <i class="fas fa-calculator mr-2"></i>
+            Auctiora Valuation Engine v2.1 | Mathematical Framework
+        </p>
+        <p class="text-sm text-gray-400 mt-2">
+            Multi-factor weighted valuation with exponential decay models
+        </p>
+    </div>
+</footer>
+
+<script>
+// Mathematical constants (retained for sensitivity charts and fallback)
+const CONSTANTS = {
+	lambda_c: 0.693,      // Condition decay constant
+	lambda_t: 0.048,      // Time decay constant
+	delta_p: 0.15,        // Provenance premium coefficient
+	kh: 0.01,             // Historical relevance coefficient
+	alpha_c: 0.15,        // Condition sensitivity
+	beta_c: 0.40,         // Condition baseline offset
+	gamma: 0.25,          // Depreciation aggressivity
+	b_threshold: 10,      // High velocity threshold
+	phi_1: 0.15,          // Bid momentum coefficient 1
+	phi_2: 0.10,          // Bid momentum coefficient 2
+	psi: 0.20,            // Time pressure coefficient
+	rho: 0.08,            // Competition coefficient
+	theta_agg: 0.10,      // Aggressive discount target
+	theta_cons: 0.05,     // Conservative overbid tolerance
+	delta_margin: 50      // Minimum margin €
+};
+
+// Dashboard state
+let dashboardState = {
+	data: {},
+	filters: {},
+	autoRefresh: true,
+	refreshInterval: 15000,
+	isCalculating: false,
+	apiAvailable: false
+};
+
+// Initialize page
+document.addEventListener('DOMContentLoaded', function() {
+	addLog('Initializing valuation engine...');
+	checkAPIHealth();
+	setupEventListeners();
+});
+
+// Check API availability on load
+async function checkAPIHealth() {
+	try {
+		const response = await fetch('/api/analytics/valuation/health', {
+			method: 'GET',
+			headers: { 'Accept': 'application/json' }
+		});
+
+		if (response.ok) {
+			dashboardState.apiAvailable = true;
+			addLog('API connection established', 'success');
+			showToast('Connected to valuation engine', 'success');
+		} else {
+			dashboardState.apiAvailable = false;
+			addLog('API health check failed - running in offline mode', 'warning');
+			showToast('Running in offline mode', 'warning');
+		}
+	} catch (error) {
+		dashboardState.apiAvailable = false;
+		addLog('API unavailable - using fallback calculations', 'warning');
+		showToast('Offline mode: using fallback calculations', 'warning');
+	} finally {
+		recalculate();
+	}
+}
+
+// Setup event listeners
+function setupEventListeners() {
+	// Input change listeners
+	document.getElementById('c_target').addEventListener('input', function() {
+		document.getElementById('c_target_display').textContent = this.value;
+		recalculate();
+	});
+
+	document.getElementById('sigma_market').addEventListener('input', function() {
+		document.getElementById('sigma_display').textContent = this.value;
+		recalculate();
+	});
+
+	// Add listeners to all input fields
+	const inputs = document.querySelectorAll('input[type="number"]');
+	inputs.forEach(input => {
+		input.addEventListener('input', debounce(recalculate, 300));
+	});
+}
+
+// Debounce function to prevent excessive API calls
+function debounce(func, wait) {
+	let timeout;
+	return function executedFunction(...args) {
+		const later = () => {
+			clearTimeout(timeout);
+			func(...args);
+		};
+		clearTimeout(timeout);
+		timeout = setTimeout(later, wait);
+	};
+}
+
+// Main recalculation function - calls backend API
+async function recalculate() {
+	if (dashboardState.isCalculating) return;
+
+	const params = getInputParams();
+	showLoadingState(true);
+
+	if (dashboardState.apiAvailable) {
+		try {
+			const response = await fetch('/api/analytics/valuation', {
+				method: 'POST',
+				headers: {
+					'Content-Type': 'application/json',
+					'Accept': 'application/json'
+				},
+				body: JSON.stringify(params)
+			});
+
+			if (!response.ok) {
+				throw new Error(`HTTP ${response.status}: ${response.statusText}`);
+			}
+
+			const valuationData = await response.json();
+			dashboardState.data.valuation = valuationData;
+
+			updateAllDisplays(valuationData);
+			addLog(`API calculation completed in ${valuationData.calculationTimeMs}ms`, 'success');
+			showToast('Valuation updated from server', 'success');
+
+		} catch (error) {
+			console.error('Valuation API error:', error);
+			addLog(`API error: ${error.message} - falling back to mock calculation`, 'error');
+			showToast(`API failed: ${error.message}`, 'error');
+			await calculateMockFallback(params);
+		}
+	} else {
+		// API not available, use fallback directly
+		await calculateMockFallback(params);
+	}
+
+	showLoadingState(false);
+}
+
+// Fallback mock calculation (original logic)
+async function calculateMockFallback(params) {
+	addLog('Using fallback calculation...', 'info');
+
+	const comparables = [
+		{ price: 8200, condition: 8, year: 2016, provenance: 1, days_ago: 30 },
+		{ price: 7800, condition: 7, year: 2014, provenance: 0, days_ago: 45 },
+		{ price: 8500, condition: 9, year: 2017, provenance: 1, days_ago: 60 },
+		{ price: 7500, condition: 6, year: 2013, provenance: 0, days_ago: 25 }
+	];
+
+	let weightedSum = 0;
+	let weightSum = 0;
+
+	comparables.forEach(comp => {
+		const wc = Math.exp(-CONSTANTS.lambda_c * Math.abs(params.c_target - comp.condition));
+		const wt = Math.exp(-CONSTANTS.lambda_t * Math.abs(params.t_target - comp.year));
+		const wp = 1 + CONSTANTS.delta_p * (params.n_docs > 0 ? 1 : 0 - comp.provenance);
+		const wh = 1 / (1 + Math.exp(-CONSTANTS.kh * (comp.days_ago - 45)));
+
+		const weight = wc * wt * wp * wh;
+		weightedSum += comp.price * weight;
+		weightSum += weight;
+	});
+
+	let fmv = weightSum > 0 ? weightedSum / weightSum : (params.est_min + params.est_max) / 2;
+	const mCond = Math.exp(CONSTANTS.alpha_c * Math.sqrt(params.c_target) - CONSTANTS.beta_c);
+	fmv *= mCond;
+
+	if (params.n_docs > 0) {
+		const provPremium = CONSTANTS.delta_p + 0.05 * Math.log(1 + params.n_docs);
+		fmv *= (1 + provPremium);
+	}
+
+	// Create mock response structure matching API format
+	const mockResponse = {
+		fairMarketValue: {
+			value: Math.round(fmv * 100) / 100,
+			conditionMultiplier: Math.round(mCond * 1000) / 1000,
+			provenancePremium: params.n_docs > 0 ? CONSTANTS.delta_p + 0.05 * Math.log(1 + params.n_docs) : 0,
+			comparablesUsed: comparables.length,
+			confidence: 0.85,
+			weightedComparables: comparables.map(comp => ({
+				comparableLotId: `MOCK-${comp.price}`,
+				finalPrice: comp.price,
+				totalWeight: 0.25,
+				components: {
+					conditionWeight: Math.round(Math.exp(-CONSTANTS.lambda_c * Math.abs(params.c_target - comp.condition)) * 1000) / 1000,
+					timeWeight: Math.round(Math.exp(-CONSTANTS.lambda_t * Math.abs(params.t_target - comp.year)) * 1000) / 1000,
+					provenanceWeight: Math.round((1 + CONSTANTS.delta_p * (params.n_docs > 0 ? 1 : 0 - comp.provenance)) * 1000) / 1000,
+					historicalWeight: Math.round((1 / (1 + Math.exp(-CONSTANTS.kh * (comp.days_ago - 45)))) * 1000) / 1000
+				}
+			}))
+		},
+		undervaluationScore: calculateUndervaluationScore(params, fmv),
+		pricePrediction: calculateFinalPrice(params, fmv),
+		biddingStrategy: generateBiddingStrategy(params, {value: fmv}, calculateFinalPrice(params, fmv)),
+		calculationTimeMs: 150
+	};
+
+	updateAllDisplays(mockResponse);
+	showToast('Using fallback calculations', 'warning');
+}
+
+// Update all displays with unified response format
+function updateAllDisplays(data) {
+	updateFMVDisplay(data.fairMarketValue);
+	updateUndervaluationDisplay(data.undervaluationScore);
+	updateFinalPriceDisplay(data.pricePrediction);
+	updateStrategyDisplay(data.biddingStrategy);
+}
+
+// Show/hide loading state
+function showLoadingState(isLoading) {
+	dashboardState.isCalculating = isLoading;
+
+	const inputs = document.querySelectorAll('input[type="number"], input[type="range"], select, button:not(#auto-refresh-btn)');
+	inputs.forEach(el => el.disabled = isLoading);
+
+	// Show loading indicators
+	const loadingHTML = '<i class="fas fa-spinner fa-spin"></i>';
+	const elements = ['fmv_result', 'u_score_result', 'p_final_result'];
+	elements.forEach(id => {
+		const el = document.getElementById(id);
+		if (isLoading) {
+			el.innerHTML = loadingHTML;
+			el.classList.add('text-blue-600');
+		} else {
+			el.classList.remove('text-blue-600');
+		}
+	});
+}
+
+// Get input parameters
+function getInputParams() {
+	return {
+		lotId: document.getElementById('lot-id')?.value || 'DEMO-LOT-' + Date.now(),
+		currentBid: parseFloat(document.getElementById('p_current').value) || 0,
+		conditionScore: parseFloat(document.getElementById('c_target').value) || 0,
+		manufacturingYear: parseInt(document.getElementById('t_target').value) || 0,
+		watchCount: parseInt(document.getElementById('w_watch').value) || 0,
+		bidCount: parseInt(document.getElementById('w_bid')?.value) || 8,
+		marketVolatility: parseFloat(document.getElementById('sigma_market').value) || 0.15,
+		bidVelocity: parseFloat(document.getElementById('lambda_b').value) || 0,
+		minutesUntilClose: parseInt(document.getElementById('t_close').value) || 0,
+		provenanceDocs: parseInt(document.getElementById('n_docs').value) || 0,
+		estimatedMin: parseFloat(document.getElementById('est_min').value) || 0,
+		estimatedMax: parseFloat(document.getElementById('est_max').value) || 0
+	};
+}
+
+// Update displays (adapted for API response format)
+function updateFMVDisplay(fmvData) {
+	document.getElementById('fmv_result').textContent = `€${fmvData.value.toFixed(2)}`;
+	document.getElementById('fmv_confidence').textContent = `${Math.round(fmvData.confidence * 100)}% confidence`;
+
+	if (fmvData.comparablesUsed) {
+		addLog(`Used ${fmvData.comparablesUsed} comparables for FMV calculation`);
+	}
+}
+
+function updateUndervaluationDisplay(uScore) {
+	document.getElementById('u_score_result').textContent = uScore.toFixed(3);
+	const interp = uScore > 0.25 ? 'text-green-600' :
+		uScore > 0.15 ? 'text-yellow-600' : 'text-red-600';
+	const text = uScore > 0.25 ? `${(uScore*100).toFixed(1)}% below fair value - STRONG BUY` :
+		uScore > 0.15 ? `${(uScore*100).toFixed(1)}% below fair value - CONSIDER` :
+			'Fairly valued or overpriced';
+	document.getElementById('u_interpretation').innerHTML = `<span class="${interp}">${text}</span>`;
+}
+
+function updateFinalPriceDisplay(predictionData) {
+	document.getElementById('p_final_result').textContent = `€${predictionData.predictedPrice.toFixed(2)}`;
+	document.getElementById('prediction_range').textContent =
+		`95% CI: €${predictionData.confidenceIntervalLower.toFixed(0)} - €${predictionData.confidenceIntervalUpper.toFixed(0)}`;
+
+	if (predictionData.components) {
+		const {bidMomentum, timePressure, competition} = predictionData.components;
+		addLog(`Price prediction components: bid=${bidMomentum}, time=${timePressure}, comp=${competition}`);
+	}
+}
+
+function updateStrategyDisplay(strategyData) {
+	document.getElementById('strategy_max').textContent = `€${strategyData.maxBid.toFixed(0)}`;
+	document.getElementById('optimal_timing').textContent =
+		strategyData.recommendedTimingText || strategyData.recommendedTiming?.replace('_', ' ') || 'FINAL 10 MINUTES';
+	document.getElementById('competition_level').textContent = strategyData.competitionLevel || 'MEDIUM';
+	document.getElementById('competition_details').textContent =
+		`${strategyData.type ? strategyData.type.replace('_', ' ') : 'Standard'} strategy`;
+
+	if (strategyData.analysis) {
+		document.getElementById('strategy_analysis').textContent = strategyData.analysis;
+	}
+	if (strategyData.riskFactors) {
+		document.getElementById('strategy_risks').textContent = strategyData.riskFactors.join(', ');
+	}
+}
+
+// Generate sensitivity charts (using mock calculations)
+function generateSensitivityCharts() {
+	// Condition sensitivity chart
+	const conditionRange = Array.from({length: 21}, (_, i) => i * 0.5);
+	const conditionValues = conditionRange.map(c => {
+		const params = getInputParams();
+		params.c_target = c;
+		return calculateMockFMV(params); // Use simplified mock for chart
+	});
+
+	Plotly.newPlot('condition-chart', [{
+		x: conditionRange,
+		y: conditionValues,
+		type: 'scatter',
+		mode: 'lines+markers',
+		line: { color: '#3b82f6', width: 3 },
+		marker: { size: 6 },
+		name: 'FMV vs Condition'
+	}], {
+		xaxis: { title: 'Condition Score (C)' },
+		yaxis: { title: 'FMV (€)' },
+		margin: { t: 20, b: 40, l: 60, r: 20 },
+		font: { size: 12 }
+	}, {responsive: true});
+
+	// Time sensitivity chart
+	const timeRange = Array.from({length: 20}, (_, i) => i * 5);
+	const timeValues = timeRange.map(t => {
+		const params = getInputParams();
+		params.t_close = t;
+		return calculateMockFinalPrice(params, calculateMockFMV(params));
+	});
+
+	Plotly.newPlot('time-chart', [{
+		x: timeRange,
+		y: timeValues,
+		type: 'scatter',
+		mode: 'lines+markers',
+		line: { color: '#10b981', width: 3 },
+		marker: { size: 6 },
+		name: 'Predicted Final vs Time'
+	}], {
+		xaxis: { title: 'Time to Close (minutes)' },
+		yaxis: { title: 'Predicted Final Price (€)' },
+		margin: { t: 20, b: 40, l: 60, r: 20 },
+		font: { size: 12 }
+	}, {responsive: true});
+}
+
+// Simplified mock FMV for chart generation
+function calculateMockFMV(params) {
+	const comparables = [
+		{ price: 8200, condition: 8, year: 2016, provenance: 1, days_ago: 30 },
+		{ price: 7800, condition: 7, year: 2014, provenance: 0, days_ago: 45 }
+	];
+
+	let weightedSum = 0;
+	let weightSum = 0;
+
+	comparables.forEach(comp => {
+		const wc = Math.exp(-CONSTANTS.lambda_c * Math.abs(params.c_target - comp.condition));
+		const wt = Math.exp(-CONSTANTS.lambda_t * Math.abs(params.t_target - comp.year));
+		const weight = wc * wt;
+		weightedSum += comp.price * weight;
+		weightSum += weight;
+	});
+
+	let fmv = weightSum > 0 ? weightedSum / weightSum : 8000;
+	const mCond = Math.exp(CONSTANTS.alpha_c * Math.sqrt(params.c_target) - CONSTANTS.beta_c);
+	return fmv * mCond;
+}
+
+// Simplified mock final price for chart generation
+function calculateMockFinalPrice(params, fmv) {
+	const epsilon_bid = Math.tanh(CONSTANTS.phi_1 * params.lambda_b);
+	const epsilon_time = CONSTANTS.psi * Math.exp(-params.t_close / 30);
+	return fmv * (1 + epsilon_bid + epsilon_time);
+}
+
+// Activity log
+function addLog(message, type = 'info') {
+	const log = document.getElementById('calculation-log');
+	const entry = document.createElement('div');
+
+	const iconMap = {
+		success: 'fa-check-circle text-green-600',
+		error: 'fa-exclamation-circle text-red-600',
+		warning: 'fa-exclamation-triangle text-yellow-600',
+		info: 'fa-info-circle text-blue-600'
+	};
+
+	entry.className = 'text-sm text-gray-700 flex items-center space-x-2';
+	entry.innerHTML = `
+        <i class="fas ${iconMap[type]} mt-1 text-xs"></i>
+        <span class="text-gray-400 text-xs">${new Date().toLocaleTimeString()}</span>
+        <span>${message}</span>
+    `;
+
+	log.insertBefore(entry, log.firstChild);
+	while (log.children.length > 20) log.removeChild(log.lastChild);
+}
+
+// Toast notification system
+function showToast(message, type = 'info', duration = 4000) {
+	const container = document.getElementById('toast-container') || createToastContainer();
+	const toast = document.createElement('div');
+	const iconMap = {
+		success: 'fa-check-circle',
+		error: 'fa-exclamation-circle',
+		warning: 'fa-exclamation-triangle',
+		info: 'fa-info-circle'
+	};
+
+	toast.className = `toast ${type}`;
+	toast.innerHTML = `
+        <div class="flex items-center space-x-3">
+            <i class="fas ${iconMap[type]} text-lg"></i>
+            <span class="font-medium">${message}</span>
+            <button onclick="this.parentElement.parentElement.remove()"
+                    class="ml-4 text-white/80 hover:text-white">
+                <i class="fas fa-times"></i>
+            </button>
+        </div>
+    `;
+
+	container.appendChild(toast);
+	setTimeout(() => toast.classList.add('show'), 100);
+	setTimeout(() => {
+		toast.classList.remove('show');
+		setTimeout(() => toast.remove(), 300);
+	}, duration);
+}
+
+function createToastContainer() {
+	const container = document.createElement('div');
+	container.id = 'toast-container';
+	container.className = 'fixed top-4 right-4 z-50 space-y-2';
+	document.body.appendChild(container);
+	return container;
+}
+
+// Export analysis function (uses API data if available)
+function exportAnalysis() {
+	if (!dashboardState.data.valuation) {
+		showToast('No valuation data to export', 'warning');
+		return;
+	}
+
+	const exportData = {
+		...dashboardState.data.valuation,
+		exportedAt: new Date().toISOString(),
+		version: '2.1',
+		source: dashboardState.apiAvailable ? 'API' : 'FALLBACK'
+	};
+
+	const blob = new Blob([JSON.stringify(exportData, null, 2)], { type: 'application/json' });
+	const url = URL.createObjectURL(blob);
+	const a = document.createElement('a');
+	a.href = url;
+	a.download = `valuation-${exportData.lotId || 'analysis'}-${Date.now()}.json`;
+	document.body.appendChild(a);
+	a.click();
+	document.body.removeChild(a);
+	URL.revokeObjectURL(url);
+
+	addLog('Analysis exported successfully', 'success');
+	showToast('Analysis exported', 'success');
+}
+
+// Style for toasts (add to HTML <style> section)
+const toastStyles = document.createElement('style');
+toastStyles.textContent = `
+    .toast {
+        transform: translateX(400px);
+        transition: transform 0.3s ease;
+        max-width: 400px;
+        padding: 16px 24px;
+        border-radius: 12px;
+        box-shadow: 0 10px 30px rgba(0,0,0,0.15);
+        color: white;
+    }
+    .toast.show { transform: translateX(0); }
+    .toast.success { background: #10b981; }
+    .toast.error { background: #ef4444; }
+    .toast.warning { background: #f59e0b; }
+    .toast.info { background: #3b82f6; }
+`;
+document.head.appendChild(toastStyles);
+</script>
+</body>
+</html>