This commit is contained in:
Melchior Reimers
86
dashboard/public/analytics-config.js
Normal file
86
dashboard/public/analytics-config.js
Normal file
@@ -0,0 +1,86 @@
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// Analytics Parameter Konfiguration
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// Diese Datei definiert alle verfügbaren Parameter für Custom Analytics
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// Neue Parameter können hier einfach hinzugefügt werden
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const ANALYTICS_CONFIG = {
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// X-Achse Optionen
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xAxis: {
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'date': {
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label: 'Datum',
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type: 'date',
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description: 'Zeitraum auf der X-Achse'
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},
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'exchange': {
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label: 'Exchange',
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type: 'string',
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description: 'Exchange auf der X-Achse'
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},
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'isin': {
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label: 'ISIN',
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type: 'string',
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description: 'ISIN auf der X-Achse'
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}
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},
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// Y-Achse Optionen (Metriken)
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yAxis: {
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'volume': {
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label: 'Volumen',
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unit: '€',
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description: 'Handelsvolumen in Euro'
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},
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'trade_count': {
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label: 'Tradezahlen',
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unit: '',
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description: 'Anzahl der Trades'
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},
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'avg_price': {
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label: 'Durchschnittspreis',
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unit: '€',
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description: 'Durchschnittlicher Handelspreis'
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}
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},
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// Gruppierungs-Optionen
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groupBy: {
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'exchange': {
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label: 'Exchange',
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description: 'Gruppierung nach Exchange'
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},
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'isin': {
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label: 'ISIN',
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description: 'Gruppierung nach ISIN'
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},
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'date': {
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label: 'Datum',
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description: 'Gruppierung nach Datum'
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}
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},
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// Filter-Optionen
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filters: {
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'exchanges': {
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label: 'Exchanges',
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type: 'multiselect',
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description: 'Filter nach Exchanges (komma-separiert)'
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},
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'isins': {
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label: 'ISINs',
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type: 'multiselect',
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description: 'Filter nach ISINs (komma-separiert)'
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}
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}
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};
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// Hilfsfunktion zum Abrufen von Konfigurationswerten
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function getConfig(category, key) {
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return ANALYTICS_CONFIG[category]?.[key] || null;
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}
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// Funktion zum Hinzufügen neuer Parameter (für zukünftige Erweiterungen)
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function addConfigParameter(category, key, config) {
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if (!ANALYTICS_CONFIG[category]) {
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ANALYTICS_CONFIG[category] = {};
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}
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ANALYTICS_CONFIG[category][key] = config;
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}
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@@ -6,6 +6,7 @@
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<title>Trading Intelligence Hub</title>
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<script src="https://cdn.tailwindcss.com"></script>
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<script src="/static/analytics-config.js"></script>
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<link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;600;700&display=swap" rel="stylesheet">
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<style>
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body { font-family: 'Outfit', sans-serif; background-color: #0b1120; color: #e2e8f0; }
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@@ -26,6 +27,9 @@
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<a href="#" onclick="showView('dashboard')" id="nav-dashboard" class="flex items-center p-3 rounded-xl transition active-nav">
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<span class="mr-3">📊</span> <span class="hidden lg:inline">Dashboard</span>
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</a>
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<a href="#" onclick="showView('custom-analytics')" id="nav-custom-analytics" class="flex items-center p-3 rounded-xl transition">
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<span class="mr-3">📈</span> <span class="hidden lg:inline">Custom Analytics</span>
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</a>
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</nav>
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</aside>
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@@ -40,11 +44,11 @@
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<div id="view-dashboard" class="view flex-1 p-8 pt-4 overflow-y-auto">
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<div class="grid grid-cols-1 md:grid-cols-3 gap-6 mb-10">
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<div class="glass p-8 border-l-4 border-sky-400">
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<p class="text-slate-500 text-xs font-bold uppercase tracking-wider mb-2">Volume (7d)</p>
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<p class="text-slate-500 text-xs font-bold uppercase tracking-wider mb-2" id="statVolumeLabel">Volume</p>
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<h3 id="statVolume" class="text-4xl font-bold">€0.0</h3>
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</div>
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<div class="glass p-8 border-l-4 border-amber-400">
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<p class="text-slate-500 text-xs font-bold uppercase tracking-wider mb-2">Total Trades</p>
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<p class="text-slate-500 text-xs font-bold uppercase tracking-wider mb-2" id="statTradesLabel">Total Trades</p>
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<h3 id="statTrades" class="text-4xl font-bold">0</h3>
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</div>
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<div class="glass p-8 border-l-4 border-emerald-400">
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@@ -83,6 +87,53 @@
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</div>
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</div>
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</div>
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<!-- CUSTOM ANALYTICS VIEW -->
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<div id="view-custom-analytics" class="view hidden flex-1 p-8 pt-4 overflow-y-auto">
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<div class="glass p-8 mb-6">
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<h2 class="text-2xl font-bold text-slate-200 mb-6">Custom Analytics Graph</h2>
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<div class="grid grid-cols-1 md:grid-cols-2 gap-6 mb-6">
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<div>
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<label class="block text-sm font-bold text-slate-400 mb-2">X-Achse (Zeitraum)</label>
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<div class="grid grid-cols-2 gap-2">
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<input type="date" id="customDateFrom" class="input-glass" onchange="updateCustomGraph(); updateUrlParams()">
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<input type="date" id="customDateTo" class="input-glass" onchange="updateCustomGraph(); updateUrlParams()">
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</div>
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</div>
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<div>
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<label class="block text-sm font-bold text-slate-400 mb-2">Y-Achse (Metrik)</label>
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<select id="customYAxis" class="input-glass" onchange="updateCustomGraph(); updateUrlParams()">
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<option value="volume">Volumen</option>
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<option value="trade_count">Tradezahlen</option>
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<option value="avg_price">Durchschnittspreis</option>
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</select>
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<p class="text-xs text-slate-500 mt-1" id="yAxisDescription"></p>
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</div>
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<div>
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<label class="block text-sm font-bold text-slate-400 mb-2">Gruppierung</label>
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<select id="customGroupBy" class="input-glass" onchange="updateCustomGraph(); updateUrlParams()">
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<option value="exchange">Exchange</option>
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<option value="isin">ISIN</option>
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<option value="date">Datum</option>
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</select>
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<p class="text-xs text-slate-500 mt-1" id="groupByDescription"></p>
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</div>
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<div>
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<label class="block text-sm font-bold text-slate-400 mb-2">Exchanges (optional, komma-separiert)</label>
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<input type="text" id="customExchanges" class="input-glass" placeholder="z.B. EIX,LS" onchange="updateCustomGraph(); updateUrlParams()">
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</div>
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</div>
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<button onclick="updateCustomGraph()" class="btn-primary px-6 py-2">Graph aktualisieren</button>
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<button onclick="shareCustomGraph()" class="glass px-6 py-2 ml-2 text-sky-400 hover:text-sky-200">🔗 Link teilen</button>
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</div>
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<div class="glass p-8">
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<h3 class="text-lg font-bold mb-6 text-slate-300" id="customGraphTitle">Custom Analytics Graph</h3>
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<div class="h-96"><canvas id="customAnalyticsChart"></canvas></div>
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</div>
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</div>
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</main>
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<script>
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@@ -92,32 +143,35 @@
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async function fetchData() {
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try {
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const days = parseInt(document.getElementById('statisticsPeriod')?.value || '7');
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// Lade alle Trades (aggregiert) und Total Trades aus vorberechneten Daten
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const [t, m, s, totalTrades] = await Promise.all([
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fetch(`${API}/trades?days=7`).then(r => r.json()),
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fetch(`${API}/trades?days=${days}`).then(r => r.json()),
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fetch(`${API}/metadata`).then(r => r.json()),
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fetch(`${API}/summary`).then(r => r.json()),
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fetch(`${API}/statistics/total-trades`).then(r => r.json())
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fetch(`${API}/summary?days=${days}`).then(r => r.json()),
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fetch(`${API}/statistics/total-trades?days=${days}`).then(r => r.json())
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]);
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store = { ...store, trades: t.dataset || [], metadata: m.dataset || [], summary: s.dataset || [] };
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store.totalTrades = totalTrades.total_trades || 0;
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updateDashboard();
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updateDashboard(days);
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} catch (err) {
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console.error('Error fetching data:', err);
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}
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}
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function updateDashboard() {
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// Volumen aus den letzten 7 Tagen (aggregiert)
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function updateDashboard(days = 7) {
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// Volumen aus dem gewählten Zeitraum (aggregiert)
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let vol = 0;
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if (store.trades && store.trades.length > 0) {
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// Trades sind jetzt aggregiert: [date, exchange, trade_count, volume]
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vol = store.trades.reduce((acc, r) => acc + (parseFloat(r[3] || 0)), 0);
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}
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document.getElementById('statVolume').innerText = vol >= 1e6 ? `€${(vol / 1e6).toFixed(1)}M` : `€${(vol / 1e3).toFixed(0)}k`;
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document.getElementById('statVolumeLabel').innerText = `Volume (${days}d)`;
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// Total Trades aus vorberechneten Daten (ALLE Trades)
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// Total Trades aus vorberechneten Daten für den gewählten Zeitraum
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document.getElementById('statTrades').innerText = (store.totalTrades || 0).toLocaleString();
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document.getElementById('statTradesLabel').innerText = `Total Trades (${days}d)`;
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document.getElementById('statIsins').innerText = store.metadata.length.toLocaleString();
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// Lade Statistiken
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@@ -130,10 +184,18 @@
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document.getElementById(`view-${viewId}`).classList.remove('hidden');
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document.querySelectorAll('#sidebar a').forEach(a => a.classList.remove('active-nav'));
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document.getElementById(`nav-${viewId}`).classList.add('active-nav');
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const titles = { 'dashboard': 'Market Overview', 'custom-analytics': 'Custom Analytics' };
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document.getElementById('pageTitle').innerText = titles[viewId] || 'Dashboard';
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updateUrlParams();
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}
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async function loadStatistics() {
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const days = document.getElementById('statisticsPeriod').value;
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const days = parseInt(document.getElementById('statisticsPeriod')?.value || '7');
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// Aktualisiere auch die Statistik-Karten
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await fetchData();
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// Lade dann die Graphen
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await Promise.all([
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loadMovingAverage(days),
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loadVolumeChanges(days),
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@@ -436,8 +498,238 @@
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}
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}
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// Custom Analytics Funktionen
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async function updateCustomGraph() {
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const dateFrom = document.getElementById('customDateFrom').value;
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const dateTo = document.getElementById('customDateTo').value;
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const yAxis = document.getElementById('customYAxis').value;
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const groupBy = document.getElementById('customGroupBy').value;
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const exchanges = document.getElementById('customExchanges').value;
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if (!dateFrom || !dateTo) {
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console.log('Bitte wählen Sie Start- und Enddatum');
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return;
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}
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try {
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let url = `${API}/custom-analytics?date_from=${dateFrom}&date_to=${dateTo}&x_axis=date&y_axis=${yAxis}&group_by=${groupBy}`;
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if (exchanges) {
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url += `&exchanges=${encodeURIComponent(exchanges)}`;
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}
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const res = await fetch(url).then(r => r.json());
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const data = res.dataset || [];
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const columns = res.columns || [];
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if (!data.length) {
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console.log('Keine Daten für den gewählten Zeitraum');
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return;
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}
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const ctx = document.getElementById('customAnalyticsChart').getContext('2d');
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if (charts.customAnalytics) charts.customAnalytics.destroy();
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const xIdx = columns.findIndex(c => c.name === 'x_value');
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const groupIdx = columns.findIndex(c => c.name === 'group_value');
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const yIdx = columns.findIndex(c => c.name === 'y_value');
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const groups = [...new Set(data.map(r => r[groupIdx]))];
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const dates = [...new Set(data.map(r => r[xIdx]))].sort();
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const colors = ['#38bdf8', '#f43f5e', '#10b981', '#fbbf24', '#8b5cf6', '#f97316', '#ec4899'];
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const datasets = groups.map((group, idx) => ({
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label: group || 'Unknown',
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data: dates.map(d => {
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const row = data.find(r => r[xIdx] === d && r[groupIdx] === group);
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return row ? (row[yIdx] || 0) : 0;
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}),
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borderColor: colors[idx % colors.length],
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backgroundColor: colors[idx % colors.length] + '33',
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borderWidth: 2,
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tension: 0.3,
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fill: false
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}));
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// Nutze Config für Y-Achsen-Label (falls verfügbar)
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let yAxisLabel = 'Wert';
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if (typeof ANALYTICS_CONFIG !== 'undefined' && ANALYTICS_CONFIG.yAxis && ANALYTICS_CONFIG.yAxis[yAxis]) {
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const config = ANALYTICS_CONFIG.yAxis[yAxis];
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yAxisLabel = `${config.label}${config.unit ? ' (' + config.unit + ')' : ''}`;
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} else {
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// Fallback
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const labels = {
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'volume': 'Volumen (€)',
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'trade_count': 'Anzahl Trades',
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'avg_price': 'Durchschnittspreis (€)'
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};
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yAxisLabel = labels[yAxis] || 'Wert';
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}
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charts.customAnalytics = new Chart(ctx, {
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type: 'line',
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data: {
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labels: dates.map(d => new Date(d).toLocaleDateString()),
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datasets: datasets
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},
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options: {
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responsive: true,
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maintainAspectRatio: false,
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interaction: { mode: 'index', intersect: false },
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scales: {
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y: {
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type: 'linear',
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display: true,
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title: { display: true, text: yAxisLabel, color: '#94a3b8' },
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grid: { color: 'rgba(255,255,255,0.05)' },
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ticks: { color: '#64748b' }
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},
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x: {
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title: { display: true, text: 'Datum', color: '#94a3b8' },
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grid: { display: false },
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ticks: { color: '#64748b' }
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}
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},
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plugins: {
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legend: {
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display: true,
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position: 'top',
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labels: { color: '#94a3b8', boxWidth: 12, usePointStyle: true, padding: 15 }
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},
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tooltip: {
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backgroundColor: '#1e293b',
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titleColor: '#38bdf8',
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bodyColor: '#e2e8f0',
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borderColor: 'rgba(255,255,255,0.1)',
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borderWidth: 1
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}
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}
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}
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});
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document.getElementById('customGraphTitle').innerText =
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`${yAxisLabel} nach ${groupBy === 'exchange' ? 'Exchange' : groupBy === 'isin' ? 'ISIN' : 'Datum'} (${dateFrom} bis ${dateTo})`;
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} catch (err) {
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console.error('Error loading custom analytics:', err);
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}
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}
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function shareCustomGraph() {
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const params = new URLSearchParams();
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params.set('view', 'custom-analytics');
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params.set('date_from', document.getElementById('customDateFrom').value);
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params.set('date_to', document.getElementById('customDateTo').value);
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params.set('y_axis', document.getElementById('customYAxis').value);
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params.set('group_by', document.getElementById('customGroupBy').value);
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const exchanges = document.getElementById('customExchanges').value;
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if (exchanges) params.set('exchanges', exchanges);
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const url = window.location.origin + window.location.pathname + '?' + params.toString();
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navigator.clipboard.writeText(url).then(() => {
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alert('Link in Zwischenablage kopiert!');
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}).catch(() => {
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prompt('Link zum Teilen:', url);
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});
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}
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function updateUrlParams() {
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const params = new URLSearchParams(window.location.search);
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const view = window.activeView;
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if (view) params.set('view', view);
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if (view === 'custom-analytics') {
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params.set('date_from', document.getElementById('customDateFrom').value || '');
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params.set('date_to', document.getElementById('customDateTo').value || '');
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params.set('y_axis', document.getElementById('customYAxis').value || '');
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params.set('group_by', document.getElementById('customGroupBy').value || '');
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const exchanges = document.getElementById('customExchanges').value;
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if (exchanges) params.set('exchanges', exchanges);
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else params.delete('exchanges');
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} else if (view === 'dashboard') {
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const period = document.getElementById('statisticsPeriod')?.value;
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if (period) params.set('period', period);
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}
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window.history.replaceState({}, '', window.location.pathname + '?' + params.toString());
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}
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function loadFromUrlParams() {
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const params = new URLSearchParams(window.location.search);
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const view = params.get('view');
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if (view) {
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showView(view);
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||||
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if (view === 'custom-analytics') {
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const dateFrom = params.get('date_from');
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const dateTo = params.get('date_to');
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const yAxis = params.get('y_axis');
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const groupBy = params.get('group_by');
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const exchanges = params.get('exchanges');
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if (dateFrom) document.getElementById('customDateFrom').value = dateFrom;
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if (dateTo) document.getElementById('customDateTo').value = dateTo;
|
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if (yAxis) document.getElementById('customYAxis').value = yAxis;
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if (groupBy) document.getElementById('customGroupBy').value = groupBy;
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if (exchanges) document.getElementById('customExchanges').value = exchanges;
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||||
|
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if (dateFrom && dateTo) {
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setTimeout(() => updateCustomGraph(), 500);
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}
|
||||
} else if (view === 'dashboard') {
|
||||
const period = params.get('period');
|
||||
if (period) {
|
||||
document.getElementById('statisticsPeriod').value = period;
|
||||
setTimeout(() => loadStatistics(), 500);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Initialisiere Custom Analytics Dropdowns aus Config (falls verfügbar)
|
||||
function initCustomAnalyticsDropdowns() {
|
||||
if (typeof ANALYTICS_CONFIG !== 'undefined') {
|
||||
// Y-Achse Optionen
|
||||
const yAxisSelect = document.getElementById('customYAxis');
|
||||
if (yAxisSelect && ANALYTICS_CONFIG.yAxis) {
|
||||
yAxisSelect.innerHTML = '';
|
||||
Object.entries(ANALYTICS_CONFIG.yAxis).forEach(([key, config]) => {
|
||||
const option = document.createElement('option');
|
||||
option.value = key;
|
||||
option.textContent = config.label;
|
||||
yAxisSelect.appendChild(option);
|
||||
});
|
||||
}
|
||||
|
||||
// GroupBy Optionen
|
||||
const groupBySelect = document.getElementById('customGroupBy');
|
||||
if (groupBySelect && ANALYTICS_CONFIG.groupBy) {
|
||||
groupBySelect.innerHTML = '';
|
||||
Object.entries(ANALYTICS_CONFIG.groupBy).forEach(([key, config]) => {
|
||||
const option = document.createElement('option');
|
||||
option.value = key;
|
||||
option.textContent = config.label;
|
||||
groupBySelect.appendChild(option);
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
window.onload = async () => {
|
||||
// Initialisiere Dropdowns aus Config
|
||||
initCustomAnalyticsDropdowns();
|
||||
|
||||
// Setze Standard-Datum (letzte 30 Tage)
|
||||
const today = new Date();
|
||||
const thirtyDaysAgo = new Date(today);
|
||||
thirtyDaysAgo.setDate(today.getDate() - 30);
|
||||
if (!document.getElementById('customDateTo').value) {
|
||||
document.getElementById('customDateTo').value = today.toISOString().split('T')[0];
|
||||
}
|
||||
if (!document.getElementById('customDateFrom').value) {
|
||||
document.getElementById('customDateFrom').value = thirtyDaysAgo.toISOString().split('T')[0];
|
||||
}
|
||||
|
||||
await fetchData();
|
||||
loadFromUrlParams();
|
||||
setInterval(fetchData, 30000);
|
||||
setTimeout(() => loadStatistics(), 1000);
|
||||
};
|
||||
|
||||
@@ -94,17 +94,28 @@ async def get_metadata():
|
||||
return format_questdb_response(data)
|
||||
|
||||
@app.get("/api/summary")
|
||||
async def get_summary():
|
||||
async def get_summary(days: int = None):
|
||||
"""
|
||||
Gibt Zusammenfassung zurück. Nutzt analytics_daily_summary für total_trades (alle Trades).
|
||||
"""
|
||||
# Hole Gesamtzahl aller Trades aus analytics_daily_summary
|
||||
query = """
|
||||
select
|
||||
sum(total_trades) as total_trades,
|
||||
sum(total_volume) as total_volume
|
||||
from analytics_daily_summary
|
||||
Gibt Zusammenfassung zurück. Nutzt analytics_daily_summary für total_trades.
|
||||
Optional: days Parameter für Zeitraum-basierte Zusammenfassung.
|
||||
"""
|
||||
if days:
|
||||
# Zeitraum-basierte Zusammenfassung
|
||||
query = f"""
|
||||
select
|
||||
sum(total_trades) as total_trades,
|
||||
sum(total_volume) as total_volume
|
||||
from analytics_daily_summary
|
||||
where timestamp >= dateadd('d', -{days}, now())
|
||||
"""
|
||||
else:
|
||||
# Gesamtzahl aller Trades
|
||||
query = """
|
||||
select
|
||||
sum(total_trades) as total_trades,
|
||||
sum(total_volume) as total_volume
|
||||
from analytics_daily_summary
|
||||
"""
|
||||
|
||||
data = query_questdb(query)
|
||||
if data and data.get('dataset') and data['dataset']:
|
||||
@@ -135,15 +146,92 @@ async def get_summary():
|
||||
return format_questdb_response(data)
|
||||
|
||||
@app.get("/api/statistics/total-trades")
|
||||
async def get_total_trades():
|
||||
"""Gibt Gesamtzahl aller Trades zurück (aus analytics_daily_summary)"""
|
||||
query = "select sum(total_trades) as total from analytics_daily_summary"
|
||||
async def get_total_trades(days: int = None):
|
||||
"""Gibt Gesamtzahl aller Trades zurück (aus analytics_daily_summary). Optional: days Parameter für Zeitraum."""
|
||||
if days:
|
||||
query = f"select sum(total_trades) as total from analytics_daily_summary where timestamp >= dateadd('d', -{days}, now())"
|
||||
else:
|
||||
query = "select sum(total_trades) as total from analytics_daily_summary"
|
||||
data = query_questdb(query)
|
||||
if data and data.get('dataset') and data['dataset']:
|
||||
total = data['dataset'][0][0] if data['dataset'][0][0] else 0
|
||||
return {'total_trades': total}
|
||||
return {'total_trades': 0}
|
||||
|
||||
@app.get("/api/custom-analytics")
|
||||
async def get_custom_analytics(
|
||||
date_from: str,
|
||||
date_to: str,
|
||||
x_axis: str = "date",
|
||||
y_axis: str = "volume",
|
||||
group_by: str = "exchange",
|
||||
exchanges: str = None
|
||||
):
|
||||
"""
|
||||
Flexibler Analytics-Endpunkt für custom Graphen.
|
||||
|
||||
Parameters:
|
||||
- date_from: Startdatum (YYYY-MM-DD)
|
||||
- date_to: Enddatum (YYYY-MM-DD)
|
||||
- x_axis: X-Achse (date, exchange, isin)
|
||||
- y_axis: Y-Achse (volume, trade_count, avg_price)
|
||||
- group_by: Gruppierung (exchange, isin, date)
|
||||
- exchanges: Komma-separierte Liste von Exchanges (optional)
|
||||
"""
|
||||
# Validiere Parameter
|
||||
valid_x_axis = ["date", "exchange", "isin"]
|
||||
valid_y_axis = ["volume", "trade_count", "avg_price"]
|
||||
valid_group_by = ["exchange", "isin", "date"]
|
||||
|
||||
if x_axis not in valid_x_axis:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid x_axis. Must be one of: {valid_x_axis}")
|
||||
if y_axis not in valid_y_axis:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid y_axis. Must be one of: {valid_y_axis}")
|
||||
if group_by not in valid_group_by:
|
||||
raise HTTPException(status_code=400, detail=f"Invalid group_by. Must be one of: {valid_group_by}")
|
||||
|
||||
# Baue Query auf
|
||||
y_axis_map = {
|
||||
"volume": "sum(price * quantity)",
|
||||
"trade_count": "count(*)",
|
||||
"avg_price": "avg(price)"
|
||||
}
|
||||
|
||||
x_axis_map = {
|
||||
"date": "date_trunc('day', timestamp)",
|
||||
"exchange": "exchange",
|
||||
"isin": "isin"
|
||||
}
|
||||
|
||||
group_by_map = {
|
||||
"exchange": "exchange",
|
||||
"isin": "isin",
|
||||
"date": "date_trunc('day', timestamp)"
|
||||
}
|
||||
|
||||
y_metric = y_axis_map[y_axis]
|
||||
x_label = x_axis_map[x_axis]
|
||||
group_by_field = group_by_map[group_by]
|
||||
|
||||
query = f"""
|
||||
select
|
||||
{x_label} as x_value,
|
||||
{group_by_field} as group_value,
|
||||
{y_metric} as y_value
|
||||
from trades
|
||||
where timestamp >= '{date_from}'
|
||||
and timestamp <= '{date_to}'
|
||||
"""
|
||||
|
||||
if exchanges:
|
||||
exchange_list = ",".join([f"'{e.strip()}'" for e in exchanges.split(",")])
|
||||
query += f" and exchange in ({exchange_list})"
|
||||
|
||||
query += f" group by {x_label}, {group_by_field} order by {x_label} asc, {group_by_field} asc"
|
||||
|
||||
data = query_questdb(query, timeout=15)
|
||||
return format_questdb_response(data)
|
||||
|
||||
@app.get("/api/statistics/moving-average")
|
||||
async def get_moving_average(days: int = 7, exchange: str = None):
|
||||
"""
|
||||
|
||||
Reference in New Issue
Block a user