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The domain 'swift-dwwa9rispe.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'swift-dwwa9rispe'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

html/eb/13/eb13ffb3-5fc0-4916-a78b-9a780629ec9f.html.gz

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html/eb/13/eb13ffb3-5fc0-4916-a78b-9a780629ec9f_nodriver.html.gz

Apex Capital Pro - Advanced Analytics

Prudence Malinki

MarkMonitor Inc.

edgeone.app

Abuse

Admin

Cloudflare-NOC

Cloudflare, Inc.

CLOUDFLARENET


    // Data
    const yearlyData = [
      { year: 2005, net: 12.4, gross: 15.8, sp500: 4.9, vol: 8.2, sharpe: 1.51, maxDD: -3.2 },
      { year: 2006, net: 18.7, gross: 23.4, sp500: 15.8, vol: 7.8, sharpe: 2.40, maxDD: -2.8 },
      { year: 2007, net: 22.3, gross: 27.9, sp500: 5.5, vol: 9.1, sharpe: 2.45, maxDD: -4.1 },
      { year: 2008, net: -4.2, gross: -2.1, sp500: -37.0, vol: 14.2, sharpe: -0.30, maxDD: -8.7 },
      { year: 2009, net: 31.5, gross: 39.4, sp500: 26.5, vol: 11.3, sharpe: 2.79, maxDD: -5.2 },
      { year: 2010, net: 16.8, gross: 21.0, sp500: 15.1, vol: 8.9, sharpe: 1.89, maxDD: -4.8 },
      { year: 2011, net: 8.2, gross: 10.3, sp500: 2.1, vol: 10.4, sharpe: 0.79, maxDD: -6.1 },
      { year: 2012, net: 14.6, gross: 18.3, sp500: 16.0, vol: 7.2, sharpe: 2.03, maxDD: -3.4 },
      { year: 2013, net: 21.4, gross: 26.8, sp500: 32.4, vol: 6.8, sharpe: 3.15, maxDD: -2.9 },
      { year: 2014, net: 11.2, gross: 14.0, sp500: 13.7, vol: 7.5, sharpe: 1.49, maxDD: -4.2 },
      { year: 2015, net: 7.8, gross: 9.8, sp500: 1.4, vol: 9.8, sharpe: 0.80, maxDD: -5.8 },
      { year: 2016, net: 13.4, gross: 16.8, sp500: 12.0, vol: 8.1, sharpe: 1.65, maxDD: -4.1 },
      { year: 2017, net: 19.2, gross: 24.0, sp500: 21.8, vol: 5.9, sharpe: 3.25, maxDD: -2.1 },
      { year: 2018, net: 5.6, gross: 7.0, sp500: -4.4, vol: 10.2, sharpe: 0.55, maxDD: -7.3 },
      { year: 2019, net: 24.8, gross: 31.0, sp500: 31.5, vol: 7.4, sharpe: 3.35, maxDD: -3.2 },
      { year: 2020, net: 28.6, gross: 35.8, sp500: 18.4, vol: 12.8, sharpe: 2.23, maxDD: -12.3 },
      { year: 2021, net: 19.4, gross: 24.3, sp500: 28.7, vol: 8.6, sharpe: 2.26, maxDD: -4.5 },
      { year: 2022, net: 4.2, gross: 5.3, sp500: -18.1, vol: 11.4, sharpe: 0.37, maxDD: -6.8 },
      { year: 2023, net: 21.8, gross: 27.3, sp500: 26.3, vol: 8.2, sharpe: 2.66, maxDD: -3.9 },
      { year: 2024, net: 24.7, gross: 30.9, sp500: 23.8, vol: 7.9, sharpe: 3.13, maxDD: -2.8 }
    ];

    const monthlyData = {
      2024: [2.8, 1.4, 3.2, -0.8, 2.1, 1.9, 3.4, -1.2, 2.6, 3.1, 2.8, 1.8],
      2023: [3.1, -0.6, 1.8, 2.4, 0.9, 2.7, 1.5, -1.4, -0.8, 2.9, 4.2, 3.6],
      2022: [-1.2, -2.4, 1.8, -0.6, 0.4, -2.1, 3.2, 1.4, -1.8, 2.6, 1.9, 0.8],
      2021: [1.4, 2.1, 1.8, 2.6, 0.8, 1.2, 1.9, 2.4, -0.6, 1.8, 0.4, 2.8],
      2020: [-1.8, -4.2, -6.4, 8.7, 4.2, 2.8, 3.6, 2.1, -0.8, 1.4, 5.2, 4.8],
      2019: [3.2, 1.8, 1.4, 2.6, -1.2, 3.8, 0.8, -0.4, 1.2, 2.4, 2.1, 4.2],
      2018: [2.4, -2.8, 0.6, 1.2, 1.8, 0.4, 1.6, 2.1, 0.8, -3.2, 0.6, -0.8],
      2017: [1.8, 2.4, 0.6, 1.2, 1.4, 0.8, 2.1, 0.4, 1.6, 2.8, 1.2, 1.9],
      2016: [-0.8, -1.4, 2.8, 1.2, 0.6, -0.4, 2.4, 1.8, 0.6, -0.8, 2.1, 4.2],
      2015: [0.4, 2.1, -0.6, 1.2, 0.8, -1.8, 0.6, -2.4, -1.2, 3.6, 0.8, 2.4]
    };

    const stressTests = [
      { event: 'Financial Crisis 2008', period: 'Sep 08 - Mar 09', sp500: -46.1, apex: -8.7 },
      { event: 'Flash Crash 2010', period: 'May 2010', sp500: -8.2, apex: -2.1 },
      { event: 'EU Debt Crisis', period: 'Jul - Oct 2011', sp500: -16.3, apex: -4.2 },
      { event: 'China Devaluation', period: 'Aug 2015', sp500: -11.2, apex: -3.4 },
      { event: 'Q4 2018 Selloff', period: 'Oct - Dec 2018', sp500: -19.8, apex: -5.6 },
      { event: 'COVID-19 Crash', period: 'Feb - Mar 2020', sp500: -33.9, apex: -12.3 },
      { event: '2022 Bear Market', period: 'Jan - Oct 2022', sp500: -25.4, apex: 4.2 }
    ];

    const holdings = [
      { symbol: 'NVDA', sector: 'Technology', weight: 4.2, position: 'Long', entry: '2023-01-15', pnl: 12.4 },
      { symbol: 'MSFT', sector: 'Technology', weight: 3.8, position: 'Long', entry: '2023-02-20', pnl: 5.2 },
      { symbol: 'AMZN', sector: 'Consumer', weight: 3.5, position: 'Long', entry: '2023-03-10', pnl: 8.7 },
      { symbol: 'JPM', sector: 'Financials', weight: 2.9, position: 'Long', entry: '2023-04-05', pnl: 3.1 },
      { symbol: 'TSLA', sector: 'Consumer', weight: 2.4, position: 'Short', entry: '2023-05-12', pnl: 6.8 },
      { symbol: 'GOOGL', sector: 'Technology', weight: 2.2, position: 'Long', entry: '2023-06-08', pnl: -2.1 },
      { symbol: 'UNH', sector: 'Healthcare', weight: 2.0, position: 'Long', entry: '2023-07-15', pnl: 1.8 },
      { symbol: 'XOM', sector: 'Energy', weight: 1.8, position: 'Short', entry: '2023-08-20', pnl: -3.4 },
      { symbol: 'V', sector: 'Financials', weight: 1.6, position: 'Long', entry: '2023-09-10', pnl: 4.2 },
      { symbol: 'MA', sector: 'Financials', weight: 1.4, position: 'Long', entry: '2023-10-05', pnl: 3.8 },
      { symbol: 'PG', sector: 'Consumer', weight: 1.3, position: 'Long', entry: '2023-11-12', pnl: 2.1 },
      { symbol: 'WMT', sector: 'Retail', weight: 1.2, position: 'Long', entry: '2024-01-08', pnl: 0.8 },
      { symbol: 'KO', sector: 'Beverages', weight: 1.1, position: 'Long', entry: '2024-02-14', pnl: 1.5 },
      { symbol: 'MCD', sector: 'Food', weight: 1.0, position: 'Long', entry: '2024-03-10', pnl: 2.3 },
      { symbol: 'AXP', sector: 'Financials', weight: 0.9, position: 'Long', entry: '2024-04-05', pnl: 1.2 }
    ];

    const defaultConfig = {
      fund_name: 'Apex Capital Partners',
      tagline: 'Institutional Multi-Strategy Fund'
    };

    let charts = {};
    let currentPage = 'dashboard';

    function toggleMenu() {
      const menu = document.getElementById('nav-menu');
      if (menu.style.maxHeight && menu.style.maxHeight !== '0px') {
        menu.style.maxHeight = '0px';
      } else {
        menu.style.maxHeight = menu.scrollHeight + 'px';
      }
    }

    function navigate(page) {
      // Hide all pages
      document.querySelectorAll('.page-content').forEach(el => el.classList.add('hidden'));
      
      // Show selected page
      const pageEl = document.getElementById('page-' + page);
      if (pageEl) {
        pageEl.classList.remove('hidden');
        currentPage = page;
      }

      // Update nav links
      document.querySelectorAll('.nav-link').forEach(el => el.classList.remove('active'));
      event.target.classList.add('active');

      // Update breadcrumb
      const breadcrumbNames = {
        dashboard: 'Dashboard',
        performance: 'Performance',
        portfolio: 'Portfolio',
        risk: 'Risk Analysis',
        factors: 'Factor Analysis',
        holdings: 'Holdings',
        scenarios: 'Scenarios'
      };
      document.getElementById('breadcrumb').innerHTML = 
        `<span class="breadcrumb-link" onclick="navigate('dashboard')">Dashboard</span> / <span>${breadcrumbNames[page] || page}</span>`;

      // Initialize charts if needed
      setTimeout(() => {
        if (page === 'performance' && !charts.cumulative) initCumulativeChart();
        if (page === 'factors' && !charts.factor) initFactorChart();
        if (page === 'scenarios' && !charts.scenario) initScenarioChart();
      }, 100);
    }

    function showYearDetail(year) {
      const data = yearlyData.find(d => d.year === year);
      document.getElementById('modal-title').textContent = `Year ${year} Performance`;
      document.getElementById('modal-body').innerHTML = `
        <div><strong>Net Return:</strong> <span class="metric-up">${data.net >= 0 ? '+' : ''}${data.net}%</span></div>
        <div><strong>Gross Return:</strong> <span class="metric-up">${data.gross >= 0 ? '+' : ''}${data.gross}%</span></div>
        <div><strong>S&P 500:</strong> <span>${data.sp500 >= 0 ? '+' : ''}${data.sp500}%</span></div>
        <div><strong>Alpha:</strong> <span class="metric-up">${(data.net - data.sp500).toFixed(1)}%</span></div>
        <div><strong>Volatility:</strong> <span>${data.vol}%</span></div>
        <div><strong>Sharpe Ratio:</strong> <span>${data.sharpe.toFixed(2)}</span></div>
        <div><strong>Max Drawdown:</strong> <span class="metric-down">${data.maxDD}%</span></div>
      `;
      document.getElementById('year-modal').classList.add('active');
    }

    function closeModal() {
      document.getElementById('year-modal').classList.remove('active');
    }

    function renderDashboardRecentYears() {
      const tbody = document.getElementById('dashboard-recent-years');
      tbody.innerHTML = yearlyData.slice(-5).reverse().map(row => `
        <tr class="data-row border-b border-gray-100">
          <td class="px-4 py-3">${row.year}</td>
          <td class="px-4 py-3"><span class="${row.net >= 0 ? 'metric-up' : 'metric-down'} mono">${row.net >= 0 ? '+' : ''}${row.net}%</span></td>
          <td class="px-4 py-3"><span class="${row.gross >= 0 ? 'metric-up' : 'metric-down'} mono">${row.gross >= 0 ? '+' : ''}${row.gross}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sp500 >= 0 ? '+' : ''}${row.sp500}%</span></td>
          <td class="px-4 py-3"><span class="metric-up mono">${(row.net - row.sp500).toFixed(1)}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.vol}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sharpe.toFixed(2)}</span></td>
        </tr>
      `).join('');
    }

    function renderAnnualReturnsTable() {
      const tbody = document.getElementById('annual-returns-table');
      tbody.innerHTML = yearlyData.slice().reverse().map(row => `
        <tr class="data-row border-b border-gray-100">
          <td class="px-4 py-3 font-medium">${row.year}</td>
          <td class="px-4 py-3"><span class="${row.net >= 0 ? 'metric-up' : 'metric-down'} mono">${row.net >= 0 ? '+' : ''}${row.net}%</span></td>
          <td class="px-4 py-3"><span class="${row.gross >= 0 ? 'metric-up' : 'metric-down'} mono">${row.gross >= 0 ? '+' : ''}${row.gross}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sp500 >= 0 ? '+' : ''}${row.sp500}%</span></td>
          <td class="px-4 py-3"><span class="metric-up mono">${(row.net - row.sp500).toFixed(1)}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.vol}%</span></td>
          <td class="px-4 py-3"><span class="mono">${row.sharpe.toFixed(2)}</span></td>
          <td class="px-4 py-3"><span class="metric-down mono">${row.maxDD}%</span></td>
          <td class="px-4 py-3"><button onclick="showYearDetail(${row.year})" class="text-blue-600 hover:text-blue-700 font-medium">Details</button></td>
        </tr>
      `).join('');
    }

    function renderMonthlyHeatmap() {
      const tbody = document.getElementById('monthly-heatmap-table');
      tbody.innerHTML = Object.keys(monthlyData).sort((a, b) => b - a).map(year => {
        const months = monthlyData[year];
        const ytd = months.reduce((a, b) => a + b, 0);
        return `
          <tr class="data-row">
            <td class="px-2 py-2 font-medium">${year}</td>
            ${months.map(v => `
              <td class="px-1 py-2 text-center text-xs">
                <span class="inline-block w-full rounded p-1" style="background: ${v >= 0 ? 'rgba(16, 185, 129, ' + Math.min(Math.abs(v) / 8, 1) * 0.8 + ')' : 'rgba(220, 38, 38, ' + Math.min(Math.abs(v) / 8, 1) * 0.8 + ')'} ; color: ${v >= 0 ? '#065f46' : '#7f1d1d'}">
                  <strong>${v >= 0 ? '+' : ''}${v}</strong>
                </span>
              </td>
            `).join('')}
            <td class="px-2 py-2 text-right"><span class="${ytd >= 0 ? 'metric-up' : 'metric-down'} mono font-bold">${ytd >= 0 ? '+' : ''}${ytd.toFixed(1)}%</span></td>
          </tr>
        `;
      }).join('');
    }

    function renderHoldingsTable() {
      const tbody = document.getElementById('holdings-table');
      tbody.innerHTML = holdings.slice(0, 10).map((h, i) => `
        <tr class="data-row">
          <td class="px-4 py-3">${i + 1}</td>
          <td class="px-4 py-3 font-medium">${h.symbol}</td>
          <td class="px-4 py-3">${h.sector}</td>
          <td class="px-4 py-3 mono">${h.weight}%</td>
          <td class="px-4 py-3"><span class="badge ${h.position === 'Long' ? 'up' : 'down'}">${h.position}</span></td>
          <td class="px-4 py-3"><span class="${h.pnl >= 0 ? 'metric-up' : 'metric-down'}">${h.pnl >= 0 ? '+' : ''}${h.pnl}%</span></td>
          <td class="px-4 py-3"><span class="metric-up">+${(h.pnl * 2.4).toFixed(1)}%</span></td>
        </tr>
      `).join('');
    }

    function renderAllHoldingsTable() {
      const tbody = document.getElementById('all-holdings-table');
      tbody.innerHTML = holdings.map((h, i) => `
        <tr class="data-row">
          <td class="px-4 py-3">${i + 1}</td>
          <td class="px-4 py-3 font-medium">${h.symbol}</td>
          <td class="px-4 py-3"><span class="badge neutral">${h.position}</span></td>
          <td class="px-4 py-3">${h.sector}</td>
          <td class="px-4 py-3 mono">${h.weight}%</td>
          <td class="px-4 py-3"><span class="badge ${h.position === 'Long' ? 'up' : 'down'}">${h.position}</span></td>
          <td class="px-4 py-3 text-xs">${h.entry}</td>
          <td class="px-4 py-3"><span class="${h.pnl >= 0 ? 'metric-up' : 'metric-down'}">${h.pnl >= 0 ? '+' : ''}${h.pnl}%</span></td>
          <td class="px-4 py-3"><button onclick="alert('Details for ${h.symbol}')" class="text-blue-600 hover:text-blue-700 font-medium">→</button></td>
        </tr>
      `).join('');
    }

    function renderCorrelationMatrix() {
      const tbody = document.getElementById('correlation-matrix');
      const corrs = [
        { name: 'Fund', fund: '1.00', sp500: '0.42', bonds: '0.18', gold: '0.12', vix: '-0.31' },
        { name: 'S&P 500', fund: '0.42', sp500: '1.00', bonds: '-0.08', gold: '-0.05', vix: '-0.72' },
        { name: 'Bonds', fund: '0.18', sp500: '-0.08', bonds: '1.00', gold: '0.34', vix: '0.15' },
        { name: 'Gold', fund: '0.12', sp500: '-0.05', bonds: '0.34', gold: '1.00', vix: '0.28' }
      ];
      tbody.innerHTML = corrs.map(row => `
        <tr class="data-row border-b border-gray-200">
          <td class="px-4 py-3 font-medium">${row.name}</td>
          <td class="px-4 py-3 text-center rounded ${row.fund >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.fund}</td>
          <td class="px-4 py-3 text-center rounded ${row.sp500 >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.sp500}</td>
          <td class="px-4 py-3 text-center rounded ${row.bonds >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.bonds}</td>
          <td class="px-4 py-3 text-center rounded ${row.gold >= 0.7 ? 'bg-blue-100' : 'bg-gray-50'}">${row.gold}</td>
          <td class="px-4 py-3 text-center rounded ${row.vix <= -0.5 ? 'bg-red-100' : 'bg-gray-50'}">${row.vix}</td>
        </tr>
      `).join('');
    }

    function renderStressTests() {
      const tbody = document.getElementById('stress-tests-table');
      tbody.innerHTML = stressTests.map(t => `
        <tr class="data-row">
          <td class="px-4 py-3 font-medium">${t.event}</td>
          <td class="px-4 py-3 text-xs">${t.period}</td>
          <td class="px-4 py-3"><span class="metric-down mono">${t.sp500}%</span></td>
          <td class="px-4 py-3"><span class="metric-down mono">${t.apex}%</span></td>
          <td class="px-4 py-3"><span class="metric-up mono">+${(t.sp500 - t.apex).toFixed(1)}%</span></td>
          <td class="px-4 py-3"><span class="badge up">Outperformed</span></td>
        </tr>
      `).join('');
    }

    function initCumulativeChart() {
      if (charts.cumulative) return;
      const ctx = document.getElementById('cumulative-chart');
      if (!ctx) return;
      
      let cum = 1;
      const data = [1];
      yearlyData.forEach(d => {
        cum *= (1 + d.net / 100);
        data.push(parseFloat(cum.toFixed(2)));
      });

      charts.cumulative = new Chart(ctx.getContext('2d'), {
        type: 'line',
        data: {
          labels: yearlyData.map(d => d.year),
          datasets: [{
            label: 'Cumulative Growth ($1M)',
            data: data,
            borderColor: '#3b82f6',
            backgroundColor: 'rgba(59, 130, 246, 0.1)',
            borderWidth: 3,
            fill: true,
            tension: 0.4,
            pointRadius: 0,
            pointHoverRadius: 6,
            pointBackgroundColor: '#3b82f6'
          }]
        },
        options: {
          responsive: true,
          maintainAspectRatio: false,
          plugins: {
            legend: { display: false },
            tooltip: { backgroundColor: '#1f2937', titleColor: '#fff', bodyColor: '#fff' }
          },
          scales: {
            y: { beginAtZero: false, grid: { color: '#e5e7eb' }, ticks: { color: '#6b7280' } },
            x: { grid: { display: false }, ticks: { color: '#6b7280' } }
          }
        }
      });
    }

    function initFactorChart() {
      if (charts.factor) return;
      const ctx = document.getElementById('factor-chart');
      if (!ctx) return;

      charts.factor = new Chart(ctx.getContext('2d'), {
        type: 'bar',
        data: {
          labels: ['Value', 'Momentum', 'Quality', 'Low Vol', 'Dividend'],
          datasets: [{
            label: 'Factor Contribution (%)',
            data: [2.34, 1.82, 3.12, 1.56, 2.43],
            backgroundColor: ['#3b82f6', '#2563eb', '#1d4ed8', '#1e40af', '#1e3a8a'],
            borderRadius: 6
          }]
        },
        options: {
          indexAxis: 'y',
          responsive: true,
          maintainAspectRatio: false,
          plugins: { legend: { display: false } },
          scales: { x: { beginAtZero: true, grid: { color: '#e5e7eb' } }, y: { grid: { display: false } } }
        }
      });
    }

    function initScenarioChart() {
      if (charts.scenario) return;
      const ctx = document.getElementById('scenario-chart');
      if (!ctx) return;

      charts.scenario = new Chart(ctx.getContext('2d'), {
        type: 'bar',
        data: {
          labels: stressTests.map(t => t.event.split(' ')[0]),
          datasets: [
            {
              label: 'S&P 500',
              data: stressTests.map(t => t.sp500),
              backgroundColor: '#ef4444'
            },
            {
              label: 'Apex Capital',
              data: stressTests.map(t => t.apex),
              backgroundColor: '#3b82f6'
            }
          ]
        },
        options: {
          responsive: true,
          maintainAspectRatio: false,
          plugins: { legend: { display: true, position: 'top' } },
          scales: {
            y: { grid: { color: '#e5e7eb' }, ticks: { callback: v => v + '%' } },
            x: { grid: { display: false } }
          }
        }
      });
    }

    function applyConfig(config) {
      document.getElementById('fund-name').textContent = config.fund_name || defaultConfig.fund_name;
      document.getElementById('tagline').textContent = config.tagline || defaultConfig.tagline;
    }

    function init() {
      renderDashboardRecentYears();
      renderAnnualReturnsTable();
      renderMonthlyHeatmap();
      renderHoldingsTable();
      renderAllHoldingsTable();
      renderCorrelationMatrix();
      renderStressTests();

      if (window.elementSdk) {
        window.elementSdk.init({
          defaultConfig,
          onConfigChange: async (config) => { applyConfig(config); },
          mapToCapabilities: () => ({ recolorables: [], borderables: [], fontEditable: undefined, fontSizeable: undefined }),
          mapToEditPanelValues: (config) => new Map([
            ['fund_name', config.fund_name || defaultConfig.fund_name],
            ['tagline', config.tagline || defaultConfig.tagline]
          ])
        });
      }

      applyConfig(defaultConfig);
    }

    init();
  

Requests	IP Address	Location	AS Autonomous System
6	142.250.185.131	Singapore	AS15169
2	43.152.26.58	Singapore	AS139341ACE
2	104.26.3.143	United Kingdom	AS139341
2	45.43.142.101	United Kingdom	AS16276OVH SAS
2	104.17.25.14	United States	AS13335Cloudflare, Inc.
2	172.217.16.202	Unknown	Unknown
16	6	-	-

Security Scan Report: swift-dwwa9rispe.edgeone.app

Summary

AI Security Verdict

Moderate Risk

Risk Factors

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History