Dynamic Hedging Strategy Optimizer

Dynamic Hedging Strategy Optimizer

Find an optimal options strategy to hedge your stock position.

Your Stock Position

$

Market Assumptions

%
%

Total Estimated Cost

${formatCurrency(bestHedge.hedgeCost)}

New Portfolio Delta

${formatNum(bestHedge.greeks.delta)}

AI Strategy Recommendation

The AI optimizer recommends purchasing ${bestHedge.numContracts} put option contracts with a strike price of ${formatCurrency(bestHedge.strikePrice)}. This strategy is designed to significantly reduce downside risk (neutralize delta) while balancing the cost of the hedge. The total premium for this protection is estimated at ${formatCurrency(bestHedge.hedgeCost)}. This hedge effectively acts as an insurance policy against a sharp drop in ${stockTicker}'s price over the next ${data.hedgePeriod} days.

Risk Analysis (Portfolio Greeks)

Before Hedge

  • Delta (Directional Risk): ${formatNum(numShares)}
  • Gamma (Acceleration Risk): 0.00
  • Vega (Volatility Risk): 0.00
  • Theta (Time Decay): 0.00

After Hedge

  • Delta (Directional Risk): ${formatNum(bestHedge.greeks.delta)}
  • Gamma (Acceleration Risk): ${formatNum(bestHedge.greeks.gamma)}
  • Vega (Volatility Risk): ${formatCurrency(bestHedge.greeks.vega)}
  • Theta (Time Decay): ${formatCurrency(bestHedge.greeks.theta)}

Portfolio Payoff Diagram at Expiration

`; renderPayoffChart(data); } function renderPayoffChart(data) { const ctx = document.getElementById('payoffChart')?.getContext('2d'); if (!ctx) return; if (chartInstance) chartInstance.destroy(); const { stockPrice, numShares, bestHedge } = data; const labels = []; const stockPayoff = []; const hedgePayoff = []; const combinedPayoff = []; for(let price = stockPrice * 0.7; price <= stockPrice * 1.3; price += stockPrice * 0.01) { labels.push(price); const sPay = (price - stockPrice) * numShares; // Payoff of a long put option at expiration const hPay = (Math.max(0, bestHedge.strikePrice - price) * bestHedge.numContracts * 100) - bestHedge.hedgeCost; stockPayoff.push(sPay); hedgePayoff.push(hPay); combinedPayoff.push(sPay + hPay); } chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [ { label: 'Unhedged Stock Position', data: stockPayoff, borderColor: '#9ca3af', // gray-400 borderWidth: 2, pointRadius: 0, borderDash: [5, 5] }, { label: 'Hedged Portfolio (Stock + Puts)', data: combinedPayoff, borderColor: '#2563eb', // blue-600 backgroundColor: 'rgba(37, 99, 235, 0.1)', fill: true, borderWidth: 3, pointRadius: 0, tension: 0.1 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Stock Price at Expiration ($)' }, ticks: { callback: value => '$' + labels[value].toFixed(2) } }, y: { title: { display: true, text: 'Profit / Loss ($)' }, ticks: { callback: value => '$' + value.toLocaleString() } } }, plugins: { tooltip: { callbacks: { label: context => `${context.dataset.label}: $${context.parsed.y.toLocaleString()}` } } } } }); } // --- PDF Download Functionality --- function downloadPDF() { const pdfElement = document.getElementById('pdf-output'); const stockTicker = document.getElementById('stockTicker')?.value.toUpperCase() || 'Hedge'; if (!pdfElement) { alert("Could not find content to download."); return; } const originalBg = pdfElement.style.backgroundColor; pdfElement.style.backgroundColor = 'white'; const { jsPDF } = window.jspdf; html2canvas(pdfElement, { scale: 2, useCORS: true, backgroundColor: '#ffffff' }) .then(canvas => { pdfElement.style.backgroundColor = originalBg; // Restore background const imgData = canvas.toDataURL('image/png'); const pdf = new jsPDF({ orientation: 'portrait', unit: 'px', format: [canvas.width, canvas.height] }); pdf.addImage(imgData, 'PNG', 0, 0, canvas.width, canvas.height); pdf.save(`${stockTicker}-Hedging-Strategy.pdf`); }).catch(err => { console.error("PDF Generation Error:", err); pdfElement.style.backgroundColor = originalBg; alert("An error occurred while generating the PDF."); }); }
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