Trade Return Calculator

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Trade Return Calculator

Calculate and analyze the profitability of your investment trades with precision.

Enter Trade Details

The price at which you entered the trade.
The price at which you closed the trade.
The number of units traded.
Any commission or fee paid to enter the trade.
Any commission or fee paid to close the trade.

Trade Analysis

Total Cost

Total Revenue

Net Profit/Loss

Return Percentage
Formula Used:
Net Profit/Loss = (Exit Price – Entry Price) * Quantity – (Entry Fee + Exit Fee)
Total Cost = (Entry Price * Quantity) + Entry Fee
Total Revenue = (Exit Price * Quantity) – Exit Fee
Return Percentage = (Net Profit/Loss / Total Cost) * 100
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Trade Profitability Over Quantity

What is a Trade Return Calculator?

A trade return calculator is a specialized financial tool designed to help investors and traders accurately assess the profitability of their individual trades. It quantifies the gains or losses realized from buying and selling an asset, taking into account the initial investment, the closing value, and any associated costs such as commissions or fees. Understanding your trade return is fundamental to evaluating your investment strategy and making informed decisions for future trades.

Anyone involved in financial markets, from novice retail investors to seasoned day traders, can benefit from using a trade return calculator. It provides a clear, objective measure of performance for each transaction. Common misconceptions include assuming that only the difference between buying and selling price matters, neglecting the significant impact of fees, or failing to calculate returns on a percentage basis, which is crucial for comparing trades of different sizes.

The primary keyword, "trade return calculator," is central to understanding how well specific investment decisions have performed. It moves beyond simply tracking stock prices to analyzing the actual financial outcome of executing a trade. A robust trade return calculator demystifies investment performance, making it accessible to all.

Who Should Use a Trade Return Calculator?

  • Day Traders: Essential for analyzing the high frequency of trades and optimizing short-term strategies.
  • Swing Traders: Helps evaluate trades held for days or weeks.
  • Long-Term Investors: Useful for periodically reviewing realized gains from sold positions.
  • Options and Futures Traders: Crucial for understanding leveraged positions and contract profitability.
  • Beginner Investors: Simplifies the complex calculation of profit and loss, fostering a better understanding of investment mechanics.

Common Misconceptions about Trade Returns

  • Ignoring Fees: Many beginners overlook transaction costs, which can significantly erode profits, especially on small trades or high-volume trading.
  • Confusing Absolute Profit with Percentage Return: A large dollar profit might be a small percentage return on a huge investment, while a small dollar profit could be an excellent return on a smaller capital outlay.
  • Only Calculating for Winning Trades: It's equally important to calculate the return on losing trades to understand the full impact on your portfolio.

Mastering the use of a trade return calculator is a vital step toward disciplined and profitable trading. It provides the data needed to refine strategies and improve decision-making over time. For those looking to manage their portfolios more effectively, understanding concepts like ROI calculation is also paramount.

Trade Return Calculator Formula and Mathematical Explanation

The core of any trade return calculator lies in its mathematical formula, which breaks down the profitability of a transaction. It ensures that all relevant financial components are considered for an accurate assessment.

Step-by-Step Derivation

  1. Calculate Gross Profit/Loss: This is the difference between the exit price and the entry price, multiplied by the quantity of shares or units traded.
    Gross Profit/Loss = (Exit Price - Entry Price) * Quantity
  2. Calculate Total Fees: Sum up all costs associated with the trade, including entry and exit commissions, brokerage fees, or other transaction charges.
    Total Fees = Entry Fee + Exit Fee
  3. Calculate Net Profit/Loss: Subtract the total fees from the gross profit/loss to find the actual profit or loss realized from the trade.
    Net Profit/Loss = Gross Profit/Loss - Total Fees
  4. Calculate Total Cost: Determine the total capital outlay for the trade. This includes the cost of acquiring the asset plus any entry fees.
    Total Cost = (Entry Price * Quantity) + Entry Fee
  5. Calculate Total Revenue: This is the total amount received from selling the asset, less any exit fees.
    Total Revenue = (Exit Price * Quantity) - Exit Fee
  6. Calculate Percentage Return: Express the net profit/loss as a percentage of the total cost. This provides a standardized measure of profitability, independent of the trade size.
    Return Percentage = (Net Profit/Loss / Total Cost) * 100%

Variable Explanations

Variable Name Meaning Unit Typical Range
Entry Price The price per unit at which the asset was purchased. Currency (e.g., USD, EUR) Positive value, typically ≥ 0.01
Exit Price The price per unit at which the asset was sold. Currency (e.g., USD, EUR) Positive value, typically ≥ 0.01
Quantity The number of units (shares, contracts, etc.) traded. Count Positive integer, typically ≥ 1
Entry Fee Costs incurred when opening the trade (e.g., commission). Currency (e.g., USD, EUR) Non-negative value, typically ≥ 0
Exit Fee Costs incurred when closing the trade (e.g., commission). Currency (e.g., USD, EUR) Non-negative value, typically ≥ 0
Total Cost The total capital invested to enter the trade. Currency (e.g., USD, EUR) Positive value
Total Revenue The total capital received from closing the trade. Currency (e.g., USD, EUR) Positive value
Net Profit/Loss The final profit or loss after all costs. Currency (e.g., USD, EUR) Can be positive (profit) or negative (loss)
Return Percentage Profit or loss expressed as a percentage of the total cost. Percentage (%) Can be positive or negative

Accurate data input is crucial for the validity of the trade return calculator results. Even small fees can compound and impact overall profitability significantly over multiple trades.

Practical Examples (Real-World Use Cases)

Understanding the trade return calculator in practice brings its utility to life. Here are a couple of scenarios illustrating its application:

Example 1: Profitable Stock Trade

An investor buys 50 shares of TechCorp Inc. at $150.00 per share. They pay a $5 commission to enter the trade. Later, they sell all 50 shares at $165.00 per share, incurring another $5 commission.

Inputs:

  • Entry Price: $150.00
  • Exit Price: $165.00
  • Quantity: 50
  • Entry Fee: $5.00
  • Exit Fee: $5.00

Calculation using the Trade Return Calculator:

  • Gross Profit: ($165.00 – $150.00) * 50 = $15.00 * 50 = $750.00
  • Total Fees: $5.00 + $5.00 = $10.00
  • Net Profit: $750.00 – $10.00 = $740.00
  • Total Cost: ($150.00 * 50) + $5.00 = $7500.00 + $5.00 = $7505.00
  • Total Revenue: ($165.00 * 50) – $5.00 = $8250.00 – $5.00 = $8245.00
  • Return Percentage: ($740.00 / $7505.00) * 100% ≈ 9.86%

Interpretation: Despite the relatively small commissions, the investor achieved a solid net profit of $740.00, representing a respectable 9.86% return on their invested capital for this trade. This trade return calculator result confirms the trade's success.

Example 2: Unprofitable Options Trade with Fees

A trader buys 10 call options contracts for EnergyCo at $2.50 per contract. Each contract represents 100 shares, so the total number of underlying shares is 1000. They pay $7.00 in commission for the entry. The trade turns sour, and they exit the position at $1.80 per contract, paying another $7.00 commission.

Inputs:

  • Entry Price: $2.50
  • Exit Price: $1.80
  • Quantity: 10 contracts (representing 1000 shares)
  • Entry Fee: $7.00
  • Exit Fee: $7.00

Calculation using the Trade Return Calculator:

  • Gross Profit/Loss: ($1.80 – $2.50) * 1000 = -$0.70 * 1000 = -$700.00
  • Total Fees: $7.00 + $7.00 = $14.00
  • Net Profit/Loss: -$700.00 – $14.00 = -$714.00
  • Total Cost: ($2.50 * 1000) + $7.00 = $2500.00 + $7.00 = $2507.00
  • Total Revenue: ($1.80 * 1000) – $7.00 = $1800.00 – $7.00 = $1793.00
  • Return Percentage: (-$714.00 / $2507.00) * 100% ≈ -28.48%

Interpretation: This trade resulted in a significant loss of $714.00. The trade return calculator shows this as a -28.48% return on investment. The fees, while seemingly small initially, added to the overall loss. This highlights the importance of accurately tracking all costs when assessing trade performance, a key function of a reliable trade return calculator.

How to Use This Trade Return Calculator

Our user-friendly trade return calculator is designed for ease of use, providing instant insights into your trade performance. Follow these simple steps to get accurate results:

Step-by-Step Instructions

  1. Input Entry Price: Enter the price per unit (e.g., per share) at which you opened the trade.
  2. Input Exit Price: Enter the price per unit at which you closed the trade.
  3. Input Quantity: Specify the number of units (shares, contracts, etc.) involved in the trade.
  4. Input Entry Fee (Optional): If applicable, enter any commission or fee paid when you opened the trade. Leave blank or enter 0 if there were no entry fees.
  5. Input Exit Fee (Optional): If applicable, enter any commission or fee paid when you closed the trade. Leave blank or enter 0 if there were no exit fees.
  6. Click 'Calculate Return': Once all relevant fields are populated, click the button to see your results.
  7. Review Results: The calculator will display the Net Profit/Loss, Return Percentage, Total Cost, Total Revenue, and other key metrics.
  8. Use Advanced Features: Explore the chart for a visual representation of how returns change with quantity. Use the 'Copy Results' button to save or share your analysis.
  9. Reset: If you need to start over or analyze a new trade, click the 'Reset' button to clear all fields.

How to Interpret Results

  • Net Profit/Loss: A positive number indicates a profitable trade, while a negative number signifies a loss.
  • Return Percentage: This is the most critical metric for comparing trades. A higher positive percentage means a more successful trade relative to the capital invested. A negative percentage shows the extent of the loss relative to the investment.
  • Total Cost & Total Revenue: These provide context for the net profit/loss, showing the total capital deployed and recouped.

Decision-Making Guidance

Use the insights from the trade return calculator to refine your trading strategy:

  • Evaluate Strategy Performance: Are your typical trades consistently profitable? If not, consider revising your entry/exit criteria or risk management.
  • Compare Broker Fees: Understand how different fee structures impact your net returns. A slightly higher commission might be acceptable if it leads to better execution prices. Explore broker comparison tools to find cost-effective options.
  • Set Profit Targets: Use historical return percentages to set realistic profit targets for future trades.
  • Assess Risk Management: Analyze losing trades to understand if your stop-loss levels are appropriate or if you're exiting too late. Proper risk management strategies are key.

A consistent review of trade performance using this trade return calculator is essential for long-term success in trading.

Key Factors That Affect Trade Return Results

Several elements influence the outcome of a trade and, consequently, the results shown by a trade return calculator. Understanding these factors is crucial for effective trading and portfolio management.

  1. Market Volatility: Higher volatility can lead to wider price swings, potentially increasing both profits and losses. While it offers opportunities for greater returns, it also amplifies risk. The speed at which prices move impacts how quickly your trade target or stop-loss is hit.
  2. Entry and Exit Prices: The most direct determinants of gross profit. Slippage (the difference between expected and actual execution price), especially in fast-moving markets, can significantly alter these prices. The precision of a trade return calculator depends on accurate input of these values.
  3. Quantity of Shares/Units: The number of units traded directly scales the profit or loss. A small percentage gain on a large quantity can result in substantial absolute profit, while the same percentage gain on a small quantity yields a modest return.
  4. Transaction Fees and Commissions: These are often underestimated but can significantly eat into profits, particularly for high-frequency traders or those trading smaller positions. Comparing fees across brokers is vital; tools for commission calculator usage can be helpful.
  5. Holding Period: The length of time a trade is held can expose it to different market conditions, news events, and overnight risks. Longer holding periods might incur different fee structures (e.g., account maintenance fees) and are more susceptible to broader economic shifts.
  6. Leverage: When trading with leverage (e.g., margin accounts, CFDs, futures), profits and losses are magnified. A small adverse price movement can lead to substantial losses, potentially exceeding the initial capital. While leverage can boost returns, it dramatically increases risk.
  7. Market Trends and Sentiment: Trading with or against the prevailing trend can significantly impact success rates. Market sentiment, driven by news, economic data, or investor psychology, influences price direction and momentum, affecting your ability to achieve desired exit prices.
  8. Inflation: While not directly part of the instantaneous trade calculation, inflation erodes the purchasing power of money over time. A positive nominal return might be a negative real return if inflation is higher than the trade's percentage gain. Consider using a inflation calculator for long-term perspective.

The trade return calculator provides a snapshot, but these external factors shape the environment in which trades occur and ultimately determine their success.

Frequently Asked Questions (FAQ)

What is the difference between Net Profit and Return Percentage?

Net Profit is the absolute dollar amount gained or lost after all costs. Return Percentage expresses this profit or loss as a proportion of the initial investment (Total Cost), providing a standardized measure of performance independent of the trade size.

Can I use this calculator for cryptocurrencies or forex?

Yes, provided you input the correct 'entry price', 'exit price', 'quantity' (e.g., number of coins, lots), and any associated fees (like exchange or broker fees). The underlying calculation principle remains the same.

How do I account for bid-ask spreads?

The bid-ask spread is implicitly included in your entry and exit prices. If you bought at the ask and sold at the bid, the difference between those prices (along with any explicit fees) forms part of your cost basis and influences the net profit/loss calculated by the trade return calculator.

What if I had a partial fill on my order?

For partial fills, you would typically calculate the return for each filled portion separately or calculate an average entry/exit price and total quantity. This calculator assumes a single, uniform entry and exit price for the entire quantity.

Does this calculator consider taxes on profits?

No, this trade return calculator calculates pre-tax profit. Capital gains taxes vary by jurisdiction and individual circumstances and should be considered separately when determining your final take-home profit.

What does a negative quantity mean in the chart?

The chart visualizes potential returns across different quantities. A negative "Net Profit/Loss" on the chart indicates that for a given quantity, the trade would have resulted in a loss. The chart helps understand the break-even point and profit potential.

How often should I use a trade return calculator?

Ideally, after every completed trade to maintain accurate records and performance analysis. Regularly reviewing your trade history using this tool helps identify patterns and areas for improvement.

What is considered a 'good' trade return percentage?

A 'good' return percentage is subjective and depends heavily on the asset class, market conditions, risk taken, and your investment goals. Generally, a higher percentage is better. Comparing your returns to relevant benchmarks (like market indices) or your initial goals provides context.

Can I use this for dividend stocks?

This calculator primarily focuses on capital gains/losses from buying and selling. If you want to factor in dividends received during the holding period, you would need to add those dividend amounts to the 'Total Revenue' or calculate them as a separate income stream.

Related Tools and Internal Resources

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"+" : "") + "$" + netProfit.toFixed(2); getElement("percentageReturn").textContent = (percentageReturn >= 0 ? "+" : "") + percentageReturn.toFixed(2) + "%"; var primaryResultElement = getElement("primaryResult"); primaryResultElement.textContent = (percentageReturn >= 0 ? "+" : "") + percentageReturn.toFixed(2) + "%"; if (netProfit >= 0) { primaryResultElement.style.color = "var(–success-color)"; } else { primaryResultElement.style.color = "red"; } updateChart(entryPrice, exitPrice, quantity, entryFee, exitFee); } function resetCalculator() { setInputValue("entryPrice", ""); setInputValue("exitPrice", ""); setInputValue("quantity", ""); setInputValue("entryFee", ""); setInputValue("exitFee", ""); getElement("totalCost").textContent = "–"; getElement("totalRevenue").textContent = "–"; getElement("netProfit").textContent = "–"; getElement("percentageReturn").textContent = "–"; getElement("primaryResult").textContent = "–"; getElement("primaryResult").style.color = "var(–text-color)"; clearErrors(); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var canvas = getElement("returnChart"); var ctx = canvas.getContext("2d"); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas } function copyResults() { var netProfit = getElement("netProfit").textContent; var percentageReturn = getElement("percentageReturn").textContent; var totalCost = getElement("totalCost").textContent; var totalRevenue = getElement("totalRevenue").textContent; var summary = "Trade Return Analysis:\n"; summary += "Net Profit/Loss: " + netProfit + "\n"; summary += "Return Percentage: " + percentageReturn + "\n"; summary += "Total Cost: " + totalCost + "\n"; summary += "Total Revenue: " + totalRevenue + "\n"; summary += "Primary Result (Return %): " + getElement("primaryResult").textContent; var tempTextArea = document.createElement("textarea"); tempTextArea.value = summary; document.body.appendChild(tempTextArea); tempTextArea.select(); try { document.execCommand("copy"); var feedback = getElement("copyFeedback"); feedback.style.display = 'inline'; setTimeout(function() { feedback.style.display = 'none'; }, 2000); } catch (err) { console.error("Failed to copy: ", err); alert("Failed to copy. Please copy manually."); } document.body.removeChild(tempTextArea); } function updateChart(entryPrice, exitPrice, baseQuantity, entryFee, exitFee) { var canvas = getElement("returnChart"); var ctx = canvas.getContext("2d"); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var quantities = []; var netProfits = []; var percentageReturns = []; var maxQuantity = baseQuantity * 2; // Extend chart range var step = Math.max(1, Math.round(maxQuantity / 10)); // Dynamic step size for (var q = step; q <= maxQuantity; q += step) { quantities.push(q); var currentNetProfit = ((exitPrice – entryPrice) * q) – (entryFee + exitFee); var currentTotalCost = (entryPrice * q) + entryFee; var currentPercentageReturn = (currentTotalCost === 0) ? 0 : (currentNetProfit / currentTotalCost) * 100; netProfits.push(currentNetProfit); percentageReturns.push(currentPercentageReturn); } // Configure chart size based on canvas dimensions var chartWidth = canvas.offsetWidth; var chartHeight = 300; // Fixed height, adjust as needed canvas.height = chartHeight; chartInstance = new Chart(ctx, { type: 'line', data: { labels: quantities.map(function(q) { return q.toString(); }), // Labels for x-axis datasets: [{ label: 'Net Profit/Loss ($)', data: netProfits, borderColor: 'rgb(75, 192, 192)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1 }, { label: 'Return Percentage (%)', data: percentageReturns, borderColor: 'rgb(255, 99, 132)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, yAxisID: 'y-axis-percentage' // Assign to the secondary y-axis }] }, options: { responsive: true, maintainAspectRatio: false, // Allow custom height width: chartWidth, height: chartHeight, scales: { x: { title: { display: true, text: 'Quantity Traded' } }, y: { title: { display: true, text: 'Net Profit/Loss ($)' }, beginAtZero: true }, 'y-axis-percentage': { type: 'linear', position: 'right', title: { display: true, text: 'Return Percentage (%)' }, grid: { drawOnChartArea: false, // only want the grid lines for one axis to show up }, ticks: { callback: function(value, index, values) { return value + '%'; } } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { if (context.dataset.label.includes('%')) { label += context.parsed.y.toFixed(2) + '%'; } else { label += '$' + context.parsed.y.toFixed(2); } } return label; } } } } } }); } // Basic Chart.js integration (ensure Chart.js library is loaded) // Since we cannot use external libraries, we will simulate a chart using basic canvas drawing or SVG. // For this example, let's use a placeholder for a native canvas chart. // A full native canvas chart requires significant code for drawing axes, labels, lines, etc. // For simplicity and adherence to constraints, a placeholder approach or simplified drawing is needed. // If Chart.js MUST be avoided and pure native canvas is required: // This would involve manually drawing lines, axes, labels using ctx.beginPath(), ctx.moveTo(), ctx.lineTo(), ctx.stroke(), ctx.fillText() etc. // This is a substantial amount of code and complexity for a real-time, dynamic chart. // As per instructions, avoiding external libraries like Chart.js. // The above 'updateChart' function uses a Chart.js-like structure. // If Chart.js is not available (which it isn't in this self-contained HTML), this part won't render. // A truly native canvas chart implementation would replace the Chart constructor call. // Let's provide a simplified native canvas drawing as an alternative, though it's less sophisticated. // **NOTE:** This native canvas implementation is illustrative and complex. For a production-ready, dynamic chart without libraries, significant effort is needed. // The Chart.js structure above is kept for clarity on data structure, but `new Chart(…)` needs replacement. // *** NATIVE CANVAS IMPLEMENTATION (REPLACE `new Chart(…)` ABOVE) *** // This is a simplified illustration. A production-ready version would be much more complex. function drawNativeChart(canvasId, quantities, netProfits, percentageReturns) { var canvas = getElement(canvasId); if (!canvas) return; var ctx = canvas.getContext("2d"); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas if (quantities.length === 0) return; // No data to draw var chartWidth = canvas.offsetWidth; var chartHeight = 300; canvas.height = chartHeight; var padding = 40; var chartAreaWidth = chartWidth – 2 * padding; var chartAreaHeight = chartHeight – 2 * padding; // Find min/max values for scaling var minNetProfit = Math.min.apply(null, netProfits); var maxNetProfit = Math.max.apply(null, netProfits); var minPerc = Math.min.apply(null, percentageReturns); var maxPerc = Math.max.apply(null, percentageReturns); // Adjust scale to include zero and provide some buffer var yMinNet = Math.min(0, minNetProfit) – Math.abs(minNetProfit * 0.1); var yMaxNet = Math.max(0, maxNetProfit) + Math.abs(maxNetProfit * 0.1); var yMinPerc = Math.min(0, minPerc) – Math.abs(minPerc * 0.1); var yMaxPerc = Math.max(0, maxPerc) + Math.abs(maxPerc * 0.1); // Scale y-axis for Net Profit var scaleNet = chartAreaHeight / (yMaxNet – yMinNet); function getYNet(value) { return chartHeight – padding – (value – yMinNet) * scaleNet; } // Scale y-axis for Percentage (secondary axis – this becomes complex without two canvases or careful drawing) // For simplicity, let's focus on one primary visualization or a dual-axis requires more intricate logic. // A pragmatic approach without external libraries often involves rendering two separate charts or simplifying the visualization. // Let's simplify and primarily show Net Profit/Loss on the main canvas. We can add percentage markers if feasible. // Draw axes ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; // Y-axis (Net Profit) ctx.beginPath(); ctx.moveTo(padding, padding); ctx.lineTo(padding, chartHeight – padding); ctx.stroke(); // X-axis ctx.beginPath(); ctx.moveTo(padding, chartHeight – padding); ctx.lineTo(chartWidth – padding, chartHeight – padding); ctx.stroke(); // Labels and Ticks (Simplified) ctx.fillStyle = '#333'; ctx.font = '12px Arial'; ctx.textAlign = 'center'; // X-axis labels (Quantities) var quantityStep = Math.max(1, Math.floor(quantities.length / 5)); // Show ~5 labels for (var i = 0; i < quantities.length; i++) { if (i % quantityStep === 0 || i === quantities.length – 1) { var xPos = padding + (chartAreaWidth * i / (quantities.length – 1)); ctx.fillText(quantities[i], xPos, chartHeight – padding + 15); ctx.beginPath(); ctx.moveTo(xPos, chartHeight – padding); ctx.lineTo(xPos, chartHeight – padding + 5); ctx.stroke(); } } // Y-axis labels (Net Profit) var yLabelCount = 5; for (var i = 0; i <= yLabelCount; i++) { var value = yMinNet + (yMaxNet – yMinNet) * (i / yLabelCount); var yPos = getYNet(value); ctx.textAlign = 'right'; ctx.fillText(value.toFixed(0), padding – 10, yPos + 4); ctx.beginPath(); ctx.moveTo(padding, yPos); ctx.lineTo(padding – 5, yPos); ctx.stroke(); } // Draw Data Lines (Net Profit) ctx.strokeStyle = 'rgb(75, 192, 192)'; ctx.lineWidth = 2; ctx.beginPath(); for (var i = 0; i < quantities.length; i++) { var xPos = padding + (chartAreaWidth * i / (quantities.length – 1)); var yPos = getYNet(netProfits[i]); if (i === 0) { ctx.moveTo(xPos, yPos); } else { ctx.lineTo(xPos, yPos); } } ctx.stroke(); // Add Title ctx.font = '16px Arial'; ctx.textAlign = 'center'; ctx.fillText('Trade Profitability Analysis', chartWidth / 2, padding – 10); } // Modify updateChart to use drawNativeChart function updateChart(entryPrice, exitPrice, baseQuantity, entryFee, exitFee) { var quantities = []; var netProfits = []; var percentageReturns = []; var maxQuantity = baseQuantity * 2; if (maxQuantity === 0) maxQuantity = 100; // Default if baseQuantity is 0 var step = Math.max(1, Math.round(maxQuantity / 10)); for (var q = step; q <= maxQuantity; q += step) { quantities.push(q); var currentNetProfit = ((exitPrice – entryPrice) * q) – (entryFee + exitFee); var currentTotalCost = (entryPrice * q) + entryFee; var currentPercentageReturn = (currentTotalCost === 0) ? 0 : (currentNetProfit / currentTotalCost) * 100; netProfits.push(currentNetProfit); percentageReturns.push(currentPercentageReturn); } // Instead of Chart.js, call the native canvas drawing function drawNativeChart("returnChart", quantities, netProfits, percentageReturns); } // Initial setup for the chart on page load if needed, or just rely on calculateReturn window.onload = function() { // You might want to draw an empty chart or default chart state here // For now, it updates only on calculation. var canvas = getElement("returnChart"); if(canvas) { canvas.width = canvas.offsetWidth; // Set canvas size based on its container canvas.height = 300; // Set a default height var ctx = canvas.getContext("2d"); ctx.fillStyle = "#ccc"; ctx.font = "16px Arial"; ctx.textAlign = "center"; ctx.fillText("Enter trade details and click Calculate to see the chart.", canvas.width / 2, canvas.height / 2); } }; // Add event listeners for real-time updates (optional, can be triggered by button) var inputs = document.querySelectorAll('.loan-calc-container input[type="number"], .loan-calc-container select'); inputs.forEach(function(input) { input.addEventListener('input', function() { // Optionally auto-calculate on input change, or rely on button click // calculateReturn(); }); }); // FAQ toggles var faqItems = document.querySelectorAll('.faq-list .faq-item strong'); faqItems.forEach(function(item) { item.addEventListener('click', function() { var faqContent = this.nextElementSibling; var faqParent = this.parentElement; if (faqContent.style.display === 'block') { faqContent.style.display = 'none'; faqParent.classList.remove('open'); } else { faqContent.style.display = 'block'; faqParent.classList.add('open'); } }); });

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