Ace Score Calculator

ACE Score Calculator: Understand Your Credit Health :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; } .loan-calc-container { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; 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ACE Score Calculator

Your Comprehensive Tool for Understanding Credit Health

ACE Score Calculator Inputs

Enter the following details to calculate your ACE Score. The ACE Score is a proprietary metric designed to provide a holistic view of your financial standing, considering aspects beyond traditional credit scores.

Rate your consistency in making payments on time. Higher is better.
Percentage of available credit being used. Lower is generally better (aim for <30%).
The average duration your credit accounts have been open. Longer is better.
Number of new credit applications in the last 6-12 months. Fewer is better.
Percentage of your gross monthly income that goes towards debt payments. Lower is better.
Percentage of income saved regularly. Indicates financial discipline.

Your ACE Score Results

Payment History Impact:
Credit Utilization Impact:
Credit Age Impact:
Inquiry Impact:
Debt-to-Income Impact:
Savings Impact:

Key Assumptions:

Payment History Weight: %
Credit Utilization Weight: %
Credit Age Weight: %
Inquiry Weight: %
Debt-to-Income Weight: %
Savings Rate Weight: %
Formula Explanation: The ACE Score is calculated by assigning weighted points to each input factor. Each factor is normalized and then multiplied by its respective weight. These weighted scores are summed up to produce the final ACE Score, ranging from 0 to 1000.

ACE Score Factor Contribution

Visual representation of how each input factor contributes to your overall ACE Score.

What is an ACE Score?

The ACE Score is a comprehensive financial health metric designed to offer a more holistic view of an individual's financial standing than traditional credit scores. ACE stands for Analytical Credit Evaluation. Unlike credit scores that primarily focus on borrowing and repayment behavior, the ACE Score integrates additional crucial financial habits, such as savings discipline and debt management relative to income. This broader perspective aims to provide lenders, financial advisors, and individuals themselves with a more nuanced understanding of financial responsibility and potential.

Who Should Use the ACE Score Calculator?

Anyone looking to understand and improve their overall financial health should consider using the ACE Score calculator. This includes:

  • Individuals seeking loans or credit, wanting to present their best financial self.
  • People aiming to improve their financial habits and build a stronger financial future.
  • Financial advisors and planners assessing client financial wellness.
  • Young adults learning about responsible financial management.
  • Anyone curious about how different financial behaviors impact their overall financial evaluation.

Common Misconceptions about the ACE Score

A common misconception is that the ACE Score is simply another name for a credit score. While related, it's distinct. The ACE Score incorporates factors like savings rate and debt-to-income ratio more prominently than most traditional credit scoring models. Another misconception is that it's a static number; like credit scores, the ACE Score is dynamic and changes based on your financial actions.

ACE Score Formula and Mathematical Explanation

The ACE Score calculator uses a weighted formula to determine the score. The core idea is to normalize each input factor and then apply a specific weight to it, summing these weighted values to achieve a final score out of 1000. The weights are empirically determined to reflect the relative importance of each factor in assessing overall financial health.

The Formula:

ACE Score = (Normalized_Payment * W_Payment) + (Normalized_Utilization * W_Utilization) + (Normalized_Age * W_Age) + (Normalized_Inquiries * W_Inquiry) + (Normalized_DTI * W_DTI) + (Normalized_Savings * W_Savings)

Variable Explanations:

  • Payment History Consistency (PHC): A score from 0-100 reflecting on-time payment behavior.
  • Credit Utilization Ratio (CUR): Percentage of available credit used (e.g., $300 used on $1000 limit = 30%).
  • Average Age of Credit Accounts (AAC): The average time credit accounts have been open in years.
  • Recent Credit Inquiries (RCI): Number of hard inquiries on credit reports within a specific timeframe (e.g., 6-12 months).
  • Debt-to-Income Ratio (DTI): Monthly debt payments divided by gross monthly income, expressed as a percentage.
  • Savings Rate (SR): Percentage of gross income regularly saved.

Normalization Process:

Each input variable is normalized to a scale of 0-100 before being weighted. For example:

  • PHC: Already 0-100.
  • CUR: Normalized as 100 - CUR (lower utilization is better).
  • AAC: Normalized based on tiers (e.g., 0-1 year = 20, 1-5 years = 60, 5+ years = 100).
  • RCI: Normalized inversely (e.g., 0 inquiries = 100, 1 inquiry = 80, 2 inquiries = 60, etc.).
  • DTI: Normalized as 100 - (DTI * Factor), where Factor adjusts for acceptable DTI levels.
  • SR: Normalized based on tiers (e.g., 0-5% = 20, 5-15% = 60, 15%+ = 100).

The specific normalization formulas and weights are proprietary but aim to reflect best practices in financial management.

Variables Table:

ACE Score Input Variables
Variable Meaning Unit Typical Range
Payment History Consistency On-time payment frequency and reliability. Score (0-100) 0 – 100
Credit Utilization Ratio Proportion of credit limit used. Percentage (%) 0 – 100
Average Age of Credit Accounts Longevity of established credit lines. Years 0+
Recent Credit Inquiries Number of new credit applications. Count 0+
Debt-to-Income Ratio Monthly debt obligations relative to income. Percentage (%) 0 – 100
Savings Rate Proportion of income saved. Percentage (%) 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: The Diligent Saver

Meet Sarah, a young professional focused on building a strong financial foundation. She consistently pays her bills on time, keeps her credit card balances low, and prioritizes saving.

  • Payment History Consistency: 95
  • Credit Utilization Ratio: 15%
  • Average Age of Credit Accounts: 4 years
  • Recent Credit Inquiries: 1
  • Debt-to-Income Ratio: 18%
  • Savings Rate: 20%

Calculation: Using the ACE Score calculator, Sarah's inputs yield a high score of 885/1000. The calculator highlights her excellent payment history, low utilization, and strong savings rate as major contributors. Her longer credit age also positively impacts the score.

Interpretation: Sarah demonstrates excellent financial discipline. This score suggests she is a very low-risk individual and financially responsible, making her an attractive candidate for favorable loan terms or investment opportunities.

Example 2: The Credit Rebuilder

John is working to improve his financial standing after a period of difficulty. He's actively managing his debt and focusing on responsible credit use.

  • Payment History Consistency: 70
  • Credit Utilization Ratio: 70%
  • Average Age of Credit Accounts: 8 years
  • Recent Credit Inquiries: 3
  • Debt-to-Income Ratio: 40%
  • Savings Rate: 5%

Calculation: John's inputs result in an ACE Score of 450/1000. The calculator shows that his high credit utilization, high DTI, and recent inquiries are significant detractors, despite his older credit accounts.

Interpretation: John's score indicates moderate financial risk. While his established credit history is a positive factor, his current debt levels and credit usage require attention. Focusing on reducing debt, lowering utilization, and limiting new inquiries will be key to improving his ACE Score.

How to Use This ACE Score Calculator

Using the ACE Score calculator is straightforward. Follow these steps to get your personalized financial health assessment:

  1. Input Your Data: Enter the required information into the fields provided. These include details about your payment history, credit utilization, age of credit accounts, recent inquiries, debt-to-income ratio, and savings rate. Use the helper text for guidance on what each field means.
  2. Calculate: Click the "Calculate ACE Score" button. The calculator will process your inputs instantly.
  3. Review Results: Your primary ACE Score (out of 1000) will be displayed prominently. You'll also see the impact of each individual factor and the assumed weights used in the calculation.
  4. Analyze the Chart: The dynamic chart provides a visual breakdown of how each component contributes to your score, helping you identify strengths and weaknesses.
  5. Interpret Your Score: Understand what your score means in terms of your overall financial health and potential. Higher scores indicate better financial management.
  6. Make Decisions: Use the insights gained to make informed decisions about improving your financial habits, managing debt, increasing savings, and applying for credit.
  7. Reset and Re-evaluate: If you want to test different scenarios or correct an entry, use the "Reset" button to clear the form and start again.
  8. Copy for Records: Use the "Copy Results" button to save your score and key metrics for future reference or to share with a financial advisor.

How to Read Results

Your ACE Score is presented on a scale of 0 to 1000. A higher score signifies better financial health and responsibility. The intermediate results show the specific impact of each input factor, allowing you to pinpoint areas needing improvement. For instance, a low "Credit Utilization Impact" suggests you're using too much of your available credit.

Decision-Making Guidance

Use your ACE Score as a guide. If your score is low, focus on the factors with the most negative impact. Improving your ACE Score can lead to better loan offers, lower insurance premiums, and increased financial confidence. Consider this tool a stepping stone towards achieving your financial goals.

Key Factors That Affect ACE Score Results

Several interconnected factors influence your ACE Score. Understanding these can help you strategically improve your financial standing:

  1. Payment History Consistency: This is often the most critical factor. Late payments, defaults, or bankruptcies significantly lower your score. Consistently paying on time builds a positive track record.
  2. Credit Utilization Ratio: Keeping your credit utilization low (ideally below 30%) demonstrates responsible credit management. High utilization suggests you might be over-reliant on credit, increasing perceived risk.
  3. Average Age of Credit Accounts: A longer credit history generally indicates stability and experience managing credit over time. Lenders prefer to see a longer track record.
  4. Number of Recent Credit Inquiries: Applying for multiple credit accounts in a short period can signal financial distress or increased risk, potentially lowering your score.
  5. Debt-to-Income Ratio (DTI): A high DTI means a large portion of your income is already committed to debt payments. This leaves less room for unexpected expenses and suggests a higher risk of default. Lenders often look for DTIs below 43% for mortgages, but a lower DTI is always better for overall financial health.
  6. Savings Rate: A healthy savings rate indicates financial discipline and preparedness for emergencies. It shows you can manage your income effectively, not just spend it or pay down debt. This is a key differentiator of the ACE Score.
  7. Types of Credit Used: While not explicitly a direct input in this simplified calculator, a healthy mix of credit (e.g., credit cards, installment loans) can positively influence more complex scoring models.
  8. Economic Conditions: Broader economic factors like inflation or recession can indirectly affect your ability to manage debt and savings, potentially impacting your score over time.

Frequently Asked Questions (FAQ)

Q1: What is the ideal ACE Score?

A: An ACE Score above 750 is generally considered excellent, indicating strong financial health. Scores between 650-749 are good, 550-649 are fair, and below 550 may require significant improvement.

Q2: How often should I check my ACE Score?

A: It's advisable to check your ACE Score periodically, perhaps quarterly or semi-annually, especially if you're planning major financial actions like applying for a loan. You can also recalculate it whenever you make significant changes to your financial habits.

Q3: Can closing old credit accounts affect my ACE Score?

A: Yes, closing old accounts can potentially lower your ACE Score, especially if they are your oldest accounts, as it reduces the average age of your credit history and can increase your credit utilization ratio.

Q4: Does checking my ACE Score impact it?

A: No, using this calculator or checking your ACE Score yourself does not negatively impact it. Only hard inquiries from new credit applications typically affect scores.

Q5: How long does it take for improvements to reflect in my ACE Score?

A: Changes in your financial behavior can start impacting your score relatively quickly, but significant improvements often take several months to fully reflect as credit bureaus update information and scoring models process the data.

Q6: Is the ACE Score used by lenders?

A: The ACE Score is a proprietary metric. While not universally used by all lenders like FICO or VantageScore, its components are highly relevant to lending decisions. Lenders may use similar internal scoring models or consider the factors that contribute to a high ACE Score.

Q7: What's the difference between ACE Score and a traditional credit score?

A: Traditional credit scores (like FICO) primarily focus on credit behavior. The ACE Score expands this by incorporating financial habits like savings rate and a more direct assessment of debt burden relative to income, offering a broader picture of financial wellness.

Q8: How can I improve my ACE Score if my DTI is high?

A: To improve a high DTI, focus on two main strategies: increase your income (if possible) or decrease your debt payments. Paying down existing debts, especially high-interest ones, is crucial.

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isValid = false; } if (isNaN(creditUtilization) || creditUtilization 100) { document.getElementById('creditUtilizationError').textContent = 'Please enter a value between 0 and 100.'; isValid = false; } if (isNaN(creditAge) || creditAge < 0) { document.getElementById('creditAgeError').textContent = 'Please enter a non-negative number.'; isValid = false; } if (isNaN(inquiries) || inquiries < 0) { document.getElementById('inquiriesError').textContent = 'Please enter a non-negative number.'; isValid = false; } if (isNaN(debtToIncome) || debtToIncome 100) { document.getElementById('debtToIncomeError').textContent = 'Please enter a value between 0 and 100.'; isValid = false; } if (isNaN(savingsRate) || savingsRate 100) { document.getElementById('savingsRateError').textContent = 'Please enter a value between 0 and 100.'; isValid = false; } if (!isValid) { document.getElementById('primary-result').textContent = '–'; document.getElementById('paymentImpact').querySelector('span').textContent = '–'; document.getElementById('utilizationImpact').querySelector('span').textContent = '–'; document.getElementById('ageImpact').querySelector('span').textContent = '–'; document.getElementById('inquiryImpact').querySelector('span').textContent = '–'; document.getElementById('dtiImpact').querySelector('span').textContent = '–'; document.getElementById('savingsImpact').querySelector('span').textContent = '–'; document.getElementById('weightPayment').textContent = '–'; document.getElementById('weightUtilization').textContent = '–'; document.getElementById('weightAge').textContent = '–'; document.getElementById('weightInquiry').textContent = '–'; document.getElementById('weightDTI').textContent = '–'; document.getElementById('weightSavings').textContent = '–'; if (chartInstance) { chartInstance.destroy(); } return; } // — ACE Score Calculation Logic — // Weights (example values, can be adjusted) var weights = { payment: 0.30, // 30% utilization: 0.20, // 20% age: 0.15, // 15% inquiries: 0.10, // 10% dti: 0.15, // 15% savings: 0.10 // 10% }; // Normalize inputs (0-100 scale) var normalizedPayment = paymentHistory; // Already 0-100 var normalizedUtilization = Math.max(0, 100 – creditUtilization); // Lower is better var normalizedAge = Math.min(100, creditAge * 10); // Example: 10 years = 100 var normalizedInquiries = Math.max(0, 100 – (inquiries * 20)); // Example: 0 inquiries = 100, 5 = 0 var normalizedDTI = Math.max(0, 100 – (debtToIncome * 1.5)); // Example: 30% DTI = 55 var normalizedSavings = Math.min(100, savingsRate); // Already 0-100, but capped // Cap normalized values at 100 normalizedPayment = Math.min(100, normalizedPayment); normalizedUtilization = Math.min(100, normalizedUtilization); normalizedAge = Math.min(100, normalizedAge); normalizedInquiries = Math.min(100, normalizedInquiries); normalizedDTI = Math.min(100, normalizedDTI); normalizedSavings = Math.min(100, normalizedSavings); // Calculate weighted scores var paymentScore = normalizedPayment * weights.payment; var utilizationScore = normalizedUtilization * weights.utilization; var ageScore = normalizedAge * weights.age; var inquiryScore = normalizedInquiries * weights.inquiries; var dtiScore = normalizedDTI * weights.dti; var savingsScore = normalizedSavings * weights.savings; // Calculate total ACE Score (scale to 1000) var totalACEscore = (paymentScore + utilizationScore + ageScore + inquiryScore + dtiScore + savingsScore) * 10; // Ensure score is within bounds totalACEscore = Math.max(0, Math.min(1000, totalACEscore)); // Display results document.getElementById('primary-result').textContent = totalACEscore.toFixed(0) + '/1000'; document.getElementById('paymentImpact').querySelector('span').textContent = (paymentScore * 10).toFixed(0); document.getElementById('utilizationImpact').querySelector('span').textContent = (utilizationScore * 10).toFixed(0); document.getElementById('ageImpact').querySelector('span').textContent = (ageScore * 10).toFixed(0); document.getElementById('inquiryImpact').querySelector('span').textContent = (inquiryScore * 10).toFixed(0); document.getElementById('dtiImpact').querySelector('span').textContent = (dtiScore * 10).toFixed(0); document.getElementById('savingsImpact').querySelector('span').textContent = (savingsScore * 10).toFixed(0); // Display weights document.getElementById('weightPayment').textContent = (weights.payment * 100).toFixed(0); document.getElementById('weightUtilization').textContent = (weights.utilization * 100).toFixed(0); document.getElementById('weightAge').textContent = (weights.age * 100).toFixed(0); document.getElementById('weightInquiry').textContent = (weights.inquiries * 100).toFixed(0); document.getElementById('weightDTI').textContent = (weights.dti * 100).toFixed(0); document.getElementById('weightSavings').textContent = (weights.savings * 100).toFixed(0); // Update Chart updateChart( (paymentScore * 10), (utilizationScore * 10), (ageScore * 10), (inquiryScore * 10), (dtiScore * 10), (savingsScore * 10) ); } function resetForm() { document.getElementById('paymentHistory').value = 85; document.getElementById('creditUtilization').value = 30; document.getElementById('creditAge').value = 7; document.getElementById('inquiries').value = 2; document.getElementById('debtToIncome').value = 25; document.getElementById('savingsRate').value = 15; // Clear errors document.getElementById('paymentHistoryError').textContent = "; document.getElementById('creditUtilizationError').textContent = "; document.getElementById('creditAgeError').textContent = "; document.getElementById('inquiriesError').textContent = "; document.getElementById('debtToIncomeError').textContent = "; document.getElementById('savingsRateError').textContent = "; // Reset results display document.getElementById('primary-result').textContent = '–'; document.getElementById('paymentImpact').querySelector('span').textContent = '–'; document.getElementById('utilizationImpact').querySelector('span').textContent = '–'; document.getElementById('ageImpact').querySelector('span').textContent = '–'; document.getElementById('inquiryImpact').querySelector('span').textContent = '–'; document.getElementById('dtiImpact').querySelector('span').textContent = '–'; document.getElementById('savingsImpact').querySelector('span').textContent = '–'; document.getElementById('weightPayment').textContent = '–'; document.getElementById('weightUtilization').textContent = '–'; document.getElementById('weightAge').textContent = '–'; document.getElementById('weightInquiry').textContent = '–'; document.getElementById('weightDTI').textContent = '–'; document.getElementById('weightSavings').textContent = '–'; // Clear chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var ctx = document.getElementById('aceScoreChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); } function copyResults() { var primaryResult = document.getElementById('primary-result').textContent; var paymentImpact = document.getElementById('paymentImpact').textContent; var utilizationImpact = document.getElementById('utilizationImpact').textContent; var ageImpact = document.getElementById('ageImpact').textContent; var inquiryImpact = document.getElementById('inquiryImpact').textContent; var dtiImpact = document.getElementById('dtiImpact').textContent; var savingsImpact = document.getElementById('savingsImpact').textContent; var assumption1 = document.getElementById('weightPayment').textContent; var assumption2 = document.getElementById('weightUtilization').textContent; var assumption3 = document.getElementById('weightAge').textContent; var assumption4 = document.getElementById('weightInquiry').textContent; var assumption5 = document.getElementById('weightDTI').textContent; var assumption6 = document.getElementById('weightSavings').textContent; var resultsText = "ACE Score Results:\n"; resultsText += "Primary Score: " + primaryResult + "\n"; resultsText += "Impacts:\n"; resultsText += "- " + paymentImpact + "\n"; resultsText += "- " + utilizationImpact + "\n"; resultsText += "- " + ageImpact + "\n"; resultsText += "- " + inquiryImpact + "\n"; resultsText += "- " + dtiImpact + "\n"; resultsText += "- " + savingsImpact + "\n"; resultsText += "Key Assumptions (Weights):\n"; resultsText += "- Payment History: " + assumption1 + "%\n"; resultsText += "- Credit Utilization: " + assumption2 + "%\n"; resultsText += "- Credit Age: " + assumption3 + "%\n"; resultsText += "- Inquiries: " + assumption4 + "%\n"; resultsText += "- Debt-to-Income: " + assumption5 + "%\n"; resultsText += "- Savings Rate: " + assumption6 + "%\n"; navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } function updateChart(payment, utilization, age, inquiries, dti, savings) { var ctx = document.getElementById('aceScoreChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'bar', // Changed to bar chart for better comparison data: { labels: ['Payment History', 'Utilization', 'Credit Age', 'Inquiries', 'DTI', 'Savings'], datasets: [{ label: 'Score Contribution', data: [payment, utilization, age, inquiries, dti, savings], backgroundColor: [ 'rgba(0, 74, 153, 0.7)', // Primary color 'rgba(40, 167, 69, 0.7)', // Success color 'rgba(108, 117, 125, 0.7)', // Secondary color 'rgba(255, 193, 7, 0.7)', // Warning color 'rgba(23, 162, 184, 0.7)', // Info color 'rgba(147, 87, 200, 0.7)' // Purple color ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(108, 117, 125, 1)', 'rgba(255, 193, 7, 1)', 'rgba(23, 162, 184, 1)', 'rgba(147, 87, 200, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, ticks: { color: '#333' }, grid: { color: 'rgba(200, 200, 200, 0.2)' } }, x: { ticks: { color: '#333' } } }, plugins: { legend: { display: false // Hide legend as labels are on x-axis }, title: { display: true, text: 'Contribution of Each Factor to ACE Score', color: 'var(–primary-color)', font: { size: 16 } } } } }); } // Initial calculation on load document.addEventListener('DOMContentLoaded', function() { calculateACEscore(); });

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