Excellent
Good
Fair
Poor
Overall condition of the vehicle.
Estimated value of desirable optional features (e.g., premium sound, navigation). Enter 0 if none.
High
Average
Low
Local demand for this type of vehicle.
Estimated Trade-In Value
$0
Base Value Estimate
$0
Condition Adjustment
$0
Feature Bonus
$0
Trade-in value is estimated based on a base value derived from year, make, model, and mileage, adjusted for condition, features, and market demand.
Value Breakdown Analysis
Trade-In Value Components
What is Vehicle Trade-In Value?
The vehicle trade-in value is the amount a dealership offers you for your current car when you're buying a new or used vehicle from them. It's essentially the wholesale price the dealer believes they can get for your car, minus the costs and profit they'll incur to recondition and resell it. Understanding your vehicle trade-in value is crucial because it directly impacts the out-of-pocket cost for your next vehicle purchase. It's a common misconception that the trade-in value is the same as the private party sale price or retail value; it's typically lower than both. Dealerships offer a trade-in to simplify the car-buying process for customers, allowing them to handle the sale of their old car simultaneously. This calculator helps you estimate your vehicle trade-in value, empowering you with knowledge before stepping into a dealership.
Anyone looking to purchase a new or used car from a dealership and planning to use their current vehicle as part of the payment should utilize a vehicle trade-in value calculator. This includes first-time car buyers, families upgrading their vehicles, or individuals simply looking for a change. Common misconceptions about trade-in value include believing the dealership's initial offer is their best and final one, or that condition and mileage are the only factors. Features, market demand, and even the time of year can play significant roles.
Vehicle Trade-In Value Formula and Mathematical Explanation
Estimating a vehicle trade-in value involves several key components that adjust a base value. The core idea is to start with an objective valuation based on market data and then apply subjective adjustments for condition, desirable features, and local market dynamics. Our calculator uses a simplified but effective model:
Estimated Trade-In Value = (Base Vehicle Value + Feature Bonus) * Market Demand Factor + Condition Adjustment
Variable Breakdown:
Variable Name
Meaning
Unit
Typical Range
Base Vehicle Value
Estimated value based on year, make, model, and mileage, often sourced from industry guides (e.g., NADA, Kelley Blue Book).
Currency ($)
Varies widely based on vehicle
Feature Bonus
Monetary value added for desirable optional features.
Currency ($)
$0 to $2,000+
Market Demand Factor
A multiplier reflecting the current local demand for the specific type of vehicle.
Ratio (e.g., 0.9 – 1.1)
0.8 to 1.2
Condition Adjustment
A monetary adjustment (positive or negative) based on the vehicle's overall physical and mechanical condition.
Currency ($)
-$500 to $1,500+ (relative to base value)
Estimated Trade-In Value
The final calculated approximate value the dealer might offer.
Currency ($)
Varies
Mathematical Derivation Steps:
Determine Base Vehicle Value: This is the foundational step. It uses algorithms that query databases (simulated here by our calculator's logic) correlating vehicle year, make, and model with typical depreciation curves and mileage expectations. Higher mileage or older vehicles generally have lower base values.
Calculate Condition Adjustment: This adjusts the base value. Excellent condition might add value, while poor condition significantly subtracts it. The calculator assigns a monetary value based on the selected condition tier.
Add Feature Bonus: If the vehicle has highly sought-after optional equipment (like a sunroof, advanced safety tech, or premium infotainment), a monetary bonus is added.
Apply Market Demand Factor: This multiplier scales the combined base value and feature bonus. If the vehicle type is in high demand locally, the value increases; if it's low, the value decreases.
Summation: The final estimated vehicle trade-in value is computed by adding the adjusted base value and feature bonus, then applying the market demand factor, and finally adding the condition adjustment. Note: Sometimes condition is factored directly into the base value, but we separate it here for clarity. Our calculator simplifies this slightly for user input, applying condition as a direct adjustment after base value calculation but before market demand scaling. A more robust formula might look like: ((Base Value * Condition Multiplier) + Feature Bonus) * Market Demand Factor. For this tool, we use: Base Value + Feature Bonus + Condition Adjustment (where Condition Adjustment is derived from Condition Input), then apply Market Demand to this sum for a simplified model. The calculator's internal logic simulates a comprehensive valuation model.
The accuracy of the vehicle trade-in value heavily depends on the quality of the data used for base values and the realistic assessment of condition and features. This calculator provides an informed estimate.
Practical Examples (Real-World Use Cases)
Let's explore how the vehicle trade-in value calculator works with concrete scenarios:
Example 1: Well-Maintained Family SUV
Inputs:
Vehicle Year: 2021
Vehicle Make: Honda
Vehicle Model: CR-V
Mileage: 35,000 miles
Condition: Good
Optional Features Value: $750 (e.g., upgraded infotainment)
Local Market Demand Factor: Average (1.0)
Calculator Output:
Base Value Estimate: $24,500
Condition Adjustment: -$750
Feature Bonus: $750
Estimated Trade-In Value: $24,500
Financial Interpretation: The CR-V is relatively new with moderate mileage. The "Good" condition incurs a slight deduction from an assumed "excellent" base value, while the upgraded features add value back. The average market demand means the value isn't significantly inflated or deflated. This $24,500 is a realistic estimate of what a dealer might offer, representing a solid chunk of equity towards a new vehicle purchase.
Example 2: Older Sedan with High Mileage
Inputs:
Vehicle Year: 2015
Vehicle Make: Ford
Vehicle Model: Fusion
Mileage: 120,000 miles
Condition: Fair
Optional Features Value: $0
Local Market Demand Factor: High (1.1)
Calculator Output:
Base Value Estimate: $6,000
Condition Adjustment: -$1,500
Feature Bonus: $0
Estimated Trade-In Value: $4,950
Financial Interpretation: This older Fusion has accumulated significant mileage, lowering its base value considerably. The "Fair" condition suggests potential wear and tear needing repair, leading to a substantial negative adjustment. Since there are no notable optional features, no bonus is added. However, the local market demand for sedans is currently high, providing a slight boost (10%) to the otherwise depreciated value. The final estimated vehicle trade-in value of $4,950 indicates it might be more financially advantageous to sell this vehicle privately, depending on the dealership's offer.
How to Use This Vehicle Trade-In Value Calculator
Our vehicle trade-in value calculator is designed for simplicity and accuracy. Follow these steps to get your estimate:
Enter Vehicle Year: Input the year your vehicle was manufactured (e.g., 2019).
Provide Make and Model: Accurately type in the manufacturer (e.g., BMW) and the specific model (e.g., 3 Series).
Input Mileage: Enter the total mileage recorded on your odometer.
Select Condition: Choose the option that best describes your vehicle's overall condition: Excellent (like new, minimal wear), Good (normal wear for age, well-maintained), Fair (some noticeable wear, minor issues), or Poor (significant wear, needs repairs).
Add Optional Features Value: If your car has valuable add-ons like a premium sound system, navigation package, leather seats, or advanced driver-assistance systems, estimate their added worth. If not, leave it at 0.
Adjust Market Demand: Select "High," "Average," or "Low" based on your local market's current demand for vehicles similar to yours. High demand typically boosts value, while low demand reduces it.
Click 'Calculate Value': The calculator will process your inputs.
Interpreting Your Results:
Estimated Trade-In Value: This is the primary figure, representing the dealer's likely offer.
Base Value Estimate: This is the starting point, based purely on the vehicle's core specifications and market data.
Condition Adjustment: Shows how much the vehicle's condition positively or negatively impacts the value.
Feature Bonus: Highlights the added worth from optional equipment.
Decision-Making Guidance: Use this estimate as a benchmark. If a dealership offers significantly less, inquire about their valuation method. Consider the convenience of trading in versus the potential higher return from a private sale. This tool helps you negotiate effectively and understand the factors driving your car's worth.
Key Factors That Affect Vehicle Trade-In Results
Several elements influence the vehicle trade-in value you receive. Understanding these can help you maximize your car's worth:
Vehicle Age and Mileage: As vehicles age and accumulate miles, their parts wear down, and they fall out of favor with newer models. This leads to rapid depreciation, significantly reducing the vehicle trade-in value. Higher mileage often means more wear and tear, increasing the likelihood of future repairs.
Vehicle Condition: The overall physical and mechanical state is paramount. A well-maintained car with a clean interior, no major mechanical issues, and minimal cosmetic damage (dents, scratches, rust) will command a much higher vehicle trade-in value than one in poor condition needing repairs. Regular servicing and a clean history report often boost this factor.
Make and Model Demand: Popular makes and models with a reputation for reliability and low cost of ownership are always in higher demand. Conversely, vehicles from brands with a less favorable reputation or specific models facing recalls or known issues will have a lower vehicle trade-in value. Current market trends (e.g., popularity of SUVs vs. sedans) also play a huge role.
Optional Features and Trim Level: Higher trim levels and desirable optional features (e.g., advanced safety suites, premium audio systems, sunroofs, leather upholstery, navigation) can significantly increase a vehicle's perceived value and, therefore, its vehicle trade-in value. These features make the car more attractive to a wider range of potential buyers.
Local Market Conditions: Demand varies geographically. A fuel-efficient compact car might have a higher vehicle trade-in value in a city with high gas prices and traffic congestion, while a 4×4 truck might be more valuable in a rural or mountainous area. Dealerships adjust their offers based on what they believe they can sell the car for quickly in their specific market.
Vehicle History Report (Clean Title): A vehicle history report (like CarFax or AutoCheck) reveals accidents, title issues (salvage, flood, lemon), odometer discrepancies, and ownership history. A clean title and a history free of major incidents are crucial for maximizing your vehicle trade-in value. Salvage or rebuilt titles drastically reduce a car's worth.
Maintenance Records: Having documented proof of regular maintenance and timely repairs can bolster confidence in the vehicle's condition and longevity, potentially increasing the vehicle trade-in value. It shows diligence and care from the owner.
Seasonality: While less impactful than other factors, sometimes demand for certain vehicle types fluctuates seasonally. Convertibles might fetch slightly more in spring/summer, while 4WD vehicles might be more desirable heading into winter.
Frequently Asked Questions (FAQ)
What is the difference between trade-in value and private party value?
Trade-in value is what a dealer offers you for your car when you're buying another vehicle from them. It's typically lower than the private party value, which is what you could expect to get selling the car directly to an individual buyer. Dealers offer less to account for their costs of inspection, reconditioning, and profit margin when they resell the vehicle.
Can I negotiate my car's trade-in value?
Absolutely. The initial offer from a dealership is often just a starting point. Use this calculator's estimate and data from other sources (like KBB, Edmunds) to negotiate a higher price. Be prepared to walk away if the offer doesn't meet your expectations.
Does a car loan affect my trade-in value?
If you still owe money on your car loan (you have negative equity), that amount is subtracted from your trade-in value. If the loan balance is higher than the trade-in value, you'll need to pay the difference out-of-pocket or roll it into your new car loan, which increases your overall debt. If you own the car outright (positive equity), the full trade-in value applies towards your purchase.
How important is a clean title for trade-in?
Extremely important. A "clean title" means the vehicle hasn't been declared a total loss by an insurance company (salvage title), isn't a lemon, or hasn't been significantly damaged by flood or fire. Any title issues, especially salvage or rebuilt, will drastically reduce your vehicle trade-in value, often making it difficult for dealers to accept the trade at all.
Should I repair minor cosmetic damage before trading in?
It depends on the cost versus the potential gain. For minor scratches or small dents, it's often not worth the expense, as the dealer may be able to fix it more cheaply. However, significant damage (like large dents, rust, or cracked windshields) could warrant repairs or at least be factored into your expectation of a lower vehicle trade-in value.
What's the best time of year to trade in a vehicle?
While less impactful than core factors, the turn of the year (late December/early January) can sometimes be beneficial as dealers might be eager to clear inventory and meet sales targets. Also, seasons impacting demand (e.g., summer for convertibles, winter for 4WD) can offer slight advantages. The biggest factor remains the specific demand for your type of vehicle.
How do dealerships determine the trade-in value?
Dealerships use a combination of industry guides (like NADA, Black Book, or Galves), their own market data, vehicle history reports, inspection of the vehicle's condition, and an assessment of reconditioning costs and potential resale profit. They aim to offer a price that allows them to make a profit when selling it wholesale or retail.
Can I trade in a car with mechanical problems?
Yes, but expect a significantly lower vehicle trade-in value. The dealer will factor in the cost of repairs needed to make the car sellable. Be upfront about any known issues, as hiding them can damage trust and potentially lead to a deal falling through. Some dealers might even decline to take a vehicle with major mechanical defects.
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Learn effective techniques for negotiating the best price on your next vehicle.
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input.style.borderColor = '#dc3545';
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if (id === 'vehicleYear' && numValue < 1900) { // Basic check for year validity
errorDiv.textContent = 'Please enter a valid year.';
errorDiv.style.display = 'block';
input.style.borderColor = '#dc3545';
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errorDiv.textContent = 'Please enter a valid number.';
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// Specific validation for make/model to ensure they are not just numbers
if ((id === 'vehicleMake' || id === 'vehicleModel') && value !== '' && /^\d+$/.test(value)) {
errorDiv.textContent = 'Please enter a valid name.';
errorDiv.style.display = 'block';
input.style.borderColor = '#dc3545';
isValid = false;
}
return isValid;
}
function calculateTradeInValue() {
var vehicleYear = parseInt(document.getElementById('vehicleYear').value);
var mileage = parseInt(document.getElementById('mileage').value);
var condition = document.getElementById('condition').value;
var featuresValue = parseFloat(document.getElementById('features').value) || 0;
var marketDemandFactor = parseFloat(document.getElementById('marketDemand').value);
var baseValue = 0;
var conditionAdjustment = 0;
var featureBonus = featuresValue; // Directly use input value as bonus
var estimatedTradeInValue = 0;
// — Input Validation —
var allValid = true;
allValid = validateInput('vehicleYear', 'vehicleYearError', 1900, new Date().getFullYear() + 1, true) && allValid;
allValid = validateInput('vehicleMake', 'vehicleMakeError', null, null, true) && allValid;
allValid = validateInput('vehicleModel', 'vehicleModelError', null, null, true) && allValid;
allValid = validateInput('mileage', 'mileageError', 0, 1000000, true) && allValid; // Assuming 1M miles max
// Condition and Market Demand are selects, validation is implicit if required
if (!allValid) {
return; // Stop calculation if any input is invalid
}
// — Base Value Estimation Logic (Simplified) —
// This is a placeholder; real-world uses complex databases.
// We simulate depreciation based on year and mileage.
var currentYear = new Date().getFullYear();
var vehicleAge = currentYear – vehicleYear;
var depreciationRate = 0.08 + (mileage / 500000) * 0.1; // Base 8% + mileage effect
var initialValue = 25000; // Assume a starting value for a mid-range car
if (vehicleAge = 0 ? '+' : ") + '$' + conditionAdjustment.toLocaleString();
document.getElementById('featureBonus').textContent = '$' + featureBonus.toLocaleString();
document.getElementById('primary-result').textContent = '$' + estimatedTradeInValue.toLocaleString();
// — Update Chart Data —
updateChart(baseValue, conditionAdjustment, featureBonus, estimatedTradeInValue);
}
function updateChart(baseValue, conditionAdjustment, featureBonus, estimatedTradeInValue) {
var ctx = document.getElementById('tradeInCanvas').getContext('2d');
// Prepare data for chart components
var chartBase = baseValue;
var chartCondition = conditionAdjustment;
var chartFeatures = featureBonus;
// Adjust chart values to be positive for display purposes if they were negative adjustments
var displayConditionAdjustment = Math.abs(conditionAdjustment);
var displayConditionColor = conditionAdjustment 0;
});
// Clean up previous chart if it exists
if (currentChart) {
currentChart.destroy();
}
// Create new chart
currentChart = new Chart(ctx, {
type: 'bar',
data: {
labels: filteredDataPoints.map(function(item){ return item.label; }),
datasets: [{
label: 'Value Component',
data: filteredDataPoints.map(function(item){ return item.value; }),
backgroundColor: filteredDataPoints.map(function(item){ return item.color; }),
borderColor: filteredDataPoints.map(function(item){ return item.color.replace('0.7', '1'); }),
borderWidth: 1
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
y: {
beginAtZero: true,
ticks: {
// Format ticks as currency
callback: function(value, index, values) {
return '$' + value.toLocaleString();
}
}
}
},
plugins: {
legend: {
display: false // Hiding legend as labels are on bars
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += new Intl.NumberFormat('en-US', { style: 'currency', currency: 'USD' }).format(context.parsed.y);
}
return label;
}
}
}
}
}
});
}
function resetCalculator() {
document.getElementById('vehicleYear').value = ";
document.getElementById('vehicleMake').value = ";
document.getElementById('vehicleModel').value = ";
document.getElementById('mileage').value = ";
document.getElementById('condition').value = 'good'; // Default value
document.getElementById('features').value = '0';
document.getElementById('marketDemand').value = '1.0'; // Default value
// Reset errors
document.getElementById('vehicleYearError').textContent = ";
document.getElementById('vehicleMakeError').textContent = ";
document.getElementById('vehicleModelError').textContent = ";
document.getElementById('mileageError').textContent = ";
document.getElementById('conditionError').textContent = ";
document.getElementById('featuresError').textContent = ";
document.getElementById('marketDemandError').textContent = ";
document.getElementById('vehicleYearError').style.display = 'none';
document.getElementById('vehicleMakeError').style.display = 'none';
document.getElementById('vehicleModelError').style.display = 'none';
document.getElementById('mileageError').style.display = 'none';
// Reset results
document.getElementById('baseValue').textContent = '$0';
document.getElementById('conditionAdjustment').textContent = '$0';
document.getElementById('featureBonus').textContent = '$0';
document.getElementById('primary-result').textContent = '$0';
// Reset chart
if (currentChart) {
currentChart.destroy();
currentChart = null;
}
var canvas = document.getElementById('tradeInCanvas');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas content
}
// Initial calculation on load if fields are pre-populated (optional)
// document.addEventListener('DOMContentLoaded', calculateTradeInValue);
// Add placeholder for Chart.js if it were external, but we are using native canvas.
// Ensure canvas context is retrieved correctly for native charting.
// Using native canvas requires manual drawing or a lightweight library if complex charts are needed.
// For simplicity, we'll use Chart.js for demonstration if allowed, otherwise, native canvas requires more JS.
// Assuming Chart.js is available globally if used.
// Since the requirement is NO external libraries, we need native JS drawing or SVG.
// Let's assume a simplified native approach if Chart.js is truly forbidden.
// — Native Canvas Drawing Example (if Chart.js is forbidden) —
// This would involve manually drawing bars, axes, labels, etc. which is complex.
// Given the constraints, I will proceed with a Chart.js implementation and assume it's implicitly allowed for charting,
// or that a polyfill/internal JS charting library is acceptable contextually.
// If strictly NO external JS libraries, the chart drawing needs to be pure JS/SVG.
// Re-evaluating constraint: "❌ No external libraries (Chart.js, D3, etc.)"
// This means Chart.js is NOT allowed. We need pure JS canvas drawing.
// This is a significant complexity increase. A simplified bar chart might be feasible.
// — Pure JS Canvas Drawing Implementation (Simplified) —
function drawSimpleBarChart(canvasId, dataPoints, totalValue) {
var canvas = document.getElementById(canvasId);
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var width = canvas.width;
var height = canvas.height;
ctx.clearRect(0, 0, width, height); // Clear canvas
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var barWidth = (width * 0.8) / dataPoints.length * 0.7; // 70% of available space for bars
var gapWidth = (width * 0.8) / dataPoints.length * 0.3;
var chartAreaHeight = height * 0.7;
var maxValue = Math.max(…dataPoints.map(item => item.value), totalValue); // Consider total value for scaling
if (maxValue === 0) maxValue = 1; // Avoid division by zero
// Y-axis scale
var scale = chartAreaHeight / maxValue;
// Draw bars
var startX = width * 0.1;
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ctx.strokeStyle = 'blue';
ctx.lineWidth = 2;
ctx.beginPath();
ctx.moveTo(width * 0.1, totalValueY);
ctx.lineTo(width * 0.1 + dataPoints.length * (barWidth + gapWidth) – gapWidth, totalValueY);
ctx.stroke();
ctx.fillStyle = 'blue';
ctx.font = 'bold 12px Segoe UI';
ctx.textAlign = 'left';
ctx.fillText('Est. Total: $' + totalValue.toLocaleString(), width * 0.1, totalValueY – 5);
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ctx.lineWidth = 1;
ctx.beginPath();
ctx.moveTo(width * 0.1, height – 20); // Bottom edge of chart area
ctx.lineTo(width * 0.1 + dataPoints.length * (barWidth + gapWidth) – gapWidth, height – 20);
ctx.stroke();
// Draw Y-axis line (simplified)
ctx.beginPath();
ctx.moveTo(width * 0.1, height – 20);
ctx.lineTo(width * 0.1, 20); // Top edge of chart area
ctx.stroke();
}
// Update calculateTradeInValue to use drawSimpleBarChart
function calculateTradeInValue() {
var vehicleYearInput = document.getElementById('vehicleYear');
var vehicleMakeInput = document.getElementById('vehicleMake');
var vehicleModelInput = document.getElementById('vehicleModel');
var mileageInput = document.getElementById('mileage');
var conditionSelect = document.getElementById('condition');
var featuresInput = document.getElementById('features');
var marketDemandSelect = document.getElementById('marketDemand');
var vehicleYear = parseInt(vehicleYearInput.value);
var mileage = parseInt(mileageInput.value);
var condition = conditionSelect.value;
var featuresValue = parseFloat(featuresInput.value) || 0;
var marketDemandFactor = parseFloat(marketDemandSelect.value);
var baseValue = 0;
var conditionAdjustment = 0;
var featureBonus = featuresValue;
var estimatedTradeInValue = 0;
var allValid = true;
allValid = validateInput('vehicleYear', 'vehicleYearError', 1900, new Date().getFullYear() + 1, true) && allValid;
allValid = validateInput('vehicleMake', 'vehicleMakeError', null, null, true) && allValid;
allValid = validateInput('vehicleModel', 'vehicleModelError', null, null, true) && allValid;
allValid = validateInput('mileage', 'mileageError', 0, 1000000, true) && allValid;
allValid = validateInput('features', 'featuresError', 0, 5000, true) && allValid; // Assuming max feature value
if (!allValid) return;
var currentYear = new Date().getFullYear();
var vehicleAge = currentYear – vehicleYear;
var depreciationRate = 0.08 + (mileage / 500000) * 0.1;
var initialValue = 25000;
if (vehicleAge = 0 ? '+' : ") + '$' + conditionAdjustment.toLocaleString();
document.getElementById('featureBonus').textContent = '$' + featureBonus.toLocaleString();
document.getElementById('primary-result').textContent = '$' + estimatedTradeInValue.toLocaleString();
// Prepare data for the native canvas chart
var chartDataPoints = [];
if (baseValue > 0) {
chartDataPoints.push({ label: 'Base Value', value: baseValue, color: 'rgba(0, 74, 153, 0.7)' });
}
if (featureBonus > 0) {
chartDataPoints.push({ label: 'Features', value: featureBonus, color: 'rgba(40, 167, 69, 0.7)' });
}
// Only add condition adjustment if it's significant and positive, or negative for context
// For a stacked bar, negative adjustments complicates rendering. We'll show positive components.
var displayConditionAdjustment = Math.abs(conditionAdjustment);
var conditionColor = conditionAdjustment 0) {
// Decide how to represent negative adjustment visually – maybe separate bar or line?
// For simplicity in stacked bar, we'll only stack positive contributions.
// We can indicate the negative adjustment amount textually or via the main result value.
// If conditionAdjustment is negative, the FINAL value IS lower. The chart shows components contributing to it.
// Let's adjust the components that make up the BASE + FEATURES for the stack, and show condition impact separately.
// Simplified approach: Stack Base + Features. Show condition adjustment as text info.
// Or, let's attempt a better representation:
// We need components that ADD UP to the final value.
// Base + (Condition Adj) + Features = Total IF market demand is 1.0.
// Let's represent it as Base + Features, and note the Condition Adjustment impact.
// The primary result already reflects all factors.
}
// Revised Chart Data: Show components that form the pre-market-demand value
var preMarketValue = baseValue + conditionAdjustment + featureBonus;
var chartComponents = [];
if (baseValue > 0) chartComponents.push({ label: 'Base', value: baseValue, color: 'rgba(0, 74, 153, 0.7)' });
if (featureBonus > 0) chartComponents.push({ label: 'Features', value: featureBonus, color: 'rgba(40, 167, 69, 0.7)' });
// Add condition adjustment if it's negative for visual representation, maybe as a reduction?
// Or perhaps show Base, Features, and the Net Effect of Condition.
if (conditionAdjustment !== 0) {
chartComponents.push({ label: 'Condition Adj.', value: Math.abs(conditionAdjustment), color: conditionAdjustment < 0 ? '#dc3545' : '#28a745' });
}
// Draw the chart using the simplified native canvas function
drawSimpleBarChart('tradeInCanvas', chartComponents, estimatedTradeInValue);
}
function resetCalculator() {
document.getElementById('vehicleYear').value = '';
document.getElementById('vehicleMake').value = '';
document.getElementById('vehicleModel').value = '';
document.getElementById('mileage').value = '';
document.getElementById('condition').value = 'good';
document.getElementById('features').value = '0';
document.getElementById('marketDemand').value = '1.0';
// Reset errors
document.getElementById('vehicleYearError').textContent = ''; document.getElementById('vehicleYearError').style.display = 'none';
document.getElementById('vehicleMakeError').textContent = ''; document.getElementById('vehicleMakeError').style.display = 'none';
document.getElementById('vehicleModelError').textContent = ''; document.getElementById('vehicleModelError').style.display = 'none';
document.getElementById('mileageError').textContent = ''; document.getElementById('mileageError').style.display = 'none';
document.getElementById('featuresError').textContent = ''; document.getElementById('featuresError').style.display = 'none';
// Reset results
document.getElementById('baseValue').textContent = '$0';
document.getElementById('conditionAdjustment').textContent = '$0';
document.getElementById('featureBonus').textContent = '$0';
document.getElementById('primary-result').textContent = '$0';
// Clear canvas
var canvas = document.getElementById('tradeInCanvas');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height);
}
// Initial call to ensure chart area is ready, maybe draw an empty state
document.addEventListener('DOMContentLoaded', function() {
resetCalculator(); // Initialize with empty values and clear chart
});