BA Comp Analysis

1908 Nolen Court - B, Unit B, Arlington, TX 76012 • 2BR/1.5BA • 1,156 sq ft

Property Type

Current: Not Set

Your Market Rent Estimate

Not set

No estimate set yet

Update Your Estimate:

Saving your estimate will automatically complete any pending "Run new comp analysis and update Market Rent Estimate" tasks.

No saved comp analysis yet. Click Generate Comps below to create your first analysis.

Full Transparency: Unlike "black box" AI algorithms, our method shows exactly how we calculate market rent estimates using proven real estate appraisal principles.

How Our Algorithm Works:

Comparable Analysis

We analyze similar rental properties from RentCast's database, focusing on location, size, property type, and recent rental activity.

Advanced Exponential Weighting

Each comparable gets a weight based on its correlation score using an exponential curve that heavily rewards excellent matches.

Excellent (≥90%): Exponential weight (correlation^1.5)
Good (70-89%): Standard weight (correlation)
Fair (50-69%): Reduced weight (correlation × 0.8)
Poor (<50%): Minimal weight (correlation × 0.6, min 0.2)

Weighted Average Calculation

We calculate a weighted average where more similar properties have greater influence on the final estimate.

Weighted Rent = Σ(Comparable Rent × Weight) ÷ Σ(Weights)

Quality-Based Calculation

Our algorithm adapts based on the quality of available comparables:

High Quality (>30% excellent): Pure weighted calculation
Low Quality (<30% excellent): Light blend (85% weighted, 15% simple average)

This maximizes accuracy when we have great comps, adds stability when we don't.

Dynamic Range Calculation

We calculate a smart confidence range that adapts to market conditions and comparable quality:

High Quality: Tighter range (5-8%)
Medium Quality: Standard range (8-12%)
Low Quality: Wider range (10-15%)
Market Adaptive: Adjusts based on comparable rent volatility

Why This Method Works:

Based on proven appraisal methods
Fully transparent process
Consistent results

Prevents estimate volatility
Uses local market data
Professional credibility