Real Estate Investment Analysis - Property Appreciation Estimator

 

Notes:

• What problem does it solve?
  This code estimates the property value appreciation over time based on an annual growth rate.

• How can businesses or users benefit from customizing the code?
  This can help users predict future property values based on different growth assumptions, assisting in long-term investment planning.

• How can businesses or users adopt the solution further, if needed?
  The model can be extended to include multiple properties, simulate market fluctuations, or integrate location-based data for more accuracy.

Actual Python Code:

class PropertyAppreciation:

    def __init__(self, initial_value, annual_growth_rate, years):

        self.initial_value = initial_value

        self.annual_growth_rate = annual_growth_rate

        self.years = years

    

    def estimated_value(self):

        return self.initial_value * ((1 + self.annual_growth_rate) ** self.years)

# Example usage

property_estimate = PropertyAppreciation(initial_value=400000, annual_growth_rate=0.05, years=10)

print(f"Estimated Property Value in 10 Years: ${property_estimate.estimated_value():.2f}")