Our latest average national error rate for the 3rd month forecast has been around 2%. However, our past performance is no guarantee of future results, and forecasts change as new data is inputted every month. Zipsmart.ai is also not able to predict black swan events that could significantly change forecasts. Zipsmart.ai makes no representation that the forecasts of home values will be achieved. Generally, the accuracy is better in more populated areas where more transactions occur. Please note that these forecasts are for informational purposes only and are not intended as financial or real estate advice. Always use the indicators below the graph to validate the machine learning forecast.

Zipsmart will notify you if a ZIP Code is an outlier. We will be adding this feature on the county level as well. You can also validate the forecast by paying attention to the colors of the five indicators below. For example, if forecasts are going up and the indicators below are red then rely less on the forecast and more on the indicators.

dev@zipsmart.ai or join YouTube community of zipsmart.ai or contact our founder Arvin.

Hey there! At ZipSmart.ai, we take making smarter real estate decisions seriously, because we know how expensive real estate mistakes can be - it's the biggest problem in residential real estate. We offer our services at a fraction of the cost of what commercial real estate dashboards charge ($500/month) because we're really committed to eliminating buyer and seller remorse in real estate for everyone. By subscribing, not only you are helping us keep prices low for everyone, but you're also supporting our efforts to significantly improve the user interface and add a lot more AI tools. And to thank you for that we guarantee your super low rate for as long as you stay with us. So we're sorry to see you go, but if you decide to cancel your subscription, here's what you need to know before you cancel.

To Cancel go to the setting tab and you will find the cancelation option on the left hand side, please note that :  
No Refunds: We do not provide refunds for any unused portions of your subscription, including if you cancel your subscription before the end of the billing cycle.

Account Access: Once your subscription is canceled, you will no longer have access to your account, and any data or information associated with your account will be permanently deleted.

The subscription price will increase once we transition to a 100% web based solution and the current pricing will no longer be available

Changes to the Cancellation Policy: We reserve the right to modify this cancellation policy at any time, and any changes will be effective immediately upon posting to our website.

If you have any questions or concerns about this policy or how to cancel your subscription, please don't hesitate to contact us at dev@zipsmart.ai

You are still welcome to attend one of our live streams with any real estate questions you might have, like the forecast for your zip code or questions about a property you plan to purchase or sell.
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https://www.youtube.com/channel/UCPIeusZUVcsxTPPsp6Mkltg

The typical home value for a region. Source (Zillow / ZHVI: ZHVI ).

The Zipsmart.AI proprietary forecast.

Active Listing Count Y/Y Source. (realtor.com)

The change in the number of homes in escrow when compared to the same time last year- lower the amount of escrows bring prices lower

The percentage change in the median listing price from the previous month. (REALTOR.COM)

A smoothed measure of the typical observed market rate rent across a given region. Source Zillow/ZORI

This ratio compares the median household price to the median household income, the lower the number the more affordable an area is

The percentage of individuals who are out of work, with high unemployment levels affecting both supply and demand. Job loss can lead to an increase in homes for sale and a decrease in demand due to decreased buying power.

The likelihood that the Fed will change the Federal target rate at upcoming FOMC meetings, according to interest rate traders, This metric uses the probabilities of changes to the Fed rate and U.S. monetary policy, as implied by 30-Day Fed Funds futures pricing data. ( Source CME FedWatch Tool).

The percentage change of buyers purchasing power due to the changes in the mortgage rates from 2021 when mortgage rates were 3%.

Percentage of individuals with bachelor degree and Graduate degree from the population of people aged 25 years and over. (Source BLS).

The ratio of recorded felonies and misdemeanors to the population, with high crime rates often leading to a decrease in home prices.

The likelihood that the Fed will change the Federal target rate, according to interest rate traders as implied by 30-Day Fed Funds futures pricing data. Higher rates lower demand for homes as people can no longer afford to purchase. But also it could lower supply as people with low rate mortgages are less incentivized to sell and purchase another property.

Percentage of homes that are owned by individuals that claim the residence as their primary residence. Areas with higher occupancy are more desired than areas with lower occupancy rates. It's common knowledge that people who live in the homes they own, take better care of their properties, do more improvements and keep the neighborhood cleaner.

The percentage change of buyers purchasing power due to the changes in the mortgage rates from 2021 when mortgage rates were 3%. Reflects the change in a buyer's purchasing power due to fluctuations in mortgage rates, with higher rates reducing affordability and demand for homes.

The percentage of individuals with a bachelor's or graduate degree in a given population, often associated with faster growth in home prices in a metropolitan area. However, during economic downturns, tech industry layoffs can lead to a higher rate decrease in home prices, as it normally causes all the other industries to also layoff workers.

The monthly change in the median listing price, serving as an indicator of seller sentiment. If sellers are listing at lower prices, it may suggest they anticipate a decrease in home values."