Market Trend Interpretation with AI

Data Overload Is the Real Estate Agent's Problem

Every month, you have access to dozens of market data points: median prices, days on market, inventory levels, absorption rates, price-per-square-foot trends, interest rate changes, new listings, pending sales, expired listings. The challenge is not data availability — it is interpretation and communication.

AI helps you transform raw numbers into stories that clients understand and act on.

The Market Health Dashboard Prompt

PROMPT TEMPLATE: Market Health Dashboard

I am a real estate agent analyzing the current market in
[city/neighborhood/zip code].

CURRENT MARKET DATA (most recent month):
- Median sale price: $[amount] (prior month: $[amount],
  same month last year: $[amount])
- Average days on market: [n] (prior month: [n], year ago: [n])
- Active listings (inventory): [n]
- New listings this month: [n]
- Closed sales this month: [n]
- Pending sales this month: [n]
- Months of supply: [n] (formula: active inventory / monthly
  closed sales)
- List-to-sale price ratio: [%]
- Expired/withdrawn listings: [n]
- Average price per sq ft: $[amount]
- Mortgage rate (30-year fixed): [%]

Please analyze:
1. MARKET DIRECTION: Is this a buyer's market (<4 months
   supply), balanced (4-6 months), or seller's market
   (>6 months)?