Years of price data compared against income growth, in under ten minutes. An AI coding agent flags every data issue, waits for your approval before fixing it, and ships an insights document plus a presentation when it's done.
A monthly property price index stretching back to a prior cycle peak, and an annual per-capita income series for the same country.
The agent returns clarifying questions and a structured plan: which periods to compare, which ratios to compute, which charts to produce.
Missing months, outlier price points, and index methodology changes each get flagged with a proposed fix. Nothing gets cleaned without your yes.
A clean divergence chart, the years where prices ran furthest ahead of income, and a plain-English takeaway on where selectivity matters most.
I am analyzing property price growth relative to per capita income growth in [market], comparing pricing today against the [prior cycle peak year]. I am attaching historical price data and income data. Please ask clarifying questions.
A rebase or basket change mid-series will skew any cycle comparison unless segments are properly aligned.
If the flagged years match what you recall happening in the market, the analysis is anchored. If not, ask the agent to recheck the segment.
The comparison shows where prices have run ahead of incomes. What a client does with that is still their call, informed by more than one chart.