Hotspotting-Driven Growth Engine

The Growth Engine identifies future capital growth suburbs using Tim Graham's Hotspotting research as the primary classification layer. Each suburb is assigned a Hotspotting Band (Best Buy, Hot, or Rising) based on Tim's analysis of sales transaction data, infrastructure investment, and market dynamics across Australian LGAs.

The system is designed for standalone houses priced under $1M, targeting suburbs with strong fundamentals for buyers agents and investors seeking capital appreciation over a 3-7 year horizon.

Hotspotting Band Classification

The primary suburb classification comes directly from Hotspotting's research reports and Property Performance Indicator (PPI) data:

Hotspotting Metrics

Each suburb displays the raw metrics from Tim's Thermometer spreadsheet - no derived scores or external logic:

Metric	Description	Source
Median Price	Median house sale price	Hotspotting Thermometer
DSR	Demand-to-Supply Ratio - buyer demand relative to available stock	Hotspotting Thermometer
Inv Months	Months of inventory at current sales rate	Hotspotting Thermometer
12m Growth	Annual median price change	Hotspotting Thermometer
3m Growth	Quarterly median price change	Hotspotting Thermometer
5yr Growth	Average annual growth over 5 years	WT Capital Custom Extract
Rental Yield	Gross rental yield	Hotspotting Thermometer
Vacancy	Rental vacancy rate	Hotspotting Thermometer
DOM	Average days on market	Hotspotting Thermometer
Sold>Ask%	Percentage of sales above asking price	Hotspotting Thermometer
V.Disc%	Average vendor discount from asking price	Hotspotting Thermometer
Sales Vol	Number of sales in last 12 months	Hotspotting Thermometer
EMPIRICAL	Pass/fail flag from Hotspotting's empirical test	Hotspotting Thermometer
PPI	Property Performance Indicator - Rising, Consistent, Plateau, Recovery, Declining	Hotspotting Thermometer

Data Sources

All suburb data is sourced directly from Tim Graham's Hotspotting reports:

Hotspotting Thermometer v2.0 - 532 house suburbs nationally, scored and classified into bands (Hot, Rising, Neutral, Cooling, Cold) with 18 metrics per suburb. The primary and authoritative data source for all dashboard values.

WT Capital Custom Extract - curated shortlist of 70 house suburbs with postcodes and 5-year average annual growth data.

National Top 10 Best Buys - Tim's curated top picks across 4 LGAs (28 suburbs) with key drivers, infrastructure catalysts, and investment verdicts. 5 suburbs in this report are not in the Thermometer and are flagged with a red PDF badge to indicate data vintage may differ.

Ranking Logic

Suburbs are ranked by Hotspotting band tier (Best Buy → Hot → Rising), then by 12-month price growth within each band, then by DSR as a tiebreaker. No composite scores or weighted algorithms are applied - the ranking reflects Tim's classifications and the raw market data.

Limitations

This system surfaces Hotspotting's research data for quick comparison. It is not a price forecast. Property markets are influenced by macroeconomic factors (interest rates, credit availability, regulation) that operate outside the scope of suburb-level data. The system should be used as one input within a broader investment assessment process.