Short Summary
HtAG Analytics tested whether “Bull” and “Bear” market signals — built from the direction days on market and inventory diverge inside a single suburb — actually predict prices. Powered by roughly 340,000 suburb-month observations across 5,020 Australian house suburbs (Oct 2020 – Apr 2026), Bull-flagged suburbs ran +0.25 percentage points ahead of their peers over the following 12 months and Bear-flagged suburbs ran −0.32pp behind, after controls. This article walks through the evidence, the stress tests, and the two case studies.
In 30 Seconds
What is it? A study of whether the direction days on market and inventory pull apart inside a suburb predicts its next 12 months of price growth.
Why does it matter? The divergence pattern carried a measurable, statistically validated growth edge — and the “textbook” version of this relationship holds in only 11% of suburbs.
Who uses it? Investors and buyers agents timing entries and exits within a broader research framework.
Use it on its own? No — it is a timing layer, not a strategy. Suburb selection still comes first.
Start Here: A Strange Pattern on the Sunshine Coast
In May 2021, houses in Bokarina, QLD 4575 were taking 80 days to sell — more than double the suburb’s usual 33. On the surface, that looked like a market going cold. But the stock of homes for sale told the opposite story: inventory had collapsed to 0.95 months of supply against a norm of 3.5. Homes were sitting longer not because nobody wanted them, but because owners refused to discount — and almost nothing new was being listed.
Twelve months later, Bokarina’s typical house price had risen from $1.27M to $1.64M — up 29%. That pattern — selling time stretching above a suburb’s own norm while available stock falls below it — is what HtAG Analytics calls a Bull Signal. This article presents the evidence behind it: a full-universe study, published in May 2026, of how days on market and inventory diverge across 5,020 Australian house suburbs, and what that divergence predicted.
In a nutshell: across roughly 340,000 suburb-month observations, suburbs firing a Bull Signal went on to outgrow their same-state peers by +0.25 percentage points over 12 months, while Bear-flagged suburbs undershot by −0.32pp — a controlled Bull–Bear spread of +0.58pp. Modest per year, meaningful compounded, and validated by five separate stress tests.
Table of Contents
- Start Here: A Strange Pattern on the Sunshine Coast
- What Are Bull and Bear Signals in Property?
- Inside the Study: 5,020 Suburbs, 340,000 Observations
- The Textbook Rule Fails in 89% of Suburbs
- What the Signals Predicted
- Five Stress Tests the Signals Survived
- Case Studies: Bokarina and West Footscray
- What Bull and Bear Signals Are Not
- From Whitepaper to Platform
- Surface This Data Inside Your AI Agent
- Key Takeaways
- From Data Signal to Portfolio Decision
- FAQs
What Are Bull and Bear Signals in Property?
If you remember one thing from this page, make it this: it is the direction of divergence against a suburb’s own history — never the absolute level of either metric — that carried predictive power.
Citable Definition
A Bull Signal occurs when a suburb’s days on market rise clearly above its own historical norm while its inventory falls clearly below that norm — a pattern of vendor patience that historically preceded stronger 12-month price growth. A Bear Signal is the mirror image: inventory climbs above the suburb’s own norm while days on market fall below it — a seller flood that historically preceded weaker growth. — HtAG Analytics, DOM–Inventory Divergence study (May 2026)
Both ingredients are ordinary market metrics. Days on market (DOM) measures how long the typical listing takes to sell. Inventory measures how many months the current stock of listings would take to absorb at the current sales rate. What the study found is that neither metric on its own tells you much — the information lives in how they move relative to each other, benchmarked against that suburb’s own past. In the study, a signal was only counted after the divergence had persisted for three consecutive months against the suburb’s own norm, which filtered out single-month noise.
What This Means in Plain English
Think of a suburb like a shop. A Bull Signal is the shop where goods sit on the shelf a little longer — but the shelves themselves are nearly empty and nothing new is arriving. Sellers can afford to wait, so prices hold and then rise. A Bear Signal is the shop where the stockroom is overflowing and everything is being rushed out the door — sellers racing each other down on price.
Inside the Study: 5,020 Suburbs, 340,000 Observations
The study covered every Australian house suburb with at least 36 months of continuous data — 5,020 markets, observed monthly from October 2020 to April 2026, for roughly 340,000 suburb-month observations. That full-universe design matters: it means the results were not cherry-picked from suburbs where the pattern happened to work. The same discipline underpins all of HtAG’s published research — see what backtesting means in property forecasting for why testing on data the method has never seen is the standard that separates evidence from marketing.
Each suburb was benchmarked against its own history, and forward 12-month price growth was compared against same-state, same-month peers — so a hot state or a hot month could not masquerade as signal skill. Results were then re-run with controls for vacancy, building approvals, affordability, sales volume and hold period.
According to HtAG Analytics, only 11% of Australian house suburbs behave the way the textbook says — days on market and inventory moving in opposite directions. In 48% the two metrics co-move, and in 40% they are essentially uncorrelated.
The Textbook Rule Fails in 89% of Suburbs
Standard market commentary treats days on market and inventory as two readings of the same dial: when supply is tight, homes should sell faster; when it is loose, slower. The data says otherwise. Across the 5,020 suburbs studied, only 11% showed that classic inverse relationship. Nearly half (48%) showed the two metrics rising and falling together, and 40% showed no stable relationship at all.
That 89% failure rate is precisely why the divergence approach works. If DOM and inventory usually told the same story, their disagreement would be noise. Because they usually don’t, the rare months where they pull hard in opposite directions against a suburb’s own history contain genuine information about who holds pricing power — the vendors or the buyers.
What the Signals Predicted
Bull-flagged suburbs outgrew their peers by +0.25 percentage points over the following 12 months; Bear-flagged suburbs undershot by −0.32pp — both after controls. The direct Bull-versus-Bear contrast was +0.58pp controlled (+0.87pp before controls). All figures are averages across roughly 340,000 suburb-month observations (Oct 2020 – Apr 2026), not guarantees for any single market.
| Finding | Result | Reading |
|---|---|---|
| Bull Signal effect | +0.25pp forward 12M | Vendor patience preceded above-peer growth |
| Bear Signal effect | −0.32pp forward 12M | Seller floods preceded below-peer growth — the statistically stronger side |
| Bull–Bear spread (controlled) | +0.58pp | ≈ 4–5% extra total return compounded over a 7-year hold |
| Textbook DOM–inventory behaviour | 11% of suburbs | 48% co-move; 40% uncorrelated |
Source: HtAG Analytics — DOM–Inventory Divergence study, May 2026. 5,020 Australian house suburbs, ~340,000 suburb-month observations, Oct 2020 – Apr 2026.
Note the asymmetry: the Bear side is statistically stronger than the Bull side. Markets fall faster than they rise, and a seller flood is a more reliable warning than vendor patience is a promise. That asymmetry echoes what HtAG’s Volatility Floor research found from a different angle — in Australian housing, avoiding the downside has historically mattered more than chasing the upside.
Five Stress Tests the Signals Survived
A pattern this simple should be treated with suspicion until it survives attempts to kill it. The study ran five:
- Controls test — adding vacancy, building approvals, affordability, sales volume and hold period shrank the effect by about 30% but left it statistically significant. The divergence is not just a proxy for those better-known metrics.
- Overlap stripping — removing suburb-months where other indicators fired the same way confirmed divergence carries independent information.
- Placebo shuffle — randomly reassigning signal dates collapsed the effect to roughly zero. The result is not an artefact of how the test was built.
- Sub-sample splits — the effect held across market segments, running roughly four times stronger in suburbs with good discounting-data coverage, where the vendor-patience mechanism is most visible.
- Direct Bull-vs-Bear contrast — comparing the two flagged groups head-to-head produced the +0.58pp controlled spread.
According to HtAG Analytics, randomly shuffling the signal dates collapsed the measured effect to approximately zero — the strongest evidence that the Bull and Bear pattern reflects real market behaviour rather than statistical coincidence.
What This Means in Plain English
A “placebo test” is like checking a metal detector by waving it over sand. If it beeps as often over empty sand as over buried coins, the beeps mean nothing. Here, the detector went quiet over the sand — the beeps only happened where the coins were.
Case Studies: Bokarina and West Footscray
The whitepaper documents one confirmed signal of each type. On the Sunshine Coast, Bokarina confirmed a Bull Signal in May 2021 — DOM at 80 days against a 33-day norm, inventory at 0.95 months against 3.5 — and its typical house price rose from $1.27M to $1.64M (+29%) over the following 12 months. In Melbourne’s inner west, West Footscray, in the Maribyrnong City council area, confirmed a Bear Signal in June 2022 — stock piling up while homes cleared faster — and slipped from $1.08M to $1.00M (−7%) over the next 12 months.
Where are they now? On live HtAG data as at 30 June 2026, Bokarina’s typical house price reads $2,073,564 — up roughly 63% on its May 2021 signal-month level — though its Growth Rate Cycle now sits at (+)Peak with a Volatility Index of 10/10, a very different risk picture from 2021. West Footscray reads $1,036,560 — still below its 2022 peak four years on, with its cycle only now turning (+)Increasing. A Bear Signal’s damage, once done, took years to repair.
| Case | Signal | 12M outcome | Typical Price, Jun 2026 |
|---|---|---|---|
| Bokarina, QLD 4575 | Bull — May 2021 | $1.27M → $1.64M (+29%) | $2,073,564 · GRC (+)Peak |
| West Footscray, VIC 3012 | Bear — Jun 2022 | $1.08M → $1.00M (−7%) | $1,036,560 · GRC (+)Increasing |
Source: HtAG Analytics. Signal-month and 12-month figures from the DOM–Inventory Divergence study (May 2026); June 2026 figures from live HtAG house data as at 30 June 2026. A data read is not a recommendation — both suburbs are shown as historical illustrations of the signal mechanics, not as places to buy or avoid today.
What Bull and Bear Signals Are Not
The study is equally clear about the signals’ limits, and honest research reports them. They are not a long-horizon predictor: beyond roughly two years, affordability and fundamentals dominate, which is where metrics like Growth Pattern Deviation and Growth Spillover Effect take over. They are not a national aggregate signal: the divergence only means something benchmarked against a single suburb’s own history. And they are not a substitute for suburb selection: a Bull Signal in a peaked, stretched-affordability market — Bokarina’s June 2026 read is a live illustration — still warrants caution. When neither signal is present, the timing layer is simply silent, and the broader framework of composite scores and cycle analysis carries the decision.
According to HtAG Analytics, the Bull–Bear spread compounds to roughly 4–5% of extra total return over a typical seven-year hold — a timing edge worth having, but never a reason to buy the wrong suburb.
From Whitepaper to Platform
The full 40-page study — methodology at the research level, all five validation tests, and both case studies — is published as the DOM–Inventory Divergence whitepaper, which ships with the monthly Bull/Bear Register: the current list of Australian house suburbs with confirmed Bull or Bear signals, updated as new data lands. The signal detection itself — the calibration that decides how far above or below a suburb’s norm counts as “clearly”, and how signals interact with the rest of the framework — runs inside the HtAG platform, where each suburb’s DOM and inventory trends are charted against their own history. This page reports what the research found; the platform is where it becomes usable. For how this evidence discipline applies across all of HtAG’s published forecasts, see the Evidence Portal and the algorithm backtest results, and for the wider context of what this kind of research layer is, start at What Is Property Intelligence?
Surface This Data Inside Your AI Agent
The HtAG Developer Portal exposes the data behind this study — suburb-level days on market and inventory trend series, market summaries, cycle positions and composite scores across 15,000+ localities — through MCP (Model Context Protocol) connectors. Investors and buyers agents using Claude, Perplexity, Manus AI, ChatGPT (via custom connectors) or any MCP-compatible AI agent can query the same series this research was built on, directly inside the AI tool they already use.
HtAG’s MCP-enabled Developer Portal puts suburb-level DOM and inventory trend data inside your AI agent. Apply for access and pull the series behind this study for any Australian suburb without leaving Claude or Perplexity.
HtAG Analytics Developer Portal (2026)
Browse the endpoint catalogue at developer.htagai.com and submit the HtAG Developer Portal application — approved members receive an API key and an MCP setup guide for their preferred AI tool.
Key Takeaways
- The “textbook” inverse relationship between days on market and inventory holds in only 11% of Australian house suburbs; 48% co-move and 40% are uncorrelated (HtAG Analytics, May 2026).
- Bull Signals (DOM above own norm, inventory below) preceded +0.25pp of extra 12-month growth versus peers; Bear Signals (the mirror image) preceded −0.32pp — after controls, across ~340,000 suburb-month observations.
- The Bear side is statistically stronger: seller floods are a more reliable warning than vendor patience is a promise.
- The result survived controls, overlap stripping, a placebo shuffle, sub-sample splits and a direct Bull-vs-Bear contrast (+0.58pp controlled spread).
- The signals are a 3–12 month timing layer, not a strategy: beyond ~2 years affordability dominates, and a Bull in a peaked market still warrants caution.
- Bokarina QLD (Bull, May 2021, +29% in 12M) and West Footscray VIC (Bear, Jun 2022, −7% in 12M) are the study’s registered case studies — with West Footscray still below its 2022 peak in mid-2026.
From Data Signal to Portfolio Decision
The days on market and inventory series behind this study are live inside the HtAG Analytics platform — charted against each suburb’s own history and updated as new data flows in. Professional buyers agents use these trends, alongside composite scores and validated forecasts, to time entries and build conviction before making offers.
If you’re building a portfolio and want to see the exact data powering research like this, the HtAG Starter Plan gives you access to suburb-level analytics across every Australian market — no lock-in, cancel any time.
Start your HtAG Analytics membership → · Apply for Developer Portal access →
FAQs
What is a Bull Signal in the property market?
In HtAG Analytics’ research, a Bull Signal occurs when a suburb’s days on market rise clearly above its own historical norm while inventory falls clearly below it, sustained for three consecutive months. It reflects vendor patience — owners holding firm on price while little new stock arrives — and historically preceded +0.25pp of extra 12-month growth versus peers.
What is a Bear Signal in the property market?
A Bear Signal is the mirror image: inventory climbs above the suburb’s own norm while days on market fall below it — a seller flood, with owners racing each other to exit. In HtAG’s study it preceded −0.32pp of 12-month underperformance versus peers, and was the statistically stronger of the two signals.
How reliable are Bull and Bear property signals?
The effects are averages across roughly 340,000 suburb-month observations — +0.25pp (Bull) and −0.32pp (Bear) after controls — validated by five stress tests including a placebo shuffle that collapsed the effect to zero when signal dates were randomised. They are statistical tendencies over 3–12 month horizons, not guarantees for any individual suburb.
Do Bull and Bear signals work for long-term property forecasting?
No. The study found the signals are most informative 3–12 months ahead and fade beyond roughly two years, where affordability and fundamentals dominate. HtAG treats them as a timing layer inside a broader framework of composite scores, cycle analysis and validated forecasts — never as a stand-alone strategy.
How do I access HtAG days on market and inventory data inside Claude or Perplexity?
Through the HtAG Developer Portal’s MCP connectors. Browse the endpoint catalogue at https://developer.htagai.com/ and submit the application form at https://links.htag.com.au/widget/form/GFVegAaXzeTUH7QzRl1T — approved members receive an API key and an MCP setup guide for Claude, Perplexity, Manus AI and other MCP-compatible agents.
Research Note
What we learned building this study: the market’s most quoted supply metrics disagree with each other far more often than they agree — and that disagreement, read against each suburb’s own history, turned out to be the signal. What we also learned: the downside side of the ledger speaks louder than the upside, which is why the Bear Signal earns more weight in risk conversations than the Bull Signal does in growth ones.
How to Cite This Research
HtAG Analytics (2026). DOM–Inventory Divergence: Bull and Bear Signals in Australian House Markets. 5,020 suburbs, ~340,000 suburb-month observations, Oct 2020 – Apr 2026. Published May 2026. Available via htag.com.au.
The conceptual framework behind these signals is published openly for transparency and education. Their proprietary implementation — calibration, weighting, validation and the underlying data — remains the confidential intellectual property of HtAG Analytics.
This article forms part of the HtAG Property Intelligence Reference Library — a structured knowledge base documenting the concepts, metrics and methodologies used to analyse Australian residential property markets. Reference Standard PI-BULLBEARTIDE · Version 1.0
Disclaimer: This article is for educational purposes only and does not constitute financial advice. Property investment carries risks, and past performance is not indicative of future results. All growth rates, yields, and projections are derived from historical data and statistical modelling — they are not guarantees of future performance. Always conduct your own due diligence and consult a qualified financial adviser before making investment decisions.
