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About

montoit.ca

About montoit.ca

montoit.ca aggregates Montréal condo listings from every major source into one deduplicated feed, joined to public reference data so you can read a listing in context. It's a buyer's research tool — evidence, never an appraisal or advice.

Who runs this

montoit.ca is an independent, solo-run project by Alexandre Godard. It's not affiliated with any listing service, brokerage, or government body.

Questions, corrections, or a data-removal request? Email contact@montoit.ca.

Where the data comes from

Listings are collected from public listing sources every 30 minutes, with deeper backfills through the day and a nightly re-derivation pass.

Each listing is joined to public reference data that we read but don't own:

  • Municipal assessment roll — évaluation foncière: assessed value, building size, unit counts.
  • Building permits from the boroughs' open data.
  • Schools with Fraser Institute rankings.
  • Transit stations and stops.
  • Flood zones, heat islands, and contaminated sites (Québec GTC land-registry of terrains).
  • SPVM crime incidents, aggregated per area.
  • Bank of Canada 5-year mortgage rate (for the monthly-cost estimate).
  • 2021 Census demographics from Statistics Canada.

How the derived numbers work

Deal score. How far a listing's asking price sits below comparable value. Where a neighborhood has enough matched sold data (its ask→sold calibration passes the gate), we anchor on a sold-based estimate; otherwise it degrades to the weaker price-per-square-foot-versus-neighborhood-median signal, and the wording is hedged so we never imply a sold number we can't back.

Comps. Comparable units shown as a range and a percentile, not an appraisal. The inputs appear below (ADR-0002).

Close estimate. In neighborhoods with enough matched Land Register sales, the estimated close applies the measured ask→sold gap to the listing's original ask. Thin-data neighborhoods get no estimate, and limited-data ones are labelled with their sample size (ADR-0012).

Ask erosion. For units that left the market, how much of the original asking price they shed before disappearing — a lower bound on the real negotiation discount, since the actual sale price is at or below the last ask.

Building churn. How many distinct units in a building were listed in the past 12 months, against the building's unit count from the roll. Evidence of turnover, not a verdict on the building.

Frequently asked questions

How fresh is the data?
Listings are refreshed from their public sources every 30 minutes. A nightly redrive re-runs every listing through derivation so it picks up reference-data changes (municipal roll, permits, mortgage rate) even without a fresh update.
Why can a listing be delisted here but still live on the source?
The 30-minute refresh mainly heartbeats the newest results; the long tail is re-confirmed by a periodic deep backfill. A listing is marked delisted after it hasn't been seen for the source threshold of 30–36 hours. A listing outside the refresh window stays marked delisted until the next deep pass re-confirms it.
What does “possible flip” mean?
A Land Register lookup flags a unit as a possible flip when the current owner bought it within the last 24 months — a short hold, not a judgment. It's a fact about timing, not an accusation or a prediction.
How does cross-source dedup work?
The same physical unit on more than one source is linked into one canonical group. A fixed source-priority rule chooses the primary from the normalized address and unit. The other records remain as siblings, while you see one unit instead of three copies.
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