SimpleFunctions

Unadjusted total residential benchmark price for the City of Calgary in 2026 fall below C$550,000

Below C$550,000 is priced at 63¢ on Kalshi. Current book: 62¢ bid, 67¢ ask, 5¢ spread. This page tracks a standalone prediction-market contract.

Price history

63¢ current

+14¢
25¢50¢
Jun 9, 2026Jun 26, 2026

Contract brief

If the unadjusted total residential benchmark price for the City of Calgary in 2026 is below C$550,000 in any Calgary Real Estate Board monthly housing statistics release covering January 2026 through December 2026, then the market resolves to Yes.

Outcome

Below C$550,000

Rank

Standalone

Leader

Range

Family volume

$0

Identifier

KXCALHOME-27JAN15-T550

Jun 27, 2026, 9:38 AM UTC · 10m ago

Implied probability

63¢
Latest venue quote
Jun 27, 2026, 9:38 AM UTC · 10m ago

Bid

62¢

Ask

67¢

Spread

Reported volume

$3K

Family rank

Standalone

Standalone contract

Closes

Jan 15, 2027

Family volume

$0

Orderbook snapshot

62 / 67¢

Kalshi
5¢ spread
BidSize
62¢5
61¢500
35¢156
8¢95
7¢147
AskSize
67¢2
68¢51
69¢500
95¢40
96¢86

Contract terms

What resolves this market.

YES condition

If the unadjusted total residential benchmark price for the City of Calgary in 2026 is below C$550,000 in any Calgary Real Estate Board monthly housing statistics release covering January 2026 through December 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 15, 2027

Identifier

KXCALHOME-27JAN15-T550

SF Signal
SF Index
147.29
Regime
neutral

Event family

KXCALHOME-27JAN15.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$0

Outcomes

1

Highest price

Below C$550,000 62¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.341

Observability

low

Event type

financial

Full indicator table

110.7%
294.6%
Adj IY
147%
2

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Blogmarkets

Kalshi vs Polymarket: Which Prediction Market Should You Trade?

In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.

Opinionanalysis

Liquidity Availability Is the Real Edge in Prediction Markets

Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.

Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

Blogmarkets

Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity

How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.

Technicalguide

Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity

Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.