SimpleFunctions

Maintain current rate · Will the Bank of England

Maintain current rate is priced at 48¢ on Kalshi. Current book: 12¢ bid, 44¢ ask, 32¢ spread. This outcome ranks #3 of 5 inside Will the Bank of England.

Price history

48¢ current

+46¢
0¢25¢50¢
Aug 25, 2026Aug 26, 2026

Contract brief

If the Bank of England takes the action of Maintain current rate at December Monetary Policy Committee meeting, then the market resolves to Yes.

Outcome

Maintain current rate

Rank

#3 of 5

Leader

Cut more than 25bps 29¢

Range

2¢-29¢

Family volume

$2K

Identifier

KXCBDECISIONENGLAND-26DEC17-HOLD

Aug 26, 2026, 6:38 AM UTC · 15m ago

Implied probability

48¢
Latest venue quote
Aug 26, 2026, 6:38 AM UTC · 15m ago

Bid

12¢

Ask

44¢

Spread

32¢

24h volume

$474

Family rank

#3 of 5

5 outcomes · Will the Bank of England

Closes

Dec 17, 2026

Family volume

$2K

Orderbook snapshot

12 / 44¢

Kalshi
32¢ spread
BidSize
12¢1.3K
8¢53
7¢1.7K
6¢4.9K
2¢2.0K
AskSize
44¢11
49¢10
62¢3
65¢75
66¢9

Contract terms

What resolves this market.

YES condition

If the Bank of England takes the action of Maintain current rate at December Monetary Policy Committee meeting, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 17, 2026

Identifier

KXCBDECISIONENGLAND-26DEC17-HOLD

SF Signal
SF Index
2141.53
Regime
neutral

Event family

Will the Bank of England.

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

Total volume

$2K

Outcomes

5

Highest price

Cut more than 25bps 29¢

Current share

26%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

4283.1%

IY (No)

24.3%

Adj IY

2142%

CRI

13

Overround

-0.3%

Regime

neutral

Score

0.5

Full indicator table

4283.1%
24.3%
Adj IY
2142%
13
Overround
-0.3%

Related readings

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

Browse library
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.

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.

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.

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.

Blogmacro

US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle

Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.

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.

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.