SimpleFunctions

Maintain current rate · Will the Bank of Japan

Maintain current rate is priced at 54¢ on Kalshi. Current book: 53¢ bid, 55¢ ask, 2¢ spread. This outcome ranks #1 of 5 inside Will the Bank of Japan.

Price history

54¢ current

28¢
50¢75¢
Jul 28, 2026Aug 8, 2026

Contract brief

If the Bank of Japan takes the action of Maintain current rate at the September 2026 Monetary Policy Meeting, then the market resolves to Yes.

Outcome

Maintain current rate

Rank

#1 of 5

Leader

Maintain current rate 54¢

Range

1¢-54¢

Family volume

$599

Identifier

KXCBDECISIONJAPAN-26SEP17-HOLD

Aug 8, 2026, 8:08 PM UTC · 18m ago

Implied probability

54¢
Latest venue quote
Aug 8, 2026, 8:08 PM UTC · 18m ago

Bid

53¢

Ask

55¢

Spread

24h volume

$168

Family rank

#1 of 5

5 outcomes · Will the Bank of Japan

Closes

Sep 18, 2026

Family volume

$599

Orderbook snapshot

53 / 55¢

Kalshi
2¢ spread
BidSize
53¢26
51¢99
39¢110
38¢151
25¢484
AskSize
55¢1.1K
56¢1
57¢162
59¢99
70¢200

Contract terms

What resolves this market.

YES condition

If the Bank of Japan takes the action of Maintain current rate at the September 2026 Monetary Policy Meeting, then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 18, 2026

Identifier

KXCBDECISIONJAPAN-26SEP17-HOLD

SF Signal
SF Index
532.09
Regime
neutral

Event family

Will the Bank of Japan.

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

Total volume

$599

Outcomes

5

Highest price

Maintain current rate 54¢

Current share

28%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Full indicator table

772.2%
1064.2%
Adj IY
532%
1

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.

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.

Blogmacro

Fed Rate Cuts 2026: What $200M in Prediction Market Volume Is Telling Us

Fed rate prediction market analysis for 2026. Meeting-by-meeting probabilities, comparison with CME futures, cross-market signals, tail risk pricing, and historical accuracy.

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.

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.