SimpleFunctions

Before 2027 · KXGPTCOST-27

Before 2027 is priced at 22¢ on Kalshi. Current book: 23¢ bid, 24¢ ask, 1¢ spread. This page tracks a standalone prediction-market contract.

Price history

22¢ current

8¢
25¢50¢
May 25, 2026Jun 24, 2026

Contract brief

If either ChatGPT Pro or Plus have a price increase after December 19, 2024 and before Jan 1, 2027, then the market resolves to Yes.

Outcome

Before 2027

Rank

Standalone

Leader

Range

Family volume

$974

Identifier

KXGPTCOST-27

Jun 24, 2026, 4:08 PM UTC · 21m ago

Implied probability

22¢
Latest venue quote
Jun 24, 2026, 4:08 PM UTC · 21m ago

Bid

23¢

Ask

24¢

Spread

24h volume

$1K

Family rank

Standalone

Standalone contract

Closes

Jan 1, 2027

Family volume

$974

Orderbook snapshot

23 / 24¢

Kalshi
1¢ spread
BidSize
23¢45
22¢161
21¢422
20¢1.0K
19¢500
AskSize
24¢1
25¢53
27¢500
34¢155
67¢6

Contract terms

What resolves this market.

YES condition

If either ChatGPT Pro or Plus have a price increase after December 19, 2024 and before Jan 1, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 1, 2027

Identifier

KXGPTCOST-27

SF Signal
SF Index
319.96
Regime
neutral

Event family

KXGPTCOST-27.

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

Total volume

$974

Outcomes

1

Highest price

Before 2027 23¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

Observability

medium

Event type

financial

Full indicator table

639.9%
57.1%
Adj IY
320%
3

Related readings

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

Browse library
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.

Technicalrisk

Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter

How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.

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.

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.

Conceptmethodology

Reflexivity Loops in Election Markets: When Price → Consensus → Price

Election prediction markets have a feedback loop where price becomes news becomes price. How the loop works, the 2024 case study, and how to size trades against it.

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.