SimpleFunctions

Before May 1, 2027 · When will OpenAI IPO?: Before

Before May 1, 2027 is priced at 90¢ on Kalshi. Current book: 87¢ bid, 95¢ ask, 8¢ spread. This outcome ranks #2 of 12 inside When will OpenAI IPO?: Before.

Price history

90¢ current

+31¢
50¢75¢100¢
May 12, 2026Jun 7, 2026

Contract brief

If OpenAI confirms an IPO before May 1, 2027, then the market resolves to Yes.

Outcome

Before May 1, 2027

Rank

#2 of 12

Leader

Before Jun 1, 2027 91¢

Range

1¢-91¢

Family volume

$2K

Identifier

KXIPOOPENAI-27MAY01

Jun 8, 2026, 7:38 AM UTC · 13m ago

Implied probability

90¢
Latest venue quote
Jun 8, 2026, 7:38 AM UTC · 13m ago

Bid

87¢

Ask

95¢

Spread

Reported volume

$5K

Family rank

#2 of 12

12 outcomes · When will OpenAI IPO?: Before

Closes

May 1, 2027

Family volume

$2K

Orderbook snapshot

87 / 95¢

Kalshi
8¢ spread
BidSize
87¢525
84¢102
50¢10
45¢48
44¢847
AskSize
95¢504
97¢51
99¢1.4K

Contract terms

What resolves this market.

YES condition

If OpenAI confirms an IPO before May 1, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

May 1, 2027

Identifier

KXIPOOPENAI-27MAY01

SF Signal
SF Index
339.30
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

16.7%

IY (No)

747.3%

Adj IY

339%

CRI

7

Overround

6.0%

LAS

0.09

Regime

neutral

Score

0.5

Observability

high

Event type

financial

Full indicator table

16.7%
747.3%
Adj IY
339%
7
Overround
6.0%
LAS
0.09

Odds pages

Related prediction questions

Browse odds

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.

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

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.

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.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

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.