SimpleFunctions

Before Jan 1, 2031 · Will any company announce that it has achieved Artificial General Intelligence (AGI) before

Before Jan 1, 2031 is priced at 69¢ on Kalshi. Current book: 69¢ bid, 73¢ ask, 4¢ spread. This outcome ranks #1 of 13 inside Will any company announce that it has achieved Artificial General Intelligence (AGI) before.

Price history

69¢ current

+5¢
60¢70¢
May 11, 2026May 31, 2026

Contract brief

If any company (public or private) officially announces that it has achieved Artificial General Intelligence (AGI) after market issuance and before Jan 1, 2031, then the market resolves to Yes.

Outcome

Before Jan 1, 2031

Rank

#1 of 13

Leader

Before Jan 1, 2031 69¢

Range

1¢-69¢

Family volume

$170

Identifier

KXAGICO-COMP-30

Jun 8, 2026, 2:38 AM UTC · 2m ago

Implied probability

69¢
Latest venue quote
Jun 8, 2026, 2:38 AM UTC · 2m ago

Bid

69¢

Ask

73¢

Spread

Reported volume

$4K

Family rank

#1 of 13

13 outcomes · Will any company announce that it has achieved Artificial General Intelligence (AGI) before

Closes

Jan 1, 2031

Family volume

$170

Orderbook snapshot

69 / 73¢

Kalshi
4¢ spread
BidSize
69¢162
68¢351
66¢500
65¢100
64¢500
AskSize
73¢4
75¢510
85¢1
95¢44
96¢817

Contract terms

What resolves this market.

YES condition

If any company (public or private) officially announces that it has achieved Artificial General Intelligence (AGI) after market issuance and before Jan 1, 2031, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 1, 2031

Identifier

KXAGICO-COMP-30

SF Signal
SF Index
24.35
Regime
maker

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

9.8%

IY (No)

48.7%

Adj IY

24%

CRI

2

Overround

4.2%

Regime

maker

Score

0.295

Observability

none

Event type

scientific

Full indicator table

9.8%
48.7%
Adj IY
24%
2
Overround
4.2%

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.

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.

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.