SimpleFunctions

Javier Milei · KXARGENTINAPRES-27

Javier Milei is priced at 56¢ on Kalshi. Current book: 53¢ bid, 57¢ ask, 4¢ spread. This outcome ranks #1 of 3 inside KXARGENTINAPRES-27.

Price history

56¢ current

1¢
50¢60¢
May 24, 2026Jun 19, 2026

Contract brief

If the winner of the next Argentine presidential election in 2027 is Javier Milei, then the market resolves to Yes.

Outcome

Javier Milei

Rank

#1 of 3

Leader

Javier Milei 53¢

Range

1¢-53¢

Family volume

$758

Identifier

KXARGENTINAPRES-27-JMIL

Jun 23, 2026, 2:38 PM UTC · 21m ago

Implied probability

56¢
Latest venue quote
Jun 23, 2026, 2:38 PM UTC · 21m ago

Bid

53¢

Ask

57¢

Spread

24h volume

$758

Family rank

#1 of 3

3 outcomes · KXARGENTINAPRES-27

Closes

Oct 30, 2028

Family volume

$758

Orderbook snapshot

53 / 57¢

Kalshi
4¢ spread
BidSize
53¢600
51¢1.0K
48¢758
42¢800
25¢1.6K
AskSize
57¢1.0K
67¢1.0K
76¢25
78¢2.0K
94¢4.9K

Contract terms

What resolves this market.

YES condition

If the winner of the next Argentine presidential election in 2027 is Javier Milei, then the market resolves to Yes.

Venue

Kalshi

Closes

Oct 30, 2028

Identifier

KXARGENTINAPRES-27-JMIL

SF Signal
SF Index
23.93
Regime
maker

Event family

KXARGENTINAPRES-27.

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

Total volume

$758

Outcomes

3

Highest price

Javier Milei 53¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

maker

Score

0.295

Observability

none

Event type

political

Full indicator table

37.6%
47.9%
Adj IY
24%
1

Odds pages

Related prediction questions

Browse odds

Related readings

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

Browse library
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.

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

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.

Blogtech

MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket

Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.

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.