SimpleFunctions

Jean-Luc Mélenchon · KXFRPRESBALLOT-27JUN30

Jean-Luc Mélenchon is priced at 87¢ on Kalshi. Current book: 90¢ bid, 97¢ ask, 7¢ spread. This outcome ranks #7 of 16 inside KXFRPRESBALLOT-27JUN30.

Price history

87¢ current

−4¢
25¢50¢75¢100¢
Aug 24, 2026Sep 19, 2026

Contract brief

If Jean-Luc Mélenchon is officially certified, approved, or confirmed to appear on the official candidate list for the first round of the 2027 French presidential election before Jun 30, 2027, then the market resolves to Yes.

Outcome

Jean-Luc Mélenchon

Rank

#7 of 16

Leader

Marine Le Pen 87¢

Range

1¢-87¢

Family volume

$0

Identifier

KXFRPRESBALLOT-27JUN30-JMEL

Sep 22, 2026, 12:08 AM UTC · 2h ago

Implied probability

87¢
Latest venue quote
Sep 22, 2026, 12:08 AM UTC · 2h ago

Bid

90¢

Ask

97¢

Spread

7¢

Reported volume

$6

Family rank

#7 of 16

16 outcomes · KXFRPRESBALLOT-27JUN30

Closes

Jun 30, 2027

Family volume

$0

Orderbook snapshot

90 / 97¢

Kalshi
7¢ spread
BidSize
100¢50
90¢200
40¢100
39¢348
20¢200
AskSize
97¢5
98¢200
99¢50

Contract terms

What resolves this market.

YES condition

If Jean-Luc Mélenchon is officially certified, approved, or confirmed to appear on the official candidate list for the first round of the 2027 French presidential election before Jun 30, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 30, 2027

Identifier

KXFRPRESBALLOT-27JUN30-JMEL

SF Signal
SF Index
259.25
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

518.5%

IY (No)

32.4%

Adj IY

259%

CRI

4

Overround

3.5%

Regime

neutral

Score

0.5

Full indicator table

518.5%
32.4%
Adj IY
259%
4
Overround
3.5%

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.

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.