SimpleFunctions

Marine Le Pen · KXFRENCHPRES-27

Marine Le Pen is priced at 37¢ on Kalshi. Current book: 37¢ bid, 41¢ ask, 4¢ spread. This outcome ranks #1 of 8 inside KXFRENCHPRES-27.

Price history

37¢ current

+2¢
30¢40¢
Jul 20, 2026Aug 18, 2026

Contract brief

If Marine Le Pen wins the next French presidential election, then the market resolves to Yes.

Outcome

Marine Le Pen

Rank

#1 of 8

Leader

Marine Le Pen 37¢

Range

1¢-37¢

Family volume

$433

Identifier

KXFRENCHPRES-27-MLEP

Aug 19, 2026, 7:38 AM UTC · 6m ago

Implied probability

37¢
Latest venue quote
Aug 19, 2026, 7:38 AM UTC · 6m ago

Bid

37¢

Ask

41¢

Spread

24h volume

$382

Family rank

#1 of 8

8 outcomes · KXFRENCHPRES-27

Closes

May 30, 2028

Family volume

$433

Orderbook snapshot

37 / 41¢

Kalshi
4¢ spread
BidSize
37¢193
36¢14
35¢251
34¢8.9K
32¢281
AskSize
41¢14
42¢360
43¢850
47¢99
56¢333

Contract terms

What resolves this market.

YES condition

If Marine Le Pen wins the next French presidential election, then the market resolves to Yes.

Venue

Kalshi

Closes

May 30, 2028

Identifier

KXFRENCHPRES-27-MLEP

SF Signal
SF Index
47.79
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

95.6%

IY (No)

33.0%

Adj IY

48%

CRI

2

Overround

-0.2%

Regime

neutral

Score

0.341

Observability

none

Event type

political

Full indicator table

95.6%
33.0%
Adj IY
48%
2
Overround
-0.2%

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.

Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

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.