SimpleFunctions

John Malkovich · KXVFILMFESTIVAL-COPP26

John Malkovich is priced at 16¢ on Kalshi. Current book: 10¢ bid, 15¢ ask, 5¢ spread. This outcome ranks #2 of 6 inside KXVFILMFESTIVAL-COPP26.

Price history

16¢ current

+14¢
0¢10¢20¢
Jul 23, 2026Aug 7, 2026

Contract brief

If John Malkovich wins the Coppa Volpi for Best Actor at the 83rd Venice Festival , then the market resolves to Yes.

Outcome

John Malkovich

Rank

#2 of 6

Leader

Robert Pattinson 30¢

Range

2¢-30¢

Family volume

$0

Identifier

KXVFILMFESTIVAL-COPP26-JOH

Aug 9, 2026, 4:08 PM UTC · 25m ago

Implied probability

16¢
Latest venue quote
Aug 9, 2026, 4:08 PM UTC · 25m ago

Bid

10¢

Ask

15¢

Spread

Reported volume

$524

Family rank

#2 of 6

6 outcomes · KXVFILMFESTIVAL-COPP26

Closes

Sep 13, 2027

Family volume

$0

Orderbook snapshot

10 / 15¢

Kalshi
5¢ spread
BidSize
10¢19
9¢100
7¢200
AskSize
15¢5
16¢100
17¢200
68¢249
69¢573

Contract terms

What resolves this market.

YES condition

If John Malkovich wins the Coppa Volpi for Best Actor at the 83rd Venice Festival , then the market resolves to Yes.

Venue

Kalshi

Closes

Sep 13, 2027

Identifier

KXVFILMFESTIVAL-COPP26-JOH

SF Signal
SF Index
410.72
Regime
neutral

Event family

KXVFILMFESTIVAL-COPP26.

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

Total volume

$0

Outcomes

6

Highest price

Robert Pattinson 30¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

821.4%

IY (No)

10.1%

Adj IY

411%

CRI

9

Overround

-0.5%

Regime

neutral

Score

0.5

Full indicator table

821.4%
10.1%
Adj IY
411%
9
Overround
-0.5%

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.

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.