SimpleFunctions

Five Star Movement in the next Italian Chamber of Deputies election

Five Star Movement is priced at 46¢ on Kalshi. Current book: 1¢ bid, 7¢ ask, 6¢ spread. This outcome ranks #3 of 4 inside Who will win the next Italian Chamber of Deputies election.

Price history

46¢ current

45¢50¢
Jun 21, 2026Jun 21, 2026

Contract brief

If the winner of the next Italian Chamber of Deputies election in 2027 is Five Star Movement, then the market resolves to Yes.

Outcome

Five Star Movement

Rank

#3 of 4

Leader

Brothers of Italy 54¢

Range

1¢-54¢

Family volume

$0

Identifier

KXITALYDEPUTIES-27-M5S

Jun 21, 2026, 5:14 PM UTC · 0m ago

Implied probability

46¢
Latest venue quote
Jun 21, 2026, 5:14 PM UTC · 0m ago

Bid

Ask

Spread

Reported volume

$22

Family rank

#3 of 4

4 outcomes · Who will win the next Italian Chamber of Deputies election

Closes

Dec 30, 2028

Family volume

$0

Orderbook snapshot

1 / 7¢

Kalshi
6¢ spread
BidSize
100¢500
AskSize
7¢5
8¢500
53¢730
54¢500
99¢4.4K

Contract terms

What resolves this market.

YES condition

If the winner of the next Italian Chamber of Deputies election in 2027 is Five Star Movement, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 30, 2028

Identifier

KXITALYDEPUTIES-27-M5S

SF Signal
Regime
neutral

Event family

Who will win the next Italian Chamber of Deputies election.

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

Total volume

$0

Outcomes

4

Highest price

Brothers of Italy 54¢

Current share

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.341

Observability

none

Event type

political

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.