SimpleFunctions

Where will Bernardo Silva go next

Real Madrid is priced at 26¢ on Kalshi. Current book: 23¢ bid, 34¢ ask, 11¢ spread. This outcome ranks #2 of 7 inside Where will Bernardo Silva go next.

Price history

26¢ current

+22¢
0¢25¢50¢75¢
May 3, 2026May 25, 2026

Contract brief

If Bernardo Silva's next club is Real Madrid before Oct 2, 2026, then the market resolves to Yes.

Outcome

Real Madrid

Rank

#2 of 7

Leader

Barcelona 29¢

Range

2¢-29¢

Family volume

$203

Identifier

KXJOINCLUB-26OCT02BSILVA-RMA

May 26, 2026, 5:08 PM UTC · 18m ago

Implied probability

26¢
Latest venue quote
May 26, 2026, 5:08 PM UTC · 18m ago

Bid

23¢

Ask

34¢

Spread

11¢

Reported volume

$1K

Family rank

#2 of 7

7 outcomes · Where will Bernardo Silva go next

Closes

Oct 9, 2026

Family volume

$203

Orderbook snapshot

23 / 34¢

Kalshi
11¢ spread
BidSize
100¢13
23¢200
5¢43
4¢313
AskSize
34¢201
57¢24
58¢24
90¢51
91¢1.3K

Contract terms

What resolves this market.

YES condition

If Bernardo Silva's next club is Real Madrid before Oct 2, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Oct 9, 2026

Identifier

KXJOINCLUB-26OCT02BSILVA-RMA

SF Signal
SF Index
449.68
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

899.4%

IY (No)

80.2%

Adj IY

450%

CRI

3

Overround

-0.3%

Regime

neutral

Score

0.5

Full indicator table

899.4%
80.2%
Adj IY
450%
3
Overround
-0.3%

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.

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.

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.

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.