SimpleFunctions

Jose Henrique Nascimento De Souza · KXUFCFIGHT-26MAY30DINNAJ

Jose Henrique Nascimento De Souza is priced at 47¢ on Kalshi. Current book: 44¢ bid, 47¢ ask, 3¢ spread. This outcome ranks #2 of 2 inside KXUFCFIGHT-26MAY30DINNAJ.

Price history

47¢ current

+45¢
0¢25¢50¢
May 24, 2026May 28, 2026

Contract brief

If Jose Henrique Nascimento De Souza wins the Ding vs Nascimento De Souza professional MMA fight originally scheduled for May 30, 2026, then the market resolves to Yes.

Outcome

Jose Henrique Nascimento De Souza

Rank

#2 of 2

Leader

Meng Ding 53¢

Range

44¢-53¢

Family volume

$1K

Identifier

KXUFCFIGHT-26MAY30DINNAJ-NAJ

May 28, 2026, 6:38 PM UTC · 8m ago

Implied probability

47¢
Latest venue quote
May 28, 2026, 6:38 PM UTC · 8m ago

Bid

44¢

Ask

47¢

Spread

24h volume

$197

Family rank

#2 of 2

2 outcomes · KXUFCFIGHT-26MAY30DINNAJ

Closes

Jun 13, 2026

Family volume

$1K

Orderbook snapshot

44 / 47¢

Kalshi
3¢ spread
BidSize
44¢1.5K
43¢3.1K
42¢3.1K
40¢1.6K
36¢1.0K
AskSize
47¢107
48¢1.5K
49¢314
50¢1.8K
51¢1.5K

Contract terms

What resolves this market.

YES condition

If Jose Henrique Nascimento De Souza wins the Ding vs Nascimento De Souza professional MMA fight originally scheduled for May 30, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 13, 2026

Identifier

KXUFCFIGHT-26MAY30DINNAJ-NAJ

SF Signal
SF Index
2766.41
Regime
neutral

Event family

KXUFCFIGHT-26MAY30DINNAJ.

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

Total volume

$1K

Outcomes

2

Highest price

Meng Ding 53¢

Current share

19%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

2766.4%

IY (No)

1851.9%

Adj IY

2766%

CRI

1

RV

339%

VR

0.63

Regime

neutral

Score

0.5

Full indicator table

2766.4%
1851.9%
Adj IY
2766%
1
RV
339%
VR
0.63
IAR
1.3/h

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
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.

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.

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.