SimpleFunctions

Above 60 · The Death of Robin Hood Rotten Tomatoes score?: Above

Above 60 is priced at 92¢ on Kalshi. Current book: 90¢ bid, 93¢ ask, 3¢ spread. This outcome ranks #3 of 10 inside The Death of Robin Hood Rotten Tomatoes score?: Above.

Price history

92¢ current

+71¢
25¢50¢75¢100¢
May 21, 2026May 24, 2026

Contract brief

If The Death of Robin Hood has a Tomatometer score of above 60 on Jun 22, 2026 at 10:00 AM ET, then the market resolves to Yes.

Outcome

Above 60

Rank

#3 of 10

Leader

Above 45 98¢

Range

25¢-98¢

Family volume

$90

Identifier

KXRT-DEA-60

May 24, 2026, 11:38 PM UTC · 8m ago

Implied probability

92¢
Latest venue quote
May 24, 2026, 11:38 PM UTC · 8m ago

Bid

90¢

Ask

93¢

Spread

24h volume

$14

Family rank

#3 of 10

10 outcomes · The Death of Robin Hood Rotten Tomatoes score?: Above

Closes

Jun 22, 2026

Family volume

$90

Orderbook snapshot

90 / 93¢

Kalshi
3¢ spread
BidSize
90¢2
87¢700
86¢200
83¢100
82¢200
AskSize
93¢300
97¢301
98¢200
99¢1.0K

Contract terms

What resolves this market.

YES condition

If The Death of Robin Hood has a Tomatometer score of above 60 on Jun 22, 2026 at 10:00 AM ET, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 22, 2026

Identifier

KXRT-DEA-60

SF Signal
SF Index
11486.82
Regime
neutral

Browse this series

Movie Rotten Tomatoes Score Markets
Per-series collection — every live contract in the KXRT series on Kalshi, sorted by 24h volume.

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

141.8%

IY (No)

11486.8%

Adj IY

11487%

CRI

9

RV

108%

VR

0.90

Regime

neutral

Score

0.5

Full indicator table

141.8%
11486.8%
Adj IY
11487%
9
RV
108%
VR
0.90
IAR
0.7/h
Overround
5.3%

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.

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

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.

Technicalguide

Computing Liquidity Availability Score from the Orderbook

Step-by-step guide to computing the Liquidity Availability Score in TypeScript and Python, with edge cases for thin orderbooks, missing data, and the warm-cron coverage limitation.

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

Information Finance Has Arrived: A Material Map of Prediction Markets in Q2 2026

Combined Kalshi + Polymarket volume hit $66B in just four months of 2026 — already greater than the entire 2025 industry total. Bernstein projects $1T by 2030. Two venues hold 95% of US share. The distribution layer fragmented across nine retail surfaces. AI agents are 30% of Polymarket wallet activ

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.