SimpleFunctions

80° to 81° · Will the high temp in NYC

80° to 81° is priced at 14¢ on Kalshi. Current book: 13¢ bid, 14¢ ask, 1¢ spread. This outcome ranks #3 of 6 inside Will the high temp in NYC.

Price history

14¢ current

1¢
10¢
May 28, 2026May 28, 2026

Contract brief

If the highest temperature recorded in Central Park, New York for May 29, 2026 as reported by the National Weather Service's Climatological Report (Daily), is between 80-81°, then the market resolves to Yes.

Outcome

80° to 81°

Rank

#3 of 6

Leader

78° to 79° 45¢

Range

1¢-45¢

Family volume

$7K

Identifier

KXHIGHNY-26MAY29-B80.5

May 28, 2026, 7:08 PM UTC · 13m ago

Implied probability

14¢
Latest venue quote
May 28, 2026, 7:08 PM UTC · 13m ago

Bid

13¢

Ask

14¢

Spread

24h volume

$889

Family rank

#3 of 6

6 outcomes · Will the high temp in NYC

Closes

May 30, 2026

Family volume

$7K

Orderbook snapshot

13 / 14¢

Kalshi
1¢ spread
BidSize
13¢1
12¢19
11¢103
10¢200
9¢155
AskSize
14¢250
15¢144
16¢2
19¢20
20¢681

Contract terms

What resolves this market.

YES condition

If the highest temperature recorded in Central Park, New York for May 29, 2026 as reported by the National Weather Service's Climatological Report (Daily), is between 80-81°, then the market resolves to Yes.

Venue

Kalshi

Closes

May 30, 2026

Identifier

KXHIGHNY-26MAY29-B80.5

SF Signal
SF Index
50000.00
Regime
neutral

Event family

Will the high temp in NYC.

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

Total volume

$7K

Outcomes

6

Highest price

78° to 79° 45¢

Current share

8%

Indicators

Yield, cliff risk, volatility, and regime.

CRI

8

Overround

-0.0%

Regime

neutral

Score

0.5

Full indicator table

8
Overround
-0.0%

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.

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

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.

Conceptmethodology

Maker / Taker Regime in Prediction Markets: How to Read the Orderbook State

Three regime states (maker-dominated, taker-dominated, neutral) and how to read which one a Kalshi or Polymarket contract is in. Strategy follows regime, not thesis.

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.