SimpleFunctions

73° to 74° · Will the minimum temperature

73° to 74° is priced at 24¢ on Kalshi. Current book: 18¢ bid, 26¢ ask, 8¢ spread. This outcome ranks #2 of 6 inside Will the minimum temperature.

Price history

24¢ current

10¢
0¢25¢50¢
Jul 11, 2026Jul 13, 2026

Contract brief

If the minimum temperature recorded at Atlanta for Jul 12, 2026, is between 73-74° fahrenheit according to the National Weather Service's Climatological Report (Daily), then the market resolves to Yes.

Outcome

73° to 74°

Rank

#2 of 6

Leader

75° to 76° 77¢

Range

1¢-77¢

Family volume

$11K

Identifier

KXLOWTATL-26JUL12-B73.5

Jul 12, 2026, 11:38 PM UTC · 24m ago

Implied probability

24¢
Latest venue quote
Jul 12, 2026, 11:38 PM UTC · 24m ago

Bid

18¢

Ask

26¢

Spread

24h volume

$2K

Family rank

#2 of 6

6 outcomes · Will the minimum temperature

Closes

Jul 13, 2026

Family volume

$11K

Orderbook snapshot

18 / 26¢

Kalshi
8¢ spread
BidSize
18¢100
15¢4
10¢4
5¢3
4¢6
AskSize
26¢5
27¢12
28¢100
33¢9
39¢7

Contract terms

What resolves this market.

YES condition

If the minimum temperature recorded at Atlanta for Jul 12, 2026, is between 73-74° fahrenheit according to the National Weather Service's Climatological Report (Daily), then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 13, 2026

Identifier

KXLOWTATL-26JUL12-B73.5

SF Signal
SF Index
76190.00
Regime
neutral

Event family

Will the minimum temperature.

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

Total volume

$11K

Outcomes

6

Highest price

75° to 76° 77¢

Current share

14%

Indicators

Yield, cliff risk, volatility, and regime.

CRI

4

VR

0.45

IAR

2.0/h

LAS

0.24

Regime

neutral

Score

0.5

Full indicator table

4
VR
0.45
IAR
2.0/h
LAS
0.24

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.