SimpleFunctions

Natural gas close price above 2.999 USD/MMBtu on June 30, 2026 at 5:00 PM EDT

above $2.999 is priced at 84¢ on Kalshi. Current book: 85¢ bid, 94¢ ask, 9¢ spread. This outcome ranks #7 of 16 inside Will the natural gas close price be above.

Price history

84¢ current

+22¢
50¢75¢
Jun 1, 2026Jun 25, 2026

Contract brief

If the close price of the 1-minute candlestick for natural gas using the NGDQ6 contract on June 30, 2026 at 5:00 PM EDT is above 2.999 USD/MMBtu, then the market resolves to Yes.

Outcome

above $2.999

Rank

#7 of 16

Leader

above $0.999 99¢

Range

2¢-99¢

Family volume

$2K

Identifier

KXNATGASMON-26JUN3017-T2.999

Jun 25, 2026, 1:08 AM UTC · 57m ago

Implied probability

84¢
Latest venue quote
Jun 25, 2026, 1:08 AM UTC · 57m ago

Bid

85¢

Ask

94¢

Spread

Reported volume

$191

Family rank

#7 of 16

16 outcomes · Will the natural gas close price be above

Closes

Jun 30, 2026

Family volume

$2K

Orderbook snapshot

85 / 94¢

Kalshi
9¢ spread
BidSize
85¢586
69¢238
53¢182
23¢43
15¢2.0K
AskSize
94¢500
95¢500
97¢243
98¢54
99¢2.5K

Contract terms

What resolves this market.

YES condition

If the close price of the 1-minute candlestick for natural gas using the NGDQ6 contract on June 30, 2026 at 5:00 PM EDT is above 2.999 USD/MMBtu, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 30, 2026

Identifier

KXNATGASMON-26JUN3017-T2.999

SF Signal
SF Index
45935.59
Regime
taker

Indicators

Yield, cliff risk, volatility, and regime.

CRI

7

VR

1.04

IAR

1.8/h

Overround

10.6%

Regime

taker

Score

0.636

Observability

direct

Event type

financial

Full indicator table

7
VR
1.04
IAR
1.8/h
Overround
10.6%

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

Volatility Arbitrage in Prediction Markets: Why Political Favorites Above 60¢ Are Systematically Underconfident

A binary contract at price p has variance p(1-p). Le 2026 (292M trades) finds political markets underconfident at slopes 0.93-1.83 — meaning a 70¢ contract corresponds to a true probability near 83%. Four systematic vol-arb trades follow from the calibration evidence.

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.

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.