SimpleFunctions

Average price of electricity per kilowatt-hour in the U.S. city average for June 2026 above 20.0¢

Above 20.0¢ is priced at 76¢ on Kalshi. Current book: 2¢ bid, 99¢ ask, 97¢ spread. This outcome ranks #5 of 6 inside Will average price of electricity per kilowatt-hour in the U.S. city average for June 2026 be above.

Price history

76¢ current

+27¢
0¢25¢50¢75¢
Jun 10, 2026Jun 18, 2026

Contract brief

If the average price of electricity per kilowatt-hour in the U.S. city average for June 2026 is above 20.0¢, then the market resolves to Yes.

Outcome

Above 20.0¢

Rank

#5 of 6

Leader

Above 19.0¢ 94¢

Range

1¢-94¢

Family volume

$105

Identifier

KXPOWERKWH-26JUL14-T20.0

Jun 21, 2026, 7:48 AM UTC · 0m ago

Implied probability

76¢
Latest venue quote
Jun 21, 2026, 7:48 AM UTC · 0m ago

Bid

Ask

99¢

Spread

97¢

Reported volume

$246

Family rank

#5 of 6

6 outcomes · Will average price of electricity per kilowatt-hour in the U.S. city average for June 2026 be above

Closes

Jul 14, 2026

Family volume

$105

Orderbook snapshot

2 / 99¢

Kalshi
97¢ spread
BidSize
100¢1.2K
2¢204
AskSize
99¢100

Contract terms

What resolves this market.

YES condition

If the average price of electricity per kilowatt-hour in the U.S. city average for June 2026 is above 20.0¢, then the market resolves to Yes.

Venue

Kalshi

Closes

Jul 14, 2026

Identifier

KXPOWERKWH-26JUL14-T20.0

SF Signal
Regime
neutral

Event family

Will average price of electricity per kilowatt-hour in the U.S. city average for June 2026 be above.

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

Total volume

$105

Outcomes

6

Highest price

Above 19.0¢ 94¢

Current share

0%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.5

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

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.

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.