SimpleFunctions

1,500 to 1,749.99 · ETH price on Jan 1, 2027

1,500 to 1,749.99 is priced at 13¢ on Kalshi. Current book: 8¢ bid, 12¢ ask, 4¢ spread. This outcome ranks #3 of 16 inside ETH price on Jan 1, 2027.

Price history

13¢ current

+12¢
0¢10¢
May 20, 2026Jun 19, 2026

Contract brief

If the simple average of the sixty seconds of CF Benchmarks' ETHUSD_RTI before 12 AM EST is between 1500.00-1749.99 at 12 AM EST on Jan 1, 2027, then the market resolves to Yes.

Outcome

1,500 to 1,749.99

Rank

#3 of 16

Leader

1,250 to 1,499.99 11¢

Range

1¢-11¢

Family volume

$813

Identifier

KXETHY-27JAN0100-B1625

Jun 19, 2026, 11:08 AM UTC · 4m ago

Implied probability

13¢
Latest venue quote
Jun 19, 2026, 11:08 AM UTC · 4m ago

Bid

Ask

12¢

Spread

24h volume

$135

Family rank

#3 of 16

16 outcomes · ETH price on Jan 1, 2027

Closes

Jan 1, 2027

Family volume

$813

Orderbook snapshot

8 / 12¢

Kalshi
4¢ spread
BidSize
8¢1.5K
8¢499
8¢200
7¢500
6¢500
AskSize
12¢532
13¢3.0K
14¢727
15¢1.5K
15¢1.5K

Contract terms

What resolves this market.

YES condition

If the simple average of the sixty seconds of CF Benchmarks' ETHUSD_RTI before 12 AM EST is between 1500.00-1749.99 at 12 AM EST on Jan 1, 2027, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 1, 2027

Identifier

KXETHY-27JAN0100-B1625

SF Signal
SF Index
2144.38
Regime
neutral

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

2144.4%

IY (No)

16.2%

Adj IY

2144%

CRI

12

RV

1361%

VR

3.21

Regime

neutral

Score

0.341

Observability

low

Event type

financial

Full indicator table

2144.4%
16.2%
Adj IY
2144%
12
RV
1361%
VR
3.21
IAR
1.4/h
Overround
-0.5%

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.

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.

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.

Technicalpatterns

Cross-Venue Edge Detection: Kalshi vs Polymarket

How to detect and exploit price divergences between Kalshi and Polymarket. Covers why pure arbitrage fails, cross-venue edge detection algorithms, and thesis-informed trading strategies.

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.