SimpleFunctions

By 2030 · Will the US meet its climate goals?: By 20

By 2030 is priced at 12¢ on Kalshi. Current book: 12¢ bid, 18¢ ask, 6¢ spread. This outcome ranks #1 of 2 inside Will the US meet its climate goals?: By 20.

Price history

12¢ current

3¢
10¢15¢
May 24, 2026Jun 24, 2026

Contract brief

If the US has 3317.5 million metric tonnes of CO2 emissions or fewer in a year by 2030, then the market resolves to Yes.

Outcome

By 2030

Rank

#1 of 2

Leader

By 2030 12¢

Range

2¢-12¢

Family volume

$132

Identifier

USCLIMATE-2030

Jun 24, 2026, 12:08 AM UTC · 19m ago

Implied probability

12¢
Latest venue quote
Jun 24, 2026, 12:08 AM UTC · 19m ago

Bid

12¢

Ask

18¢

Spread

24h volume

$105

Family rank

#1 of 2

2 outcomes · Will the US meet its climate goals?: By 20

Closes

Dec 31, 2035

Family volume

$132

Orderbook snapshot

12 / 18¢

Kalshi
6¢ spread
BidSize
12¢190
11¢500
11¢2
10¢16
5¢30
AskSize
18¢1
19¢33
20¢500
45¢5
60¢5

Contract terms

What resolves this market.

YES condition

If the US has 3317.5 million metric tonnes of CO2 emissions or fewer in a year by 2030, then the market resolves to Yes.

Venue

Kalshi

Closes

Dec 31, 2035

Identifier

USCLIMATE-2030

SF Signal
SF Index
70.24
Regime
neutral

Event family

Will the US meet its climate goals?: By 20.

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

Total volume

$132

Outcomes

2

Highest price

By 2030 12¢

Current share

79%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

70.2%

IY (No)

1.6%

Adj IY

70%

CRI

7

RV

589%

VR

7.29

Regime

neutral

Score

0.341

Observability

low

Event type

political

Full indicator table

70.2%
1.6%
Adj IY
70%
7
RV
589%
VR
7.29
IAR
0.7/h

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.

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.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

Blogtech

MCP Servers for Prediction Markets: Connect Claude Code to Kalshi and Polymarket

Connect Claude Code, Cursor, or Cline to Kalshi and Polymarket prediction markets via MCP. One-line setup, 18 tools, real-time market data for AI agents.

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.