SimpleFunctions

Before 2029 · KXFTAPRC-29

Before 2029 is priced at 36¢ on Kalshi. Current book: 32¢ bid, 35¢ ask, 3¢ spread. This page tracks a standalone prediction-market contract.

Price history

36¢ current

1¢
30¢40¢
May 25, 2026Jun 23, 2026

Contract brief

If a new free trade agreement with China has become law before January 20, 2029, then the market resolves to Yes.

Outcome

Before 2029

Rank

Standalone

Leader

Range

Family volume

$236

Identifier

KXFTAPRC-29

Jun 24, 2026, 8:38 AM UTC · 2m ago

Implied probability

36¢
Latest venue quote
Jun 24, 2026, 8:38 AM UTC · 2m ago

Bid

32¢

Ask

35¢

Spread

24h volume

$236

Family rank

Standalone

Standalone contract

Closes

Jan 20, 2029

Family volume

$236

Orderbook snapshot

32 / 35¢

Kalshi
3¢ spread
BidSize
32¢500
31¢511
30¢23
29¢433
28¢133
AskSize
35¢20
36¢19
37¢81
40¢17
41¢500

Contract terms

What resolves this market.

YES condition

If a new free trade agreement with China has become law before January 20, 2029, then the market resolves to Yes.

Venue

Kalshi

Closes

Jan 20, 2029

Identifier

KXFTAPRC-29

SF Signal
SF Index
41.20
Regime
neutral

Event family

KXFTAPRC-29.

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

Total volume

$236

Outcomes

1

Highest price

Before 2029 32¢

Current share

100%

Indicators

Yield, cliff risk, volatility, and regime.

Regime

neutral

Score

0.409

Observability

medium

Event type

political

Full indicator table

82.4%
18.2%
Adj IY
41%
2

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.

Opinionanalysis

The 1992 Pound Trade Has a $82M Polymarket Twin: Conviction Macro Bets in the Age of On-Chain Liquidity

Soros and Druckenmiller scaled their pound short to $10B in a single September 1992 day. Théo deployed $80M across 11 Polymarket accounts on Trump 2024 and netted ~$82.3M. The mechanic — proprietary signal, conviction sizing, asymmetric payoff — is identical. The instrument is new.

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.

Technicalrisk

Reading Prediction Market Orderbooks: Liquidity, Spread, and When to Enter

How to read prediction market orderbooks on Kalshi. Covers bid-ask spread analysis, liquidity scoring, executable edge calculation, and when thin markets are opportunities vs traps.

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.