SimpleFunctions

Before Jun 6, 2026 · Will the House pass a reconciliation bill before December 31, 2026?: Before J

Before Jun 6, 2026 is priced at 1¢ on Kalshi. Current book: 0¢ bid, 1¢ ask, 1¢ spread. This outcome ranks #5 of 5 inside Will the House pass a reconciliation bill before December 31, 2026?: Before J.

Price history

1¢ current

21¢
0¢25¢50¢
May 21, 2026Jun 4, 2026

Contract brief

If a reconciliation bill passes the House before June 06, 2026, then the market resolves to Yes.

Outcome

Before Jun 6, 2026

Rank

#5 of 5

Leader

Before Jan 1, 2027 95¢

Range

1¢-95¢

Family volume

$23K

Identifier

KXRECNCH-26-JUN06

Jun 6, 2026, 5:05 AM UTC · 0m ago

Implied probability

1¢
Latest venue quote
Jun 6, 2026, 5:05 AM UTC · 0m ago

Bid

Ask

Spread

24h volume

$4K

Family rank

#5 of 5

5 outcomes · Will the House pass a reconciliation bill before December 31, 2026?: Before J

Closes

Jun 6, 2026

Family volume

$23K

Orderbook snapshot

0 / 1¢

Kalshi
1¢ spread
BidSize
AskSize
3¢426
4¢250
5¢4.9K
9¢5.0K
100¢609K

Contract terms

What resolves this market.

YES condition

If a reconciliation bill passes the House before June 06, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 6, 2026

Identifier

KXRECNCH-26-JUN06

SF Signal
Regime
neutral

Event family

Will the House pass a reconciliation bill before December 31, 2026?: Before J.

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

Total volume

$23K

Outcomes

5

Highest price

Before Jan 1, 2027 95¢

Current share

17%

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

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.

Blogpolitics

US Midterm Elections 2026 Prediction Markets: Trading the Battle for Congress

A deep‑dive guide for prediction market traders on the 2026 US midterm elections: House and Senate control odds, key races, Trump’s impact, economic and approval scenarios, polling accuracy, and data‑driven 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.