Above 55 · How many Senate members will vote Yea on a crypto market structure bill (as defined in KXCRYPTOSTRUCTURE)?: Above
Above 55 is priced at 50¢ on Kalshi. Current book: 35¢ bid, 41¢ ask, 6¢ spread. This outcome ranks #2 of 8 inside How many Senate members will vote Yea on a crypto market structure bill (as defined in KXCRYPTOSTRUCTURE)?: Above.
Price history
50¢ current
−36¢Contract brief
If the number of Senate voting Yea on a crypto market structure bill (as defined in KXCRYPTOSTRUCTURE) before Jan 1, 2027 is above 55, then the market resolves to Yes.
Outcome
Above 55
Rank
#2 of 8
Leader
Above 50 40¢
Range
2¢-40¢
Family volume
$737
Identifier
KXVOTECLARITY-26MAY16-T55
Aug 1, 2026, 12:38 AM UTC · 27m ago
Implied probability
Bid
35¢
Ask
41¢
Spread
6¢
Reported volume
$684
Family rank
#2 of 8
8 outcomes · How many Senate members will vote Yea on a crypto market structure bill (as defined in KXCRYPTOSTRUCTURE)?: Above
Closes
Jan 1, 2027
Family volume
$737
Orderbook snapshot
35 / 41¢
Contract terms
What resolves this market.
YES condition
If the number of Senate voting Yea on a crypto market structure bill (as defined in KXCRYPTOSTRUCTURE) before Jan 1, 2027 is above 55, then the market resolves to Yes.
Venue
Kalshi
Closes
Jan 1, 2027
Identifier
KXVOTECLARITY-26MAY16-T55
Event family
How many Senate members will vote Yea on a crypto market structure bill (as defined in KXCRYPTOSTRUCTURE)?: Above.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$737
Outcomes
8
Highest price
Above 50 40¢
Current share
0%
Above 50
kalshi · KXVOTECLARITY-26MAY16-T50
Above 55
kalshi · KXVOTECLARITY-26MAY16-T55
Above 58
kalshi · KXVOTECLARITY-26MAY16-T58
Above 60
kalshi · KXVOTECLARITY-26MAY16-T60
Above 62
kalshi · KXVOTECLARITY-26MAY16-T62
Above 64
kalshi · KXVOTECLARITY-26MAY16-T64
Above 66
kalshi · KXVOTECLARITY-26MAY16-T66
Above 68
kalshi · KXVOTECLARITY-26MAY16-T68
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
Odds pages
Related prediction questions
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
How to Scan Prediction Market Orderbooks: Spread, Depth, and Liquidity Analysis
Practical guide to analyzing orderbook data from Kalshi and Polymarket. Learn spread, depth, liquidity scoring, and executable edge calculation.
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.
Prediction market liquidity: why depth matters more than volume for serious traders
Why orderbook depth matters more than volume for prediction market traders. Real Kalshi examples, liquidity scoring framework, and how to avoid slippage.
When a Single Senator Outprices the Whole Bill
Why one senator's Yea market at 44¢ can coexist with a ≥58 Senate Yea aggregate at 10¢. Walking the math of vote-clustering correlation in prediction markets.
SimpleFunctions context
Index, screen, query, and monitor.
Prediction Market Index
Market-wide volatility, geo risk, breadth, and activity around this contract.
Market Screener
Filter adjacent contracts by volume, expiry, IY, CRI, venue, and theme.
Event Probability API
Read 50% as a structured event probability object for agents and apps.
Realtime Data API
Prices, orderbooks, movement, heat, and liquidity indicators across venues.
World State API
Compact market-aware context packets for agent sessions and scheduled refresh.
Hedging Workflows
Map a thesis or exposure to candidate event markets and monitoring paths.
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.