Any tech company announce One-time layoff greater than 40% of employees before Jan 1, 2027
Before 2027 is priced at 44¢ on Kalshi. Current book: 36¢ bid, 43¢ ask, 7¢ spread. This outcome ranks #1 of 2 inside Will any tech company announce One-time layoff greater than 40% of employees before J.
Price history
44¢ current
+18¢Contract brief
If any tech company officially announces One-time layoff greater than 40% of employees before Jan 1, 2027, then the market resolves to Yes.
Outcome
Before 2027
Rank
#1 of 2
Leader
Before 2027 37¢
Range
6¢-37¢
Family volume
$261
Identifier
KXCOMPANYACTIONLAYOFF-B-27JAN01
Jun 28, 2026, 2:38 AM UTC · 20m ago
Implied probability
Bid
36¢
Ask
43¢
Spread
7¢
24h volume
$92
Family rank
#1 of 2
2 outcomes · Will any tech company announce One-time layoff greater than 40% of employees before J
Closes
Jan 1, 2027
Family volume
$261
Orderbook snapshot
36 / 43¢
Contract terms
What resolves this market.
YES condition
If any tech company officially announces One-time layoff greater than 40% of employees before Jan 1, 2027, then the market resolves to Yes.
Venue
Kalshi
Closes
Jan 1, 2027
Identifier
KXCOMPANYACTIONLAYOFF-B-27JAN01
Event family
Will any tech company announce One-time layoff greater than 40% of employees before J.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$261
Outcomes
2
Highest price
Before 2027 37¢
Current share
35%
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.432
Observability
medium
Event type
unknown
Full indicator table
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
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.
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.
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.
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.
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 44% 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.