Georgia Tech · KXNCAAFFINALIST-27
Georgia Tech is priced at 3¢ on Kalshi. Current book: 2¢ bid, 7¢ ask, 5¢ spread. This outcome ranks #14 of 16 inside KXNCAAFFINALIST-27.
Price history
3¢ current
+2¢Contract brief
If Georgia Tech is one of the teams to reach the College Football Playoff National Championship Game, then the market resolves to Yes.
Outcome
Georgia Tech
Rank
#14 of 16
Leader
Ohio St. 26¢
Range
1¢-26¢
Family volume
$3K
Identifier
KXNCAAFFINALIST-27-GT
Aug 17, 2026, 4:47 PM UTC · 0m ago
Implied probability
Bid
2¢
Ask
7¢
Spread
5¢
Reported volume
$333
Family rank
#14 of 16
16 outcomes · KXNCAAFFINALIST-27
Closes
Jan 25, 2027
Family volume
$3K
Orderbook snapshot
2 / 7¢
Contract terms
What resolves this market.
YES condition
If Georgia Tech is one of the teams to reach the College Football Playoff National Championship Game, then the market resolves to Yes.
Venue
Kalshi
Closes
Jan 25, 2027
Identifier
KXNCAAFFINALIST-27-GT
Event family
KXNCAAFFINALIST-27.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$3K
Outcomes
16
Highest price
Ohio St. 26¢
Current share
0%
Ohio St.
kalshi · KXNCAAFFINALIST-27-OSU
Notre Dame
kalshi · KXNCAAFFINALIST-27-ND
Oregon
kalshi · KXNCAAFFINALIST-27-ORE
Texas
kalshi · KXNCAAFFINALIST-27-TEX
Miami (FL)
kalshi · KXNCAAFFINALIST-27-MIA
Georgia
kalshi · KXNCAAFFINALIST-27-UGA
Indiana
kalshi · KXNCAAFFINALIST-27-IND
Texas Tech
kalshi · KXNCAAFFINALIST-27-TTU
LSU
kalshi · KXNCAAFFINALIST-27-LSU
Oklahoma
kalshi · KXNCAAFFINALIST-27-OKLA
Michigan
kalshi · KXNCAAFFINALIST-27-MICH
Alabama
kalshi · KXNCAAFFINALIST-27-ALA
Auburn
kalshi · KXNCAAFFINALIST-27-AUB
Georgia Tech
kalshi · KXNCAAFFINALIST-27-GT
Arizona
kalshi · KXNCAAFFINALIST-27-ARIZ
Arkansas
kalshi · KXNCAAFFINALIST-27-ARK
Indicators
Yield, cliff risk, volatility, and regime.
Regime
taker
Score
0.636
Observability
direct
Event type
sports
Related readings
Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.
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.
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.
US Recession 2025? What 1% Prediction Market Odds Get Right—and Wrong—About the Cycle
Prediction markets put 2025 US recession odds near 1%, while yield curves, economic indicators, and institutional forecasts point to much higher risk. This deep dive compares market pricing to historical base rates, Federal Reserve policy, and forecasting models to see if investors are underpricing recession risk.
How to Build a Prediction Market Trading Bot in 2026
Technical guide for TypeScript developers building prediction market trading bots. Thesis-driven architecture, Kelly criterion sizing, SimpleFunctions CLI/MCP/REST integration, and cost breakdown.
SimpleFunctions vs Oddpool vs Raw Kalshi API — Which Prediction Market Tool Should You Use?
Compare SimpleFunctions, Oddpool, and raw Kalshi/Polymarket APIs for prediction market trading. Honest breakdown of features, pricing, and when to use each tool.
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 3% 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.