Georgia Tech · KXNCAAFTOPAPRANK-26W1T25
Georgia Tech is priced at 20¢ on Kalshi. Current book: 0¢ bid, 10¢ ask, 10¢ spread. This outcome ranks #15 of 16 inside KXNCAAFTOPAPRANK-26W1T25.
Price history
20¢ current
Contract brief
If Georgia Tech is ranked top 25 on the College Football AP Poll Week 1 Rankings for the 2026-27 season, then the market resolves to Yes.
Outcome
Georgia Tech
Rank
#15 of 16
Leader
Ohio St. 97¢
Range
11¢-97¢
Family volume
$0
Identifier
KXNCAAFTOPAPRANK-26W1T25-GT
Jul 26, 2026, 2:38 AM UTC · 18m ago
Implied probability
Bid
0¢
Ask
10¢
Spread
10¢
Reported volume
$5
Family rank
#15 of 16
16 outcomes · KXNCAAFTOPAPRANK-26W1T25
Closes
Sep 29, 2026
Family volume
$0
Orderbook snapshot
0 / 10¢
Contract terms
What resolves this market.
YES condition
If Georgia Tech is ranked top 25 on the College Football AP Poll Week 1 Rankings for the 2026-27 season, then the market resolves to Yes.
Venue
Kalshi
Closes
Sep 29, 2026
Identifier
KXNCAAFTOPAPRANK-26W1T25-GT
Event family
KXNCAAFTOPAPRANK-26W1T25.
The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.
Total volume
$0
Outcomes
16
Highest price
Ohio St. 97¢
Current share
—
Ohio St.
kalshi · KXNCAAFTOPAPRANK-26W1T25-OSU
Notre Dame
kalshi · KXNCAAFTOPAPRANK-26W1T25-ND
Texas
kalshi · KXNCAAFTOPAPRANK-26W1T25-TEX
Indiana
kalshi · KXNCAAFTOPAPRANK-26W1T25-IND
Oregon
kalshi · KXNCAAFTOPAPRANK-26W1T25-ORE
Georgia
kalshi · KXNCAAFTOPAPRANK-26W1T25-UGA
Miami (FL)
kalshi · KXNCAAFTOPAPRANK-26W1T25-MIA
Texas A&M
kalshi · KXNCAAFTOPAPRANK-26W1T25-TXAM
LSU
kalshi · KXNCAAFTOPAPRANK-26W1T25-LSU
Ole Miss
kalshi · KXNCAAFTOPAPRANK-26W1T25-MISS
Alabama
kalshi · KXNCAAFTOPAPRANK-26W1T25-ALA
Michigan
kalshi · KXNCAAFTOPAPRANK-26W1T25-MICH
Texas Tech
kalshi · KXNCAAFTOPAPRANK-26W1T25-TTU
USC
kalshi · KXNCAAFTOPAPRANK-26W1T25-USC
Georgia Tech
kalshi · KXNCAAFTOPAPRANK-26W1T25-GT
Florida
kalshi · KXNCAAFTOPAPRANK-26W1T25-FLA
Indicators
Yield, cliff risk, volatility, and regime.
Regime
neutral
Score
0.5
Full indicator table
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.
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.
Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens
Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.
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 20% 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.