Kalshi Consensus Thermometer

Real-time consensus fragility analysis for regulated prediction markets

Last Fetched: Feb 17, 2026, 09:24 PM
Data Source: Kalshi Public API
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Data Delay Notice

Consensus metrics are updated hourly from Kalshi's public API. Data may have minute-level latency and should not be used for real-time trading decisions. This is a cognitive science research tool for studying consensus dynamics.

Current Market Consensus Status

Current KXFED Divergence: 7.0% - Fed Funds Rate Consensus

CDI: 0.67 high

Current KXCPI Divergence: 0.0% - CPI Inflation Consensus

CDI: 0.95 extreme

Current KXINX Divergence: 0.0% - S&P 500 Daily Consensus

CDI: 0.50 extreme

Kalshi Prediction Market Consensus

Real-time consensus fragility indicators for prediction markets

Last Fetched: Feb 17, 2026, 09:24 PM
Data Source: Kalshi Public API

T1 Macro Core Indicators

Primary consensus metrics - always monitored

LOW MODERATE HIGH EXTREME 0 50 70 85 100 0.67 HIGH
Fed Rates
Implied Probability: 38%
LOW MODERATE HIGH EXTREME 0 50 70 85 100 0.95 EXTREME
CPI Inflation
Implied Probability: 98%
LOW MODERATE HIGH EXTREME 0 50 70 85 100 0.50 EXTREME
S&P 500 Daily
Implied Probability: 50%
📊 Low Data Quality

T3 Category Belief Concentration

Aggregate consensus density across market categories

Category Belief Concentration

Radar view of consensus density across market categories

0.25 0.50 0.75 1.00 Crypto 0.60 +0.0% Economics 0.74 +0.0% Politics 0.60 +0.0% Sports 0.60 +0.0% 0.64 Avg CDI
Larger shaded area = more concentrated beliefs
0.20
0.95
Crypto (3 markets) 0.60 +0.0%
Economics (15 markets) 0.74 +0.0%
Politics (3 markets) 0.60 +0.0%
Sports (3 markets) 0.60 +0.0%

Historical CDI Trends

Consensus Density Index over time

Kalshi CDI Fragility Index History

Consensus Density Index over time for prediction markets

1.0 0.75 0.50 0.25 0 Feb 17 Feb 17 Feb 17 ! ! CDI
S&P 500 Daily (0.50)
Fed Rates (0.67)
CPI Inflation (0.95)
Extreme Low
! Divergence Alert

Historical CDI values reflect consensus fragility states. Not a price prediction tool. Not affiliated with Kalshi.

Cognitive science research tool. Not investment advice. Not affiliated with Kalshi.

→ View Methodology

Methodology

The Kalshi Consensus Thermometer applies the Consensus Density Index (CDI) and Belief System Entropy (BSE) framework to regulated prediction market data. This methodology was originally developed for analyzing consensus dynamics in precious metals markets and has been adapted for binary outcome prediction markets.

Key Metrics:

  • CDI (0.20-0.95): Measures belief concentration. Higher values indicate more crowded consensus, which correlates with increased fragility.
  • BSE (0.10-0.85): Measures belief diversity using Shannon entropy. Lower values indicate less diversity and higher fragility risk.
  • DMS (0-1): Divergence Magnitude Score measuring the gap between current price and 7-day moving average.
  • CV (0.25-0.90): Consensus Velocity measuring the speed of belief change.

For a complete explanation of the theoretical framework and calculation methods, see the Consensus Thermometer Framework .

⚠️ Important Disclaimer

This is a cognitive science research tool for studying consensus dynamics. This is NOT investment advice.

The Kalshi Consensus Thermometer is designed for academic research into belief concentration and consensus fragility patterns. The metrics displayed should not be used as the basis for any trading or investment decisions.

AhaSignals Laboratory is not affiliated with Kalshi, Inc. All market data is sourced from Kalshi's public API and is provided for research purposes only.

Prediction markets involve substantial risk of loss. Past consensus patterns do not predict future market movements. Always conduct your own research and consult with qualified financial advisors before making any investment decisions.

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