Blog
Expert analysis, strategies, and insights for Kalshi & Polymarket prediction markets.
Machine Learning for Cross-Market Correlations
Machine Learning for Cross-Market Correlations
How cross-market machine learning models detect correlated mispricing between Kalshi and Polymarket contracts — and how to build a repeatable process around it.
Mar 4, 2026 Machine Learning Models for Event Forecasting
Machine Learning Models for Event Forecasting
A practical breakdown of which machine learning architectures actually work for forecasting Kalshi and Polymarket event contracts — time-series, classification ensembles, NLP sentiment models, and how
Mar 4, 2026 Macro Markets: Kalshi vs Traditional Econ Forecasts
Macro Markets: Kalshi vs Traditional Econ Forecasts
A precise comparison of how Kalshi's real-time macro contracts diverge from traditional Wall Street forecasts on CPI, Fed decisions, jobs reports, and recession probability — and where PillarLab AI's
Mar 4, 2026 Macro vs Crypto Event Volume Comparison
Macro vs Crypto Event Volume Comparison
Macro contracts dominate total volume on Kalshi and Polymarket, but crypto markets swing harder on thinner liquidity. Here's how to read the volume split and trade both categories with a structured ed
Mar 4, 2026 Manual Research vs AI Analysis
Manual Research vs AI Analysis
Manual research on Kalshi and Polymarket can't scale past a handful of markets, while generic AI summaries lack the structure to catch real mispricing. Here's how a 9-pillar AI framework combined with
Mar 4, 2026 March Madness Prediction Markets 2026
March Madness Prediction Markets 2026
March Madness prediction markets on Kalshi and Polymarket reward systematic pricing analysis over bracket instinct. Here's how contract structure, bracket bias, and real-time repricing create exploita
Mar 4, 2026 Market Efficiency in Prediction Markets
Market Efficiency in Prediction Markets
Prediction market prices aren't automatically efficient — liquidity gaps, information lag, and cross-platform dislocation create real, tradeable mispricings on Kalshi and Polymarket. Here's how to spo
Mar 4, 2026 Market Maker Behavior in Event Markets
Market Maker Behavior in Event Markets
Market makers on Kalshi and Polymarket aren't quoting "true" probabilities — they're managing inventory, jump risk, and adverse selection. Here's how to read spread behavior, quote skew, and bot-drive
Mar 4, 2026 Market Manipulation in Thin Markets
Market Manipulation in Thin Markets
Thin markets on Kalshi and Polymarket are structurally easier to manipulate than liquid ones — learn to read order book depth, volume anomalies, and cross-platform divergence before you trust a price.
Mar 4, 2026 Market Microstructure of Polymarket
Market Microstructure of Polymarket
A pro-trader breakdown of Polymarket's order book mechanics — depth, spreads, wallet-level order flow, and cross-venue pricing gaps — and how PillarLab AI's 9-pillar analysis surfaces real edge versus
Mar 4, 2026 Measuring Edge in Binary Markets
Measuring Edge in Binary Markets
A precise, no-fluff guide to quantifying edge in Kalshi and Polymarket binary contracts — expected value, Kelly sizing, calibration tracking, and cross-platform price gaps — with a look at how PillarL
Mar 4, 2026 Midterm 2026 Senate & House Markets
Midterm 2026 Senate & House Markets
A precise breakdown of 2026 midterm Senate and House prediction markets on Kalshi and Polymarket — seat-by-seat pricing, cross-platform divergence, fundraising signals, and how PillarLab AI's 9-pillar
Mar 4, 2026