Blog
Expert analysis, strategies, and insights for Kalshi & Polymarket prediction markets.
Quant Models for Political Forecasting
Quant Models for Political Forecasting
A precise, expert-level breakdown of how to build and apply quant models — correlation structures, turnout modeling, legislative base rates, and cross-platform checks — to political prediction markets
Mar 4, 2026 Quant Tools for Event Trading
Quant Tools for Event Trading
A practical guide to the quant infrastructure serious event traders use on Kalshi and Polymarket — data stacks, probability modeling, edge detection, and risk frameworks, plus how PillarLab AI's 9-pil
Mar 4, 2026 Quantifying Market Sentiment
Quantifying Market Sentiment
Learn how to quantify market sentiment on Kalshi and Polymarket using order book imbalance, volume-weighted analysis, and cross-platform signal confirmation — and how PillarLab AI's 9-pillar framework
Mar 4, 2026 Real-Time Data vs Static Analysis
Real-Time Data vs Static Analysis
Static prediction-market reports go stale the moment news breaks. Here's why real-time data pipelines — not faster-looking write-ups — are the actual edge on Kalshi and Polymarket, and how to tell the
Mar 4, 2026 Real-Time Odds Monitoring
Real-Time Odds Monitoring
Manual odds checks on Kalshi and Polymarket can't keep up with continuous order-book pricing. Here's how real-time monitoring, threshold-based alerts, and PillarLab's 9-pillar framework close the gap
Mar 4, 2026 Real-Time Polymarket Data Tools
Real-Time Polymarket Data Tools
Real-time Polymarket data separates informed traders from those reacting to stale prices. This guide breaks down the data streams, latency thresholds, and structured analysis you need to actually act
Mar 4, 2026 Real-Time Polymarket Sentiment AI Tools
Real-Time Polymarket Sentiment AI Tools
Real-time sentiment scoring alone won't beat Polymarket — learn how pro traders pair sentiment velocity with liquidity, base rates, and cross-platform data to find real edge, and how PillarLab AI's 9-
Mar 4, 2026 Regression Models for Event Pricing
Regression Models for Event Pricing
A trader's guide to building and applying regression models for event pricing on Kalshi and Polymarket — feature selection, logistic vs linear regression, regularization for small samples, and cross-v
Mar 4, 2026 Regulated vs Decentralized Prediction Markets
Regulated vs Decentralized Prediction Markets
A precise breakdown of how Kalshi's CFTC-regulated structure compares to Polymarket's on-chain oracle model — covering liquidity, settlement risk, and pricing divergence traders need to understand bef
Mar 4, 2026 Risk Management for Event Traders
Risk Management for Event Traders
A pro-trader framework for sizing, correlation, exits, liquidity, and bankroll discipline on Kalshi and Polymarket event contracts.
Mar 4, 2026 SEC Decision Prediction Markets
SEC Decision Prediction Markets
A precise breakdown of how SEC decision prediction markets are priced on Kalshi and Polymarket, what actually moves them, and how a structured 9-pillar framework helps traders spot mispriced regulator
Mar 4, 2026 Senate Race Prediction Markets
Senate Race Prediction Markets
Senate race prediction markets on Kalshi and Polymarket move on state-specific fundamentals, fundraising velocity, and thin liquidity — not national narrative. Learn how to read polling deltas, cross-
Mar 4, 2026