Prevayo Blog

The Kelly Criterion is the single most powerful position sizing tool available to prediction market traders — but most people apply it wrong. This complete 2026 guide starts from first principles and walks you through every real-world application, from Kalshi elections to sports markets, with worked examples and practical guardrails.

Mean reversion is one of the most statistically robust edges available in prediction markets — and most traders completely overlook it. This complete guide walks you through the math, the setup, and the execution, from first principles to advanced applications on Kalshi and Polymarket.

Most prediction market traders update their positions on instinct. Bayesian updating gives you a mathematically rigorous framework to revise probabilities as new evidence arrives — and to size positions accordingly. Here's how to actually implement it, with formulas and real market examples.

Most prediction market traders obsess over entries but ignore exits — and that's where real edge is lost. This guide walks through quantitative take-profit frameworks, including expected value decay curves, trailing exit mechanics, and multi-bracket scaling, so you can lock in gains systematically rather than emotionally.

Statistical arbitrage in prediction markets isn't just about finding price discrepancies — it's about executing them profitably before they close. This guide breaks down the exact formulas, entry triggers, and position-sizing rules you need to capture real edge.

Entry gets the headlines, but exit mechanics determine your actual P&L in prediction markets. This guide breaks down trailing stop and take-profit frameworks with precise thresholds, execution logic, and real market examples — so you stop leaving edge on the table.

Most prediction market traders obsess over win rate. The sophisticated ones optimize for risk-adjusted returns. This guide walks through Sharpe ratio calculation, portfolio-level optimization, and a practical implementation framework you can deploy today across Kalshi and Polymarket.

Advanced Kelly Criterion goes beyond the standard formula by applying fractional multipliers (0.25–0.5×) and solving for correlated multi-market exposure. This guide covers the exact formulas, when to reduce your fraction further, and how to measure whether your sizing is actually working.

Learn how to construct diversified prediction market portfolios using correlation matrices and systematic risk management. This mathematical framework helps traders optimize exposure across multiple markets while managing systematic risk through quantitative position sizing.

Standard financial volatility models fail in prediction markets because prices are bounded between 0 and 1 — creating systematic bias near market extremes. This guide covers Logistic GARCH, Markov regime-switching frameworks, and a practical 5-step implementation architecture for boundary-aware volatility modeling that improves forecast accuracy by 30%+.

Mean reversion trading exploits price overreactions in prediction markets using statistical signals. Learn how to identify oversold opportunities and time entries for consistent edge.

While basic Kelly Criterion works for single bets, sophisticated prediction market traders need dynamic position sizing strategies that account for portfolio correlations, changing market conditions, and multi-outcome scenarios.

Options-style spread trading on Kalshi involves simultaneously buying and selling related contracts to create positions with defined risk-reward profiles. This advanced strategy can generate consistent profits while limiting downside exposure.

Arbitrage opportunities in prediction markets can generate consistent, risk-free profits when executed properly. This guide reveals advanced techniques for identifying and capitalizing on price discrepancies across platforms.

Effective prediction market risk management involves limiting individual trade risk to 2-5% of your bankroll and diversifying across market categories. Most traders fail due to poor risk management, not prediction accuracy.

Advanced Kalshi betting strategies go beyond fixed-stake trading to use confidence-based position sizing, niche market targeting, and strategic entry timing. Experienced traders applying these systematic techniques typically see 15–25% better returns per observed prediction market performance data. This guide covers every pillar of a winning Kalshi strategy system.

Sports prediction markets are delivering consistent profits while other prediction market categories struggle in 2026. Learn why data-driven sports markets offer better opportunities than political and crypto prediction markets.

The Kelly Criterion is a mathematical formula that calculates the optimal fraction of your bankroll to bet on each prediction market contract based on your estimated edge. This guide covers the formula, a step-by-step Kalshi example, fractional Kelly, and the most common mistakes traders make when sizing positions.