Guides and insights on prediction markets, trading strategies, and market analysis.
Kalshi's 15-minute crypto and gold contracts settle four times an hour. Here is what makes them appealing, where they cost traders money, and how to decide whether they belong in your strategy.
Read articleA practical guide to trading the 2026 Senate elections on Kalshi — the markets available, the races that decide control, and strategies for polls, election night, and everything in between.
Read articleA guide to trading golf's biggest tournament on Kalshi — from understanding how Masters contracts work to building strategies around player form, course history, and live momentum.
Read articleA practical guide to trading oil price contracts on Kalshi — from understanding how oil markets move to building strategies around EIA reports, OPEC decisions, and geopolitical risk.
Read articleA breakdown of the legal, regulatory, and political challenges facing Kalshi and other prediction markets as they push into sports event contracts — and why the outcome matters for every trader.
Read articleLearn the most popular Kalshi trading strategies used by experienced prediction market traders — from momentum plays and news catalysts to hedging, arbitrage, and portfolio construction.
Read articleA beginner-friendly guide to prediction markets — what they are, how they work, and why traders, researchers, and analysts use them to forecast real-world events.
Read articleA deep comparison of prediction markets and traditional polling — how each works, where each excels, and what the research says about their accuracy.
Read articleLearn how to interpret prediction market prices, convert them to implied probabilities, understand bid-ask spreads, and spot value opportunities.
Read articleWhat liquidity and bid-ask spreads mean in prediction markets, why they matter for traders, and how to use spread data to find opportunities.
Read articleHow prediction markets went from academic experiments to CFTC-regulated exchanges, and what this means for traders, researchers, and the future of forecasting.
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