Colombia's 2026 presidential election represents a critical moment in the nation's political future, with the first round of voting set to determine which candidates advance to a potential runoff. This event aggregates prediction markets for four major candidates competing in that opening round: Daniel Quintero, Claudia López, Iván Cepeda Castro, and Abelardo de la Espriella. These markets reflect real-time forecasts from traders and analysts worldwide who assign probabilities to each candidate's likelihood of winning the first round. By grouping these four markets together, you can quickly compare the relative standing of Colombia's leading presidential contenders in a single view. Each market's price represents the collective assessment of the prediction market—higher prices indicate stronger perceived chances of winning the first round, while lower prices suggest lower probability. As you examine the prices below, look for disparities between candidates that might reveal market consensus about voter preferences, campaign momentum, or underlying political dynamics. Pay attention to liquidity, the volume of trading activity, which can indicate how confident the market is in its price signals; deeper liquidity generally suggests more reliable forecasts. Watch for price movements over time, as shifts may reflect breaking news, campaign developments, or polling data that influences expectations. Prediction markets have historically proven informative for understanding political outcomes, offering a different perspective than traditional polling by incorporating the financial incentives of traders to get their assessments correct. Whether you're following Colombian politics closely or seeking to understand how international markets forecast electoral outcomes, these grouped markets provide transparent, real-time probability estimates for the country's presidential race.