In Canada, the introduction of prediction markets such as Polymarket and Kalshi offers users the opportunity to speculate on real-world events through buying and selling contracts related to economic indicators, financial markets, and climate trends. Unlike traditional gambling establishments, these markets operate by users betting against each other, with the platforms earning revenue through small transaction fees.
Recent research conducted by Yale University and London Business School reveals that only a small fraction, approximately three percent, of Polymarket accounts, known as “skilled traders,” consistently achieve profits and accurate predictions. The majority of losing traders fund the successes of this skilled minority.
As these prediction markets gear up to enter Canada in partnership with Wealthsimple, experts emphasize the importance of understanding the competitive landscape. Individuals are cautioned to approach these markets with sophistication and not to underestimate the skill level required to succeed.
The study, though yet to undergo peer review, draws data from Polymarket, indicating a substantial trading volume of $13.76 billion US across 1.72 million accounts. It highlights that nearly 70 percent of the trading volume stems from less-skilled traders, thus emphasizing that the winners in the market largely benefit from the mistakes made by the majority.
Skilled traders are identified as individuals possessing rapid news processing skills, extensive trading experience, and sometimes advanced programming knowledge. These traders engage in systematic processes and leverage data from various sources to capitalize on the crowd’s errors.
The popularity of prediction markets has surged in recent years, with trading volumes skyrocketing from $100 million US in 2024 to $24 billion US in 2026. Financial firms, recognizing the potential of skilled traders in these markets, have started recruiting individuals with backgrounds in finance and economics.
Experts caution against viewing prediction markets as a quick money-making scheme, emphasizing the need for a nuanced understanding of the complexities involved. Luis Seco, a professor at the University of Toronto, suggests that individuals should approach these markets as entertainment rather than a reliable income source. He warns of the dominance of large players like hedge funds and the risks involved in competing against seasoned professionals.
Overall, the research underscores the challenges and complexities of prediction markets, urging participants to exercise caution and awareness of the competitive dynamics at play.
