Polymarket Users Lose Money as Automated Bots Steal Profits: A Shocking Study

A recent Bloomberg analysis reveals a stark reality for the prediction market platform Polymarket: most users lose money, while a small number of automated trading bots capture the vast majority of profits. The study, which reviewed approximately two million addresses active since early 2025, found that over 100,000 accounts recorded losses exceeding $1,000. In contrast, around 50,000 accounts registered profits of less than $1,000. Profits were primarily captured by the top 1% of automated bots, which excel at early market entry and price execution. Regular retail investors incurred a total loss of $131 million due to limitations in their entry timing. Joshua Della Vedova, a professor at the University of San Diego who analyzed the data with Bloomberg, explained that the bots’ success is not due to superior predictive ability. Instead, he noted they profit from an execution advantage, which allows them to enter markets early and secure favorable prices. Vedova added that while retail investors were more often correct in predicting outcomes, they ultimately lost tens of millions of dollars by entering trades too late at disadvantageous prices.

Understanding the Polymarket Ecosystem

Polymarket is a decentralized prediction market platform where users bet on real-world outcomes, such as election results or economic events. It operates on the Polygon blockchain, using USDC stablecoins for transactions. The platform has gained significant traction since early 2025, attracting both retail investors and automated trading bots. However, the Bloomberg analysis paints a troubling picture for the average user. The study’s findings highlight a fundamental imbalance in the market, where speed and execution precision outweigh predictive accuracy. This raises critical questions about the fairness and accessibility of prediction markets for everyday participants.

The Role of Automated Bots in Profit Concentration

Automated bots are software programs that execute trades based on predefined algorithms. They can analyze market conditions and place orders in milliseconds, far faster than any human. On Polymarket, these bots dominate the top profit tiers. The analysis found that the top 1% of accounts, mostly bots, captured over 80% of all profits. These bots excel at early market entry, often buying shares at the lowest possible prices before retail investors even notice opportunities. Their execution advantage allows them to secure favorable prices consistently, creating a significant gap between bot and human performance.

Why Retail Investors Struggle

Retail investors, by contrast, face several disadvantages. They often rely on manual monitoring and slower decision-making processes. By the time they identify a promising market and execute a trade, bots have already driven prices up. This timing gap leads to worse entry points and reduced profitability. The Bloomberg study found that retail investors were correct in their predictions more often than bots, but still lost money overall. Their accuracy rate was approximately 55%, compared to 52% for bots. However, bots’ superior execution meant they profited from smaller, more frequent trades, while retail investors suffered larger losses from late entries.

Key Findings from the Bloomberg Analysis

The analysis reviewed data from approximately two million addresses active on Polymarket since January 2025. Key findings include:

• Loss concentration: Over 100,000 accounts lost more than $1,000 each.
• Profit distribution: Around 50,000 accounts earned less than $1,000 in profits.
• Bot dominance: The top 1% of automated bots captured the majority of profits.
• Retail losses: Regular investors lost a combined $131 million.
• Execution advantage: Bots profited from early market entry, not better predictions.

The Execution Advantage Explained

Joshua Della Vedova, the University of San Diego professor, provided critical insights into the bots’ success. He stated that bots do not have superior predictive abilities. Instead, they leverage an execution advantage. This means they can enter markets early, often within seconds of a market opening, and secure shares at the lowest possible prices. Retail investors, who may take minutes or hours to act, end up buying at inflated prices. This dynamic creates a systematic disadvantage for humans, regardless of their analytical skills or knowledge.

Implications for Retail Traders

For retail traders, these findings are sobering. The prediction market is not a level playing field. Even with accurate predictions, late entry can turn a winning bet into a losing one. The study suggests that retail investors should reconsider their strategies. Some experts recommend using automated tools or joining trading groups to improve execution speed. Others caution that retail participation may be inherently risky without access to advanced technology.

Broader Impact on Prediction Markets

The Polymarket study has broader implications for the prediction market industry. It raises questions about market fairness and the role of automation. Regulators may take note, as bot dominance could lead to calls for oversight. Market operators might need to implement rules to balance the playing field, such as time delays for orders or limits on bot activity. However, such changes could reduce market efficiency and liquidity. The industry faces a delicate balance between innovation and fairness.

Timeline of Polymarket’s Growth

Polymarket launched in 2020 but saw explosive growth in 2024 and early 2025. Key milestones include:

• 2020: Platform launch on Polygon blockchain.
• 2024: Surge in user activity during US election season.
• Early 2025: Two million active addresses recorded.
• Mid-2025: Bloomberg study reveals profit concentration.

Expert Perspectives on the Data

Industry experts have weighed in on the study’s findings. Some argue that bot dominance is a natural outcome of efficient markets. Others warn that it could discourage retail participation, reducing market diversity. Della Vedova’s analysis emphasizes that the issue is not prediction accuracy but execution speed. This distinction is crucial for understanding the market’s dynamics. It also suggests that technological improvements for retail users could help narrow the gap.

Comparison with Traditional Markets

Prediction markets share similarities with traditional financial markets, where high-frequency trading (HFT) firms also dominate profits. In stock markets, HFT algorithms capture small profits from many trades, similar to Polymarket bots. However, traditional markets have regulations to limit unfair advantages, such as minimum order times. Polymarket currently lacks such safeguards, leaving retail investors vulnerable. This comparison highlights the need for potential regulatory frameworks in the crypto prediction space.

Practical Advice for Retail Investors

For those considering Polymarket, the study offers clear warnings. Retail investors should:

• Understand the risks: Most users lose money, even with accurate predictions.
• Consider automation: Using basic scripts or bots may improve execution.
• Start small: Limit initial investments to test strategies.
• Monitor timing: Enter markets as early as possible after they open.
• Diversify: Spread bets across multiple markets to reduce risk.

Conclusion

The Bloomberg analysis confirms that most Polymarket users lose money, with automated bots capturing the majority of profits. Retail investors lost $131 million due to poor entry timing, despite often making correct predictions. The study underscores the critical role of execution speed in prediction markets. For the industry, it raises questions about fairness and the need for potential reforms. As prediction markets grow, understanding these dynamics becomes essential for all participants. Polymarket users must recognize that losing money is common, and only those with advanced tools can consistently profit.

FAQs

Q1: Why do most Polymarket users lose money?
A1: Most users lose money because automated bots enter markets early, securing better prices. Retail investors often enter too late, resulting in losses despite accurate predictions.

Q2: How much money did retail investors lose on Polymarket?
A2: According to the Bloomberg analysis, regular retail investors lost a combined $131 million due to poor entry timing.

Q3: Are automated bots better at predicting outcomes?
A3: No, bots are not better at predictions. They profit from an execution advantage, entering markets early to secure favorable prices.

Q4: Can retail investors compete with bots on Polymarket?
A4: Competing is difficult without automated tools. Retail investors can improve by using basic scripts or joining groups to enhance execution speed.

Q5: What are the implications for the prediction market industry?
A5: The study highlights fairness issues and may lead to calls for regulation. Market operators might need to implement rules to balance the playing field between bots and humans.