Copy Trading: Smart Investing or Hidden Risk? | TU Research
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TU proprietary research suggests that copy trading is widely viewed as a source of passive income, but user experience tells a more complex story. In a survey of 1,420 retail traders, 46% said passive income was their main reason for starting copy trading, yet only 10% described it as a reliable passive-income strategy. Meanwhile, 41% stopped using copy trading due to losses, high drawdowns, or disappointing results. The research also found that traders prioritize historical profitability when choosing whom to copy, often paying less attention to risk metrics such as drawdowns and risk scores.
Copy trading has become one of the fastest-growing trends in retail trading. Modern trading platforms allow investors to automatically replicate the positions of experienced traders without developing their own strategies.
For beginners, the appeal is obvious. Copy trading promises access to market expertise, reduced time commitment, and the possibility of earning passive income.
At the same time, regulators increasingly warn that copy trading may create unrealistic expectations. While trade execution can be automated, risk cannot be delegated. Followers remain exposed to volatility, leverage, drawdowns, and strategy changes.
To better understand how retail traders actually use copy trading, we conducted proprietary research focused on adoption, profitability, risk perception, and user satisfaction.
The study explores five key questions:
Findings
Based on TU research, several important patterns emerge:
Passive income is the primary reason traders start copy trading. 46% of users cited it as their main motivation.
Copy trading adoption is growing. More than one-third of respondents (37%) reported using copy trading at least once.
Profitability remains inconsistent. Only 24% reported stable profits after six months, while 39% said they were overall unprofitable.
Many traders abandon copy trading after negative experiences. 41% stopped using copy trading because of losses, excessive drawdowns, or disappointing performance.
Drawdowns are a major challenge for retail traders. More than one-quarter of former users cited high drawdowns as a key reason for leaving.
Historical profitability is the most important factor when choosing whom to copy. 36% of users prioritize past returns over other metrics.
Risk metrics receive less attention than returns. Only 22% consider maximum drawdown the most important selection criterion.
Expectations often differ from reality. While passive income is the main reason traders adopt copy trading, only 10% consider it a reliable passive-income strategy.
Copy trading simplifies market participation but does not eliminate investment risk. Users remain exposed to losses, volatility, and strategy-related risks regardless of who makes trading decisions.

Risk warning: Forex trading carries high risks, with potential losses including your entire deposit. Market fluctuations, economic instability, and geopolitical factors impact outcomes. Studies show that 70-80% of traders lose money. Consult a financial advisor before trading.
Institutional validation
Copy trading has attracted growing attention from financial regulators worldwide.
According to IOSCO's report on copy trading, mirror trading, and social trading, these services can increase access to financial markets but also create new investor-protection challenges. IOSCO notes that many users rely heavily on historical performance when selecting traders and may underestimate risks related to leverage, volatility, and strategy changes.
The European Securities and Markets Authority (ESMA) has similarly emphasized that copy trading often resembles portfolio-management services and therefore requires strong risk disclosure and investor protection standards.
The UK Financial Conduct Authority (FCA) warns that many retail investors use copy trading to gain exposure to high-risk leveraged products such as CFDs without fully understanding the associated risks.
Industry evidence supports these findings. eToro's CopyTrader platform was designed to make investing more accessible by allowing users to automatically replicate the portfolios and trades of other investors. The company positions copy trading as a solution for individuals who may lack the time, experience, or confidence to trade independently. At the same time, eToro highlights the importance of assessing risk scores, portfolio diversification, trading history, and performance consistency rather than focusing solely on past returns when selecting investors to copy. These considerations align closely with TU's findings that long-term outcomes depend not only on returns but also on risk management and trader selection.
Taken together, institutional evidence suggests that copy trading can improve market accessibility but should not be viewed as a guaranteed passive-income solution.
Theoretical research
From a theoretical perspective, copy trading combines elements of investing, social networking, and delegated decision-making.
One of the key behavioral concepts associated with copy trading is performance chasing. Investors often select traders based on recent returns, assuming that strong historical performance will continue. Research in behavioral finance shows that investors frequently overestimate the predictive value of recent success and underestimate the role of market conditions and luck.
Another important concept is social proof. Most copy-trading platforms display rankings, follower counts, profitability statistics, and popularity scores. These metrics can create the impression that highly followed traders are inherently more skilled. In reality, popularity does not always translate into superior risk-adjusted performance.
Copy trading also creates what researchers call risk delegation. While followers outsource trading decisions, they remain fully exposed to the consequences of those decisions. Market risk, leverage, and drawdowns cannot be delegated, even when trade execution is automated.
Finally, diversification plays a critical role. Many investors assume that copying multiple traders automatically reduces risk. However, diversification is only effective when traders use different strategies and trade different markets. Copying several traders who all rely on similar market conditions may provide little real protection during periods of volatility.
These concepts help explain why copy trading often produces different outcomes than investors initially expect.
Survey data
To understand how retail traders actually use copy trading, TU conducted a proprietary quantitative study examining user motivations, profitability, retention, and risk perception.
Unlike regulatory research, which focuses on investor protection and platform oversight, this study analyzed the practical experiences of copy-trading users.
Methodology
The study was conducted using a structured online survey based on the CAWI (Computer-Assisted Web Interviewing) methodology.
Sample composition: 1,420 retail traders.
Coverage: North America, Europe, Asia, Latin America, Africa, and emerging markets.
Age: 18–60 years old.
Participation criteria: respondents with direct experience trading Forex, CFDs, stocks, or cryptocurrencies during the previous 24 months.
Statistical confidence: 95%.
Estimated sampling deviation: ±2.6%.
Research team
The study was conducted by the analytical team at Traders Union:
Anastasiia Chabaniuk (Author, TU Research) – research design and interpretation.
Chinmay Soni (Fact-checker) – data validation and statistical verification.
Dan Blystone (Editor-in-Chief) – editorial and methodological supervision.
TU Research Team (Andrey Mastykin, Oleg Tkachenko) – data collection and analysis.
Why do traders start copy trading?
One of the central objectives of this research was to understand what attracts retail traders to copy trading in the first place.
While copy trading is often marketed as a way to simplify investing, traders may be motivated by different factors, including passive income, lack of experience, time constraints, or the desire to learn from more experienced market participants.
To identify the primary drivers behind adoption, respondents were asked why they initially started using copy-trading services.
| Reason | Share of users |
|---|---|
| Passive income expectations | 46% |
| Lack of trading experience | 32% |
| Learning from experienced traders | 28% |
| Limited time for active trading | 26% |
| Broker or influencer recommendation | 19% |
| Diversification | 15% |
Insight: Passive income remains the strongest driver of copy-trading adoption, significantly outperforming educational and diversification motives.
How profitable is copy trading in practice?
Copy trading is frequently promoted as a way to benefit from the expertise of successful traders. However, actual user outcomes may differ significantly from expectations.
To evaluate real-world performance, respondents who had used copy trading for at least six months were asked to assess their overall results.
Copy trading profitability after six months:
Consistently profitable – 24%;
Profitable but unstable – 18%;
Break-even – 9%;
Unprofitable – 39%;
Stopped tracking results – 10%.

Insight: More users reported losses than stable profitability, suggesting that copy trading is not a guaranteed path to positive returns.
Why do users stop copying traders?
Adoption is only one side of the story. Understanding why traders abandon copy trading can provide valuable insight into its limitations and common challenges.
Respondents who previously used copy trading but later stopped were asked to identify the primary reason behind their decision.
| Reason | Share of former users |
|---|---|
| Lost money | 34% |
| Drawdowns too high | 27% |
| Returns below expectations | 22% |
| Lost trust in copied trader | 18% |
| Fees reduced profitability | 14% |
| Preferred manual trading | 11% |
Insight: Financial performance remains the dominant reason traders abandon copy-trading services.
Do traders view copy trading as passive income?
Although passive income emerged as the leading motivation for adopting copy trading, it remains unclear whether users continue to view it that way after gaining experience.
To better understand investor perceptions, respondents were asked how they personally classify copy trading today.
How traders perceive copy trading:
Passive income if risk is managed – 38%;
Automated active trading – 31%;
Mostly speculative activity – 21%;
Reliable passive-income strategy – 10%.

Insight: Only one in ten respondents views copy trading as a reliable passive-income strategy, despite passive income being the main reason users initially adopt the service.
What should traders look for when choosing whom to copy?
Selecting the right trader is arguably the most important decision in copy trading. While platforms provide extensive performance statistics, it is not always clear which metrics investors consider most important.
To better understand trader-selection behavior, respondents were asked which factor they prioritize when choosing a trader to copy.
| Factor | Share of users |
|---|---|
| Historical profitability | 36% |
| Maximum drawdown | 22% |
| Length of trading history | 15% |
| Risk score | 11% |
| Number of followers | 8% |
| Trading style and strategy | 5% |
| Broker/platform recommendation | 3% |
Insight: Most copy traders prioritize historical returns when selecting traders to follow, while significantly fewer focus on risk metrics such as drawdowns or risk scores.
Practical implications for retail traders
The findings suggest that copy trading should be viewed as a tool rather than a guaranteed income strategy.
Several practical conclusions emerge from the research:
Copy trading does not eliminate market risk.
Historical profitability alone is insufficient when selecting traders.
Diversification across multiple providers may help reduce risk.
Drawdown management is often more important than maximizing returns.
Followers should regularly monitor copied strategies and performance.
Copy trading can support financial education but should not replace it.
Position sizing remains critical regardless of who makes trading decisions.
Investors should maintain realistic expectations regarding profitability.
The research also suggests that platform selection plays an important role in the overall copy-trading experience. Features such as risk-scoring systems, trader transparency, performance analytics, diversification tools, and investor-protection measures can significantly influence how effectively users manage risk. For investors considering copy trading, choosing a platform with robust risk-management features may be just as important as selecting the right trader to follow.
The following comparison highlights leading brokers that offer copy-trading services and tools for retail investors.
| ZForex | OANDA | FOREX.com | IG Markets | Blackbird | |
|---|---|---|---|---|---|
|
Copy trading |
Yes | Yes | Yes | Yes | Yes |
|
PAMM |
No | No | No | No | No |
|
Min. deposit, $ |
10 | No | 100 | 1 | 1 |
|
Investor protection |
No | £85,000 SGD 75,000 $500,000 | £85,000 | £85,000 €100,000 SGD 75,000 | €100,000 (ES) |
|
Max leverage |
No | No | No | No | No |
|
Trading instruments |
80 | 129 | 5500 | 20000 | No |
|
TU overall score |
7.89 | 6.87 | 6.82 | 6.78 | 6.07 |
|
Open an account |
Go to broker Your capital is at risk.
|
Go to broker Your capital is at risk. |
Study review | Study review | Study review |
Data sources and methodology references
International Organization of Securities Commissions (IOSCO). Online Imitative Trading Practices.
European Securities and Markets Authority (ESMA). Supervisory Briefing on Copy Trading Services under MiFID II.
Financial Conduct Authority (FCA). Copy Trading and Portfolio Management Guidance.
eToro. Retail Investor Survey and Social Investing Insights .
Australian Securities and Investments Commission (ASIC). Review of Online Trading Providers.
FINRA Investor Education Foundation. Social Media and Retail Investing Research.
OECD. Retail Investor Behaviour and Financial Literacy Studies.
Behavioural Insights Team. Gamification and Investor Behaviour Research.
IdSurvey. CAWI Methodology Overview.
Traders Union. Best Copy Trading Platforms.
Traders Union. Forex Risk Management Guide.
Previous volumes in this series
Conclusion
Copy trading offers an accessible entry point for retail investors seeking passive income, but the research reveals a significant disconnect between expectations and real-world outcomes. While nearly half of traders are drawn in by the promise of effortless profits, only a minority experience consistent gains, and many leave copy trading after facing losses or high drawdowns. The evidence is clear: historical returns, while attention-grabbing, are a poor substitute for careful risk assessment and ongoing strategy monitoring. For example, the majority of users prioritize past performance over risk metrics, overlooking the importance of drawdown management and diversification. Ultimately, copy trading is a useful tool—not a guaranteed shortcut to wealth—and those who succeed approach it with disciplined risk management and realistic expectations.
FAQs
What are the most common misconceptions about copy trading among retail investors?
How does diversification impact the effectiveness of copy trading?
Why is historical profitability not a sufficient criterion when choosing a trader to copy?
What role do regulatory standards play in copy trading?
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Team that worked on the article
Anastasiia has 17 years of experience in finance and content marketing. She believes that the support of information and expert opinion is very important for the success of investors and new traders.
Dan Blystone began his trading career in 1998 as an arbitrage clerk on the floor of the Chicago Mercantile Exchange (CME). He later traded bond and Eurex futures at proprietary firms such as Altea Trading, gaining valuable experience in high-frequency trading and risk management.
Chinmay Soni is a financial analyst with more than 5 years of experience in working with stocks, Forex, derivatives, and other assets. As a founder of a boutique research firm and an active researcher, he covers various industries and fields, providing insights backed by statistical data.