Every FCA-authorised broker that offers contracts for difference is legally required to do something that most industries would find unthinkable: publish the percentage of its own retail customers who lost money in the last twelve months. This is not a buried footnote in a terms document. It sits in the risk warning that precedes almost every CFD advertisement and every trading platform homepage. It is, in effect, the regulator forcing the industry to hand prospective customers a scorecard before they walk through the door.

Most people glance past it. The numbers are treated as boilerplate — legal noise that accompanies a promotion, something to scroll through on the way to the sign-up button. This article asks you to stop and look at them properly. Because when you do, and when you set them alongside four decades of academic research into how individual investors behave, a picture emerges that is considerably less flattering than the marketing that surrounds it.

This is not a case for never trading. It is a case for understanding, with clear eyes, the environment you are entering — and what the research says about why so many people find it so difficult.

What the Disclosure Notices Actually Show

The obligation to disclose retail loss rates was introduced progressively from 2017 onwards, driven first by the European Securities and Markets Authority and then codified in the UK by the Financial Conduct Authority through its Policy Statement PS19/18, which made the rules permanent for the domestic market. Before that regulatory intervention, there was no consistent, public record of how retail CFD clients were actually performing. The FCA’s own analysis of a representative sample of client accounts at CFD firms found that 82% of clients were losing money on these products — a figure significant enough that the regulator proposed sweeping reforms to the entire sector.

Today, every FCA-authorised CFD provider must calculate the percentage of retail accounts that have lost money over a rolling twelve-month window and display that figure prominently wherever the product is marketed. The result is an unprecedented public dataset: a live, regularly updated snapshot of retail trading outcomes across the industry. And the figures are consistent enough to tell a story.

At IG Group, the world’s largest retail CFD provider by revenue, 71% of retail client accounts lose money when trading CFDs. At CMC Markets, another well-established London-listed provider, the figure sits at approximately 76%. At Plus500, a FTSE 250-listed platform serving hundreds of thousands of accounts globally, around 79 to 80% of retail investors lose money. eToro, which positions itself as a more socially oriented platform and whose product mix includes less actively-traded instruments, reports approximately 61% of retail accounts in loss — the lower end of the industry range, but still a clear majority. The FCA has estimated that across the sector as a whole, something in the region of 80% of retail CFD clients lose money.

It is worth pausing on what these numbers mean in practice. They do not mean that a small number of accounts suffered enormous losses while everyone else broke even. They mean that, measured across all active retail accounts over a full year, the majority ended the period having lost money. Across a sector serving hundreds of thousands of UK retail clients at any one time, that represents an enormous transfer of capital — away from individuals and, in part, toward the brokers who act as counterparty or who profit through the spread on losing trades.

There is an important caveat to apply to these figures. The disclosed percentages reflect accounts, not monetary outcomes. A single account losing £50 counts the same as an account losing £50,000. It is entirely possible, and in fact likely, that the dollar-weighted loss rate among retail participants — that is, the share of total retail capital that ends up in loss — is higher still than the account-count figures suggest. Profitable accounts may be smaller or more conservatively managed than loss-making ones. The headline number, in other words, may represent a floor rather than a ceiling.

The disclosure requirements also come with a structural limitation that is worth noting. The risk warning figures apply only to retail clients of FCA-authorised providers. Traders classified as “elective professional” clients — a status that confers higher leverage but removes retail protections — are excluded from the count. More significantly, traders who migrate to offshore, unregulated platforms in search of higher leverage are not counted at all. The FCA itself has raised concern that its published figures may be producing a misleadingly optimistic picture of outcomes, as loss-making retail clients are increasingly moving to offshore venues beyond the regulator’s visibility.

A Regulation Built on Evidence of Harm

To understand why these disclosure rules exist, it helps to trace the regulatory response back to its origins. The CFD sector began expanding rapidly in the early 2010s, driven by the proliferation of low-cost online trading platforms and the normalisation of active retail participation in financial markets. By 2017, there were approximately 100 FCA-authorised specialist CFD providers serving over 800,000 funded retail client accounts in the UK, with roughly 279,000 accounts trading each month. The FCA, reviewing this market, found not just high loss rates but evidence of systemic conduct failures: firms failing to assess whether products were appropriate for their customers, inadequate risk disclosures diluted by promotional messaging, and the routine offer of leverage ratios that, for some providers, extended as high as 500:1 for retail clients in the forex market.

The harm being done was not abstract. In one cited instance, a UK retail client lost more than £2.7 million when the Swiss franc decoupled from the euro in January 2015 — a position built on a deposit of £200,000, with the remainder representing losses that exceeded the client’s entire account balance. Negative balance protection for retail clients — the guarantee that you cannot lose more than you deposit — did not exist as a mandatory rule at that time. Traders could, and did, receive margin calls for losses that dwarfed their initial capital.

The FCA’s 2019 permanent rules introduced leverage caps of between 30:1 and 2:1 depending on the underlying asset, mandatory negative balance protection for retail accounts, automatic position close-out when margin reaches 50% of the required level, and the standardised loss-disclosure requirement. These protections, the regulator estimates, now shield approximately 400,000 retail investors per year from losing more than their deposits, providing between £267 million and £451 million in annual financial protection. The fact that substantial protections of this scale are necessary is itself a comment on the environment that existed before them.

More recently, the FCA’s concerns have extended beyond the products themselves to the channels through which they are promoted. In 2024, the regulator intervened in almost 20,000 financial promotions, cancelled 1,500 firm authorisations, and issued over 2,200 alerts about unauthorised firms. The scale of social media promotion by so-called “finfluencers” has become a particular focus: at a single offshore firm promoted through social channels, more than 90,000 investors collectively lost approximately £75 million over four years. The individuals promoting these products are not subject to the same disclosure requirements as FCA-authorised providers. The regulatory data therefore represents only the most visible portion of a much broader picture of retail trading outcomes.

What Psychology Has Known for Decades

The regulatory data establishes the scale of the problem. Behavioural finance research tells us why it happens. And here, the evidence is older and more deeply grounded than most retail traders realise. The academic literature documenting systematic errors in how individual investors make decisions stretches back to the 1970s, and its central findings have been replicated across decades, markets, and geographies with a consistency that amounts to a settled empirical record.

The foundation is prospect theory, developed by the psychologists Daniel Kahneman and Amos Tversky and published in Econometrica in 1979 — work for which Kahneman was awarded the Nobel Memorial Prize in Economic Sciences in 2002. The theory’s central insight is disarmingly simple: people do not evaluate outcomes in terms of absolute wealth. They evaluate them as gains or losses relative to a reference point, and the two sides of that equation are not equal. The pain of a loss is, according to the research, felt with roughly twice the psychological intensity as the pleasure of an equivalent gain. A £500 loss registers emotionally as approximately twice as significant as a £500 profit. The field has a phrase for this asymmetry: “losses loom larger than gains.”

For a trader, the implications are profound and compounding. The asymmetry between how gains and losses are felt drives a set of predictable and damaging behaviours. When a position moves into profit, the desire to lock in that gain — to secure the pleasure of winning and protect against the possibility of giving it back — creates pressure to close too early. When a position moves into loss, the same asymmetry operates in reverse: closing the trade means realising the pain of the loss with certainty, whereas keeping it open preserves the hope that things will recover. The rational response to a losing position — close it, accept the defined loss, and redeploy the capital — is precisely the response that loss aversion makes psychologically most difficult.

This behaviour pattern was formally identified and named in 1985 by the economists Hersh Shefrin and Meir Statman, who called it the disposition effect — the tendency of investors to sell their winners too early and hold their losers too long. The name captures the idea that investors are “predisposed” toward this pattern, not that it is the result of unusual irrationality in any individual. Shefrin and Statman demonstrated that the effect could not be explained by tax-motivated selling or other rational portfolio considerations: it was psychological, rooted in the same loss aversion that Kahneman and Tversky had described. Subsequent research by Terrance Odean, reviewing the actual trading records of 10,000 discount brokerage accounts from 1987 to 1993, confirmed the pattern empirically at scale: investors systematically realised their gains more readily than their losses, regardless of whether doing so made financial sense. The stocks they held onto, hoping for recovery, subsequently underperformed. The positions they sold quickly — their winners — subsequently outperformed.

For a leveraged CFD trader, the disposition effect is not merely a performance drag in the way it might be for a long-term equity investor. It is potentially catastrophic. A retail equities investor who holds a losing stock too long may give up a percentage point of annual return. A leveraged trader who holds a losing position too long faces an entirely different risk profile: the position may move far enough against them to consume a significant portion of their account before psychological discomfort finally overrides the reluctance to crystallise the loss. The leverage that makes CFDs attractive in rising markets becomes the mechanism through which the disposition effect is lethal in falling ones.

The Overtrading Problem

Loss aversion and the disposition effect explain much of what goes wrong when a position moves against a trader. A separate but related body of research explains what goes wrong long before that — in the decision to trade at all, and how often.

Brad Barber and Terrance Odean, in a study published in the Journal of Finance in 2000 and drawing on the trading activity of 78,000 brokerage accounts over a five-year period, produced one of the most important findings in the behavioural finance literature: the more actively individual investors trade, the worse their returns. The relationship is not subtle. The most active quintile of traders — those turning over the most of their portfolio in any given year — earned net returns of approximately 11.4% annually during a period when the market returned 17.9%. The least active quintile earned close to market returns. Trading was not adding value. It was destroying it, at a rate that increased with frequency.

The explanation Barber and Odean identified is overconfidence: the systematic tendency of individuals to overestimate the quality of their own information and the accuracy of their own judgements. In the context of trading, overconfidence manifests as the belief that a position is worth taking when the evidence for that belief is not strong enough to justify it — and, more insidiously, as the belief that one’s market timing and stock selection skills are meaningfully above average. The research shows that men, on average, exhibit higher levels of overconfidence in trading contexts than women, and trade more frequently as a result — with correspondingly worse net returns after costs. Gender, in other words, turns out to be one of the most statistically significant predictors of trading frequency, and trading frequency is one of the most statistically significant predictors of poor performance.

Transaction costs amplify the overtrading problem in a way that may not be immediately visible to a retail trader. In the CFD market, the primary cost is the spread — the gap between the buy and sell price of any instrument at the moment of execution. On an index CFD, this might be a handful of points. On a share CFD, it can be considerably wider. The cost appears small in absolute terms on any individual trade, but across a high-frequency retail account, the aggregate drag of crossing the spread repeatedly can represent a substantial headwind to profitability that must be overcome before a single penny of net profit is realised. Overnight financing charges add a further layer of cost for positions held beyond the close of the trading day. These costs are structural and certain: every trade incurs them regardless of outcome.

What the behavioural research describes is a situation in which the psychological pressure to act — driven by overconfidence, by the need to feel engaged with the market, by the desire to recoup recent losses through further activity — consistently produces a level of trading that exceeds what is justified by the underlying edge, if any edge exists at all. The market does not care about a trader’s conviction. It does not reward effort or activity. It rewards accuracy. And the evidence consistently shows that individual retail participants overestimate their own accuracy in ways that lead them to trade too much, too often, and in positions where the expected value of the trade, after costs, is negative.

Using the Evidence to Your Advantage

The research does not argue that profitable retail trading is impossible. A meaningful minority of retail accounts — somewhere between 20% and 39% depending on the provider — are profitable over a twelve-month window according to the disclosed figures. And it is worth noting that the distribution of those outcomes is not random: the same studies that document poor average performance also document that some individuals consistently outperform, and that the characteristics associated with profitable trading — lower activity, larger position size relative to conviction, systematic risk management — are learnable rather than innate.

But the evidence does argue that retail trading is more difficult than it appears from the outside, that the difficulties are systematic and predictable rather than a matter of bad luck, and that the psychological forces working against you are powerful enough to defeat skill if they are not specifically recognised and managed. Understanding the research is, in that sense, the first and most important step toward navigating it.

What does that recognition look like in practice? It begins with trading frequency. The Barber and Odean research is unambiguous: activity beyond what can be justified by genuine edge is value-destroying. A trader who commits to taking fewer, higher-conviction positions — and who accepts that doing nothing is itself a valid response to most market conditions — is directly counteracting one of the most consistently documented causes of retail underperformance. This is harder than it sounds. The psychological pressure to act, to feel engaged, to believe that greater effort translates to better outcomes, is real and constant. Resisting it requires a deliberate framework rather than willpower alone.

It continues with loss management. The disposition effect — the tendency to hold losing positions and bank winning ones — is not solved by vague intentions to “cut losses quickly.” Every trader who has ever held a losing position longer than they intended had the same intention. The solution is structural: defined stop-loss levels set before a trade is opened, not adjusted after the position moves against you. A stop-loss placed before entry is made at a moment of relative clarity, when the trader has defined the point at which the thesis has been disproven. A stop-loss adjusted after entry is made at a moment of maximum emotional pressure, when loss aversion is doing its most powerful work. These are not the same decision, and the research tells us they should not be treated as equivalent.

There is also something to be said for understanding the structural context in which retail CFD trading occurs. The disclosure figures are a product, in part, of the product itself. Leveraged derivatives are zero-sum instruments: for every retail account that profits on a position, another account — or the broker acting as counterparty — suffers an equivalent loss. The FCA has noted that CFD trading is conducted on an over-the-counter basis, meaning that the retail client is not trading on a centralised exchange but against their broker or through their broker in the interdealer market. The broker’s financial interest is not always aligned with the client’s success. This is not a conspiracy; it is simply the structure of the product. Understanding it should inform how you use it.

The data from eToro suggests, intriguingly, that the platform’s lower loss rate — at 61%, notably better than the 76–80% range of the more active trading platforms — is partly attributable to a product mix that includes more long-term investment positions alongside CFD trading. Accounts that use the platform more passively, holding positions in equities and funds for longer periods rather than trading derivatives actively, pull the platform’s average outcome toward a better result. That is itself a finding worth considering. The academic literature is unambiguous that long-term, lower-frequency participation in equity markets has produced very different average outcomes for retail investors than short-term, high-frequency derivatives trading. The structural costs are lower, the psychological pressures are less acute, and the underlying asset class has historically rewarded patience in a way that no leveraged product can replicate.

None of this diminishes the legitimate role that leveraged trading plays for certain participants. Position hedging, exposure management, and short-term tactical trades all have their place in a sophisticated portfolio. But the evidence suggests that the majority of the hundreds of thousands of retail accounts trading CFDs in the UK are not using them for these purposes. They are using them as a primary vehicle for active market participation, and the disclosed loss rates are the documented outcome. The research behind those numbers is not a counsel of despair. It is a map of the terrain. And maps, however uncomfortable their contents, are considerably more useful than the alternative.