Most retail traders lose money. Regulators consistently confirm it: the EU's ESMA reports that 74 to 89 percent of retail CFD accounts lose money, the US CFTC finds that 70 to 80 percent of retail forex traders are unprofitable, and India's SEBI found 91.1 percent of retail derivatives traders made losses in fiscal year 2024, with only 7.2 percent profitable. The 90 percent figure is shorthand for a real, documented pattern, not one single official number.
The main reasons the data points to
- Asymmetric position sizing — Traders tend to cut winners early and let losers run. In one study of 25,000 retail traders, 65 percent had win rates above 50 percent yet 82 percent still lost overall, because the average winning trade gained about 1.2 percent while the average losing trade cost about 2.8 percent.
- Overtrading and costs — Research by Barber and Odean found that stocks individual investors purchased went on to underperform the ones they sold by more than 2 percent a year. High activity and transaction costs quietly erode returns.
- Leverage — These regulatory figures are measured on leveraged CFD and forex products specifically, where leverage magnifies both the size and the speed of losses.
- No defined edge or process — Studies associate the profitable minority with a defined edge, small risk per trade of under 1 percent, and hard limits on daily drawdown, rather than discretionary reaction.
- The information gap — SEBI found that 97 percent of foreign investors' profits and 96 percent of proprietary traders' profits came from algorithmic trading, with gains concentrated in large institutions. Retail typically trades without the macro context and systematic data that institutions build on.
Do 90 percent of traders really lose money?
There is no single official 90 percent figure, but regulators worldwide consistently find that most retail traders lose. ESMA's mandated broker disclosures show 74 to 89 percent of retail CFD accounts lose money, the US CFTC reports 70 to 80 percent of retail forex traders are unprofitable, and SEBI found 91.1 percent of Indian retail derivatives traders lost money in fiscal year 2024. Ninety percent is a fair summary of that documented pattern.
Why does retail lose to institutions?
The concentration of profits is stark. SEBI found that 96 to 97 percent of proprietary and foreign-investor profits in Indian derivatives came from algorithmic trading, and profits were concentrated among large institutions. Institutions act on systematic data and a read of the broader macro environment; most retail traders do not have that context in front of them.
What does the profitable minority do differently?
Studies of retail performance associate consistent profitability with a defined edge, small and fixed risk per trade, hard drawdown limits, and a documented process reviewed over time, rather than reacting trade by trade. This describes what the data shows about outcomes; it is not advice.
Can understanding the macro environment help you read the market?
Institutions build decisions on a read of the broader economic environment. Given Analytics publishes a plain-English read of the same public macro data, the kind of context that is usually reserved for professionals, updated every trading day and free to follow.
The public context the data-driven minority watches
The economic environment institutions build on is read from public data that anyone can see, not from private information. The difference is that most retail traders never look at it. The reading Given Analytics publishes from that same data is free and updated every trading day.
The current numbers behind this reading
The macro regime above is read from public economic data. Here are several of the underlying releases, each shown with its original source and release date:
- According to the U.S. Bureau of Labor Statistics, consumer price inflation was 3.5% year over year as of June 2026.
- According to the U.S. Bureau of Labor Statistics, the unemployment rate was 4.2% as of June 2026.
- According to the Federal Reserve, the federal funds rate was 3.63% as of July 2026.
- According to the University of Michigan, consumer sentiment was 49.5 as of June 2026.
- According to the U.S. Treasury, the 10-year Treasury yield was 4.7% as of August 3, 2026.
- According to the Federal Reserve (ICE BofA U.S. High Yield index), the high-yield credit spread was 278 basis points as of August 3, 2026.
- According to the Federal Reserve Bank of Atlanta, the Atlanta Fed's real-time GDP growth estimate was 5.9% annualized as of July 1, 2026.
Given Analytics reads this combination of published conditions as expansion strong — 16 of 21 tracked economic series agree with that reading. That is a description of the environment already visible in the data, updated every trading day. It says nothing about what happens next.
What was actually missing
If the question that brought you here has ever cost you — the trade that reversed, the setup that looked right and wasn't — the thing that was missing usually isn't a better indicator. It's seeing what's actually happening underneath, live, while it happens.
That's what Given shows you, free, every trading day: real symbols going active in live markets — at the price, as it happens — which sectors are leading, and the plain-English read of what's driving the move. You watch it live, and you learn to read it yourself.
The Morning Brief and daily video are free every trading day — no credit card, for the first 500 founding members. Watch it before you risk a dollar. You decide.
Related questions
Why do 90% of traders lose money?, Why do I keep losing money trading?.
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How current is this page?
This page was last reviewed on August 05, 2026; the economic figures above each carry their own official source and release date and are refreshed on a recurring cadence. The daily Morning Brief and the daily video, both free, carry the current reading in plain English. Founding access is free to try — no credit card — for the first 500 members.
Educational and informational only. Not investment advice. Given Analytics is not a registered investment adviser. Past mathematical conditions are not indicative of future results.