I sat in the CMO chair at a prop firm for the best part of five years, and I can tell you the honest answer to “what do prop firms want” changed underneath us while we were running the business. It isn’t a strategy question. It was never really about scalping versus swing trading, or Smart Money Concepts versus plain price action. It’s a survivability question, asked twice: can this person’s results survive contact with our risk model, and can our business survive believing them.
Key Takeaways
- Prop firms need a real tail of genuine winners, not just compliant losers, because a firm with nobody making real money has nothing to market.
- The industry used to evaluate traders on the result alone. It stopped because that got exploited at scale, most visibly by an 800-trader cross-firm hedging ring uncovered in 2025.
- The behavioural risk-desk technology firms run today (real-time position monitoring, machine-learning pattern detection) exists because of that exploitation, not because of abstract caution.
- A trader who can name and explain a real strategy, whatever it is, produces a legible footprint that’s hard to fake. A cheat scheme never has a strategy, only account-structure logic.
- No, prop firms don’t want you to fail personally. They are structurally indifferent to any one trader’s result, and everything upstream of that indifference is built to survive people trying to fake the profile.
Why a firm needs you to actually win
Start with the part most “prop firms are a scam” content skips over, because it’s inconvenient for the argument: trading is hard, most people who try it will lose, and every prop firm knows that going in. That isn’t a design flaw, it’s priced into the whole model. A firm selling evaluations at scale is not secretly hoping everyone passes.
But it isn’t hoping everyone fails either, whatever your Twitter feed tells you. A firm that pays nobody has nothing to point to. No payout proof, no trader story, no case study to run as an ad, nothing to put in front of the next 10,000 people deciding whether to buy a challenge. The entire acquisition funnel for this industry runs on the existence of a visible, real tail of people who actually won. Kill that tail and you don’t have a safer prop firm, you have a firm nobody trusts enough to buy from.
So the honest starting position is this: a prop firm wants a normal trader doing normal trading, in enough volume that some of them are genuinely, provably good. What it can’t tell early is which applicant is which. That’s the actual problem the rest of this piece is about.
When we just paid on the result
I’ll give you the plainest version of this I know, because I lived it. In the early days of Funded Trading Plus, we barely looked at the trading itself. A trader hit the target, stayed inside the loss limits, and we paid. Millions of it, on trust, checking the outcome and little else.
Try running a firm that way today and you’d go broke inside a quarter. Not because traders got smarter. Because the moment enough money moves on outcome alone, someone works out that the outcome is the only thing being checked, and builds a way to guarantee it without actually trading in any sense a risk manager would recognise. That’s not a hypothetical. It’s the next two sections.
The number the industry doesn’t lead with
An independent analysis by FPFX Tech, a fintech that supplies risk infrastructure to prop firms rather than selling challenges itself, looked at more than 300,000 accounts from 100,000 traders across ten firms. Finance Magnates reported it in September 2024, with FPFX’s CEO Justin Hertzberg on the record.
Fourteen per cent of traders passed the initial challenge. Of those who got funded, 45% went on to actually achieve a payout, which works out to 7% of everyone who started. The average payout was 4% of the plan size. The average trader spent roughly $800 getting there across a typical run of three challenge attempts. And the same trader, on average, was doing this at 2.2 firms simultaneously.
None of that is secret, exactly, it’s been public for two years. But it’s rarely put next to the question this piece is asking, because the two facts together are uncomfortable: a firm needs real winners to market, and 93% of the people paying for the chance to become one won’t get there. That gap between what the funnel needs and what most applicants will actually deliver is the entire reason risk desks exist.
The 800-trader cartel that changed the game
Here’s the story that should have travelled further than it did. In March 2025, Finance Magnates reported that PipFarm’s CEO, James Glyde, had noticed something wrong with his own numbers: pass rates of 40 to 50% on $100,000 two-stage challenges, several times the industry norm. A tip-off gave him a list of suspected traders. He built a false identity and spent two months undercover inside the group to find out what was actually happening.
What he found was roughly 800 traders, spread across the UK, Czech Republic, Vietnam, Pakistan and Canada, coordinating trades against each other across different prop firms. A $100,000 account at one firm would be hedged against a $250,000 account at another, opposite positions, same instrument, timed so that whichever way the market moved, someone in the group profited on one side. They staggered execution to dodge correlation detection and adapted fast whenever a firm changed a rule to try to stop them. Glyde’s own words: “They were all working together to do their buys and sells on different firms. It’s crazy. This was not even a small group, it was like 800 traders inside.” Roughly twenty other prop firm CEOs contacted him within 48 hours of the story breaking. That’s not a PipFarm problem. That’s an industry that had no idea how big this had got.
Nobody in this hedge has a trading strategy. They have a hedge. The position exists because of what’s happening on a different account at a different firm, not because of anything happening on a chart. That distinction is the whole argument of this piece, and it’s why the industry had to stop trusting the result and start watching the process.
The version they sell you
The DIY cartel is the free version. There’s a paid one too: “passing services” that will trade your evaluation for a cut, typically 20 to 50% of what you paid for the challenge, or a flat few hundred dollars. You buy the attempt, hand over the login, and if it passes, the funded account is supposedly yours.
Think about the economics for a second, because it doesn’t survive contact with itself. If a service can reliably pass challenges, running its own challenges and keeping the entire profit split would make it more money than selling a service to do it for someone else. The fact that this industry exists at all as a paid product, rather than as a firm’s own trading desk, tells you what its actual success rate probably is. And the traders who use it and get funded regularly find the account revoked within weeks, because a trading style that changes sharply between the challenge phase and the funded phase is one of the cleanest signals a risk team has.
It’s also, near enough universally, a straightforward breach of contract. We’ve read the terms so you don’t have to. Funded Trading Plus’s own rules state plainly that “the person purchasing the account must be the person trading the account,” and ban sharing credentials outright. Goat Funded Trader’s terms prohibit “arbitraging a challenge account against another account,” full stop. FundedNext’s general rules go further than either, naming “account management for hire” and “passing services” as explicitly prohibited practices, in the same clause as third-party copy trading and signals. Every firm that has thought seriously about this has written it into the contract, separately from the general rules against cheating, because it’s common enough to need its own line.
What the risk desk is actually watching now
This is the part of the industry most traders never see, and it’s a direct answer to the two sections above, not abstract caution. Firms with a proper risk function monitor positions and profit and loss in real time rather than waiting for an end-of-day snapshot, so unusual behaviour gets seen as it happens, not discovered after the fact.
The more interesting layer is behavioural. Machine-learning models trained on a trader’s own history are used to flag deviation from it: a sudden jump in position size, trading outside the trader’s usual hours, or two accounts moving in lockstep. Here’s the list of what actually gets a human risk manager’s attention, and what tends to earn a trader trust instead.
| Flagged as risky | Read as legitimate |
|---|---|
| Position size jumping sharply after a loss (“revenge sizing”) | Consistent, volatility-adjusted sizing, typically 0.5 to 1% of the account per idea |
| Averaging into a losing position, doubling the size each time | Structured stops placed at levels that make technical sense, not round numbers |
| Entering within milliseconds of a high-impact news release | Reduced size or standing aside around high-impact data |
| Two or more accounts moving in correlated lockstep | A hard stop after two losing trades in a day, no third attempt |
| A single day’s profit exceeding 30 to 50% of the account’s total gains | Gains built up gradually across many separate, explicable sessions |
None of that is guesswork on the firm’s side any more. FundedNext’s own general rules put a name to the first row directly, prohibiting what it calls “change in trading behaviour, meaning lot size or frequency deviating from your own prior pattern.” That’s a contract clause describing a machine-learning anomaly detector in plain English. Goat Funded Trader’s FAQ is just as direct about the fourth row: “Opening opposing positions across two accounts to guarantee a pass breaches our rules, and detection systems flag correlated trades between accounts. The penalty is permanent closure with forfeited profit.” These aren’t marketing lines. They’re the industry admitting, in writing, exactly what it learned from the traders trying to beat it.
So do prop firms want you to fail?
Not personally, no. But they are structurally indifferent to whether any one individual trader succeeds, and that’s a different thing that gets confused with the same question a lot. The firm’s model already assumes most applicants won’t reach a payout, that’s baked into the challenge fee and the pass rate above. What the firm actively does not want is a false positive: someone who looks like they passed but got there through a hedge, a bot, or someone else’s hands on the keyboard, because that trader has no real edge, will eventually blow through the risk model in a way the firm didn’t price for, and does nothing for the marketing engine described earlier.
So “do prop firms want you to fail” is the wrong question. The right one is whether the firm can tell the difference between you failing honestly, which it can absorb, and you gaming a pass, which it can’t. Everything in the two sections above exists to answer that second question as early as possible.
The tell isn’t the strategy, it’s whether you can name one
Here’s the practical version of all of this, and it’s simpler than most trading education makes it sound. A trader who says “I trade Smart Money Concepts” or “I trade plain price action off support and resistance” or “I run a disclosed, rule-based system” is telling a risk desk something useful: there’s a reason behind every entry that exists independently of what’s happening on any other account. I’ll say the quiet part too, SMC and ICT get accused constantly in trading circles of being repackaged price action with new vocabulary attached, and that debate is real. It’s also beside the point here entirely. The risk desk isn’t grading whether your edge is good. It’s grading whether your behaviour is explicable at all. A named, coherent method almost always is.
A firm doesn’t care whether you trade Smart Money Concepts, plain price action, or something you built yourself. It cares whether you can name what you’re doing at all. The cheat schemes don’t have a strategy, they have a hedge.
| Tier | Trading style | Why it reads that way |
|---|---|---|
| Wanted | Smart Money Concepts / ICT, price action, support and resistance | Named, explainable, produces a legible footprint whatever you think of the edge itself |
| Wanted | Disclosed, rule-based systematic or EA trading, where the firm permits it | Consistent by construction, and the logic is on the record |
| Watched, not banned | Discretionary news and macro trading | A legitimate style that happens to sit right next to where latency-exploit cheats also hide, so it draws more scrutiny than it deserves alone |
| Watched, not banned | High-frequency scalping generally | Permitted by some firms, capped by others, adjacent to the tick-arbitrage pattern firms actually want to catch |
| Banned | Cross-account or cross-firm hedging | No trading logic at all, only account-structure logic, exactly the cartel pattern above |
| Banned | Martingale or grid averaging into losers | Already independently flagged as a risky behaviour in the monitoring table above |
| Banned | Copy-trading rings, account farms, passing services | The paid and organised version of the same idea |
How this plays out firm to firm
The general shape above is industry-wide, but firms sit at genuinely different points on it, and reading a few rulebooks side by side tells you more than any single firm’s marketing does.
FundedNext runs the most explicitly operationalised rulebook I’ve read in this market. Its general rules name latency, gap and external-feed exploitation, every form of arbitrage, HFT and mass-order behaviour, tick-scalping, grid trading, one-sided all-in betting, cross-account and cross-firm hedging, third-party copy trading and signals, and account management for hire, all as separate, specifically defined prohibited practices, on top of the “change in trading behaviour” clause quoted above. This is a firm that has clearly been burned before and rebuilt its contract from the burns.
Goat Funded Trader pairs its correlated-trade detection with something you don’t see as often: a contract clause that treats reputational attacks almost as seriously as fraud, threatening account termination and legal action against anyone spreading “false information, misinformation, or unjustified negative advertising” about the firm. Read together, it’s a firm defending on two fronts at once, the trading side and the public-perception side, which tells you something about how competitive and reputation-sensitive this market has become.
FTMO, by contrast, is the one major firm here that can afford to look almost relaxed. Its 2-Step Challenge carries no consistency rule at all, just a profit target, a daily loss limit, a max loss limit and a minimum number of trading days. Its 1-Step product has a “Best Day Rule” capping any single day at 50% of total profit, but tripping it isn’t a disqualifying breach, you simply keep trading until the ratio clears itself. That’s a materially lighter touch than FundedNext’s approach, and it’s not an accident. FTMO has more years and more traders behind its own risk model than almost anyone else in the sector, and it can afford to trust the aggregate pattern in a way a newer entrant chasing growth cannot.
Funded Trading Plus, the firm I helped build, is the clearest full-circle example I can give you, because I can tell you exactly how it got here. Its current terms prohibit “excessive risk as a percentage of the account in a single simulated trade,” excessive cumulative risk through overlapping positions, what it calls “Boom or Bust” news-event risk, trading that “contradicts how trading is actually performed,” and arbitrage or pricing-feed exploitation, and separately ban hedging across your own accounts outright: “prohibited to open, or benefit from the opening of, opposing yet corresponding positions across multiple accounts.” Third-party execution of any kind is banned in the same section. That is the direct, traceable descendant of the firm that used to just check whether the target was hit. We built the process checks because the result-only version stopped being survivable, and every firm named above has arrived at some version of the same place.
The trader profile that gets funded and stays funded
Pull all of this together and the checklist writes itself, and it has nothing to do with which indicator you use.
Trade one account, one strategy, and be able to explain the logic behind any single entry in one sentence. Size positions off volatility, not off how you feel after the last trade, somewhere in the region of 0.5 to 1% of the account per idea is the range that reads as normal to almost every risk desk in this piece. Stop trading for the day after two losers, don’t fight your way to a third. Treat high-impact news releases as a reason to reduce size, not increase it. And never let anyone else’s hands touch your account, whatever they’re offering to guarantee.
None of that guarantees you pass. Most people still won’t, and that’s not a conspiracy, it’s the maths of a genuinely hard skill applied at scale. But it’s the profile that survives contact with the risk model rather than getting caught by it, and it’s the same profile the firm needs anyway: a real trader, doing a real, nameable thing, often enough that some of them win big enough to be worth marketing.
FAQ
Do prop firms want traders to fail?
No, but they are structurally indifferent to any individual trader’s result. The pass rate is priced into the business model already. What a firm actively doesn’t want is a false positive, a trader who appears to pass through a hedge, a bot or a passing service rather than genuine trading, because that trader has no real edge and breaks the risk model the firm didn’t price for.
What trading style do prop firms prefer?
No single style is universally preferred. What matters is whether the style is named, explainable and produces a consistent, rule-based footprint, whether that’s Smart Money Concepts, plain price action or a disclosed systematic approach. News trading and high-frequency scalping are usually permitted but watched more closely because they sit close to genuine cheat patterns.
Does my trading strategy affect whether a prop firm trusts me?
The specific strategy matters less than whether you can articulate it consistently. A coherent, nameable method produces behaviour a risk desk can actually assess. A trader with no explainable logic behind their entries reads the same to a risk model whether or not they’re actually cheating.
Are prop firm passing services legal?
Using one is a straightforward breach of contract at virtually every major firm. Funded Trading Plus, Goat Funded Trader and FundedNext all explicitly prohibit third-party account management or challenge-passing services in their published terms, separately from their general anti-cheating rules. Accounts caught using one are typically closed with profits forfeited, not just paused.
What happens if a prop firm catches you hedging across accounts?
Most firms treat this as one of the most serious breaches available. Goat Funded Trader’s own terms describe the penalty as “permanent closure with forfeited profit.” FundedNext and Funded Trading Plus both prohibit it outright in their general rules, regardless of whether the opposing account is at the same firm or a different one.
Do prop firms use AI to monitor traders?
Increasingly, yes. Firms with a proper risk function monitor positions in real time, and use machine-learning models trained on each trader’s own history to flag deviations from it, such as a sudden jump in position size, trading outside normal hours, or two accounts moving in correlated lockstep.
Sources and further reading
- FPFX Tech: only 7% of 300,000 prop trading accounts achieved payouts, Finance Magnates, September 2024
- Inside the 800-member trading cartel bleeding prop firms dry, Finance Magnates, March 2025
- Our FundedNext review, sourced directly from FundedNext’s published general rules and terms
- Our Goat Funded Trader review, sourced directly from its published terms and conditions and FAQ
- Our FTMO review, sourced directly from FTMO’s published trading objectives and FAQ
- Our Funded Trading Plus review, sourced directly from its Program Terms and Conditions
- Our Trust & Safety hub, for the wider pattern of how this industry builds and loses trust
- Prop Firm Red Flags: The Checklist, the operator’s checklist this piece complements