QT Funded is facing another complaint over delayed trader payouts after a customer said a withdrawal requested on Sept. 3 remained stuck in “Verification & Processing” more than a week later, despite the proprietary trading firm publishing a 24-business-hour processing policy.
The complaint, posted on Trustpilot on Sept. 12, alleges that the trader opened a support ticket but received no substantive response for more than 72 hours. The reviewer also said attempts to obtain information through QT Funded’s Discord channel produced repeated scripted responses without a specific explanation or completion date.
The allegations have not been independently verified, and the public review does not disclose the payout amount or documents showing what is happening inside QT Funded’s review process. It nevertheless contains a specific request date and dashboard status, making the complaint more actionable than a general claim that the firm is failing to pay traders.
More importantly, the timeline appears difficult to reconcile with QT Funded’s currently published Performance Fee Policy.
The firm states that all payout requests will be processed within 24 business hours, excluding the day the request is submitted. Its policy also says that a new funded account is provided as soon as a payout is approved. The Sept. 12 reviewer specifically complained that the delayed approval was therefore preventing them from receiving the replacement account and continuing to trade.
QT Funded does, however, reserve significant discretion around payout verification. Its current policy says risk interviews can be required at the firm’s discretion and become mandatory once requested. A trader who fails to attend can forfeit the payout. QT Funded’s broader terms also allow the firm to request additional verification before processing a withdrawal.
What the published documentation does not make particularly clear is whether entering a risk or verification review suspends the stated 24-business-hour processing period, or how long such a review may remain open.
That distinction matters because similar questions have surfaced in recent withdrawal complaints elsewhere in online trading: the advertised payment timeline can be very different from the practical timeline once an account is diverted into a separate risk or compliance process.
Latest Complaint Sits Inside a Broader Payout Cluster
The Sept. 3 case is no longer an isolated negative review.
Another QT Funded reviewer posting on Sept. 11 said a $460 payout had been rejected for alleged “One-Sided Betting” and position stacking. The customer disputed knowingly violating the rules and complained that the firm had not identified the trades that supposedly triggered the decision.
A separate reviewer said an August payout remained unresolved for weeks before being rejected under similar trading-behavior grounds. Other recent reviewers have described payout requests from August that allegedly remained under review for extended periods before being denied or subjected to additional checks.
These remain individual allegations. They do not establish that QT Funded is systematically refusing valid payouts, and public review platforms cannot independently establish whether each trader complied with all account rules.
QT Funded’s own rules explicitly prohibit one-sided betting that it considers disruptive to market balance, along with arbitrage, latency trading, certain hedging practices and other behavior the Risk Department considers toxic or manipulative. The firm therefore has contractual grounds to investigate suspicious trading activity before approving profit withdrawals.
The concern is instead whether those investigations are being conducted consistently, promptly and with enough information for traders to understand why a payout has been delayed or rejected.
That issue became more significant after Prop Firm Match delisted QT Funded. The comparison platform currently warns users to exercise extra caution and says it received a significant number of reports concerning payout delays and operational concerns before removing the firm from its listings.
QT Funded has previously attributed its problems to a backlog involving risk interviews and the time required to clear those cases.
The firm remains operational, and the broader customer record is mixed rather than uniformly negative. QT Funded’s main Trustpilot profile currently contains more than 13,000 reviews, with a majority rated five stars. Earlier customers have also publicly reported receiving payouts successfully.
That makes the recent concentration of complaints more useful as a developing operational signal than as proof of insolvency or misconduct.
QT Funded also differs from a conventional broker. Its legal documentation states that the accounts offered through the proprietary trading program use simulated funds and operate in a simulated environment. The firm says QTFunded.com itself does not provide live brokerage or CFD execution, even though a separate Quant Tekel entity operates regulated brokerage services in certain jurisdictions.
The Real Issue Is Whether Risk Reviews Suspend the Payout Clock
The uncomfortable part of this story is not that QT Funded conducts risk checks. It should.
A prop firm offering traders access to large simulated account balances and performance-based payouts has every reason to detect arbitrage, coordinated trading, excessive exposure or strategies designed purely to exploit the firm’s rules. Without those controls, the model becomes easy to game.
The problem is the clock.
If a company advertises a 24-business-hour payout process, traders will reasonably interpret that as a meaningful service commitment. If practically any payout can instead move into an open-ended internal review, the headline processing period becomes much less useful.
This is the same reason advertised payout timelines deserve scrutiny across the trading industry. A fast-payment promise is valuable precisely because traders use it to decide where to place money, buy challenges or continue trading. It stops being meaningful if the exceptions are broad enough to swallow the rule.
There is also a transparency problem.
QT Funded does not need to publish the inner workings of its surveillance systems. Doing that would make genuine abuse easier. But there is a big difference between keeping detection methods confidential and telling a trader nothing beyond a broad accusation such as one-sided betting or toxic trading.
If a payout is rejected, the firm should ideally be able to identify the relevant rule, explain the calculation or behavior that triggered it and show enough transaction-level evidence for the customer to understand the decision.
That matters even more where a manual review begins only after the trader has already passed an evaluation, generated eligible profits and requested payment.
The commercial risk for QT Funded is straightforward. Prop firms sell trust before they sell anything else. Traders pay evaluation fees today because they believe successful performance will produce a payout later. Once confidence in that second half of the transaction weakens, discounts, bonus accounts and other trading incentives become less effective.
That is why the Sept. 3 case matters beyond one delayed request.
If QT Funded clears the payout and provides a credible explanation for the delay, it becomes another example of an internal review taking longer than advertised. If more traders instead report weeks of verification followed by broadly worded trading-rule denials, the pattern becomes much harder to dismiss as routine operational friction.
The next thing worth watching is not another promotional offer or Trustpilot score. It is whether QT Funded can demonstrate that its published payout policy and its actual withdrawal processing are still describing the same thing.
Michael Lebowitz is a financial markets analyst and digital finance writer specializing in cryptocurrencies, blockchain ecosystems, prediction markets, and emerging fintech platforms. He began his career as a forex and equities trader, developing a deep understanding of market dynamics, risk cycles, and capital flows across traditional financial markets.
In 2013, Michael transitioned his focus to cryptocurrencies, recognizing early the structural similarities—and critical differences—between legacy markets and blockchain-based financial systems. Since then, his work has concentrated on crypto-native market behavior, including memecoin cycles, on-chain activity, liquidity mechanics, and the role of prediction markets in pricing political, economic, and technological outcomes.
Alongside digital assets, Michael continues to follow developments in online trading and financial technology, particularly where traditional market infrastructure intersects with decentralized systems. His analysis emphasizes incentive design, trader psychology, and market structure rather than short-term price action, helping readers better understand how speculative narratives form, evolve, and unwind in fast-moving crypto markets.