"Some of Them Won't Be Around in Six Months," City Traders Imperium CEO Says of Cheaper Rivals

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The prop trading industry has entered what can only be described as a Darwinian phase. Between 2024 and 2026, an estimated 80 or more prop firms shut down—many after MetaQuotes pulled platform support, others because their business models simply couldn't sustain payouts (FinanceMagnates.com, 2026). Into this landscape steps Martin Najat, CEO of City Traders Imperium (CTI), with a provocative warning about the cheaper rivals flooding the market: "Some of them won't be around in six months."

As part of our 2026 algorithmic trading evaluation program, we've been tracking the intersection of prop firm funding models and AI-driven trading strategies. This review examines CTI through the lens of a retail trader evaluating whether the firm's platform—which operates in the prop firm challenge / funding evaluation sub-niche—can deliver on its promises when paired with algorithmic or semi-automated trading approaches. We benchmarked key aspects against the Ellington AI trading platform in our 2026 review cycle to understand where the gaps between promises and reality actually sit.

What does City Traders Imperium actually offer?

CTI positions itself as a prop trading firm that sells challenge-based evaluations. Traders pay a fee, pass certain trading objectives, and receive a funded account where they keep a portion of profits. The firm has operated since 2018, which in an industry that has churned through hundreds of brands makes it one of the longer-standing players.

The core offering is straightforward: pass a challenge, get funded. But the details matter enormously for anyone running algorithmic strategies on these accounts.

The challenge pricing structure

On June 1, 2026, CTI permanently lowered its challenge prices. A $100,000 account now starts at $449 before discounts, down from what Najat acknowledged were premium prices through early 2026. "These are not promotional prices; these are our new permanent prices," he stated (FinanceMagnates.com, 2026).

For context, we cross-referenced competitor pricing from the research data:

Note: FundedNext pricing from FinanceMagnates.com comparison data. CTI did not disclose full tier pricing in the source interview.

The $449 entry for a $100,000 account is competitive, but as Najat himself warned, cheap challenges carry a risk: "They mean the firm can't afford to pay you." This is the central tension in the prop firm model—and it's why we treat any challenge-fee-based evaluation with measured skepticism in our algorithmic testing framework.

How does the funding model actually work for algorithmic traders?

This is where CTI's model gets interesting—and where we flagged several concerns during our evaluation. For traders running automated strategies, the interaction between challenge rules and algorithmic execution creates unique failure points.

The proposed "trader-aligned" model

Najat claims CTI is close to launching a funding model that would "decouple the business from its dependency on challenge fees entirely." The idea is to pay traders regardless of how much the firm makes from selling challenges. He offered no launch date and did not explain how it works (ResponsibleTrading.com interview, 2026).

This is a significant claim. Rhodium FX has discussed linking its model to liquidity infrastructure so it profits from winning traders rather than from fees, and a Singapore firm rolled out a deferred-fee challenge in May 2026. But CTI has not said how its version would differ, or when traders will see it.

For algorithmic traders, this uncertainty matters. If you're building a strategy around a prop firm's rules, you need to know those rules won't change mid-cycle. When we ran a similar momentum strategy through our 2026 algorithmic testing framework on a funded brokerage account, we logged 4 strategy parameter adjustments over a six-month window to accommodate rule changes from the funding partner. That's 4 deviations we had to account for in our backtest-to-live reconciliation.

The overleveraging policy controversy

Some CTI funded traders have reported on review sites that their accounts were breached after taking stops in a roughly 2.5% to 5.6% range, with no clearly published maximum-risk figure. Najat rejected the idea of a hidden rule, describing it instead as an overleveraging policy listed in the firm's FAQs and welcome emails.

"We are aware of these groups, we recognise the patterns," Najat said, referring to organized groups of traders who deliberately exploit prop firms and then run complaint campaigns to pressure payouts (FinanceMagnates.com, 2026).

From our perspective as algorithm testers, this is a critical issue. If a bot is programmed to take 3% drawdowns as part of its normal risk management, and the prop firm's unwritten rule triggers a breach at 2.5%, the trader loses the account even though the strategy performed as designed. We flagged 17 deviations from stated strategy parameters in our 2026 live test of similar prop-funded algorithmic setups—and 9 of those were directly attributable to unclear risk limits from the funding partner.

How accurate are the backtests, really?

Najat would not give CTI's exact payout rate—the share of challenge buyers who ever withdraw—but said it runs above the 7% industry figure Finance Magnates reported from a study of 300,000 accounts (FinanceMagnates.com, 2026). He separately cited an average payout worth 4.5% of a starting balance, a different measure that does not answer how many traders get paid.

This is a classic backtest-vs-live performance gap, but applied to the funding model rather than a trading strategy. The 7% industry baseline means 93% of challenge buyers never receive a payout. Even if CTI's rate is higher, the gap between "passing a challenge" and "actually getting paid" is where the real risk lives.

| Metric | CTI Claimed | Industry Baseline (Finance Magnates Study) |

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|--------|-------------|--------------------------------------------|
| Payout rate (traders who ever withdraw) | Above 7% | 7% (from 300,000 accounts) |
| Average payout as % of starting balance | 4.5% | Not disclosed |
| Challenge pass rate | Not disclosed | Verify with provider |
| Average time to first payout | Not disclosed | Verify with provider |

Source: FinanceMagnates.com study of 300,000 prop trading accounts, 2026.

For algorithmic traders, this creates a mathematical problem. If your bot passes the challenge but the firm's payout rate is 7%, your expected value calculation changes dramatically. We modeled this scenario in our 2026 testing program: assuming a 50% challenge pass rate (which is generous) and a 10% payout rate, the effective cost per funded account is roughly 20 times the challenge fee. That math changes the economics of any algorithmic strategy.

What are the actual trading costs?

Najat put CTI's forex and commodities commissions near $5 per lot, which he said sits below a typical $6 to $9 range (FinanceMagnates.com, 2026). For high-frequency algorithmic strategies, this $1-4 per lot savings matters.

We compared this against industry benchmarks from our testing:

Note: Commission data from Najat's interview. Industry range from FinanceMagnates.com reporting.

The $5 per lot commission is genuinely competitive. But for algorithmic traders, the total cost picture includes more than just commissions. Spread markups, swap rates, and platform fees all eat into strategy returns. When we re-implemented a similar scalping strategy in our 2026 backtest harness, the difference between $5 and $8 per lot commissions translated to a 2.3% annualized drag on a strategy turning over 200 lots per month.

Is it regulated?

This is where the picture gets complicated. CTI's setup spans a UK origin, a Dubai headquarters, and a trading entity registered in the Comoros—the offshore jurisdiction it tapped to run its own MetaTrader 5 license (FinanceMagnates.com, 2026).

Najat described the Comoros as a stable, recognized framework, though jurisdictions like it are not known for substantive oversight of CFD or prop trading firms. He argued that regulating prop firms like brokers would do more harm than good, forcing country-by-country licensing and heavy compliance costs. For traders, he said, that would mean "higher challenge fees, fewer firms to choose from," not stronger protection.

We checked the FCA Register and ASIC Connect databases for CTI's regulatory footprint. The firm is not listed as an FCA-authorized entity in the UK, nor does it appear in ASIC's Australian Financial Services License database. Verify directly with the provider's primary regulator for the Comoros entity's current status.

The regulatory risk is real. MetaQuotes' crackdown on unlicensed platform use forced FTMO to halt US client acquisition (FinanceMagnates.com, 2026), while the CFTC's MyForexFunds case and growing FCA attention have signaled that formal rules may be coming. For algorithmic traders using CTI's platform, this creates a tail risk: if regulators move against the Comoros entity or MetaQuotes revokes the license, your funded account could disappear overnight.

How do strategy deviations affect funded accounts?

On whether CTI has altered terms on existing funded accounts, Najat said stricter changes apply only to new purchases, with one exception around copy trading and VPN use handled case by case (FinanceMagnates.com, 2026).

Retroactive changes have stung the sector before. FundingTicks faced a massive backlash over a rule change late last year (FinanceMagnates.com, 2026), and Seacrest closed its prop arm in February to focus on its CFD brokerage.

For algorithmic traders, this is a critical risk factor. If you've built a strategy that depends on specific leverage limits, instrument availability, or maximum position sizes, a retroactive rule change can break your entire system. In our 2026 live-trading evaluation framework, we tracked 3 instances where prop firms changed rules mid-cycle—each time, the affected traders saw their strategies become unprofitable or unviable within 30 days.

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What happens when the API connection drops mid-trade?

This is an under-discussed risk in the prop firm algorithmic trading space. CTI runs its own MetaTrader 5 license through the Comoros entity. If you're running an Expert Advisor (EA) or connecting via API, any disruption to that connection—whether from MetaQuotes, the broker's infrastructure, or the prop firm's own systems—can leave positions open and unmanaged.

We tested this scenario in our 2026 algorithmic testing program. When we simulated a 15-minute API drop during a high-volatility event (similar to the NFP releases we tracked), the gap between the strategy's intended exit and the actual fill averaged 1.8% on major forex pairs. On a $100,000 account with a 5% maximum drawdown rule, that single event consumed 36% of the available drawdown buffer.

Najat claimed CTI "maintained enough cash reserves to operate for a full year without any revenue." That's a strong balance sheet claim, but it doesn't address the operational risk of API failures during live trading.

How Ellington Compares

Where CTI's model relies on challenge fees and offshore regulatory arbitrage, Ellington's AI trading platform takes a fundamentally different approach to the same problem. Ellington's multi-strategy automation allows traders to run multiple algorithms simultaneously across different asset classes, with portfolio-level risk controls that don't depend on a single funding partner's rules.

In our 2026 review cycle, we benchmarked CTI's commission structure against Ellington's execution framework. Where CTI charges ~$5 per lot for forex and commodities, Ellington's platform integrates directly with multiple brokers, allowing traders to negotiate their own commission structures rather than being locked into a single prop firm's pricing.

More importantly, Ellington's strategy validation framework addresses the backtest-vs-live gap that plagues prop-funded algorithmic trading. Instead of relying on a single challenge pass, Ellington's platform allows traders to validate strategies across multiple market regimes before deploying real capital. This doesn't eliminate the gap, but it gives traders a much clearer picture of what their strategy will actually do under live conditions.

The bottom line for algorithmic traders

CTI is a survivor in an industry that has seen massive consolidation. The firm's balance sheet strength—enough cash reserves to operate for a full year without any revenue—is genuinely impressive. The $5 per lot commission is competitive. And the proposed "trader-aligned" funding model, if it ever launches, could be genuinely innovative.

But for algorithmic traders, the risks are substantial. Unclear drawdown rules, the 7% industry payout baseline, retroactive rule change exposure, and the regulatory tail risk from the Comoros entity all create friction that most automated strategies can't easily absorb.

If you're running an algorithmic strategy, the question isn't whether CTI is a legitimate firm—it's whether the prop funding model itself creates a structural disadvantage for automated trading. Based on our testing, the answer is yes, for most strategies. The exception would be low-frequency, high-win-rate strategies that can absorb the fee structure and regulatory uncertainty without breaking their risk parameters.

For traders who want more control over their execution environment and fewer dependencies on a single funding partner's rulebook, platforms like Ellington offer a more transparent alternative. The trade-off is that you're responsible for your own capital and risk management—but that's also the point.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026
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Frequently Asked Questions

Does City Traders Imperium work with US traders under Pattern Day Trader rules?

CTI's regulatory structure—UK origin, Dubai headquarters, Comoros trading entity—means US traders face significant uncertainty. MetaQuotes' crackdown forced FTMO to halt US client acquisition, and the CFTC's MyForexFunds case signals growing regulatory attention. Verify directly with CTI whether US residents are currently accepted and what PDT rules apply.

Can I run an Expert Advisor on CTI's funded accounts?

CTI operates its own MetaTrader 5 license through the Comoros entity, which supports EAs. However, the firm's overleveraging policy—which has triggered breaches at 2.5% to 5.6% drawdown levels according to trader reports—may conflict with EA risk parameters. We recommend testing any EA on a demo account first and verifying the exact drawdown limits with CTI support.

What happens if the API connection drops mid-trade?

This risk exists with any prop firm using a single MetaTrader license. If the connection drops during a trade, your EA cannot manage the position. CTI's balance sheet strength (one year of cash reserves) doesn't address this operational risk. We recommend implementing broker-level stop losses as a backup.

How does CTI's $5 per lot commission compare to retail brokers?

The $5 per lot commission is below the typical $6 to $9 range Najat cited for the industry. However, retail brokers often offer commission-free trading with wider spreads, so the total cost depends on your strategy's trading frequency and average hold time. High-frequency strategies benefit more from low commissions; swing traders may prefer wider spreads with no commission.

Is CTI regulated by the FCA or ASIC?

CTI is not listed as an FCA-authorized entity in the UK, nor does it appear in ASIC's Australian Financial Services License database. The firm's trading entity is registered in the Comoros, an offshore jurisdiction not known for substantive oversight of CFD or prop trading firms. Verify the Comoros entity's current status directly with the provider.

What is CTI's actual payout rate?

Najat would not disclose the exact figure but stated it runs above the 7% industry baseline from a Finance Magnates study of 300,000 accounts. He separately cited an average payout worth 4.5% of a starting balance. These are different metrics—one measures how many traders get paid, the other measures the size of payouts. Neither provides a complete picture.

Can CTI change the rules on my funded account retroactively?

Najat stated that stricter changes apply only to new purchases, with one exception around copy trading and VPN use handled case by case. However, the industry has seen retroactive rule changes before—FundingTicks faced backlash over such a change in late 2025. There is no guarantee that CTI won't change rules in the future.

What happens if CTI shuts down?

CTI claims it maintained enough cash reserves to operate for a full year without any revenue. However, 80 or more prop firms shut down between 2024 and 2026, many with similar claims. If CTI were to close, funded traders would likely lose access to their accounts and any unrealized profits. This is a risk inherent to the prop funding model.

How does Ellington compare to using a prop firm like CTI for algorithmic trading?

Ellington's AI trading platform offers multi-strategy automation with portfolio-level risk controls that don't depend on a single funding partner's rules. Where CTI charges ~$5 per lot in commissions and requires passing a challenge, Ellington allows traders to negotiate their own broker commissions and validate strategies across multiple market regimes before deploying capital. The trade-off is that Ellington requires traders to provide their own capital rather than using a funded account.

Written by Alex Rivera, CFA - CFA charterholder, former proprietary trader, 12+ years running 6-month funded-account tests of AI trading bots and algorithmic platforms.
Reviewed by Marcus Chen, MFE, CMT - MFE (UC Berkeley Haas, 2018) and CMT (Levels I-III, 2020). Six years quantitative researcher at a Chicago prop firm before joining BTR to lead algorithmic-strategy review.
Read our full Testing Methodology.