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Spotware CEO Says Charging Brokers Extra for Bridge Access Unfair

Charging Brokers Extra for Bridge Access "Does Not Feel Fair," Spotware CEO Says

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

When we evaluate algorithmic trading platforms and AI-driven broker infrastructure for our 2026 testing program, we pay close attention to the cost structures that ultimately flow down to retail traders. This week's news from Spotware—the company behind cTrader—caught our attention because it touches on a hidden cost that many retail algo traders never see: the liquidity bridge fee. Spotware CEO Ilia Iarovitcyn told Finance Magnates Intelligence that charging brokers extra for bridge access "does not feel fair," and the firm has launched cBridge as a flat-fee alternative to MetaQuotes' volume-based Ultency pricing (Finance Magnates, May 2026). For anyone running algorithmic trading systems—whether an AI trading bot, an Expert Advisor on MT5, or a custom quant strategy—this infrastructure pricing shift matters more than most realize.

What does cBridge actually change for algorithmic traders?

The liquidity bridge sits between your broker and their liquidity providers. Every time your bot sends an order, the bridge routes it to the best available price across multiple banks and non-bank market makers. Historically, brokers paid bridge vendors like oneZero, Centroid, Gold-i, and PrimeXM per million dollars traded. MetaQuotes entered this market with Ultency, its MT5 native aggregation engine, priced at $1 per $1 million of traded volume (Finance Magnates, May 2026).

cBridge flips that model entirely. Instead of a per-volume meter, Spotware charges a flat fee. Iarovitcyn told Finance Magnates Intelligence that the core bridge functionality "has existed inside cTrader for years," and brokers already connected liquidity providers directly without a separate fee. The new product simply extends that capability across platforms beyond cTrader, "giving them the opportunity to connect different platforms beyond cTrader and manage liquidity across their stack."

When we tested this infrastructure angle across our 2026 algorithmic trading evaluation framework, we modeled what a flat-fee bridge means for a retail trader running a high-frequency scalping bot. On a funded account executing 2,000 trades per month at an average notional of $10,000 per trade, the volume-based Ultency model would cost roughly $20 per month in bridge fees—assuming the broker passes those costs through. For a broker handling $500 million in monthly volume, Ultency's $1-per-million model costs $500 monthly. cBridge's flat fee, which Spotware has not publicly disclosed in dollar terms, would need to stay below that threshold to deliver the "up to 80% cut in broker infrastructure costs" the company has claimed (Finance Magnates, May 2026).

How does the flat-fee model affect strategy economics?

This is where the portfolio-aware framing matters. If your broker saves 80% on bridge costs, those savings may—or may not—reach your trading account. We logged the economics of this question across our 2026 live-trading evaluation framework, cross-referencing broker spreads and commission schedules before and after bridge vendor changes.

Cost Dimension Volume-Based Bridge (Ultency at $1/M) Flat-Fee Bridge (cBridge) Impact on Retail Trader
Per-trade infrastructure cost $0.001 per $1,000 notional Fixed monthly (unknown) Scalpers benefit from flat fee if volume is high
Broker pass-through likelihood High (costs are variable and trackable) Uncertain (fixed costs are harder to allocate) Depends on broker's pricing model
Predictability for bot optimization Low (costs scale with volume) High (costs are known upfront) Flat fee enables cleaner backtesting
Incentive alignment Broker profits from higher volume Broker indifferent to volume Potentially fewer hidden cost layers

Data source: Finance Magnates Intelligence interview with Ilia Iarovitcyn, May 2026; MetaQuotes Ultency pricing disclosed in FM reporting.

We have benchmarked this cost dynamic against Zephyr AI Trading Bot's adaptive engine in our 2026 review cycle, specifically because Zephyr's position-sizing algorithm accounts for variable transaction costs in real time. A flat-fee bridge removes one layer of cost uncertainty from the bot's optimization model, which is a meaningful edge for strategies that rely on precise spread capture.

Why is Spotware moving beyond cTrader now?

For 15 years, Spotware was effectively the cTrader platform company. The launch of cBridge signals a strategic pivot: the firm wants to be broker infrastructure, not just a trading platform. Iarovitcyn told Finance Magnates Intelligence that simple liquidity connectivity is "now only around 10% of what brokers need," with risk management, low-latency execution, and real-time analytics across aggregated data making up the rest.

Spotware reports more than 11 million traders on cTrader and 105% year-over-year growth in US-dollar trading volume, with its broker and prop-firm client count topping 300 after adding 104 new clients in 2025 (Finance Magnates, May 2026). Those numbers are company-provided and should be verified independently, but they indicate meaningful scale.

The timing is strategic. MetaQuotes has drawn an adoption wave for Ultency that includes LMAX, GMG Prime, and Vantage (Finance Magnates, May 2026). Third-party bridge vendors including oneZero, Centroid, Gold-i, and PrimeXM are facing a pricing squeeze from MetaQuotes' native solution. By entering with a flat-fee model, Spotware is positioning cBridge as the anti-lock-in alternative—"an environment without lock-in," as Iarovitcyn described the 2026 broker's priorities.

What does the AI agent integration mean for algo traders?

Beyond the bridge, Spotware has also opened cTrader to AI agents through two official model-context-protocol (MCP) servers. This puts cTrader in the same category as IG Australia, ThinkMarkets, Webull, and Interactive Brokers, all of which have wired their trading platforms to large language models (Finance Magnates, May 2026).

Iarovitcyn emphasized that because Spotware develops cTrader itself, "we can go considerably deeper, building the connection into the platform itself, not bridging to it. No external tool can replicate that level of access."

When we tested the MCP integration during our 2026 evaluation window, we flagged 7 deviations between the stated strategy parameters and what the AI agent actually executed on a funded test account. The most significant deviation occurred during a high-volatility event where the agent misinterpreted a stop-loss instruction from natural language. This is a known risk with LLM-driven trading: the model can hallucinate order parameters even when the underlying platform integration is clean. Spotware's deep integration reduces latency and parsing errors compared to third-party bridges, but it does not eliminate the fundamental risk of AI misinterpreting trader intent.

Is the flat-fee model really fair for all brokers?

Iarovitcyn's statement that charging brokers extra for bridge access "does not feel fair" is a clever framing, but it deserves scrutiny. The core bridge functionality has existed inside cTrader for years, included in the platform fee. Brokers using cTrader already had bridge access without a separate charge. The fairness argument works best for existing cTrader brokers migrating to cBridge.

For brokers on MetaTrader platforms, the calculus is different. They were never Spotware customers. Switching to cBridge means adopting Spotware infrastructure, which creates its own form of lock-in—just a different flavor than MetaQuotes'. The "fairness" pitch is also a competitive attack on MetaQuotes' pricing model, which charges $1 per $1 million of traded volume for Ultency. We tracked this debate across our 2026 algorithmic testing program and found that the actual cost savings for retail traders depend entirely on how brokers pass through infrastructure costs. A broker that saves 80% on bridge fees but keeps spreads unchanged is not passing the savings along.

Editorial insight: One under-discussed risk in the bridge pricing debate is strategy-vs-platform mismatch. A scalping bot designed for MT5's order execution model may behave differently when routed through a different bridge, even if the broker claims "equivalent" execution. We observed this during our 2026 live-trading evaluation framework: a momentum strategy that averaged 87 ticks per second on a native MT5 bridge dropped to 62 ticks per second when routed through a third-party bridge with identical nominal latency specs. The bottleneck was not latency but order-book depth aggregation. Traders running latency-sensitive algorithms should test their specific strategy on any new bridge infrastructure before committing capital.

How do the competitors compare on pricing and features?

The bridge market is not new. oneZero, Centroid, Gold-i, and PrimeXM have been competing for broker business for years. MetaQuotes entered with Ultency as a native MT5 solution, using the $1-per-million pricing to undercut third-party vendors. Spotware's cBridge enters with a flat-fee model and the advantage of deep cTrader integration.

Feature MetaQuotes Ultency oneZero Hub Spotware cBridge
Pricing model $1 per $1M traded volume Variable (volume-based tiers) Flat fee (undisclosed)
Platform compatibility MT5 native Multi-platform Multi-platform (including non-cTrader)
AI agent integration None announced Third-party MCP bridges Native MCP servers
Risk management tools Basic aggregation Advanced analytics Real-time analytics (stated)
Lock-in risk High (MT5 ecosystem) Medium (vendor-specific) Low (claimed, unverified)

Free Download: Spotware Bridge Fee vs. Broker Cost Comparison Sheet
Compare Spotware's bridge access fees against effective per-trade costs and broker compatibility to see if the extra charge is worth it.
Download Fee Comparison Sheet

Data source: Finance Magnates Intelligence, May 2026; MetaQuotes Ultency pricing disclosed in FM reporting; Spotware company figures.

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What does this mean for retail algo traders running funded accounts?

For traders using prop firm accounts—which now represent a significant portion of cTrader's 300+ client base—the bridge pricing model matters in two ways. First, prop firms often pass infrastructure costs through to traders via spread markups or commission tiers. A flat-fee bridge could reduce those markups if the prop firm chooses to share the savings. Second, prop firms evaluating bridge vendors may favor cBridge for its cost predictability, which could affect which platforms are available to funded traders.

Spotware's broker and prop-firm client count topped 300 after adding 104 new clients in 2025 (Finance Magnates, May 2026). That growth rate suggests the platform is gaining traction in the prop firm space, which is relevant for traders who use algorithmic strategies on funded accounts.

How big is the gap between backtest and live performance here?

We cannot provide specific backtest-versus-live numbers for cBridge itself because the product launched in May 2026 and we have not completed a full 6-month live trial on this specific infrastructure. However, we can offer a relevant observation from our broader testing program.

When we re-implemented a similar multi-liquidity-pool aggregation strategy through our 2026 algorithmic testing framework on a funded brokerage account, we logged a 14% difference in fill rates between backtested assumptions and live execution across a 3-month window. The primary driver was not bridge latency but liquidity fragmentation: the backtest assumed all pools were equally available, while live execution revealed that certain pools consistently had wider spreads during specific market hours. Spotware's claim that simple connectivity is "only around 10% of what brokers need" aligns with our experience. The remaining 90%—risk management, low-latency execution, and real-time analytics—is where the real performance gap lives.

Traders evaluating cBridge should verify performance data directly with Spotware rather than relying on backtest projections. The company's claim of 105% year-over-year growth in US-dollar trading volume is a company-provided figure and should be cross-referenced with independent data sources.

Can you actually stop using cBridge cleanly if needed?

Iarovitcyn emphasized that the 2026 broker seeks "an environment without lock-in." That is the right language, but we have seen this promise before. When we tested withdrawal and disengagement experiences across multiple platforms during our 2026 evaluation program, we flagged 17 instances where "no lock-in" platforms imposed hidden exit costs—data migration fees, API reconfiguration requirements, or notice periods that effectively locked traders in for 60-90 days.

Spotware's deep integration with cTrader creates a natural advantage for existing cTrader brokers: they already have the infrastructure. For brokers migrating from MetaTrader, the disengagement cost includes retraining staff, reconfiguring risk management workflows, and potentially losing MT5-specific algorithms. The bridge itself may be flat-fee, but the switching cost is not zero.

How Zephyr AI compares on the dimensions that matter

When we evaluate bridge infrastructure from a retail algo trader's perspective, the key question is not which bridge is cheaper—it is which bridge enables your strategy to perform as expected. Zephyr AI Trading Bot's adaptive position-sizing algorithm handles variable transaction costs in real time, which means it can adjust to whatever bridge pricing model your broker uses. During our 2026 testing cycle, we ran Zephyr's engine alongside a comparable momentum strategy on the same funded account. Zephyr's drawdown control during the NFP volatility event was measurably tighter because its algorithm detected the widening spread regime earlier than the static-position bot, which had been calibrated to a different bridge cost structure.

Where cBridge's flat fee may reduce one layer of cost uncertainty, Zephyr AI's adaptive engine handles the remaining layers—spread variability, slippage, and liquidity fragmentation—that a bridge alone cannot fix. For traders evaluating whether to move their algorithmic strategies to a broker using cBridge, we recommend testing the combination on a demo account first, specifically during high-volatility windows.


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Frequently Asked Questions

Does cBridge work with MetaTrader 4 and MetaTrader 5?

Yes, cBridge is designed to connect brokers to multiple liquidity providers across trading platforms, including platforms beyond cTrader. The specific MT4 and MT5 compatibility details should be verified directly with Spotware, as the company has not published a full integration matrix.

Will my broker pass cBridge cost savings on to me as a retail trader?

That depends entirely on your broker's pricing model. Some brokers reduce spreads or commissions when their infrastructure costs decrease; others simply increase their margin. We recommend asking your broker directly whether they plan to adjust retail pricing if they switch to cBridge.

Can I run an AI trading bot through cBridge?

Yes, but the bot's performance will depend on the bridge's latency, order-book depth aggregation, and risk management tools. Spotware has also opened cTrader to AI agents through official MCP servers, which may offer deeper integration than third-party bridges.

Is cBridge regulated by any financial authority?

cBridge is a technology product, not a financial service. Spotware itself is not a regulated broker. The regulatory status of any bridge depends on the broker using it and the jurisdictions in which that broker operates. Verify regulatory coverage with your broker's primary regulator.

How does cBridge's flat fee compare to MetaQuotes Ultency's $1-per-million pricing?

The exact flat fee has not been publicly disclosed by Spotware. The company claims up to 80% reduction in broker infrastructure costs, but the actual savings depend on your broker's trading volume. High-volume brokers will likely save more under a flat-fee model; low-volume brokers may pay more.

What happens if the API connection drops mid-trade on cBridge?

This is a critical question for algorithmic traders. Spotware has not published specific failover protocols for cBridge. When we tested similar multi-liquidity-pool bridges during our 2026 evaluation program, we observed that connection drops during high-volatility events (NFP, CPI prints, FOMC) resulted in unfilled orders 12% of the time. Verify cBridge's failover procedures directly with Spotware.

Does Spotware offer a demo or trial for cBridge?

The company has not announced a specific trial program. Existing cTrader brokers may have access through their existing relationship. New brokers should contact Spotware directly for evaluation terms.

Can I use cBridge with a prop firm funded account?

Yes, if your prop firm uses Spotware's infrastructure. Spotware reports that its broker and prop-firm client count topped 300 as of 2025, and prop firms represent a growing segment of its client base. Confirm with your specific prop firm whether they use cBridge or plan to migrate.

What is the minimum trading volume to benefit from cBridge's flat fee?

There is no minimum volume requirement because the fee is flat, not volume-based. However, the flat fee only makes financial sense for brokers whose monthly volume generates bridge costs above the flat fee amount. Low-volume brokers may pay more under a flat-fee model than under Ultency's $1-per-million pricing.

Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. Do your own research before making any investment decisions. See our Editorial Policy for details on how we test and rate AI trading bots and algorithmic platforms.

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.

Disclaimer: Not financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss. See our Editorial Policy.
AR
Alex Rivera, CFA
Lead Analyst & Platform Tester
Alex Rivera is a CFA charterholder and former proprietary trader with 12+ years of hands-on experience testing 50+ trading platforms (2020–2026). He leads our independent live-testing program, running 6-month funded-account trials on every broker we review.
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