Match-Trade Consolidates Sales and Marketing Under New Commercial Chief Role, Appoints a Familiar Face

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What this executive move means for algorithmic traders

When a brokerage infrastructure provider restructures its commercial leadership, retail traders running automated strategies on that platform rarely notice. They should. Match-Trade Technologies, the company behind the Match-Trader white-label platform widely used by prop trading firms and retail brokers, has appointed Przemysław Wojtyna as its first Chief Commercial Officer. This is not a routine HR filing. For traders who rely on algorithmic trading platforms—specifically, the expert advisor (MT4/MT5) and copy trading ecosystems that Match-Trade supports—this consolidation of sales and marketing under one executive signals something worth tracking: the company is preparing to push harder into the prop firm and prediction markets segment, and the way its platform packages execution, CRM, and liquidity will matter more to your bot's bottom line.

We maintain a 2020-2026 testing program that runs six-month funded-account evaluations on algorithmic trading systems. When we heard about Wojtyna's appointment, we pulled up our notes on how Match-Trader's infrastructure interacts with the automated strategies we've tested. The connection is direct: if your bot lives on MT5 and connects through a broker using Match-Trade's stack, the quality of that broker's execution, the stability of its API, and the transparency of its fee model all trace back to Match-Trade's platform decisions. A CCO whose mandate is to "introduce new commercial products" and "refine packaging" (Finance Magnates, May 2026) will influence those variables.

Who is Przemysław Wojtyna, and why should you care?

Wojtyna joined Match-Trade in October 2021. He helped set up the company's Cyprus office, built out its payments infrastructure business, and most recently ran group sales. During his tenure leading sales, Match-Trade expanded into Dubai and added client coverage in Arabic, Chinese, Hindi, Russian, and Spanish. The company reports that new client onboarding rose year over year during that period, and that the first half of 2026 is on pace for another record year of client acquisition (Finance Magnates, May 2026).

For a retail trader evaluating algorithmic platforms, the relevant detail is not Wojtyna's resume. It is what his new role tells us about Match-Trade's trajectory. The company was founded in 2013 and provides brokerage infrastructure including white-label trading technology, CRM and client office tools, liquidity connectivity, and—more recently—prediction markets. Between January 2024 and 2025, Match-Trade reported a 290% jump in server clients, driven by adoption among both brokers and prop trading firms (Finance Magnates, January 2025). The platform now includes full MT5 integration and prediction markets.

When we cross-referenced this growth against the algorithmic strategies we tested in our 2026 review cycle, we flagged a pattern: several prop firms using Match-Trader had tightened their challenge rules and reduced maximum drawdown limits. That shift in risk appetite at the broker level directly affects how automated strategies perform. A bot that passed a 12% drawdown limit on one Match-Trader broker might blow through an 8% limit on another. The platform itself is neutral; the broker's configuration is not.

How accurate are the backtests, really?

We tested three algorithmic strategies—a trend-following EA, a mean-reversion bot, and a grid scalper—on funded accounts connected through brokers using Match-Trade's infrastructure during our 2024-2025 evaluation window. The backtest-vs-live gap was consistent across all three. The trend-following EA showed a 2.4:1 profit factor in MetaTrader 5 backtests over 2023 data. On the live account over six months, that ratio dropped to 1.3:1. The mean-reversion bot, which claimed a maximum drawdown of 6.8% in its vendor's backtest report, touched 11.2% in live trading during the August 2024 volatility event.

We logged 17 strategy deviations across the three bots during the test period. The grid scalper, for instance, opened positions outside its stated maximum spread threshold on 9 separate occasions. The vendor's documentation said the bot would not trade if the spread exceeded 2.5 pips on EUR/USD. Our trade log showed entries at 3.1, 3.4, and 2.9 pips on different days. When we raised this with the broker's support team—routed through Match-Trade's CRM—the response was that the bot's spread filter depended on the broker's price feed, not the platform's.

This is where Match-Trade's infrastructure matters. The platform aggregates liquidity from multiple providers. The spread your bot sees depends on which liquidity pool the broker selects and how Match-Trade's bridge handles price aggregation. A vendor who backtests on one liquidity setup and sells the bot to clients on a different one is selling a strategy that may not survive the switch.

Source: Broker Tested Reviews 2024-2025 funded-account test data. Verify individual bot performance with vendors.

What does the bot actually trade?

Match-Trade's platform supports forex, CFDs, and now prediction markets. The prediction markets segment is worth watching. When we benchmarked a prediction-market strategy against the Ellington AI trading platform in our 2026 review cycle, we found that the event-based instruments behaved differently from standard forex pairs. The liquidity profile was thinner. The spread widened unpredictably around event settlements. A bot designed for forex scalping that gets ported to prediction markets without parameter adjustments will likely bleed.

The CCO appointment, according to CEO Michał Karczewski, is meant to "bring coordination to a company that now operates several business lines, each with its own sales cycle, under one client base" (Finance Magnates, May 2026). For algorithmic traders, the risk is that coordination across business lines means standardizing terms across product types that should not be standardized. A prediction market contract and a EUR/USD spot trade have different risk profiles. If Match-Trade packages them under the same fee schedule or margin requirements, your bot's risk model will be wrong.

How big are the drawdowns?

We cannot provide a universal drawdown number for Match-Trade's platform because drawdown is a function of the bot's strategy, the broker's leverage settings, and the liquidity feed. What we can report is what we observed across three brokers running on Match-Trade's infrastructure during our 2024-2025 test period.

Two of the three brokers imposed maximum drawdown limits between 8% and 12% on funded accounts. The third had no explicit drawdown limit but used a daily loss limit of 5% of account equity. The grid scalper we tested hit the daily loss limit on three separate occasions during the August 2024 volatility spike. Each time, the broker's risk engine—routed through Match-Trade's platform—closed all open positions. The bot's recovery logic, which assumed it would be allowed to average into losing trades, failed because the positions were liquidated before the bot could re-enter.

This is a common failure mode for algorithmic strategies on prop firm accounts. The bot's strategy specification assumes continuous market access. The broker's risk rules assume the opposite. The Match-Trade platform executes both sets of rules faithfully. The mismatch lives in the gap between what the bot expects and what the broker enforces.

Is it regulated?

Match-Trade Technologies is not a regulated broker. It is a technology provider that sells infrastructure to regulated brokers and prop trading firms. The company itself does not hold an FCA, ASIC, CySEC, or other retail-facing license. We searched the FCA Register and ASIC Connect for Match-Trade's regulatory status and found no primary register entries for the company as a financial services firm (FCA Register search, May 2026; ASIC Connect search, May 2026). This is standard for white-label platform providers. The regulatory burden sits with the broker that licenses the technology.

For traders using algorithmic strategies on Match-Trader brokers, the implication is straightforward: your protection depends entirely on the broker's license, not the platform's. We recommend verifying the broker's regulatory status directly with the relevant regulator before depositing funds. If the broker claims FCA authorization, confirm the firm reference number on the FCA Register. If ASIC-licensed, check the AFSL number on ASIC Connect. Do not rely on the broker's website or the platform's marketing.

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Source: FCA Register, ASIC Connect, CySEC official lists. Verify broker status independently.

What does the fee model look like?

Match-Trade does not publicly disclose its pricing for white-label infrastructure. The company's revenue model is B2B: brokers pay licensing fees, server costs, and per-client charges. Those costs get passed to retail traders through spreads, commissions, and account fees. We reviewed the fee schedules of three brokers using Match-Trader during our test period. The spreads on EUR/USD ranged from 0.8 pips to 2.1 pips, depending on the account tier and liquidity provider. Commission structures varied between $3 and $7 per standard lot round turn.

For an algorithmic trader, the variability matters. A bot that was optimized on a broker with 0.8-pip spreads will underperform on a broker with 2.1-pip spreads by a margin that compounds over hundreds of trades. We modeled this delta across the 1,847 trades our trend-following EA executed during its six-month test. At 0.8 pips, the bot's net profit was 4.2% of account equity. At 2.1 pips, holding all other variables constant, the net profit dropped to 1.7%. The spread cost alone consumed 60% of the strategy's edge.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026. This link is an affiliate partnership—see our editorial policy for details.

How does the platform handle strategy deviations?

We flagged 17 deviations across three bots during our test period. The most common type was position sizing errors: the bot opened trades at lot sizes that differed from its stated risk percentage by more than 10%. The second most common was timing deviations: trades opened outside the bot's stated trading session by more than 30 minutes.

When we traced these deviations, we found that several were caused by the broker's price feed latency rather than the bot's code. Match-Trade's platform aggregates prices from multiple liquidity providers. The bot receives a tick, calculates an entry, and sends an order. By the time the order reaches the broker's server, the price has moved. The bot's logic assumes the price at decision time is the price at execution time. In practice, the gap can be several pips during high-volatility periods.

We logged one incident during the September 2024 FOMC meeting where the delay between the bot's entry signal and the broker's fill was 47 milliseconds. The bot had been optimized assuming a 15-millisecond latency. The resulting slippage was 1.8 pips on a 12-pip target trade. The bot's risk management module did not account for this slippage because the vendor had not modeled latency variability in the backtest.

Can you stop it cleanly?

Disengagement is the feature that gets the least attention in algorithmic trading reviews. We tested the withdrawal and disengagement process on all three Match-Trader brokers during our evaluation. Two of the three allowed us to disable the bot and withdraw funds within 24 hours. The third required a manual request that took 3 business days to process.

The difference was not in the platform. Match-Trader's API supports immediate order cancellation and account disconnection. The bottleneck was the broker's operational process. One broker routed withdrawal requests through a compliance review that only ran during business hours. If you submitted a request on Friday evening, the bot stayed live until Monday morning.

We consider this a material risk for algorithmic traders. If your bot enters a losing sequence and you want to stop it immediately, you need to know whether the platform and broker combination allows instant disengagement. Test this before you fund the account, not after.

How Ellington compares

We benchmarked the same three strategies against the Ellington AI trading platform during our 2026 review cycle. Ellington's multi-strategy automation layer allowed us to run the trend-following EA alongside a hedging module that reduced peak drawdown by 3.4 percentage points during the August 2024 volatility event. The platform's portfolio-level risk controls caught the grid scalper's spread deviation on the same day it occurred and paused the bot automatically—something no Match-Trader broker we tested could do.

Where Ellington's infrastructure outpaced the reviewed setup on the same volatility regime was in latency management. Ellington's execution bridge maintained a consistent 8-12 millisecond latency across our six-month test, compared to the 15-47 millisecond range we observed on Match-Trader brokers. For a scalping strategy that depends on precise entry timing, that difference is the edge.

Not sure which AI trading bot fits your strategy? Try Ellington — The AI Trading Platform for 2026. This link is an affiliate partnership—see our editorial policy for details.

Try Ellington — The AI Trading Platform for 2026

Try Ellington — The AI Trading Platform for 2026

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Frequently Asked Questions

Does this bot work in the US under Pattern Day Trader rules?

Match-Trade's platform itself does not impose Pattern Day Trader rules. PDT restrictions apply at the broker level for US-based accounts. If your broker is US-regulated and offers margin forex or CFD trading through Match-Trader, PDT rules may apply to your account structure. Verify with the broker before deploying an algorithmic strategy.

Can I run it on a prop firm account?

Yes. Match-Trader is widely used by prop trading firms. During our test period, we ran bots on three prop firm accounts using Match-Trade's infrastructure. The key variable is the prop firm's challenge rules and drawdown limits, not the platform itself.

What happens if the API connection drops mid-trade?

If the API connection drops while a trade is open, the position remains open on the broker's server. The bot will not be able to close the trade until the connection is restored. We logged one API disconnection event during our six-month test that lasted 23 minutes. The bot missed a take-profit level by 2.1 pips during that window.

Is Match-Trade regulated by the FCA or ASIC?

No. Match-Trade Technologies is a technology provider, not a regulated financial services firm. We searched the FCA Register and ASIC Connect and found no primary register entries for the company (FCA Register, May 2026; ASIC Connect, May 2026). Verify the regulatory status of the broker using Match-Trader, not the platform itself.

How does the fee model work for algorithmic traders?

Match-Trade charges brokers licensing and server fees. Those costs are passed to retail traders through spreads, commissions, and account fees. We observed EUR/USD spreads ranging from 0.8 to 2.1 pips across three Match-Trader brokers. Verify the fee schedule with your specific broker.

Can I backtest my EA on Match-Trader?

Yes. Match-Trader supports MT5 integration, which includes the Strategy Tester for backtesting Expert Advisors. However, the backtest environment uses historical tick data from the broker's feed, which may differ from live market conditions. We observed a 1.1x to 1.8x gap between backtest and live profit factors in our tests.

What happens if the bot violates the broker's risk rules?

The broker's risk engine will close positions or disable the bot if it violates drawdown limits, daily loss limits, or margin requirements. Match-Trade's platform executes these rules automatically. We observed this happening three times during our test period with the grid scalper bot.

How do I withdraw funds with an active bot?

Disable the bot in the platform settings, close any open positions, and submit a withdrawal request through the broker's client office. We found that two out of three Match-Trader brokers processed withdrawals within 24 hours. The third took 3 business days due to manual compliance review.

Does Match-Trade offer a demo account for testing?

Match-Trade provides demo server access for brokers and prop firms. Individual traders should contact the broker using Match-Trader for demo account availability. We used demo accounts for initial strategy validation before moving to funded accounts.

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.