Match-Trade Promotes Rafał Walencik to Head of Sales as Commercial Reshuffle Completes

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.

The promotion of Rafał Walencik to head of sales at Match-Trade Technologies marks more than a routine executive shuffle. When we tested the Match-Trader platform during our 2026 algorithmic trading evaluation cycle, we found that the technology provider sits at an interesting intersection: it is primarily an algorithmic trading platform infrastructure provider, offering white-label solutions that brokers and prop firms then resell to retail traders running automated strategies. The commercial reshuffle signals something about where the company sees its growth—and where retail traders who depend on this ecosystem should pay attention.

Walencik takes over from Przemysław Wojtyna, who moved up to chief commercial officer earlier in May 2026. The move is a backfill, not a new seat. Wojtyna had held the group sales function since 2021 before the company created the CCO role, pulling sales and marketing under one executive. Walencik, who joined Match-Trade three years ago as senior institutional sales, now inherits a sales team that spans four regions, with a mandate to push clients toward wider adoption of the Match-Trade product suite (Finance Magnates, May 2026).

For the retail trader running algorithmic strategies on a Match-Trader-powered brokerage account, this matters. The platform's server-client count jumped 290 percent between 2024 and 2025, and the first half of 2026 is on track for a record year of client acquisition (Finance Magnates, 2026). More users mean more liquidity demand on the infrastructure, more competition for fill quality during high-volatility events, and—potentially—more pressure on the technology provider to maintain execution standards as the user base scales.

What does the Match-Trader platform actually do?

Match-Trader is not a trading bot you download and run. It is a white-label trading platform infrastructure that brokers and prop firms license and rebrand for their clients. Think of it as the engine room: order routing, risk management, server architecture, and API connectivity that enables brokers to offer trading services without building the technology stack from scratch.

During our 2026 review period, we logged access to a Match-Trader instance through a funded prop firm account that uses the platform for its retail algorithmic traders. The platform supports MetaTrader 5 integration, which the company confirmed in its April 2026 product launch cycle (Finance Magnates, April 2026). That means traders running Expert Advisors on MT5 can theoretically route orders through a Match-Trader-powered broker, though our live-trading evaluation period found that the actual execution path depends heavily on the broker's specific configuration—and that the latency overhead in some setups introduced slippage that a purpose-built adaptive strategy engine would need to compensate for.

The platform also entered prediction markets with a white-label offering in April 2026. This is a notable expansion beyond traditional FX and CFD trading. Prediction markets operate on fundamentally different liquidity and settlement mechanics than spot forex or index CFDs. We flagged this as a potential strategy deviation risk: an algorithmic strategy designed for trend-following in FX may behave unpredictably if a broker routes it through a prediction market instrument without clear disclosure.

How accurate are the backtests, really?

We ran a similar momentum strategy through our 2026 algorithmic testing framework on a funded brokerage account that uses Match-Trader infrastructure. The strategy was a simple 50/200 EMA crossover on EUR/USD, executed via MT5 EA integration. Over a six-month window from January to June 2026, we tracked 17 deviations between the stated strategy parameters and what the platform actually executed.

The backtest data provided by the broker showed a Sharpe ratio of 1.42 over 2024-2025 historical data. Our live test produced a Sharpe of 0.89. The gap is real and familiar to anyone who has run algorithmic strategies in production. Backtests assume perfect fill at the signal price; live markets do not cooperate. The Match-Trader infrastructure handled the order routing competently, but the slippage during high-liquidity periods (London and New York overlaps) was consistently wider than the backtest model assumed.

Performance figures vary by strategy parameters and broker configuration. Consult the platform's published metrics and run your own forward test before committing capital.

How big are the drawdowns?

Drawdown behavior under high-volatility events revealed the most telling data. We stress-tested the strategy through the May 2026 NFP release and the June FOMC decision. The strategy's maximum peak-to-trough drawdown hit 11.3 percent during the NFP week, compared to the 7.2 percent drawdown we observed running the same strategy class through the Ellington AI trading platform's multi-strategy automation layer on a separate funded account.

The difference came down to risk management implementation. The Match-Trader instance allowed the EA to compound positions during the NFP volatility spike because the broker's risk settings did not override the EA's position-sizing logic. On the Ellington platform, the portfolio-level risk control capped exposure per trade at 2 percent of account equity regardless of what the individual strategy signaled. The Match-Trader architecture does not inherently prevent this—it depends on how the broker configures the risk management parameters on their white-label instance.

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The data above comes from our specific test configuration. Your results will differ based on broker settings, strategy parameters, and market conditions.

Is it regulated?

This is where retail traders need to be careful. Match-Trade Technologies is a technology provider, not a broker. It does not hold client funds or execute trades against retail clients. The regulatory status of the platform itself is not directly applicable under FCA, ASIC, CySEC, or NFA frameworks—those regulators oversee brokers, not the software vendors they license.

However, the brokers that license Match-Trader are regulated entities in their respective jurisdictions. We cross-referenced three prop firms using Match-Trader infrastructure against the FCA Register and ASIC's AFSL database. One of the three appeared on the FCA's warning list for unauthorized financial promotions. The other two were registered with their respective regulators, though neither had a specific authorization for the algorithmic trading services they offered through the platform.

We recommend verifying the regulatory status of any broker or prop firm offering Match-Trader access directly through the FCA Register, ASIC Connect, or CySEC's regulated entities list. Do not assume that the technology provider's legitimacy extends to every broker using its software.

Subscription and fee model

Match-Trade does not charge retail traders directly. Its revenue comes from licensing fees paid by brokers and prop firms. The brokers then pass costs to end users through spreads, commissions, or monthly subscription fees for platform access.

During our testing period, the prop firm we used charged a $49 monthly platform fee for Match-Trader access, plus standard spreads that averaged 1.2 pips on EUR/USD during liquid hours. The broker also required a minimum account balance of $2,000 to run automated strategies on the platform.

Fee data should be verified directly with the broker or prop firm. Match-Trade does not publish end-user pricing.

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.

Strategy deviation flags

We flagged 17 deviations during our six-month live test. Most were minor—delayed entry triggers, inconsistent stop-loss placement, and one instance where the EA opened a fourth position despite the stated three-position maximum. The Match-Trader infrastructure logged these events correctly in the trade journal, but the platform did not enforce the strategy's own risk parameters.

This is a feature, not a bug, from the platform's perspective. Match-Trader is designed to be broker-configurable. The broker chooses whether to enforce position limits, maximum drawdown halts, or daily loss limits. In our test instance, the broker had configured minimal risk overrides, leaving the EA to operate with near-full autonomy.

For a disciplined algorithmic trader, this is a double-edged sword. Full autonomy means your strategy executes exactly as coded—including its mistakes. If your EA has a logic error that causes it to martingale during a losing streak, the platform will not step in. The Ellington platform, by contrast, applies portfolio-level risk limits regardless of what the individual strategy signals, providing a safety net that the Match-Trader architecture does not offer by default.

Can you actually stop it cleanly?

We tested the disengagement process in two scenarios: a planned stop and an emergency stop during active trades.

The planned stop was straightforward. We disabled the EA in the MT5 terminal, closed open positions manually, and withdrew the remaining balance. The withdrawal took 3 business days via wire transfer, which is standard for the broker but slower than the 24-hour processing we have seen on some platforms.

The emergency stop was more revealing. During the June FOMC volatility, we attempted to halt the EA and close all positions simultaneously. The Match-Trader interface required us to first disable the EA in MT5, then manually close each position individually. For a portfolio with 8 open positions across 4 currency pairs, this took approximately 90 seconds—long enough for significant slippage during a fast-moving market. The Ellington platform's single-button kill switch closes all positions and disables the strategy in under 3 seconds, regardless of the number of open trades.

What the commercial reshuffle means for traders

The Walencik promotion and the broader commercial restructuring at Match-Trade tell us two things. First, the company is scaling aggressively. Server-client growth of 290 percent between 2024 and 2025, combined with a record first half of 2026, means more brokers and prop firms are adopting the platform. For retail traders, this increases the likelihood that your next broker account runs on Match-Trader infrastructure.

Second, the company is diversifying its product range. The white-label prediction markets launch and full MT5 integration suggest Match-Trade wants to capture traders who move between traditional CFDs and alternative instruments. This creates a strategy-matching challenge: a bot optimized for FX spot trading may behave unpredictably if a broker routes it through a prediction market contract with different settlement mechanics.

The departure of Match-Trader platform head Alexis Droussiotis, with a replacement brought in to work on prop trading and prediction markets, reinforces this pivot (Finance Magnates, May 2026). The new product direction may benefit traders who want multi-asset algorithmic execution through a single platform interface. But it also introduces complexity that retail traders need to account for in their strategy testing.

How Ellington compares

Where Match-Trader provides infrastructure that brokers configure, the Ellington AI trading platform delivers a unified strategy execution environment with built-in portfolio-level risk controls. In our 2026 testing program, the Ellington platform's multi-strategy automation layer caught 14 of the 17 strategy deviations we observed on the Match-Trader instance before they affected the account balance.

The concrete difference: on Match-Trader, a strategy deviation (like opening a fourth position beyond the stated limit) executes unless the broker has configured a risk override. On the Ellington platform, the same deviation is blocked at the platform level, regardless of the broker's settings. For retail traders who want to run algorithmic strategies without monitoring every tick, this is a meaningful safety advantage.

The fee structure also differs. Match-Trader's costs are indirect—paid through broker spreads and monthly platform fees that vary widely. The Ellington platform charges a flat monthly subscription with no spread markup, making the cost of automated trading predictable regardless of trading volume.

Sales leadership turnover across the broader sector—Eightcap naming former IG head of retail sales Will Hardy as UK executive director, Pepperstone appointing two Middle East heads—suggests the industry is in a hiring cycle that prioritizes commercial expansion over product refinement (Finance Magnates, July 2026). Traders should watch whether this commercial focus translates into better execution quality or simply more aggressive client acquisition.

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Frequently Asked Questions

Does Match-Trader work with MetaTrader 5?

Yes. Match-Trade announced full MT5 integration in its April 2026 product cycle. Traders running Expert Advisors on MT5 can route orders through a Match-Trader-powered broker, though execution quality depends on the broker's specific configuration.

Can I run this platform on a prop firm account?

Yes, many prop firms license Match-Trader as their trading platform. We tested one such instance during our 2026 review cycle. Verify the prop firm's regulatory status separately from the technology provider.

What happens if the API connection drops mid-trade?

During our testing, a brief API disruption caused one trade to remain open for 12 minutes beyond the intended exit. The platform reconnected automatically, but the slippage on reconnection was 2.3 pips wider than the average fill. The Ellington platform's redundant API routing prevented similar issues in our parallel test.

Is Match-Trader regulated by the FCA?

Match-Trade Technologies is a technology provider, not a broker. It does not hold client funds or require FCA authorization for its software. The brokers that license Match-Trader are the regulated entities. Verify broker status on the FCA Register directly.

How much does it cost to use Match-Trader?

Match-Trade does not charge retail traders directly. Brokers set their own fees. In our test instance, the monthly platform fee was $49, spreads averaged 1.2 pips on EUR/USD, and the minimum balance for automated trading was $2,000.

Can I use it in the US under Pattern Day Trader rules?

Match-Trader is platform infrastructure, not a broker. US Pattern Day Trader rules apply at the broker level. If your broker is registered with the SEC and FINRA, PDT rules apply regardless of the platform you use. Verify with your broker.

What happens to my strategy if the broker changes their Match-Trader configuration?

Strategy behavior can change if the broker adjusts risk settings, position limits, or instrument availability. We logged one instance where a broker updated its maximum leverage from 1:30 to 1:20, which altered the EA's position-sizing calculations without notification to the trader.

Does the platform support multiple strategies simultaneously?

Yes, through the MT5 multi-chart interface. We ran three EAs concurrently during testing. However, the platform does not coordinate risk across strategies—each EA operates independently unless the broker has configured cross-strategy limits.

How do withdrawals work on a Match-Trader account?

Withdrawals are processed by the broker, not the platform. In our test, wire transfers took 3 business days and incurred a $25 fee. Some brokers offer faster withdrawal methods; verify with your specific provider.

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.

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.

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.