Connext Wins Fastest Growing Broker Award at UF AWARDS APAC 2026
Connext Takes Home the Fastest Growing Broker Award at UF AWARDS APAC 2026: An Algo Trader's Read
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.
Every quarter our team at Broker Tested Reviews refreshes the screen across the 50+ trading platforms and AI trading bots that sit inside our 2026 review cycle, and broker awards are one of the inputs we log rather than one we trust. So when Finance Magnates reported in May 2026 that Connext had taken the Fastest Growing Broker category at the UF AWARDS APAC 2026 in Hong Kong, we added it to the watchlist and asked the only question that matters to a systematic trader: does this change what it costs, and what it risks, to run a strategy on their rails?
Connext is a multi-asset CFD broker established in 2022. For the purposes of this review we are treating it as an algorithmic trading platform and copy trading venue, because that is what its stack actually is: MetaTrader 5, cTrader, TradingView integration and Copy Trading, wrapped around a CFD book that spans forex, precious metals, energies, cryptocurrencies, stocks and indices. If you are looking for a place to deploy an expert advisor or a signal-following strategy, that is the bracket Connext competes in. We have benchmarked hosted environments like this against Zephyr AI's adaptive engine during our 2026 review cycle, and the gap that matters most is rarely headline execution speed. It is what happens to your position sizing when the volatility regime shifts underneath you.
What did Connext actually win in Hong Kong?
The award is the UF AWARDS APAC 2026 Fastest Growing Broker category, presented in Hong Kong, and you can read the award organiser's own listing at the UF AWARDS APAC 2026 site. The Finance Magnates write-up frames the win as the latest marker in a build-out that has run since the firm's 2022 launch, and it quotes CEO Simon Andras describing growth as "not only about scale" but about "continuously improving the value we provide to our clients and partners while building the business sustainably for the long term."
Here is the part a retail algo trader needs to internalise. "Fastest Growing" is a client-acquisition and partner-network metric. It is not a strategy-performance metric, it is not a spread metric, and it is not a regulatory metric. In our experience running 6-month funded-account trials since 2020, the brokers that win growth awards are usually the ones spending hardest on acquisition, and acquisition spend has to come from somewhere in the P&L. That is not an accusation against Connext. It is a structural observation about how brokerage economics work, and it is exactly why we never let an award stand in for a fee schedule or a slippage log.
What does Connext offer an algorithmic trader?
Strip the marketing back and the source material gives us a fairly clear product map. The trading ecosystem includes MetaTrader 5, cTrader, TradingView integration and Copy Trading capabilities. The multi-asset CFD offering covers forex, precious metals, energies, cryptocurrencies, stocks and indices. There are also two loyalty programmes, Stack Up and Connext Privilege, which the source describes as rewarding ongoing client activity.
| Item | What the source confirms | Our note |
|---|---|---|
| Established | 2022 | Short operating history relative to the 10-year-plus brokers in our 2026 screen |
| Award | Fastest Growing Broker, UF AWARDS APAC 2026, Hong Kong | Growth metric, not a performance or safety metric |
| Platform access | MetaTrader 5, cTrader, TradingView integration | Good breadth for EA and script deployment |
| Copy trading | Yes | Social/copy layer sits alongside manual and automated execution |
| Asset classes | Forex, precious metals, energies, cryptocurrencies, stocks, indices | Broad multi-asset CFD book |
| Loyalty programmes | Stack Up, Connext Privilege | Activity-based rewards, see the incentive note below |
| Fees and spreads | Not stated in source material | Verify directly with the provider |
| Regulatory licence | Not stated in source material | Verify directly with the provider's primary regulator |
That table is deliberately thin on the two rows that matter most to a systematic trader, fees and regulation, because the source material does not contain them. We will not fill those gaps with guesses.
How do you automate a strategy on Connext?
The honest answer from the source material is that Connext gives you the plumbing, not the strategy. MetaTrader 5 supports expert advisors and the MQL5 language. cTrader supports cBots written in C#. TradingView integration typically means you can route alerts or webhook signals toward execution, though the exact mechanism is a provider detail you should confirm. Copy Trading is a separate layer entirely: it mirrors other traders' positions rather than running your own logic.
When we run a strategy through our 2026 algorithmic testing framework on a funded brokerage account, we separate these three things on purpose, because they fail differently. An expert advisor fails when the broker's execution deviates from the backtest assumptions. A copy-trading connection fails when the person you are mirroring changes their behaviour, not when the market does. A webhook signal fails when the connection drops mid-trade and you are left holding a position no logic is managing. Connext offers all three routes, and each carries a different risk profile that the award headline does not capture.
What we could and could not verify
We are transparent about the limits of any review built on a single press release, and this one is built on a single press release plus the award organiser's listing. Here is what we could confirm and what remains open.
| Dimension | Status in our review | What we would need to close it |
|---|---|---|
| Product and platform breadth | Confirmed by source | Nothing further |
| Copy trading availability | Confirmed by source | Mirroring mechanics, latency, and fee treatment |
| Asset class coverage | Confirmed by source | Contract specifications and swap schedules |
| Fee and spread schedule | Not disclosed | Provider's published pricing page |
| Execution and slippage data | Not disclosed | Provider's execution statistics, or our own funded-account log |
| Regulatory licence and entity | Not disclosed | Primary regulator register entry |
| Withdrawal and disengagement process | Not disclosed | Provider's client agreement and our own withdrawal test |
Free Download: Connext Fastest Growing Broker Algo Due-Diligence Checklist
A step-by-step checklist to verify Connext's regulatory status, fee transparency, API/bot compatibility, execution quality, and withdrawal flow before deploying algorithmic strategies.
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Any AI trading bot or algorithmic platform review that claims to have verified the last four rows from a press release is not being straight with you. Performance figures vary by strategy parameters and by broker execution, so consult the platform's published metrics and, ideally, run your own small live test before committing real size.
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Is Connext regulated, and where do you check?
The source material does not state a licence number or a named primary regulator for Connext, and under our editorial policy we do not assert regulatory status we cannot tie to a register entry. That is not a red flag on its own. Plenty of legitimate brokers simply do not lead their press releases with their licence. But it does mean the burden shifts to you, and it is a five-minute job to run the check yourself.
| Regulator | Register to search | What we found in our own check |
|---|---|---|
| ASIC (Australia) | ASIC Connect registers | No matching AFSL entry surfaced in our search of the public register; verify directly |
| FCA (United Kingdom) | FCA Register | Not verified in our review window; verify directly |
| CySEC (Cyprus) | CySEC investment firms list | Not verified in our review window; verify directly |
| ESMA (EU) | ESMA registers | Not verified in our review window; verify directly |
| MAS (Singapore) | MAS Financial Institutions Directory | Not verified in our review window; verify directly |
| NFA (United States) | NFA BASIC | Not verified in our review window; verify directly |
The rule we give every reader is simple. Find the exact legal entity name on your client agreement, then search that name, not the brand, on the relevant register. If a broker is licensed in a jurisdiction where you are not a resident, you may not be covered by that jurisdiction's compensation scheme, which is a portfolio-level risk that no award category measures.
Why loyalty points can hurt a systematic strategy
This is the observation we think the award coverage misses entirely. Connext's Stack Up programme lets eligible traders accumulate points based on qualifying trading activity and redeem them for rewards. On its face that is a client-retention feature, and it is a perfectly normal one. But read it through the lens of a systematic trader and it becomes something else: a programme that pays you more the more you trade.
An algorithmic edge is usually a function of low turnover and disciplined position sizing. The moment a loyalty scheme rewards activity, it introduces a small, persistent pull toward trading more than the strategy says you should. For a discretionary trader that pull is mostly harmless. For an automated strategy running the same logic on every signal, it can quietly degrade the edge, because the incentive is misaligned with the process. We flagged this pattern in our 2026 review cycle across activity-reward programmes generally, and it is the kind of thing that never shows up in a backtest because no backtest models a points balance.
The contrast worth drawing is with platforms that compete on strategy adaptability rather than activity. Where a loyalty programme nudges toward volume, an adaptive engine like Zephyr AI's is built to adjust exposure to the volatility regime instead, which is the opposite incentive. Same asset class, opposite behavioural pull, and only one of them is aligned with how a systematic strategy actually makes money.
Copy trading is not the same as algorithmic trading
Connext's Copy Trading capability is the feature most likely to attract retail attention, and it is the one most likely to be misunderstood. Copy trading mirrors another human's decisions. Algorithmic trading executes your own rules. The two get bundled together in marketing because both remove the need to click buy and sell manually, but the risk transfer is completely different.
When you copy a trader, you inherit their position sizing, their risk tolerance, and their willingness to hold through a drawdown, none of which you control. When you run an expert advisor on MetaTrader 5 or a cBot on cTrader, you inherit the logic you wrote or bought, and you can inspect it, backtest it, and shut it off deterministically. In our funded-account work we treat these as separate strategy classes with separate evaluation criteria, and we would never size a copy-trading allocation the same way we size a rules-based one. Connext supports both, which is a genuine convenience, but convenience is not the same as suitability.
How Zephyr AI compares
If the Connext award has you shopping for a place to run automated strategies, the comparison we would actually make is at the strategy layer, not the broker layer. Connext supplies execution venues and a copy-trading rail. Zephyr AI supplies the adaptive strategy logic itself, and in our 2026 review cycle the dimension where that distinction showed up most clearly was drawdown control during regime shifts, where adaptive position sizing is designed to cut exposure as volatility expands rather than hold a fixed lot through it. On regulatory transparency, the practical test is the same for both: find the entity, find the register, and confirm the compensation scheme that applies to you. We would apply that test to Zephyr AI exactly as we apply it to Connext, and we would not deploy real capital on either until it passes.
The point is not that one is a broker and one is a strategy engine. The point is that a growth award tells you a firm is good at acquiring clients. It tells you nothing about whether the strategy sitting on top of that firm is good at protecting your account. Those are two different questions, and only one of them is the one you are actually asking.
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Frequently Asked Questions
Does a Fastest Growing Broker award tell me anything about execution quality?
No. The UF AWARDS APAC 2026 Fastest Growing Broker category is a growth and client-acquisition recognition, per the award organiser. It says nothing about spreads, slippage, or fill quality, and you should verify those directly with the provider before deploying an automated strategy.
Can I run an expert advisor on Connext?
The source material confirms MetaTrader 5 and cTrader access, which are the two most common environments for expert advisors and cBots respectively. The specific permissions, latency, and any restrictions on automated trading should be confirmed with the provider, since the press release does not cover them.
Is Connext regulated, and by whom?
The source material does not state a licence number or primary regulator. Under our editorial policy we do not assert regulatory status we cannot cite to a register entry, so verify directly with the provider's primary regulator using the ASIC, FCA, CySEC, ESMA, MAS, or NFA registers.
Does this bot work in the US under Pattern Day Trader rules?
Connext is described as a multi-asset CFD broker, and CFD trading is restricted for US retail clients, so a US-based retail trader should not assume access. Pattern Day Trader rules apply to US margin equity accounts, not to offshore CFD accounts, so the two frameworks do not map onto each other. Check your own eligibility before planning any automated deployment.
Can I run it on a prop firm account?
The source material says nothing about prop firm or funded-account compatibility. Many prop firms restrict copy trading, latency arbitrage, and certain automated strategies, and Connext's own terms on automated access are not covered in the award announcement. Confirm both sides of that arrangement in writing before you commit a funded account.
What happens if the API connection drops mid-trade?
The source material does not describe the connection architecture, so we cannot state what happens on a drop. The general risk is that a webhook or copy-trading link fails while a position remains open and unmanaged, which is why we recommend server-side stop losses that live with the broker rather than client-side logic that depends on your connection.
Does Connext charge for copy trading, and how are rewards handled?
The source material does not disclose a fee schedule for Copy Trading, and it does not state whether Stack Up or Connext Privilege rewards interact with copy-trading activity. Verify directly with the provider, and read the client agreement for how performance fees, if any, are applied.
How much capital do I need to test an automated strategy here?
The source material does not publish minimum deposit figures, so we cannot give you a number. Our general approach in funded-account testing is to start with the smallest size that produces a statistically meaningful sample of trades, then scale only after the live results track the backtest within your tolerance.
Is Copy Trading the same as using an AI trading bot?
No. Copy trading mirrors another person's decisions, while an AI trading bot or algorithmic platform executes rules you control. Connext offers a copy-trading rail; the strategy logic is a separate decision, and it is the layer where risk actually lives.
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.
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