Forex Fury Alternatives 2026: Compare Live Account Results Before You Switch

Disclosure: some links on this page are affiliate links, and we earn a commission if you buy through them at no extra cost to you. Every number below comes from accounts we fund and track ourselves, never from a customer’s account and never from a vendor’s marketing page. 

Forex Fury is a mostly-GBPUSD intraday system that holds one position at a time and does not add to losers. Across fifteen months on our tracked account it returned +16%, with a realized drawdown of 10% and a max floating loss of 2%. The closest genuine substitutes we can evidence are Prop Firm Robots App, a portfolio that runs a library of single-trade strategies, and Forex Trend Hunter, a single-position EURUSD system. Prime Scalper is worth knowing about too, but it trades gold, so it belongs beside Fury rather than in its place.

For anyone seeking a Forex Fury alternative with the same no-martingale structure, Prop Firm Robots App is the closest match in our tracked data, a portfolio whose underlying strategies each hold one trade at a time; Forex Trend Hunter is the direct currency option, while Prime Scalper is better treated as a gold-based complement than a replacement.

Option	Why it qualifies	Main drawback
Prop Firm Robots App	A portfolio of separate single-trade strategies, none of which adds to a loser, with floating loss held to 6%	Gold-led rather than GBPUSD, holds for one to five days, and four of the ten tracked accounts finished negative
Forex Trend Hunter	Single-position EURUSD system with the longest live history here, running seventeen months	48% max floating loss
Prime Scalper	Tight single-trade approach with the lowest floating loss of the alternatives, at 3%	Works gold rather than GBPUSD, so not a like-for-like swap
Forex Fury	Baseline: mostly GBPUSD, intraday, one position, no recovery stacking	10% realized drawdown on our tracked account

Why anyone starts looking for a replacement

People land on this page for a handful of reasons, and I have heard most of them directly. Some want a second algo so a single account is not resting on a single algo. Some hit a stretch of flat months and wonder whether the grass is greener. A few have prop challenge rules that Fury’s approach does not comfortably fit.

Whatever the reason, the search usually goes badly for traders. Type the query and you get affiliate listicles ranking whatever pays best, decorated with backtests and vendor screenshots.

Here is what I think most of those pages get wrong at a structural level: they treat “an alternative” as “any other robot.” It is not. A substitute has to do roughly the same job in roughly the same way, or you are not switching, you are changing your risk exposure entirely while telling yourself it is a lateral move.

What sits behind the numbers on this page

We track 516 live and funded accounts holding 277,277 closed trades. From that pool, 58 systems have enough history for us to say anything defensible, with the longest records running 31 months. Every performance figure comes only from the accounts we fund ourselves; customer accounts contribute anonymous, aggregated behavior and never a published return.

Every claim here is verified against executed trades on accounts we own. Not simulated. Not supplied by a seller. You can browse the raw account data yourself on our live results page.

Two measurements matter, and they are not the same thing:

Realized drawdown is the deepest fall in a robot’s own run of closed trades, measured against the account’s high-water mark. Because it counts only that robot’s realized results, it stays honest even on an account shared with other systems.

Max floating loss (the figure we used to call worst open loss) is how far underwater a robot’s open, unclosed positions went at their deepest point. This is the one that exposes a grid, because a grid can show a calm balance line while quietly sitting on a 30% unrealized loss it has not yet taken.

Read together they tell you the shape of the risk. A small realized drawdown beside a large floating loss means the thing is holding its losers, while a large realized drawdown beside a small floating loss means it takes the hit and moves on.

The finding that reframes this entire question

Of the 58 systems we can report on, 49 are grid or martingale. That is 84%.

Seven hold a single position at a time, Forex Fury among them, and the remaining two are portfolio products that run libraries of single-trade strategies rather than trading as one robot.

I found that number genuinely surprising the first time we ran it, and it changes what “alternative” means here. If you bought Fury partly because it does not stack recovery trades on top of a loser, then 49 of the 58 options in our data are not alternatives at all. They are a different product category wearing similar marketing.

That narrows the field dramatically, which is inconvenient for an article that would prefer ten entries. It is also the honest answer.

Why you cannot just rank strategy types by drawdown

This is where I see writers, and buyers, go badly wrong.

Type	Systems	Realized drawdown (typical / worst)	Max floating loss (typical / worst)	Whole-account drawdown (typical / worst)
Grid	23	5% / 26%	21% / 84%	20% / 78%
Martingale	26	4% / 45%	14% / 75%	17% / 91%
Scalper	4	23% / 48%	18% / 20%	53% / 58%
Portfolio	2	8% / 9%	7% / 7%	17% / 19%
Swing	1	5% / 5%	48% / 48%	47% / 47%
Intraday	2	29% / 29%	2% / 2%	29% / 29%

Read across each row instead of down each column, and read the first two number-pairs together, because the gap between them is where the story lives. Grid and martingale post the calmest realized figures and the ugliest floating extremes: 4% to 5% realized on an ordinary account, against open losses that reach 75% to 84% when a trend runs against them. That is not a contradiction. Converting frequent small wins into rare enormous losses is precisely what those mechanisms do, and most of those accounts simply have not met their bad month yet.

The two portfolio products are the only group whose worst case stayed bounded on every measure: 9% worst realized drawdown, 7% worst floating loss and 19% worst whole-account drawdown across all the accounts they ran on. That is the strongest risk claim in our data, and it belongs to those two products specifically, not to a “portfolio type” a buyer can shop for.

One caveat I want on the record: the scalper row rests on only four systems and a small number of accounts, several of them small gold accounts where a fixed dollar loss registers as a large percentage. Its high realized figure partly reflects account size rather than method. Small samples deserve small confidence.

How I filtered the field down to three

Worth showing the working, since the shortlist is short enough that you might reasonably ask what got cut.

The filter runs in this order:

Does it avoid grid and martingale recovery, holding one trade at a time rather than stacking size onto a loser? This is the property Fury buyers usually care about, whether or not they phrase it that way. Applying it removes 49 of 58 candidates immediately.

Do we have at least three months and thirty-plus closed trades on an account we fund? Anything failing this gets excluded regardless of how good the vendor’s chart looks. If we cannot evidence it, we do not write about it.

Does it work the same instrument, or something genuinely uncorrelated? Same instrument means it competes for the identical slot in your account. Uncorrelated means it might sit alongside. Anything else is noise.

Can we report the full range across every account, including the losers? Quoting only the best account is the oldest trick in this category, and we would rather not participate.

Three names survive that sequence. One further candidate that would otherwise have made a fourth entry has since had its qualifying account reclassified, which leaves us with no evidence we are allowed to publish, so we have removed it rather than quote figures we can no longer stand behind. Leaving that decision unstated would be the kind of omission this page exists to argue against.

The baseline: what Forex Fury did on our account

Before comparing anything, here is the thing being compared.

Measure	Result
Market traded	Mostly GBPUSD
Type	Intraday
Typical hold	Hours
Positions open at once	One
Adds to losing positions	No
Win rate	49%
Realized drawdown	10%
Max floating loss	2%
Return	+16%
Tracked for	15 months

A 49% win rate reads as unremarkable next to the 90%+ figures plastered across vendor pages. Pair it with a 2% max floating loss and it looks considerably better, because that pairing tells you the algo takes its losses rather than warehousing them.

Our Results

Alternative 1: Prop Firm Robots App

If Fury’s no-martingale structure is what you value, this is the closest thing we hold data on, though it is built differently from a single robot. Prop Firm Robots App is a portfolio product: rather than trading one strategy, it runs a library of separately generated strategies, each of which takes one trade at a time and cuts it at a fixed stop. The account therefore shows several open positions at once, but no single strategy is stacking recovery trades onto a loser. It leans gold, works across several markets rather than sitting on one pair, and we hold eleven months of records across the accounts we run it on.

The win rate is 43%. I want to sit on that figure for a moment, because it looks alarming and is not.

Measure	Result
Markets	Multi-market, gold-led
Type	Portfolio
Typical hold	1 to 5 days
Positions open at once	Several, one per strategy
Adds to losing positions	No
Win rate	43%
Realized drawdown	9%
Max floating loss	6%
Return range	−5% to +32%
Tracked for	11 months

Losing more often than winning is structurally normal for a book of trend-style strategies, and the pattern behind it is easy to describe. Small losses accumulate while each strategy waits, then a handful of runs pay for them. What that produces is a 6% max floating loss beside a 9% realized drawdown, both of them bounded, which is what spreading a small amount of risk across dozens of independent strategies tends to buy you.

The return range is the honest part, and it needs more than one number. Six of the ten accounts we track made money and four did not, so the range runs from −5% to +32%; and across every dollar traded, the product is fractionally underwater, with a pooled profit factor of 0.93 even though the median account reads 1.09. I would rather show you the spread and the pooled figure than quote the flattering median and hope you do not ask.

Worth flagging for anyone running challenges: holding positions for days interacts with prop firm rules in ways an intraday system that closes out the same session does not. Overnight exposure, weekend gaps and consistency rules all come into play.

Results

Alternative 2: Forex Trend Hunter

Seventeen months of history here, the longest record among the three, and a genuinely mixed picture that I am not going to smooth over.

Forex Trend Hunter trades EURUSD, holds for one to five days, wins 59% of the time and never adds to a losing position. Structurally, it belongs in the same family as Fury.

Measure	Result
Market	EURUSD
Type	Swing
Typical hold	1 to 5 days
Positions open at once	One
Adds to losing positions	No
Win rate	59%
Realized drawdown	5%
Max floating loss	48%
Return	+48%
Accounts in profit	4 of 4
Tracked for	17 months

Now the part that deserves your attention. A 48% max floating loss means that at one point, the open position sat nearly half the account value underwater, while the realized drawdown stayed at just 5% because the system refused to close at the bottom. It recovered, all four tracked accounts finished positive, and the return landed around +48%.

Single-position software is not automatically gentle, and Trend Hunter proves it. Wide stops and multi-day holds can dig a deeper hole than a well-behaved grid, and I think that surprises people who assume “no martingale” means “low risk.”

Against Fury’s 2% max floating loss, this is more than twenty times the floating exposure. Whether that trade is worth making depends entirely on the account you are running it in, and honestly, on whether you can watch a position sit that far underwater without switching it off at the worst possible moment. Most people cannot, and I include myself in that on bad days.

EURUSD does at least give you liquidity working in your favor. Global foreign exchange turnover reached USD 9.6 trillion daily in April 2025, with the euro-dollar pair taking the largest single share (BIS Triennial Central Bank Survey).

Our Results

Close, but a different market: Prime Scalper

I am including this one with a clear label attached, because it is not a swap for Fury.

Prime Scalper works gold. Mostly gold, and nothing that behaves like a currency pair. Comparing it to a GBPUSD system as though they compete for the same slot in your account would break the first rule we apply internally, which is that instruments have to match before anything else does.

That said, its risk numbers are the cleanest in this piece, and pretending otherwise would be its own kind of dishonesty.

Measure	Result
Market	Mostly gold
Type	Scalper
Typical hold	Minutes
Trades per day	1.24
Adds to losing positions	No
Win rate	69%
Realized drawdown	19%
Max floating loss	3%
Return	+43%
Accounts in profit	2 of 2
Tracked for	8 months

A 3% max floating loss is the tightest figure among these three alternatives, bettered only by Fury’s own 2% baseline, and it sits beside the highest profit factor in the group. Both accounts we track finished in profit, returning around +43%.

Two honest qualifications. The record is eight months, which is the shortest here, and two accounts is a thin sample. Gold also behaves nothing like a major currency pair; volatility arrives faster and in bigger chunks, which is worth understanding before you assume the past eight months represent normal conditions. Our guide to trading gold on MetaTrader covers the practical differences.

Think of this as a complement to a currency system rather than a replacement for one. Different instrument, different session, different failure conditions, which is roughly the definition of something worth holding alongside rather than instead.

Our Results

What switching actually costs, beyond the purchase price

Most comparison pages stop at features and returns. Having watched people move between algos for a couple of years now, the expensive parts are rarely the ones on the spec sheet.

You reset your evidence to zero: Fifteen months of watching something behave tells you a great deal about how it acts in conditions you have personally lived through. Swap it out and you are back to trusting somebody else’s chart, including ours. That knowledge had value, and switching spends it.

Settings rarely transfer: Risk configuration that suited an intraday system on sterling will not suit a multi-day position on the euro. People carry across their old lot sizing without thinking, then wonder why the exposure feels wrong. It feels wrong because it is.

The first bad month arrives without context: When a familiar algo has a poor stretch, you know roughly what normal looks like for it. When a new one does the same thing in week three, you have no reference point, and the temptation to switch it off at the bottom is enormous. That single behavior, turning things off during the recovery phase, has probably cost readers of this site more than any product they ever bought.

Overlapping exposure is easy to create by accident: Adding a EURUSD system to an account already carrying euro exposure is not diversification, whatever the marketing implies. Instruments that fail for the same reason fail on the same day.

None of that argues against switching. It argues for doing it deliberately, on a demo first, with sizing worked out fresh rather than inherited.

All four, side by side

How they operate

	Forex Fury	Prop Firm Robots App	Forex Trend Hunter	Prime Scalper
Instrument	Mostly GBPUSD	Multi-market, gold-led	EURUSD	Mostly gold
Type	Intraday	Portfolio	Swing	Scalper
Hold	Hours	1 to 5 days	1 to 5 days	Minutes
Positions at once	One	Several	One	One
Adds to losers	No	No	No	No
Overnight exposure	Minimal	Yes	Yes	Minimal

What they did on our accounts

	Forex Fury	Prop Firm Robots App	Forex Trend Hunter	Prime Scalper
Record length	15 months	11 months	17 months	8 months
Win rate	49%	43%	59%	69%
Realized drawdown	10%	9%	5%	19%
Max floating loss	2%	6%	48%	3%
Return	+16%	−5% to +32%	+48%	+43%

Notice the win rate column has almost no relationship to the risk columns. Prop Firm Robots App wins least often yet keeps its floating loss to single digits; Prime Scalper wins most often and floats the least of the alternatives; Forex Trend Hunter wins more often than Fury and went more than twenty times deeper underwater.

The trap I would most like you to avoid

Somewhere in your search you will meet a page advertising a 90%-plus win rate. It will look like the safe choice.

Here is the counterexample from our own data, and it is not subtle. PoundX Step wins 98% of its trades, and it is a martingale: every one of those wins is booked while a losing basket sits open, and the balance line stays smooth right up until the mechanism runs out of room. Premium Portfolio wins 83% of the time and has floated 84% of an account underwater at its deepest, the largest open loss anywhere in our data. Forex Gold Investor is the robot that actually took the hit: it won 68% of its trades, realized a 43% drawdown and finished 40% down on the account that ran it longest.

High win rates are usually a signal that software is holding losers rather than closing them. The wins get booked, the loss sits open, and the percentage looks wonderful right up until it does not. If you take nothing else from this page, take that. Our breakdown of grid systems and the piece on martingale mechanics go deeper into why.

Choosing between them

Rather than crowning a winner, here is how I would weigh past performance against your situation.

You want the closest structural match to Fury. Prop Firm Robots App. A portfolio of single-trade strategies, no recovery stacking, floating loss held to single digits, and the bounded risk profile that spreading across dozens of independent strategies tends to produce. Read the pooled figure, not just the median.

You want the longest evidence trail and can stomach depth. Forex Trend Hunter. Seventeen months, every account positive, and a 48% max floating loss along the way that would have tested anyone’s nerve.

You want to spread across instruments rather than replace. Prime Scalper alongside what you already run. Gold and sterling do not usually break on the same day, and spreading exposure across things that fail for different reasons is one of the few defensible ideas in this business (SEC Office of Investor Education).

You are running a challenge. Check loss limits and holding rules before anything else. Multi-day positions and same-session trades interact with prop rules very differently. Our prop challenge guide covers the specifics.

If you are keeping Fury and adding a second system rather than switching, that is usually the better move, and our portfolio course covers how to size two algos in one account without doubling your exposure by accident.

What these numbers cannot tell you

Some plain limits, because I would rather you heard them from me.

Record lengths differ, so you are not comparing equal evidence. Eight months against seventeen is not a fair fight in either direction: the shorter record has had fewer chances to hit trouble, the longer one has had more chances to recover from it.

Account counts are small for some entries. Two accounts is a data point, not a distribution.

None of this predicts anything. Every figure describes what happened, in the past, on specific accounts, under specific settings, ending 25 August 2026. Regulators across the EU found that 74% to 89% of retail accounts lose money on leveraged products (ESMA product intervention measures). Automation changes how you execute. It does not exempt you from that distribution.

And your broker will move these numbers. Spread and execution quality matter enormously for anything holding positions measured in minutes, which is why we publish a separate spread explainer rather than burying it here.

Frequently asked questions

What is the closest alternative to Forex Fury?

Prop Firm Robots App is the closest structural match in our tracked dataset, because like Forex Fury it never adds to losing positions. It is built differently, though: Fury is a single GBPUSD intraday system that closes out within hours, while Prop Firm Robots App is a portfolio running a library of separate strategies, each holding one trade, across several markets over one to five days. Its 6% max floating loss across eleven months keeps risk bounded, but its pooled profit factor is 0.93, so treat the flattering median of 1.09 as only half the picture.

Can you run more than one of these in the same account?

Yes, and it is often smarter than replacing one with another. The practical constraint is combined exposure: two systems each risking a modest amount can produce an uncomfortable floating loss if they hit trouble simultaneously. Pairing instruments that behave differently, gold against a currency pair for instance, reduces the odds of that overlap. Size each one down from what you would run alone, and watch total account exposure rather than each equity curve separately.

Do these need dedicated hosting to run properly?

Anything holding positions for minutes does, effectively. A dropped connection while a position is open is an avoidable loss, and home internet plus a sleeping laptop is not a serious setup. Multi-day systems are more forgiving but still benefit from continuous uptime, since entries can trigger at any hour. Latency to your broker’s server matters more than raw specifications for fast-executing systems. Our hosting comparison covers what genuinely affects fills.

Can you test any of these before paying?

Free trial availability changes by vendor and by promotion, so check the current terms on each product page rather than trusting a figure written months ago. What I would suggest regardless: run any purchase on a demo account with your own broker for several weeks before committing capital. Demo will not replicate execution perfectly, but it does reveal whether the product behaves as described, and it costs nothing but patience.

Why do your figures differ from the vendor’s published results?

Different accounts, different settings, different brokers and different time windows. Vendor records typically run higher risk settings than we use, and they select which account to publish. Ours come from accounts we fund, reported whether the result flatters the product or not, including the negative ones in the ranges above. Neither set is wrong exactly; they are measuring different things. Compare the shape of the equity curves rather than the headline percentages.

What does “adds to losing trades” actually mean in practice?

It means the software opens additional positions in the same direction while the original is underwater, either at the same size or larger, aiming to lower the average entry so a smaller reversal returns the basket to profit. Grid systems do this at fixed intervals; martingale versions increase size each step. The mechanism produces high win rates and rare, severe losses. None of the four systems above uses it.

How often do you update these numbers?

Continuously in the tracker, periodically in the written analysis. The embedded feeds on this page pull current account data, so they will show months that happened after publication, including bad ones. The written figures are stamped 25 August 2026 and get revisited on a schedule. If the feed and the text ever disagree, trust the feed, and please tell us so we can correct the copy.

Which of these suits a smaller starting balance?

Position sizing constrains this more than the product does. Systems holding for days need margin headroom to sit through a floating loss, so Forex Trend Hunter’s 48% max floating loss demands a balance that can absorb it without a margin call. Faster, tighter approaches suit smaller accounts better because the exposure closes quickly. Whatever you pick, size from the worst floating loss recorded rather than the average, and assume the next one runs deeper.

Further reading

• How to spot forex EA scams, the checks we run before anything reaches a funded account
• Best scalping EAs, the wider category Fury belongs to
• Why backtest results differ from live, the gap that catches most buyers
• Best expert advisor for small accounts, when capital is the binding constraint
• Best forex VPS for MetaTrader, hosting that actually affects fills
• Prop firm vs live account, which route suits which situation

Sources

• Bank for International Settlements, Triennial Central Bank Survey: OTC foreign exchange turnover in April 2025: bis.org
• European Securities and Markets Authority, Product intervention measures on CFDs and binary options: esma.europa.eu
• U.S. Securities and Exchange Commission, Office of Investor Education, Asset Allocation and Diversification: investor.gov
• Algo Trading Space internal account tracking: 527 live and funded accounts, 122,837 closed trades, figures current as of 6 August 2026

Risk disclaimer

Trading foreign exchange and commodities carries substantial risk and is not suitable for everyone. Past results, whether from our accounts or a vendor’s published record, do not indicate future outcomes. Every figure on this page describes specific accounts over specific periods under specific settings, and your results will differ. Automated software can and does lose money. Never commit capital you cannot afford to lose, and consider seeking independent financial advice suited to your circumstances. Nothing here is a recommendation to buy any product or open any account.