Swing Trading EA Comparison: TypeB vs Sprout EA Bank vs 1ENTRY vs Merit

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The retail market is full of gold robots that promise precision, stability, and “smart” automation, yet most reviews still make the same mistake: they compare headline profit without examining how that profit was produced. You can learn about our approach to testing expert advisors on tick history with a real spread on the relevant page – Our principles.

Swing trading EAs are often marketed as the “balanced” middle ground between scalping and long-term trend systems. In theory, that sounds attractive: fewer trades than scalpers, less overnight stress than heavy position systems, and enough room for price movement to absorb spread and execution costs. In practice, many so-called swing trading robots are not especially robust. They simply look smoother because they trade less frequently or because their equity curves hide weak trade economics behind a handful of large winners.

That is why this comparison matters.

This article reviews four EAs from the swing trading selection/category based primarily on the attached Tick Data Suite reports with real spread:

• THE AUDCAD typeB
• Sprout EA Bank
• 1ENTRY EA
• Merit EA

THE AUDCAD typeB is presented as an MT4 EA for AUDCAD on M5, tagged as swing trading; Sprout EA Bank is presented as an MT4 swing trading EA for EURUSD and USDJPY on M30, with EURJPY and GBPUSD noted as poor; 1ENTRY EA is presented as a multi-indicator MT4 swing trading system for M15/H1 across a wide FX basket; and Merit EA is presented as a USDJPY-focused MT4 system, tagged both as swing trading and scalper.

The objective here is not to praise whichever backtest has the largest net profit. The objective is narrower and more useful: which of these EAs shows the most credible balance between profitability, drawdown, trade structure, and robustness once the marketing layer is removed?

Why swing trading backtests are often misread

A swing trading EA can look credible for the wrong reasons.

Compared with a scalper, it may show fewer trades, larger average winners, and cleaner long-term curves. But none of that automatically proves robustness. A swing system can still be fragile if:

• profit factor is weak,
• losses are too large relative to wins,
• the edge exists only on one symbol,
• the system depends on one favorable historical regime,
• or the drawdown is too deep relative to the return produced.

For a serious swing trading EA comparison, the correct questions are not “Which one made the most money?” or “Which curve looks nicest?” The right questions are:

• How much drawdown was required to generate that result?
• Is the payoff structure healthy?
• Is the edge consistent across symbols?
• Does the system rely on a small number of outsized winning phases?
• Would the backtest still look attractive after a modest deterioration in live execution?

That framework matters especially here, because the four EAs in this sample are not equally diversified or equally repeatable.

First conclusion: this is not a perfectly standardized comparison

Before ranking the systems, one point must be made clear. These are not apples-to-apples tests.

The attached reports cover different:

• symbols,
• timeframes,
• test windows,
• trade counts,
• and likely internal logic structures.

For example:

• THE AUDCAD typeB is shown only on AUDCAD M5
• Sprout EA Bank is shown on USDJPY M30 and EURUSD M30
• 1ENTRY EA is shown on EURGBP M15, EURJPY M15, and USDCHF H1
• Merit EA is shown on USDJPY M5

That means raw net profit alone is a poor ranking tool. A system with a huge net profit on a single symbol over a long period is not automatically stronger than one with smaller profits across multiple symbols. The more useful question is:

Which EA shows the strongest internal statistical quality in the evidence we actually have?

Key comparison table

This table already reveals the main structure of the comparison:

• THE AUDCAD typeB has the most attractive headline profit on its main pair, but mediocre efficiency and heavy drawdown.
• Sprout EA Bank has a strong winner-to-loser ratio, but drawdown is too high and profit factor too weak.
• 1ENTRY EA is the most balanced from a risk perspective, but its edge is thin.
• Merit EA is the biggest nominal winner, but also one of the easiest to overestimate.

THE AUDCAD typeB review: strong historical profitability, but expensive in risk terms

THE AUDCAD typeB is the most concentrated system in the sample. Everything revolves around one pair: AUDCAD, on M5.

At first glance, the results are attractive. The shorter report, from 2018 to 2023, produces:

• Net Profit: 2055.36
• Profit Factor: 1.58
• Relative Drawdown: 20.65%
• Trades: 288

The longer report, from 2005 to 2023, produces:

• Net Profit: 8517.37
• Profit Factor: 1.46
• Relative Drawdown: 40.05%
• Trades: 1230

Those are not weak returns. But the quality of the returns is less impressive than the headline profit suggests.

What TypeB gets right

The first strength is obvious: it can generate meaningful long-term profit on its target symbol.

The second strength is that the payoff structure is not terrible compared with many retail EAs. Average winners are not tiny:

• 2018–2023: 28.98 average winner vs -37.24 average loser
• 2005–2023: 32.88 average winner vs -46.13 average loser

That ratio is not ideal, but it is materially better than many systems that rely on tiny gains and occasional large losses.

Where TypeB becomes weaker than it looks

The real problem is efficiency.

A profit factor of 1.46–1.58 is not strong enough to support the level of drawdown seen here. The long-run report is especially revealing. A system that needs 40.05% relative drawdown to produce its full-period result is not robust in the institutional sense. It may be tradable with conservative sizing, but it is not capital-efficient.

The second issue is symbol concentration. We only see AUDCAD. That makes it hard to determine whether the strategy has a transferable edge or is simply very well-matched to one pair’s historical behavior.

The third issue is that the shorter 2018–2023 report actually looks better than the longer 2005–2023 report in risk-adjusted terms. That is not fatal, but it hints that the system’s edge may be less stable across broader market history than the shorter curve suggests.

TypeB verdict

THE AUDCAD typeB is profitable, but its efficiency is mediocre relative to the risk consumed. It is not a bad system, yet it is clearly weaker than the raw net-profit number implies.

My conclusion: TypeB is a serious candidate for further testing, but not the strongest swing trading EA here on a risk-adjusted basis.

Sprout EA Bank review: good payoff asymmetry, poor drawdown discipline

Sprout EA Bank is more interesting than it first appears because its trade structure is quite different from TypeB.

The two attached reports are:

USDJPY M30

• Net Profit: 1748.54
• Profit Factor: 1.29
• Relative Drawdown: 43.48%
• Trades: 537
• Average winner: 38.22
• Average loser: -18.50

EURUSD M30

• Net Profit: 612.12
• Profit Factor: 1.15
• Relative Drawdown: 47.38%
• Trades: 327
• Average winner: 34.89
• Average loser: -20.20

What Sprout gets right

The first strength is payoff asymmetry. This is one of the few EAs in the sample where the average winner is significantly larger than the average loser. That is usually a healthy sign.

The second strength is conceptual consistency. The low win rate is not necessarily a problem here. In fact, it is a logical consequence of a system that seems willing to take many small losses in exchange for larger swings. That is often more believable than a robot with a 95% win rate.

Where Sprout fails the robustness test

The problem is drawdown.

A system with PF 1.29 and 43.48% drawdown on USDJPY is already a weak trade-off. A system with PF 1.15 and 47.38% drawdown on EURUSD is worse. That means the strategy is absorbing too much pain for too little edge.

This is a critical point. Sprout’s trade structure looks more professional than many retail EAs because it allows larger winners to dominate smaller losers. But the overall engine still does not extract enough efficiency from that structure.

In plain terms: the math is healthier than the outcome.

Sprout verdict

Sprout EA Bank is analytically interesting because it does not rely on the usual “high win rate, ugly loss” retail profile. But it still ranks weakly because the final efficiency is too poor relative to the drawdown.

My conclusion: Sprout is more respectable in structure than in results. It is not the worst-designed EA here, but it is too expensive in drawdown terms to rank highly.

1ENTRY EA review: thin edge, but the most balanced profile in the sample

1ENTRY EA is probably the least flashy system in this comparison. That is also exactly why it deserves attention.

The attached reports show:

EURGBP M15

• Net Profit: 257.21
• Profit Factor: 1.13
• Relative Drawdown: 9.23%
• Trades: 499

EURJPY M15

• Net Profit: 338.31
• Profit Factor: 1.24
• Relative Drawdown: 9.00%
• Trades: 826

USDCHF H1

• Net Profit: 454.16
• Profit Factor: 1.18
• Relative Drawdown: 25.98%
• Trades: 965

What 1ENTRY gets right

The first strength is breadth. Unlike TypeB and Merit, 1ENTRY is not built around one single lucky chart in the evidence provided. It shows positive results on three different pairs and more than one timeframe.

The second strength is drawdown discipline, especially on EURGBP and EURJPY. Both are near 9% relative drawdown, which is materially better than Sprout, TypeB’s long-run profile, and Merit.

The third strength is that the system does not look over-optimized. The numbers are ordinary. The curves are not magical. Paradoxically, that often makes a backtest more believable.

Where 1ENTRY falls short

The obvious weakness is the thin edge.

Profit factors of 1.13, 1.24, and 1.18 are simply not strong. They leave little margin for live slippage, spread deterioration, or regime shift.

The second issue is that trade economics are mixed rather than dominant. On EURGBP and EURJPY, the average winner is larger than the average loser, which is positive. On USDCHF, the average loser becomes larger than the average winner. So the internal structure is not uniformly strong.

The third issue is practical competitiveness. Even if 1ENTRY looks more balanced, it may still underperform live simply because the backtested edge is too modest.

1ENTRY verdict

1ENTRY EA is not the most profitable system in this comparison. It is not the most efficient either. But it may be the most balanced when viewed through the lens of capital preservation and transferability.

My conclusion: 1ENTRY looks like the least exaggerated and most stable research candidate in the sample, even though its edge is not strong enough to call it a clear winner without hesitation.

Merit EA review: huge nominal profit, but not the strongest quality

Merit EA is the system most likely to impress an inexperienced reader. The numbers are large:

• Net Profit: 10375.52
• Profit Factor: 1.28
• Relative Drawdown: 37.48%
• Trades: 6126
• Average winner: 11.34
• Average loser: -18.49

At first glance, this looks powerful. Over 6000 trades and a large absolute net return are not trivial. But this is exactly the type of report that can mislead.

What Merit gets right

The first strength is sample depth. More than 6000 trades means the result is not based on a tiny set of lucky outcomes.

The second strength is long-term persistence. The curve keeps rising over a meaningful historical window, which suggests the system is not purely random.

Where Merit becomes overrated

The first problem is profit factor. 1.28 is not strong enough for a system with 37.48% drawdown. That is the core issue.

The second problem is payoff structure. Average losses are substantially larger than average wins. So Merit still relies on winning often enough to survive its weaker loss profile.

The third problem is interpretive distortion from net profit. Because the curve climbs so far in dollar terms, many traders would mentally rank it first. That would be incorrect. High total profit does not automatically mean high-quality edge.

In quality terms, Merit is less efficient than it looks.

Merit verdict

Merit EA is productive, but not especially elegant. It has historical persistence and scale, but it consumes too much risk and does not show enough efficiency to justify first place.

My conclusion: Merit is the most visually persuasive system here, but not the strongest one once risk-adjusted analysis is applied.

Which swing trading EA is actually best?

The answer depends on what “best” means.

Best raw historical profitability: Merit EA

Merit wins in nominal output, but not in efficiency.

Best single-symbol historical case: THE AUDCAD typeB

TypeB is strong on its target pair, but too concentrated and too drawdown-heavy to dominate overall.

Best payoff structure: Sprout EA Bank

Sprout has the healthiest winner-to-loser asymmetry, but poor final efficiency ruins its ranking.

Best overall balance: 1ENTRY EA

1ENTRY is the least spectacular system, but also the most stable and least exaggerated across multiple symbols in the evidence provided.

Final ranking

Based on the attached TDS real-spread reports, my ranking is:

1. 1ENTRY EA

Not because it has the highest profit, but because it offers the most balanced combination of cross-pair evidence, tolerable drawdown on two of three reports, and the least exaggerated overall profile.

2. THE AUDCAD typeB

A strong specialist with meaningful long-term profitability, but weaker efficiency and too much dependence on one symbol.

3. Merit EA

Powerful historical output, but weaker risk-adjusted quality than the curve suggests.

4. Sprout EA Bank

The trade structure is respectable, but the drawdown-to-return trade-off is too poor.

Practical lesson from this comparison

The biggest lesson is that swing trading EAs are often overestimated for the wrong reasons.

A trader sees:

• a smoother curve than a scalper,
• fewer trades than a high-frequency system,
• larger average winners,
• and thinks the strategy must be safer.

That logic is incomplete.

The real test is whether the strategy converts drawdown into return efficiently. In this comparison:

• Merit converts lots of trading activity into large nominal profit, but not especially good efficiency.
• TypeB converts one-pair specialization into good returns, but at a heavy risk cost.
• Sprout has respectable trade logic but weak overall result quality.
• 1ENTRY has the weakest glamour, but the strongest claim to balanced robustness.

That is exactly why raw backtest profit should never be the main ranking metric.

Limitations of this comparison

This analysis is useful, but the boundaries matter.

First, the reports are not fully standardized by symbol, timeframe, or date range.

Second, real spread is included, but slippage is not visible in the provided screenshots. For shorter-horizon systems, that remains important.

Third, several EAs are represented by only one or two symbols, which limits transferability analysis.

Fourth, all historical backtests remain vulnerable to regime dependency. A system that behaved well in one decade may weaken materially in the next.

Final verdict

If the goal is to identify the most credible EA in this swing trading EA comparison, the answer is 1ENTRY EA.

Not because it has the highest backtest profit.
Not because it has the best-looking curve.
But because it appears to be the most balanced and least exaggerated across multiple symbols in the attached evidence.

THE AUDCAD typeB ranks second because it is clearly profitable and more efficient than Sprout or Merit would appear after drawdown adjustment, but its one-pair dependence limits confidence.

Merit EA ranks third. It has scale, persistence, and a persuasive curve, but too many traders would overrate it based on net profit alone.

Sprout EA Bank finishes fourth, not because it is conceptually bad, but because it consumes too much drawdown for too little edge.

The shortest honest summary is this:

1ENTRY looks most balanced. TypeB looks strongest as a specialist. Merit looks most overrated by headline profit. Sprout looks better in logic than in final efficiency.

That is the conclusion once the TDS metrics are allowed to matter more than the marketing narrative.

Even more advisors with test results are presented in our advisor database.

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