Strategy comparison
Which EA Strategy Wins in the Long Term? Scalping, Breakout, Hedging, Arbitrage, Grid and Trend Compared
By Benjamin Lee · Updated · 14 min read
Open any EA marketplace and the product names blur together. Underneath, nearly all of them are one of five or six strategy types, and each type has its own way of making money and its own way of losing it. That second part is what sales pages leave out. This guide compares the types by how they fail, shows the arithmetic behind the worst offenders, and ends with a scorecard you can run on any listing, ours included.
Key takeaways
- Judge an EA by how it loses. The failure mode sets the real risk, and sales pages rarely describe it.
- Martingale and uncapped grids can show a smooth curve right up to an account wipe.
- Trend and breakout systems lose often in small amounts and win rarely in large ones. That feels worse and is statistically safer.
- Scalpers depend on spread and execution more than any other type, so the broker is part of the strategy.
- Check equity drawdown, hard exposure caps and the test conditions before you read anything else.
- No type wins in every market. The ones that tend to last keep risk bounded per trade, clear their costs with room to spare, and do not depend on one broker's quirks.
What this comparison covers, and what it does not
This is a comparison of strategy types, not of individual products. Marketplaces such as MQL5 hold listings whose descriptions, screenshots and statistics belong to their authors. Bulk-copying them would be unfair to those authors, and a stranger's screenshot is not a verified result anyway. Numbers change with the broker, the settings and the period.
What does transfer from one listing to the next is the mechanics. A grid behaves like a grid whoever wrote it. So the sections below explain the mechanics, show where each type breaks, and tell you what to look for on a real listing.
| Type | How it earns | Typical win rate | How it usually fails |
|---|---|---|---|
| Trend following | Rides sustained moves with wide stops and trailing exits | Low to moderate | Whipsaws in ranging markets and long flat stretches |
| Breakout | Enters when price breaks a session or range extreme | Low to moderate | False breaks and slippage on news |
| Scalper | Collects many small moves | High | Spread, latency and broker conditions erase the edge |
| Grid | Opens orders at fixed spacing and closes the basket in profit | High | A strong trend piles up floating losses |
| Martingale and recovery | Raises size after losses to win back quickly | Very high | A long losing streak outgrows the margin |
| AI or adaptive | Changes filters or sizing from recent data | Varies | Overfitting that nobody can inspect |
| Hedging | Opens an opposite position to freeze a loss or offset exposure | High | Locks in costs, ties up margin and postpones the loss rather than removing it |
| Arbitrage | Exploits a price gap between feeds, brokers or related pairs | High | Gaps close, brokers reject or void trades, latency decides the winner |
| Mean reversion and news | Fades stretched moves or trades scheduled releases | Moderate | Trends that keep going, and spread or slippage at the release |
Equity curve fingerprints
Each type leaves a recognisable shape on the equity chart. Martingale climbs in a near-straight line and then falls off a cliff. A grid climbs, dips deeply during a trend, and recovers if the account survives. Trend systems move in uneven steps with flat patches. Scalpers climb steadily with a lower slope. Recognising these shapes is the fastest way to read a screenshot critically.
- Martingale
- Grid
- Trend
- Scalper
Trend-following EAs: many small losses, a few large wins
A trend system waits for price to show direction, using a moving-average slope, a channel break or a momentum filter. It then trails a stop behind the move. Most entries fail and cost a little. The few that catch a long move pay for all of them. A strategy that is right 35% of the time can still be profitable when the average winner is three times the average loser.
The weakness is psychological before it is statistical. Flat or losing stretches can last months, and traders often switch off a sound system near the bottom of one. The technical trap is over-tuning the lookback period. If a 50-period setting works and 45 and 55 both fail, the result is noise. Ask for a parameter sensitivity table, not just the best run.
Breakout EAs: defined risk, fragile timing
Breakout systems mark a range, such as the Asian session high and low or the previous day's extremes, and trade the break around the London or New York open. The logic is easy to see on a chart and the stop has a natural home on the other side of the range. Gold and indices suit it because opening moves are large.
Two details decide whether it survives. First, session times: the range is defined in broker server time, so a one-hour offset or a daylight-saving mismatch changes every trade. Second, slippage. Stop entries fill late in fast markets, so a backtest without execution delay overstates the result. A breakout listing that never mentions server time or delay deserves a question.
Scalping EAs: the broker is part of the strategy
Scalpers take a few pips at a time, holding for seconds or minutes. They can be profitable, but they are the type most tied to costs. Take a 3-pip target and a 0.4-pip spread: the spread already takes about 13% of the move. If the spread widens to 0.8 pips at a busy moment, it takes about 27%, and the edge that looked healthy in the backtest may disappear.
- Test on real ticks. Candle data cannot say whether the target or the stop came first. See the tick data guide.
- Test with delay. A 100 ms delay changes fills on every fast trade.
- Read the broker's rules. Some brokers add execution delays or restrict very short trades, and some prop firms ban high-frequency styles.
- Expect decay. Edges at this timescale are crowded and tend to shrink.
Grid EAs: comfortable until the market trends
A grid places orders at fixed spacing above and below price and closes the basket when the total reaches a target. In a range it collects many small profits. In a strong trend it keeps adding orders against the move and the floating loss grows with every step. The curve climbs gently and then drops hard.
Balance curves flatter grids, because floating losses do not appear until positions close. Look at the equity curve and the maximum equity drawdown. Then look for three hard limits in the inputs: a maximum number of orders, a maximum total lot size, and an equity stop that closes the basket. If any of them is missing, the downside is open-ended. Many grids also need a hedging account, and swap costs build up on baskets held for days.
Martingale and recovery EAs: the arithmetic of a blow-up
Martingale raises the size after each loss so that one eventual winner recovers everything and leaves a profit. It produces a very high win rate and a smooth curve, which is why it fills so many screenshots. The cost is hidden in the size sequence.
| Consecutive losses | Next lot size | Cumulative lots including the next trade |
|---|---|---|
| 0 | 0.01 | 0.01 |
| 2 | 0.04 | 0.07 |
| 4 | 0.16 | 0.31 |
| 6 | 0.64 | 1.27 |
| 7 | 1.28 | 2.55 |
Even if each step had a 50% chance of winning, seven losses in a row happen about once in 128 sequences (0.5 to the seventh power, roughly 0.8%). Over a few thousand sequences that is not a risk but a schedule. When it arrives, the position is 128 times the starting size on an account that was sized for 0.01. The broker's margin and maximum-lot rules also cap the sequence, so the promise of eventually recovering breaks first at the limit that matters most.
AI and adaptive EAs: ask what actually adapts
The label covers everything from a genuine adaptive filter to a standard indicator system with a new name. The useful questions are specific. What changes: the entry rules, the filters or only the lot size? How often does it change? What happens if it adapts wrongly? Learned models are especially prone to overfitting, so out-of-sample and live forward results matter more here than for a simple trend system.
Hedging EAs: a frozen loss is still a loss
A hedging EA opens a position in the opposite direction of an existing one, or on a correlated pair, so that the net exposure shrinks. The appeal is obvious. The floating loss stops growing, and the equity curve looks calm. Nothing has been fixed, though. The two positions still pay spread, swap and margin, and eventually one of them has to be closed. Close the losing leg and the loss is realised. Close the winning leg and the remaining position is exposed again, now at a worse price.
- Account type matters. Opening opposite positions on one symbol needs a hedging account on MT5. On netting accounts the positions simply merge. Some regulated markets restrict hedging outright, so check your broker's rules.
- Costs double. Two open legs pay spread on entry and swap while both stay open, and the swap on the two legs rarely offsets.
- Look for the exit logic. A serious hedging system states when and how the hedge is lifted. If the manual only says the hedge protects the account, expect the problem to return later and larger.
- Correlated-pair hedges drift. Two pairs that moved together for a year can decouple during a news shock, and the hedge becomes a second bet.
Arbitrage EAs: real in theory, fragile for retail
Arbitrage means profiting from a price difference with little directional risk. In institutional markets it is a latency and infrastructure business. At retail level the products sold under this label usually fall into three groups, and each has a catch.
| Claim | What it relies on | The catch |
|---|---|---|
| Latency arbitrage | A fast feed shows a price before a slower broker updates | Brokers watch for it, may reject orders, void profits or close the account. Many prop firms prohibit it |
| Triangular arbitrage | Three related pairs briefly disagree | Spreads on three legs usually exceed the gap, and the legs fill at different times |
| Statistical or pairs arbitrage | Two related instruments revert to a stable spread | It is a mean-reversion bet. The relationship can break and the spread can keep widening |
Be especially careful with backtests of arbitrage systems. A tester replays one broker's prices, so it cannot show the stale-quote gap the strategy claims to exploit. A result that depends on that gap is a simulation artefact until it is proven on a live account, and a live record from a broker that tolerates the style may disappear when the broker changes its rules.
Mean reversion and news EAs
Mean reversion systems fade a stretched move, betting that price returns to an average. They win often and lose rarely, but the losses come when a move turns into a trend, so the risk profile resembles a grid unless every trade has a stop. News systems trade scheduled releases, either with pending orders on both sides or by fading the first spike. Their edge is real only if it survives the spread widening and slippage that arrive with the release. Backtests that use fixed spreads overstate them badly.
So which one wins in the long term?
There is no single winner, and anyone who names one is selling something. What can be said is which properties tend to separate strategies that last from those that do not. Longevity is mostly about not being ruined, and the strategies that fail fastest are the ones with unbounded or hidden risk.
Published research on trend following, such as AQR's study "A Century of Evidence on Trend-Following Investing", reports positive long-run results across many markets. That evidence describes diversified, professionally risk-managed portfolios across futures markets. It does not describe a single leveraged retail EA on one symbol, so use it as support for the logic and not as a forecast for any product. Regulated brokers also publish risk warnings stating that a majority of retail CFD accounts lose money, which is a reminder that survival is the hard part.
| Type | Risk is bounded per trade | Cost sensitivity | Depends on one broker | Main long-term question |
|---|---|---|---|---|
| Trend following | Yes, with a stop | Low to moderate | Low | Can you sit through long flat periods? |
| Breakout | Yes, with a stop | Moderate | Moderate | Do the session times and filters still fit? |
| Scalper | Yes, small stops | Very high | High | Does the edge survive your own spread and latency? |
| Capped grid | Basket-level only | Moderate | Low | Is the equity stop set before the trend arrives? |
| Uncapped grid or martingale | No | Low until it fails | Low | When, not whether, does the streak arrive? |
| Hedging | Only if the exit logic is explicit | High | Moderate | What closes the hedge, and at what price? |
| Arbitrage | Depends on the claim | Very high | Very high | Will the broker keep accepting the trades? |
| Mean reversion and news | Only with a stop | High | Moderate | Does it survive spread widening and a strong trend? |
Read the table by columns. The strategies at the top, with a bounded loss on every trade and modest cost sensitivity, are the ones that can be wrong many times and still be around in five years. The strategies at the bottom depend on conditions a trader does not control, such as the broker's tolerance, the latency of the connection or the absence of a long trend. Those can look excellent for years, and the period when they stop working is typically the one that ends the account.
A practical conclusion follows. If your goal is survival, favour bounded-risk systems, size them so the longest plausible losing streak is tolerable, and avoid putting all the capital in one type. Combining a trend system with a breakout system on different symbols spreads the dependence on a single market regime. Whichever you pick, verify it with the steps in our guide to reading a backtest report.
- Martingale, uncappedVery high
Exponential size growth. Failure is abrupt.
- Grid, uncappedHigh
Floating loss grows with every adverse step.
- Hedging without an exit planHigh
The loss is postponed, not removed, and costs double.
- ScalperMedium
Small stops, but the edge depends on spread and latency.
- Grid, capped with equity stopMedium
Bounded, though the drawdown can still be deep.
- BreakoutMedium
Defined stops. Whipsaw and slippage risk.
- Trend followingLower
Defined stops and positive skew, with long losing streaks.
A scorecard for any EA listing
Apply these questions to a listing on MQL5, a vendor site or our own shop. Each "no" is a reason to ask the seller for more evidence before buying.
| Question | Why it matters | Good sign |
|---|---|---|
| Does every trade have a stop, or does the basket have a hard stop? | Defines the worst-case loss | Documented in the manual |
| Is max drawdown shown on equity, not only balance? | Floating losses hide there | Equity drawdown reported and moderate |
| Was it tested on real ticks with realistic spread and delay? | Cost assumptions drive results | Test settings listed in full |
| How many years and how many trades? | Sample size | Several years and hundreds of trades |
| Is there out-of-sample or verified live data? | Separates skill from fitting | Forward results from an independent source |
| Does the seller explain the strategy type and its risks plainly? | Transparency | A clear manual with honest limits |
| Are updates, support and the refund policy stated? | Long-term viability | Version history and written terms |
| Does it fit my account type and broker? | Compatibility | Hedging or netting and symbol suffixes covered |
Matching a type to your situation
- You want understandable risk: trend or breakout systems with a stop on every trade.
- You trade a prop firm account: read the firm's rules first. Many restrict martingale, grids, news trading and high-frequency styles.
- You have tight spreads and a fast broker: a scalper may be viable, tested on real ticks.
- You want to trade ranges: a capped grid at small size with a hard equity stop.
- You are considering martingale: size so that the worst plausible streak fits inside an amount you can lose completely.
To browse by style, the shop groups EAs into categories such as Gold, Scalpers and Grid. Whichever you pick, run the scorecard, test it with the steps in the backtesting guide, then stage it as described in the installation guide.
Frequently asked questions
Which type of EA is the safest?
None is safe. Trend and breakout systems with a stop on every trade have bounded, visible risk per trade. Uncapped martingale and grid systems carry the largest hidden tail risk.
Are grid EAs always bad?
No. A grid with hard caps on orders and total lots, a basket stop and conservative sizing can be a reasonable tool in ranging markets. The danger is the uncapped version.
Why do martingale EAs look so good in screenshots?
The strategy turns many small risks into one rare, large one. A short or favourable test period may never contain the losing streak that wipes the account.
Do scalping EAs work on any broker?
Not reliably. Spread, commission, execution speed and broker policy strongly affect results, so test on real ticks with your own broker's conditions.
Can I rely on the statistics on a marketplace listing?
Treat them as a starting point. Check how they were produced and whether a live account verified them, then reproduce a test of your own on your broker's data.
Expert Advisors in these styles
Apply the checks above to any of these before you buy: read the manual, run your own backtest, and start on demo.
Keep reading
- BacktestingHow to Read an MT5 Backtest ReportLearn to read an MT5 Strategy Tester report line by line: drawdown, profit factor, Z-score, trade quality, robustness checks and the red flags that expose a weak EA.
- BacktestingHow to Backtest an EA in MT5 ProperlyLearn how to backtest an Expert Advisor in MT5 the right way: tester modes, spreads, delays, optimisation, walk-forward checks and the red flags to avoid.
- Data qualityHistorical Tick Data for MT5 BacktestsCompare sources of forex and gold tick data for MT5: broker real ticks, Dukascopy, Tickstory and paid vendors. Learn to clean, import and verify data quality.


