Pac Man Review EA for MT4: A Critical Analysis of the AUDCAD Backtest

🔍 From subscriber‼️

🤖 EA name: Pac Man
📦 Version: 4.59
💻 Platform: MT4 (1470)
🛠Vendor/Source: –
📈 Strategy: Order grid
⏰ Timeframe: m15
🌍 Currency pairs: AUDCAD, AUDNZD, NZDCAD
🌓 Trading time: Around the clock
⚠️ Attention: Recommended best VPS, BROker
📊 Monitoring found: –

⏳ Test period: 2020.01.01 – 2026.04.19
🏛 Tick Data Provider: Darwinex (TDSv2)
🧭 GMT: +2; DST: US
Real spread: ✅
Slippage: ❌

📌 All EAs tests EA ForexLab

In order to download an adviser with tests, go to our telegram channel 👇

The retail market is full 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.

Pac Man EA Review: Read This Before You Trade

This Pac Man EA review is different from the ones you see on seller sites. Those show a clean rising chart and a buy button. This one shows the full picture.

We tested the Pac Man EA on two currency pairs. We read every trade in both backtest files. We checked every setting. And We found something the marketing never mentions.

On one pair, AUDCAD, the robot looked great. It grew a $1,000 account to over $2,000 across six years. On the second pair, AUDNZD, the same robot crashed a $1,000 account down to just $88. That is a 91% loss.

Same robot. Same settings. Two completely different results. Let me explain why this happened, and what it means for your money.

What Is the Pac Man EA?

The Pac Man EA is an automated trading robot for MetaTrader 4. The version tested here is V4.59. It trades on the M15 (15-minute) timeframe. Its trade comment is “Waka,” whatever that means.

The robot is built to trade currency pairs like AUDCAD, AUDNZD, and NZDCAD. These are known as “mean-reversion” pairs. They tend to move in ranges and return to an average price. Many grid robots target these pairs for that reason.

The marketing presents Pac Man as a smart, multi-pair system. It promises steady growth and built-in protection features. But the real story lives in the trade data, not the sales page. So let me show you the data.

The backtest used Tick Data Suite with real tick history from the Darwinex broker. It ran on an IC Markets terminal. The modeling quality was 99.90%. This is a strong, honest testing method. The problem is not the test. The problem is what the robot actually does.

Pac Man EA Review: The Two-Pair Tale

The clearest way to understand this robot is to compare its two tests side by side.

Look at the drawdown numbers. On AUDCAD, the worst drop was 7.55%. That is manageable. On AUDNZD, the worst drop was 93.90%. That is a near-total wipeout.

The win rates are almost the same. Both pairs won about 75% of trades. So how can one make money and the other destroy the account? The answer is the grid. And that is the heart of this Pac Man EA review.

The Hidden Engine: A Martingale Grid

Here is the most important thing to understand. The Pac Man EA is a grid robot that uses martingale-style position sizing. The marketing does not say this clearly. The trade data proves it beyond doubt.

Let me explain what that means in simple terms.

A grid robot opens more trades when the price moves against it. The idea is to lower the average entry price. When the price finally turns around, all the trades close in profit together.

The “martingale” part is about trade size. With each new grid level, the robot opens a bigger position. I traced the exact lot sizes in the AUDNZD test. Here is the sequence the robot used:

0.01 → 0.02 → 0.04 → 0.08 → 0.12 → 0.20 → 0.32 → 0.52

Each step is about 1.5 to 2 times larger than the last. By the eighth level, the robot was trading 0.52 lots. That is 52 times the starting size. The settings confirm this with a TradeMultiplier value of 1.3 and higher.

This design has a clear pattern. It wins small and often. Then, once in a while, it loses big. Very big. The AUDNZD test is what “big” looks like.

How AUDNZD Died: A Step-by-Step Breakdown

The AUDNZD account did not lose money slowly. It collapsed in a single grid event. Here is what the data shows.

In April 2024, the price moved hard against the robot’s positions. The robot did what grid robots do. It kept opening larger and larger trades to defend its losing basket.

At the peak, the robot had 11 trades open at the same time. The largest was 0.52 lots, on an account that started with just $1,000. The combined loss grew faster than the account could handle.

The single worst trade lost $389.69. To put that in context, the average winning trade on this pair made only a few dollars. One bad trade erased hundreds of good ones.

Then something telling happened. The account balance fell to $88.39. And the robot simply stopped trading. The backtest was supposed to run until April 2026. But AUDNZD made its last trade in April 2024, with nine positions still stuck open. The account was too damaged to continue.

In plain words: the account blew up two years before the test even ended. The smooth equity curve you see in the marketing is the AUDCAD chart. The AUDNZD chart is the one that drops off a cliff.

Why a 77% Win Rate Fooled So Many People

A 77% win rate sounds excellent. Most traders see that number and feel safe. But with a grid martingale, the win rate hides the real risk.

Think about it this way. The robot wins most trades by a small amount. The average AUDCAD win was just $1.47. But when it loses, the loss can be huge, like the $389.69 hit on AUDNZD.

So the math is dangerous. You collect many small wins. Then one grid failure takes back months of profit in a single day. The high win rate does not protect you. It actually masks the danger until it is too late.

Here is the key lesson. A grid robot’s win rate tells you almost nothing about its safety. What matters is the size of the rare loss. And on AUDNZD, that loss was the entire account.

The Trade Timing Confirms the Grid

I looked at how long the robot holds its trades. The Trades by Time chart tells the story clearly.

The biggest cluster of trades closes in the 4-hour window. The next big clusters are at 8 hours, 16 hours, and even 4 days. Some trades stay open for over a week.

This is normal for a grid system. The robot holds losing trades and waits for a reversal. It does not cut losses quickly. It hopes the price comes back. Most of the time, on range-bound pairs, it does. But not always. And “not always” is what kills the account.

A robot that cuts losses fast would never hold a basket for days while it grows. The long hold times are a direct sign of the grid recovery logic at work.

The Win/Loss by Hour Pattern

The Wins/Losses by Hour chart shows another useful detail. The robot trades most actively in the afternoon hours, around 15:00 to 18:00 server time. It also trades through the day with steady activity.

Green bars (wins) clearly outnumber red bars (losses) in most hours. This matches the high win rate. But again, the chart only counts the number of wins and losses. It does not show their size.

A hundred small green wins can be wiped out by a few large red losses during a grid failure. The hourly chart looks healthy. The account result on AUDNZD was not.

Pac Man EA Review: The Settings That Raise Red Flags

The backtest report shows the robot’s full settings. A few of them deserve a close look, because they reveal the true risk level.

First, MaximumOpenLots=100000. This sets a huge ceiling on total open volume. In practice, it means the grid can grow almost without limit. There is no tight cap to stop a runaway basket.

Second, MaximumDrawdown=100. This allows the robot to draw down the entire account before it stops. On AUDNZD, it nearly did exactly that.

Third, the robot is designed to run on multiple pairs at once. The settings list “AUDNZD, AUDCAD, NZDCAD” as a portfolio. This is important. It means AUDNZD is not a random bad choice. It is one of the robot’s own recommended pairs. The disaster happened on a pair the system was built to trade.

Fourth, the news filter and stock market crash filter were available but set in ways that offer limited protection in the test. A grid system needs strong protection. These settings did not prevent the AUDNZD collapse.

A Closer Look at the AUDCAD “Success”

It is fair to give the winning pair a proper review. So let me break down the AUDCAD result year by year. This is the test that the marketing relies on.

On the surface, this looks very consistent. The robot made money every single year. The win rate stayed near 75% to 80% throughout. This is a genuinely steady record on this one pair.

But notice the trend in the later years. The yearly profit was falling. From a peak of $196.69 in 2022, it dropped to $145 in 2024 and $136 in 2025. The number of trades also fell. This could mean the edge is slowly fading, or that recent market conditions suit the robot less well.

Even so, AUDCAD is the good news story. The robot handled this pair without a deep grid failure. The key point is that this success and the AUDNZD disaster come from the exact same code. The difference was the market, not the robot.

The Survivorship Trap

Here is a mistake many traders make. They look at the AUDCAD result, see steady profit, and assume the robot is safe. This is called survivorship bias.

The AUDCAD account survived because its grids stayed shallow. The deepest it went was 0.12 lots, only a few levels in. The price always came back before the grid grew dangerous.

The AUDNZD account did not get that luck. Its grid reached 0.52 lots and kept losing. The price did not come back in time. The account died.

Same robot. Same engine. The only difference was market behavior and luck. If you only see the winning pair, you believe the robot is safe. But the losing pair shows the true risk that was there all along. Both outcomes come from the same design.

Why Grid Robots Target These Pairs

It helps to understand why the Pac Man EA trades AUDCAD, AUDNZD, and NZDCAD. These are not random choices. They are some of the most range-bound pairs in the entire forex market.

The Australian, New Zealand, and Canadian dollars are all linked. Australia and New Zealand are close trading partners with similar economies. Canada and Australia are both commodity-driven nations. As a result, these pairs often move sideways in tight ranges rather than trending for long periods.

Grid robots love this behavior. When a pair stays in a range, every move against the grid tends to reverse. The basket recovers, and the robot books a profit. This is why grid systems can show years of smooth gains on these pairs.

But there is a catch, and AUDNZD showed it perfectly. Even the most range-bound pair can break out. When AUDNZD made a strong directional move in April 2024, the range-trading logic failed. The grid kept adding to a losing position that did not come back in time. The very feature that makes these pairs attractive to grids is also the trap. Ranges work, until they suddenly do not.

This is the core weakness of every grid robot. It assumes the past range behavior will continue. When the market changes character, the assumption breaks, and the losses arrive all at once.

The Spread and Cost Reality

The backtest ran on Darwinex , a broker with very tight spreads. On crosses like AUDCAD and AUDNZD, that matters a great deal.

These pairs naturally have wider spreads than majors like EURUSD. On an average retail broker, the spread on AUDNZD can be two to four times wider than on Darwinex . Each grid trade pays that spread on entry.

Now remember the grid. When the robot opens 11 trades in one basket, it pays the spread 11 times. The wider your broker’s spread, the more each grid event costs you. On a normal broker, the small wins shrink and the deep grids cost even more. The thin edge the robot showed in testing could disappear.

This is why a grid backtest on ultra-tight spreads is a best-case picture. Your real results will likely be worse, not better.

The Real Cost of a Grid Blowup

Let me make the risk concrete with simple numbers.

On AUDNZD, the account fell from $1,000 to $88. To recover from an 88% loss, you do not need an 88% gain. You need a gain of over 700% just to get back to where you started. That is almost impossible for most traders.

This is the cruel math of large drawdowns. Small losses are easy to recover. Huge losses are not. A grid robot that wins for years can still leave you far worse off than when you began, if a single basket fails badly.

And remember, this is a backtest in perfect conditions. Live trading adds wider spreads, slippage, and requotes. A grid that struggled in a clean test will struggle more in the real world.

Pac Man EA Review: Your Pre-Trade Checklist

If you are still thinking about this robot, work through this checklist first. Do it before you risk any money.

First, accept that this is a grid martingale. No matter what the marketing says, the data shows growing lot sizes on losing baskets. Price it as a high-risk system, because it is one.

Second, study the AUDNZD result, not just AUDCAD. The winning pair shows the good days. The losing pair shows what happens on a bad day. Judge the robot by its worst result, not its best.

Third, understand the win rate trap. A 77% win rate does not mean safety. The rare large loss is what matters. One grid failure can erase years of small wins.

Fourth, never use the default risk on a small account. The settings allow the grid to grow toward 100% drawdown. On a $1,000 account, that means losing nearly everything. Use the smallest possible size if you test it at all.

Fifth, demand a long, verified live track record. A backtest is not enough for a grid system. You need to see real results across many years and many market shocks. Ask how the robot behaved in real grid failures.

Sixth, test on a demo for months before going live. Watch how deep the grids go. Watch how long trades stay open. If you see a basket growing fast, you are seeing the AUDNZD pattern begin.

Final Verdict: A Grid Robot With a Hidden Cliff

Let me sum up this Pac Man EA review in plain terms.

The Pac Man EA is a grid trading robot that uses martingale position sizing. On the right pair, in the right conditions, it can produce a long run of steady profit. The AUDCAD test proves it can win for years. That is real, and I will not deny it.

But the AUDNZD test proves something more important. The same robot, with the same settings, crashed a $1,000 account down to $88. It blew up two years before the test ended. Nine trades were still stuck open when it died. And AUDNZD was one of the robot’s own recommended pairs.

This is the nature of grid martingale systems. They look smooth and safe right up until the moment they are not. The smooth equity curve is the trap. The cliff is hidden behind it.

For beginner traders: a rising chart and a high win rate are not proof of safety. The real risk is the rare big loss. With this robot, that loss can be your whole account.

For intermediate traders: the two-pair comparison is your key lesson. Always look for the system’s worst result, not its best. Survivorship bias makes grids look safer than they are.

For experienced traders: you already know the signs. Growing lot sizes, 100% drawdown allowance, no real lot cap, and trades held for days. This is a martingale grid. Without strict risk limits and years of verified live data through real shocks, the AUDCAD profit is not proof of an edge. It is proof of good luck on one pair.

Grid robots can win for a long time. But the question is never whether they will lose. The question is when, and how much. On AUDNZD, the answer was almost everything.

Trade with your eyes open.

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

In order to download an adviser with tests, go to our telegram channel 👇