Dunia Maya, South East, and NET Z — Expert Advisors for Long-Term Investment

Dunia Maya, South East (SEA), and NET Z are three Expert Advisors built around the same core idea: identifying potential trend reversals to buy near price lows and sell near price highs. They do not rely on conventional technical indicators. Instead, they use historical price data and a series of virtual trades and orders to estimate extreme price levels.

To handle false reversals, the EAs combine pending orders, grid averaging, mild martingale position sizing, expanding grid distances, partial closure of losing positions, and profit trailing. The author presents them as long-term trading systems designed to operate with small lots and manageable drawdown. Nevertheless, they carry significant risk because they use grid and martingale techniques and, according to the article, generally do not employ a conventional hard stop-loss in their primary strategy.

## Core concept and operation

The three EAs follow this general process:

1. Look for extreme lows at which to open buy positions and extreme highs at which to open sell positions.

2. Use virtual trades to estimate the upper and lower boundaries of a potential trend reversal.

3. Use virtual pending orders to avoid entering either too early or too late.

4. If an existing position moves into a loss, open additional positions through a grid-averaging system.

5. Manage exposure with mild martingale sizing, expanding grid distances, and partial closure of the most unprofitable positions.

6. Apply trailing logic to protect or maximize profit once price moves in the intended direction.

The EAs open trades only when a new bar forms. According to the author, this helps the distance to the next position expand automatically during a sudden price spike.

## Differences among the three EAs

All three EAs share the same basic concept but differ in how their entry points are determined:

- **South East (SEA):** primarily uses virtual pending stops.

- **Dunia Maya and NET Z:** use a combination of virtual pending stops and virtual pending limits, with different placement methods for each EA.

- Visually, pending limits can be seen in NET Z and Dunia Maya, but not in SEA.

The article contains apparently conflicting statements about whether SEA uses virtual pending limits. This technical detail should therefore be confirmed against the documentation for the latest EA version.

## Five virtual techniques

The author describes five virtual mechanisms:

- **Virtual trades:** estimate the upper and lower boundaries of a trend reversal.

- **Virtual pending orders:** determine the timing and location of an entry before a real pending order is sent to the broker's server.

- **Virtual grid:** determines the next position when an earlier position is losing.

- **Virtual stop-loss and take-profit:** levels are managed by the client terminal rather than displayed as orders on the broker's server.

- **Virtual partial close:** calculates the combined profit and loss of open positions and partially closes losing positions to reduce margin usage.

## Risk-control features

### Smart Multi Symbol Control (SMSC)

SMSC limits the number of symbols that are simultaneously considered at risk. A symbol with a floating loss—or one that has not yet reached trailing profit—is counted as a symbol at risk. Once a symbol is in trailing profit, it is no longer counted, allowing the EA to pursue an opportunity on another symbol.

The most conservative setting proposed in the article is `Maximum allowed number of fx pairs on risk = 1`. All relevant charts may remain open, but the EA handles only one currency pair at risk at a time. The intended benefits are a lower starting-capital requirement and more manageable drawdown.

### Maximum drawdown limit

The maximum-drawdown feature stops the EA from opening new positions once the specified drawdown threshold has been reached. It limits further exposure but does not eliminate losses on positions that are already open.

### Lot management

The available position-sizing options include:

- fixed lots;

- several martingale patterns, ranging from gradual increases to aggressive doubling;

- AutoLot sizing based on account balance;

- a maximum lot size per trade; and

- a maximum number of open positions.

More aggressive martingale and AutoLot settings cause both market exposure and margin requirements to increase more quickly.

### Dynamic grid

The initial distance between positions is specified in pips. This distance can be expanded by a coefficient after the total lot size, most recent lot, or number of trades reaches a defined threshold. The grid-trend mode opens the next grid position only when the minimum step-change threshold has been reached and a trend signal is present.

The article provides the following example:

| Number of trades | Grid distance |

|---:|---:|

| 1–4 | 20 pips |

| 5–6 | 100 pips |

| 7–9 | More than 100 pips |

### Stop Out Monitor

Because the primary strategy is described as operating without a stop-loss, the author strongly recommends using the Stop Out Monitor. This tool estimates how many pips each pair can move before the account reaches stop-out. The author suggests setting an alert at a minimum distance of 300 pips and enabling notifications through a MetaQuotes ID.

When conditions approach a critical level, the article mentions adding funds, cutting losses, or applying a stop-loss as possible responses. Adding funds merely postpones margin pressure and exposes more capital; it does not guarantee that the positions will recover.

## Profit trailing

The example configuration starts trailing 25 pips from the average entry price and uses a five-pip trailing size. If price corrections frequently cause positions to close at a small loss, the author suggests reducing the trailing size to one pip so that the exit level remains closer to the average price. The author interprets a small negative close as an indication that the movement was only a correction rather than a strong trend reversal.

## Backtesting and its limitations

The article emphasizes that backtest results will not be identical to live-trading results because:

- virtual data begins accumulating only after the EA is attached to a chart;

- the limit on at-risk symbols can cause pending orders to be canceled;

- news filters and adaptive mechanisms change the sequence of trades; and

- future market conditions cannot be represented perfectly by fixed historical data.

Backtesting is therefore more suitable for checking whether the algorithm operates as designed and for adjusting broker-specific parameters than for guaranteeing profit or protection from a margin call.

The author recommends testing with 7–12 years of data and comparing the M15, M30, and H1 timeframes. For MT4, the *Open Prices Only* model may be used, while MT5 testing should use the one-minute OHLC model. The article also states that the MT4 version of SEA cannot be backtested properly, so its MT5 version should be used for testing.

## Deployment on demo and real accounts

For beginners, the author recommends:

1. Running the EA on a demo account for at least three months.

2. Learning its parameters and simulating how difficult conditions would be handled.

3. Moving to a real account only after understanding the EA's behavior.

4. Adding charts gradually—for example, five charts per month—to make drawdown easier to monitor.

Each symbol requires a matching set file and timeframe; these EAs are not single-chart systems that manage every symbol from one chart. Users must also ensure that Auto Trading is enabled, verify that every EA reloads correctly after a terminal or VPS restart, inspect the Experts and Journal tabs regularly, and use the latest EA version and set files.

When moving the terminal to a new VPS, the global variables should also be copied because they contain internal state used by the EA.

## The author's money-management approach

The approach described by the author includes:

- starting with the smallest practical balance and adding funds gradually if needed;

- limiting active risk to one FX pair at a time;

- using small lots and mild martingale sizing;

- monitoring account health with the Stop Out Monitor; and

- withdrawing profits periodically instead of continually increasing the lot size on the first account.

The balance and profit-target figures in the article are examples from the author's experience or personal plan, not universal recommendations. Actual capital requirements depend heavily on broker specifications, leverage, traded symbols, lot sizes, spreads, and market conditions.

## Key risks

- **Grid and averaging** can accumulate many positions when a sustained trend continues against the EA.

- **Martingale sizing** increases exposure while losses are developing; lot-doubling variants are particularly aggressive.

- **The absence of a hard stop-loss** may allow losses to grow until the account reaches a margin call or stop-out.

- **Virtual SL and TP levels** depend on the terminal, VPS, and EA continuing to operate correctly.

- **Adding funds during critical conditions** puts more capital at risk without changing the direction of the market.

- **Backtests and historical track records** do not guarantee future performance.

- **Broker differences**, including spreads, stop levels, freeze levels, and execution speed, can materially affect results.

## Conclusion

The article is essentially a usage and risk-management manual for three indicator-free, trend-reversal EAs. Their main design strengths are the search for extreme price levels, virtual order handling, limits on the number of symbols at risk, and expanding grid distances. Their principal weakness is their dependence on grid, averaging, martingale sizing, and continuous margin monitoring—particularly when they are operated without a hard stop-loss.

Users should not judge these EAs solely by profit claims, live signals, or backtests. The priorities should be understanding the worst-case scenario, testing the latest EA version and set files on a demo account, limiting lot size and the number of symbols at risk, ensuring that the terminal remains operational, and defining an acceptable loss limit before committing real funds.