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Small Account Version UpdateThe version for small accounts has received a minor update. Instead of configuring the lot size directly, you now configure the amount of money
to be managed by the robot.For example, you might have only $100 in your account, but set the robot to base its lot calculation on just $5.
Smart Margin HandlingThe EA will automatically understand this and calculate how much lot size can be opened based on the broker’s margin call.
- If $5 is less than the minimum required to open an order, it will open with the minimum 0.01 lot.
- If it’s more than the minimum, the EA will calculate the maximum lot allowed (e.g., 0.01 or 0.02) depending on your account’s leverage
.
Profit = Stable Risk
As profits increase, the robot will still base margin calls on $5, keeping the risk proportional and consistent.
Loss = Strategic Recovery
In case of a loss, instead of using martingale, the EA will increase the margin call based on the loss amount, allowing it to open a position with a lot size that, if profitable, can compensate the loss 
.
Balance Protection
This creates a self-balancing system, reducing drawdown and making the account much safer for trading 
.
Continuous Improvements
We’re constantly improving this tool to turn it into a powerful and viable solution 
for traders looking for consistency and safety.
Visual Results – Consistent RecoveryAs seen in the image above, although the test was not run on a small account, it clearly shows the capital curve steadily pushing upward
, always seeking a quick recovery after a loss 
.
Low Drawdown, Even with High LeverageNotice the low drawdown
throughout the entire test period — even while trading in a highly leveraged and aggressive mode 
.This demonstrates the system’s ability to manage risk efficiently and maintain capital stability, even under pressure.
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It’s almost like an addiction — constantly seeking improvements that make the Expert Advisor more profitable 
while keeping it safer 
, with a relatively low drawdown .
Traders from several countries are reaching out, looking for partnership opportunities 
where they can provide the robot to their subscribers — and some great collaborations have already been established.
If you have a business like this, contact me via Telegram 
@SMARTDESIG3R and let’s make a great deal together .
In hundreds of tests carried out since the beginning of this project, I have faced many technical challenges — mainly obtaining accurate and reliable data for efficiency modeling. At an amateur level, we usually run a backtest in MetaTrader and take the result as the truth. However, even the data provided by MQL5 in MetaTrader — including from some brokers partnered to offer “high-quality” data — is actually downloaded from MetaQuotes and not provided by the broker you use to trade with the algorithm.
This causes discrepancies in:- Opening and closing prices
Spread variations
Improper slippage
Broker-specific rules, such as:- Minimum distance for order placement relative to Ask and Bid
- Minimum allowed Stop Loss / Take Profit distance
- Trailing Stop & Break Even restrictions
This is why many get beautiful backtest results but disastrous results in live accounts. Understanding the real dynamics of how everything works makes all the difference.
Performing accurate backtests requires far more details than expected, often forcing professionals to seek paid alternatives to create realistic models and ensure they have something concrete for their strategies.
Studying data modeling, structure, and how the data is actually formed is essential for a developer. It pushes us to understand a much broader context than most other developers — and that’s where innovation is born. This elevates us to a higher level of understanding, and all who follow this path will surely reach the top of the podium 
.
The work we’re developing here aims to create a new generation of algorithms with results beyond expectations — safe, profitable, and designed for a new generation of traders truly interested in achieving real results.
Everything is running stable, and I’m creating a new version with a different setup to also run in a live account on another broker — the one I consider most suitable for our strategy. Just this week, with this stable version, we’ve already reached +10%, making it ideal for conservative traders. The next version will bring additional features designed to work perfectly for more aggressive traders, aiming for higher gains while maintaining smart risk control.
After 1 week on the new account, the stable version of the Equity m4th3m4ticS robot continues to deliver excellent performance.
Some users, when contacting me, have asked why the accuracy rate is just slightly above 50% and how this could still be profitable. The answer is simple: by reading the entire project from the very first post, you’ll see that some trades are intentionally placed to lose, serving only to maintain balance. In other words, they are opened to prevent discrepancies between buy and sell positions. This keeps drawdown under control and allows the algorithm to scale profits consistently and safely. For example: many robots available online claim over 90% win rates, but in practice, just one losing trade can wipe out all profits — even with such high accuracy.
This is why mathematics is the foundation of this robot — it was designed in a highly technical way to achieve the best possible results, unlike indicators that might present fictional metrics. This means real results, This means real money in your pocket, This means true financial balance, This means genuine stability and consistency.
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The latest update of the forex robot has become truly insane.With 3 performance modes where one of them executes only orders based on the detected volume, being implemented for the next opening or closing of a session, it detects liquidity and rides the exposed volume.This resulted in a performance test over the last 7 months, starting with 1000 dollars, achieving 32X the initial amount with only a 0.99% drawdown from the initial balance. TOTALLY INSANE.
