🔱Only Forex Super EA

In Your Opinion, What Defines a Super EA?
As a programmer, I decided to conduct real research by interviewing popular social media traders showcasing impressive results, and also representative offices of a well-known broker in Brazil.
The result? Hundreds of pages filled with suggestions and practical applications across various trading strategies and styles.
However, a key statistic from a Brazilian government agency helped narrow our focus. It revealed that out of approximately 9 million Brazilians trading the stock market:

1. Only 5 individuals ended 2024 without losses,
2. And just 1 trader consistently made over $100 per day.

This drastically filtered our research pool, exposing the reality that many have stories—but few have results.
The representative offices of Broker XP Inc. were crucial. They hold real performance data from traders operating through their offices, giving us access to a wealth of verified information.
With this data in hand, we realized how incredibly difficult it is to find a profitable path in the financial markets. Even though our study focused on Brazil, the institutional mindset and execution methods are universal.
This led us to a burning question:
Who is this ONE TRADER who outperformed 90 million Brazilian traders and stayed profitable for 12 months straight?
What strategy did he use? What was his mindset?
I discovered he had previously shared some video content online before stepping away from social media. In those videos, he openly explained his personal theory of the financial markets.
He allegedly went on to create an investment fund, but due to betrayal from partners, he faced legal issues in Brazil.
Currently, no one knows where he is, but his trading accounts are still active—and according to advisors, highly profitable.
Based on the data he left behind, I began coding his logic. I even discovered some strategic flaws—possibly the same ones he refined over time.
The result is now a script with over 7,000 lines of code, running in test mode.
And surprisingly, the equity curve keeps rising—even though losses do occur—because the money management logic is truly unique. It adapts dynamically to account balances, starting from $100 and scaling up in behavior as the balance grows.
At first, I was skeptical. But as I followed his strategy, it was as if the algorithm came to life, capable not just of executing orders, but thinking through what to do. It’s similar to machine learning, but more advanced:
The EA stores past data in a .txt file inside the files folder, analyzes it later, cross-references it with the current situation, executes (or not) an order, and then deletes the file—ready to start again.
A type of pattern-free analysis. In other words: Dynamic. Adaptive. Real-time.
And we all know: the market can change at any moment.
I’ve conducted:

1. Multiple tests on live accounts
2. Extensive trials in demo accounts
3. Hundreds of simulations using 99% accurate model data from Dukascopy.

The results? Promising.

In the image, we can observe how the EA performed over the past month, starting with a $100 account using default settings.

In the image below, as you can see, the day trading mode was used with a high-risk level .
The results are extremely impressive, showing significant gains.
However, as highlighted in the red circle on the equity curve , the system also experienced a high drawdown while operating in this aggressive mode.

Here is the same example with $10,000.

Here, $10,000 with a smoother equity curve in moderate mode.
Less than 8% drawdown and over 60% profitability .

Despite all efforts to make the code as lightweight as possible — and in some sections, to make the reading process by MetaTrader faster and cleaner — the script still contains over 7,400 lines of code .
So far, that's the maximum level of optimization I’ve been able to achieve.

Testing is still ongoing, both on live accounts, demo accounts, and through data analysis tools to improve performance and efficiency.
I will be updating these results daily.
If you'd like to chat with me, feel free to reach out via Telegram: @smartdesig3r.

In the image, I’m running a test on XAU/USD, a much more complex asset due to its high volatility .
My goal here was to explore the maximum possible security while still aiming for the highest possible profit.
The minimum starting balance for this test was just $20.
Reference period: from May 24, 2025, to June 23, 2025 — a total of 29 days.

Here, the goal was the same: to test maximum market stress with the highest possible lot volume and the lowest possible deposit in the broker.
In this example, the test was conducted with a $100 starting balance.

In the latest XAU/USD tests, I disabled the day trade filter, meaning the EA operates continuously, executing trades whenever opportunities appear on the chart, regardless of the time.

If you'd like to chat with me, feel free to reach out via Telegram: @smartdesig3r.

The latest update to this algorithm brings outstanding results.
With a cleaner reading and by filtering out market noise, it now enhances the search for better trade setups.

When I say better, I’m not referring to just profit volume, but rather to entries with nearly 100% win rate and extremely low drawdown, almost negligible.
This makes it ideal for those seeking meaningful and consistent results with minimal risk.
We are continuously running real account studies and tests to improve performance.
Our team is constantly working to implement updates and enhancements.

In the image below, you can see the real market tests performed from February to June 29, 2025.
With new filters and a much cleaner reading, we’re now able to identify trade opportunities that were previously missed, while avoiding higher-risk conditions.
As a result, the EA is now safer and more suitable for traders who prioritize security and profitability.



Want to talk to me about this EA?
Send me a message on TELEGRAM: @SMARTDESIG3R.