✅ Perfect EA for FTMO and Prop Firm companies

In another open project, I’ve been developing an algorithm based on mathematical factors, currently in its fifth variant.
One of these versions was adapted upon request to run on prop firms, aligning the EA with the most common rules of these firms.
Below are the results based on a $100,000 funded account:


Month: February 2025
Result: $1,816
Drawdown: 0.75%

--------------------------------------------------------------------------------------

Month: March 2025
Result: $843
Drawdown: 0.56%
--------------------------------------------------------------------------------------


Month: April 2025
Result: $2,245
Drawdown: 2.36%
--------------------------------------------------------------------------------------


Month: May 2025
Result: $1,419
Drawdown: 2.18%
--------------------------------------------------------------------------------------


Month: Jun 2025
Result: $1,072
Drawdown: 0.41%

--------------------------------------------------------------------------------------
Total Profit Over the Period: $7,395
For those truly interested, please contact me via Telegram: @smartdesig3r

We now have a dedicated registration and support channel where traders can get access to the ideal Expert Advisor (EA) tailored to their trading style and target market.

Simply visit code88.site
Complete your registration
Choose the EA version that best suits your needs
And begin your journey with cutting-edge trading technology!

Your evolution as a trader starts now.

Update after a short break
It’s been a little over a month since my last post on this subject , mainly because I was focused on something far more urgent. As you can see in the Trader Explorer at the top of this thread, I’ve been fully engaged in the development of EQUITY M3TH3M4TICS — a powerful Expert Advisor designed specifically to trade XAU-USD (Gold) .

This project has consumed a massive amount of time and energy, requiring deep testing, adjustments, and strategy refinements.
Now, as I finally reach what I believe to be the latest stable version of this EA, I’ve realized something important:
During the development process, I made several notes and observations that highlighted potential opportunities . These insights suggest that, with a few adaptations, this system could also be effectively applied to proprietary trading firms (prop firms) .
️ My main intention moving forward is to explore these adaptations — opening new doors for both personal trading and possible integration into prop firm challenges.


Expanding Functionality for Prop Firms
With the addition of a few key functions, I can now establish much greater control over orders — adapting the system to match the unique requirements and characteristics of each proprietary trading firm .

Because of this, I’ve started a faster-paced development phase, dedicating the next few days primarily to this subject. It’s going to be an intense week of work , especially since I’m constantly receiving messages from clients on Telegram — either for ongoing support or from new traders interested in using this Expert Advisor.

And honestly… the EA has become something truly amazing . You should at least consider reading about it! For reference, check out my topic “EXPERT ADVISOR BANNED FROM THE MQL5 SITE” .

It was an incredible victory — after so much time developing, testing, and perfecting this system, it finally delivered highly expressive results in terms of operational quality, safety, and efficiency. These are exactly the elements I plan to replicate and enhance for prop firm environments.
Why this matters now

Recently, many traders have approached me seeking solutions tailored to AXI — since this broker provides a more flexible environment and a solid plan for professional traders.

However, building something for this requires a unique, singular effort . That’s why I’ll be fully focused this week on in-depth research, countless tests, and refinement , so I can design a clear roadmap for how everything should function.
Because at the end of the day, we’re not here just to make a few quick bucks .

We’re here to make history, to stand out as the best at what we do — and I’m determined to bring something truly unique and unmatched to this market.
Interested?

If this resonates with you or you’d like to know more, feel free to reach out directly on Telegram @smartdesig3r

I have messaged you on telegram about the broker pls check.

Hello, how are you? I'm sorry, I checked and there was indeed a message, but due to the time difference, I didn't reply immediately, and when I looked at the messages now, they had been deleted.Just send me a message on Telegram @smartdesig3r and identify yourself, and I will know it's you.

Initial Testing with AXY Broker Rules
In my first round of testing, I introduced several variables designed to simulate trading limitations — specifically those imposed by brokers like AXY, which are commonly used by traders aiming to qualify for funded accounts .
For these tests, I started with a minimum deposit of $500.
The short-term goal:

1. Keep daily drawdown below 10%
2. While still aiming to increase account equity within the same period

The ultimate goal:
To meet AXY’s funding requirements and unlock access to up to $1,000000 in broker-provided capital, with traders retaining up to 90% of the profits .
Challenges faced
At the beginning, the adjustments caused multiple errors , since the Expert Advisor I used as a base was originally designed for standard retail accounts — which are stable, balanced, and safe but not compliant with prop firm restrictions.
Because rules vary across brokers, and based on multiple requests, I decided to dive deeper into AXY’s specific requirements first, as this broker holds strong credibility among traders seeking funding .
Results so far
After fine-tuning, the best outcome achieved within 1 day was:

1. 1% drawdown
2. 5% profit

These are early-stage results . While not yet enough to guarantee complete reliability, they represent a solid starting point for deeper testing. More advanced studies and long-term trials are already underway.
To ensure precision, I used Tickstory data , achieving 100% modeling quality, with 0 execution errors . This confirms the high accuracy of the results obtained so far.
Next steps
We continue refining, testing, and pushing towards building the most efficient and secure trading system possible — one that truly fits the demands of prop firm challenges.

Want to discuss this further?
Reach out directly via Telegram @SMARTDESIG3R

Almost two days ago I gained access to this solution – a robot that was apparently developed specifically for proprietary desk management at AXI Infinity.

The current owner, with all the presented usage history of the robot, has reached the long-desired management margin of 1 million dollars with AXI and now dedicates his life solely to this purpose.
The test provided by him, due to my intention to acquire it, has so far been running for about 24 hours and took an account of only $369 to $1,107 in this period, with a 3% drawdown.

I will wait until the end of the testing period he provided, and if everything is confirmed and remains consistent, I will certainly seek to acquire the source code so that we can have this solution available.

Finally, I bring updates!
Many traders have reached out to me in search of an algorithm tailored for PROPFIRM trading. Until recently, the product I had was still generic. I've been working for a long time on this concept, which originally branched off from another Expert Advisor. Over time, new ideas emerged, leading to a version specifically designed for proprietary trading firms.

Investment & Development
About two weeks ago, I acquired an additional code worth $4,000 to complement an already excellent idea. Merging both systems led to some conflicts — certain functions were canceling each other out. But after careful refinement, the result turned out to be a truly remarkable piece of work.

HABEMUS PROPFIRM EA
We now have the definitive version for those looking to start with funded accounts.
In upcoming posts, I’ll share technical insights about this EA — its development journey, improvements, and updates.

Performance Snapshot
In the image, you’ll see a test run on a $10,000 funded account.
In just one month, it achieved over 20% profitability with a drawdown slightly above 5% throughout the period.


Features That Empower You

1. Custom Risk Control: Choose your risk level from 1% to 100% of your total balance.
2. Trading Schedule: Set your preferred start and end times for trading operations.
3. AI Integration: Connected via DLL to Copilot GPT-5, the EA updates its database using machine learning for enhanced precision testing.
4. Dynamic Strategy Engine: The system adapts automatically to market conditions, enabling non-standardized, infinite strategies for trading.

Interested?
For those who are curious or ready to dive into this powerful EA, feel free to reach out via Telegram:
@SMARTDESIG3R

EQUITY M4TH3M4TICS Propfirm Edition undergoes a comprehensive and customized optimization process known as Anti-overfitting.
This robust procedure is designed to eliminate any influence of overfitting in the trading system, ensuring the generality and reliability of the constructed model.

The Anti-overfitting process consists of 3 key stages:
Initial Optimization
Data Range: 2010–2019
This phase involves optimizing the Expert Advisor (EA) using historical data. The goal is to validate the initial premise of the trading strategy and extract the most robust parameter values.

Walk-forward Testing
Data Range: 2019–2025
In this stage, the parameters that performed well in the initial optimization are tested on entirely new data. The objective is to ensure the system’s stability with unseen data and assess the model’s predictive power.

Stress Testing
Simulation with Noise & Delay
Parameters that pass the first two stages are subjected to stress tests. A simulation algorithm introduces variables such as noise and delay at the entry and exit points (defined by the Walk-forward phase parameters). The goal is to push the system beyond its "comfort zone" and evaluate its tolerance to random factors like latency and market noise.