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Over the years, I have tested and evaluated hundreds of Expert Advisors available on the market, including several premium and high-priced systems. While many looked impressive in backtests or marketing materials, I often found that real trading conditions exposed weaknesses in consistency, risk management, broker adaptability, execution quality, or long-term stability.
That experience pushed me to take a different approach: instead of continuing to search for the “perfect EA,” I decided to build my own.
Today, I have developed a portfolio of **10 advanced Expert Advisors**, each created with a specific trading methodology, market behavior, and risk-management objective in mind. These EAs are the result of extensive testing, continuous refinement, practical market observation, and lessons learned from evaluating many other automated trading systems.
My development philosophy is focused on several core principles: **controlled risk, disciplined execution, adaptability to different brokers and market conditions, practical trade management, and avoiding unnecessary complexity such as uncontrolled martingale or aggressive grid techniques.**
Rather than relying on a single strategy for every market environment, my 10 EAs use different trading concepts and execution models, allowing each system to focus on the conditions for which it was designed.
Every EA has gone through multiple stages of development, testing, optimization, and improvement before being prepared for release. My objective is not to create systems that simply produce attractive historical backtests, but to develop professional automated trading tools with clear logic, structured risk management, and the ability to operate under real-world trading conditions.
These 10 EAs represent years of testing, learning, development, and continuous improvement—and they were ultimately created because I wanted the type of automated trading systems that I could not find elsewhere in the market.
That experience pushed me to take a different approach: instead of continuing to search for the “perfect EA,” I decided to build my own.
Today, I have developed a portfolio of **10 advanced Expert Advisors**, each created with a specific trading methodology, market behavior, and risk-management objective in mind. These EAs are the result of extensive testing, continuous refinement, practical market observation, and lessons learned from evaluating many other automated trading systems.
My development philosophy is focused on several core principles: **controlled risk, disciplined execution, adaptability to different brokers and market conditions, practical trade management, and avoiding unnecessary complexity such as uncontrolled martingale or aggressive grid techniques.**
Rather than relying on a single strategy for every market environment, my 10 EAs use different trading concepts and execution models, allowing each system to focus on the conditions for which it was designed.
Every EA has gone through multiple stages of development, testing, optimization, and improvement before being prepared for release. My objective is not to create systems that simply produce attractive historical backtests, but to develop professional automated trading tools with clear logic, structured risk management, and the ability to operate under real-world trading conditions.
These 10 EAs represent years of testing, learning, development, and continuous improvement—and they were ultimately created because I wanted the type of automated trading systems that I could not find elsewhere in the market.
Bashar Taisir Saleh Al Zubaidi
Published product
SUPER HYBRID EA Multi-Factor Market Analysis, Selective Entry Filters, Two-Stage Recovery & Account-Wide Drawdown Monitoring for MetaTrader 5 Super Hybrid EA is an automated trading system that combines market analysis, entry qualification, basket management, recovery confirmation, and account monitoring in one integrated MetaTrader 5 environment. The EA evaluates several market conditions before opening an initial position. Once a basket is active, it tracks exposure, weighted entry price