Bashar Taisir Saleh Al Zubaidi / 个人资料
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12
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63
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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
已发布产品
SUPER HYBRID EA 适用于 MetaTrader 5 的多因素市场分析、精选入场过滤、双阶段恢复系统及全账户回撤监控 Super Hybrid EA 是一款自动化交易系统,将市场分析、入场条件筛选、交易组合管理、恢复交易确认以及账户监控整合到统一的 MetaTrader 5 交易环境中。 在开立初始仓位之前,EA 会评估多个市场条件。一旦交易组合启动,系统便会持续监控风险敞口、加权平均入场价格、交易成本、恢复机会以及距离预设组合盈利目标的进展情况。 实盘交易账户: https://showmytrades.com/account/super-hybrid-ea-conservative 其交易流程遵循明确的执行顺序: 市场分析 → 方向筛选 → 入场条件检查 → 开立初始交易 → 管理交易组合 → 确认恢复机会 → 达到目标后关闭交易组合 Super Hybrid EA 专为了解组合式交易策略,并希望获得可配置入场筛选、结构化恢复管理以及详细图表实时监控功能的交易者而设计。 多因素市场分析 中央决策引擎结合多种价格分析方法,对 BUY(买入)和
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