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AlgoSphere Quant is an independent algorithmic trading development and research initiative with a strong focus on structure, risk control and sustainable performance.
The team combines more than 25 years of cumulative experience in institutional investment and asset management. It consists of experienced investment and portfolio managers with investment banking and buy-side backgrounds, who are currently active for well-established financial institutions, as well as specialized software developers with deep expertise in algorithmic system architecture and trading automation.
Together, we develop algorithmic trading systems for MetaTrader 5 designed to operate across different market phases – ranging from structured intraday logic to precisely controlled scalping approaches.
The focus is on market structure, liquidity behavior and rule-based execution rather than uncontrolled high-risk methods.
Our core philosophy is clearly defined:
Performance matters – but only when aligned with controlled risk, transparency and disciplined execution.
Our work is guided by institutional trading principles, including:
– structured market and liquidity logic
– controlled, dynamic risk models
– adaptive position and trade management concepts
– clearly defined, testable and reproducible trading rules
Each team member contributes specific strengths to the development process – from market analysis and risk management to quantitative modeling and the technical implementation of robust, high-performance trading systems. This interaction forms the foundation of our trading and robo-advisor solutions.
The objective is not short-term marketing promises or over-optimized strategies, but efficient and robust systems for disciplined traders who value both performance and long-term sustainability.
All systems undergo extensive internal testing and validation under realistic market conditions before any public release is considered.
No product is published without reliable market data, performance analysis and strict risk evaluation.
Updates, optimizations, and technical support are naturally included in our product offering. Support is provided via the MQL5 messaging system.
The team combines more than 25 years of cumulative experience in institutional investment and asset management. It consists of experienced investment and portfolio managers with investment banking and buy-side backgrounds, who are currently active for well-established financial institutions, as well as specialized software developers with deep expertise in algorithmic system architecture and trading automation.
Together, we develop algorithmic trading systems for MetaTrader 5 designed to operate across different market phases – ranging from structured intraday logic to precisely controlled scalping approaches.
The focus is on market structure, liquidity behavior and rule-based execution rather than uncontrolled high-risk methods.
Our core philosophy is clearly defined:
Performance matters – but only when aligned with controlled risk, transparency and disciplined execution.
Our work is guided by institutional trading principles, including:
– structured market and liquidity logic
– controlled, dynamic risk models
– adaptive position and trade management concepts
– clearly defined, testable and reproducible trading rules
Each team member contributes specific strengths to the development process – from market analysis and risk management to quantitative modeling and the technical implementation of robust, high-performance trading systems. This interaction forms the foundation of our trading and robo-advisor solutions.
The objective is not short-term marketing promises or over-optimized strategies, but efficient and robust systems for disciplined traders who value both performance and long-term sustainability.
All systems undergo extensive internal testing and validation under realistic market conditions before any public release is considered.
No product is published without reliable market data, performance analysis and strict risk evaluation.
Updates, optimizations, and technical support are naturally included in our product offering. Support is provided via the MQL5 messaging system.
Amigos
1
Muharrem Rogova
Our current focus is the validation of a rule-based Forex trading system.
The system is designed to adapt to different market conditions while maintaining controlled risk and execution discipline.
Early testing confirms the expected behavior under varying market conditions.
The system is designed to adapt to different market conditions while maintaining controlled risk and execution discipline.
Early testing confirms the expected behavior under varying market conditions.
Muharrem Rogova
Internal validation of several MetaTrader 5 trading concepts is ongoing.
Current focus is on robustness, execution quality and risk behavior across different market conditions.
Current focus is on robustness, execution quality and risk behavior across different market conditions.
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