Systematic Strategy Research

SubraX focuses on the research and development of structured trading strategies, particularly within

Forex markets

Cryptocurrency markets

Algorithmic execution frameworks

Risk-managed trading models

Since 2016, we have studied how rule-based frameworks can help market participants create more disciplined participation models

Our research includes

Strategy hypothesis development

Historical data analysis

Backtesting frameworks

Risk parameter calibration

Market behavior modeling

These efforts contribute to the creation of automation-compatible trading structures that can be studied and implemented independently by users.

Automation Framework Exploration

SubraX research includes the development and study of automation frameworks designed to support structured execution.

Key areas of exploration include

Algorithmic execution logic

Strategy parameter modeling

Risk-based position sizing

Market volatility adaptation

Automation system architecture

These frameworks are designed as technology tools that support predefined rules and execution discipline.

Automation systems developed through our research are intended to assist traders who wish to apply structured strategies to their own trading environments.