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Quantitative systems engineering
Hamid Haddadian is the developer behind SMC Algo Trading, combining nearly a decade of financial-market activity and study with several years of MQL4/MQL5 development, Python research, and connected trading-system engineering.
SMC Algo Trading is the technical portfolio and connected software ecosystem developed by Hamid Haddadian. The brand presents the applications; the developer profile provides the market and engineering context behind them.
The professional background combines financial-market study with MQL4/MQL5 development and Python-based quantitative research. A bachelor's degree in Electronics adds a systems and engineering foundation without replacing the practical evidence shown by the applications.
The distinguishing capability is the connection between layers that are often treated separately: market structure and SMC logic, dataset engineering, machine-learning evaluation, risk controls, Python–MetaTrader integration, terminal execution, and operational feedback.
The portfolio includes SMC Pro for MT4 analysis and structured data capture, a Python research and model environment, a Hybrid comparison engine, a currency and position-management center, and SignalFileTrader for controlled MetaTrader execution.
Brand system
The matte-gold infinity mark represents the continuous loop from research to live decisions, execution, and position feedback. Cyan is used for technical data paths and operational structure.
Architecture method
Research creates setups and models; Hybrid scores live conditions; the decision center selects and manages trades; SignalFileTrader executes approved commands.
Signal files, command states, acknowledgements, logs, and position status should show what was requested and what MetaTrader actually did.
A visitor should understand each program before seeing model names, private thresholds, internal schemas, or other implementation details.
Engineering evidence
The screenshots show actual application interfaces for research, live signal fusion, decision management, and terminal execution. They are used to explain software responsibilities, not as trading-performance evidence.
Market structure and SMC concepts are expressed as explicit data, rules, states, and testable application responsibilities rather than informal trading descriptions.
Analysis tools, execution controllers, order-lifecycle logic, command handling, and terminal-side validation remain close to the trading environment.
Dataset preparation, setup discovery, feature engineering, model experiments, validation, forward testing, and comparison workflows form the research layer.
Python–MetaTrader integration, signal governance, multi-asset decisions, risk gates, acknowledgements, logs, and position feedback create one inspectable workflow.
Developer profile
The profile is concise but not anonymous. Hamid Haddadian provides the professional identity and development background; SMC Algo Trading remains the technical brand used for five connected applications, one architecture study, and the supporting engineering documentation.
Technical collaboration
Share the current context, the main constraint, and the outcome you need. The enquiry template keeps the first conversation focused and technically useful.