Algorithmic Trading Systems Built for Real Market Risk
Institutional-grade trading systems using MQL5, Python, and AI engineered for performance, resilience, and risk control.
What I Actually Build
MQL5 Expert Advisors
Trend, breakout, volatility, grid & hedge systems engineered with clean structure, execution logic, and risk-aware controls.
ML & Risk Engines
Pre-trade filters, regime classifiers, and XGBoost-based scoring — integrated to improve precision and reduce tail-risk.
Python Execution & Integration Bots
Async REST/WebSocket execution bots for Binance, OKX, and Web3 — with clean logging, monitoring, and robust order flow.
How Projects Are Built
Scope First!
Every project starts with a clear technical scope, constraints, and expectations.
Architecture & Risk Design
Systems are designed modular, testable, and risk-aware, not hacked together.
Build & Validation
Execution logic, logging, edge cases, and validation come before optimization.
Delivery & Handover
Clean code, documentation, and post-delivery support — no black boxes.
Code Samples & Architecture References
Some parts of my work are available as open-source references.
You can explore selected architectures, execution logic, and tooling on GitHub.
What Matters !
Who This Is NOT For
- Want a “fast profitable bot” without understanding risk
- Expect copy-paste strategies or black-box indicators
- Start projects without scope, constraints, or ownership Clarity upfront saves time for both sides.
Who This Is For
- Building real trading systems, not indicator demos
- Care about risk control, edge cases, and long-term stability
- Start projects without scope, constraints, or ownership Clarity upfront saves time for both sides.
Start a Technical Conversation
If your project values structure, risk awareness, and long-term stability, we’re likely a good fit. Let’s start with a short technical discussion.
No sales calls, No generic proposals, Just clarity before commitment.