Algorithmic Trading Systems Built for Real Market Risk

Institutional-grade trading systems using MQL5, Python, and AI engineered for performance, resilience, and risk control.

FintorAI
FintorAI
FintorAI

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!

Scope First!

Every project starts with a clear technical scope, constraints, and expectations.

Step 01
Architecture & Risk Design

Architecture & Risk Design

Systems are designed modular, testable, and risk-aware, not hacked together.

Step 02
Build & Validation

Build & Validation

Execution logic, logging, edge cases, and validation come before optimization.

Step 03
Delivery & Handover

Delivery & Handover

Clean code, documentation, and post-delivery support — no black boxes.

Step 04

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

Who This Is For

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.

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