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Starting with classic Expert Advisor development for MetaTrader, I’ve evolved my craft toward fully autonomous,
AI-driven trading systems—leveraging machine learning pipelines for pattern recognition, predictive modeling, and adaptive risk control.
▪️ Strategy development & data engineering – sourcing, cleaning, and feature construction from tick-level to macroeconomic datasets
▪️ Model building – using Python, TensorFlow, PyTorch, and MQL to design, backtest, and live-deploy reinforcement learning agents, deep neural networks, and hybrid rule-based logic
▪️ Robust execution – low-latency infrastructure, cloud orchestration, and continuous monitoring to keep models sharp in real-time markets
Driven by the belief that AI is shaping the next era of finance, I focus on translating complex market behavior into self-improving code—helping traders and funds stay competitive, scalable, and future-ready.
A new step forward | AI-Driven Precision meets Market Logic With Argos Rage , a new level of trading automation is introduced – powered by an embedded DeepSeek AI system that analyzes market behavior in real time. While it builds on the strengths of Argos Fury, this EA follows a different strategic path: more flexibility, broader interpretation and stronger market engagement. Live Signal Timeframe: M30 Leverage: min 1:20 Deposit: min $100 Symbol: XAUUSD, EURUSD Broker:
For the first time on this platform | An EA that understands the market For the first time on this platform, an Expert Advisor uses the full power of Deep Seek. In combination with the Dynamic Reversal Zoning strategy, a system is created that not only detects market movements – but understands them. Setup Timeframe: H1 Leverage: min 1:30 Deposit: min $200 Symbol: XAUUSD Broker: all This combination of Deep Seek and the Reversal Strategy is new – and that’s exactly what makes it
