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Hello, I’m Meta, a senior quantitative developer with over 12 years of experience in the fields of neural network design, algorithmic trading, and AI-driven market analysis.
My professional background includes work in machine learning model optimization, Deep Learning architecture development, and real-time data interpretation for financial systems.
Together with my small but highly specialized team of data scientists and quantitative analysts, we now focus on developing intelligent Expert Advisors (EAs) that merge artificial intelligence,
market logic, and adaptive learning systems into one coherent trading framework.
(Our Focus)
- Advanced Neural Network Integration (DeepSeek, GPT-based & custom LSTM architectures)
- Market Microstructure Analysis – liquidity flow, tick pattern recognition & order book modeling
- Adaptive Trading Logic – systems that learn from both profits and losses
- Big Data Pattern Evaluation – continuous feedback models for real-time optimization
- Cross-Platform Development (MT4, MT5, Python API integrations)
(Our Vision)
We strong believe that the future of trading automation lies in self-learning systems that evolve with every trade.
Our goal is to build Expert Advisors that don’t just follow static rules - they think, adapt, and improve over time, becoming more accurate and intelligent with every market phase.
Each EA we publish is individually trained, live-tested, and continuously improved based on real market conditions.
Transparency, precision, and innovation are at the heart of our work.
(Contact)
We’re always open to constructive discussions, feedback, and collaboration ideas.
If you have any questions about our systems or wish to test one of our projects, feel free to reach out anytime.
NOVA s7 – Institutional Adaptive AI Trading Engine NOVA s7 represents the next evolutionary step in intelligent algorithmic trading. Built around a powerful DeepSeek AI framework, NOVA s7 is designed to interpret market behavior contextually rather than react to static signals. Unlike conventional Expert Advisors, NOVA s7 continuously evaluates market structure, momentum shifts, volatility pressure and execution quality through an adaptive multi-layer intelligence system. The result is a trading
META i11 – Hybrid Cognitive Trading System - Technical Reference META i11 represents the next evolutionary stage of the META series, surpassing META i7 and META i9 through a fully redesigned hybrid cognitive architecture. Instead of relying solely on neural networks or fractal systems, META i11 introduces a Tri-Core Cognitive Engine that analyzes, adapts, and rewrites internal decision logic autonomously. The EA incorporates deep liquidity mapping, multi-layer cognitive supervision, and a
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META i9 – Quantum Adaptive Trading Engine - Technical Reference META i9 is a fully autonomous Expert Advisor based on a three-layer architecture: Quantum-State Pattern Analysis (QSPA) Neuro-Fractal Engine (NFE) Self-Correcting Trade Memory (SCTM) While META i7 relies on two cooperative neural networks, META i9 goes one step further: Its neural architectures have been significantly expanded and optimized, enabling far deeper pattern recognition and a much higher number of decisions
META i7 – Evolution of Intelligent Trading - Technical Reference META i7 is a fully automated Expert Advisor based on two powerful and cooperative neural networks. These work together in real time to make, evaluate, and continuously optimize trading decisions. The two neural networks are processed and analyzed through the internal META Layer. This is a fully integrated interface within the EA that merges and interprets their outputs into one coherent trading decision. The EA