Meta Sophie Agapova / プロファイル

(About Us)
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.