Sofya Tselishcheva
Sofya Tselishcheva
3.4 (5)
  • Information
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experience
3
products
103
demo versions
0
jobs
2
signals
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Experienced trading specialist with a long background in one of the major global financial trading firms.
Due to confidentiality agreements, I cannot disclose the name of my former employer, but my work focused heavily on algorithmic trading, quantitative analysis, and risk-optimized strategy development.

I now use this expertise to create high-quality Expert Advisors designed for stability, precision, and long-term performance.
My goal is to provide professional trading tools that help traders achieve consistent and controlled results.
Sofya Tselishcheva Published product

240.00 USD

PHAROX xT – Adaptive High-Speed Trading PHAROX xT  represents the next evolution of intelligent trading systems, designed to execute faster and operate with enhanced efficiency in dynamic market environments. While building on the proven foundation of previous PHAZER systems, xT introduces a more refined and responsive strategy architecture focused on speed, precision, and execution quality. The system continuously monitors live market conditions and reacts in real-time to micro-structural

Sofya Tselishcheva Published product
Reviews: 3
470.00 USD

PHAZER X – AI Trading Engine powered by GPT Intelligence PHAZER X represents a new generation of AI-assisted trading systems designed to interpret market behavior through advanced reasoning models. Unlike traditional Expert Advisors that rely mainly on predefined technical indicators, PHAZER X integrates a modern AI architecture powered by the latest ChatGPT intelligence layer . The system observes live market activity, analyzes structural relationships between price movements, and dynamically

Sofya Tselishcheva Published product

370.00 USD

PHantom N1 EA – Intelligent Expert System with Visual Market Processing PHantom N1 is based on a data-driven approach and has been trained over several years using extensive historical market data. The development environment included real price movements, volatility phases, structural market changes, and external influences. Not only were classic technical indicators used, but also multimodal data streams – including visual chart patterns, candlestick formations, and order flow data. The goal