Published products

Most rated
META i11
Meta Sophie Agapova
4.27 (22)
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 new
NOVA s7
Meta Sophie Agapova
3.86 (7)
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 tradi
META i9
Meta Sophie Agapova
5 (9)
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 per secon
META i7
Meta Sophie Agapova
5 (5)
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 actively learns f

Published signals

Growth
108%
Subscribers
0
Weeks
23
Trades
27
Win
81%
Profit Factor
1.88
Max DD
26%
Growth
-29%
Subscribers
0
Weeks
6
Trades
38
Win
78%
Profit Factor
1.69
Max DD
31%
Growth
236%
Subscribers
0
Weeks
27
Trades
79
Win
96%
Profit Factor
6.56
Max DD
8%
Growth
226%
Subscribers
0
Weeks
29
Trades
73
Win
73%
Profit Factor
1.98
Max DD
22%