Live Trade
Displays the currently active trade in real time, including market movement and ongoing performance.
Balance
Displays the currently Balance and historical development of the account balance.
Overall Performance
Displays the overall weighting of the EA’s core elements such as Artificial Intelligence, Expert Advisor logic, and Neural Networks.
Live Performance
Displays the live weighting of the EA’s core elements such as Artificial Intelligence, Expert Advisor logic, and Neural Networks.
Pattern Evaluation
Visualizes how the neural networks analyze market structures and recurring patterns in real time. Shows detected formations, repetitions, and deviations.
Neural Convergence Points
Six dynamic points that grow in size when both neural networks (NN I & NN II) confirm the same patterns.
The larger the point, the stronger the alignment.
Broker / Balance / Leverage / Lot
Displays your core live trading data:
Live Trade
Displays the currently active trade in real time, including market movement and ongoing performance.
Balance
Displays the currently Balance and historical development of the account balance.
XAUUSD Trend
Analyzes the current trend for XAUUSD.
Status META Layer (Parameter Meta Noice Supression)
Indicates the internal decision layer (META Layer). This layer merges and evaluates the outputs of both neural networks.
Status NN I + NN II (Parameter Neural Network model)
Shows whether both neural networks are functioning correctly and producing signals.
Green = synchronized, Yellow = partial deviation, Red = no alignment.
Status AI (Parameter AI Integration Control)
Monitors the status of the AI system (GPT-5) that acts as a supervisory control, verifying and optimizing signals.
Pattern Machine Learning
Indicates whether the EA is currently processing past trade data or patterns to improve its internal model – the system’s live learning process.
NN Pattern Correlation
Measures the correlation (alignment) between patterns identified by NN I and NN II. A higher value means stronger confirmation.
Last Pattern Correction
Shows when the last pattern correction occurred – an important metric for the adaptive self-learning process.
Neural Network I
Neural Network I (NN I) detects market structures and recurring patterns in real time.
It analyzes price movements, volume, and volatility to identify trend reversals and liquidity zones at an early stage.
This allows it to generate precise entry signals based on probabilities rather than fixed rules.
Neural Network II
Neural Network II (NN II) analyzes the market environment and volatility to assess the current market dynamics.
Based on this analysis, it determines how aggressively or defensively the EA should respond to market movements.
META Layer
The META Layer is the central decision-making system of META i7. It receives the signals from both neural networks,
compares and merges their results, analyzes market conditions, and generates a single, optimized trading decision.
It weighs probabilities, resolves conflicts between the models, and continuously evaluates the quality of its own decisions.
By learning from past trades, the system becomes increasingly precise, stable, and intelligent over time.
Important URLs
META i7 is a fully automated Expert Advisor based on two cooperative neural networks.
These networks are processed through the internal META Layer – an integrated interface that evaluates both models, merges their outputs, and refines them into a single, coherent trading decision.
META i7 actively learns from every trade, continuously improves its logic, and dynamically adapts its strategy to current market conditions.
The result is a system that doesn’t just react – it anticipates, thinks ahead, and optimizes itself over time.
Basic Settings
META i7 additionally features an integrated AI interface based on GPT-5, which serves as a additional control instance for the META Layer.
This unit re-analyzes every decision generated by the internal layer, evaluates it contextually, and optimizes it when necessary.
Through this additional verification layer, misinterpretations are further reduced while overall precision and stability significantly increase.
GPT-5 does not act as a trading system itself but as an intelligent supervisor, continuously monitoring the neural networks and assisting them in their decision-making process.
Additional System
META i7 combines three interlinked modules that work together to cover the entire market analysis process:
1. Predictive Market Pattern Recognition (PMPR)
Identifies recurring market structures, liquidity zones, and trend reversals long before they become visible to standard indicators.
2. Adaptive Equity Balancing (AEB)
Automatically adjusts risk based on market volatility and stability.
→ Defensive during uncertainty, more aggressive in stable trending phases.
3. Self-Correcting Trade Memory (SCTM)
Analyzes every trade, detects recurring errors, and eliminates inefficient decision paths.
→ Losses are actively “unlearned.”
No Losses in Backtests
META i7 uses an advanced learning framework with temporary and Big Data structures.
Each loss is immediately analyzed, its cause removed, and the behavioral pattern optimized.
As a result, the system improves over time and prevents the repetition of inefficient trading decisions.
