META i7 – Technical Reference
🔹 Left & Decrease Part
Dwell Commerce
Shows the presently lively commerce in actual time, together with market motion and ongoing efficiency.
Stability
Shows the presently Stability and historic growth of the account steadiness.
General Efficiency
Shows the general weighting of the EA’s core components resembling Synthetic Intelligence, Professional Advisor logic, and Neural Networks.
Dwell Efficiency
Shows the reside weighting of the EA’s core components resembling Synthetic Intelligence, Professional Advisor logic, and Neural Networks.
Sample Analysis
Visualizes how the neural networks analyze market buildings and recurring patterns in actual time. Exhibits detected formations, repetitions, and deviations.
Neural Convergence Factors
Six dynamic factors that develop in dimension when each neural networks (NN I & NN II) affirm the identical patterns.
The bigger the purpose, the stronger the alignment.
Standing EA
General standing indicator of the Professional Advisor – confirms whether or not every part functioning correctly.
🔹 High & Central Part
Dealer / Stability / Leverage / Lot
Shows your core reside buying and selling knowledge:
-
Dealer: Present dealer
-
Stability: Account steadiness in USD
-
Leverage: Utilized leverage
-
Lot: Present commerce quantity
Dwell Commerce
Shows the presently lively commerce in actual time, together with market motion and ongoing efficiency.
Stability
Shows the presently Stability and historic growth of the account steadiness.
🔹 Proper Part
XAUUSD Development
Analyzes the present pattern for XAUUSD.
Standing META Layer (Parameter Meta Noice Supression)
Signifies the interior determination layer (META Layer). This layer merges and evaluates the outputs of each neural networks.
Standing NN I + NN II (Parameter Neural Community mannequin)
Exhibits whether or not each neural networks are functioning appropriately and producing indicators.
Inexperienced = synchronized, Yellow = partial deviation, Crimson = no alignment.
Standing AI (Parameter AI Integration Management)
Screens the standing of the AI system (GPT-5) that acts as a supervisory management, verifying and optimizing indicators.
Sample Machine Studying
Signifies whether or not the EA is presently processing previous commerce knowledge or patterns to enhance its inner mannequin – the system’s reside studying course of.
NN Sample Correlation
Measures the correlation (alignment) between patterns recognized by NN I and NN II. The next worth means stronger affirmation.
Final Sample Correction
Exhibits when the final sample correction occurred – an necessary metric for the adaptive self-learning course of.
In brief:
🔸 Left facet = Evaluation and efficiency
🔸 Central part = Actual-time knowledge and core system exercise
🔸 Proper facet = System standing, AI monitoring, and studying progress
Neural Community Overview
Neural Community I
Neural Community I (NN I) detects market buildings and recurring patterns in actual time.
It analyzes value actions, quantity, and volatility to establish pattern reversals and liquidity zones at an early stage.
This permits it to generate exact entry indicators primarily based on chances slightly than fastened guidelines.
Neural Community II
Neural Community II (NN II) analyzes the market setting and volatility to evaluate the present market dynamics.
Based mostly on this evaluation, it determines how aggressively or defensively the EA ought to reply to market actions.
META Layer
The META Layer is the central decision-making system of META i7. It receives the indicators from each neural networks,
compares and merges their outcomes, analyzes market situations, and generates a single, optimized buying and selling determination.
It weighs chances, resolves conflicts between the fashions, and repeatedly evaluates the standard of its personal choices.
By studying from previous trades, the system turns into more and more exact, steady, and clever over time.
Essential URLs
Parameters
| Parameter | Worth | Definition |
|---|---|---|
| [META -Settings] | ||
| Meta Noise Suppression | default|progessive|enhanced | Filters out conflicting or ambiguous AI indicators. |
| Cognitive Recalibration Price | default|progessive|enhanced | |
| Present Panel | true|false | Present or disguise the Professional Advisor predominant panel |
| [NN -Settings] | ||
| Neural Community Mannequin | supreme | |
| Self-Correction Depth | default|progessive | enhanced | |
| Occasion Horizon Calibration | true|false | |
| Present Neural Community | true|false | |
| [AI – Settings] | ||
| AI Integration Management | default|progessive|enhanced | |
| Choice Confidence Filter | true | false | |
| [EA Settings] | ||
| Professional Advisor Magic Quantity | 1717 | The Professional Advisor Magic Quantity is a novel ID used to establish and handle trades opened by METAi7 |
| EA Remark | META _i7 | The EA Remark is a customized textual content label added to every commerce for identification |
| Buying and selling-Danger | very low| | | Choose the Danger stage |
| Guide Lot | 0.01 | Guide Lot defines a hard and fast commerce dimension per place |
Particular Options
- Learns routinely from errors
- 2 live-connected neural networks
- Excellent META Layer
- Built-in AI interface
- PMPR + AEB + STCM logic
Overview
META i7 is a completely automated Professional Advisor primarily based on two cooperative neural networks.
These networks are processed by means of the interior META Layer – an built-in interface that evaluates each fashions, merges their outputs, and refines them right into a single, coherent buying and selling determination.
META i7 actively learns from each commerce, repeatedly improves its logic, and dynamically adapts its technique to present market situations.
The result’s a system that doesn’t simply react – it anticipates, thinks forward, and optimizes itself over time.
Primary Settings
| Image | XAUUSD |
| Timeframe | M15 |
| min. Deposit | 300$ |
| rec. Leverage | 1:20 and better |
| Dealer | all Dealer |
AI System
META i7 moreover options an built-in AI interface primarily based on GPT-5, which serves as a extra management occasion for the META Layer.
This unit re-analyzes each determination generated by the interior layer, evaluates it contextually, and optimizes it when vital.
By this extra verification layer, misinterpretations are additional lowered whereas general precision and stability considerably enhance.
GPT-5 doesn’t act as a buying and selling system itself however as an clever supervisor, repeatedly monitoring the neural networks and aiding them of their decision-making course of.
Further System
META i7 combines three interlinked modules that work collectively to cowl your complete market evaluation course of:
1. Predictive Market Sample Recognition (PMPR)
Identifies recurring market buildings, liquidity zones, and pattern reversals lengthy earlier than they develop into seen to plain indicators.
2. Adaptive Fairness Balancing (AEB)
Routinely adjusts threat primarily based on market volatility and stability.
→ Defensive throughout uncertainty, extra aggressive in steady trending phases.
3. Self-Correcting Commerce Reminiscence (SCTM)
Analyzes each commerce, detects recurring errors, and eliminates inefficient determination paths.
→ Losses are actively “unlearned.”
No Losses in Backtests
META i7 makes use of a sophisticated studying framework with short-term and Massive Information buildings.
Every loss is straight away analyzed, its trigger eliminated, and the behavioral sample optimized.
In consequence, the system improves over time and prevents the repetition of inefficient buying and selling choices.
Utilization & Suggestions
-
Merely connect the EA to XAUUSD M30.
-
No indicators or extra filters required.
-
Default parameters are optimized – alter solely you probably have expertise.
-
For finest efficiency: use a steady web connection and VPS.
