? IMPORTANT INFORMATION BEFORE PURCHASE ?
? THIS EA RELIES ON LIVE AI INTEGRATION THROUGH API KEYS
? THE CORRECT AI INTEGRATION IS DELIVERED 7 DAYS AFTER PURCHASE DUE TO ITS COMPLEXITY
? THIS EA IS LIMITED IN QUANTITY AND WORKS ON A FIRST-COME, FIRST-SERVE BASIS
ArcaneX — Quantum-Grade Expert Advisor for Real-Time Market ExecutionArcaneX is a next-generation Expert Advisor designed for advanced traders and institutions seeking a fully adaptive, machine-learning-driven market engagement system. It merges probabilistic modeling, microstructure-aware signal generation, and a proprietary AI inference engine to deliver dynamic execution capability across major financial instruments.
ArcaneX is not a conventional technical analysis system. Instead, it is constructed upon a deep-stack architecture that interacts with external data streams in real-time, supported by encrypted API key authentication. As such, it operates beyond the limitations of local MetaTrader 5 logic, offering a multi-dimensional approach to trade management.
This EA thrives in high-volatility conditions, complex breakout regimes, and liquidity-fragmented environments such as XAUUSD, NAS100, BTCUSD, and EURUSD. Due to its reliance on live data and neural adaptation modules, backtesting results are not indicative of live performance.
ArcaneX is composed of six computational tiers, operating concurrently with shared memory pools:
Pre-Signal Volatility Decoder: Detects volatility bursts and tail risk structures using high-frequency bar clustering and entropy scoring.
Market Context Interpreter: Classifies the current market into one of nine latent states using a hidden Markov model.
Reinforcement Learning Kernel: Ingests multi-timeframe data to simulate thousands of hypothetical trade environments in real-time.
Execution Optimization Layer: Integrates latency compensation, orderbook simulation, and transaction cost modeling for trade deployment.
Risk Geometry Engine: Applies non-linear exposure management through capital vector analysis.
Post-Trade Evaluation Core: Scores each completed cycle with anomaly detection and feedback integration to refine future actions.
Each subsystem operates on micro-batch data feeds and is periodically refreshed with inference from the cloud-based AI model.
While ArcaneX employs some indicator structures, they are heavily modified and dynamically weighted:
Asymmetric Volatility Channels (AVC) – Enhanced envelopes based on fractal volatility and mean shift detection.
Weighted Flow Index (WFI) – Volume-driven divergence engine built from aggregated trade velocity.
Time-Decay Support Layers – Adaptive zones calculated from historical event-sensitivity filters.
Liquidity Strain Estimator (LSE) – Measures thinning in bid-ask depth proxies derived from tick behavior.
Candle Entropy Signature (CES) – AI-trained classification of candle formations into volatility clusters.
ArcaneX does not use fixed indicator crossovers or static thresholds. Instead, it constructs multi-dimensional indicator fusion maps, which evolve dynamically based on observed market phase.
The risk control engine inside ArcaneX is a vectorized capital allocation module with multi-scenario awareness. Risk is distributed across potential market states based on:
Projected Trade Entropy (PTE): Estimates outcome dispersion before order initiation.
Skew-Normal Volatility Boundaries: Establishes flexible SL/TP zones based on skew-normal distributions rather than linear ratios.
Trade Exposure Weighting: Positions are entered based on a position-score matrix rather than a fixed lot sizing formula.
Daily Equity Envelope Constraint: System self-limits exposure once cumulative variance hits a predetermined envelope threshold.
ArcaneX does not use martingale or grid-based risk amplification. All exposure decisions are fully algorithmic and data-sensitive.
Trade entries are launched when three subsystems reach synchronous consensus:
AI Forecast Node triggers structural confirmation
Volatility Decoder confirms tail safety margins
Liquidity Engine identifies favorable fill probability based on simulated slippage models
Entries are executed with intelligent slippage tolerance and multiple order routing simulations.
Exits are based on a conditional combination of:
Diminishing edge signal confidence
Spread expansion beyond adaptive limit
Deviation from model-predicted trade path
ArcaneX is designed to reduce exposure proactively and avoid overextension, especially during economic data releases or irregular orderbook spikes.
Due to the reliance on real-time API-based AI processing, ArcaneX cannot be effectively backtested using MetaTrader’s native strategy tester.
Backtesting omits the following:
Real-time model inference
External tickstream classification
Latency-aware routing simulations
Volume footprint modeling
Users must conduct performance assessments on:
Live demo environments
Real-money accounts under controlled drawdown observation
All core logic is activated only after API key authentication, making testing in Strategy Tester unreliable and incomplete.
Complete purchase of ArcaneX via MQL5
Attach the EA to a chart of your chosen instrument (M1, M5 preferred)
Enable DLL imports and WebRequest access (instructions included)
Send your account number, broker name, and purchase proof to receive your AI Key
Receive activation instructions within 7 business days
System Requirements:
ECN broker account with raw spreads
VPS latency <15ms to broker server
Balance: Minimum $500 for conservative mode; $3000+ for dynamic scaling mode
| Parameter | Value | Description |
|---|---|---|
| Auto_Risk | True | Enables adaptive capital allocation |
| AI_Mode | Enabled | Activates external machine-learning core |
| Max_Positions | 3 | Restricts open trade layering |
| Daily_Risk_Cap | 10% | Maximum net exposure per day |
| Execution_Mode | Latency Compensated | Routes orders through optimized gateway |
For advanced users and institutions, ArcaneX provides a customization interface through hidden parameters:
Inference Batch Size: Controls how many signals are processed per loop.
Tickstream Cache Size: Affects the memory buffer for signal analysis.
Model Confidence Filter: Adjusts the strictness of AI model consensus.
Trade Delay Filter: Allows intentional trade delay for news filtering.
Market Regime Bias Selector: Force bias towards breakout/trend/consolidation logic.
Custom feature unlock is available upon request after verification.
The AI system behind ArcaneX is hosted on a secured cloud node and is updated weekly. It provides:
Latent signal classification
Trade path simulation based on candle entropy
Price-action heatmaps with confidence scores
Adaptive risk/reward zoning via reinforcement learning
Integration steps:
EA sends raw market data through encrypted WebRequest
AI engine evaluates conditions and returns a structured JSON response
ArcaneX uses this response to adjust logic flow and manage execution
Security Measures:
API keys are unique per user and expire upon misuse
Encrypted communication (AES-256)
Rate limiting and redundancy fallback
AI activation requires 7 business days after purchase
One license per user account; transfers not permitted
Not compatible with brokers using synthetic symbols or delayed feeds
Improper use of AI Key results in permanent deactivation
Manual intervention may override logic but is discouraged
Due to the resource demand, availability is limited to ensure quality AI allocation per user.
ArcaneX is not a plug-and-play scalper or static system. It represents a fusion of data science, quantitative modeling, and execution theory—appropriate for those who understand the challenges of modern trading environments. While no system can offer certainty, ArcaneX continuously evolves through its AI backbone, adapting to new market data and maintaining structural flexibility.
To ensure optimal performance:
Use dedicated VPS close to broker
Monitor performance weekly
Contact support for custom AI tuning if needed
All updates are free for licensed users. For inquiries regarding enterprise use, academic licensing, or developer collaboration, reach out via the official MQL5 channel.
If for any reason you do not like the purchased program, you can request a refund within 30 days from the date of purchase. You can also make an exchange for any other product at an equal cost or by paying the difference.
Simply send a request for refund or exchange with your order number by email: support@fx-market.pro.
Refund requests received more than 30 days after purchase will be rejected.