Advanced Temporal Modeling in Foreign Exchange Markets
A Technical Analysis of Long Short-Term Memory Architectures and the Aurum Implementation
Dual neural network architecture trained on 59,000+ hours of gold price data.
Traditional gold trading relies on lagging indicators and rigid rules. This AI trading bot takes a different approach—deploying an LSTM-CNN hybrid model that captures temporal dependencies across 30 bars while extracting local patterns from the feature matrix.
The model processes 51 distinct features every hour: price dynamics, volatility regimes, market microstructure, regime detection, and cross-asset correlations. Only high-confidence setups pass the internal threshold.
Real execution. Real capital. Verifiable results.





Trained using gap validation methodology on data spanning 2015-2026. This AI trading bot learns patterns invisible to traditional technical analysis while maintaining strict risk controls through ATR-based position management.
0.7845
R-Squared
Price prediction accuracy on test data
1.58
Profit Factor
Backtest results 2018-2025 H1
8.35%
Max Drawdown
Controlled risk through dynamic sizing
+14.0%
3M ROI
2.27
Sharpe Ratio
7.3%
Max Drawdown
Investment
$349
Lifetime License
Account Protection
Instant Deployment
Same-day Support
MQL5 verified for code quality and security
VPS Compatibility Notice
This EA relies on DLL calls for license verification and will not run on MQL5's built-in VPS service, which prohibits DLL execution. It is tested and fully compatible with standard RDP/VPS connections. If you require MQL5 VPS support, please use the MQL5 Marketplace version instead. We are not responsible for incompatibilities with unsupported hosting environments.
Require verification? Speak directly to engineering.
Access Engineering TeamTechnical breakdowns and performance reviews
Explore our full range of AI trading bots and forex robots