GoldEngine Sentinel utilizes an advanced architecture combining dual-AI ONNX models: SuperGRU for macro bias and Master AI for micro order flow analysis. Trade execution is filtered through Gaussian Kernel Channels and Nadaraya-Watson envelopes to identify statistical boundaries and mean-reversion zones. Risk management features include dynamic lot sizing, a news shield, and a multi-stage USD-based step ladder trailing engine to secure trades. The system incorporates liquidity sweep detection and a fail-closed architecture for its neural network buffers.
Dual-AI ONNX model integration for macro and micro analysis
1Download the sourceUse "Download source (.zip)" above, or clone vivekpanchal2489/GoldEngine_Sentinel_DualAI_GKC from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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