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Explore my products:
• Quant Apple Scavenger – https://www.mql5.com/en/market/product/113103
• Quant Scavenger NasDaq – https://www.mql5.com/en/market/product/167438
• Quant Scavenger XAUUSD – https://www.mql5.com/en/market/product/188572
Thank you for visiting my profile. Your feedback and support are always appreciated.
Try it at just 35$
Quant Scavenger FBS – Gold Series EA Panoramica Contattami tramite https://www.mql5.com/en/users/frankmichel022-gmail per ottenere una versione demo o informazioni sul trading reale, il tuo feedback è importante. Panoramica Quant Scavenger – Gold Series EA è un Expert Advisor basato sul machine learning, progettato esclusivamente per il Gold CFD (XAUUSD) . L'EA utilizza un modello quantitativo addestrato su dati storici H1 (1 ora) e funziona esclusivamente sul timeframe H1. Tecnologia principale
✅ Stop-loss is now calculated in dollar (account currency) terms instead of raw price points.
This ensures risk sizing remains consistent across brokers, regardless of differences in digits or quote conventions. Previously, a fixed-point stop-loss could represent significantly different dollar risk depending on the broker (for example, FBS vs. IC Markets) especially incase of different minimal lot, resulting in inconsistent position sizing.
With this update, the EA targets a real dollar risk amount directly, so both lot sizing and stop-loss placement behave consistently across supported brokers.
Thank you for your continued support and valuable feedback. More improvements are coming!. And Remember this EA works for FBS if you are out there and tested different or want something different contact me.
🔗 Quant Apple Scavenger: https://www.mql5.com/en/market/product/113103
Exness Quant Scavenger – Nasdaq USTECm EA Overview Exness Quant Scavenger – Nasdaq USTECm EA is a single-asset, machine learning–driven quantitative Expert Advisor engineered exclusively for trading: USTECm (Nasdaq CFD) on Exness This system is not multi-asset and not generalized. It is built specifically for the structural behavior of the Nasdaq index CFD (USTECm symbol) as provided by Exness. The embedded quantitative model is trained exclusively on: H1 (1-hour timeframe) data It is not a