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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 概要 デモ版またはライブ取引に関するお問い合わせは、 https://www.mql5.com/en/users/frankmichel022-gmail までご連絡ください。皆様からのフィードバックを大切にしています。 概要 Quant Scavenger – Gold Series EA は、 Gold CFD（XAUUSD） 専用に設計された機械学習ベースの自動売買システム（Expert Advisor）です。 この EA は、過去の H1（1時間足） データで学習したクオンツモデルを使用し、H1 時間足のみで動作します。 コア技術 この EA は以下の4つの機械学習モデルを組み合わせています。 Random Forest XGBoost Gradient Boosting Machine (GBM) LightGBM 複数のモデルが市場方向を判断します。設定された必要数以上のモデルが同じ方向を示した場合のみ取引を開始します。 オプション機能の LazyFTL（Follow-the-Leader）
✅ 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