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2 년도
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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 개요 데모 버전 또는 실거래 관련 문의는 https://www.mql5.com/en/users/frankmichel022-gmail 로 연락해 주세요. 여러분의 피드백은 중요합니다. 개요 Quant Scavenger – Gold Series EA는 Gold CFD (XAUUSD) 전용으로 개발된 머신러닝 기반 Expert Advisor입니다. 이 EA는 과거 H1 (1시간) 데이터를 기반으로 학습된 정량 모델을 사용하며, H1 시간 프레임에서만 작동합니다. 핵심 기술 EA는 네 가지 머신러닝 모델을 결합합니다. Random Forest XGBoost Gradient Boosting Machine (GBM) LightGBM 각 모델은 시장 방향을 분석하며, 설정된 최소 개수 이상의 모델이 동일한 방향을 확인할 때만 거래를 실행합니다. 선택 가능한 LazyFTL (Follow-the-Leader) 시스템은 최근 거래
✅ 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