|
2 années
expérience
|
3
produits
|
17
versions de démo
|
|
2
offres d’emploi
|
0
signaux
|
0
les abonnés
|
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 Présentation généraleContactez-moi à l’adresse https://www.mql5.com/en/users/frankmichel022-gmail pour obtenir une version de démonstration ou des informations sur une utilisation en réel, vos retours sont importants. Présentation générale Quant Scavenger – Gold Series EA est un Expert Advisor basé sur l’apprentissage automatique, conçu exclusivement pour le Gold CFD (XAUUSD) . L’EA utilise un modèle quantitatif entraîné avec des données historiques H1 (1
✅ 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