Antoine Melhem / Profile
- Information
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1 year
experience
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7
products
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437
demo versions
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0
jobs
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1
signals
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Dr. Antoine Melhem
PhD in Business Administration | MSc in Computer Science
Senior Network Engineer and Algorithmic Trader
With over 9 years of experience in financial markets and automated trading development, I design logic driven Expert Advisors focused on disciplined risk management and execution stability.
My background in systems and infrastructure engineering strengthens the reliability and structural consistency of every automated strategy I develop.
As a funded trader across multiple proprietary firms, I combine technical precision with real market experience.
PhD in Business Administration | MSc in Computer Science
Senior Network Engineer and Algorithmic Trader
With over 9 years of experience in financial markets and automated trading development, I design logic driven Expert Advisors focused on disciplined risk management and execution stability.
My background in systems and infrastructure engineering strengthens the reliability and structural consistency of every automated strategy I develop.
As a funded trader across multiple proprietary firms, I combine technical precision with real market experience.
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Antoine Melhem
Venom Gold Pro is now being updated and will run with one strategy only.
Yesterday’s results:
2 trades in grid mode both hit take profit
2 trades in no grid mode one hit SL one hit TP
Yesterday’s results:
2 trades in grid mode both hit take profit
2 trades in no grid mode one hit SL one hit TP
Antoine Melhem
Published product
LONDON EDGE – GBPUSD M30 Scalping Expert Advisor LONDON EDGE is a structured Expert Advisor built for GBPUSD on the M30 timeframe. It uses a consistent logic framework with fixed Stop Loss and Take Profit values. Position sizing adjusts automatically based on account balance. No martingale, grid, or hedge methods are used. Live Signal https://www.mql5.com/en/signals/2313088 This EA is suitable for prop firm use, meeting strict risk control rules and low drawdown requirements through disciplined
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