Royal Hedge Fund EA V3.0 for MT5
Designed for precision and performance, Royal Hedge Fund EA V3.0 is a high-frequency trading (HFT) robot engineered to exploit ultra-short market movements on indices like US30 and NAS100. Built for the MetaTrader 5 platform, this advanced EA leverages lightning-fast execution and smart risk controls to deliver professional-grade results.
🔍 High-Frequency Trading Engine
This EA operates using a proprietary HFT algorithm, executing dozens of micro-trades during peak market hours—primarily during the New York session—capitalizing on short bursts of volatility.
⚙️ Optimized for Indices
Tailored specifically for high-volatility assets such as US30 (Dow Jones) and NAS100 (NASDAQ), where price fluctuations are ideal for short-term entries and exits.
📈 Precision Entry & Exit Logic
The EA monitors price action at the tick level, using ultra-fast logic to trigger trades based on spread, slippage, and micro-movements—ideal for scalping-style profits.
🛡️ Risk Management Focused
Built-in features such as smart lot sizing, loss control, trade frequency limits, and session-based execution help ensure consistent returns while managing exposure effectively.
💼 Best Performance During NY Session
The EA is specifically coded to trade during the most liquid time of the day—when New York markets open—offering the highest probability setups and lowest spreads.
🖥️ VPS & Low Latency Recommended
For best results, a low-latency VPS is highly recommended. The EA thrives on fast data feeds and minimal execution delay to ensure timely trade placement.
Technical Overview:
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Platform: MetaTrader 5 (MT5)
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Version: Royal Hedge Fund V3.0
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Trading Style: High-Frequency Trading (HFT)
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Best Used On: US30, NAS100
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Execution Time: NY Session Only
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Minimum Deposit: $1,000+ recommended
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Leverage: 1:500 optimal
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Risk Mode: Configurable with presets
Royal Hedge Fund EA V3.0 brings institutional-grade trading to your desktop, blending speed, strategy, and safety. Perfect for traders seeking an elite-level, hands-free trading experience in index markets.
