Liquidity Vacuum Scalper AI
- Experts
- 버전: 1.0
- 활성화: 5
Liquidity Vacuum Scalper AI is a high-performance automated trading system powered by an in-EA Adaptive Neural Meta-Controller (Reinforcement Learning).
Engineered exclusively for Gold (XAUUSD), the system is built to detect institutional liquidity imbalances and rapid momentum surges. Operating with microsecond-level execution, the algorithm captures clean, high-velocity price impulses while proactively filtering out toxic market conditions.
★ HIGHLIGHTS & SAFETY:
• NO Martingale, NO Grid, NO Averaging: Every position is strictly secured with a hard Stop Loss.
• Proprietary AI Engine: In-EA self-learning neural framework that continuously evaluates real-time market quality and adapts execution parameters dynamically.
• Adaptive Capital Protection: Intelligent break-even mechanism and trailing architecture designed to lock in gains quickly while letting winning runners breathe.
• Zero-Delay Architecture: Highly optimized native code ensures instantaneous reaction to volatile market events without external dependencies.
• Built-in Risk Safeguards: Integrated daily loss circuit-breaker and spread-friction filters.
★ TRADING REQUIREMENTS:
• Symbol: XAUUSD (Gold)
• Timeframe: M15 (The EA processes raw incoming ticks directly)
• Minimum Deposit: $100 (Recommended: $200 - $500 per 0.01 lot)
• Broker Type: Raw Spread, ECN, or Low-Spread accounts
• Recommended: Low-latency VPS for microsecond execution
★ USER PARAMETERS:
• Lots: Trading volume (0.01 per $200-$500 balance recommended).
• EnableRLController: Toggle the Adaptive AI Meta-Controller (Default: true).
• EnableOnlineLearning: Allow real-time continuous self-learning on your terminal (Default: true).
• MaxSpreadPoints: Maximum allowable spread to prevent entry in illiquid conditions.
• DailyLossMoney: Equity safety switch for daily loss protection.
Note: All core velocity, compression, and impulse metrics are pre-calibrated and permanently optimized inside the proprietary engine. Plug and play — no complicated tuning required.
