Xau Machine Scalper
- Uzmanlar
- Sürüm: 1.0
- Etkinleştirmeler: 5
🤖 XAU MACHINE SCALPER — Institutional Scalping EA for XAUUSD
Xau Machine Scalper is an algorithmic system designed to trade Gold (XAUUSD) on the M30 timeframe, focusing on identifying institutional accumulation/distribution zones and capitalizing on them with machine-like precision. It combines machine learning classifiers with advanced market structure analysis to detect where "big money" is positioning itself. 🏛️
🧠 Machine Learning Core
N-BEATS Forecast Engine 📈 — Trend and seasonality decomposition for price projection
Multi-Head Attention Transformer 🔮 — 8 attention heads evaluating directional probability
Supply & Demand Zones + Random Forest 🌲 — Detects supply/demand zones originating from explosive moves and classifies them by probability of success (strength, freshness, number of touches, relative ATR) — the EA's flagship engine
Accumulation/Distribution SVM Classifier 📐 — Feature vector (range compression, position within context range, relative volume, prior momentum) classified via SVM hyperplane to identify bullish/bearish bias zones
🎯 Execution Engine
Grid Trading on SVM zones 🕸️ — Scales entries within high-probability zones using a progressive lot multiplier, with SL/TP levels projected from zone boundaries
✅ Pin Bars, FVGs, and breakouts with retest confirmation
✅ Pullback system based on EMA + Fibonacci (bounces and 1.618 extension)
✅ Maximum spread filter to avoid execution under unfavorable conditions
🛡️ Risk Management
Conservative base lot size (0.01), scalable based on % of balance or dynamic equity
Daily loss limit, control of simultaneous positions, and maximum volume per grid zone
Automatic Trailing Stop and Break-Even
⚙️ Recommended Specifications
Parameter Value
💱 Pair XAUUSD (Gold)
⏱️ Timeframe M30
💰 Recommended Capital From $500 USD
📦 Suggested Lot Size 0.01 – 0.10
🏦 Recommended Broker IC Markets
🎯 Who is this EA for? Ideal for traders looking to trade Gold using institutional logic: supply/demand zones validated by ML, SVM-based accumulation/distribution classification, and grid-style staggered entries within those zones. A more analytical and structural approach compared to pure scalping. 🥇
