Zenith Cci Matrix Ea
- Experts
-
Phami Nhat Anh
Welcome to my profile! My mission is to make professional algorithmic trading accessible to everyone, from beginners to experienced traders. I believe that a great trading bot must not only be profitable but also easy to use and reliable.
Why choose my solutions? - 버전: 1.0
- 활성화: 10
Zenith CCI Matrix EA - Technical Description
Zenith CCI Matrix is an automated trading system developed for MetaTrader 5, designed primarily for XAUUSD (Gold) alongside selected major currency pairs. The algorithm utilizes a multi-period Commodity Channel Index (CCI) matrix to analyze momentum shifts and identify potential mean-reversion and correction levels.
Strategy & Algorithm Overview
-
Multi-Dimensional CCI Filter: Evaluates multiple CCI periods simultaneously to identify overbought and oversold conditions across defined market cycles.
-
Trade Management: Executes entries during short-term market corrections with integrated position management, take profit, stop loss, and dynamic trailing options.
-
Customizable Risk Settings: Supports fixed lot sizing or dynamic percentage-based risk calculation per order.
Specifications & Recommendations
-
Primary Symbol: XAUUSD (Gold)
-
Secondary Symbols: EURUSD, USDJPY
-
Recommended Timeframes: M5, M15, H1, H4
-
Account Requirements: ECN, Raw Spread, or Low Spread broker accounts are recommended for accurate execution on lower timeframes.
-
Execution: Low-latency VPS is recommended for continuous automated trading.
-
Minimum Capital: $1,000 or equivalent currency balance for conservative risk parameters.
Main Parameters & Inputs
-
Lot Management : Fixed lot or percentage risk per trade.
-
CCI Matrix Settings : Period thresholds, calculation methods, and overbought/oversold levels.
-
Stop Loss / Take Profit : Defined in points/pips.
-
Trailing Stop : Trailing start, step, and profit locking thresholds.
-
Session Filter : Trading schedule configuration.
-
Magic Number : Unique identifier for EA trade management.
Risk Disclaimer Automated trading in financial markets involves significant risk of capital loss. Past performance on historical data does not guarantee future results. Please test the system thoroughly on a demo account before live deployment.
