Quantora Rena XAU Scalper
- 专家
- 版本: 1.22
- 更新: 4 十月 2026
- 激活: 20
Quantora Rena XAU Scalper
Quantora Rena XAU Scalper is a MetaTrader 5 Expert Advisor designed for automated XAUUSD trading through pending order execution.
For a limited time, the EA is available at a promotional price with a 50% discount. The promotional price may change after the offer period ends.
Overview
The EA analyzes recent price movement and places Buy Stop and Sell Stop orders around calculated price levels. When an order is triggered, the resulting position is managed automatically according to the configured Stop Loss, Take Profit, and Trailing Stop parameters.
The system is designed to respond to price breakouts using its internal calculation logic. A breakout does not guarantee a particular market outcome.
Core Functionality
- Pending Buy Stop and Sell Stop order placement
- Automatic breakout condition detection
- Stop Loss and Take Profit management
- Trailing Stop functionality
- Automatic pending order expiration
- Fixed lot size or risk percentage configuration
- Magic Number support
Operating Conditions
- Platform: MetaTrader 5
- Primary symbol: XAUUSD
- Recommended timeframe: M3
The EA may also be used with other symbols, depending on broker specifications and user configuration. Settings should be evaluated separately for each instrument.
Input Parameters
- Lot Size
- Risk Percentage
- Order Distance
- Stop Loss
- Take Profit
- Trailing Stop
- Trailing Trigger
- Expiration Time
- Magic Number
Automated Trading
Quantora Rena XAU Scalper is an automated trading tool. It can place pending orders and open, modify, or close trading positions according to its internal logic and configured parameters.
Risk Notice
Trading leveraged financial instruments involves a risk of loss. The EA does not guarantee profitability or specific trading results. Actual performance may vary depending on market conditions, broker execution, spreads, slippage, and user settings.
Testing on a demo account is recommended before using the EA in a live trading environment.

