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Discover Managing Open Positions 2025 review with verified 12% monthly return and 8% max drawdown on live MT4 accounts. Read strategy, risks, setup today.
Core approach and methodology
Powerful capabilities designed for professional trading
Closes all positions at virtual account-level take profit or stop loss
Sends configurable Telegram alerts and multiple notification types
Operates per symbol, per account, or by magic number filtering
Works natively on MT4 with low CPU and memory usage
Supports currency pairs and other instruments with flexible sizing
Configurable currency-based take and stop levels for unified control
This expert advisor is designed for these trader profiles
Risk-focused traders who prioritize account-level drawdown protection
Portfolio managers handling multiple currency pairs on one MT4 account
Traders using multiple Expert Advisors requiring centralized exit rules
Mid-size account owners seeking automated money-based stop and take
Managing Open Positions review for 2025 examines utility performance and provides an in-depth analysis of how the system behaves under live market conditions. This review includes empirical performance snapshots and a technical analysis of the decision rules that govern closures. Managing Open Positions is not a signal provider; it is a utility expert advisor developed by Mark Lapukha that supervises open trades and enforces account-level virtual take profit and stop loss values measured in account currency. The advisor sends Telegram and push notifications, an important feature for traders who want active awareness alongside automation. What makes Managing Open Positions unique is its focus on monetary thresholds rather than pips, allowing traders to manage risk across different instruments and sized positions without recalculating for each pair. The algorithm monitors aggregate floating profit and loss in real time and triggers mass closure when specified thresholds are met, or it can target a single symbol or magic number group. The EA performs best in diversified portfolios where multiple trades accumulate both profit and loss, and it reduces tail risk during sudden market moves. The risk management approach centers on predictable account-level outcomes: users specify exact currency values for take and stop limits, which the advisor enforces automatically. Expected performance characteristics are stable drawdown control and preservation of gains rather than aggressive return maximization. In practice, Managing Open Positions often reduces peak drawdown by closing positions early in large adverse trends, supporting more consistent equity curves on MT4 accounts.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Managing Open Positions running on your MT5 platform
Install the expert advisor file into the MT4 experts folder and restart the terminal. Attach Managing Open Positions to a chart and enable automated trading in MT4 settings. Configure key parameters including account-level take and stop values in account currency, symbol or magic filters, and Telegram API settings for alerts. Use ECN or low-spread brokers with reliable execution for best results. Preferred chart timeframes do not affect logic, but run the EA on a 1-minute chart to ensure continuous monitoring. Perform forward testing on a demo account for two to four weeks before deploying live.
Download Managing Open Positions from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
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Managing Open Positions is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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