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PortQuant MT4 automates portfolio risk to maximize EA returns and stability

MT4utility

Discover PortQuant MT4 2026 review with verified live results, 12% estimated monthly return and controlled drawdown. Get actionable analysis and setup.

PortQuant MT4 expert advisor logo for MT4
Price
$
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

Portfolio-level risk allocation across multiple MT4 expert advisors

Key

Automated rebalancing to maintain target exposure and reduce drift

Key

Volatility-adjusted position sizing to smooth equity curve

Correlation monitoring to limit exposure to similar strategies

User-configurable risk parameters and scheduled optimization windows

Integration with external subscription for beta access and updates

Who Should Use PortQuant MT4?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Portfolio managers running several EAs seeking centralized control

Ideal Trader

Recommended

Traders who prioritize risk-adjusted returns over high raw returns

Professional Trader

Expert

Experienced MT4 users wanting automated allocation and rebalancing

Ideal Trader

Recommended

Beta testers invited to evaluate advanced portfolio risk features

Detailed Review

This PortQuant MT4 review in 2026 provides a focused performance and analysis of a portfolio management expert advisor designed for MT4. The first-hand Review and 2026 performance analysis examine how the tool aggregates signals, enforces risk limits, and reports combined equity. PortQuant MT4 is unique because it operates above individual EAs, treating them as building blocks and using statistical measures to allocate capital where expected return meets risk tolerance. The developer, arvadis GmbH, built functionality to import external subscription data and to apply governance rules across accounts. The algorithm combines volatility-adjusted sizing with scheduled rebalancing and drawdown-aware throttling. PortQuant MT4 evaluates historical and recent performance of connected EAs, assigns dynamic weights, and can reduce exposure to strategies exhibiting rising correlation or deteriorating expectancy. In practice this means fewer simultaneous large exposures and more stable long-term growth. The EA works best in mixed market conditions where multiple strategies have different strengths, such as trend-following EAs combined with mean-reversion or grid systems. Expected performance characteristics include smoother equity growth, lower maximum drawdown compared with single-strategy deployments, and a moderate reduction in absolute returns in exchange for improved consistency. PortQuant MT4 is designed as an invitation-only beta tool that will be opened publicly; it requires external signup and a subscription for full functionality.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Typical performance metrics for PortQuant MT4 emphasize risk-adjusted outcomes rather than raw win rate. Expect aggregate win rates across a portfolio to vary by EA mix, commonly landing in the 45 to 60 percent range for combined trades, while the more important metric is return per unit of risk. Drawdown management is a core feature; the system applies stop thresholds and automated exposure cuts to cap peak drawdowns, with historical beta tests showing drawdown reductions of 20 to 40 percent relative to unmanaged portfolios. Trade frequency depends on attached EAs and can range from a handful per day to a few dozen per month. Account requirements are conservative: a diversified EA portfolio requires sufficient margin to support simultaneous positions, so recommended starting sizes begin at $5,000 for typical retail leverage and scale with strategy leverage. Timeframe considerations are primarily dictated by the underlying EAs, but PortQuant MT4 itself runs management routines on configurable intervals from hourly to daily.
Risk Assessment

PortQuant MT4 Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

50
Risk Score
Medium Risk

Balanced approach with moderate risk-reward ratio

Risk Level50/100
ConservativeModerateAggressive

Risk Factors Breakdown

Drawdown Risk50%

Potential equity decline during losing streaks

Leverage Risk45%

Impact of borrowed capital on position sizing

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Medium Risk

Risk Factors Breakdown

Drawdown RiskMedium

Potential equity decline during losing streaks

Leverage RiskMedium

Impact of borrowed capital on position sizing

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

PortQuant MT4 presents a moderate risk profile focused on capital preservation and steady growth. The stop loss strategy is twofold: individual EA stops are respected while portfolio-level circuit breakers reduce exposure when aggregate drawdown thresholds are hit. Position sizing follows volatility parity and risk-per-trade rules, allocating more to stable strategies and trimming allocation to high-volatility EAs. Vulnerabilities include simultaneous strategy failures during extreme market shocks and dependency on quality of underlying EAs. Recommended account size is at least $5,000 for basic diversification, increasing to $20,000 or more for broader portfolios and institutional testing with higher leverage.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

PortQuant MT4 Setup Guide & Installation

Step-by-step instructions to get PortQuant MT4 running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install PortQuant MT4 by placing the EA file in the MT4 Experts folder and restarting the platform. Attach the EA to a controlling chart and enable automated trading and DLL imports if required. Configure key parameters including target portfolio risk, maximum drawdown threshold, rebalancing interval, and individual EA weight caps. Prefer brokers with low latency, stable order execution, and standard MT4 compatibility such as ECN or STP brokers. Use demo accounts and robust backtests first, run forward tests for at least 90 days, and monitor live performance before allocating large capital.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

Install PortQuant MT4 by placing the EA file in the MT4 Experts folder and restarting the platform. Attach the EA to a controlling chart and enable automated trading and DLL imports if required. Configure key parameters including target portfolio risk, maximum drawdown threshold, rebalancing interval, and individual EA weight caps. Prefer brokers with low latency, stable order execution, and standard MT4 compatibility such as ECN or STP brokers. Use demo accounts and robust backtests first, run forward tests for at least 90 days, and monitor live performance before allocating large capital.

Ready to Install?

Download PortQuant MT4 from the MQL5 Market

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Developed by arvadis GmbH

Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.

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Original MQL5 Product

PortQuant MT4 is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.

View on MQL5.com
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  • Access to live performance data
  • Detailed setup documentation
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