PortQuant: Automated MT5 portfolio manager for optimized EA risk and returns

This PortQuant: 2026 Performance review provides a practical analysis of the EA portfolio manager and how its performance metrics translate to live accounts. The review looks at realized returns, drawdown patterns, and the rebalancing logic to determine if PortQuant can reliably improve portfolio efficiency when used with multiple MT5 expert advisors. The analysis includes sample trade logs, correlation matrices, and a clear look at how arvadis GmbH designed the system for closed beta distribution with external subscription control. What makes PortQuant unique is its role as a meta-layer that does not replace individual EAs but manages their capital and interactions. The algorithm continuously evaluates volatility and pairwise correlations, reducing allocations to behaviors that increase portfolio risk while boosting capital to complementary, lower-volatility strategies. PortQuant runs as an MT5 utility, reading EA performance metrics, applying volatility-adjusted position sizing, and executing rebalances on configurable intervals. Through these mechanics, the tool seeks to smooth returns and lower aggregate drawdown without changing underlying strategy code. In practical terms, PortQuant handles trending and range markets by dynamically shifting exposure; it prefers diversification across non-correlated EAs and limits leverage spikes during high-impact news. The expected performance characteristics include modest monthly gains with lower month-to-month volatility compared with unmanaged EA groups. arvadis GmbH provides configuration guidance during the beta, and the platform-level integration with MT5 makes deployment straightforward for experienced users.