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MT5 expert advisor$199 on MQL5by Mate Patrik Toth
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded Magister Mentis MT5; what these notes say about how it works comes from that listing.
This Magister Mentis MT5 review for 2026 examines performance and provides a technical analysis of live and backtested results. Magister Mentis MT5 stands out because it is a structured machine learning trading system built on an institutional XGBoost architecture that is exported to ONNX and executed natively inside MetaTrader 5. The developer designed the system around probabilistic decision modeling and regime detection rather than stacking indicators or using high-risk techniques such as martingale or grid trading. The review compares in-sample training results to out-of-sample backtests and monitored live accounts to identify slippage and execution differences.
The algorithm combines multiple submodels into an ensemble, scoring trade opportunities based on probability thresholds and regime classification. Magister Mentis MT5 filters trades during low-probability regimes and tightens exposure when volatility rises, which contributes to its disciplined capital protection. In practice, the EA performs best in trending to mildly choppy forex sessions and is less effective during extremely high volatility news events. Risk management is handled through fixed maximum drawdown limits, dynamic position sizing tied to account equity, and per-trade stop guidance. Expected performance characteristics include moderate monthly returns with low-to-moderate drawdowns when run with recommended risk parameters.
Risk level for Magister Mentis MT5 is moderate when configured with recommended parameters and conservative leverage. The EA uses a stop loss strategy tied to model probability and regime detection, placing stops that reflect current volatility rather than fixed pip distances. Position sizing follows a risk-per-trade approach based on account equity, often recommending 0.5 to 2 percent risk per trade for typical accounts. Vulnerabilities include exposure to sudden news spikes and illiquid market conditions where stop placement can be problematic. Recommended account size for meaningful results is at least $5,000 using a reputable MT5 broker to ensure spreads and execution are consistent with testing conditions.
Listed strengths
Worth checking
Install Magister Mentis MT5 by copying the provided ONNX and EA files into your MT5 Experts and Libraries folders and restarting the terminal. Attach the expert advisor to the recommended chart and enable automated trading and DLL imports if prompted by your platform. Configure key parameters such as account risk percentage, trade maximums, allowed instruments, and model probability threshold before going live. Use ECN or low-spread brokers with stable execution and set charts to the suggested M15 and H1 timeframes. Run a forward test on a demo account and a one-month live pilot with small risk to validate real-world execution before scaling.
Free to try · from FxRobotEasy
Our robots at work. Tap a tile to watch or enlarge it — each screenshot links to its account’s public report.
Scalperology AIby FxRobotEasy
Our multi-pair AI scalper — majors, gold and crypto
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The team's notes, every day
| Magister Mentis MT5 | Scalperology AI | |
|---|---|---|
| How you get it | Buy on MQL5 ($199) | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Mate Patrik Toth | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.