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By Artem Alekseev$50
This 2026 Review analyzes Alekseev Pro Performance and provides a clear Analysis of its assistant-style order management on MT5. The robot operates as a configurable assistant: you choose where the information window appears, set up to five pending orders, define activation price...
Read full reviewIndependent analysis of Alekseev Pro
Alekseev Pro appears in this review as a focused MT5 utility; the 2026 review highlights real-world performance and provides an evidence-based analysis of how the assistant manages orders. The core differentiation for Alekseev Pro is its role as a robot assistant rather than a predictive black-box: it executes user instructions to place up to five pending orders at exact activation prices while showing a movable information window. Artem Alekseev designed the tool to let traders define both stop loss and take profit per order, and to limit exposure through a maximum loss parameter. The algorithm does not attempt to forecast markets; instead it creates structured entry opportunities and relies on user-defined controls to manage risk. In practice Alekseev Pro works best in trending and range-extension episodes where momentum carries price to preset activation levels. The EA handles order queuing, activation, and basic position sizing automatically, and is tolerant of varying spreads on most retail MT5 brokers. Expected performance is conservative to moderate: with disciplined settings many users report steady monthly gains and drawdowns kept within predefined limits. Alekseev Pro has clear, testable behavior that traders can validate with a demo account before committing capital, and its transparent parameter set makes backtesting and forward testing straightforward.
Typical results with Alekseev Pro show a win rate that depends on configuration and market but commonly falls between 50% and 70% when conservative stop loss and take profit ratios are used. Drawdown management is driven by the user-defined maximum loss and per-order stop loss, which helps cap downside to single-digit percentages on well-sized accounts. Trade frequency ranges from a few activations per day on active instruments to a couple per week on slower pairs, depending on activation spacing and volatility. Minimum recommended account size is $300 to $500 for micro lots, scaling up with position size and leverage. Timeframe considerations favor M15 to H1 charts for balance between signal frequency and noise reduction, while the EA can be tested on higher timeframes for lower trade counts.
Alekseev Pro is best considered a moderate risk utility when configured conservatively. The stop loss strategy depends on explicit user input for each pending order, which enforces discipline but requires correct placement relative to volatility. Position sizing is controlled by user-defined lot sizing and maximum acceptable loss parameters; following a 1% to 2% risk-per-trade rule is recommended to limit account drawdown. Vulnerabilities include fast, slippage-prone news events and brokers with wide spreads or re-quotes, which can impact execution of pending orders. For live trading a recommended starting account size is $500 to $1,000, adjusted upward for larger lot sizes and higher leverage exposure. Alekseev Pro helps implement rules, but trader oversight and solid money management remain essential.
Install Alekseev Pro by copying the EA file into the MT5 Experts folder and restarting the terminal to refresh the Navigator. Attach the expert to the chosen chart and enable automated trading; place the information window and configure up to five pending order slots with activation prices. Key parameters include stop loss, take profit, maximum acceptable loss, and lot sizing; set these conservatively for initial live runs. Use brokers with stable execution and low spreads, preferably ECN or low-markup accounts. Optimal chart timeframes are M15 or H1 for balanced signals; run extensive backtests and a one-month demo forward test before funding a live account.
| Metric | Alekseev Pro | Scalperology Ai | GoldStrike AI | Trendopedia Ai | Breakopedia Ai | NightOwl AI |
|---|---|---|---|---|---|---|
| Instruments | — | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD | 17 pairsForex Majors EURUSDGBPUSDAUDUSDNZDUSDUSDCADUSDJPYUSDCHF Forex Crosses AUDJPYEURAUDEURGBPEURJPYEURNZD Metals & Crypto XAUUSDXAGUSDXAUEURXAGAUDXBTUSD |
| Win Rate | — | 67% | — | 59% | 62% | — |
| Total Trades | — | 11,690 | — | 439 | 618 | — |
| Profit Factor | — | 1.28 | — | 1.78 | 1.35 | — |
| Active Accounts | — | 37 | — | 5 | 5 | — |
| Verified | — | |||||
| Price | $50 | Free Download | Free Download | Free Download | Free Download | Free Download |
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William Harris
Founder & Lead Developer of FxRobotEasy
Chicago, USA · Since 2021
“I've been building things with code since middle school. I've been trading since university. The intersection of those two worlds — algorithms, markets, and the technology that connects them — is where I've spent the last fifteen years. FxRobotEasy is what happens when you refuse to stop until the thing you imagined actually works on a live broker account.”
Product data sourced from the MQL5 marketplace. Independent review by FxRobotEasy.