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MT4 expert advisor$100 on MQL5by Andri Maulana
What the developer says
Revolutionize Your Trading with Easy scalp Neural Networks Step into the future of algorithmic trading.
Quoted from the listing. We have not tested these claims.
Compiled from its public MQL5 listing. FxRobotEasy has not traded Easy scalp Neural Networks; what these notes say about how it works comes from that listing.
The review uses live-account and backtest samples to compare return, win rate, and drawdown characteristics under realistic execution conditions. Easy scalp Neural Networks stands out by combining a simple moving-average trend backbone with a trained neural network that ranks trade setups and reduces false entries. The algorithm generates signals primarily on higher-liquidity forex pairs, then applies volatility-based position sizing and time filters to exclude news spikes.
The way the algorithm works is straightforward: trend detection, neural scoring, entry execution, and layered risk controls. Easy scalp Neural Networks executes multiple small trades each active session and typically closes within minutes to a few hours. Market conditions best suited to the EA are trending or mildly choppy markets with consistent intraday volatility; it is less efficient in sudden, highly erratic ranges. Risk management is explicit, with fixed stop loss, dynamic lot sizing tied to ATR, and an adjustable maximum daily loss to prevent runaway drawdown. The review includes transparent trading results and practical notes for traders evaluating the EA.
Risk level for Easy scalp Neural Networks is moderate when configured conservatively and becomes aggressive with larger position scaling. The stop loss strategy is fixed per setup with optional ATR-based expansion, and the EA enforces a maximum daily loss to halt trading after repeated adverse moves. Position sizing uses volatility-adjusted lots tied to ATR and user-defined risk percentage of equity to stabilize exposure. Vulnerabilities include large, sudden news-driven moves and very low-liquidity sessions that can widen spreads. Recommended account size is at least $1,000 for micro-lot testing and $5,000 to $10,000 for realistic live deployment to keep drawdown within acceptable limits.
Listed strengths
Worth checking
Install Easy scalp Neural Networks by copying the EA file to the MT4 Experts folder and restarting MT4 so the EA appears in Navigator. Attach the EA to an M1, M5, or M15 chart and enable automated trading. Configure key parameters: risk percent per trade, max daily loss, spread filter, and the neural score threshold. Use brokers with fast execution, low spreads, and no requotes; ECN or STP accounts are recommended. Backtest on at least three years of tick data and run forward tests on a demo or micro account for 30-90 days before full deployment.
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
| Easy scalp Neural Networks | Scalperology AI | |
|---|---|---|
| How you get it | Buy on MQL5 ($100) | Free installer; runs on a demo account first |
| Platform | MT4 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Andri Maulana | FxRobotEasy |
Product data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.