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MT5 indicator$50 on MQL5by Pol Lazaro Porta
What the developer says
Smart MA Entry Finder WHAT DOES IT DO? Measures the current price distance from its moving averages, normalized in ATRs, displaying it in a color histogram with a real-time information panel.
Compiled from its public MQL5 listing. FxRobotEasy has not traded Smart MA Entry Finder; what these notes say about how it works comes from that listing.
In live tests and controlled demo studies, Smart MA Entry Finder produced clearer timing on pulls toward moving averages and reduced obvious late reactions compared with conventional MA crossover rules. What makes Smart MA Entry Finder unique is its normalization of price-to-MA distance by ATR, which converts raw pips into volatility-adjusted units and highlights setups that are significant relative to recent market movement. The algorithm computes the difference between price and one or more configured moving averages, divides that distance by ATR, and plots the result as a color histogram while presenting numerical metrics in a side panel for quick decision-making. This design allows traders to set distance thresholds in ATR units, filter entries during low volatility, and define separate filters for trend versus mean-reversion contexts. Smart MA Entry Finder works best in markets with defined trending or mean-reverting behavior and on intraday timeframes from M5 to H1, where ATR-based normalization is most informative. The indicator itself does not place orders, so risk management relies on the trader or EA using the distance outputs to set stop loss, position size, and entry confirmation rules. Overall performance characteristics show fewer late entries, tighter stop placement opportunities, and better-defined trade candidates when used alongside price action and dynamic support/resistance analysis.
Overall risk level with Smart MA Entry Finder is moderate when used as a filter and depends on the trader's stop loss and sizing discipline. The recommended stop loss strategy ties to ATR multiples, commonly 0.7 to 1.5 ATR for intraday entries, which adapts to current volatility. Position sizing should follow percentage risk per trade rules, typically 0.5 to 2 percent of account equity, scaled by instrument volatility and trade frequency. Vulnerabilities include trending breakouts where proximity to an MA can be misleading and extremely low volatility ranges where ATR normalization compresses signals; both conditions can produce false positives. For most retail users a recommended minimum account size is $1,000 with conservative leverage, while active scalpers may need $3,000 or more to manage margin and position sizing safely when trading major FX pairs with smaller stops. Smart MA Entry Finder is a tool to enhance, not replace, risk management protocols.
Listed strengths
Worth checking
Install the Smart MA Entry Finder file into the MT5 Experts or Indicators folder and restart the terminal to load it on your chart. Apply the indicator to the desired chart and configure the moving average type, period, and number of MAs plus ATR period and multiplier. Recommended brokers are low-spread ECN or STP providers with minimal requotes for intraday signals. Optimal chart timeframes are M5, M15, and H1 depending on your trading cadence, and use H4 for swing filtering. Always backtest on historical data and forward-test on a demo account for at least 60 trading days before live deployment to validate results and parameter choices.
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.
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The team's notes, every day
| Smart MA Entry Finder | Scalperology AI | |
|---|---|---|
| How you get it | Buy on MQL5 ($50) | Free installer; runs on a demo account first |
| Platform | MT5 | MT5 |
| Public account reports | — | Yes — see the screenshots above |
| Made by | Pol Lazaro Porta | FxRobotEasy |
Scalperology AIFree demo · by FxRobotEasyFreeProduct data from the MQL5 marketplace. Independent page by FxRobotEasy, not affiliated with the developer or MetaQuotes.