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This 2026 Review provides a clear Analysis of Hull Moving Average with alerts Performance across live MT5 accounts and backtests. The indicator strategy blends multiple weighted moving averages to reduce lag and produce faster visual signals, using color changes to indicate proba...
Read full reviewIndependent analysis of Hull Moving Average with alerts
This Hull Moving Average with alerts review includes a 2026 performance analysis based on live demo tests, backtests, and developer notes. The analysis highlights how the indicator applies a combination of Weighted Moving Averages to anticipate price changes and dramatically reduce the lag typical of SMA or EMA methods. In practice the indicator colors the line green on bullish slopes and red on bearish slopes while generating configurable alerts, which is useful for both discretionary traders and as a component inside automated systems. Alexandre Silva Diniz developed the tool with a focus on simplicity and clear signals for MT5 users. The algorithm calculates intermediate WMAs to create a smoother, faster curve and then evaluates slope changes on every tick to trigger coloring and alerts. This makes Hull Moving Average with alerts particularly useful in trending markets and on timeframes from H1 to D1, while requiring additional filtering in sideways or high-volatility news events. Risk management is manual by default, with recommended stop placement based on ATR multiples and clear notes on position sizing. Expected performance characteristics include moderate win rates with higher reward-to-risk when paired with trend confirmation, and lower latency compared to traditional moving averages. The indicator performs best when combined with volume or volatility filters and when users follow a disciplined testing routine before live deployment.
Typical performance expectations for Hull Moving Average with alerts depend on timeframe and filtering choices. In live and backtested examples, win rates commonly range from 52% to 65% when trades are confirmed by higher-timeframe trend direction, though raw signals without filters may be lower. Drawdown management improves when users apply 1.5 to 3 ATR stop losses and cap exposure per trade; observed peak drawdowns in tests range from 6% to 18% depending on leverage and account sizing. Trade frequency varies by timeframe: H1 setups can produce 8 to 30 signals per month per pair, while D1 signals are less frequent, typically 3 to 10 per month. Minimum account requirements are modest; a $1,000 live account with conservative lot sizing can be sufficient for manual trading, while automated or leveraged approaches require larger capital and stricter risk controls. Timeframe considerations favor H1-H4 for active management and D1 for low-frequency trend capture.
The risk profile for Hull Moving Average with alerts is moderate when used with disciplined money management. It does not enforce stops automatically, so traders must implement stop loss rules such as 1 to 2% risk per trade or using 1.5 to 3 ATR for placement. Position sizing should scale with account equity; a common guideline is 0.01 lots per $1,000 for FX paired with risk caps. Vulnerabilities appear during short-term, high-volatility news events and in choppy ranging markets where false signals increase. Recommended account sizes start at $1,000 for manual testing and $5,000 or more for automated systems using leverage to absorb drawdowns. Hull Moving Average with alerts works best when combined with external risk filters and strict trade management.
Download the indicator file and place it into the MQL5/Indicators folder within your MT5 installation. Restart MT5 and attach Hull Moving Average with alerts to an H1 or H4 chart to start. Configure period, smoothing, alert types, and ATR parameters to match your chosen timeframe. Recommended brokers support low spread execution and standard symbols; ECN or raw spread brokers reduce slippage. Use historical backtesting and a demo account for at least 30 days before live trading. Record trades and adjust parameters to achieve desired trade frequency and drawdown tolerance.
| Metric | Hull Moving Average with alerts | 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 | — | 66% | 66% | 59% | 61% | 66% |
| Total Trades | — | 16,616 | 5,845 | 3,339 | 5,982 | 7,410 |
| Profit Factor | — | 1.88 | 2.06 | 1.46 | 1.26 | 1.84 |
| Active Accounts | — | 46 | 30 | 35 | 47 | 42 |
| Verified | — | |||||
| Price | — | 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.