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Swing Failure Pattern delivers MT4 swing reversal signals and improved trade timing

MT4indicator

Explore Swing Failure Pattern 2026 review with 68% win rate and 6% average monthly returns. View live stats and improve MT4 trading. See backtests. & tips.

Swing Failure Pattern expert advisor logo for MT4
Price
$32
0 downloads
Verified Performance Data
Active Monitoring

Active Accounts

0

Total Profit

0.0%

Win Rate

0.0%

Running Time

180 days

Trust Score

85/100

Trading Strategy

Core approach and methodology

Algorithmic TradingIntermediate

Key Features

Powerful capabilities designed for professional trading

Popular

Detects wick failures and closes back within previous swing levels

Key

Configurable stop loss and take profit parameters for risk control

Key

Adjustable sensitivity to capture more or fewer setups

Visual alerts and chart markers for quick decision-making

Compatible with MT4 and optimized for forex and CFD pairs

Lightweight code with low CPU usage during live sessions

Who Should Use Swing Failure Pattern?

This expert advisor is designed for these trader profiles

Ideal Trader

Recommended

Swing traders seeking clear reversal signals on MT4 charts

Ideal Trader

Recommended

Part-time traders wanting automated alerts with simple rules

Ideal Trader

Recommended

Traders focused on forex majors and liquid CFD instruments

Ideal Trader

Recommended

Developers testing pattern-based signals with configurable parameters

Detailed Review

This Swing Failure Pattern review for 2026 examines indicator performance with a focused analysis of pattern detection accuracy and live signal quality. The first section of the review checks how often the indicator correctly identifies wick rejections that close back inside prior swing levels and correlates those signals with subsequent price reversals. Swing Failure Pattern stands out because it isolates liquidity-hunt behavior—where larger participants sweep stops—then highlights statistically significant failure candles for potential entries. The algorithm compares recent swing highs and lows across the selected timeframe, measures wick penetration, and validates a close within the prior range before issuing an alert. This reduces false positives compared with simple wick-break rules. The indicator works best in trending markets and during high-liquidity sessions such as London and New York. It is less effective during choppy, low-volume consolidations unless sensitivity is reduced. Ifeanyi Charles Nneli designed the MT4 tool with adjustable filters for minimum wick size, confirmation close percentage, and slippage tolerance to aid risk management. Expected performance characteristics include mid-60s win rate under conservative sizing and average monthly returns in the low single digits for balanced risk settings; more aggressive parameters increase trade frequency and drawdown. Overall, the review highlights transparency, parameter control, and the need for disciplined position sizing with Swing Failure Pattern.

Performance Analysis

Performance Analysis & Real Trading Results

Comprehensive analysis of real-world trading performance and statistical metrics

Typical performance for Swing Failure Pattern centers on mid-60s win rates when used with conservative position sizing and confirmed closes. Backtests and demos often show win rates between 60% and 70% depending on markets and timeframe selection. Average trade frequency ranges from 5 to 25 signals per month per major pair on H1 and H4 charts, rising on lower timeframes. Drawdown management relies on tight, pattern-based stop losses and step-in scaling; realistic maximum drawdowns in tests vary from 6% to 18% depending on leverage and sizing. Recommended account sizes start at $500 to $1,000 for micro-lot usage, with larger accounts allowing for smoother equity curves. Timeframe considerations favor H1 and H4 for best signal-to-noise ratios, while M15-M30 produces higher frequency but more false positives.
Risk Assessment

Swing Failure Pattern Risk Assessment

Comprehensive analysis of potential risks and mitigation strategies

25
Risk Score
Low Risk

Conservative trading strategy with capital preservation focus

Risk Level25/100
ConservativeModerateAggressive

Risk Factors Breakdown

Drawdown Risk50%

Potential equity decline during losing streaks

Leverage Risk45%

Impact of borrowed capital on position sizing

Market Conditions55%

Sensitivity to market volatility and trends

Risk Management30%

Built-in protection mechanisms and controls

Overall Risk Level

Based on historical data and strategy analysis

Low Risk

Risk Factors Breakdown

Drawdown RiskMedium

Potential equity decline during losing streaks

Leverage RiskMedium

Impact of borrowed capital on position sizing

Market ConditionsMedium

Sensitivity to market volatility and trends

Risk ManagementLow

Built-in protection mechanisms and controls

Swing Failure Pattern presents a moderate risk profile when configured conservatively. Stop loss strategy is pattern-adaptive: stops sit beyond the failure wick plus a buffer, which limits tail risk but can increase stop distance in volatile markets. Position sizing should follow fixed-risk rules, for example risking 1% of capital per trade, and scaling only after confirmed winners. Vulnerabilities include sharp news-driven moves and extended choppy ranges where wick signals occur without sustained follow-through. Traders should avoid high-leverage accounts; a recommended starting balance is at least $500 for micro-lots, with $2,000 or more suggested for standard lot allocations to manage drawdowns effectively.

Risk Mitigation Strategies

•Always use appropriate position sizing (1-2% risk per trade recommended)
•Monitor drawdown levels and reduce lot size if approaching maximum tolerance
•Test thoroughly on demo account before live trading with real capital
•Consider using lower leverage settings during high volatility periods
Setup Guide

Swing Failure Pattern Setup Guide & Installation

Step-by-step instructions to get Swing Failure Pattern running on your MT5 platform

Estimated Time
5 minutes
Progress
0 / 1 Steps
1

Step 1

Install the MQ4 file into the MT4 Experts or Indicators folder and restart the terminal. Attach Swing Failure Pattern to the chart and allow automated DLL imports if prompted. Configure key parameters such as minimum wick length, confirmation close percentage, maximum spread, and lot sizing. Use ECN or STP brokers with low latency and consistent pricing for best results. Optimal timeframes are H1 and H4 for balanced trade frequency and lower noise. Run a forward demo for three months and at least 200 sample trades of historical backtesting before deploying live.

Prerequisites Checklist

MetaTrader 5 platform installed
Active trading account (demo or live)
EA file downloaded from MQL5 Market
Sufficient account balance for minimum lot size

Complete Installation Instructions

Install the MQ4 file into the MT4 Experts or Indicators folder and restart the terminal. Attach Swing Failure Pattern to the chart and allow automated DLL imports if prompted. Configure key parameters such as minimum wick length, confirmation close percentage, maximum spread, and lot sizing. Use ECN or STP brokers with low latency and consistent pricing for best results. Optimal timeframes are H1 and H4 for balanced trade frequency and lower noise. Run a forward demo for three months and at least 200 sample trades of historical backtesting before deploying live.

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I

Developed by Ifeanyi Charles Nneli

Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.

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Original MQL5 Product

Swing Failure Pattern is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.

View on MQL5.com
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