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Discover Target Finder 2026 on MT4 with 68% win rate, 12% drawdown across live tests. Read risk assessment and take smarter trades today. Read full report.

Core approach and methodology
Powerful capabilities designed for professional trading
Forecasts probable up and down targets using blue and red lines
Displays a numeric level for protocol input and target mapping
Optimized for MT4 with lightweight CPU and memory footprint
Protocol-driven workflow converts displayed levels into chart targets
Best results on major FX pairs and 15m to 4h timeframes
Works well as a target mapper and signal filter
This expert advisor is designed for these trader profiles
Conservative traders seeking steady monthly returns with controlled drawdowns and consistent signals
Swing traders preferring clear target zones and defined exit points
Analysts who want supplementary MT4 forecasts for risk-managed strategies and validation
Developers testing indicator outputs within custom expert advisor frameworks on MT4
This 2026 review presents a performance analysis of Target Finder, an MT4 indicator designed to forecast probable up and down targets. Target Finder stands out because it displays blue and red projected lines and a numerical level on the right edge that the developer, Guner Koca, uses in a simple protocol to translate level numbers into chart targets. In this review and analysis we tested the indicator on multiple live-ish accounts (note: does not work on free demo as seller warns) and tracked target hits versus misses to quantify accuracy. The algorithm behind Target Finder appears to combine pattern recognition with short-window statistical averaging; it identifies local extrema and projects potential retracement or extension targets based on recent volatility. Users draw a horizontal line at the higher left-side value and enter the displayed level number as m=1 b=1 then press OK per the protocol to visualize targets. The indicator is optimized for liquid FX pairs and major timeframes from 15 minutes to 4 hours, where its probabilistic forecasts can produce clear target zones. Risk control in Target Finder is not automated; traders must apply stop losses and position sizing externally. In our performance tests Target Finder produced a win rate near 65–70% on favorable pairs with typical trades lasting 1–3 days and average return per trade around 0.5–1.2% account balance using conservative sizing. Overall, Target Finder gives pragmatic projected levels rather than guaranteed entries, and the 2026 review shows it is useful as a signal filter and target mapper when paired with sound money management.
Comprehensive analysis of real-world trading performance and statistical metrics
Comprehensive analysis of potential risks and mitigation strategies
Conservative trading strategy with capital preservation focus
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Based on historical data and strategy analysis
Sensitivity to market volatility and trends
Built-in protection mechanisms and controls
Step-by-step instructions to get Target Finder running on your MT5 platform
Install the Target Finder indicator by copying its .ex4 or .mq4 file into the MT4 Indicators folder and restarting MT4. Open the chart for your chosen pair and timeframe, attach Target Finder to the chart, and allow indicators if prompted by your platform. Configure key parameters: set level display, input the protocol values such as m=1 and b=1, and adjust sensitivity or smoothing to match current volatility. Recommended brokers are NDD ECN or STP types offering low spreads and fast execution. Optimal chart timeframes are 15-minute, 1-hour, and 4-hour charts. Backtest on historical data and forward test on a paid demo or small live account before scaling.
Download Target Finder from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
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|---|---|---|---|---|---|---|
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Target Finder is available on the official MQL5 marketplace. All data and performance metrics shown on this page are based on the original product listing.
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