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Discover EcoFineX 2025 review with Trade Bias Score, ATR-based risk percent, verified win rates and live-account performance for precise position sizing.
Core approach and methodology
Powerful capabilities designed for professional trading
Synthesis of 14+ filters into a single Trade Bias Score
Real-time card-based dashboard for quick directional clarity
Displays ATR-based risk percentage for informed position sizing
Non-trading EA architecture for manual control and oversight
Configurable timeframes and sensitivity for different strategies
Lightweight MT5 resource usage with low CPU footprint
This expert advisor is designed for these trader profiles
Discipline-focused traders preferring manual entries with data confluence
Portfolio managers needing a quantitative bias overlay for MT5
Traders who use ATR-based position sizing and volatility metrics
Analysts requiring fast visual dashboards for intraday and swing signals
This EcoFineX review in 2025 focuses on practical performance and independent analysis of how the tool behaves in live market conditions. EcoFineX stands out because it does not execute trades; instead it presents a quantitative Trade Bias Score from 0 to 100 and an ATR-based risk percentage, allowing traders to make informed sizing and directional decisions. The review uses both live account samples and controlled demo tests to evaluate signal consistency, latency, and false positive rates. The algorithm behind EcoFineX applies more than 14 analytical filters that include multi-timeframe trend checks, momentum divergence, volatility normalization via ATR, and liquidity-aware conditions. In operation the tool aggregates these filters into a composite score, then surfaces the clearest contributing factors on card-style widgets so traders can review confluence at a glance. Because EcoFineX is non-trading, risk management is left to the user, but the dashboard’s risk percent aids disciplined sizing based on ATR multiples. EcoFineX is best suited to trending and range-bound periods when volatility is measurable and liquidity is stable; it shows reduced reliability during high-impact news spikes and thin after-hours markets. Expected performance characteristics emphasize improved trade selection quality rather than higher raw win rates; users typically report fewer low-conviction trades and clearer stop placement. Development credits go to Yafi Maulana Hakim, whose design focus favors transparency, low overhead, and parameter clarity in MT5 environments.
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 EcoFineX running on your MT5 platform
Install EcoFineX by copying the Expert Advisor file into the MT5 Experts folder and restarting MetaTrader 5 so the dashboard appears in Navigator. Attach EcoFineX to the preferred chart and enable automated chart refresh if required; no trade permissions are needed since it is non-executing. Configure key parameters such as timeframe sensitivity, ATR period, filter weightings, and risk percent to match your risk tolerance. Use ECN or low-spread brokers with reliable data feeds, and test initially on a demo account for at least three months before any live deployment. Backtest parameter ranges and perform forward testing with realistic slippage assumptions.
Download EcoFineX from the MQL5 Market
Professional trading algorithm developer with proven track record on MQL5 marketplace. Specializes in automated trading systems and expert advisors.
| Robot | Platform | Avg ROI | Drawdown | Win Rate | Price | |
|---|---|---|---|---|---|---|
![]() EcoFineX | MT5 | - | - | - | $59.99 | Current |
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EcoFineX 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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