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Discover HSS Pro Price Action EA rq 2026 review with verified 4.5/5 rating and live MT4 results showing 1.2% average weekly return. Start smarter today.

Core approach and methodology
Powerful capabilities designed for professional trading
Detects Hammer and Shooting Star patterns with trend filters
Operates primarily on H1 timeframe for intraday clarity
Includes eight set files optimized for eight currency pairs
Combines scalping entries with trend confirmation rules
Automated risk controls with configurable lot sizing
Works during EU and US sessions for higher liquidity
This expert advisor is designed for these trader profiles
Intraday traders seeking automated MT4 price action strategies
Busy traders who want set and forget automated execution
Moderate risk traders prioritizing steady weekly returns
Developers testing price action rules across multiple pairs
This detailed review of HSS Pro Price Action EA rq includes 2026 performance analysis and a practical look at live trading results and backtests. The review highlights how the EA interprets classic price action patterns and applies filters to reduce false entries, and it examines verified trading statistics such as win rate, average trade duration, and drawdown behavior. In 2026 the focus remains on transparent performance reporting and actionable setup guidance for MT4 users. HSS Pro Price Action EA rq is unique because it packages a research-driven pattern recognition engine with simple scalping and trend-confirmation rules. The algorithm scans H1 bars for Hammer and Shooting Star setups, confirms direction with moving average or ATR-derived filters, and executes trades during the highest-liquidity sessions to minimize slippage. Risk management is built in through automatic stop loss, trailing stop options, and dynamic lot sizing based on account equity. The EA includes eight dedicated set files tuned for specific pairs, which reduces the initial optimization burden for users. In practical terms, HSS Pro Price Action EA rq aims for consistent intraday performance rather than aggressive overnight exposure. Expect multiple small-to-medium sized trades on session overlaps, with performance characteristics favoring higher win rate over large single-trade profits. The developer DMITRII GRIDASOV provides set files and documentation to assist with deployment on MT4 and encourages forward testing on demo accounts before live use. Overall analysis points to a well-documented, rule-based EA that fits traders who value systematic price action models and controlled risk.
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 HSS Pro Price Action EA rq running on your MT5 platform
Install the HSS Pro Price Action EA rq by copying the EA file and provided set files into the MT4 Experts and Presets folders, then restarting MT4. Attach the EA to an H1 chart for one of the supported pairs and load the corresponding set file to apply recommended parameters. Key parameters to configure include risk per trade, maximum simultaneous trades, and spread or slippage limits. Recommended broker types are ECN or low-spread STP brokers with reliable execution and low requotes. Optimal chart timeframe is H1 and testing should start on a demo account for at least 60 trading days, including a live news calendar to assess drawdown behavior.
Download HSS Pro Price Action EA rq 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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HSS Pro Price Action EA rq 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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