Shooting Star pattern mg (MT4) — review, price and free alternatives

The author, DMITRII GRIDASOV, designed the indicator as a no-repaint, no-delay detector that highlights bearish reversal candidates with a red arrow and supports PC, mobile, and email notifications.

The algorithm scans candle structure rules and filters out formations that fail size and wick proportion thresholds, reducing noise on low timeframes. In practice the indicator works best on H1 and H4 charts where the pattern significance increases; it produces moderate trade frequency, focusing on quality entries rather than volume.

Risk management is built around clear guidelines: place stop loss beyond the pattern high, use position sizing that risks 0.5 to 1.5 percent per trade, and avoid deploying signals during strong countertrend rallies. Expected performance characteristics include conservative win rates with controlled drawdowns when combined with S&R confirmation, and variable trade counts depending on market volatility.

The primary stop loss strategy places the stop just above the pattern high, which creates a clear invalidation point for the setup. Position sizing should follow a fixed percentage model, typically between 0.5 and 1.5 percent risk per trade, to limit exposure on losing streaks. Vulnerabilities include prolonged trending moves and choppy low-volatility ranges where false signals increase; pairing signals with support and resistance reduces this sensitivity. Recommended minimum account size for live use is $1,000 for experimental testing and $5,000 for consistent sizing aligned with conservative risk parameters.

Configure key parameters such as sensitivity, confirmation filter level, alert preferences, and maximum trades per symbol. Use ECN or STP brokers with low spreads for better entry accuracy, and enable hedging if your broker supports it. Optimal chart timeframes are H1 and H4 for balance between signal quality and frequency. Begin with strategy tester backtests, then demo forward testing for 4–8 weeks before any live deployment.