Overview

This strategy utilizes the reflective properties of Hull Moving Averages (HMA) to determine market trends. The core of the strategy involves calculating the difference between short-term and long-term Hull Moving Averages and using this reflected difference to predict price movements. Through adjustable percentage parameters, the strategy can adapt to different trading timeframes, providing more accurate trend determination signals.

Strategy Principles

The strategy employs two Hull Moving Averages with periods of 36 and 44 as base indicators. It calculates the absolute difference between these two moving averages and applies reflection calculations based on the current trend direction to obtain the reflection value. The strategy also incorporates Weighted Moving Average (WMA) to calculate delta values, using crossovers between delta and reflection values to identify trend turning points. During trend determination, the strategy uses an adjustable correction factor to control trend reversal sensitivity. Trading signals are generated when prices break through preset trend limitation lines.

Strategy Advantages

1. Uses Hull Moving Averages to reduce the lag typically associated with traditional moving averages
2. Incorporates reflection values for more accurate detection of trend turning points
3. Features adjustable correction factors for enhanced adaptability
4. Improves signal reliability through absolute difference calculations
5. Integrates risk control mechanisms including dynamic trend line adjustments
6. Includes visualization components for intuitive market state assessment

Strategy Risks

1. May generate frequent false signals in ranging markets
2. Improper parameter settings can lead to delayed signals or excessive sensitivity
3. Trend limitation lines may not adjust quickly enough in volatile markets
4. Strategy relies on historical data calculations, potentially limiting response to sudden market events

Strategy Optimization Directions

1. Introduce volatility indicators for dynamic correction factor adjustment
2. Implement market state recognition mechanisms for parameter adaptation
3. Develop self-adaptive parameter optimization systems
4. Add volume analysis modules to enhance signal reliability
5. Improve risk control mechanisms with stop-loss and money management features

Summary

This strategy innovatively combines Hull Moving Averages with reflection value concepts to create a responsive and adaptive trend following system. Its core strength lies in accurately capturing trend turning points while maintaining adaptability through adjustable parameters. While inherent risks exist, continuous optimization and refinement make this strategy a potentially stable and reliable trading tool.