Overview

This strategy is an advanced trading system based on multi-period momentum indicators and volatility filtering. It constructs a comprehensive momentum scoring system by calculating price momentum across four time periods: 3-month, 6-month, 9-month, and 12-month. Additionally, the strategy incorporates an annualized volatility filtering mechanism to control trading risk by setting volatility thresholds. The strategy focuses on capturing trading opportunities with sustained upward trends and relatively stable volatility, making it a typical trend-following system.

Strategy Principles

The core logic includes several key elements:

1. Momentum Calculation: Uses (current_price/historical_price-1) method to calculate momentum indicators for four time periods.
2. Volatility Filtering: Calculates the standard deviation of daily returns and annualizes it, comparing it with a preset threshold (0.5) to filter high volatility periods.
3. Signal Generation: Generates long signals when the composite momentum indicator turns positive from negative and volatility is below the threshold; exits when momentum turns negative.
4. Risk Management: Employs 1% stop-loss and 50% take-profit levels to control single-trade risk.

Strategy Advantages

1. Multi-dimensional Momentum Analysis: Provides a more comprehensive assessment of price trend strength and persistence by considering momentum across multiple time periods.
2. Adaptive Volatility Filtering: Effectively avoids false signals during high volatility periods through dynamic volatility calculation and filtering.
3. Comprehensive Risk Control: Implements stop-loss and take-profit thresholds for effective single-trade risk control.
4. Systematic Decision-making: Fully systematized strategy that eliminates subjective judgment interference.

Strategy Risks

1. Trend Reversal Risk: May incur significant losses during sudden trend reversals.
2. Parameter Sensitivity: Strategy performance is sensitive to momentum period and volatility threshold parameter settings.
3. Market Environment Dependency: May generate frequent false signals in ranging markets.
4. Slippage Impact: May face significant transaction costs during periods of insufficient market liquidity.

Strategy Optimization Directions

1. Dynamic Parameter Optimization: Introduce adaptive parameter adjustment mechanisms to dynamically adjust momentum periods and volatility thresholds based on market conditions.
2. Market State Classification: Add market state identification modules to employ different parameter settings under different market environments.
3. Signal Confirmation Mechanism: Incorporate additional technical indicators to confirm trading signals and improve strategy stability.
4. Capital Management Optimization: Dynamically adjust position sizes based on signal strength to achieve more efficient capital utilization.

Summary

This strategy constructs a complete trend-following trading system by combining multi-period momentum analysis and volatility filtering. Its core advantages lie in its systematic decision-making process and comprehensive risk control mechanisms. While inherent risks exist, there is significant room for improvement through the proposed optimization directions. Overall, this is a well-designed and logically rigorous trading strategy suitable for application in low-volatility trend markets.