Core Insights - The essence of moving average lines is to eliminate random price fluctuations and seek price trends [3] - The effectiveness of moving averages is closely related to the selected parameter N [3] - Different types of moving averages can be categorized based on their calculation methods [4][5] Single Moving Average Strategy - The single moving average strategy involves selecting a significant moving average as a reference. If the closing price is above the moving average, it indicates a bullish trend, while a closing price below suggests a bearish trend [8][9] - The strategy includes entry and exit filters, requiring the moving average to be rising for long positions and falling for short positions [9][11][12] - Performance evaluation shows a net value of 14.6155 and an annual compound return of 14.3512% from 2005 to 2024 [14][16] Double Moving Average Strategy - The double moving average strategy uses the relationship between short-term and long-term moving averages to determine price trends. A short-term average above a long-term average indicates an upward trend, while the opposite suggests a downward trend [21][22] - The strategy's effectiveness is influenced by the selected short-term and long-term parameters [23] - Performance evaluation indicates a net value of 19.5463 and an annual compound return of 16.0254% from 2005 to 2024 [25][27] Triple Moving Average Strategy - The triple moving average strategy builds on the double moving average strategy by adding a longer-term moving average as a filter. Long positions are only taken when the short-term average is above the longest average, and short positions are taken when the short-term average is below the longest average [31][32] - Performance evaluation shows a net value of 9.9713 and an annual compound return of 12.1815% from 2005 to 2024 [36] Moving Average Divergence Strategy - The moving average divergence strategy is derived from the single moving average strategy, incorporating divergence rates to assess trend strength. It uses short-term, medium-term, and long-term moving averages to calculate a weighted divergence rate [42] - Performance evaluation indicates a net value of 23.1849 and an annual compound return of 17.02% from 2005 to 2024 [45] Moving Average Convergence Strategy - The moving average convergence strategy measures the degree of divergence between moving averages to assess trends. It calculates divergence values between short-term, medium-term, and long-term moving averages [51] - Performance evaluation shows a net value of 15.0084 and an annual compound return of 14.503% from 2005 to 2024 [55] Strategy Application Considerations - The report presents five moving average strategies, each with distinct approaches and performance characteristics, making direct comparisons challenging [61] - The performance of these strategies is based on specific parameters, and investors are encouraged to explore various parameter combinations [62] - The strategies exhibit significant drawdown levels, necessitating careful consideration of capital allocation and psychological resilience [63]