EMA Trend Filter Strategy

Overview

This strategy uses three exponential moving averages (EMAs) with different periods to determine market trends and generate buy/sell signals. The crossovers between the fast EMA, slow EMA, and trend filter EMA, along with the price position relative to the trend filter EMA, form the core logic of this strategy. Additionally, the Fukuiz trend indicator is introduced as an auxiliary judgment, which triggers position closing under certain conditions.

Strategy Principle

1. Calculate three EMAs with different periods: fast EMA (default 9 periods), slow EMA (default 21 periods), and trend filter EMA (default 200 periods).
2. Calculate the 20-period standard deviation of price to measure market volatility.
3. Introduce the Fukuiz trend indicator (default 14-period EMA) and determine its color based on its relationship with the previous period (green for upward, red for downward).
4. Generate a buy signal when the fast EMA crosses above the slow EMA, the fast EMA is higher than the slow EMA, and the price is above the trend filter EMA.
5. Generate a sell signal when the fast EMA crosses below the slow EMA, the fast EMA is lower than the slow EMA, and the price is below the trend filter EMA.
6. When holding a long position, if the Fukuiz trend indicator turns red, close the long position.
7. When holding a short position, if the Fukuiz trend indicator turns green, close the short position.

Advantage Analysis

1. The combination of multiple-period EMAs can effectively capture market trends.
2. The introduction of the Fukuiz trend indicator provides an additional basis for trend judgment and acts as a stop-loss in certain situations.
3. The parameters are adjustable, making the strategy highly adaptable and optimizable for different markets and timeframes.

Risk Analysis

1. EMAs are inherently lagging indicators, which may result in delayed signals during rapid market reversals.
2. The long period of the trend filter EMA may cause the strategy to miss some short-term trends.
3. The position closing logic based on the Fukuiz trend indicator may lead to premature stop-losses, missing out on subsequent trends.

Optimization Direction

1. Optimize the period parameters of each EMA to find the most suitable combination for the current market.
2. Introduce other auxiliary indicators, such as RSI and MACD, to provide more entry and exit bases.
3. Optimize the stop-loss logic of the Fukuiz trend indicator, such as adding a buffer zone to avoid premature stop-losses.
4. Consider incorporating position management and risk control modules to improve the strategy’s stability and risk resistance.

Summary

This strategy constructs a relatively complete trend judgment and trading framework by combining multiple-period EMAs and the Fukuiz trend indicator. The strategy logic is clear, the parameters are adjustable, and the adaptability is strong. However, it also has some potential risks, such as signal lag and trend judgment deviation. In the future, the strategy can be further refined in terms of parameter optimization, indicator combination, and risk management.