Overview

This strategy designs a trading system with trend following function based on Average True Range (ATR) and Relative Strength Index (RSI). It can automatically identify the trend direction and has stop loss and take profit features.

Strategy Logic

1. Calculate ATR and RSI. ATR reflects the average price volatility over a period. RSI reflects the power comparison between bulls and bears.

2. When ATR is greater than its moving average, it is considered a high volatility period suitable for trading.

3. When RSI is above the overbought line, go long. When RSI is below the oversold area, go short.

4. After long, use high point multiplied by a fixed ratio as trailing stop loss price. After short, use low point multiplied by a fixed ratio as trailing stop loss price.

5. Take profit by profit ratio.

Advantage Analysis

1. Trailing stop loss can maximize stop loss orders to reduce losses.

2. RSI can effectively judge the power of bulls and bears to avoid repeatedly opening positions in range-bound markets.

3. As a volatility indicator, ATR can filter out range-bound markets and only trade in trending markets.

4. Take profit by profit ratio can lock in some profits.

Risk Analysis

1. Both ATR and RSI are lagging indicators, which may lead to late entry timing. Parameters can be optimized to make the system more sensitive.

2. Fixed profit and loss ratio for stop loss and take profit is prone to over optimization, should be set prudently based on backtest results.

3. In large cycle range-bound markets, ATR may be greater than moving average for a long time, leading to over trading. Other filters can be added.

Optimization Directions

1. Optimize parameters of ATR and RSI to make system more sensitive.

2. Add MA and other indicators to determine trend direction, avoid wrongly entering range-bound markets.

3. Try dynamic stop loss and take profit ratios, instead of fixed settings.

4. Consider adding trading size control measures.

Summary

This strategy integrates the advantages of ATR and RSI indicators and designs a simple and practical trend following trading system. Further improving system stability by parameter optimization and adding filters. Overall, this strategy has strong practical value for live trading.