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Overview

This strategy combines the 123 reversal pattern strategy and the Bear Power indicator strategy. Trading signals are generated when both give buy or sell signals in the same direction. It belongs to the breakout reversal trading strategy.

Strategy Logic

The strategy consists of two parts:

1. 123 Reversal Pattern Strategy

   It generates buy signals when the closing price breaks out upward after two consecutive days of decline and the low Stoch indicator bounces back from the low level; It generates sell signals when the closing price breaks down after two consecutive days of rise and the high Stoch indicator pulls back from the high level.

2. Bear Power Indicator Strategy

   The Bear Power indicator reflects the comparison of bullish and bearish powers. It generates sell signals when above the set sell line and generates buy signals when below the set buy line.

When combining the signals, actual trading signals are generated if the two gives signals in the same direction.

Advantages

1. Combining reversal signals and indicator filters avoids false breakouts and improves signal quality.

2. Applicable to multiple timeframes, flexible in adapting to different market environments.

3. The constituent strategies can be used alone or in combination, with modular design.

Risks

1. Reversal signals may face large pullback depths.

2. The Bear Power indicator parameters need repetitive testing and optimization.

3. Multi-factor integrated strategies have complex parameter tuning and require large amounts of historical data for testing.

Optimization Directions

1. Connect more data sources with the join Quant module to obtain longer time range and richer dataset.

2. Apply machine learning methods to automatically search and evaluate parameter combinations.

3. Add stop loss mechanisms to control single trade loss.

Conclusion

This strategy combines reversal technical analysis and quantitative indicators to improve signal quality through double confirmation. It has high modularity and expandability. Further optimization with advanced technologies can adapt it to more sophisticated market environments.