Strategy Logic

This strategy combines a neural network model, RSI indicator and Super Trend indicator for trading.

The logic is:

1. Build a neural network model with inputs including volume change, Bollinger Bands, RSI etc.

2. The network predicts future price change rate

3. Calculate RSI values and combine with predicted price change

4. Generate dynamic stop loss lines based on RSI

5. Go short when price breaks above up stop loss; go long when price breaks below down stop

6. Use Super Trend trend judgment for filtration

The strategy leverages neural networks' ability to model complex data, with additional signal verification from indicators like RSI and Super Trend to improve accuracy while controlling risk.

Advantages

• Neural networks model multidimensional data to determine trends

• RSI stops protect profits, Super Trend assists judgement

• Multiple indicators combine to improve signal quality

Risks

• Requires large datasets for neural network training

• Fine-tuning of RSI and Super Trend parameters needed

• Performance depends on model predictions, uncertainties exist

Summary

This strategy combines machine learning with traditional techniques for efficiency with risk controls. But parameters and model interpretability need improvement.