Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators

By Mohammad Ali Labbaf Khaniki, Mohammad Manthouri

Rating

1203
Battle Count: 87

Relevance

8/10
The proposed model shows significant improvement in cryptocurrency price prediction, which is directly applicable to quantitative trading strategies in the crypto market

Implementation Complexity

7/10
The model involves complex components such as Performer, BiLSTM, and technical indicators, requiring advanced deep learning knowledge and implementation skills

Reproducibility

3/5
The paper provides detailed methodology and evaluation metrics, but lacks specific implementation details and hyperparameters

About this paper

Methodology: Performer Neural Network with Technical Indicators. Problem types: Time Series Forecasting, Regression.

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