💡Model overview

In this paper, we utilized a combination of CNN and LSTM layers. Therefore, before presenting our methodology, we will introduce the concepts of CNN and LSTM.

Our findings

♾️Convolutional neural network - CNN

✍️Dropout techniques

🧠Long short-term memory (LSTM)

🙆Methodology

🔗Data collection and merging

🛠️Model architecture

➕Dataset and Parameter Optimization

👌Results and discussion

⚓Trading Philosophy & Method

➗Basic algorithm

🌠Results

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