Novel Cryptocurrency Price Prediction Model Using GRU

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Novel Cryptocurrency Price Prediction Model Using GRU ( novel-cryptocurrency-price-prediction-model-using-gru )

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AI 2021, 2 AI 2021, 2, FOR PEER REVIEW 485 10 Figure 7. The cell model of a GRU block diagram. Figure 7. The cell model of a GRU block diagram. 3..2.. Evalluattiion Mattriix The evaluation of the proposed schemes is done using the mean absolute percentage error (MAPE) and the root mean squared error (RMSE). 􏰡 􏰮N∑􏰳􏰴􏰵􏰶(􏰯􏰰􏰗􏰱􏰰)􏰲 2 (12) RMSE = ∑ (Ai − Fi) I=1 􏰷 (12) RMSE = MAPE = 􏰘 ∑􏰷􏰚􏰩􏰘 􏰸|􏰯􏰰􏰗 􏰱􏰰|􏰹 𝑋 100% (13) 􏰷 􏰯􏰰 􏰁 1 N |Ai − Fi| ∑ i=1 × 100% (13) 􏰚􏰚 NAi is the number of samples. where Ai and Fi are the actual and forecasted cryptocurrency prices, respectively, and N is the number of samples. MAPE = where 𝐴 and 𝐹 are the actual and forecasted cryptocurrency prices, respectively, and N N 3.3. Data Exploration When dealing with data, it is useful and important to understand the data distribu- 3.3. Data Exploration tion and behavior using a stable and meaningful chart to extract the story that the data When dealing with data, it is useful and important to understand the data distribution tells. Figure 8 illustrates the time series for targeted cryptocurrency distributed through and behavior using a stable and meaningful chart to extract the story that the data tells. the interval between 22 January 2018 and 30 June 2021. It shows that the price increases Figure 8 illustrates the time series for targeted cryptocurrency distributed through the along with the specific interval depending on the closing price. interval between 22 January 2018 and 30 June 2021. It shows that the price increases along with the specific interval depending on the closing price.

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