Cryptocurrency Exchange Rate Prediction using ARIMA Model on Real Time Data

Dhinakaran, K; P, Baby Shamini; Divya, J; Indhumathi, C; Asha, R

doi:10.1109/icears53579.2022.9751925

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The additional research into cryptocurrency price prediction using an ARIMA model [12] that has been trained on the entire dataset and a small portion of the price history. A model for estimating bitcoin prices that integrates long-term and short-term learning and analyses a significant amount of past price dataWhile for the shorter time, we are concentrating on price-related accuracy, we are only paying attention to up and down for the longer length [13,14].…”

Section: Literature Surveymentioning

confidence: 99%

Cryptocurrency Price Prediction Using LSTM Neural Networks

Arora,

Bajpai,

Prakash

2023

Recent Trends in Data Science and Its Applications

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As the markets for cryptocurrencies have risen rapidly in recent years, there is more interest in forecasting their prices. The use of Long Short-Term Memory (LSTM) neural networks for cryptocurrency price prediction is examined in this paper. The model is trained to predict the price using historical data on the cryptocurrency exchange rate with the currencies of G20 nations. The pre-processed data collection is divided into training and testing sets. Then, using the training set and testing set, the LSTM model is trained. To assess the model's performance, it is put up against the time series model known as Autoregressive Integrated Moving Average (ARIMA). The outcomes show that the LSTM model performs better in terms of accuracy and offers more trustworthy forecasts of the cryptocurrency exchange rate than the ARIMA model. These results imply that LSTM neural networks are a potential method for predicting the price of cryptocurrencies and may be used to help traders and investors make wise choices.

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Section: Literature Surveymentioning

confidence: 99%

Cryptocurrency Price Prediction Using LSTM Neural Networks

Arora,

Bajpai,

Prakash

2023

Recent Trends in Data Science and Its Applications

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MLP-based Learnable Window Size for Bitcoin price prediction

Rajabi

Roozkhosh

Farimani

2022

Applied Soft Computing

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Crypto-Currency Price Prediction Using Deep Learning

Thombre¹,

Devikar²,

Gangamwar³

et al. 2023

ijngc

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After the price swings of crypto-currencies in past years, it has been considered as an asset. As crypto-currency is unpredictable, there arises the requirement of crypto-currency price prediction with greater level of accuracy. For this many researchers uses variety of ML and DL algorithms and are applying them to build a model which will predict crypto-currency price with improved accuracy. To build successful investment plan, accurate prediction is needed. The proposed method uses combination of LSTM and GRU for the bitcoin price prediction in order to find the closing price of bitcoin

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Cryptocurrency Exchange Rate Prediction using ARIMA Model on Real Time Data

Cited by 3 publications

References 10 publications

Cryptocurrency Price Prediction Using LSTM Neural Networks

Cryptocurrency Price Prediction Using LSTM Neural Networks

MLP-based Learnable Window Size for Bitcoin price prediction

Crypto-Currency Price Prediction Using Deep Learning

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