The study compares the performance of the convolutional neural network–long short-term memory (CNN–LSTM), long- and short-term time-series network, temporal convolutional network, and ARIMA (benchmark) models
The data for this study came from an open-access website -https://www.kaggle.com/team-ai/bitcoin-price-prediction/version/1. Used data is historical data to form Naïve model and to search for historical trends. Data can be use at real time using Big data concepts like Spark Streaming...
Price prediction has been another increasingly hot topic in the field of cryptocurrency research. Shah has Autoregressive integrated moving average The Autoregressive Integrated Moving Average (ARIMA) models are the general class of models for forecasting a non-stationary time series. The Integrated part...
Overall, the price prediction of cryptocurrency is essential for portfolio management and risk supervision, and more and more studies use AI-based models to predict the cryptocurrency price and prove the efectiveness of the en- semble predictive model. Nevertheless, three main questions related to ...
ARIMA ModelBitcoin ForecastShort-term PredictionTime SeriesThis paper investigated Bitcoin daily closing price using time series approach to predict future values for financial managers and investors. Daily data were sourced from CoinDesk, with Bitcoin Price Index (BPI) for 5 years (January 1, 2016 ...
In contrast, the Hybrid ARIMA-SVM model will help improve the performance of the ARIMA model when predicting over a long period, specifically 7 and 30 days for Bitcoin price prediction used in this research paper. The paper aims to compare traditional models such as the ARIMA, the Hybrid ...
Bitcoin price prediction poses a considerable challenge due to its intricate, ever-changing nature, nonlinear trends and susceptibility to various influencing factors, rendering simplistic models inadequate for accurate forecasts. One of the commonly used data mining methods in the field of machine ...
ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price PredictionThe two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during ...
Section 3 establishes multi-player dynamic game model for transaction bidding price prediction, and proposes a method to express user satisfaction and design a user benefit model accordingly. Section 4 conducts computational experiments to validate our proposal. Section 5 summarizes this paper and ...
But accuracy of the model is the deciding factor. We used ARIMA, LSTM and Facebook Prophet models and after the prediction is over, we have designed an ensemble model which merges the different models. And based upon the error rate we have decided the best model.Sowmya Dunnala...