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Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach · Study

WorkInvestigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach

Emmanuel G. Pintelas2020

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Workgreen2020

Investigating the Problem of Cryptocurrency Price Prediction: A Deep Learning Approach

Emmanuel G. Pintelas · Ioannis E. Livieris · Stavros Stavroyiannis · Theodore Kotsilieris · Panagiotis Pintelas

78 citations·0/0 files stored·IFIP advances in information and communication technology

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Stock Market Forecasting Methods Blockchain Technology Applications and Security Forecasting Techniques and Applications

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References

2008Introduction to time series analysis and forecasting 2018A Comparison of ARIMA and LSTM in Forecasting Time Series 2020A CNN–LSTM model for gold price time-series forecasting 2019A Comparative Study of Bitcoin Price Prediction Using Deep Learning 2018Predicting bitcoin returns using high-dimensional technical indicators 2019Trend Prediction Classification for High Frequency Bitcoin Time Series with Deep Learning

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2023A survey of deep learning applications in cryptocurrency 2022Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit 2022Effect of twitter investor engagement on cryptocurrencies during the COVID-19 pandemic 2022Investors Behavioural Intention of Cryptocurrency Adoption – A Review based Research Agenda

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2020Cryptocurrencies and Artificial Intelligence: Challenges and Opportunitiesarticle · 3 shared references 2020Stock price prediction using deep learning and frequency decompositionarticle · 2 shared references 2021An Advanced CNN-LSTM Model for Cryptocurrency Forecastingarticle · 2 shared references 2020Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Seriesarticle · 2 shared references 2020A novel validation framework to enhance deep learning models in time-series forecastingarticle · 2 shared references 2022Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awarenessarticle · 2 shared references

Details

Year2020

Typeother

Published2020-01-01

VenueIFIP advances in information and communication technology

ISSN-L1868-422X

Languageen

Citations78

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/978-3-030-49186-4_9

openalex_workW3028847668

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