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Predicting the Trends of Price for Ethereum Using Deep Learning Techniques · Study

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ChapterPredicting the Trends of Price for Ethereum Using Deep Learning Techniques

Deepak Kumar2020

Chapter2020

Predicting the Trends of Price for Ethereum Using Deep Learning Techniques

Deepak Kumar · Santanu Kumar Rath

42 citations·0/0 files stored·Advances in intelligent systems and computing

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

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References

2017Stock price prediction using LSTM, RNN and CNN-sliding window model 2011Using artificial neural network models in stock market index prediction 2018Predicting the Price of Bitcoin Using Machine Learning 2018NSE Stock Market Prediction Using Deep-Learning Models 2016Stock market index prediction using artificial neural network 2014Bayesian regression and Bitcoin 2015Using Time-Series and Sentiment Analysis to Detect the Determinants of Bitcoin Prices 2015Bitcoin spread prediction using social and web search media

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2022Cryptocurrency trading: a comprehensive survey 2020Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network 2024Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer 2021RMSE calculation of LSTM models for predicting prices of different cryptocurrencies

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Year2020

Typechapter

Published2020-01-01

VenueAdvances in intelligent systems and computing

ISSN-L2194-5357

Languageen

Citations42

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/978-981-15-0199-9_9

openalex_workW2944741672

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