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Predicting the Trends of Price for Ethereum Using Deep Learning Techniques
9 references·4 citing·46 second hop
Predicting the Trends of Price for Ethereum Using Deep Learning Techniques (2020)Predicting the Trends of Price for Ethere…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Stock market index prediction using artificial neural network (2016)Stock market index prediction…Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction (2016)Investigation Into The Effect…Using Time-Series and Sentiment Analysis to Detect the Determinants of Bitcoin Prices (2015)Using Time-Series and Sentime…Bitcoin spread prediction using social and web search media (2015)Bitcoin spread prediction usi…Bayesian regression and Bitcoin (2014)Bayesian regression and Bitco…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer (2024)Interpretable multi-horizon t…Cryptocurrency trading: a comprehensive survey (2022)Cryptocurrency trading: a com…RMSE calculation of LSTM models for predicting prices of different cryptocurrencies (2021)RMSE calculation of LSTM mode…Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network (2020)Enhancing Bitcoin Price Fluct…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Financial time series forecasting model based on CEEMDAN and LSTM (2018)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Testing for a Unit Root in Time Series Regression (1988)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Bitcoin price prediction using machine learning: An approach to sample dimension engineering (2019)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Twitter mood predicts the stock market (2011)The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)How Does Social Media Impact Bitcoin Value? 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this work references cited by second hop

References

  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,134 cited
  • 2011Using artificial neural network models in stock market index prediction796 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning702 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models629 cited
  • 2016Stock market index prediction using artificial neural network423 cited
  • 2014Bayesian regression and Bitcoin179 cited
  • 2015Using Time-Series and Sentiment Analysis to Detect the Determinants of Bitcoin Prices173 cited
  • 2015Bitcoin spread prediction using social and web search media121 cited
  • 2016Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction63 cited

Cited by

  • 2022Cryptocurrency trading: a comprehensive survey481 cited
  • 2020Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network41 cited
  • 2024Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer32 cited
  • 2021RMSE calculation of LSTM models for predicting prices of different cryptocurrencies31 cited

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