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Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network
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Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network (2020)Enhancing Bitcoin Price Fluctuation Predi…A Gated Recurrent Unit Approach to Bitcoin Price Prediction (2020)A Gated Recurrent Unit Approa…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Enhancing Stock Movement Prediction with Adversarial Training (2019)Enhancing Stock Movement Pred…Bitcoin price prediction using machine learning: An approach to sample dimension engineering (2019)Bitcoin price prediction usin…A Comparative Study of Bitcoin Price Prediction Using Deep Learning (2019)A Comparative Study of Bitcoi…Price manipulation in the Bitcoin ecosystem (2018)Price manipulation in the Bit…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Anticipating Cryptocurrency Prices Using Machine Learning (2018)Anticipating Cryptocurrency P…Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Volatility estimation for Bit…GARCH Modelling of Cryptocurrencies (2017)GARCH Modelling of Cryptocurr…Bitcoin, gold and the US dollar – A replication and extension (2017)Bitcoin, gold and the US doll…An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An Empirical Study on Modelin…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)Speculative bubbles in Bitcoi…Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)Bitcoin, gold and the dollar …Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A test for independence based on the correlation dimension (1996)The Econometrics of Financial Markets (1997)The Econometrics of Financial Markets (2012)Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets (2017)Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)The Inefficiency of Bitcoin (2016)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation (2018)Portfolio diversification with virtual currency: Evidence from bitcoin (2018)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency? (2018)Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin (2019)Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution (2020)On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? (2016)Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques (2018)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms (2021)Textual analysis of stock market prediction using breaking financial news (2009)Wikidata (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Transformer-based attention network for stock movement prediction (2022)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic (2020)Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis (2020)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)
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  • 2015Bitcoin, gold and the dollar – A GARCH volatility analysis1,552 cited
  • 2015Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin1,386 cited
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  • 2020A Gated Recurrent Unit Approach to Bitcoin Price Prediction

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230 cited
  • 2019A Comparative Study of Bitcoin Price Prediction Using Deep Learning213 cited
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