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Applying Artificial Intelligence in Cryptocurrency Markets: A Survey
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Applying Artificial Intelligence in Cryptocurrency Markets: A Survey (2022)Applying Artificial Intelligence in Crypt…Cryptocurrency trading: a comprehensive survey (2022)Cryptocurrency trading: a com…Deep learning for financial applications : A survey (2020)Deep learning for financial a…Bitcoin price prediction using machine learning: An approach to sample dimension engineering (2019)Bitcoin price prediction usin…Trading and Arbitrage in Cryptocurrency Markets (2018)Trading and Arbitrage in Cryp…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Liquidity and market efficiency in cryptocurrencies (2018)Liquidity and market efficien…FinTech (Financial Technology): What is It and How to Use Technologies to Create Business Value in Fintech Way? (2018)FinTech (Financial Technology…Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning-based feature e…An innovative neural network approach for stock market prediction (2018)An innovative neural network …A novel cryptocurrency price trend forecasting model based on LightGBM (2018)A novel cryptocurrency price …Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets (2017)Virtual relationships: Short-…RETRACTED: Datestamping the Bitcoin and Ethereum bubbles (2017)RETRACTED: Datestamping the B…Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets (2017)Exploring the Dynamic Relatio…Cryptocurrency portfolio management with deep reinforcement learning (2017)Cryptocurrency portfolio mana…An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An Empirical Study on Modelin…Granger causality in risk and detection of extreme risk spillover between financial markets (2009)Granger causality in risk and…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)Correlations in Price Changes and Volatility across International Stock Markets (1990)Dynamic Conditional Correlation (2002)Better to give than to receive: Predictive directional measurement of volatility spillovers (2011)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Safe haven or risky hazard? Bitcoin during the Covid-19 bear market (2020)The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies (2020)Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)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)Evaluating multiple classifiers for stock price direction prediction (2015)Deep Learning for Stock Market Prediction (2020)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Continuous Auctions and Insider Trading (1985)Noise Trader Risk in Financial Markets (1990)The Limits of Arbitrage (1995)Should Investors Include Bitcoin in Their Portfolios? A Portfolio Theory Approach (2018)Common Risk Factors in Cryptocurrency (2022)PORTFOLIO SELECTION* (1952)Price Momentum and Trading Volume (2000)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Can volume predict Bitcoin returns and volatility? A quantiles-based approach (2017)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks (2023)Textual Analysis in Accounting and Finance: A Survey (2016)Deep learning with long short-term memory networks for financial market predictions (2017)A novel graph convolutional feature based convolutional neural network for stock trend prediction (2020)Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions (2020)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Financial applications of machine learning: A literature review (2023)Stock Prices and Social Dynamics (1984)Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation (2018)Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic (2020)On the network topology of variance decompositions: Measuring the connectedness of financial firms (2014)Measuring Economic Policy Uncertainty* (2016)Security and Privacy in Metaverse: A Comprehensive Survey (2023)Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets (2023)FinTech: a literature review of emerging financial technologies and applications (2025)
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References

  • 2017Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets1,342 cited
  • 2018Trading and Arbitrage in Cryptocurrency Markets903 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2017RETRACTED: Datestamping the Bitcoin and Ethereum bubbles655 cited
  • 2020Deep learning for financial applications : A survey550 cited
  • 2018A novel cryptocurrency price trend forecasting model based on LightGBM518 cited
  • 2018Deep learning-based feature engineering for stock price movement prediction483 cited
  • 2018An innovative neural network approach for stock market prediction476 cited
  • 2017An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information458 cited
  • 2022Cryptocurrency trading: a comprehensive survey421 cited
  • 2019Bitcoin price prediction using machine learning: An approach to sample dimension engineering420 cited
  • 2017Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets365 cited
  • 2018FinTech (Financial Technology): What is It and How to Use Technologies to Create Business Value in Fintech Way?360 cited
  • 2018Liquidity and market efficiency in cryptocurrencies360 cited

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2009
Granger causality in risk and detection of extreme risk spillover between financial markets
358 cited
  • 2017Cryptocurrency portfolio management with deep reinforcement learning298 cited
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