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Detecting cryptocurrency pump-and-dump frauds using market and social signals
14 references·3 citing·54 second hop
Detecting cryptocurrency pump-and-dump frauds using market and social signals (2021)Detecting cryptocurrency pump-and-dump fr…Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)Convolution on neural network…Regulation of the Crypto-Economy: Managing Risks, Challenges, and Regulatory Uncertainty (2019)Regulation of the Crypto-Econ…Recurrent Neural Network Based Bitcoin Price Prediction by Twitter Sentiment Analysis (2018)Recurrent Neural Network Base…Evaluation of bidirectional LSTM for short-and long-term stock market prediction (2018)Evaluation of bidirectional L…Does twitter predict Bitcoin? (2018)Does twitter predict Bitcoin?Cryptocurrency Pump-and-Dump Schemes (2018)Cryptocurrency Pump-and-Dump …Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Predicting cryptocurrency price bubbles using social media data and epidemic modelling (2017)Predicting cryptocurrency pri…Cryptocurrency: A New Investment Opportunity? (2017)Cryptocurrency: A New Investm…2016 IEEE International Conference on Big Data (Big Data) (2016)2016 IEEE International Confe…Social signals and algorithmic trading of Bitcoin (2015)Social signals and algorithmi…Sentiment analysis on social media for stock movement prediction (2015)Sentiment analysis on social …A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Trading Strategies to Exploit Blog and News Sentiment (2010)Trading Strategies to Exploit…PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin (2023)PreBit — A multimodal model w…FinTech and fan tokens: Understanding the risks spillover of digital asset investment (2023)FinTech and fan tokens: Under…Past, present, and future of the application of machine learning in cryptocurrency research (2022)Past, present, and future of …The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)Twitter mood predicts the stock market (2011)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)What Moves Stock Prices? (1988)Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective (2017)Intelligent Asset Allocation via Market Sentiment Views (2018)Deep reinforcement learning for automated stock trading (2020)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Core affect and the psychological construction of emotion. (2003)Evolutionary dynamics of the cryptocurrency market (2017)Anticipating Cryptocurrency Prices Using Machine Learning (2018)Advanced social media sentiment analysis for short‐term cryptocurrency price prediction (2019)Textual analysis of stock market prediction using breaking financial news (2009)Deep learning-based feature engineering for stock price movement prediction (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Risk, Return, and Equilibrium: Empirical Tests (1973)Dynamic Conditional Correlation (2002)Volatility co-movement between Bitcoin and Ether (2018)High frequency volatility co-movements in cryptocurrency markets (2019)A systematic literature review of investor behavior in the cryptocurrency markets (2023)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)NSE Stock Market Prediction Using Deep-Learning Models (2018)Stock Closing Price Prediction using Machine Learning Techniques (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Designing a neural network for forecasting financial and economic time series (1996)Deep learning for stock prediction using numerical and textual information (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Stock Market Prediction Using Machine Learning (2018)Stock Price Forecasting with Deep Learning: A Comparative Study (2020)A systematic review of stock market prediction using machine learning and statistical techniques (2021)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)A new statistic and practical guidelines for nonparametric Granger causality testing (2006)The Inefficiency of Bitcoin (2016)Should Investors Include Bitcoin in Their Portfolios? A Portfolio Theory Approach (2018)Is cryptocurrency a hedge or a safe haven for international indices? A comprehensive and dynamic perspective (2019)Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach (2020)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)The Econometrics of Financial Markets (2012)Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey (2021)Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)Algorithms at Work: The New Contested Terrain of Control (2019)Stress detection in daily life scenarios using smart phones and wearable sensors: A survey (2019)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)
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References

  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2015Sentiment analysis on social media for stock movement prediction626 cited
  • 20162016 IEEE International Conference on Big Data (Big Data)451 cited
  • 2018Does twitter predict Bitcoin?381 cited
  • 2017Cryptocurrency: A New Investment Opportunity?348 cited
  • 2018Evaluation of bidirectional LSTM for short-and long-term stock market prediction257 cited
  • 2010Trading Strategies to Exploit Blog and News Sentiment253 cited
  • 2015Social signals and algorithmic trading of Bitcoin207 cited
  • 2020Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators196 cited
  • 2018Cryptocurrency Pump-and-Dump Schemes185 cited
  • 2017Predicting cryptocurrency price bubbles using social media data and epidemic modelling138 cited
  • 2019Regulation of the Crypto-Economy: Managing Risks, Challenges, and Regulatory Uncertainty133 cited
  • 2018Recurrent Neural Network Based Bitcoin Price Prediction by Twitter Sentiment Analysis131 cited

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2022
Past, present, and future of the application of machine learning in cryptocurrency research
67 cited
  • 2023PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin46 cited
  • 2023FinTech and fan tokens: Understanding the risks spillover of digital asset investment29 cited