SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis
7 references·7 citing·44 second hop
Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis (2018)Forecasting Price of Cryptocurrencies Usi…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators (2018)Non-linear Autoregressive wit…Modelling and predicting the Bitcoin volatility using GARCH models (2018)Modelling and predicting the …Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies (2016)Predicting Fluctuations in Cr…Bitcoin spread prediction using social and web search media (2015)Bitcoin spread prediction usi…The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)The digital traces of bubbles…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data (2025)Deep learning and NLP in cryp…Predicting Bitcoin Prices Using Machine Learning (2023)Predicting Bitcoin Prices Usi…Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awareness (2022)Deep Learning Algorithm to Pr…Analysis of Bitcoin’s price spike in context of Elon Musk’s Twitter activity (2022)Analysis of Bitcoin’s price s…Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data (2021)Forecasting directional bitco…Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network (2020)Enhancing Bitcoin Price Fluct…A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price (2020)A Data Selection Methodology …The Adjustment of Stock Prices to New Information (1969)Computational Social Science (2009)Negative bubbles and shocks in cryptocurrency markets (2016)Bitcoin for energy commodities before and after the December 2013 crash: diversifier, hedge or safe haven? (2017)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Text as Data (2019)How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis (2018)CNN-based multivariate data analysis for bitcoin trend prediction (2020)Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels (2021)On technical trading and social media indicators for cryptocurrency price classification through deep learning (2022)BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (2013)What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis (2015)Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques (2018)Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning (2019)Forecasting and trading cryptocurrencies with machine learning under changing market conditions (2021)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 Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Stock Market Prediction Using Artificial Neural Networks (2012)Stock Price Prediction Using the ARIMA Model (2014)A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price (2015)An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for Cryptocurrency Forecasting (2019)Cryptocurrency Price Analysis with Artificial Intelligence (2019)Predicting changes in Bitcoin price using grey system theory (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)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer (2024)Modeling and Forecasting Realized Volatility (2003)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies (2025)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Risk, Return, and Equilibrium: Empirical Tests (1973)Deep learning with long short-term memory networks for financial market predictions (2017)A survey of deep learning applications in cryptocurrency (2023)Forecasting Bitcoin closing price series using linear regression and neural networks models (2020)Stacking hybrid GARCH models for forecasting Bitcoin volatility (2021)Deep learning in predicting cryptocurrency volatility (2022)
this work references cited by second hop

References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2014The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy466 cited
  • 2016Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies286 cited
  • 2015Bitcoin spread prediction using social and web search media121 cited
  • 2018Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators93 cited
  • 2018Modelling and predicting the Bitcoin volatility using GARCH models77 cited

Cited by

  • 2022Deep Learning Algorithm to Predict Cryptocurrency Fluctuation Prices: Increasing Investment Awareness71 cited
  • 2021Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data45 cited
  • 2020Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network41 cited
  • 2023Predicting Bitcoin Prices Using Machine Learning37 cited
  • 2025Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data30 cited
  • 2020A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price30 cited
  • 2022

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Analysis of Bitcoin’s price spike in context of Elon Musk’s Twitter activity
26 cited