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Cryptocurrency Price Prediction based on Multiple Market Sentiment
16 references·0 citing·51 second hopsampled
Cryptocurrency Price Prediction based on Multiple Market Sentiment (2020)Cryptocurrency Price Prediction based on …Bitcoin price forecasting with neuro-fuzzy techniques (2019)Bitcoin price forecasting wit…What determines bitcoin exchange prices? A network VAR approach (2018)What determines bitcoin excha…What can explain the price, volatility and trading volume of Bitcoin? (2018)What can explain the price, v…Scaling properties of extreme price fluctuations in Bitcoin markets (2018)Scaling properties of extreme…How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis (2018)How Does Social Media Impact …Forecasting cryptocurrencies under model and parameter instability (2018)Forecasting cryptocurrencies …Does twitter predict Bitcoin? (2018)Does twitter predict Bitcoin?Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation (2018)Does economic policy uncertai…Cryptocurrency price drivers: Wavelet coherence analysis revisited (2018)Cryptocurrency price drivers:…Cryptocurrency forecasting with deep learning chaotic neural networks (2018)Cryptocurrency forecasting wi…A novel cryptocurrency price trend forecasting model based on LightGBM (2018)A novel cryptocurrency price …When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation (2017)When Bitcoin encounters infor…Predicting cryptocurrency price bubbles using social media data and epidemic modelling (2017)Predicting cryptocurrency pri…Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies (2016)Predicting Fluctuations in Cr…Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning (2016)Forecasting movements of heal…Price discovery on Bitcoin exchanges (2015)Price discovery on Bitcoin ex…Price, trade size, and information in securities markets (1987)Forecasting, Structural Time Series Models and the Kalman Filter (1990)One Security, Many Markets: Determining the Contributions to Price Discovery (1995)Twitter mood predicts the stock market (2011)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)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)Cryptocurrency trading: a comprehensive survey (2022)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Simple Approximate Long-Memory Model of Realized Volatility (2008)On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? (2016)The effects of markets, uncertainty and search intensity on bitcoin returns (2018)Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting (2019)Bitcoin and gold price returns: A quantile regression and NARDL analysis (2020)Oil prices, US stock return, and the dependence between their quantiles (2015)Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)Measuring Economic Policy Uncertainty* (2016)Dynamic connectedness and integration in cryptocurrency markets (2018)Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic (2020)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy (2018)Diffusion of Innovations 1 (2019)On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms (2011)Econometric measures of connectedness and systemic risk in the finance and insurance sectors (2012)CoVaR (2016)Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency? (2018)When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin (2018)High frequency volatility co-movements in cryptocurrency markets (2019)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)Is Bitcoin a Hedge or Safe-Haven for Currencies? An Intraday Analysis (2018)Should Investors Include Bitcoin in Their Portfolios? A Portfolio Theory Approach (2018)Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach (2020)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning (2019)Quantile connectedness in the cryptocurrency market (2021)Can volume predict Bitcoin returns and volatility? A quantiles-based approach (2017)Datestamping the Bitcoin and Ethereum Bubbles (2017)Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions (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)Fuzzy sets (1965)The Behavior of Stock-Market Prices (1965)Fuzzy sets (1996)Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)
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References

  • 2018Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation694 cited
  • 2018A novel cryptocurrency price trend forecasting model based on LightGBM525 cited
  • 2018Cryptocurrency forecasting with deep learning chaotic neural networks406 cited
  • 2018Does twitter predict Bitcoin?395 cited
  • 2018How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis390 cited
  • 2015Price discovery on Bitcoin exchanges347 cited
  • 2018What can explain the price, volatility and trading volume of Bitcoin?334 cited
  • 2016Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies286 cited
  • 2019Bitcoin price forecasting with neuro-fuzzy techniques229 cited
  • 2018What determines bitcoin exchange prices? A network VAR approach191 cited
  • 2018Forecasting cryptocurrencies under model and parameter instability153 cited
  • 2018Cryptocurrency price drivers: Wavelet coherence analysis revisited147 cited
  • 2017Predicting cryptocurrency price bubbles using social media data and epidemic modelling138 cited
  • 2018Scaling properties of extreme price fluctuations in Bitcoin markets123 cited
  • 2016Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning

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83 cited
  • 2017When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation83 cited
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