SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features
16 references·0 citing·50 second hop
MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features (2024)MFB: A Generalized Multimodal Fusion Appr…An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend (2024)An ensemble learning method f…Survey of feature selection and extraction techniques for stock market prediction (2023)Survey of feature selection a…Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Deep learning models for pric…Centralized decomposition approach in LSTM for Bitcoin price prediction (2023)Centralized decomposition app…On technical trading and social media indicators for cryptocurrency price classification through deep learning (2022)On technical trading and soci…Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context (2022)Integrating Navier-Stokes equ…Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit (2022)Cryptocurrency Price Predicti…A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin (2022)A Stacking Ensemble Deep Lear…A sentiment analysis approach to the prediction of market volatility (2022)A sentiment analysis approach…MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price (2021)MRC-LSTM: A Hybrid Approach o…A stock price prediction method based on deep learning technology (2021)A stock price prediction meth…Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches (2020)Sentiment-Driven Price Predic…Analysis of Bitcoin prices using market and sentiment variables (2020)Analysis of Bitcoin prices us…Stock market prediction using Firefly algorithm with evolutionary framework optimized feature reduction for OSELM method (2019)Stock market prediction using…Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets (2016)Proximal support vector machi…A NEW MEASURE OF RANK CORRELATION (1938)A NEW MEASURE OF RANK CORRELA…Financial time series forecasting using support vector machines (2003)Support vector machine with adaptive parameters in financial time series forecasting (2003)Forecasting stock market movement direction with support vector machine (2004)Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets (2017)A hybrid financial trading support system using multi-category classifiers and random forest (2018)Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme (2021)The Behavior of Stock-Market Prices (1965)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Factor Analysis: Statistical Methods and Practical Issues (1978)Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks (2020)An efficient equilibrium optimizer with support vector regression for stock market prediction (2021)FEB-Stacking and FEB-DNN Models for Stock Trend Prediction: A Performance Analysis for Pre and Post Covid-19 Periods (2021)Time Series Analysis: Forecasting and Control (1977)Twitter mood predicts the stock market (2011)Stock Price Prediction Using the ARIMA Model (2014)Prophetic Analysis of Bitcoin price using Machine Learning Approaches (2021)Fusion in Cryptocurrency Price Prediction: A Decade Survey on Recent Advancements, Architecture, and Potential Future Directions (2022)Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions (2024)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)News sensitive stock market prediction: literature review and suggestions (2021)Integrating EEMD and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions (2024)Noise Trader Risk in Financial Markets (1990)The Limits of Arbitrage (1995)Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model (2023)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Cryptocurrency forecasting with deep learning chaotic neural networks (2018)Prediction of cryptocurrency returns using machine learning (2020)Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods (2023)LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction (2023)Artificial intelligence techniques in financial trading: A systematic literature review (2024)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin (2023)Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared (2024)Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis (2024)Random Walks in Stock Market Prices (1995)The Efficient Market Hypothesis and Its Critics (2003)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting (2023)Hybrid of jellyfish and particle swarm optimization algorithm-based support vector machine for stock market trend prediction (2024)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Analysis of Financial Time Series (2005)1D-CapsNet-LSTM: A deep learning-based model for multi-step stock index forecasting (2024)A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems (2024)Key technical indicators for stock market prediction (2025)An effect size primer: A guide for clinicians and researchers. (2009)Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data (2011)Econometric measures of connectedness and systemic risk in the finance and insurance sectors (2012)
this work references cited by second hop

References

  • 1938A NEW MEASURE OF RANK CORRELATION7,315 cited
  • 2023Survey of feature selection and extraction techniques for stock market prediction237 cited
  • 2021A stock price prediction method based on deep learning technology175 cited
  • 2023Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022156 cited
  • 2022On technical trading and social media indicators for cryptocurrency price classification through deep learning110 cited
  • 2016Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets90 cited
  • 2022A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin86 cited
  • 2022A sentiment analysis approach to the prediction of market volatility75 cited
  • 2019Stock market prediction using Firefly algorithm with evolutionary framework optimized feature reduction for OSELM method70 cited
  • 2020Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches63 cited
  • 2021MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price55 cited
  • 2022Cryptocurrency Price Prediction with Convolutional Neural Network and Stacked Gated Recurrent Unit46 cited
  • 2020Analysis of Bitcoin prices using market and sentiment variables45 cited
  • 2023

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

Centralized decomposition approach in LSTM for Bitcoin price prediction
43 cited
  • 2024An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend37 cited
  • 2022Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context35 cited
  • Cited by

    No citing works inside the corpus for this window.