Forecasting the Early Market Movement in Bitcoin Using Twitters Sentiment Analysis An Ensemble based Prediction Model

Understanding BITCOIN Market Mechanics Using Feature Engineering, Data Modeling, and Forecasting Methods
Ibrahim, Ahmed 2024. Understanding BITCOIN Market Mechanics Using Feature Engineering, Data Modeling, and Forecasting Methods. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/wvx46

Analyzing BTC’s Trend During COVID-19 Using A Sentiment Consensus Clustering (SCC)
Ibrahim, A. 2021. Analyzing BTC’s Trend During COVID-19 Using A Sentiment Consensus Clustering (SCC). 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Vancouver, Canada 27 - 30 Oct 2021 IEEE . https://doi.org/10.1109/IEMCON53756.2021.9623182

Predicting market movement direction for bitcoin: A comparison of time series modeling methods
Ibrahim, A., Kashef, R. and Corrigan, L. 2021. Predicting market movement direction for bitcoin: A comparison of time series modeling methods. Computers and Electrical Engineering. 89 106905. https://doi.org/10.1016/j.compeleceng.2020.106905

Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model
Ibrahim, A., Corrigan, L. and Kashef, R. 2020. Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). London, Ontario, Canada 30 Aug - 02 Sep 2020 IEEE . https://doi.org/10.1109/CCECE47787.2020.9255711

Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables
Ibrahim, A., Kashef, R., Li, M., Valencia, E. and Huang, E. 2020. Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables. Journal of Risk and Financial Management. 13 (9) 9. https://doi.org/10.3390/jrfm13090189