Price Prediction of Bitcoin using Social Media Activities and Past Trends

Author:

Sharma Krishna Pal1,Kumar Singh Shivam1,Choudhary Ankur2,Goel Himanshu3

Affiliation:

1. Dr. B. R. Ambedkar NIT,Department of Computer Science and Engineering,Jalandhar,Punjab,India

2. Graphic Era (Deemed to be University),Department of Computer Science and Engineering,Dehradun,India

3. R V Institute of Technology,Department of Computer Science and Engineering,Bijnor,India

Publisher

IEEE

Reference22 articles.

1. Time series forecasting using a hybrid ARIMA and neural network model

2. Predicting the direction of stock market index movement using an optimized artificial neural network model;song;PLoS ONE,2016

3. Predicting the direction, maximum, minimum and closing prices of daily bitcoin exchange rate using machine learning techniques;mallqui;Applied Soft Computing Journal,2018

4. Recurrent convolutional neural network for object recognition

5. Bits and bets, information, price volatility, and demand for bitcoin;delaney;Economics,2018

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1. A Novel Method of Bitcoin Price Prediction;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

2. A STUDY ON BITCOIN PRICE BEHAVIOUR WITH ANALYSIS OF DAILY BITCOIN PRICE DATA;FACTA UNIV-SER ELECT;2024

3. Nonlinear autoregressive with exogeneous input neural network time series model performance: bitcoin price prediction;International Journal of Computational Economics and Econometrics;2024

4. Price Trend Forecasting of Cryptocurrency Using Multiple Technical Indicators and SHAP;2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE);2023-06-28

5. A Deep Learning based Model for Predicting the future prices of Bitcoin;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

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