Bitcoin Price Forecasting Using Time Series Analysis

被引：0
|
作者：
Roy, Shaily [1 ]
Nanjiba, Samiha [1 ]
Chakrabarty, Amitabha [1 ]
机构：
[1] BRAC Univ, Dept Comp Sci & Engn, 66 Mohakhali, Dhaka, Bangladesh
来源：
2018 21ST INTERNATIONAL CONFERENCE OF COMPUTER AND INFORMATION TECHNOLOGY (ICCIT) | 2018年
关键词：
bitcoin; stationarity; trend; close price; time series analysis; ARIMA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers to trade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since its launch in 2009, it has become widely popular amongst various kinds of people for its trading system without the need of a third party and also due to high volatility of Bitcoin price. In this paper, we propose a suitable model that can predict the market price of Bitcoin best by applying a few statistical analysis. Our work is done on four year's bitcoin data from 2013 to 2017 based on time series approaches especially autoregressive integrated moving average (ARIMA) model and the work finally could acquire an accuracy of 90% for deciding volatility in weighted costs of bitcoin in the short run.
引用
下载
收藏
页数：5
相关论文
共 50 条
  • [11] Forecasting Bitcoin price using time opinion mining and bi-directional GRU
    Akbar, Sumaiya Begum
    Thanupillai, Kalaiselvi
    Govindarajan, Valarmathi
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 42 (03) : 1825 - 1833
  • [12] Electricity Price Instability over Time: Time Series Analysis and Forecasting
    Wang, Diankai
    Gryshova, Inna
    Kyzym, Mykola
    Salashenko, Tetiana
    Khaustova, Viktoriia
    Shcherbata, Maryna
    SUSTAINABILITY, 2022, 14 (15)
  • [13] Time Series Forecasting of Bitcoin Price Based on Autoregressive Integrated Moving Average and Machine Learning Approaches
    Khedmati, M.
    Seifi, F.
    Azizib, M. J.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2020, 33 (07): : 1293 - 1303
  • [14] Cryptocurrency Price Prediction using Time Series Forecasting (ARIMA)
    Kumar, Sampat U.
    Aanandhi, S. P.
    Akhilaa, S. P.
    Vardarajan, Vijayakumar
    Sathiyanarayanan, Mithileysh
    2021 4TH INTERNATIONAL SEMINAR ON RESEARCH OF INFORMATION TECHNOLOGY AND INTELLIGENT SYSTEMS (ISRITI 2021), 2020,
  • [15] Copper Metal Price Using Chaotic Time Series Forecasting
    Carrasco, R.
    Vargas, M.
    Alfaro, M.
    Soto, I.
    Fuertes, G.
    IEEE LATIN AMERICA TRANSACTIONS, 2015, 13 (06) : 1961 - 1965
  • [16] STATIONARY TIME SERIES ANALYSIS AND COMMON STOCK PRICE FORECASTING
    SZATROWSKI, Z
    ANNALS OF MATHEMATICAL STATISTICS, 1949, 20 (01): : 133 - 134
  • [17] Time Series Analysis by Bi-GRU for Forecasting Bitcoin Trends based on Sentiment Analysis
    Saadatmand, Fatemeh
    Zare Chahoki, Mohammad Ali
    2023 13th International Conference on Computer and Knowledge Engineering, ICCKE 2023, 2023, : 323 - 328
  • [18] Forecasting Bitcoin returns: Econometric time series analysis vs. machine learning
    Berger, Theo
    Koubová, Jana
    Journal of Forecasting, 43 (07): : 2904 - 2916
  • [19] Cryptocurrency price fluctuation and time series analysis through candlestick pattern of bitcoin and ethereum using machine learning
    Kapur, Geeta
    Manohar, Sridhar
    Mittal, Amit
    Jain, Vishal
    Trivedi, Sonal
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2024, 41 (08) : 2055 - 2074
  • [20] Forecasting Bitcoin returns: Econometric time series analysis vs. machine learning
    Berger, Theo
    Koubova, Jana
    JOURNAL OF FORECASTING, 2024,
12345