Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dettagli Bibliografici
Autori principali:	Zaman, Md. Sayeed Ibne, Kamal, Mir Ishraq, Ishan, Samiu Mostafa, Khan, Shafayat Zamil, Hossain, Samiha
Altri autori:	Esfar-E-Alam
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2022
Soggetti:	Cryptocurrency LSTM Bitcoin Litecoin Ethereum Cryptocurrency price prediction Forecasting Long short-term memory SimpleRNN Random forest Machine learning Digital currency
Accesso online:	http://hdl.handle.net/10361/17208

Documenti analoghi

Blockchain based e-voting system with homomorphic encryption and threshold signature
di: Probor, Mushfique Nasir, et al.
Pubblicazione: (2023)

A sustainable Bitcoin architecture
di: Monem, Maruf
Pubblicazione: (2022)

Physical currency or crypto currency, which one will be better for our economy?
di: Rohan, Raian Kibria, et al.
Pubblicazione: (2024)

Efficient blockchain system based on proof of segmented work
di: Ahmed, Rashad, et al.
Pubblicazione: (2020)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
di: Rabbi, Md. Nafis
Pubblicazione: (2024)

Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
di: Al-Wasee, Mohammad Samin, et al.
Pubblicazione: (2022)

ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network
di: Dutta, Amit
Pubblicazione: (2024)

coinBD: an enhanced version of proof of work with less computational power
di: Hossain, Mohammad Badrul, et al.
Pubblicazione: (2019)

Conversion of Bengali speech to text using long short-term memory(LSTM)
di: Chowdhury, Mohammad Fahim, et al.
Pubblicazione: (2021)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
di: Maliha, Miftahul Zannat, et al.
Pubblicazione: (2023)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
di: Chakraborty, Dhruba, et al.
Pubblicazione: (2022)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
di: Ghose, Swattic, et al.
Pubblicazione: (2023)

Advanced health insurance system using smart contract of ethereum blockchain
di: Tushar, Mehedi Hasan, et al.
Pubblicazione: (2023)

Blockchain-based micropayment system for secured cashless small payments
di: Siam, Morshed, et al.
Pubblicazione: (2022)

Share market forecasting with LSTM neural network and sentimental trend prediction
di: Rony, Ismail Hossain, et al.
Pubblicazione: (2020)

Human sentiment analysis using natural language processing
di: Shamya, Md. Shamiul Haque Khan, et al.
Pubblicazione: (2024)

Towards devising a fund management system using blockchain
di: Bente Rashid, Nibula, et al.
Pubblicazione: (2022)

Accelerating ggplot2 based projection on r-map using NVIDIA GPU
di: Islam, Md. Zahidul, et al.
Pubblicazione: (2016)

Bangla hate speech detection on social media using attention-based recurrent neural network
di: Das, Amit Kumar, et al.
Pubblicazione: (2022)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
di: Arafat, Sheikh Mohammad, et al.
Pubblicazione: (2021)

Bitcoin price forecasting based on historical data
di: Roy, Shaily, et al.
Pubblicazione: (2018)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
di: Mahmud, Booshra Nazifa, et al.
Pubblicazione: (2019)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
di: Fiha, Yeamin Jahan, et al.
Pubblicazione: (2022)

The influence of neuromarketing: machine learning based empirical analysis
di: Muktadir, MD. Abdullah Al, et al.
Pubblicazione: (2024)

Analyzing area-wise air pollution level using machine learning for a better future
di: Sihan, Sk. Atik Tajwar, et al.
Pubblicazione: (2021)

Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
di: Hossain, Shoumik, et al.
Pubblicazione: (2022)

The Use of Encompassing Tests for Forecast Combinations /
di: Kisinbay, Turgut
Pubblicazione: (2007)

Demand forecasting on supply chain using ML and NN
di: Hridi, Naoshin Anzum, et al.
Pubblicazione: (2023)

Revolutionizing microfinance: a blockchain-driven decentralized finance (DeFi) model for collateral-free loans
di: Tasin, Md. Ishmam, et al.
Pubblicazione: (2023)

Analysis of financial data on the time series using data from the stock market
di: Shachcha, Ifad Bhuiyan, et al.
Pubblicazione: (2022)

Cryptocurrency price prediction using Social Media Data Mining and Epidemic Modeling
di: Safa, Bushra, et al.
Pubblicazione: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
di: Nirjhor, S M Mahsanul Islam, et al.
Pubblicazione: (2019)

Short term load forecasting based on Internet of Things (IoT)
di: Uz Zaman, Mahdi, et al.
Pubblicazione: (2018)

RED-LSTM: Real time emotion detection using LSTM
di: Labiba, Mansura Rahman, et al.
Pubblicazione: (2023)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
di: Uddin, S. M. Rageeb Noor, et al.
Pubblicazione: (2022)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
di: Morshed, Atique, et al.
Pubblicazione: (2021)

Ensure security in supply chain with blockchain technology
di: Tarannum, Fairuz, et al.
Pubblicazione: (2023)

Leveraging sequential deep learning models for detecting multitude of human action categories
di: Pranta, Kazi Al Refat, et al.
Pubblicazione: (2024)

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
di: Chakraborty, Pranjal
Pubblicazione: (2019)

The unloved dollar standard
di: McKinnon, Ronald I.