Prediction of Cryptocurrency Price using Machine Learning Techniques and Public Sentiment Analysis

Mishal, Mehedi Hasan; Rakhi, Nura Jannat; Rashid, Fahmida; Hamid, Kawsar; Morol, Md. Kishor; Jubair, Abdullah Al; Nandi, Dip

doi:10.1109/iccit57492.2022.10055524

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2024

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Cited by 4 publications

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Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer

Farooq,

Irfan Uddin,

Adnan

et al. 2024

Heliyon

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Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer

Farooq,

Irfan Uddin,

Adnan

et al. 2024

Heliyon

View full text Add to dashboard Cite

Forecasting Cryptocurrency Market Trends with Machine Learning and Deep Learning

Fadhil,

Makhool

2024

BIO Web Conf.

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Cryptocurrency became an important participant on the financial market as it attracts large investments and interests. With this vibrant setting, the proposed cryptocurrency price prediction tool stands as a pivotal element providing direction to both enthusiasts and investors in a market that presents itself grounded on numerous complexities of digital currency. Employing feature selection enchantment and dynamic trio of ARIMA, LSTM, Linear Regression techniques the tool creates a mosaic for users to analyze data using artificial intelligence towards forecasts in real-time crypto universe. While users navigate the algorithmic labyrinth, they are offered a vast and glittering selection of high-quality cryptocurrencies to select. The ability of the tool in analyzing past data on historical prices combined with machine learning, orchestrate an appealing scene of predictions equipped with choices and information, users turn into the main characters in a financial discovery story conducted by the cryptocurrency system. The numerical results also support the effectiveness of the tool as highlighted by standout corresponding numbers such as lower RMSE value 150.96 for ETH and minimized normalized RMSE scaled down to under, which is. The quantitative successes underline the usefulness of this tool to give precise predictions and improve user interaction in an entertaining world of cryptocurrency investments.

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Bitcoin Cryptocurrency Price Prediction Using IFA-BiLSTM

Pratama

2024

2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA)

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Prediction of Cryptocurrency Price using Machine Learning Techniques and Public Sentiment Analysis

Cited by 4 publications

References 15 publications

Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer

Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer

Forecasting Cryptocurrency Market Trends with Machine Learning and Deep Learning

Bitcoin Cryptocurrency Price Prediction Using IFA-BiLSTM

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