TITLE:
Predicting Future Cryptocurrency Prices Using Machine Learning Algorithms
AUTHORS:
Vaibhav Saha
KEYWORDS:
Cryptocurrency Price Prediction, Machine Learning Algorithms, Feature Engineering, Performance Metrics
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.11 No.4,
November
10,
2023
ABSTRACT: Cryptocurrency
price prediction has garnered significant attention due to the growing
importance of digital assets in the financial landscape. This paper presents a
comprehensive study on predicting future cryptocurrency prices using machine
learning algorithms. Open-source historical data from various cryptocurrency
exchanges is utilized. Interpolation techniques are employed to handle missing
data, ensuring the completeness and reliability of the dataset. Four technical
indicators are selected as features for prediction. The study explores the
application of five machine learning algorithms to capture the complex patterns
in the highly volatile cryptocurrency market. The findings demonstrate the
strengths and limitations of the different approaches, highlighting the
significance of feature engineering and algorithm selection in achieving
accurate cryptocurrency price predictions. The research contributes valuable
insights into the dynamic and rapidly evolving field of cryptocurrency price
prediction, assisting investors and traders in making informed decisions amidst
the challenges posed by the cryptocurrency market.