Abstract: With its inherent volatility and complexity, the BitCoin market poses a significant obstacle to precise price prediction. The purpose of this survey study is to examine and compare the effectiveness of two popular prediction approaches—Decision Tree and Regression techniques—with more sophisticated Machine Learning techniques. We provide an in-depth analysis of these various methods' success in predicting cryptocurrency prices, highlighting their advantages, disadvantages, and ability to produce accurate forecasts. By conducting a thorough investigation, we hope to offer insights that further the current discussion on successful prediction techniques in the ever-changing cryptocurrency markets.
Keywords: BitCoin market, Price prediction, Regression techniques, Machine learning technique, Analysis.
Cite:
S. BAKYALAKSHMI, D. BHUVANESHWARI,"Cryptographic Applications for BitCoin Prediction", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13303.
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DOI:
10.17148/IJARCCE.2024.13303
