Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines
importance 3/10
partially solved
Stock Market Forecasting Methods cryptocurrency trading stage: research
Problem
Predicting cryptocurrency exchange rates is difficult because financial markets are non-linear and disordered.
Why it matters
Traders and investors face losses in highly volatile, hard-to-predict cryptocurrency markets.
What the AI did
Applied the XGBoost machine learning algorithm with data mining techniques and a blockchain framework to predict cryptocurrency exchange rates.
Results
XGBoost claimed highest prediction output; concrete accuracy figures not stated in source.
Impact
Evidence supports only a proposed prediction system; no verified deployment or benchmark figures stated.
Record
| Venue | Sensors |
|---|---|
| Published | 2022 |
| Work type | article |
| Authors | Zeinab Shahbazi, Yung-Cheol Byun |
| Citations | 34 (OpenAlex, at import time) |
| References | 54 |
| Model or method | XGBoost |
| Organization | not stated in source |
| Primary source | https://doi.org/10.3390/s22051740 |
| Open access | gold |
| Keywords | cryptocurrency, exchange rate prediction, XGBoost, machine learning, blockchain |
Importance rating
3
incremental / niche
Crypto exchange-rate prediction to help traders in volatile markets; narrow financial application, no stated scale, deployment, or verified benchmark figures.
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