Exploring multi-horizon cryptocurrency forecasting: can machine learning drive profitable trading strategies?
- 12 October 2026
- journal article
- research article
- Published by Springer Nature in Annals of Operations Research
- p. 1-77
Abstract
No abstract availableKeywords
This publication has 48 references indexed in Scilit:
- Evolution of neural architectures for financial forecasting: a note on data incompatibility during crisis periodsAnnals of Operations Research, 2024
- Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importanceStatistics and Computing, 2021
- A CNN–LSTM model for gold price time-series forecastingNeural Computing and Applications, 2020
- Prediction of the price of Ethereum blockchain cryptocurrency in an industrial finance systemComputers and Electrical Engineering, 2020
- Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time seriesApplied Soft Computing, 2020
- Cryptocurrency forecasting with deep learning chaotic neural networksChaos, Solitons & Fractals, 2019
- Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol2017
- Ensemble-based classifiersArtificial Intelligence Review, 2009
- The Elements of Statistical Learning2009
- Computing Machinery and Intelligence2007