3 papers
cs.LG2026
Decoding Market Emotion from Blockchain Activity: A Data-Driven Sentiment Classifier
Arthur G. Bubolz, Abreu Quevedo, Giancarlo Lucca +3
The paper proposes a machine‑learning system that classifies Bitcoin market sentiment by integrating on‑chain transaction data, price history, and daily Twitter sentiment, achievin…
cs.AI2026
Impact of Data-Oriented and Object-Oriented Design on Performance and Cache Utilization with Artificial Intelligence Algorithms in Multi-Threaded CPUs
Gabriel M. Arantes, Giancarlo Lucca, Eduardo N. Borges +3
The growing performance gap between multi-core CPUs and main memory necessitates hardware-aware software design paradigms. This study provides a comprehensive performance analysis…
q-fin.CP2025
Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements
Gabriel M. Arantes, Richard F. Pinto, Bruno L. Dalmazo +5
Binary options trading is often marketed as a field where predictive models can generate consistent profits. However, the inherent randomness and stochastic nature of binary option…