3 papers
cs.CL2026
LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream Arbitration
Adam Darmanin
Maltese has substantial text corpora and pretrained language models, but paragraph-scale OCR training data remains scarce; NOMOCRAT provides 57 verified annotated pages. LV-ROVER-M…
q-fin.ST2026
Retail Trader's Ruin: An Anatomy of Popular Signal Failure
Adam Darmanin
We test whether five widely promoted retail signal families - trend, oscillator, candlestick, volume, and calendar rules - deliver a positive, economically meaningful, net-of-cost,…
cs.LG2025
Language Model Guided Reinforcement Learning in Quantitative Trading
Adam Darmanin, Vince Vella
Algorithmic trading requires short-term tactical decisions consistent with long-term financial objectives. Reinforcement Learning (RL) has been applied to such problems, but adopti…