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Avraam Tsantekidis

2 accepted papers

2022

Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability

ICASSP 2022accepted

Deep Learning (DL) models are increasingly used for financial forecasting problems, such as price or trend prediction of a financial asset. However, most methods either rely solely on price information or require difficult to implement data harvesting pipelines, e.g., from social media, to deploy th…

Cited by 0SourceScholar
2019

Deep Reinforcement Learning for Financial Trading Using Price Trailing

ICASSP 2019accepted

Developing accurate financial analysis tools can be useful both for speculative trading, as well as for analyzing the behavior of markets and promptly responding to unstable conditions ensuring the smooth operation of the financial markets. This led to the development of various methods for analyzin…

Cited by 0SourceScholar