Reinforcement learning trading systems published in the academic literature overwhelmingly rely on price-aggregate state representations (OHLCV bars) or limit-order-book depth features, leaving microstructure pattern theories from the practitioner literature, namely Auction Market Theory and Market Profile, without a p...
Asser Moustafa, Rares-Mihail Neagu, Jugal K. Kalita· 0 citations
Experimental results demonstrate that the coarsening technique significantly accelerates dynamic GNN training and inference without compromising predictive performance, offering a practical path toward scalable dynamic graph learning.
Hieu Vu, Rares-Mihail Neagu, B. Adhikari· Proceedings of the 32nd ACM...· 0 citations
Experimental results demonstrate that the coarsening technique significantly accelerates dynamic GNN training and inference without compromising predictive performance, offering a practical path toward scalable dynamic graph learning.
Hieu Vu, Rares-Mihail Neagu, Bijaya Adhikari· Proceedings of the 32nd ACM...· 0 citations
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