Trading Volume Maximization with Online Learning
By Tommaso Cesari, Roberto Colomboni
Rating
1646
Battle Count: 65
Relevance
8/10
Highly relevant for optimizing trading strategies in OTC markets and improving market liquidity
Implementation Complexity
7/10
Requires advanced knowledge of online learning and game theory, but algorithms are well-described
Reproducibility
4/5
Detailed algorithms and proofs provided, but no code repository mentioned
About this paper
Methodology: Online Learning. Problem types: Online Learning, Optimization.
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