-to-all trading and support the development of a standardized term repo market. By mitigating counterparty risk through central … counterparty risk is reduced. However, for all-to-all trading to take hold, the market must adopt more standardized contract terms …

algorithmic trading. At the same time, significant structural changes in the industry have occurred, with passive investing … and support this by developing a second-generation Automated Adaptive Trading System (AATS) back-tested on a relevant …

This study develops a novel AI-based trading framework designed to consistently generate profits across cyclical … in bullish conditions and the other in bearish conditions, while a trading decision selector dynamically predicts market … period. Although the Sharpe ratio remains moderate, this outcome reflects the framework's emphasis on directional trading and …

) as well as its application in constructing an algorithmic trading system. The presented model uses the binary temporal … investment risk. In order to verify obtained results in practice, the paper presents a concept of creating an algorithmic trading …

We develop a deep reinforcement learning (RL) framework for an optimal market-making (MM) trading problem, specifically …

This paper shows that, in a setup 'a la Kyle (1985), correlated retail trading opens up new profit opportunities for … higher market liquidity and higher price efficiency. Our results lend support to concerns that social trading via …