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We present the first direct evidence of algorithmic imprints during batch auctions. Order anticipation is an integral part of high-frequency traders' strategies. Hence, some participants may have economic incentive to encrypt noise in the data. We use machine learning to identify five types of...
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These working notes on algorithmic trading are designed as an introduction to the basic equations that govern the day-to-day trading of an investment portfolio to meet a predefined strategic asset allocation. The algebraic framework applies generally to long only and long/short strategies. It...
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the 2010 flash crash. The results show that our algorithm outperforms the risk-neutral reinforcement learning algorithm by …
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