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Wise Guidance: Sound practices for algorithmic trading from HKMA

As markets have evolved rapidly over the past two decades, regulators have faced the difficult task of adapting to the new realities brought about by the emergence of electronic trading. New trading practices, particularly with algorithmic trading, have dramatically altered the structure of the market and introduced new risk factors that were never envisioned when

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Machine Learning: For Next Level Surveillance

Amid widespread hype around machine learning, trade surveillance is one area where practical applications and success are already a reality. As advances continue, don’t miss out.   This article originally appeared in the 1LoD “2020 Surveillance Benchmarking Survey & Report”.   Machine learning holds huge promise for the evolution of trade surveillance and monitoring, some

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End of the Tens: What the Last Decade Taught Us About Trading Surveillance and Compliance

The decade that we’ll call “The Tens” has come and gone, making it a natural time to pause and reflect on developments in the realm of market regulation and what those developments might mean as we step into the Twenties. This exercise is particularly relevant because it has been exactly ten years since the passage

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