Regulation of Algorithmic Trading: Frameworks for Human Supervision and Direct Market Interventions

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Regulation of Algorithmic Trading: Frameworks for Human Supervision and Direct Market Interventions

This paper identifies the regulatory gaps that currently exist in algorithmic trading and provides a framework for machine learning regulation in finance. It compares the regulation of algorithmic trading in the capital markets by both human supervision and direct market intervention in the UK, the EU and the US to identify techniques they have in common, as well as local differences.

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