Machine-readable news platform provider RavenPack has granted access to its historical data to crowd researchers seeking alpha signals on CloudQuant’s online Python and JupyterLab-based tools. The initiative aims to support data scientists designing tools to improve financial modelling.
Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening across sell-side desks, electronic market makers, and an expanding range of buy-side participants. The technology landscape...
As the EU’s new Anti-Money Laundering Authority raises expectations around AML, firms are moving beyond transaction monitoring towards behavioural intelligence. Adam McLaughlin, Director of Financial Crime at Fenergo, argues that whilst AI will become central to that transition, human judgement remains the deciding factor. Historically, financial institutions have approached anti-money laundering as a process centred...
Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...