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.
The compliance challenge around off-channel communications has moved beyond the familiar narrative of WhatsApp messages on personal phones. Today, the real issue confronting firms has become communication sprawl: conversations occurring across messaging apps, collaboration platforms, social media direct messages, personal email, and even messaging tools embedded within trading and workflow applications. Regulators’ expectations focus on...
The democratisation of alternative data has been a recurring theme at industry conferences for several years. The arrival of capable large language models has accelerated it. Datasets that once required specialist teams to ingest and structure can now be parsed by anyone with a reasonable prompt; signals that once took weeks to extract can be...
Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.
Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...