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Financial Technology: Algorithmic Trading and Social Media Analytics

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Two of the ‘hottest’ topics in financial technology are: a) high-frequency algorithmic trading where algorithmic trade automatically in milliseconds; and b) social media scraping and analytics such as using Twitter and News data to assess market sentiment. This presentation will describe the structure of Algorithmic Trading systems and how Social Media is scraped and sentiment analysis performed. It will then discuss applications in financial services and business analytics.

Philip Treleaven is Director of the UK Centre for Financial Computing and Business Analytics and Professor of Computing at UCL . The UK Centre is a collaboration of UCL , London School of Economics, London Business School and the major financial institutions and commercial organisations. The Centre undertakes analytics research in finance, retail, healthcare, services and sport. For the past 8 years the UK Centre has worked with many of the leading Investment Banks and Funds developing algorithmic trading systems, and for the past 3 years we have worked with the regulators on High-frequency trading risk and systemic risk. The UK Centre has over 60 PhD students working on finance and business analytics, and is unique in placing them in banks, funds and companies to develop advanced analytics and software. An additional 20-25 PhD students will join in October.

Admission free to CUCaTS members, £2 otherwise. Membership may also be bought at the door. As usual refreshments will be served 15 minutes before the start of the talk.

This talk is part of the Cambridge University Computing and Technology Society (CUCaTS) series.

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