The Gateway to Algorithmic and Automated Trading

4th Annual Conference Behavioural Models & Sentiment Analysis Applied to Finance Conference

Unicom

18 Jun 2014 - 19 Jun 2014

London

Details: click here

Register: click here

SAVE THE DATE! This is the 4th conference on this topic organized by UNICOM Seminars Ltd. The programme focuses on the application of Sentiment Analysis to the respective models of trading, fund management and risk control. Specialists in the domain are invited to present their recent research results, case studies and technology overviews. There are also pre- and post-conference workshops on Market Microstructure, Liquidity and Automated Trading. In particular the topic of Algorithmic Trading is addressed. A special feature of this year's conference is the inclusion of Social Media data (Twitter, blogs, chat rooms); how trustworthy these are and how they influence market sentiment.

Background
Sentiment analysis has developed as a technology that applies machine learning and makes a rapid assessment of the sentiments expressed in news releases. News (events) move the market and are measured quantitatively. Analysts and investors digest financial news and their perceptions impact the market and move stock prices. This conference presents the current state of the art. It also explains how to apply Sentiment Analysis to the respective models of trading, fund management and risk control. The conference will present in a summary form the research results in this fast-emerging field. Industry participation by major news (meta) data suppliers such as Bloomberg, Thomson Reuters, Dow Jones, RavenPack and MarketPsych are under discussion. Case studies by investment banks, proprietary trading houses and financial analytics providers have been promised; more such contributions are solicited. Leading academics and researchers from Europe, UK and USA have agreed to contribute and participate in the conference.

To make programme suggestions, enquire about participation, sponsorship, exhibition contact Aqeela Rahman or Julie Valentine at UNICOM.

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